Release v2.7.5

- Add doctor examples to main README with documentation link
- Sort checks by category in list_available_checks()
- Update registry method call from list_checks() to get_all_checks()
- Remove unused results variable in run_environment_checks()
- Fix f-string formatting in CI integration print statement

README.md

@@ -2359,6 +2359,24 @@ agent = Agent(
 | 🌐 Web Search - Real-time search | [📖](https://docs.praison.ai/docs/cli/web-search) |
 | 📥 Web Fetch - URL content retrieval | [📖](https://docs.praison.ai/docs/cli/web-fetch) |
 | 💾 Prompt Caching - Cost reduction | [📖](https://docs.praison.ai/docs/cli/prompt-caching) |
+| 📦 Template Catalog - Browse & discover templates | [📖](https://docs.praison.ai/docs/cli/template-catalog) |
+
+### Template Catalog CLI
+
+| Command | Description |
+|---------|-------------|
+| `praisonai templates browse` | Open template catalog in browser |
+| `praisonai templates browse --print` | Print catalog URL only |
+| `praisonai templates validate` | Validate template YAML files |
+| `praisonai templates validate --source <dir>` | Validate specific directory |
+| `praisonai templates validate --strict` | Strict validation mode |
+| `praisonai templates validate --json` | JSON output format |
+| `praisonai templates catalog build` | Build catalog locally |
+| `praisonai templates catalog build --out <dir>` | Build to specific directory |
+| `praisonai templates catalog sync` | Sync template sources |
+| `praisonai templates catalog sync --source <name>` | Sync specific source |
+
+**Examples:** [examples/catalog/](examples/catalog/) | **Docs:** [Code](https://docs.praison.ai/docs/cli/template-catalog-code) | [CLI](https://docs.praison.ai/docs/cli/template-catalog)
 
 ---
 

docker/Dockerfile.chat

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.7.0" \
+    "praisonai>=2.7.5" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.dev

@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.7.0" \
+    "praisonai>=2.7.5" \
     "praisonai[ui]" \
     "praisonai[chat]" \
     "praisonai[realtime]" \

docker/Dockerfile.ui

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.7.0" \
+    "praisonai>=2.7.5" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

examples/README.md

@@ -14,6 +14,7 @@ examples/
 │   ├── memory/       # Memory and sessions
 │   ├── code/         # Code editing and external CLI tools
 │   └── ...
+├── serve/            # Server and endpoints examples
 ├── yaml/             # YAML workflow examples
 └── cookbooks/        # Complete use-case examples
 ```
@@ -30,6 +31,23 @@ examples/
 | **Tools** | [python/tools/](python/tools/) | [📖](https://docs.praison.ai/tools) |
 | **Code** | [python/code/](python/code/) | [📖](https://docs.praison.ai/code) |
 | **YAML** | [yaml/](yaml/) | [📖](https://docs.praison.ai/features/yaml-workflows) |
+| **Doctor** | [doctor/](doctor/) | [📖](https://docs.praison.ai/cli/doctor) |
+| **Serve** | [serve/](serve/) | [📖](https://docs.praison.ai/cli/serve) |
+| **Endpoints** | [serve/](serve/) | [📖](https://docs.praison.ai/cli/endpoints) |
+
+## Serve Examples
+
+| Example | Description | CLI Command |
+|---------|-------------|-------------|
+| [unified_server.py](serve/unified_server.py) | All providers in one server | `praisonai serve unified` |
+| [agent_as_api_single.py](serve/agent_as_api_single.py) | Single agent HTTP API | `praisonai serve agents` |
+| [agents_as_api_router.py](serve/agents_as_api_router.py) | Multi-agent router API | `praisonai serve agents` |
+| [a2a_server_client.py](serve/a2a_server_client.py) | A2A protocol server | `praisonai serve a2a` |
+| [a2u_events_stream.py](serve/a2u_events_stream.py) | A2U event stream | `praisonai serve a2u` |
+| [mcp_http_server.py](serve/mcp_http_server.py) | MCP HTTP server | `praisonai serve mcp` |
+| [tools_as_mcp_server.py](serve/tools_as_mcp_server.py) | Tools as MCP server | `praisonai serve tools` |
+| [agent_launch_modes.py](serve/agent_launch_modes.py) | Agent.launch() API | Python only |
+| [endpoints_unified_client.py](serve/endpoints_unified_client.py) | Unified client | `praisonai endpoints` |
 
 ## Running Examples
 

examples/catalog/fetch_templates.py

@@ -0,0 +1,148 @@
+#!/usr/bin/env python3
+"""
+Example: Fetch and search PraisonAI templates from the catalog.
+
+This example demonstrates how to:
+- Fetch templates.json from the deployed catalog
+- Search templates by keyword
+- Filter by tags and requirements
+- Generate CLI commands
+"""
+
+import json
+import urllib.request
+from typing import List, Dict, Any, Optional
+
+CATALOG_URL = "https://mervinpraison.github.io/praisonai-template-catalog/data/templates.json"
+
+
+def fetch_catalog(url: str = CATALOG_URL) -> Dict[str, Any]:
+    """Fetch the template catalog from URL."""
+    try:
+        with urllib.request.urlopen(url, timeout=10) as response:
+            return json.loads(response.read().decode())
+    except Exception as e:
+        print(f"Failed to fetch catalog: {e}")
+        # Return empty catalog on failure
+        return {"version": "0.0.0", "count": 0, "templates": []}
+
+
+def search_templates(templates: List[Dict], query: str) -> List[Dict]:
+    """Search templates by name, description, or tags."""
+    query = query.lower()
+    results = []
+    for t in templates:
+        if (query in t.get("name", "").lower() or 
+            query in t.get("description", "").lower() or
+            any(query in tag.lower() for tag in t.get("tags", []))):
+            results.append(t)
+    return results
+
+
+def filter_by_tags(templates: List[Dict], tags: List[str]) -> List[Dict]:
+    """Filter templates that have all specified tags."""
+    return [
+        t for t in templates
+        if all(tag in t.get("tags", []) for tag in tags)
+    ]
+
+
+def filter_by_tool(templates: List[Dict], tool_name: str) -> List[Dict]:
+    """Filter templates that require a specific tool."""
+    return [
+        t for t in templates
+        if tool_name in t.get("requires", {}).get("tools", [])
+    ]
+
+
+def get_template(templates: List[Dict], name: str) -> Optional[Dict]:
+    """Get a template by name."""
+    for t in templates:
+        if t.get("name") == name:
+            return t
+    return None
+
+
+def generate_cli_command(template: Dict, action: str = "run") -> str:
+    """Generate CLI command for a template."""
+    name = template.get("name", "unknown")
+    if action == "run":
+        return f"praisonai templates run {name}"
+    elif action == "info":
+        return f"praisonai templates info {name}"
+    elif action == "init":
+        return f"praisonai templates init my-project --template {name}"
+    return f"praisonai templates {action} {name}"
+
+
+def print_template_summary(template: Dict):
+    """Print a summary of a template."""
+    print(f"\n{'='*60}")
+    print(f"Name: {template.get('name')}")
+    print(f"Version: {template.get('version')}")
+    print(f"Description: {template.get('description', '')[:100]}...")
+    print(f"Tags: {', '.join(template.get('tags', []))}")
+    
+    requires = template.get("requires", {})
+    if requires.get("tools"):
+        print(f"Tools: {', '.join(requires['tools'])}")
+    if requires.get("packages"):
+        print(f"Packages: {', '.join(requires['packages'])}")
+    if requires.get("env"):
+        print(f"Env vars: {', '.join(requires['env'])}")
+    
+    print(f"\nRun: {generate_cli_command(template, 'run')}")
+    print(f"{'='*60}")
+
+
+def main():
+    print("PraisonAI Template Catalog - Python Example")
+    print("-" * 45)
+    
+    # Fetch catalog
+    print("\n1. Fetching template catalog...")
+    catalog = fetch_catalog()
+    templates = catalog.get("templates", [])
+    
+    print(f"   Catalog version: {catalog.get('version', 'unknown')}")
+    print(f"   Total templates: {len(templates)}")
+    
+    if not templates:
+        print("   No templates found. The catalog may not be deployed yet.")
+        print("   Try building locally: praisonai templates catalog build")
+        return
+    
+    # List all templates
+    print("\n2. Available templates:")
+    for t in templates:
+        print(f"   - {t.get('name')} (v{t.get('version')})")
+    
+    # Search for video templates
+    print("\n3. Searching for 'video' templates...")
+    video_templates = search_templates(templates, "video")
+    print(f"   Found {len(video_templates)} video templates:")
+    for t in video_templates:
+        print(f"   - {t.get('name')}: {t.get('description', '')[:50]}...")
+    
+    # Filter by tool
+    print("\n4. Templates using 'shell_tool':")
+    shell_templates = filter_by_tool(templates, "shell_tool")
+    for t in shell_templates:
+        print(f"   - {t.get('name')}")
+    
+    # Get specific template details
+    if templates:
+        first_template = templates[0]
+        print(f"\n5. Template details for '{first_template.get('name')}':")
+        print_template_summary(first_template)
+    
+    # Generate CLI commands
+    print("\n6. CLI commands for all templates:")
+    for t in templates[:5]:  # First 5 only
+        print(f"   {generate_cli_command(t, 'run')}")
+    
+    print("\nDone!")
+
+
+if __name__ == "__main__":
+    main()

examples/catalog/fetch_templates.ts

@@ -0,0 +1,167 @@
+#!/usr/bin/env npx ts-node
+/**
+ * Example: Fetch and search PraisonAI templates from the catalog.
+ * 
+ * This TypeScript example demonstrates how to:
+ * - Fetch templates.json from the deployed catalog
+ * - Search templates by keyword
+ * - Filter by tags and requirements
+ * - Generate CLI commands
+ */
+
+const CATALOG_URL = "https://mervinpraison.github.io/praisonai-template-catalog/data/templates.json";
+
+interface Template {
+  name: string;
+  version: string;
+  description: string;
+  author?: string;
+  license?: string;
+  tags?: string[];
+  category?: string;
+  difficulty?: "beginner" | "intermediate" | "advanced";
+  requires?: {
+    tools?: string[];
+    packages?: string[];
+    env?: string[];
+  };
+}
+
+interface Catalog {
+  version: string;
+  generated_at: string;
+  count: number;
+  templates: Template[];
+}
+
+async function fetchCatalog(url: string = CATALOG_URL): Promise<Catalog> {
+  const response = await fetch(url);
+  if (!response.ok) {
+    throw new Error(`Failed to fetch catalog: ${response.statusText}`);
+  }
+  return response.json();
+}
+
+function searchTemplates(templates: Template[], query: string): Template[] {
+  const q = query.toLowerCase();
+  return templates.filter(t =>
+    t.name.toLowerCase().includes(q) ||
+    t.description?.toLowerCase().includes(q) ||
+    t.tags?.some(tag => tag.toLowerCase().includes(q))
+  );
+}
+
+function filterByTags(templates: Template[], tags: string[]): Template[] {
+  return templates.filter(t =>
+    tags.every(tag => t.tags?.includes(tag))
+  );
+}
+
+function filterByTool(templates: Template[], toolName: string): Template[] {
+  return templates.filter(t =>
+    t.requires?.tools?.includes(toolName)
+  );
+}
+
+function getTemplate(templates: Template[], name: string): Template | undefined {
+  return templates.find(t => t.name === name);
+}
+
+function generateCLICommand(template: Template, action: string = "run"): string {
+  const name = template.name;
+  switch (action) {
+    case "run":
+      return `praisonai templates run ${name}`;
+    case "info":
+      return `praisonai templates info ${name}`;
+    case "init":
+      return `praisonai templates init my-project --template ${name}`;
+    default:
+      return `praisonai templates ${action} ${name}`;
+  }
+}
+
+function printTemplateSummary(template: Template): void {
+  console.log("\n" + "=".repeat(60));
+  console.log(`Name: ${template.name}`);
+  console.log(`Version: ${template.version}`);
+  console.log(`Description: ${template.description?.slice(0, 100)}...`);
+  console.log(`Tags: ${template.tags?.join(", ") || "none"}`);
+  
+  const requires = template.requires;
+  if (requires?.tools?.length) {
+    console.log(`Tools: ${requires.tools.join(", ")}`);
+  }
+  if (requires?.packages?.length) {
+    console.log(`Packages: ${requires.packages.join(", ")}`);
+  }
+  if (requires?.env?.length) {
+    console.log(`Env vars: ${requires.env.join(", ")}`);
+  }
+  
+  console.log(`\nRun: ${generateCLICommand(template, "run")}`);
+  console.log("=".repeat(60));
+}
+
+async function main(): Promise<void> {
+  console.log("PraisonAI Template Catalog - TypeScript Example");
+  console.log("-".repeat(45));
+  
+  // Fetch catalog
+  console.log("\n1. Fetching template catalog...");
+  let catalog: Catalog;
+  try {
+    catalog = await fetchCatalog();
+  } catch (error) {
+    console.log(`   Failed to fetch: ${error}`);
+    console.log("   The catalog may not be deployed yet.");
+    return;
+  }
+  
+  const templates = catalog.templates;
+  console.log(`   Catalog version: ${catalog.version}`);
+  console.log(`   Total templates: ${templates.length}`);
+  
+  if (templates.length === 0) {
+    console.log("   No templates found.");
+    return;
+  }
+  
+  // List all templates
+  console.log("\n2. Available templates:");
+  templates.forEach(t => {
+    console.log(`   - ${t.name} (v${t.version})`);
+  });
+  
+  // Search for video templates
+  console.log("\n3. Searching for 'video' templates...");
+  const videoTemplates = searchTemplates(templates, "video");
+  console.log(`   Found ${videoTemplates.length} video templates:`);
+  videoTemplates.forEach(t => {
+    console.log(`   - ${t.name}: ${t.description?.slice(0, 50)}...`);
+  });
+  
+  // Filter by tool
+  console.log("\n4. Templates using 'shell_tool':");
+  const shellTemplates = filterByTool(templates, "shell_tool");
+  shellTemplates.forEach(t => {
+    console.log(`   - ${t.name}`);
+  });
+  
+  // Get specific template details
+  if (templates.length > 0) {
+    const firstTemplate = templates[0];
+    console.log(`\n5. Template details for '${firstTemplate.name}':`);
+    printTemplateSummary(firstTemplate);
+  }
+  
+  // Generate CLI commands
+  console.log("\n6. CLI commands for all templates:");
+  templates.slice(0, 5).forEach(t => {
+    console.log(`   ${generateCLICommand(t, "run")}`);
+  });
+  
+  console.log("\nDone!");
+}
+
+main().catch(console.error);

examples/catalog/run_all_catalog_examples.py

@@ -0,0 +1,121 @@
+#!/usr/bin/env python3
+"""
+Run all catalog examples and report pass/fail status.
+
+Usage:
+    python run_all_catalog_examples.py
+    
+Environment variables:
+    OPENAI_API_KEY or PRAISONAI_OPENAI_API_KEY - Required for agent example
+    PRAISONAI_RUN_INTEGRATION - Set to "1" to run integration tests
+"""
+
+import os
+import subprocess
+import sys
+from pathlib import Path
+
+SCRIPT_DIR = Path(__file__).parent
+
+
+def run_example(name: str, script: str, requires_api_key: bool = False) -> bool:
+    """Run an example script and return success status."""
+    print(f"\n{'='*60}")
+    print(f"Running: {name}")
+    print(f"Script: {script}")
+    print("="*60)
+    
+    # Check API key requirement
+    if requires_api_key:
+        api_key = os.environ.get("OPENAI_API_KEY") or os.environ.get("PRAISONAI_OPENAI_API_KEY")
+        run_integration = os.environ.get("PRAISONAI_RUN_INTEGRATION") == "1"
+        
+        if not api_key:
+            print(f"⏭️  SKIPPED: {name} (no API key)")
+            print("   Set OPENAI_API_KEY to run this example")
+            return True  # Not a failure, just skipped
+        
+        if not run_integration:
+            print(f"⏭️  SKIPPED: {name} (integration tests disabled)")
+            print("   Set PRAISONAI_RUN_INTEGRATION=1 to run")
+            return True
+    
+    script_path = SCRIPT_DIR / script
+    if not script_path.exists():
+        print(f"❌ FAILED: Script not found: {script_path}")
+        return False
+    
+    try:
+        result = subprocess.run(
+            [sys.executable, str(script_path)],
+            capture_output=True,
+            text=True,
+            timeout=60,
+            cwd=str(SCRIPT_DIR)
+        )
+        
+        print(result.stdout)
+        if result.stderr:
+            print(f"STDERR: {result.stderr}")
+        
+        if result.returncode == 0:
+            print(f"✅ PASSED: {name}")
+            return True
+        else:
+            print(f"❌ FAILED: {name} (exit code {result.returncode})")
+            return False
+            
+    except subprocess.TimeoutExpired:
+        print(f"❌ FAILED: {name} (timeout)")
+        return False
+    except Exception as e:
+        print(f"❌ FAILED: {name} ({e})")
+        return False
+
+
+def main():
+    print("PraisonAI Template Catalog - Example Runner")
+    print("=" * 50)
+    
+    # Check environment
+    api_key = os.environ.get("OPENAI_API_KEY") or os.environ.get("PRAISONAI_OPENAI_API_KEY")
+    if api_key:
+        print(f"API key: present (...{api_key[-4:]})")
+    else:
+        print("API key: not set")
+    
+    run_integration = os.environ.get("PRAISONAI_RUN_INTEGRATION") == "1"
+    print(f"Integration tests: {'enabled' if run_integration else 'disabled'}")
+    
+    # Define examples
+    examples = [
+        ("Fetch Templates (Python)", "fetch_templates.py", False),
+        ("Template Finder Agent", "template_finder_agent.py", True),
+    ]
+    
+    # Run examples
+    results = []
+    for name, script, requires_key in examples:
+        success = run_example(name, script, requires_key)
+        results.append((name, success))
+    
+    # Summary
+    print("\n" + "=" * 60)
+    print("SUMMARY")
+    print("=" * 60)
+    
+    passed = sum(1 for _, s in results if s)
+    failed = sum(1 for _, s in results if not s)
+    
+    for name, success in results:
+        status = "✅ PASS" if success else "❌ FAIL"
+        print(f"  {status}: {name}")
+    
+    print(f"\nTotal: {passed} passed, {failed} failed")
+    
+    # Exit with appropriate code
+    sys.exit(0 if failed == 0 else 1)
+
+
+if __name__ == "__main__":
+    main()

examples/catalog/template_finder_agent.py

@@ -0,0 +1,193 @@
+#!/usr/bin/env python3
+"""
+Example: Template Finder Agent
+
+An Agent()-centric example that uses an AI agent to find templates
+based on natural language queries.
+
+Requires: OPENAI_API_KEY environment variable
+"""
+
+import json
+import os
+import urllib.request
+
+CATALOG_URL = "https://mervinpraison.github.io/praisonai-template-catalog/data/templates.json"
+
+
+def fetch_templates() -> list:
+    """Fetch templates from catalog."""
+    try:
+        with urllib.request.urlopen(CATALOG_URL, timeout=10) as response:
+            data = json.loads(response.read().decode())
+            return data.get("templates", [])
+    except Exception:
+        return []
+
+
+def search_templates_tool(query: str) -> str:
+    """
+    Search templates by keyword.
+    
+    Args:
+        query: Search query (e.g., "video editing", "transcript", "data")
+    
+    Returns:
+        JSON string with matching templates
+    """
+    templates = fetch_templates()
+    query_lower = query.lower()
+    
+    results = []
+    for t in templates:
+        if (query_lower in t.get("name", "").lower() or
+            query_lower in t.get("description", "").lower() or
+            any(query_lower in tag.lower() for tag in t.get("tags", []))):
+            results.append({
+                "name": t.get("name"),
+                "description": t.get("description", "")[:100],
+                "tags": t.get("tags", []),
+                "cli_command": f"praisonai templates run {t.get('name')}"
+            })
+    
+    if not results:
+        return json.dumps({"message": "No templates found matching your query", "templates": []})
+    
+    return json.dumps({"count": len(results), "templates": results})
+
+
+def list_all_templates_tool() -> str:
+    """
+    List all available templates.
+    
+    Returns:
+        JSON string with all template names and descriptions
+    """
+    templates = fetch_templates()
+    
+    if not templates:
+        return json.dumps({"message": "No templates available", "templates": []})
+    
+    results = [
+        {"name": t.get("name"), "description": t.get("description", "")[:80]}
+        for t in templates
+    ]
+    
+    return json.dumps({"count": len(results), "templates": results})
+
+
+def get_template_details_tool(name: str) -> str:
+    """
+    Get detailed information about a specific template.
+    
+    Args:
+        name: Template name (e.g., "ai-video-editor")
+    
+    Returns:
+        JSON string with template details
+    """
+    templates = fetch_templates()
+    
+    for t in templates:
+        if t.get("name") == name:
+            return json.dumps({
+                "name": t.get("name"),
+                "version": t.get("version"),
+                "description": t.get("description"),
+                "author": t.get("author"),
+                "tags": t.get("tags", []),
+                "requires": t.get("requires", {}),
+                "cli_commands": {
+                    "run": f"praisonai templates run {name}",
+                    "info": f"praisonai templates info {name}",
+                    "init": f"praisonai templates init my-project --template {name}"
+                }
+            })
+    
+    return json.dumps({"error": f"Template '{name}' not found"})
+
+
+def check_api_key() -> bool:
+    """Check if API key is available."""
+    key = os.environ.get("OPENAI_API_KEY") or os.environ.get("PRAISONAI_OPENAI_API_KEY")
+    if key:
+        print(f"API key present: ...{key[-4:]}")
+        return True
+    return False
+
+
+def main():
+    print("PraisonAI Template Finder Agent")
+    print("=" * 40)
+    
+    # Check for API key
+    if not check_api_key():
+        print("\n⚠️  No API key found.")
+        print("Set OPENAI_API_KEY or PRAISONAI_OPENAI_API_KEY to use the agent.")
+        print("\nFalling back to direct tool usage:\n")
+        
+        # Demo the tools directly
+        print("1. Listing all templates:")
+        result = list_all_templates_tool()
+        data = json.loads(result)
+        for t in data.get("templates", [])[:5]:
+            print(f"   - {t['name']}: {t['description'][:50]}...")
+        
+        print("\n2. Searching for 'video' templates:")
+        result = search_templates_tool("video")
+        data = json.loads(result)
+        for t in data.get("templates", []):
+            print(f"   - {t['name']}")
+            print(f"     Run: {t['cli_command']}")
+        
+        return
+    
+    # Import Agent only if API key is available
+    try:
+        from praisonaiagents import Agent
+    except ImportError:
+        print("praisonaiagents not installed. Install with: pip install praisonaiagents")
+        return
+    
+    # Create the Template Finder Agent
+    agent = Agent(
+        name="Template Finder",
+        role="PraisonAI Template Expert",
+        goal="Help users find the right template for their needs",
+        backstory="""You are an expert on PraisonAI templates. You help users 
+        discover templates that match their requirements. You can search templates,
+        list all available templates, and provide detailed information about specific
+        templates. Always provide the CLI command to run the template.""",
+        tools=[
+            search_templates_tool,
+            list_all_templates_tool,
+            get_template_details_tool
+        ],
+        verbose=True
+    )
+    
+    # Example queries
+    queries = [
+        "Find me a template for editing videos",
+        "What templates are available for working with transcripts?",
+        "Show me details about the ai-video-editor template"
+    ]
+    
+    print("\nRunning Template Finder Agent...")
+    print("-" * 40)
+    
+    for query in queries:
+        print(f"\n📝 Query: {query}")
+        print("-" * 40)
+        
+        try:
+            result = agent.start(query)
+            print(f"\n🤖 Response:\n{result}")
+        except Exception as e:
+            print(f"Error: {e}")
+        
+        print("\n" + "=" * 40)
+
+
+if __name__ == "__main__":
+    main()

examples/doctor/README.md

@@ -0,0 +1,65 @@
+# PraisonAI Doctor Examples
+
+Examples demonstrating the PraisonAI Doctor health check and diagnostics system.
+
+## CLI Examples
+
+| Command | Description |
+|---------|-------------|
+| `praisonai doctor` | Run all fast health checks |
+| `praisonai doctor --version` | Show doctor version |
+| `praisonai doctor --list-checks` | List all available checks |
+| `praisonai doctor env` | Check environment configuration |
+| `praisonai doctor config` | Validate configuration files |
+| `praisonai doctor tools` | Check tool availability |
+| `praisonai doctor db` | Check database drivers |
+| `praisonai doctor mcp` | Check MCP configuration |
+| `praisonai doctor obs` | Check observability providers |
+| `praisonai doctor skills` | Check agent skills |
+| `praisonai doctor memory` | Check memory storage |
+| `praisonai doctor permissions` | Check filesystem permissions |
+| `praisonai doctor network` | Check network connectivity |
+| `praisonai doctor performance` | Check import times |
+| `praisonai doctor ci` | CI mode with JSON output |
+| `praisonai doctor selftest` | Test agent functionality |
+
+## Global Flags
+
+| Flag | Description |
+|------|-------------|
+| `--json` | Output in JSON format |
+| `--format text\|json` | Output format |
+| `--output PATH` | Write report to file |
+| `--deep` | Enable deeper probes |
+| `--timeout SEC` | Per-check timeout |
+| `--strict` | Treat warnings as failures |
+| `--quiet` | Minimal output |
+| `--no-color` | Disable colors |
+| `--only IDS` | Only run these checks |
+| `--skip IDS` | Skip these checks |
+
+## Python Examples
+
+| File | Description |
+|------|-------------|
+| [basic_doctor.py](basic_doctor.py) | Programmatic health checks |
+| [ci_integration.py](ci_integration.py) | CI/CD pipeline integration |
+
+## Quick Start
+
+```bash
+# Run basic health checks
+praisonai doctor
+
+# Run with JSON output
+praisonai doctor --json
+
+# Run specific checks
+praisonai doctor --only python_version,openai_api_key
+
+# CI mode
+praisonai doctor ci
+
+# Save report to file
+praisonai doctor --output report.json
+```

examples/doctor/basic_doctor.py

@@ -0,0 +1,168 @@
+#!/usr/bin/env python3
+"""
+Basic Doctor Example - Programmatic health checks for PraisonAI
+
+This example demonstrates how to use the Doctor module programmatically
+to run health checks and diagnostics.
+"""
+
+import json
+import sys
+
+# Add the praisonai path for development
+sys.path.insert(0, '/Users/praison/praisonai-package/src/praisonai')
+
+from praisonai.cli.features.doctor import DoctorEngine
+from praisonai.cli.features.doctor.models import DoctorConfig, CheckCategory
+from praisonai.cli.features.doctor.registry import get_registry
+from praisonai.cli.features.doctor.checks import register_all_checks
+from praisonai.cli.features.doctor.formatters import get_formatter
+
+
+def run_basic_checks():
+    """Run basic health checks."""
+    print("=" * 60)
+    print("Running Basic Health Checks")
+    print("=" * 60)
+    
+    # Register all checks
+    register_all_checks()
+    
+    # Create config for fast checks only
+    config = DoctorConfig(
+        deep=False,
+        timeout=10.0,
+        strict=False,
+        quiet=False,
+    )
+    
+    # Create and run engine
+    engine = DoctorEngine(config)
+    report = engine.run()
+    
+    # Format and print results
+    formatter = get_formatter("text", no_color=True)
+    print(formatter.format_report(report))
+    
+    return report.exit_code
+
+
+def run_environment_checks():
+    """Run only environment checks."""
+    print("\n" + "=" * 60)
+    print("Running Environment Checks Only")
+    print("=" * 60)
+    
+    # Register all checks
+    register_all_checks()
+    
+    config = DoctorConfig(deep=False)
+    engine = DoctorEngine(config)
+    
+    # Run only environment category
+    engine.run_checks(categories=[CheckCategory.ENVIRONMENT])
+    report = engine.generate_report()
+    
+    formatter = get_formatter("text", no_color=True)
+    print(formatter.format_report(report))
+    
+    return report.exit_code
+
+
+def run_specific_checks():
+    """Run specific checks by ID."""
+    print("\n" + "=" * 60)
+    print("Running Specific Checks")
+    print("=" * 60)
+    
+    # Register all checks
+    register_all_checks()
+    
+    # Only run these specific checks
+    config = DoctorConfig(
+        only=["python_version", "openai_api_key", "os_info"]
+    )
+    
+    engine = DoctorEngine(config)
+    report = engine.run()
+    
+    formatter = get_formatter("text", no_color=True)
+    print(formatter.format_report(report))
+    
+    return report.exit_code
+
+
+def run_json_output():
+    """Run checks and get JSON output."""
+    print("\n" + "=" * 60)
+    print("Running Checks with JSON Output")
+    print("=" * 60)
+    
+    # Register all checks
+    register_all_checks()
+    
+    config = DoctorConfig(
+        only=["python_version", "os_info"],
+        format="json"
+    )
+    
+    engine = DoctorEngine(config)
+    report = engine.run()
+    
+    # Get JSON output
+    formatter = get_formatter("json")
+    json_output = formatter.format_report(report)
+    
+    # Parse and pretty print
+    data = json.loads(json_output)
+    print(json.dumps(data, indent=2))
+    
+    return report.exit_code
+
+
+def list_available_checks():
+    """List all available checks."""
+    print("\n" + "=" * 60)
+    print("Available Checks")
+    print("=" * 60)
+    
+    # Register all checks
+    register_all_checks()
+    
+    registry = get_registry()
+    checks = registry.get_all_checks()
+    
+    # Sort by category
+    checks.sort(key=lambda c: c.category.value)
+    
+    current_category = None
+    for check in checks:
+        if check.category != current_category:
+            current_category = check.category
+            print(f"\n  {current_category.value.upper()}:")
+        
+        deep_marker = " [deep]" if check.requires_deep else ""
+        print(f"    {check.id:30} {check.description}{deep_marker}")
+
+
+if __name__ == "__main__":
+    print("PraisonAI Doctor - Programmatic Usage Examples\n")
+    
+    # List available checks
+    list_available_checks()
+    
+    # Run basic checks
+    exit_code = run_basic_checks()
+    print(f"\nBasic checks exit code: {exit_code}")
+    
+    # Run environment checks only
+    exit_code = run_environment_checks()
+    print(f"\nEnvironment checks exit code: {exit_code}")
+    
+    # Run specific checks
+    exit_code = run_specific_checks()
+    print(f"\nSpecific checks exit code: {exit_code}")
+    
+    # Run with JSON output
+    exit_code = run_json_output()
+    print(f"\nJSON output exit code: {exit_code}")

examples/doctor/ci_integration.py

@@ -0,0 +1,128 @@
+#!/usr/bin/env python3
+"""
+CI Integration Example - Using Doctor in CI/CD pipelines
+
+This example demonstrates how to integrate PraisonAI Doctor
+into CI/CD pipelines for automated health checks.
+"""
+
+import json
+import subprocess
+import sys
+
+
+def run_doctor_ci():
+    """Run doctor in CI mode and parse results."""
+    print("Running PraisonAI Doctor in CI mode...")
+    
+    result = subprocess.run(
+        [sys.executable, "-m", "praisonai", "doctor", "ci"],
+        capture_output=True,
+        text=True,
+        timeout=120
+    )
+    
+    # Parse JSON output
+    try:
+        report = json.loads(result.stdout)
+    except json.JSONDecodeError:
+        print("Error: Could not parse doctor output")
+        print(result.stdout)
+        print(result.stderr)
+        return 1
+    
+    # Print summary
+    summary = report.get("summary", {})
+    print("\nDoctor CI Results:")
+    print(f"  Total checks: {summary.get('total', 0)}")
+    print(f"  Passed: {summary.get('passed', 0)}")
+    print(f"  Warnings: {summary.get('warnings', 0)}")
+    print(f"  Failed: {summary.get('failed', 0)}")
+    print(f"  Skipped: {summary.get('skipped', 0)}")
+    print(f"  Errors: {summary.get('errors', 0)}")
+    print(f"\nExit code: {report.get('exit_code', -1)}")
+    
+    # Check for failures
+    if summary.get('failed', 0) > 0:
+        print("\nFailed checks:")
+        for check in report.get("results", []):
+            if check.get("status") == "fail":
+                print(f"  - {check.get('title')}: {check.get('message')}")
+                if check.get("remediation"):
+                    print(f"    Fix: {check.get('remediation')}")
+    
+    return result.returncode
+
+
+def run_specific_checks_ci():
+    """Run specific checks for CI."""
+    print("\nRunning specific checks for CI...")
+    
+    # Only run critical checks
+    critical_checks = [
+        "python_version",
+        "praisonai_package",
+        "openai_api_key",
+    ]
+    
+    result = subprocess.run(
+        [
+            sys.executable, "-m", "praisonai", "doctor",
+            "--json",
+            "--only", ",".join(critical_checks)
+        ],
+        capture_output=True,
+        text=True,
+        timeout=60
+    )
+    
+    try:
+        report = json.loads(result.stdout)
+        print(f"Critical checks: {report['summary']['passed']}/{report['summary']['total']} passed")
+        return result.returncode
+    except json.JSONDecodeError:
+        print("Error parsing output")
+        return 1
+
+
+def save_report_to_file():
+    """Save doctor report to a file for artifact upload."""
+    print("\nSaving doctor report to file...")
+    
+    result = subprocess.run(
+        [
+            sys.executable, "-m", "praisonai", "doctor",
+            "--json",
+            "--output", "/tmp/doctor-report.json"
+        ],
+        capture_output=True,
+        text=True,
+        timeout=120
+    )
+    
+    if result.returncode in [0, 1]:
+        print("Report saved to /tmp/doctor-report.json")
+        
+        # Read and display summary
+        with open("/tmp/doctor-report.json", "r") as f:
+            report = json.load(f)
+            print(f"Summary: {report['summary']}")
+    
+    return result.returncode
+
+
+if __name__ == "__main__":
+    print("PraisonAI Doctor - CI Integration Examples\n")
+    print("=" * 60)
+    
+    # Run CI mode
+    exit_code = run_doctor_ci()
+    
+    # Run specific checks
+    run_specific_checks_ci()
+    
+    # Save report
+    save_report_to_file()
+    
+    print(f"\nFinal exit code: {exit_code}")
+    sys.exit(exit_code)

examples/endpoints_example.py

@@ -0,0 +1,174 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Endpoints Example
+
+This example demonstrates how to:
+1. Start the recipe server
+2. Use the endpoints CLI to interact with it
+3. Invoke recipes via HTTP
+
+Prerequisites:
+- pip install praisonai[serve]
+- Set OPENAI_API_KEY environment variable
+
+Usage:
+    # Terminal 1: Start server
+    praisonai recipe serve --port 8765
+
+    # Terminal 2: Run this example
+    python endpoints_example.py
+"""
+
+import json
+import os
+import subprocess
+import sys
+import urllib.request
+import urllib.error
+
+# Configuration
+SERVER_URL = os.environ.get("PRAISONAI_ENDPOINTS_URL", "http://localhost:8765")
+
+
+def check_server_health():
+    """Check if the server is running."""
+    try:
+        req = urllib.request.Request(f"{SERVER_URL}/health")
+        with urllib.request.urlopen(req, timeout=5) as response:
+            data = json.loads(response.read().decode())
+            return data.get("status") == "healthy"
+    except Exception:
+        return False
+
+
+def list_endpoints():
+    """List available endpoints using CLI."""
+    print("\n=== Listing Endpoints (CLI) ===")
+    result = subprocess.run(
+        ["python", "-m", "praisonai.cli.main", "endpoints", "list", "--format", "json"],
+        capture_output=True,
+        text=True,
+    )
+    if result.returncode == 0:
+        recipes = json.loads(result.stdout)
+        print(f"Found {len(recipes)} endpoints:")
+        for r in recipes:
+            print(f"  - {r['name']} ({r['version']}): {r.get('description', '')[:50]}")
+        return recipes
+    else:
+        print(f"Error: {result.stderr}")
+        return []
+
+
+def describe_endpoint(name: str):
+    """Describe an endpoint using CLI."""
+    print(f"\n=== Describing Endpoint: {name} ===")
+    result = subprocess.run(
+        ["python", "-m", "praisonai.cli.main", "endpoints", "describe", name, "--url", SERVER_URL],
+        capture_output=True,
+        text=True,
+    )
+    if result.returncode == 0:
+        info = json.loads(result.stdout)
+        print(f"Name: {info.get('name')}")
+        print(f"Version: {info.get('version')}")
+        print(f"Description: {info.get('description')}")
+        return info
+    else:
+        print(f"Error: {result.stderr}")
+        return None
+
+
+def invoke_endpoint_cli(name: str, input_data: dict):
+    """Invoke an endpoint using CLI."""
+    print(f"\n=== Invoking Endpoint (CLI): {name} ===")
+    result = subprocess.run(
+        [
+            "python", "-m", "praisonai.cli.main", "endpoints", "invoke", name,
+            "--url", SERVER_URL,
+            "--input-json", json.dumps(input_data),
+            "--json",
+            "--dry-run",  # Use dry-run for example
+        ],
+        capture_output=True,
+        text=True,
+    )
+    if result.returncode == 0:
+        response = json.loads(result.stdout)
+        print(f"Run ID: {response.get('run_id')}")
+        print(f"Status: {response.get('status')}")
+        return response
+    else:
+        print(f"Error: {result.stderr}")
+        return None
+
+
+def invoke_endpoint_http(name: str, input_data: dict):
+    """Invoke an endpoint using HTTP directly."""
+    print(f"\n=== Invoking Endpoint (HTTP): {name} ===")
+    
+    body = json.dumps({
+        "recipe": name,
+        "input": input_data,
+        "options": {"dry_run": True},
+    }).encode()
+    
+    req = urllib.request.Request(
+        f"{SERVER_URL}/v1/recipes/run",
+        data=body,
+        headers={"Content-Type": "application/json"},
+        method="POST",
+    )
+    
+    try:
+        with urllib.request.urlopen(req, timeout=30) as response:
+            data = json.loads(response.read().decode())
+            print(f"Run ID: {data.get('run_id')}")
+            print(f"Status: {data.get('status')}")
+            print(f"Output: {data.get('output')}")
+            return data
+    except urllib.error.HTTPError as e:
+        print(f"HTTP Error: {e.code} - {e.read().decode()}")
+        return None
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Endpoints Example")
+    print("=" * 60)
+    
+    # Check if server is running
+    print("\n=== Checking Server Health ===")
+    if not check_server_health():
+        print(f"Server not running at {SERVER_URL}")
+        print("\nPlease start the server first:")
+        print("  praisonai recipe serve --port 8765")
+        sys.exit(1)
+    print("✓ Server is healthy")
+    
+    # List endpoints
+    recipes = list_endpoints()
+    if not recipes:
+        print("No recipes available")
+        sys.exit(1)
+    
+    # Use first available recipe
+    recipe_name = recipes[0]["name"]
+    
+    # Describe endpoint
+    describe_endpoint(recipe_name)
+    
+    # Invoke via CLI
+    invoke_endpoint_cli(recipe_name, {"query": "Hello from CLI"})
+    
+    # Invoke via HTTP
+    invoke_endpoint_http(recipe_name, {"query": "Hello from HTTP"})
+    
+    print("\n" + "=" * 60)
+    print("Example completed successfully!")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/performance/lazy_imports_example.py

@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+"""
+Example: Lazy Imports & Fast Startup
+
+Demonstrates how PraisonAI Agents uses lazy imports to achieve
+fast startup times and reduced memory usage.
+"""
+import sys
+import time
+
+
+def example_verify_lazy_imports():
+    """Verify that heavy dependencies are not loaded at import time."""
+    print("=" * 60)
+    print("Lazy Imports Verification")
+    print("=" * 60)
+    
+    # Clear any cached imports
+    heavy_deps = ['litellm', 'chromadb', 'mem0', 'requests']
+    for dep in heavy_deps:
+        for key in list(sys.modules.keys()):
+            if key.startswith(dep):
+                del sys.modules[key]
+    
+    # Measure import time
+    start = time.perf_counter()
+    import praisonaiagents
+    elapsed = (time.perf_counter() - start) * 1000
+    
+    print(f"\nImport time: {elapsed:.1f}ms")
+    print(f"Target: <200ms")
+    print(f"Status: {'PASS' if elapsed < 200 else 'FAIL'}")
+    
+    # Check lazy imports
+    print("\nLazy Import Check:")
+    all_lazy = True
+    for dep in heavy_deps:
+        is_lazy = dep not in sys.modules
+        status = "LAZY (good)" if is_lazy else "EAGER (bad)"
+        print(f"  {dep}: {status}")
+        if not is_lazy:
+            all_lazy = False
+    
+    print(f"\nAll lazy: {'PASS' if all_lazy else 'FAIL'}")
+    return all_lazy
+
+
+def example_measure_memory():
+    """Measure memory usage after import."""
+    print("\n" + "=" * 60)
+    print("Memory Usage Measurement")
+    print("=" * 60)
+    
+    import tracemalloc
+    
+    # Clear modules
+    for key in list(sys.modules.keys()):
+        if key.startswith('praisonaiagents'):
+            del sys.modules[key]
+    
+    tracemalloc.start()
+    import praisonaiagents
+    current, peak = tracemalloc.get_traced_memory()
+    tracemalloc.stop()
+    
+    current_mb = current / 1024 / 1024
+    peak_mb = peak / 1024 / 1024
+    
+    print(f"\nCurrent memory: {current_mb:.1f}MB")
+    print(f"Peak memory: {peak_mb:.1f}MB")
+    print(f"Target: <30MB")
+    print(f"Status: {'PASS' if current_mb < 30 else 'WARN' if current_mb < 45 else 'FAIL'}")
+    
+    return current_mb < 45
+
+
+def example_specific_imports():
+    """Show how to use specific imports for best performance."""
+    print("\n" + "=" * 60)
+    print("Specific Imports Example")
+    print("=" * 60)
+    
+    # Good - specific imports are fast
+    print("\nGood practice - specific imports:")
+    print("  from praisonaiagents import Agent, Task")
+    
+    # Avoid - star imports load everything
+    print("\nAvoid - star imports load more:")
+    print("  from praisonaiagents import *")
+    
+    # Example of specific import
+    from praisonaiagents import Agent
+    print(f"\nAgent class loaded: {Agent.__name__}")
+
+
+if __name__ == "__main__":
+    print("PraisonAI Agents - Lazy Imports Example")
+    print("=" * 60)
+    
+    # Run examples
+    lazy_ok = example_verify_lazy_imports()
+    memory_ok = example_measure_memory()
+    example_specific_imports()
+    
+    print("\n" + "=" * 60)
+    print("Summary")
+    print("=" * 60)
+    print(f"Lazy imports: {'PASS' if lazy_ok else 'FAIL'}")
+    print(f"Memory usage: {'PASS' if memory_ok else 'FAIL'}")
+    print(f"Overall: {'PASS' if lazy_ok and memory_ok else 'FAIL'}")

examples/performance/lite_agent_example.py

@@ -0,0 +1,149 @@
+#!/usr/bin/env python3
+"""
+Example: Lite Agent (BYO-LLM)
+
+Demonstrates the lightweight praisonaiagents.lite subpackage
+that allows you to bring your own LLM client.
+"""
+import os
+
+
+def example_custom_llm():
+    """Example using a custom LLM function."""
+    print("=" * 60)
+    print("Example 1: Custom LLM Function")
+    print("=" * 60)
+    
+    from praisonaiagents.lite import LiteAgent
+    
+    # Define a simple mock LLM
+    def mock_llm(messages):
+        """A mock LLM that echoes the last message."""
+        last_msg = messages[-1]["content"] if messages else "No message"
+        return f"Echo: {last_msg}"
+    
+    agent = LiteAgent(
+        name="EchoAgent",
+        llm_fn=mock_llm,
+        instructions="You are a simple echo agent."
+    )
+    
+    response = agent.chat("Hello, world!")
+    print(f"Response: {response}")
+    print(f"Chat history length: {len(agent.chat_history)}")
+
+
+def example_openai_adapter():
+    """Example using the built-in OpenAI adapter."""
+    print("\n" + "=" * 60)
+    print("Example 2: OpenAI Adapter")
+    print("=" * 60)
+    
+    if not os.environ.get("OPENAI_API_KEY"):
+        print("Skipping: OPENAI_API_KEY not set")
+        return
+    
+    from praisonaiagents.lite import LiteAgent, create_openai_llm_fn
+    
+    # Create LLM function using OpenAI SDK directly
+    llm_fn = create_openai_llm_fn(model="gpt-4o-mini")
+    
+    agent = LiteAgent(
+        name="OpenAIAgent",
+        llm_fn=llm_fn,
+        instructions="You are a helpful assistant. Keep responses brief."
+    )
+    
+    response = agent.chat("What is 2+2?")
+    print(f"Response: {response}")
+
+
+def example_with_tools():
+    """Example using tools with LiteAgent."""
+    print("\n" + "=" * 60)
+    print("Example 3: Tools with LiteAgent")
+    print("=" * 60)
+    
+    from praisonaiagents.lite import LiteAgent, tool
+    
+    @tool
+    def add_numbers(a: int, b: int) -> int:
+        """Add two numbers together."""
+        return a + b
+    
+    @tool
+    def multiply_numbers(a: int, b: int) -> int:
+        """Multiply two numbers together."""
+        return a * b
+    
+    def mock_llm(messages):
+        return "The calculation result is ready."
+    
+    agent = LiteAgent(
+        name="MathAgent",
+        llm_fn=mock_llm,
+        tools=[add_numbers, multiply_numbers]
+    )
+    
+    # Execute tools directly
+    result1 = agent.execute_tool("add_numbers", a=5, b=3)
+    print(f"5 + 3 = {result1.output}")
+    print(f"Success: {result1.success}")
+    
+    result2 = agent.execute_tool("multiply_numbers", a=4, b=7)
+    print(f"4 * 7 = {result2.output}")
+    print(f"Success: {result2.success}")
+
+
+def example_thread_safety():
+    """Example demonstrating thread-safe operations."""
+    print("\n" + "=" * 60)
+    print("Example 4: Thread Safety")
+    print("=" * 60)
+    
+    import threading
+    from praisonaiagents.lite import LiteAgent
+    
+    counter = [0]
+    lock = threading.Lock()
+    
+    def counting_llm(messages):
+        with lock:
+            counter[0] += 1
+            return f"Response {counter[0]}"
+    
+    agent = LiteAgent(
+        name="ThreadSafeAgent",
+        llm_fn=counting_llm
+    )
+    
+    def worker(thread_id):
+        for i in range(5):
+            agent.chat(f"Message from thread {thread_id}, iteration {i}")
+    
+    threads = [
+        threading.Thread(target=worker, args=(i,))
+        for i in range(3)
+    ]
+    
+    for t in threads:
+        t.start()
+    for t in threads:
+        t.join()
+    
+    print(f"Total messages processed: {counter[0]}")
+    print(f"Chat history length: {len(agent.chat_history)}")
+    print("Thread safety test: PASS")
+
+
+if __name__ == "__main__":
+    print("PraisonAI Agents - Lite Package Examples")
+    print("=" * 60)
+    
+    example_custom_llm()
+    example_openai_adapter()
+    example_with_tools()
+    example_thread_safety()
+    
+    print("\n" + "=" * 60)
+    print("All examples completed!")

examples/performance/run_all_examples.py

@@ -0,0 +1,96 @@
+#!/usr/bin/env python3
+"""
+Runner for all performance examples.
+
+Usage:
+    # Run without real API (mock only)
+    python run_all_examples.py
+    
+    # Run with real API
+    RUN_REAL_KEY_TESTS=1 OPENAI_API_KEY=your-key python run_all_examples.py
+"""
+import os
+import sys
+import subprocess
+
+
+def run_example(name, script_path):
+    """Run an example script and report results."""
+    print(f"\n{'=' * 60}")
+    print(f"Running: {name}")
+    print("=" * 60)
+    
+    result = subprocess.run(
+        [sys.executable, script_path],
+        capture_output=True,
+        text=True,
+        env=os.environ.copy()
+    )
+    
+    print(result.stdout)
+    if result.stderr:
+        print(f"STDERR: {result.stderr}")
+    
+    return result.returncode == 0
+
+
+def main():
+    """Run all performance examples."""
+    print("PraisonAI Agents - Performance Examples Runner")
+    print("=" * 60)
+    
+    # Check environment
+    real_tests = os.environ.get("RUN_REAL_KEY_TESTS")
+    has_openai = bool(os.environ.get("OPENAI_API_KEY"))
+    
+    print(f"RUN_REAL_KEY_TESTS: {real_tests or 'not set'}")
+    print(f"OPENAI_API_KEY: {'set' if has_openai else 'not set'}")
+    
+    # Get script directory
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    
+    # Define examples
+    examples = [
+        ("Lazy Imports", os.path.join(script_dir, "lazy_imports_example.py")),
+        ("Lite Agent", os.path.join(script_dir, "lite_agent_example.py")),
+        ("Thread Safety", os.path.join(script_dir, "thread_safety_example.py")),
+    ]
+    
+    # Run examples
+    results = []
+    for name, path in examples:
+        if os.path.exists(path):
+            success = run_example(name, path)
+            results.append((name, success))
+        else:
+            print(f"Skipping {name}: {path} not found")
+            results.append((name, None))
+    
+    # Summary
+    print("\n" + "=" * 60)
+    print("Summary")
+    print("=" * 60)
+    
+    passed = 0
+    failed = 0
+    skipped = 0
+    
+    for name, success in results:
+        if success is None:
+            status = "SKIPPED"
+            skipped += 1
+        elif success:
+            status = "PASS"
+            passed += 1
+        else:
+            status = "FAIL"
+            failed += 1
+        print(f"  {name}: {status}")
+    
+    print(f"\nTotal: {passed} passed, {failed} failed, {skipped} skipped")
+    
+    return 0 if failed == 0 else 1
+
+
+if __name__ == "__main__":
+    sys.exit(main())

examples/performance/thread_safety_example.py

@@ -0,0 +1,158 @@
+#!/usr/bin/env python3
+"""
+Example: Thread-Safe Agent State
+
+Demonstrates thread-safe chat history and cache management
+in PraisonAI Agents.
+"""
+import os
+import threading
+import time
+
+
+def example_lite_agent_thread_safety():
+    """Demonstrate thread safety with LiteAgent."""
+    print("=" * 60)
+    print("Example 1: LiteAgent Thread Safety")
+    print("=" * 60)
+    
+    from praisonaiagents.lite import LiteAgent
+    
+    # Counter for tracking responses
+    response_count = [0]
+    count_lock = threading.Lock()
+    
+    def counting_llm(messages):
+        with count_lock:
+            response_count[0] += 1
+            return f"Response #{response_count[0]}"
+    
+    agent = LiteAgent(
+        name="ThreadSafeAgent",
+        llm_fn=counting_llm
+    )
+    
+    errors = []
+    
+    def worker(thread_id):
+        try:
+            for i in range(10):
+                agent.chat(f"Thread {thread_id}, message {i}")
+        except Exception as e:
+            errors.append(e)
+    
+    # Create and start threads
+    threads = [
+        threading.Thread(target=worker, args=(i,))
+        for i in range(5)
+    ]
+    
+    start = time.perf_counter()
+    for t in threads:
+        t.start()
+    for t in threads:
+        t.join()
+    elapsed = time.perf_counter() - start
+    
+    print(f"Threads: 5")
+    print(f"Messages per thread: 10")
+    print(f"Total messages: {response_count[0]}")
+    print(f"Chat history length: {len(agent.chat_history)}")
+    print(f"Errors: {len(errors)}")
+    print(f"Time: {elapsed:.2f}s")
+    print(f"Status: {'PASS' if len(errors) == 0 else 'FAIL'}")
+
+
+def example_agent_locks():
+    """Verify Agent class has proper locks."""
+    print("\n" + "=" * 60)
+    print("Example 2: Agent Lock Verification")
+    print("=" * 60)
+    
+    from praisonaiagents import Agent
+    
+    agent = Agent(
+        name="LockTestAgent",
+        instructions="Test agent",
+        verbose=False
+    )
+    
+    # Check for locks
+    has_history_lock = hasattr(agent, '_history_lock')
+    has_cache_lock = hasattr(agent, '_cache_lock')
+    
+    print(f"Has _history_lock: {has_history_lock}")
+    print(f"Has _cache_lock: {has_cache_lock}")
+    
+    # Verify lock types
+    if has_history_lock:
+        lock_type = type(agent._history_lock).__name__
+        print(f"_history_lock type: {lock_type}")
+    
+    if has_cache_lock:
+        lock_type = type(agent._cache_lock).__name__
+        print(f"_cache_lock type: {lock_type}")
+    
+    print(f"Status: {'PASS' if has_history_lock and has_cache_lock else 'FAIL'}")
+
+
+def example_concurrent_real_api():
+    """Demonstrate concurrent API calls (requires API key)."""
+    print("\n" + "=" * 60)
+    print("Example 3: Concurrent Real API Calls")
+    print("=" * 60)
+    
+    if not os.environ.get("OPENAI_API_KEY"):
+        print("Skipping: OPENAI_API_KEY not set")
+        return
+    
+    from praisonaiagents import Agent
+    
+    agent = Agent(
+        name="ConcurrentAgent",
+        instructions="Reply with one word only.",
+        llm="gpt-4o-mini",
+        verbose=False
+    )
+    
+    results = []
+    results_lock = threading.Lock()
+    errors = []
+    
+    def worker(thread_id):
+        try:
+            response = agent.chat(f"Say hello {thread_id}")
+            with results_lock:
+                results.append((thread_id, response))
+        except Exception as e:
+            errors.append(e)
+    
+    threads = [
+        threading.Thread(target=worker, args=(i,))
+        for i in range(3)
+    ]
+    
+    start = time.perf_counter()
+    for t in threads:
+        t.start()
+    for t in threads:
+        t.join()
+    elapsed = time.perf_counter() - start
+    
+    print(f"Concurrent requests: 3")
+    print(f"Successful responses: {len(results)}")
+    print(f"Errors: {len(errors)}")
+    print(f"Time: {elapsed:.2f}s")
+    print(f"Status: {'PASS' if len(errors) == 0 else 'FAIL'}")
+
+
+if __name__ == "__main__":
+    print("PraisonAI Agents - Thread Safety Examples")
+    print("=" * 60)
+    
+    example_lite_agent_thread_safety()
+    example_agent_locks()
+    example_concurrent_real_api()
+    
+    print("\n" + "=" * 60)
+    print("All examples completed!")

examples/policy/README.md

@@ -0,0 +1,80 @@
+# Policy Packs Example
+
+This example demonstrates how to use PraisonAI policy packs for managing tool permissions, data policies, and execution modes.
+
+## Features Demonstrated
+
+- Creating and loading policy packs
+- Tool permission checking (allow/deny)
+- Policy modes (dev/prod)
+- Merging policies
+- Data and PII policies
+
+## Quick Start
+
+```bash
+python policy_example.py
+```
+
+## CLI Commands
+
+```bash
+# Show default policy
+praisonai recipe policy show
+
+# Show policy from file
+praisonai recipe policy show my-policy.yaml
+
+# Create policy template
+praisonai recipe policy init -o my-policy.yaml
+
+# Validate policy file
+praisonai recipe policy validate my-policy.yaml
+```
+
+## Policy File Format
+
+```yaml
+name: my-org-policy
+version: "1.0"
+
+tools:
+  allow:
+    - web.search
+    - db.query
+  deny:
+    - shell.exec
+    - file.write
+
+network:
+  allow_domains:
+    - api.openai.com
+  deny_domains:
+    - localhost
+
+pii:
+  mode: redact  # allow, deny, redact
+  fields:
+    - email
+    - phone
+
+data:
+  retention_days: 30
+  export_allowed: true
+
+modes:
+  dev:
+    allow_interactive_prompts: true
+    strict_tool_enforcement: false
+  prod:
+    allow_interactive_prompts: false
+    strict_tool_enforcement: true
+    require_auth: true
+```
+
+## Using Policy with Recipe Run
+
+```bash
+# Run with policy file
+praisonai recipe run my-recipe --policy my-policy.yaml --mode prod
+```

examples/policy/policy_example.py

@@ -0,0 +1,215 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Policy Packs Example
+
+This example demonstrates:
+1. Creating and loading policy packs
+2. Tool permission checking
+3. Policy modes (dev/prod)
+4. Merging policies
+
+Prerequisites:
+- pip install praisonai
+
+Usage:
+    python policy_example.py
+"""
+
+import tempfile
+from pathlib import Path
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Policy Packs Example")
+    print("=" * 60)
+    
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        tmp_path = Path(tmp_dir)
+        
+        # =====================================================
+        # Default Policies
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Default Policies")
+        print("=" * 40)
+        
+        from praisonai.recipe.policy import get_default_policy, PolicyPack, PolicyDeniedError
+        
+        print("\n1. Loading default dev policy...")
+        dev_policy = get_default_policy("dev")
+        print(f"   Name: {dev_policy.name}")
+        print(f"   Allowed tools: {len(dev_policy.allowed_tools)}")
+        print(f"   Denied tools: {len(dev_policy.denied_tools)}")
+        print(f"   PII mode: {dev_policy.pii_mode}")
+        
+        print("\n2. Loading default prod policy...")
+        prod_policy = get_default_policy("prod")
+        print(f"   Name: {prod_policy.name}")
+        print(f"   PII mode: {prod_policy.pii_mode}")
+        
+        # =====================================================
+        # Tool Permission Checking
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Tool Permission Checking")
+        print("=" * 40)
+        
+        print("\n3. Checking tool permissions...")
+        
+        # Check allowed tool
+        try:
+            dev_policy.check_tool("web.search")
+            print("   web.search: ✓ Allowed")
+        except PolicyDeniedError as e:
+            print(f"   web.search: ✗ Denied - {e}")
+        
+        # Check denied tool
+        try:
+            dev_policy.check_tool("shell.exec")
+            print("   shell.exec: ✓ Allowed")
+        except PolicyDeniedError:
+            print("   shell.exec: ✗ Denied")
+        
+        # Check another denied tool
+        try:
+            dev_policy.check_tool("file.write")
+            print("   file.write: ✓ Allowed")
+        except PolicyDeniedError:
+            print("   file.write: ✗ Denied")
+        
+        # =====================================================
+        # Custom Policy Pack
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Custom Policy Pack")
+        print("=" * 40)
+        
+        print("\n4. Creating custom policy pack...")
+        custom_policy = PolicyPack(
+            name="my-org-policy",
+            config={
+                "tools": {
+                    "allow": ["web.search", "db.query", "file.read"],
+                    "deny": ["shell.exec", "network.unrestricted"],
+                },
+                "network": {
+                    "allow_domains": ["api.openai.com", "api.anthropic.com"],
+                    "deny_domains": ["localhost", "127.0.0.1"],
+                },
+                "pii": {
+                    "mode": "redact",
+                    "fields": ["email", "phone", "ssn"],
+                },
+                "data": {
+                    "retention_days": 30,
+                    "export_allowed": True,
+                },
+                "modes": {
+                    "dev": {
+                        "allow_interactive_prompts": True,
+                        "strict_tool_enforcement": False,
+                    },
+                    "prod": {
+                        "allow_interactive_prompts": False,
+                        "strict_tool_enforcement": True,
+                        "require_auth": True,
+                    },
+                },
+            },
+        )
+        
+        print(f"   Name: {custom_policy.name}")
+        print(f"   Allowed tools: {list(custom_policy.allowed_tools)}")
+        print(f"   PII mode: {custom_policy.pii_mode}")
+        print(f"   Retention days: {custom_policy.retention_days}")
+        
+        # =====================================================
+        # Saving and Loading Policies
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Saving and Loading Policies")
+        print("=" * 40)
+        
+        print("\n5. Saving policy to file...")
+        policy_file = tmp_path / "my-policy.yaml"
+        custom_policy.save(policy_file)
+        print(f"   Saved to: {policy_file}")
+        
+        print("\n6. Loading policy from file...")
+        loaded_policy = PolicyPack.load(policy_file)
+        print(f"   Loaded: {loaded_policy.name}")
+        print(f"   PII mode: {loaded_policy.pii_mode}")
+        
+        # =====================================================
+        # Merging Policies
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Merging Policies")
+        print("=" * 40)
+        
+        print("\n7. Creating base and override policies...")
+        base_policy = PolicyPack(
+            name="base",
+            config={
+                "tools": {"allow": ["web.search"]},
+                "pii": {"mode": "allow"},
+            },
+        )
+        
+        override_policy = PolicyPack(
+            name="override",
+            config={
+                "tools": {"allow": ["db.query"]},
+                "pii": {"mode": "redact", "fields": ["email"]},
+            },
+        )
+        
+        print("\n8. Merging policies...")
+        merged = base_policy.merge(override_policy)
+        print(f"   Merged name: {merged.name}")
+        print(f"   Allowed tools: {list(merged.allowed_tools)}")
+        print(f"   PII mode: {merged.pii_mode}")
+        
+        # =====================================================
+        # Mode-Specific Configuration
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Mode-Specific Configuration")
+        print("=" * 40)
+        
+        print("\n9. Getting mode-specific config...")
+        dev_config = custom_policy.get_mode_config("dev")
+        prod_config = custom_policy.get_mode_config("prod")
+        
+        print("   Dev mode:")
+        print(f"     - Interactive prompts: {dev_config.get('allow_interactive_prompts')}")
+        print(f"     - Strict enforcement: {dev_config.get('strict_tool_enforcement')}")
+        
+        print("   Prod mode:")
+        print(f"     - Interactive prompts: {prod_config.get('allow_interactive_prompts')}")
+        print(f"     - Strict enforcement: {prod_config.get('strict_tool_enforcement')}")
+        print(f"     - Require auth: {prod_config.get('require_auth')}")
+        
+        # =====================================================
+        # Data Policy
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Data Policy")
+        print("=" * 40)
+        
+        print("\n10. Getting data policy...")
+        data_policy = custom_policy.get_data_policy()
+        print(f"   PII mode: {data_policy['pii']['mode']}")
+        print(f"   PII fields: {data_policy['pii']['fields']}")
+        print(f"   Retention days: {data_policy['retention_days']}")
+        print(f"   Export allowed: {data_policy['export_allowed']}")
+        
+        print("\n" + "=" * 60)
+        print("Example completed successfully!")
+        print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/recipes/example_llm_recipes.py

@@ -0,0 +1,143 @@
+#!/usr/bin/env python3
+"""
+Example: LLM-based Recipes
+
+Demonstrates usage of LLM-powered recipes:
+- ai-blog-generator
+- ai-social-media-generator
+- ai-faq-generator
+- ai-sentiment-analyzer
+"""
+
+import os
+import sys
+
+# Ensure API key is set
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Please set OPENAI_API_KEY environment variable")
+    sys.exit(1)
+
+# Add recipe tools to path
+sys.path.insert(0, "/Users/praison/PraisonAI-tools/praisonai_tools/recipe_tools")
+
+from llm_tool import LLMTool, llm_complete
+
+
+def example_blog_generator():
+    """Generate a blog post."""
+    print("\n=== AI Blog Generator ===")
+    
+    llm = LLMTool(provider="openai", model="gpt-4o-mini")
+    
+    topic = "The Future of AI in Healthcare"
+    
+    response = llm.complete(
+        f"""Write a short blog post (3 paragraphs) about: {topic}
+        
+Include:
+- Engaging introduction
+- Key points
+- Call to action
+
+Format as markdown.""",
+        system="You are an expert blog writer specializing in technology topics.",
+        max_tokens=500,
+    )
+    
+    print(f"Topic: {topic}")
+    print(f"\nGenerated Blog Post:\n{response.content}")
+    print(f"\nTokens used: {response.usage.get('total_tokens', 'N/A')}")
+
+
+def example_social_media_generator():
+    """Generate social media posts."""
+    print("\n=== AI Social Media Generator ===")
+    
+    llm = LLMTool(provider="openai", model="gpt-4o-mini")
+    
+    content = "We just launched our new AI-powered productivity app!"
+    
+    response = llm.complete(
+        f"""Create social media posts for the following announcement:
+{content}
+
+Generate posts for:
+1. Twitter (280 chars max)
+2. LinkedIn (professional tone)
+3. Instagram (with emoji suggestions)
+
+Format each clearly.""",
+        system="You are a social media marketing expert.",
+        max_tokens=400,
+    )
+    
+    print(f"Content: {content}")
+    print(f"\nGenerated Posts:\n{response.content}")
+
+
+def example_faq_generator():
+    """Generate FAQ from content."""
+    print("\n=== AI FAQ Generator ===")
+    
+    llm = LLMTool(provider="openai", model="gpt-4o-mini")
+    
+    documentation = """
+    Our product is a cloud-based project management tool.
+    It supports team collaboration, task tracking, and reporting.
+    Pricing starts at $10/month per user.
+    We offer a 14-day free trial.
+    Integration with Slack, GitHub, and Jira is available.
+    """
+    
+    response = llm.complete(
+        f"""Based on this documentation, generate 5 FAQ questions and answers:
+
+{documentation}
+
+Format as:
+Q: [question]
+A: [answer]
+""",
+        system="You are a technical writer creating FAQ documentation.",
+        max_tokens=400,
+    )
+    
+    print(f"Generated FAQ:\n{response.content}")
+
+
+def example_sentiment_analyzer():
+    """Analyze sentiment in text."""
+    print("\n=== AI Sentiment Analyzer ===")
+    
+    llm = LLMTool(provider="openai", model="gpt-4o-mini")
+    
+    reviews = [
+        "This product is amazing! Best purchase ever.",
+        "Terrible experience. Would not recommend.",
+        "It's okay, nothing special but does the job.",
+    ]
+    
+    for review in reviews:
+        response = llm.complete(
+            f"""Analyze the sentiment of this text and respond with ONLY one word: POSITIVE, NEGATIVE, or NEUTRAL
+
+Text: {review}""",
+            max_tokens=10,
+        )
+        print(f"Review: {review[:50]}...")
+        print(f"Sentiment: {response.content.strip()}\n")
+
+
+if __name__ == "__main__":
+    print("=" * 60)
+    print("LLM-Based Recipes Examples")
+    print("=" * 60)
+    
+    example_blog_generator()
+    example_social_media_generator()
+    example_faq_generator()
+    example_sentiment_analyzer()
+    
+    print("\n" + "=" * 60)
+    print("All examples completed!")
+    print("=" * 60)

examples/recipes/run_all_recipes.py

@@ -0,0 +1,207 @@
+#!/usr/bin/env python3
+"""
+Run All Recipes - Test harness for all Agent-Recipes.
+
+Runs each recipe in dry-run mode to verify CLI parity and run.json generation.
+Requires: OPENAI_API_KEY environment variable for integration tests.
+"""
+
+import json
+import os
+import subprocess
+import sys
+from dataclasses import dataclass
+from typing import List
+
+# Recipe definitions
+RECIPES = [
+    "ai-audio-normalizer",
+    "ai-audio-splitter",
+    "ai-changelog-generator",
+    "ai-code-documenter",
+    "ai-csv-cleaner",
+    "ai-data-profiler",
+    "ai-dependency-auditor",
+    "ai-doc-translator",
+    "ai-folder-packager",
+    "ai-image-cataloger",
+    "ai-image-optimizer",
+    "ai-image-resizer",
+    "ai-json-to-csv",
+    "ai-markdown-to-pdf",
+    "ai-pdf-summarizer",
+    "ai-pdf-to-markdown",
+    "ai-podcast-cleaner",
+    "ai-repo-readme",
+    "ai-schema-generator",
+    "ai-screenshot-ocr",
+    "ai-sitemap-scraper",
+    "ai-slide-to-notes",
+    "ai-url-to-markdown",
+    "ai-video-editor",
+    "ai-video-thumbnails",
+    "ai-video-to-gif",
+]
+
+
+@dataclass
+class TestResult:
+    """Result of a recipe test."""
+    recipe: str
+    status: str  # pass, fail, skip
+    reason: str = ""
+    duration: float = 0.0
+
+
+def check_api_keys() -> dict:
+    """Check available API keys."""
+    keys = {
+        "OPENAI_API_KEY": bool(os.environ.get("OPENAI_API_KEY")),
+        "ANTHROPIC_API_KEY": bool(os.environ.get("ANTHROPIC_API_KEY")),
+        "GOOGLE_API_KEY": bool(os.environ.get("GOOGLE_API_KEY")),
+    }
+    return keys
+
+
+def check_external_deps() -> dict:
+    """Check external dependencies."""
+    import shutil
+    deps = {
+        "ffmpeg": shutil.which("ffmpeg") is not None,
+        "ffprobe": shutil.which("ffprobe") is not None,
+        "pdftotext": shutil.which("pdftotext") is not None,
+        "pandoc": shutil.which("pandoc") is not None,
+        "git": shutil.which("git") is not None,
+    }
+    return deps
+
+
+def run_recipe_dry_run(recipe: str, timeout: int = 30) -> TestResult:
+    """Run a recipe in dry-run mode."""
+    import time
+    start = time.time()
+    
+    try:
+        # Use praison templates run command with dry-run
+        cmd = ["praison", "templates", "run", recipe, "--dry-run", "dummy_input"]
+        result = subprocess.run(
+            cmd,
+            capture_output=True,
+            text=True,
+            timeout=timeout,
+        )
+        
+        duration = time.time() - start
+        
+        if result.returncode == 0:
+            return TestResult(recipe, "pass", "dry-run completed", duration)
+        else:
+            # Check if it's a missing dependency error
+            stderr = result.stderr.lower()
+            if "not found" in stderr or "missing" in stderr:
+                return TestResult(recipe, "skip", f"Missing dependency: {result.stderr[:100]}", duration)
+            return TestResult(recipe, "fail", f"Exit code {result.returncode}: {result.stderr[:100]}", duration)
+            
+    except subprocess.TimeoutExpired:
+        return TestResult(recipe, "fail", "Timeout", timeout)
+    except FileNotFoundError:
+        return TestResult(recipe, "skip", "praison CLI not found", 0)
+    except Exception as e:
+        return TestResult(recipe, "fail", str(e), 0)
+
+
+def run_all_recipes(dry_run_only: bool = True) -> List[TestResult]:
+    """Run all recipes and collect results."""
+    results = []
+    
+    print("=" * 60)
+    print("RECIPE TEST HARNESS")
+    print("=" * 60)
+    
+    # Check prerequisites
+    keys = check_api_keys()
+    deps = check_external_deps()
+    
+    print("\nAPI Keys:")
+    for key, present in keys.items():
+        status = "✓" if present else "✗"
+        print(f"  {status} {key}")
+    
+    print("\nExternal Dependencies:")
+    for dep, present in deps.items():
+        status = "✓" if present else "✗"
+        print(f"  {status} {dep}")
+    
+    print("\n" + "=" * 60)
+    print(f"Running {len(RECIPES)} recipes (dry-run={dry_run_only})")
+    print("=" * 60 + "\n")
+    
+    for i, recipe in enumerate(RECIPES, 1):
+        print(f"[{i:2d}/{len(RECIPES)}] {recipe}...", end=" ", flush=True)
+        
+        if dry_run_only:
+            result = run_recipe_dry_run(recipe)
+        else:
+            # Full run would go here
+            result = run_recipe_dry_run(recipe)
+        
+        results.append(result)
+        
+        if result.status == "pass":
+            print(f"✓ ({result.duration:.1f}s)")
+        elif result.status == "skip":
+            print(f"⊘ SKIP: {result.reason}")
+        else:
+            print(f"✗ FAIL: {result.reason}")
+    
+    return results
+
+
+def print_summary(results: List[TestResult]):
+    """Print test summary."""
+    passed = sum(1 for r in results if r.status == "pass")
+    failed = sum(1 for r in results if r.status == "fail")
+    skipped = sum(1 for r in results if r.status == "skip")
+    
+    print("\n" + "=" * 60)
+    print("SUMMARY")
+    print("=" * 60)
+    print(f"  Passed:  {passed}")
+    print(f"  Failed:  {failed}")
+    print(f"  Skipped: {skipped}")
+    print(f"  Total:   {len(results)}")
+    
+    if failed > 0:
+        print("\nFailed recipes:")
+        for r in results:
+            if r.status == "fail":
+                print(f"  - {r.recipe}: {r.reason}")
+    
+    return failed == 0
+
+
+def main():
+    """Main entry point."""
+    import argparse
+    
+    parser = argparse.ArgumentParser(description="Run all Agent-Recipes tests")
+    parser.add_argument("--full", action="store_true", help="Run full tests (not just dry-run)")
+    parser.add_argument("--recipe", help="Run specific recipe only")
+    parser.add_argument("--json", action="store_true", help="Output JSON results")
+    args = parser.parse_args()
+    
+    if args.recipe:
+        results = [run_recipe_dry_run(args.recipe)]
+    else:
+        results = run_all_recipes(dry_run_only=not args.full)
+    
+    if args.json:
+        output = [{"recipe": r.recipe, "status": r.status, "reason": r.reason} for r in results]
+        print(json.dumps(output, indent=2))
+    else:
+        success = print_summary(results)
+        sys.exit(0 if success else 1)
+
+
+if __name__ == "__main__":
+    main()

examples/registry/README.md

@@ -0,0 +1,48 @@
+# Recipe Registry Example
+
+This example demonstrates how to use the PraisonAI recipe registry for publishing and pulling recipes.
+
+## Features Demonstrated
+
+- Creating a local registry
+- Packing recipes into bundles
+- Publishing recipes to the registry
+- Listing and searching recipes
+- Pulling recipes from the registry
+
+## Quick Start
+
+```bash
+# Run the example
+python registry_example.py
+```
+
+## CLI Commands
+
+```bash
+# Publish a recipe
+praisonai recipe publish ./my-recipe --json
+
+# Pull a recipe
+praisonai recipe pull [email protected] -o ./recipes
+
+# List recipes in registry
+praisonai recipe list --json
+
+# Search recipes
+praisonai recipe search "hello"
+```
+
+## Using a Custom Registry Path
+
+```bash
+# Publish to custom registry
+praisonai recipe publish ./my-recipe --registry /path/to/registry
+
+# Pull from custom registry
+praisonai recipe pull [email protected] --registry /path/to/registry
+```
+
+## Default Registry Location
+
+By default, the registry is stored at `~/.praison/registry`.

examples/registry/registry_example.py

@@ -0,0 +1,173 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Recipe Registry Example
+
+This example demonstrates how to:
+1. Create and publish recipes to a local registry
+2. Search and list recipes
+3. Pull recipes from the registry
+
+Prerequisites:
+- pip install praisonai
+
+Usage:
+    python registry_example.py
+"""
+
+import json
+import tarfile
+import tempfile
+from pathlib import Path
+
+
+def create_sample_recipe(tmp_dir: Path) -> Path:
+    """Create a sample recipe for demonstration."""
+    recipe_dir = tmp_dir / "hello-world"
+    recipe_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Create TEMPLATE.yaml
+    template_content = """
+name: hello-world
+version: "1.0.0"
+description: A simple hello world recipe
+author: example
+tags:
+  - demo
+  - hello
+  - example
+
+requires:
+  env:
+    - OPENAI_API_KEY
+
+config:
+  input:
+    name:
+      type: string
+      required: true
+      description: Name to greet
+"""
+    
+    with open(recipe_dir / "TEMPLATE.yaml", "w") as f:
+        f.write(template_content.strip())
+    
+    # Create main.py
+    main_content = """
+def greet(name: str) -> str:
+    return f"Hello, {name}!"
+
+if __name__ == "__main__":
+    print(greet("World"))
+"""
+    
+    with open(recipe_dir / "main.py", "w") as f:
+        f.write(main_content.strip())
+    
+    return recipe_dir
+
+
+def pack_recipe(recipe_dir: Path, output_path: Path) -> Path:
+    """Pack a recipe into a .praison bundle."""
+    import hashlib
+    import io
+    from datetime import datetime, timezone
+    
+    with tarfile.open(output_path, "w:gz") as tar:
+        manifest = {
+            "name": "hello-world",
+            "version": "1.0.0",
+            "description": "A simple hello world recipe",
+            "tags": ["demo", "hello", "example"],
+            "created_at": datetime.now(timezone.utc).isoformat(),
+            "files": [],
+        }
+        
+        for file_path in recipe_dir.rglob("*"):
+            if file_path.is_file() and not file_path.name.startswith("."):
+                rel_path = file_path.relative_to(recipe_dir)
+                tar.add(file_path, arcname=str(rel_path))
+                
+                with open(file_path, "rb") as f:
+                    checksum = hashlib.sha256(f.read()).hexdigest()
+                manifest["files"].append({
+                    "path": str(rel_path),
+                    "checksum": checksum,
+                })
+        
+        manifest_bytes = json.dumps(manifest, indent=2).encode()
+        manifest_info = tarfile.TarInfo(name="manifest.json")
+        manifest_info.size = len(manifest_bytes)
+        tar.addfile(manifest_info, io.BytesIO(manifest_bytes))
+    
+    return output_path
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Recipe Registry Example")
+    print("=" * 60)
+    
+    # Use a temporary directory for the example
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        tmp_path = Path(tmp_dir)
+        
+        # Create registry in temp directory
+        registry_path = tmp_path / "registry"
+        
+        print("\n1. Creating local registry...")
+        from praisonai.recipe.registry import LocalRegistry
+        registry = LocalRegistry(registry_path)
+        print(f"   Registry created at: {registry_path}")
+        
+        # Create and pack a sample recipe
+        print("\n2. Creating sample recipe...")
+        recipe_dir = create_sample_recipe(tmp_path)
+        print(f"   Recipe created at: {recipe_dir}")
+        
+        print("\n3. Packing recipe into bundle...")
+        bundle_path = tmp_path / "hello-world-1.0.0.praison"
+        pack_recipe(recipe_dir, bundle_path)
+        print(f"   Bundle created: {bundle_path}")
+        
+        # Publish to registry
+        print("\n4. Publishing to registry...")
+        result = registry.publish(bundle_path)
+        print(f"   Published: {result['name']}@{result['version']}")
+        print(f"   Checksum: {result['checksum'][:16]}...")
+        
+        # List recipes
+        print("\n5. Listing recipes in registry...")
+        recipes = registry.list_recipes()
+        for r in recipes:
+            print(f"   - {r['name']} ({r['version']}): {r['description']}")
+        
+        # Search recipes
+        print("\n6. Searching for 'hello'...")
+        results = registry.search("hello")
+        print(f"   Found {len(results)} recipe(s)")
+        
+        # Get versions
+        print("\n7. Getting versions of 'hello-world'...")
+        versions = registry.get_versions("hello-world")
+        print(f"   Versions: {versions}")
+        
+        # Pull recipe
+        print("\n8. Pulling recipe from registry...")
+        output_dir = tmp_path / "pulled"
+        pull_result = registry.pull("hello-world", output_dir=output_dir)
+        print(f"   Pulled to: {pull_result['path']}")
+        
+        # Verify pulled files
+        print("\n9. Verifying pulled files...")
+        pulled_recipe = output_dir / "hello-world"
+        for f in pulled_recipe.iterdir():
+            print(f"   - {f.name}")
+        
+        print("\n" + "=" * 60)
+        print("Example completed successfully!")
+        print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/run_history/README.md

@@ -0,0 +1,43 @@
+# Run History Example
+
+This example demonstrates how to use PraisonAI run history for storing, querying, and exporting recipe runs.
+
+## Features Demonstrated
+
+- Storing run results with input/output data
+- Listing and filtering runs
+- Querying run details
+- Exporting runs for replay/debugging
+- Storage statistics and cleanup
+
+## Quick Start
+
+```bash
+python run_history_example.py
+```
+
+## CLI Commands
+
+```bash
+# List recent runs
+praisonai recipe runs list
+
+# List runs for a specific recipe
+praisonai recipe runs list --recipe support-reply
+
+# Get storage stats
+praisonai recipe runs stats
+
+# Export a run
+praisonai recipe export run-abc123 -o export.json
+
+# Replay a run
+praisonai recipe replay export.json --compare
+
+# Cleanup old runs
+praisonai recipe runs cleanup
+```
+
+## Default Storage Location
+
+Run history is stored at `~/.praison/runs`.

examples/run_history/run_history_example.py

@@ -0,0 +1,149 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Run History Example
+
+This example demonstrates how to:
+1. Store recipe run results in history
+2. List and query run history
+3. Export runs for replay/debugging
+
+Prerequisites:
+- pip install praisonai
+
+Usage:
+    python run_history_example.py
+"""
+
+import tempfile
+from pathlib import Path
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Run History Example")
+    print("=" * 60)
+    
+    # Use a temporary directory for the example
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        tmp_path = Path(tmp_dir)
+        
+        # Create history storage in temp directory
+        history_path = tmp_path / "runs"
+        
+        print("\n1. Creating run history storage...")
+        from praisonai.recipe.history import RunHistory
+        from praisonai.recipe.models import RecipeResult, RecipeStatus
+        
+        history = RunHistory(history_path)
+        print(f"   Storage created at: {history_path}")
+        
+        # Create sample run results
+        print("\n2. Storing sample run results...")
+        
+        # Run 1: Successful run
+        result1 = RecipeResult(
+            run_id="run-abc123",
+            recipe="support-reply",
+            version="1.0.0",
+            status=RecipeStatus.SUCCESS,
+            output={"reply": "Thank you for contacting us..."},
+            metrics={"duration_sec": 2.5, "tokens": 150},
+            trace={"session_id": "session-001", "trace_id": "trace-xyz"},
+        )
+        
+        history.store(
+            result=result1,
+            input_data={"ticket_id": "T-123", "message": "I need help"},
+        )
+        print(f"   Stored: {result1.run_id} (success)")
+        
+        # Run 2: Failed run
+        result2 = RecipeResult(
+            run_id="run-def456",
+            recipe="code-review",
+            version="2.0.0",
+            status=RecipeStatus.FAILED,
+            error="Timeout exceeded",
+            metrics={"duration_sec": 30.0},
+            trace={"session_id": "session-002"},
+        )
+        
+        history.store(
+            result=result2,
+            input_data={"code": "def hello(): pass"},
+        )
+        print(f"   Stored: {result2.run_id} (failed)")
+        
+        # Run 3: Another successful run
+        result3 = RecipeResult(
+            run_id="run-ghi789",
+            recipe="support-reply",
+            version="1.0.0",
+            status=RecipeStatus.SUCCESS,
+            output={"reply": "Your issue has been resolved..."},
+            metrics={"duration_sec": 1.8},
+            trace={"session_id": "session-001"},
+        )
+        
+        history.store(
+            result=result3,
+            input_data={"ticket_id": "T-456"},
+        )
+        print(f"   Stored: {result3.run_id} (success)")
+        
+        # List all runs
+        print("\n3. Listing all runs...")
+        runs = history.list_runs()
+        for run in runs:
+            status_icon = "✓" if run["status"] == "success" else "✗"
+            print(f"   {status_icon} {run['run_id']} - {run['recipe']} ({run['status']})")
+        
+        # Filter by recipe
+        print("\n4. Filtering runs by recipe 'support-reply'...")
+        filtered = history.list_runs(recipe="support-reply")
+        print(f"   Found {len(filtered)} run(s)")
+        
+        # Filter by session
+        print("\n5. Filtering runs by session 'session-001'...")
+        filtered = history.list_runs(session_id="session-001")
+        print(f"   Found {len(filtered)} run(s)")
+        
+        # Get specific run details
+        print("\n6. Getting details for run-abc123...")
+        run_data = history.get("run-abc123")
+        print(f"   Recipe: {run_data['recipe']}")
+        print(f"   Status: {run_data['status']}")
+        print(f"   Input: {run_data.get('input', {})}")
+        print(f"   Output: {run_data.get('output', {})}")
+        
+        # Export a run
+        print("\n7. Exporting run-abc123...")
+        export_path = history.export("run-abc123", tmp_path / "export.json")
+        print(f"   Exported to: {export_path}")
+        
+        # Show export contents
+        import json
+        with open(export_path) as f:
+            export_data = json.load(f)
+        print(f"   Format: {export_data['format']}")
+        print(f"   Exported at: {export_data['exported_at']}")
+        
+        # Get storage stats
+        print("\n8. Getting storage statistics...")
+        stats = history.get_stats()
+        print(f"   Total runs: {stats['total_runs']}")
+        print(f"   Storage size: {stats['total_size_bytes']} bytes")
+        
+        # Cleanup old runs
+        print("\n9. Running cleanup...")
+        deleted = history.cleanup(retention_days=0)  # Delete all for demo
+        print(f"   Deleted {deleted} run(s)")
+        
+        print("\n" + "=" * 60)
+        print("Example completed successfully!")
+        print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/security/README.md

@@ -0,0 +1,60 @@
+# Security Features Example
+
+This example demonstrates PraisonAI security features including SBOM generation, lockfile validation, dependency auditing, and PII redaction.
+
+## Features Demonstrated
+
+- **SBOM Generation**: Generate Software Bill of Materials in CycloneDX or SPDX format
+- **Lockfile Validation**: Validate presence and format of dependency lockfiles
+- **Dependency Auditing**: Audit dependencies for vulnerabilities
+- **PII Redaction**: Detect and redact personally identifiable information
+
+## Quick Start
+
+```bash
+python security_example.py
+```
+
+## CLI Commands
+
+### SBOM Generation
+
+```bash
+# Generate CycloneDX SBOM
+praisonai recipe sbom ./my-recipe --format cyclonedx -o sbom.json
+
+# Generate SPDX SBOM
+praisonai recipe sbom ./my-recipe --format spdx -o sbom.json
+```
+
+### Dependency Auditing
+
+```bash
+# Audit dependencies
+praisonai recipe audit ./my-recipe
+
+# Strict audit (fail on issues)
+praisonai recipe audit ./my-recipe --strict
+```
+
+### Lockfile Validation
+
+```bash
+# Validate recipe (includes lockfile check)
+praisonai recipe validate ./my-recipe --require-lockfile
+```
+
+## PII Redaction Configuration
+
+In your `TEMPLATE.yaml`:
+
+```yaml
+data_policy:
+  pii:
+    mode: redact  # allow, deny, or redact
+    fields:
+      - email
+      - phone
+      - ssn
+      - credit_card
+```

examples/security/security_example.py

@@ -0,0 +1,188 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Security Features Example
+
+This example demonstrates:
+1. SBOM (Software Bill of Materials) generation
+2. Lockfile validation
+3. Dependency auditing
+4. PII redaction
+
+Prerequisites:
+- pip install praisonai
+
+Usage:
+    python security_example.py
+"""
+
+import json
+import tempfile
+from pathlib import Path
+
+
+def create_sample_recipe(tmp_dir: Path) -> Path:
+    """Create a sample recipe with dependencies."""
+    recipe_dir = tmp_dir / "secure-recipe"
+    recipe_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Create TEMPLATE.yaml
+    import yaml
+    template = {
+        "name": "secure-recipe",
+        "version": "1.0.0",
+        "description": "A recipe with security features",
+        "requires": {
+            "tools": ["web_search", "file_reader"],
+            "external": ["ffmpeg"],
+            "env": ["OPENAI_API_KEY"],
+        },
+    }
+    
+    with open(recipe_dir / "TEMPLATE.yaml", "w") as f:
+        yaml.dump(template, f)
+    
+    # Create lock directory with requirements
+    lock_dir = recipe_dir / "lock"
+    lock_dir.mkdir()
+    
+    with open(lock_dir / "requirements.lock", "w") as f:
+        f.write("openai==1.0.0\n")
+        f.write("requests==2.31.0\n")
+        f.write("pydantic==2.0.0\n")
+    
+    return recipe_dir
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Security Features Example")
+    print("=" * 60)
+    
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        tmp_path = Path(tmp_dir)
+        
+        # Create sample recipe
+        print("\n1. Creating sample recipe with dependencies...")
+        recipe_dir = create_sample_recipe(tmp_path)
+        print(f"   Recipe created at: {recipe_dir}")
+        
+        # =====================================================
+        # SBOM Generation
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("SBOM Generation")
+        print("=" * 40)
+        
+        from praisonai.recipe.security import generate_sbom
+        
+        print("\n2. Generating CycloneDX SBOM...")
+        sbom = generate_sbom(recipe_dir, format="cyclonedx")
+        print(f"   Format: {sbom['bomFormat']}")
+        print(f"   Spec Version: {sbom['specVersion']}")
+        print(f"   Components: {len(sbom['components'])}")
+        
+        print("\n   Components:")
+        for comp in sbom["components"][:5]:
+            print(f"     - {comp['name']}@{comp['version']} ({comp['type']})")
+        
+        # Save SBOM
+        sbom_path = tmp_path / "sbom.json"
+        with open(sbom_path, "w") as f:
+            json.dump(sbom, f, indent=2)
+        print(f"\n   SBOM saved to: {sbom_path}")
+        
+        # =====================================================
+        # Lockfile Validation
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Lockfile Validation")
+        print("=" * 40)
+        
+        from praisonai.recipe.security import validate_lockfile
+        
+        print("\n3. Validating lockfile...")
+        result = validate_lockfile(recipe_dir)
+        print(f"   Valid: {result['valid']}")
+        print(f"   Lockfile: {result['lockfile']}")
+        print(f"   Type: {result['lockfile_type']}")
+        
+        # Test strict validation without lockfile
+        print("\n4. Testing strict validation on recipe without lockfile...")
+        no_lock_dir = tmp_path / "no-lock-recipe"
+        no_lock_dir.mkdir()
+        
+        result = validate_lockfile(no_lock_dir, strict=True)
+        print(f"   Valid: {result['valid']}")
+        print(f"   Errors: {result['errors']}")
+        
+        # =====================================================
+        # Dependency Auditing
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("Dependency Auditing")
+        print("=" * 40)
+        
+        from praisonai.recipe.security import audit_dependencies
+        
+        print("\n5. Auditing dependencies...")
+        report = audit_dependencies(recipe_dir)
+        print(f"   Recipe: {report['recipe']}")
+        print(f"   Lockfile: {report['lockfile']}")
+        print(f"   Dependencies: {len(report['dependencies'])}")
+        print(f"   Vulnerabilities: {len(report['vulnerabilities'])}")
+        print(f"   Warnings: {len(report['warnings'])}")
+        print(f"   Passed: {report['passed']}")
+        
+        if report["warnings"]:
+            print("\n   Warnings:")
+            for warn in report["warnings"]:
+                print(f"     - {warn}")
+        
+        # =====================================================
+        # PII Redaction
+        # =====================================================
+        print("\n" + "=" * 40)
+        print("PII Redaction")
+        print("=" * 40)
+        
+        from praisonai.recipe.security import redact_pii, detect_pii
+        
+        # Sample data with PII
+        sample_data = {
+            "customer": {
+                "name": "John Doe",
+                "email": "[email protected]",
+                "phone": "555-123-4567",
+                "message": "Please contact me at [email protected]",
+            },
+            "ticket_id": "T-12345",
+        }
+        
+        print("\n6. Detecting PII in sample data...")
+        detections = detect_pii(sample_data)
+        print(f"   Found {len(detections)} PII instance(s):")
+        for d in detections:
+            print(f"     - {d['type']} at {d['path']}")
+        
+        print("\n7. Redacting PII...")
+        policy = {
+            "pii": {
+                "mode": "redact",
+                "fields": ["email", "phone"],
+            }
+        }
+        
+        redacted = redact_pii(sample_data, policy)
+        print("   Original email:", sample_data["customer"]["email"])
+        print("   Redacted email:", redacted["customer"]["email"])
+        print("   Original phone:", sample_data["customer"]["phone"])
+        print("   Redacted phone:", redacted["customer"]["phone"])
+        
+        print("\n" + "=" * 60)
+        print("Example completed successfully!")
+        print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/README.md

@@ -0,0 +1,142 @@
+# PraisonAI Serve Examples
+
+Examples for all PraisonAI server types and the unified endpoints CLI.
+
+## Examples
+
+| Example | Description | CLI Command |
+|---------|-------------|-------------|
+| `unified_server.py` | All providers in one server | `praisonai serve unified` |
+| `agent_as_api_single.py` | Single agent HTTP API | `praisonai serve agents` |
+| `agents_as_api_router.py` | Multi-agent router API | `praisonai serve agents` |
+| `a2a_server_client.py` | A2A protocol server | `praisonai serve a2a` |
+| `a2u_events_stream.py` | A2U event stream | `praisonai serve a2u` |
+| `mcp_http_server.py` | MCP HTTP server | `praisonai serve mcp` |
+| `tools_as_mcp_server.py` | Tools as MCP server | `praisonai serve tools` |
+| `agent_launch_modes.py` | Agent.launch() API | Python only |
+| `endpoints_unified_client.py` | Unified client | `praisonai endpoints` |
+| `serve_example.py` | Recipe server client | `praisonai recipe serve` |
+
+## Server Commands
+
+| Command | Description |
+|---------|-------------|
+| `praisonai serve unified --port 8765` | Start unified server |
+| `praisonai serve agents --file agents.yaml --port 8000` | Start agents API |
+| `praisonai serve recipe --port 8765` | Start recipe server |
+| `praisonai serve mcp --transport http --port 8080` | Start MCP server |
+| `praisonai serve tools --port 8081` | Start tools MCP server |
+| `praisonai serve a2a --port 8082` | Start A2A server |
+| `praisonai serve a2u --port 8083` | Start A2U server |
+
+## Client Commands
+
+| Command | Description |
+|---------|-------------|
+| `praisonai endpoints list` | List all endpoints |
+| `praisonai endpoints list --type agents-api` | Filter by type |
+| `praisonai endpoints describe <name>` | Get endpoint details |
+| `praisonai endpoints invoke <name> --input-json '{}'` | Invoke endpoint |
+| `praisonai endpoints health` | Check server health |
+| `praisonai endpoints types` | List provider types |
+| `praisonai endpoints discovery` | Show discovery document |
+
+## Quick Start
+
+```bash
+# Terminal 1: Start unified server
+export OPENAI_API_KEY=your-key
+praisonai serve unified --port 8765
+
+# Terminal 2: Use endpoints CLI
+praisonai endpoints health
+praisonai endpoints list
+praisonai endpoints types
+```
+
+## Provider Types
+
+| Type | Description |
+|------|-------------|
+| `recipe` | Recipe runner endpoints |
+| `agents-api` | Single/multi-agent HTTP API |
+| `mcp` | MCP server (stdio, http, sse) |
+| `tools-mcp` | Tools exposed as MCP server |
+| `a2a` | Agent-to-agent protocol |
+| `a2u` | Agent-to-user event stream |
+
+## Configuration Options
+
+| Option | Description | Default |
+|--------|-------------|---------|
+| `host` | Server bind address | 127.0.0.1 |
+| `port` | Server port | 8765 |
+| `auth` | Auth type (none, api-key, jwt) | none |
+| `api_key` | API key for auth | - |
+| `preload` | Preload recipes on startup | false |
+| `recipes` | List of recipes to serve | all |
+| `cors_origins` | CORS allowed origins | - |
+
+## Advanced Features
+
+| Feature | CLI Flag | Description | Docs |
+|---------|----------|-------------|------|
+| Rate Limiting | `--rate_limit 100` | Requests per minute per client | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+| Request Size Limit | `--max_request_size 10485760` | Max request body (bytes) | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+| Metrics Endpoint | `--enable_metrics` | Prometheus /metrics endpoint | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+| Admin Reload | `--enable_admin` | Hot reload /admin/reload | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+| Workers | `--workers 4` | Multi-process workers | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+| OpenTelemetry | `--trace_exporter otlp` | Distributed tracing | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+| OpenAPI | `GET /openapi.json` | API specification | [Code](/docs/features/recipe-serve-advanced) [CLI](/docs/cli/recipe-serve-advanced) |
+
+## Advanced Examples
+
+| Example | Description |
+|---------|-------------|
+| `recipe_serve_features.py` | All advanced features demo |
+
+## Advanced CLI Commands
+
+```bash
+# Production server with all features
+praisonai recipe serve \
+  --host 0.0.0.0 \
+  --port 8765 \
+  --auth api-key \
+  --workers 4 \
+  --rate_limit 100 \
+  --enable_metrics \
+  --enable_admin
+
+# Get metrics
+curl http://localhost:8765/metrics
+
+# Get OpenAPI spec
+curl http://localhost:8765/openapi.json
+
+# Hot reload recipes
+curl -X POST http://localhost:8765/admin/reload \
+  -H "X-API-Key: your-key"
+```
+
+## CLI Commands
+
+```bash
+# Health check
+praisonai endpoints health
+
+# List recipes (with auth)
+praisonai endpoints list --api-key your-key
+
+# Invoke recipe
+praisonai endpoints invoke my-recipe \
+  --input-json '{"query": "Hello"}' \
+  --api-key your-key \
+  --json
+```
+
+## Security Notes
+
+- Always use `--auth api-key` when binding to `0.0.0.0`
+- Store API keys in environment variables, not config files
+- Use HTTPS in production (via reverse proxy)

examples/serve/a2a_server_client.py

@@ -0,0 +1,190 @@
+#!/usr/bin/env python3
+"""
+A2A (Agent-to-Agent) Server and Client Example
+
+Demonstrates:
+- Launching an agent as A2A server
+- Agent card discovery
+- Sending A2A messages
+- JSON-RPC protocol
+
+Usage:
+    # Run this example (starts server)
+    python a2a_server_client.py
+    
+    # Or use CLI:
+    praisonai serve a2a --port 8082
+    
+    # Test with curl:
+    curl http://localhost:8082/.well-known/agent.json
+    curl -X POST http://localhost:8082/a2a \
+      -H "Content-Type: application/json" \
+      -d '{"jsonrpc":"2.0","method":"message/send","id":"1","params":{"message":{"role":"user","parts":[{"type":"text","text":"Hello!"}]}}}'
+"""
+
+import os
+import sys
+import json
+import threading
+import time
+
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Error: OPENAI_API_KEY environment variable not set")
+    sys.exit(1)
+
+
+def run_server():
+    """Run A2A server."""
+    try:
+        from praisonaiagents import Agent
+        from praisonaiagents.ui.a2a import A2A
+        from fastapi import FastAPI
+        import uvicorn
+    except ImportError as e:
+        print(f"Error: Missing dependency - {e}")
+        print("Install with: pip install 'praisonaiagents[api]'")
+        sys.exit(1)
+    
+    # Create agent
+    agent = Agent(
+        name="A2A-Assistant",
+        role="Helpful AI Assistant",
+        goal="Help other agents and users with their questions",
+        backstory="You are a knowledgeable assistant accessible via A2A protocol.",
+        llm="gpt-4o-mini"
+    )
+    
+    # Create A2A interface
+    a2a = A2A(
+        agent=agent,
+        url="http://localhost:8082/a2a",
+        name="A2A-Assistant",
+        description="A helpful AI assistant accessible via A2A protocol"
+    )
+    
+    # Create FastAPI app
+    app = FastAPI(title="PraisonAI A2A Server")
+    app.include_router(a2a.get_router())
+    
+    # Add discovery endpoint
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-a2a",
+            "providers": [{"type": "a2a", "name": "A2A Protocol", "capabilities": ["agent-card", "message-send"]}],
+            "endpoints": [{"name": "a2a", "provider_type": "a2a", "streaming": ["sse"]}]
+        }
+    
+    @app.get("/")
+    async def root():
+        return {
+            "message": "PraisonAI A2A Server",
+            "agent_card": "/.well-known/agent.json",
+            "a2a_endpoint": "/a2a",
+            "discovery": "/__praisonai__/discovery"
+        }
+    
+    print("Starting A2A server on http://localhost:8082")
+    print("Agent Card: http://localhost:8082/.well-known/agent.json")
+    print("A2A Endpoint: http://localhost:8082/a2a")
+    
+    uvicorn.run(app, host="127.0.0.1", port=8082, log_level="warning")
+
+
+def run_client():
+    """Run A2A client test."""
+    import urllib.request
+    import urllib.error
+    
+    base_url = "http://localhost:8082"
+    
+    print("\n--- A2A Client Test ---")
+    
+    # 1. Get agent card
+    print("\n1. Getting Agent Card...")
+    try:
+        req = urllib.request.Request(f"{base_url}/.well-known/agent.json")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            agent_card = json.loads(resp.read().decode())
+            print(f"   Agent: {agent_card.get('name')}")
+            print(f"   URL: {agent_card.get('url')}")
+            print(f"   Capabilities: {agent_card.get('capabilities', {})}")
+    except Exception as e:
+        print(f"   Error: {e}")
+        return
+    
+    # 2. Send A2A message
+    print("\n2. Sending A2A Message...")
+    message = {
+        "jsonrpc": "2.0",
+        "method": "message/send",
+        "id": "test-1",
+        "params": {
+            "message": {
+                "role": "user",
+                "parts": [{"type": "text", "text": "Hello! What can you help me with?"}]
+            }
+        }
+    }
+    
+    try:
+        req = urllib.request.Request(
+            f"{base_url}/a2a",
+            data=json.dumps(message).encode(),
+            headers={"Content-Type": "application/json"},
+            method="POST"
+        )
+        with urllib.request.urlopen(req, timeout=30) as resp:
+            response = json.loads(resp.read().decode())
+            if "result" in response:
+                result_msg = response["result"].get("message", {})
+                parts = result_msg.get("parts", [])
+                for part in parts:
+                    if part.get("type") == "text":
+                        print(f"   Response: {part.get('text', '')[:200]}...")
+            elif "error" in response:
+                print(f"   Error: {response['error']}")
+    except Exception as e:
+        print(f"   Error: {e}")
+    
+    # 3. Check discovery
+    print("\n3. Checking Discovery...")
+    try:
+        req = urllib.request.Request(f"{base_url}/__praisonai__/discovery")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            discovery = json.loads(resp.read().decode())
+            print(f"   Server: {discovery.get('server_name')}")
+            print(f"   Providers: {[p.get('type') for p in discovery.get('providers', [])]}")
+    except Exception as e:
+        print(f"   Error: {e}")
+    
+    print("\n✓ A2A client test completed!")
+
+
+def main():
+    print("=" * 60)
+    print("A2A (Agent-to-Agent) Server and Client Example")
+    print("=" * 60)
+    
+    mode = sys.argv[1] if len(sys.argv) > 1 else "server"
+    
+    if mode == "client":
+        run_client()
+    elif mode == "test":
+        # Start server in background, run client, then stop
+        print("Starting server in background...")
+        server_thread = threading.Thread(target=run_server, daemon=True)
+        server_thread.start()
+        time.sleep(3)  # Wait for server to start
+        run_client()
+    else:
+        print("\nStarting A2A server...")
+        print("Press Ctrl+C to stop")
+        print("\nTo test, run in another terminal:")
+        print("  python a2a_server_client.py client")
+        run_server()
+
+
+if __name__ == "__main__":
+    main()

examples/serve/a2u_events_stream.py

@@ -0,0 +1,189 @@
+#!/usr/bin/env python3
+"""
+A2U (Agent-to-User) Event Stream Example
+
+Demonstrates:
+- Launching an A2U event stream server
+- Subscribing to agent events
+- SSE (Server-Sent Events) streaming
+- Event filtering
+
+Usage:
+    # Run this example (starts server)
+    python a2u_events_stream.py
+    
+    # Or use CLI:
+    praisonai serve a2u --port 8083
+    
+    # Test with curl:
+    curl http://localhost:8083/a2u/info
+    curl -N http://localhost:8083/a2u/events/events
+"""
+
+import os
+import sys
+import json
+import threading
+import time
+
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Error: OPENAI_API_KEY environment variable not set")
+    sys.exit(1)
+
+
+def run_server():
+    """Run A2U server."""
+    try:
+        from fastapi import FastAPI
+        import uvicorn
+        from praisonai.endpoints.a2u_server import (
+            create_a2u_routes,
+            emit_agent_started,
+            emit_agent_thinking,
+            emit_agent_response,
+            emit_agent_completed,
+        )
+    except ImportError as e:
+        print(f"Error: Missing dependency - {e}")
+        print("Install with: pip install praisonai[serve]")
+        sys.exit(1)
+    
+    app = FastAPI(title="PraisonAI A2U Server")
+    
+    # Add A2U routes
+    create_a2u_routes(app)
+    
+    # Add discovery endpoint
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-a2u",
+            "providers": [{"type": "a2u", "name": "A2U Event Stream", "capabilities": ["subscribe", "stream"]}],
+            "endpoints": [{"name": "events", "provider_type": "a2u", "streaming": ["sse"]}]
+        }
+    
+    @app.get("/")
+    async def root():
+        return {
+            "message": "PraisonAI A2U Server",
+            "info": "/a2u/info",
+            "events": "/a2u/events/<stream>",
+            "discovery": "/__praisonai__/discovery"
+        }
+    
+    # Demo endpoint to emit events
+    @app.post("/demo/emit")
+    async def demo_emit():
+        """Emit demo events for testing."""
+        agent_id = "demo-agent-1"
+        emit_agent_started(agent_id, "DemoAgent")
+        emit_agent_thinking(agent_id, "Processing your request...")
+        emit_agent_response(agent_id, "Here is my response to your query.")
+        emit_agent_completed(agent_id, {"status": "success"})
+        return {"message": "Demo events emitted", "agent_id": agent_id}
+    
+    print("Starting A2U server on http://localhost:8083")
+    print("Info: http://localhost:8083/a2u/info")
+    print("Events: http://localhost:8083/a2u/events/events")
+    print("Demo: POST http://localhost:8083/demo/emit")
+    
+    uvicorn.run(app, host="127.0.0.1", port=8083, log_level="warning")
+
+
+def run_client():
+    """Run A2U client test."""
+    import urllib.request
+    import urllib.error
+    
+    base_url = "http://localhost:8083"
+    
+    print("\n--- A2U Client Test ---")
+    
+    # 1. Get A2U info
+    print("\n1. Getting A2U Info...")
+    try:
+        req = urllib.request.Request(f"{base_url}/a2u/info")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            info = json.loads(resp.read().decode())
+            print(f"   Name: {info.get('name')}")
+            print(f"   Version: {info.get('version')}")
+            print(f"   Streams: {info.get('streams')}")
+            print(f"   Event Types: {info.get('event_types')}")
+    except Exception as e:
+        print(f"   Error: {e}")
+        return
+    
+    # 2. Subscribe to events
+    print("\n2. Subscribing to Events...")
+    try:
+        req = urllib.request.Request(
+            f"{base_url}/a2u/subscribe",
+            data=json.dumps({"stream": "events", "filters": []}).encode(),
+            headers={"Content-Type": "application/json"},
+            method="POST"
+        )
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            sub = json.loads(resp.read().decode())
+            print(f"   Subscription ID: {sub.get('subscription_id')}")
+            print(f"   Stream URL: {sub.get('stream_url')}")
+    except Exception as e:
+        print(f"   Error: {e}")
+    
+    # 3. Emit demo events
+    print("\n3. Emitting Demo Events...")
+    try:
+        req = urllib.request.Request(
+            f"{base_url}/demo/emit",
+            data=b"{}",
+            headers={"Content-Type": "application/json"},
+            method="POST"
+        )
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            result = json.loads(resp.read().decode())
+            print(f"   {result.get('message')}")
+            print(f"   Agent ID: {result.get('agent_id')}")
+    except Exception as e:
+        print(f"   Error: {e}")
+    
+    # 4. Check discovery
+    print("\n4. Checking Discovery...")
+    try:
+        req = urllib.request.Request(f"{base_url}/__praisonai__/discovery")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            discovery = json.loads(resp.read().decode())
+            print(f"   Server: {discovery.get('server_name')}")
+            print(f"   Providers: {[p.get('type') for p in discovery.get('providers', [])]}")
+    except Exception as e:
+        print(f"   Error: {e}")
+    
+    print("\n✓ A2U client test completed!")
+    print("\nTo stream events, run:")
+    print(f"  curl -N {base_url}/a2u/events/events")
+
+
+def main():
+    print("=" * 60)
+    print("A2U (Agent-to-User) Event Stream Example")
+    print("=" * 60)
+    
+    mode = sys.argv[1] if len(sys.argv) > 1 else "server"
+    
+    if mode == "client":
+        run_client()
+    elif mode == "test":
+        print("Starting server in background...")
+        server_thread = threading.Thread(target=run_server, daemon=True)
+        server_thread.start()
+        time.sleep(2)
+        run_client()
+    else:
+        print("\nStarting A2U server...")
+        print("Press Ctrl+C to stop")
+        print("\nTo test, run in another terminal:")
+        print("  python a2u_events_stream.py client")
+        run_server()
+
+
+if __name__ == "__main__":
+    main()

examples/serve/agent_as_api_single.py

@@ -0,0 +1,132 @@
+#!/usr/bin/env python3
+"""
+Single Agent as HTTP API Example
+
+Demonstrates launching a single agent as an HTTP API server with:
+- REST endpoint for queries
+- Streaming support (SSE)
+- Discovery endpoint
+- Health check
+
+Usage:
+    # Run this example
+    python agent_as_api_single.py
+    
+    # Or use CLI:
+    praisonai serve agents --file agents.yaml --port 8000
+    
+    # Test with curl:
+    curl -X POST http://localhost:8000/agent \
+      -H "Content-Type: application/json" \
+      -d '{"query": "What is AI?"}'
+"""
+
+import os
+import sys
+
+# Ensure API key is set
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Error: OPENAI_API_KEY environment variable not set")
+    sys.exit(1)
+
+
+def main():
+    print("=" * 60)
+    print("Single Agent as HTTP API Example")
+    print("=" * 60)
+    
+    try:
+        from praisonaiagents import Agent
+    except ImportError:
+        print("Error: praisonaiagents not installed")
+        print("Install with: pip install praisonaiagents")
+        sys.exit(1)
+    
+    # Create a single agent
+    agent = Agent(
+        name="Assistant",
+        role="Helpful AI Assistant",
+        goal="Help users with their questions accurately and concisely",
+        backstory="You are a knowledgeable assistant who provides clear, helpful answers.",
+        llm="gpt-4o-mini",
+        verbose=True
+    )
+    
+    print(f"Agent: {agent.name}")
+    print(f"Role: {agent.role}")
+    
+    # Launch as HTTP API
+    print("\nLaunching agent as HTTP API...")
+    print("Endpoints:")
+    print("  POST /agent - Query the agent")
+    print("  GET  /health - Health check")
+    print("  GET  /__praisonai__/discovery - Discovery document")
+    print("\nPress Ctrl+C to stop")
+    
+    try:
+        # Use Agent.launch() to start HTTP server
+        agent.launch(
+            port=8000,
+            host="127.0.0.1",
+            path="/agent"
+        )
+    except KeyboardInterrupt:
+        print("\nServer stopped")
+    except Exception as e:
+        print(f"Error launching server: {e}")
+        # Fallback: manual FastAPI setup
+        print("\nFallback: Using manual FastAPI setup...")
+        launch_manual(agent)
+
+
+def launch_manual(agent):
+    """Manual FastAPI server setup as fallback."""
+    try:
+        from fastapi import FastAPI, Request
+        from fastapi.responses import JSONResponse
+        import uvicorn
+    except ImportError:
+        print("Error: FastAPI/uvicorn not installed")
+        print("Install with: pip install fastapi uvicorn")
+        return
+    
+    app = FastAPI(title="PraisonAI Agent API")
+    
+    @app.post("/agent")
+    async def query_agent(request: Request):
+        try:
+            body = await request.json()
+            query = body.get("query", "")
+            if not query:
+                return JSONResponse({"error": "query required"}, status_code=400)
+            
+            response = agent.chat(query)
+            return {"response": response}
+        except Exception as e:
+            return JSONResponse({"error": str(e)}, status_code=500)
+    
+    @app.get("/health")
+    async def health():
+        return {"status": "healthy", "agent": agent.name}
+    
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-agent",
+            "providers": [{"type": "agents-api", "name": "Single Agent API"}],
+            "endpoints": [{"name": "agent", "provider_type": "agents-api"}]
+        }
+    
+    @app.get("/")
+    async def root():
+        return {
+            "message": f"PraisonAI Agent: {agent.name}",
+            "endpoints": ["/agent", "/health", "/__praisonai__/discovery"]
+        }
+    
+    uvicorn.run(app, host="127.0.0.1", port=8000)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/agent_launch_modes.py

@@ -0,0 +1,220 @@
+#!/usr/bin/env python3
+"""
+Agent.launch() and Agents.launch() Example
+
+Demonstrates the high-level Python API for launching servers:
+- Agent.launch() for single agent
+- Agents.launch() for multi-agent
+- Different server modes (HTTP, MCP, A2A)
+
+Usage:
+    # Run this example
+    python agent_launch_modes.py
+    
+    # Test endpoints:
+    curl http://localhost:8000/agent
+    curl http://localhost:8000/health
+"""
+
+import os
+import sys
+
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Error: OPENAI_API_KEY environment variable not set")
+    sys.exit(1)
+
+
+def demo_single_agent_launch():
+    """Demo Agent.launch() for single agent."""
+    print("\n--- Single Agent Launch ---")
+    
+    try:
+        from praisonaiagents import Agent
+    except ImportError:
+        print("Error: praisonaiagents not installed")
+        return False
+    
+    agent = Agent(
+        name="Assistant",
+        role="Helpful AI Assistant",
+        goal="Help users with their questions",
+        llm="gpt-4o-mini"
+    )
+    
+    print(f"Agent: {agent.name}")
+    print("Launching as HTTP API on port 8000...")
+    print("\nEndpoints:")
+    print("  POST /agent - Query the agent")
+    print("  GET  /health - Health check")
+    print("\nPress Ctrl+C to stop")
+    
+    try:
+        agent.launch(port=8000, host="127.0.0.1", path="/agent")
+    except AttributeError:
+        print("Agent.launch() not available, using fallback...")
+        launch_single_fallback(agent)
+    except KeyboardInterrupt:
+        print("\nStopped")
+    
+    return True
+
+
+def demo_multi_agent_launch():
+    """Demo Agents.launch() for multi-agent."""
+    print("\n--- Multi-Agent Launch ---")
+    
+    try:
+        from praisonaiagents import Agent, PraisonAIAgents
+    except ImportError:
+        print("Error: praisonaiagents not installed")
+        return False
+    
+    researcher = Agent(
+        name="Researcher",
+        role="Research Specialist",
+        goal="Find accurate information",
+        llm="gpt-4o-mini"
+    )
+    
+    writer = Agent(
+        name="Writer",
+        role="Content Writer",
+        goal="Create engaging content",
+        llm="gpt-4o-mini"
+    )
+    
+    agents = PraisonAIAgents(agents=[researcher, writer])
+    
+    print(f"Agents: {[researcher.name, writer.name]}")
+    print("Launching as HTTP API on port 8000...")
+    print("\nEndpoints:")
+    print("  POST /agents - Route to best agent")
+    print("  POST /agents/researcher - Query researcher")
+    print("  POST /agents/writer - Query writer")
+    print("  GET  /agents/list - List agents")
+    print("\nPress Ctrl+C to stop")
+    
+    try:
+        agents.launch(port=8000, host="127.0.0.1")
+    except AttributeError:
+        print("Agents.launch() not available, using fallback...")
+        launch_multi_fallback([researcher, writer])
+    except KeyboardInterrupt:
+        print("\nStopped")
+    
+    return True
+
+
+def launch_single_fallback(agent):
+    """Fallback implementation for Agent.launch()."""
+    try:
+        from fastapi import FastAPI, Request
+        from fastapi.responses import JSONResponse
+        import uvicorn
+    except ImportError:
+        print("Error: FastAPI/uvicorn not installed")
+        return
+    
+    app = FastAPI(title=f"PraisonAI Agent: {agent.name}")
+    
+    @app.post("/agent")
+    async def query(request: Request):
+        try:
+            body = await request.json()
+            query_text = body.get("query", "")
+            response = agent.chat(query_text)
+            return {"response": response}
+        except Exception as e:
+            return JSONResponse({"error": str(e)}, status_code=500)
+    
+    @app.get("/health")
+    async def health():
+        return {"status": "healthy", "agent": agent.name}
+    
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": f"praisonai-{agent.name.lower()}",
+            "providers": [{"type": "agents-api", "name": "Single Agent API"}],
+            "endpoints": [{"name": "agent", "provider_type": "agents-api"}]
+        }
+    
+    uvicorn.run(app, host="127.0.0.1", port=8000)
+
+
+def launch_multi_fallback(agents):
+    """Fallback implementation for Agents.launch()."""
+    try:
+        from fastapi import FastAPI, Request
+        from fastapi.responses import JSONResponse
+        import uvicorn
+    except ImportError:
+        print("Error: FastAPI/uvicorn not installed")
+        return
+    
+    app = FastAPI(title="PraisonAI Multi-Agent API")
+    agent_map = {a.name.lower(): a for a in agents}
+    
+    @app.post("/agents")
+    async def route(request: Request):
+        try:
+            body = await request.json()
+            query_text = body.get("query", "")
+            # Simple routing
+            agent = agents[0]
+            response = agent.chat(query_text)
+            return {"agent": agent.name, "response": response}
+        except Exception as e:
+            return JSONResponse({"error": str(e)}, status_code=500)
+    
+    @app.post("/agents/{name}")
+    async def query_agent(name: str, request: Request):
+        agent = agent_map.get(name.lower())
+        if not agent:
+            return JSONResponse({"error": f"Agent not found: {name}"}, status_code=404)
+        try:
+            body = await request.json()
+            response = agent.chat(body.get("query", ""))
+            return {"agent": agent.name, "response": response}
+        except Exception as e:
+            return JSONResponse({"error": str(e)}, status_code=500)
+    
+    @app.get("/agents/list")
+    async def list_agents():
+        return {"agents": [{"name": a.name, "role": a.role} for a in agents]}
+    
+    @app.get("/health")
+    async def health():
+        return {"status": "healthy", "agents": len(agents)}
+    
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-agents",
+            "providers": [{"type": "agents-api", "name": "Multi-Agent API"}],
+            "endpoints": [
+                {"name": "agents", "provider_type": "agents-api"},
+                *[{"name": f"agents/{a.name.lower()}", "provider_type": "agents-api"} for a in agents]
+            ]
+        }
+    
+    uvicorn.run(app, host="127.0.0.1", port=8000)
+
+
+def main():
+    print("=" * 60)
+    print("Agent.launch() and Agents.launch() Example")
+    print("=" * 60)
+    
+    mode = sys.argv[1] if len(sys.argv) > 1 else "single"
+    
+    if mode == "multi":
+        demo_multi_agent_launch()
+    else:
+        demo_single_agent_launch()
+
+
+if __name__ == "__main__":
+    main()

examples/serve/agents_as_api_router.py

@@ -0,0 +1,189 @@
+#!/usr/bin/env python3
+"""
+Multi-Agent Router as HTTP API Example
+
+Demonstrates launching multiple agents as an HTTP API with:
+- Router endpoint for automatic agent selection
+- Per-agent endpoints
+- Streaming support (SSE)
+- Discovery endpoint
+
+Usage:
+    # Run this example
+    python agents_as_api_router.py
+    
+    # Or use CLI:
+    praisonai serve agents --file agents.yaml --port 8000
+    
+    # Test with curl:
+    curl -X POST http://localhost:8000/agents \
+      -H "Content-Type: application/json" \
+      -d '{"query": "Research AI trends"}'
+"""
+
+import os
+import sys
+
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Error: OPENAI_API_KEY environment variable not set")
+    sys.exit(1)
+
+
+def main():
+    print("=" * 60)
+    print("Multi-Agent Router as HTTP API Example")
+    print("=" * 60)
+    
+    try:
+        from praisonaiagents import Agent, PraisonAIAgents
+    except ImportError:
+        print("Error: praisonaiagents not installed")
+        print("Install with: pip install praisonaiagents")
+        sys.exit(1)
+    
+    # Create multiple agents
+    researcher = Agent(
+        name="Researcher",
+        role="Research Specialist",
+        goal="Find accurate and relevant information",
+        backstory="Expert at finding and synthesizing information from various sources.",
+        llm="gpt-4o-mini"
+    )
+    
+    writer = Agent(
+        name="Writer",
+        role="Content Writer",
+        goal="Create engaging content from research",
+        backstory="Skilled writer who transforms research into readable content.",
+        llm="gpt-4o-mini"
+    )
+    
+    analyst = Agent(
+        name="Analyst",
+        role="Data Analyst",
+        goal="Analyze data and provide insights",
+        backstory="Expert at analyzing data and extracting meaningful insights.",
+        llm="gpt-4o-mini"
+    )
+    
+    agents = [researcher, writer, analyst]
+    
+    print(f"Agents: {[a.name for a in agents]}")
+    
+    # Create multi-agent system
+    praison = PraisonAIAgents(agents=agents)
+    
+    print("\nLaunching multi-agent router as HTTP API...")
+    print("Endpoints:")
+    print("  POST /agents - Route to best agent")
+    print("  POST /agents/researcher - Query researcher")
+    print("  POST /agents/writer - Query writer")
+    print("  POST /agents/analyst - Query analyst")
+    print("  GET  /agents/list - List all agents")
+    print("  GET  /health - Health check")
+    print("  GET  /__praisonai__/discovery - Discovery document")
+    print("\nPress Ctrl+C to stop")
+    
+    try:
+        # Use Agents.launch() to start HTTP server
+        praison.launch(
+            port=8000,
+            host="127.0.0.1"
+        )
+    except KeyboardInterrupt:
+        print("\nServer stopped")
+    except Exception as e:
+        print(f"Error launching server: {e}")
+        print("\nFallback: Using manual FastAPI setup...")
+        launch_manual(agents)
+
+
+def launch_manual(agents):
+    """Manual FastAPI server setup as fallback."""
+    try:
+        from fastapi import FastAPI, Request
+        from fastapi.responses import JSONResponse
+        import uvicorn
+    except ImportError:
+        print("Error: FastAPI/uvicorn not installed")
+        print("Install with: pip install fastapi uvicorn")
+        return
+    
+    app = FastAPI(title="PraisonAI Multi-Agent API")
+    
+    # Create agent lookup
+    agent_map = {a.name.lower(): a for a in agents}
+    
+    @app.post("/agents")
+    async def route_query(request: Request):
+        """Route query to best agent."""
+        try:
+            body = await request.json()
+            query = body.get("query", "")
+            if not query:
+                return JSONResponse({"error": "query required"}, status_code=400)
+            
+            # Simple routing based on keywords
+            query_lower = query.lower()
+            if any(w in query_lower for w in ["research", "find", "search"]):
+                agent = agent_map.get("researcher", agents[0])
+            elif any(w in query_lower for w in ["write", "create", "draft"]):
+                agent = agent_map.get("writer", agents[0])
+            elif any(w in query_lower for w in ["analyze", "data", "insight"]):
+                agent = agent_map.get("analyst", agents[0])
+            else:
+                agent = agents[0]
+            
+            response = agent.chat(query)
+            return {"agent": agent.name, "response": response}
+        except Exception as e:
+            return JSONResponse({"error": str(e)}, status_code=500)
+    
+    @app.post("/agents/{agent_name}")
+    async def query_agent(agent_name: str, request: Request):
+        """Query specific agent."""
+        agent = agent_map.get(agent_name.lower())
+        if not agent:
+            return JSONResponse({"error": f"Agent not found: {agent_name}"}, status_code=404)
+        
+        try:
+            body = await request.json()
+            query = body.get("query", "")
+            response = agent.chat(query)
+            return {"agent": agent.name, "response": response}
+        except Exception as e:
+            return JSONResponse({"error": str(e)}, status_code=500)
+    
+    @app.get("/agents/list")
+    async def list_agents():
+        return {"agents": [{"name": a.name, "role": a.role} for a in agents]}
+    
+    @app.get("/health")
+    async def health():
+        return {"status": "healthy", "agents": len(agents)}
+    
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-agents-router",
+            "providers": [{"type": "agents-api", "name": "Multi-Agent Router"}],
+            "endpoints": [
+                {"name": "agents", "provider_type": "agents-api"},
+                *[{"name": f"agents/{a.name.lower()}", "provider_type": "agents-api"} for a in agents]
+            ]
+        }
+    
+    @app.get("/")
+    async def root():
+        return {
+            "message": "PraisonAI Multi-Agent Router",
+            "agents": [a.name for a in agents],
+            "endpoints": ["/agents", "/agents/list", "/health"]
+        }
+    
+    uvicorn.run(app, host="127.0.0.1", port=8000)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/endpoints_unified_client.py

@@ -0,0 +1,116 @@
+#!/usr/bin/env python3
+"""
+Unified Endpoints Client Example
+
+Demonstrates using the praisonai endpoints CLI to interact with any PraisonAI server.
+Works with recipe, agents-api, mcp, a2a, a2u, and tools-mcp servers.
+
+Usage:
+    # Start any server first (e.g., unified server)
+    praisonai serve unified --port 8765
+    
+    # Then run this example
+    python endpoints_unified_client.py
+    
+    # Or use CLI directly:
+    praisonai endpoints list
+    praisonai endpoints types
+    praisonai endpoints health
+    praisonai endpoints discovery
+"""
+
+import json
+import os
+import subprocess
+import sys
+
+
+def run_cli(args: list) -> tuple:
+    """Run praisonai endpoints CLI command."""
+    cmd = ["python3", "-m", "praisonai.cli.main", "endpoints"] + args
+    result = subprocess.run(cmd, capture_output=True, text=True)
+    return result.returncode, result.stdout, result.stderr
+
+
+def main():
+    print("=" * 60)
+    print("PraisonAI Unified Endpoints Client Example")
+    print("=" * 60)
+    
+    server_url = os.environ.get("PRAISONAI_ENDPOINTS_URL", "http://localhost:8765")
+    print(f"Server URL: {server_url}")
+    
+    # 1. List provider types
+    print("\n--- Provider Types ---")
+    code, out, err = run_cli(["types", "--format", "json"])
+    if code == 0:
+        types = json.loads(out)
+        print(f"Supported types: {[t['type'] for t in types]}")
+    else:
+        print(f"Error: {err}")
+    
+    # 2. Health check
+    print("\n--- Health Check ---")
+    code, out, err = run_cli(["health", "--url", server_url])
+    if code == 0:
+        print("✓ Server is healthy")
+        print(out.strip())
+    elif code == 8:
+        print("✗ Connection error - server not running")
+        print("\nStart a server first:")
+        print("  praisonai serve unified --port 8765")
+        print("  praisonai serve agents --file agents.yaml --port 8765")
+        print("  praisonai serve a2a --port 8765")
+        return 1
+    else:
+        print(f"✗ Health check failed: {err}")
+        return 1
+    
+    # 3. Discovery document
+    print("\n--- Discovery Document ---")
+    code, out, err = run_cli(["discovery", "--url", server_url])
+    if code == 0:
+        try:
+            discovery = json.loads(out)
+            print(f"Server: {discovery.get('server_name', 'unknown')}")
+            print(f"Schema version: {discovery.get('schema_version', 'unknown')}")
+            providers = discovery.get('providers', [])
+            print(f"Providers: {[p.get('type') for p in providers]}")
+            endpoints = discovery.get('endpoints', [])
+            print(f"Endpoints: {[e.get('name') for e in endpoints]}")
+        except json.JSONDecodeError:
+            print(out.strip())
+    else:
+        print(f"Discovery not available: {err}")
+    
+    # 4. List endpoints
+    print("\n--- List Endpoints ---")
+    code, out, err = run_cli(["list", "--url", server_url, "--format", "json"])
+    if code == 0:
+        try:
+            endpoints = json.loads(out)
+            if isinstance(endpoints, list):
+                for ep in endpoints[:5]:  # Show first 5
+                    print(f"  - {ep.get('name')}: {ep.get('description', '')[:50]}")
+            else:
+                print(out.strip()[:200])
+        except json.JSONDecodeError:
+            print(out.strip()[:200])
+    else:
+        print(f"List failed: {err}")
+    
+    # 5. Filter by type
+    print("\n--- Filter by Provider Type ---")
+    for ptype in ["agents-api", "a2a", "recipe"]:
+        code, out, err = run_cli(["list", "--url", server_url, "--type", ptype])
+        if code == 0 and out.strip():
+            print(f"  {ptype}: {len(out.strip().split(chr(10)))} endpoints")
+    
+    print("\n" + "=" * 60)
+    print("Example completed successfully!")
+    print("=" * 60)
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())

examples/serve/mcp_http_server.py

@@ -0,0 +1,138 @@
+#!/usr/bin/env python3
+"""
+MCP HTTP Server Example
+
+Demonstrates launching an MCP server with HTTP transport:
+- HTTP-based MCP protocol
+- Tool registration
+- Discovery endpoint
+
+Usage:
+    # Run this example
+    python mcp_http_server.py
+    
+    # Or use CLI:
+    praisonai serve mcp --transport http --port 8080
+    
+    # Test with curl:
+    curl http://localhost:8080/mcp/tools
+    curl -X POST http://localhost:8080/mcp/tools/call \
+      -H "Content-Type: application/json" \
+      -d '{"tool": "search", "arguments": {"query": "AI news"}}'
+"""
+
+import sys
+
+
+def main():
+    print("=" * 60)
+    print("MCP HTTP Server Example")
+    print("=" * 60)
+    
+    try:
+        from fastapi import FastAPI
+        import uvicorn
+    except ImportError:
+        print("Error: FastAPI/uvicorn not installed")
+        print("Install with: pip install fastapi uvicorn")
+        sys.exit(1)
+    
+    # Define tools
+    def search(query: str) -> str:
+        """Search the web for information."""
+        return f"Search results for: {query}"
+    
+    def calculate(expression: str) -> str:
+        """Calculate a math expression safely."""
+        try:
+            # Safe eval for basic math
+            allowed = set("0123456789+-*/.() ")
+            if all(c in allowed for c in expression):
+                return str(eval(expression))
+            return "Error: Invalid expression"
+        except Exception as e:
+            return f"Error: {e}"
+    
+    def get_weather(city: str) -> str:
+        """Get weather for a city (mock)."""
+        return f"Weather in {city}: Sunny, 72°F"
+    
+    tools = {
+        "search": {"func": search, "description": "Search the web for information"},
+        "calculate": {"func": calculate, "description": "Calculate a math expression"},
+        "get_weather": {"func": get_weather, "description": "Get weather for a city"},
+    }
+    
+    app = FastAPI(title="PraisonAI MCP Server")
+    
+    @app.get("/mcp/tools")
+    async def list_tools():
+        """List available MCP tools."""
+        return {
+            "tools": [
+                {
+                    "name": name,
+                    "description": info["description"],
+                    "inputSchema": {
+                        "type": "object",
+                        "properties": {
+                            list(info["func"].__code__.co_varnames)[0]: {"type": "string"}
+                        },
+                        "required": [list(info["func"].__code__.co_varnames)[0]]
+                    }
+                }
+                for name, info in tools.items()
+            ]
+        }
+    
+    @app.post("/mcp/tools/call")
+    async def call_tool(request: dict):
+        """Call an MCP tool."""
+        tool_name = request.get("tool")
+        arguments = request.get("arguments", {})
+        
+        if tool_name not in tools:
+            return {"error": f"Tool not found: {tool_name}"}
+        
+        try:
+            func = tools[tool_name]["func"]
+            # Get first argument
+            arg_name = list(func.__code__.co_varnames)[0]
+            arg_value = arguments.get(arg_name, "")
+            result = func(arg_value)
+            return {"result": result, "tool": tool_name}
+        except Exception as e:
+            return {"error": str(e)}
+    
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-mcp",
+            "providers": [{"type": "mcp", "name": "MCP Server", "capabilities": ["list-tools", "call-tool"]}],
+            "endpoints": [{"name": "mcp", "provider_type": "mcp"}]
+        }
+    
+    @app.get("/health")
+    async def health():
+        return {"status": "healthy", "tools": len(tools)}
+    
+    @app.get("/")
+    async def root():
+        return {
+            "message": "PraisonAI MCP Server (HTTP)",
+            "tools": list(tools.keys()),
+            "endpoints": ["/mcp/tools", "/mcp/tools/call", "/health"]
+        }
+    
+    print(f"Tools: {list(tools.keys())}")
+    print("\nStarting MCP HTTP server on http://localhost:8080")
+    print("List tools: GET http://localhost:8080/mcp/tools")
+    print("Call tool: POST http://localhost:8080/mcp/tools/call")
+    print("\nPress Ctrl+C to stop")
+    
+    uvicorn.run(app, host="127.0.0.1", port=8080)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/recipe_serve_features.py

@@ -0,0 +1,350 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Recipe Server Advanced Features Example
+
+Demonstrates:
+1. Rate limiting
+2. Request size limits
+3. Metrics endpoint
+4. Admin reload endpoint
+5. OpenAPI specification
+6. Workers configuration
+7. OpenTelemetry tracing
+
+Prerequisites:
+- pip install praisonai[serve]
+- Set OPENAI_API_KEY environment variable
+
+Usage:
+    # Run this example
+    python recipe_serve_features.py
+"""
+
+import json
+import os
+import urllib.request
+import urllib.error
+
+# Configuration
+SERVER_URL = os.environ.get("PRAISONAI_ENDPOINTS_URL", "http://localhost:8765")
+API_KEY = os.environ.get("PRAISONAI_API_KEY", "test-api-key")
+
+
+def make_request(method: str, path: str, data: dict = None, headers: dict = None) -> dict:
+    """Make HTTP request to server."""
+    url = f"{SERVER_URL}{path}"
+    default_headers = {
+        "Content-Type": "application/json",
+        "X-API-Key": API_KEY,
+    }
+    if headers:
+        default_headers.update(headers)
+    
+    body = json.dumps(data).encode() if data else None
+    
+    try:
+        req = urllib.request.Request(url, data=body, headers=default_headers, method=method)
+        with urllib.request.urlopen(req, timeout=30) as response:
+            return {
+                "status": response.status,
+                "data": json.loads(response.read().decode()),
+                "headers": dict(response.headers)
+            }
+    except urllib.error.HTTPError as e:
+        body = e.read().decode() if e.fp else ""
+        try:
+            error_data = json.loads(body)
+        except json.JSONDecodeError:
+            error_data = {"raw": body}
+        return {
+            "status": e.code,
+            "error": error_data,
+            "headers": dict(e.headers) if hasattr(e, 'headers') else {}
+        }
+    except urllib.error.URLError as e:
+        return {"status": 0, "error": str(e.reason)}
+
+
+def test_health():
+    """Test health endpoint."""
+    print("\n" + "=" * 60)
+    print("TEST: Health Check")
+    print("=" * 60)
+    
+    result = make_request("GET", "/health")
+    
+    if result.get("status") == 200:
+        data = result["data"]
+        print("✓ Server healthy")
+        print(f"  Service: {data.get('service')}")
+        print(f"  Version: {data.get('version')}")
+        return True
+    else:
+        print(f"✗ Server unhealthy: {result.get('error')}")
+        return False
+
+
+def test_openapi():
+    """Test OpenAPI specification endpoint."""
+    print("\n" + "=" * 60)
+    print("TEST: OpenAPI Specification")
+    print("=" * 60)
+    
+    result = make_request("GET", "/openapi.json")
+    
+    if result.get("status") == 200:
+        spec = result["data"]
+        print("✓ OpenAPI spec available")
+        print(f"  Version: {spec.get('openapi')}")
+        print(f"  Title: {spec.get('info', {}).get('title')}")
+        print(f"  Paths: {list(spec.get('paths', {}).keys())[:5]}...")
+        return True
+    else:
+        print(f"✗ OpenAPI not available: {result.get('error')}")
+        return False
+
+
+def test_metrics():
+    """Test metrics endpoint."""
+    print("\n" + "=" * 60)
+    print("TEST: Metrics Endpoint")
+    print("=" * 60)
+    
+    result = make_request("GET", "/metrics")
+    
+    if result.get("status") == 200:
+        # Metrics returns plain text, not JSON
+        print("✓ Metrics endpoint available")
+        print("  (Prometheus format)")
+        return True
+    elif result.get("status") == 404:
+        print("⚠ Metrics endpoint not enabled")
+        print("  Enable with: --enable_metrics")
+        return True  # Not a failure, just not enabled
+    else:
+        print(f"✗ Metrics error: {result.get('error')}")
+        return False
+
+
+def test_admin_reload():
+    """Test admin reload endpoint."""
+    print("\n" + "=" * 60)
+    print("TEST: Admin Reload Endpoint")
+    print("=" * 60)
+    
+    result = make_request("POST", "/admin/reload")
+    
+    if result.get("status") == 200:
+        data = result["data"]
+        print("✓ Admin reload successful")
+        print(f"  Status: {data.get('status')}")
+        print(f"  Timestamp: {data.get('timestamp')}")
+        return True
+    elif result.get("status") == 404:
+        print("⚠ Admin endpoint not enabled")
+        print("  Enable with: --enable_admin")
+        return True  # Not a failure, just not enabled
+    elif result.get("status") == 401:
+        print("⚠ Admin endpoint requires authentication")
+        return True  # Expected behavior
+    else:
+        print(f"✗ Admin reload error: {result.get('error')}")
+        return False
+
+
+def test_rate_limiting():
+    """Test rate limiting."""
+    print("\n" + "=" * 60)
+    print("TEST: Rate Limiting")
+    print("=" * 60)
+    
+    # Make rapid requests
+    rate_limited = False
+    retry_after = None
+    
+    for i in range(20):
+        result = make_request("GET", "/v1/recipes")
+        
+        if result.get("status") == 429:
+            rate_limited = True
+            retry_after = result.get("headers", {}).get("Retry-After")
+            error = result.get("error", {})
+            print(f"✓ Rate limited after {i} requests")
+            print(f"  Error code: {error.get('error', {}).get('code')}")
+            print(f"  Retry-After: {retry_after}")
+            break
+    
+    if not rate_limited:
+        print("⚠ Rate limiting not triggered (may not be enabled)")
+        print("  Enable with: --rate_limit 10")
+    
+    return True
+
+
+def test_request_size_limit():
+    """Test request size limit."""
+    print("\n" + "=" * 60)
+    print("TEST: Request Size Limit")
+    print("=" * 60)
+    
+    # Create a large payload
+    large_data = {
+        "recipe": "test",
+        "input": {"data": "x" * 100000}  # ~100KB
+    }
+    
+    result = make_request("POST", "/v1/recipes/run", large_data)
+    
+    if result.get("status") == 413:
+        error = result.get("error", {})
+        print("✓ Request size limit enforced")
+        print(f"  Error code: {error.get('error', {}).get('code')}")
+        return True
+    elif result.get("status") in [200, 400, 404]:
+        print("⚠ Request size limit not triggered (limit may be higher)")
+        print("  Set with: --max_request_size 1000")
+        return True
+    else:
+        print(f"  Response: {result.get('status')} - {result.get('error')}")
+        return True
+
+
+def test_list_recipes():
+    """Test listing recipes."""
+    print("\n" + "=" * 60)
+    print("TEST: List Recipes")
+    print("=" * 60)
+    
+    result = make_request("GET", "/v1/recipes")
+    
+    if result.get("status") == 200:
+        recipes = result["data"].get("recipes", [])
+        print(f"✓ Found {len(recipes)} recipes")
+        for r in recipes[:3]:
+            print(f"  - {r.get('name')} ({r.get('version', 'unknown')})")
+        if len(recipes) > 3:
+            print(f"  ... and {len(recipes) - 3} more")
+        return True
+    elif result.get("status") == 401:
+        print("⚠ Authentication required")
+        return True
+    else:
+        print(f"✗ Error: {result.get('error')}")
+        return False
+
+
+def demonstrate_programmatic_usage():
+    """Demonstrate programmatic server configuration."""
+    print("\n" + "=" * 60)
+    print("DEMO: Programmatic Configuration")
+    print("=" * 60)
+    
+    print("""
+# Rate Limiter
+from praisonai.recipe.serve import create_rate_limiter
+limiter = create_rate_limiter(requests_per_minute=100)
+allowed, retry_after = limiter.check("client-id")
+
+# Metrics Collector
+from praisonai.recipe.serve import MetricsCollector
+metrics = MetricsCollector()
+metrics.record_request("/health", "GET", 200, 0.01)
+print(metrics.get_prometheus_metrics())
+
+# OpenAPI Spec
+from praisonai.recipe.serve import get_openapi_spec
+spec = get_openapi_spec({"enable_metrics": True, "enable_admin": True})
+print(spec["paths"].keys())
+
+# Template Search Paths
+from praisonai.recipe.core import get_template_search_paths
+paths = get_template_search_paths()
+print(f"Searching {len(paths)} paths for recipes")
+
+# Reload Registry
+from praisonai.recipe.core import reload_registry
+reload_registry()
+print("Registry reloaded")
+""")
+    
+    # Actually run the demos
+    try:
+        from praisonai.recipe.serve import create_rate_limiter, MetricsCollector, get_openapi_spec
+        from praisonai.recipe.core import get_template_search_paths, reload_registry
+        
+        # Rate limiter
+        limiter = create_rate_limiter(requests_per_minute=100)
+        allowed, _ = limiter.check("demo-client")
+        print(f"✓ Rate limiter: allowed={allowed}")
+        
+        # Metrics
+        metrics = MetricsCollector()
+        metrics.record_request("/demo", "GET", 200, 0.01)
+        prom = metrics.get_prometheus_metrics()
+        print(f"✓ Metrics: {len(prom)} chars of Prometheus format")
+        
+        # OpenAPI
+        spec = get_openapi_spec({"enable_metrics": True})
+        print(f"✓ OpenAPI: {len(spec['paths'])} paths defined")
+        
+        # Search paths
+        paths = get_template_search_paths()
+        print(f"✓ Template paths: {len(paths)} directories")
+        
+        # Reload
+        reload_registry()
+        print("✓ Registry reloaded")
+        
+    except ImportError as e:
+        print(f"⚠ Import error: {e}")
+        print("  Install with: pip install praisonai[serve]")
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Recipe Server Advanced Features")
+    print("=" * 60)
+    print(f"Server URL: {SERVER_URL}")
+    print(f"API Key: {'*' * 8}..." if API_KEY else "API Key: Not set")
+    
+    # Check if server is running
+    if not test_health():
+        print("\n" + "=" * 60)
+        print("Server not running. Start it with:")
+        print("=" * 60)
+        print(f"""
+# Basic start
+praisonai recipe serve
+
+# With all features enabled
+export PRAISONAI_API_KEY={API_KEY}
+praisonai recipe serve \\
+  --auth api-key \\
+  --rate_limit 100 \\
+  --enable_metrics \\
+  --enable_admin \\
+  --workers 2
+""")
+        # Still demonstrate programmatic usage
+        demonstrate_programmatic_usage()
+        return
+    
+    # Run all tests
+    test_openapi()
+    test_metrics()
+    test_admin_reload()
+    test_rate_limiting()
+    test_request_size_limit()
+    test_list_recipes()
+    
+    # Demonstrate programmatic usage
+    demonstrate_programmatic_usage()
+    
+    print("\n" + "=" * 60)
+    print("All tests completed!")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/serve.yaml

@@ -0,0 +1,29 @@
+# PraisonAI Recipe Server Configuration
+# This file configures the recipe HTTP server
+
+# Server binding
+host: 127.0.0.1
+port: 8765
+
+# Authentication
+# Options: none, api-key, jwt
+auth: api-key
+
+# API key for authentication (or use PRAISONAI_API_KEY env var)
+# api_key: your-secret-key-here
+
+# Recipe filtering (optional)
+# Only serve these specific recipes
+# recipes:
+#   - my-recipe
+#   - another-recipe
+
+# Performance
+# Preload recipes on startup for faster first request
+preload: true
+
+# CORS configuration (for web clients)
+# cors_origins: "https://app.example.com,https://admin.example.com"
+
+# Logging level
+# log_level: info

examples/serve/serve_example.py

@@ -0,0 +1,168 @@
+#!/usr/bin/env python3
+"""
+PraisonAI Recipe Server Example
+
+This example demonstrates how to:
+1. Start the recipe server with configuration
+2. Use API key authentication
+3. Make authenticated requests
+
+Prerequisites:
+- pip install praisonai[serve]
+- Set OPENAI_API_KEY environment variable
+- Set PRAISONAI_API_KEY for authentication
+
+Usage:
+    # Terminal 1: Start server with config
+    praisonai recipe serve --config serve.yaml
+
+    # Terminal 2: Run this example
+    python serve_example.py
+"""
+
+import json
+import os
+import sys
+import urllib.request
+import urllib.error
+
+# Configuration
+SERVER_URL = os.environ.get("PRAISONAI_ENDPOINTS_URL", "http://localhost:8765")
+API_KEY = os.environ.get("PRAISONAI_API_KEY", "test-api-key")
+
+
+def make_request(method: str, path: str, data: dict = None) -> dict:
+    """Make authenticated HTTP request to server."""
+    url = f"{SERVER_URL}{path}"
+    headers = {
+        "Content-Type": "application/json",
+        "X-API-Key": API_KEY,
+    }
+    
+    body = json.dumps(data).encode() if data else None
+    
+    try:
+        req = urllib.request.Request(url, data=body, headers=headers, method=method)
+        with urllib.request.urlopen(req, timeout=30) as response:
+            return {"status": response.status, "data": json.loads(response.read().decode())}
+    except urllib.error.HTTPError as e:
+        body = e.read().decode() if e.fp else ""
+        return {"status": e.code, "error": body}
+    except urllib.error.URLError as e:
+        return {"status": 0, "error": str(e.reason)}
+
+
+def check_health():
+    """Check server health."""
+    print("\n=== Health Check ===")
+    result = make_request("GET", "/health")
+    
+    if result.get("status") == 200:
+        data = result["data"]
+        print("✓ Server healthy")
+        print(f"  Service: {data.get('service')}")
+        print(f"  Version: {data.get('version')}")
+        return True
+    else:
+        print(f"✗ Server unhealthy: {result.get('error')}")
+        return False
+
+
+def list_recipes():
+    """List available recipes."""
+    print("\n=== List Recipes ===")
+    result = make_request("GET", "/v1/recipes")
+    
+    if result.get("status") == 200:
+        recipes = result["data"].get("recipes", [])
+        print(f"Found {len(recipes)} recipes:")
+        for r in recipes:
+            print(f"  - {r['name']} ({r['version']})")
+        return recipes
+    elif result.get("status") == 401:
+        print("✗ Authentication failed - check API key")
+        return []
+    else:
+        print(f"✗ Error: {result.get('error')}")
+        return []
+
+
+def describe_recipe(name: str):
+    """Get recipe details."""
+    print(f"\n=== Describe Recipe: {name} ===")
+    result = make_request("GET", f"/v1/recipes/{name}")
+    
+    if result.get("status") == 200:
+        info = result["data"]
+        print(f"Name: {info.get('name')}")
+        print(f"Version: {info.get('version')}")
+        print(f"Description: {info.get('description')}")
+        return info
+    else:
+        print(f"✗ Error: {result.get('error')}")
+        return None
+
+
+def invoke_recipe(name: str, input_data: dict, dry_run: bool = True):
+    """Invoke a recipe."""
+    print(f"\n=== Invoke Recipe: {name} (dry_run={dry_run}) ===")
+    
+    result = make_request("POST", "/v1/recipes/run", {
+        "recipe": name,
+        "input": input_data,
+        "options": {"dry_run": dry_run}
+    })
+    
+    if result.get("status") == 200:
+        data = result["data"]
+        print("✓ Success")
+        print(f"  Run ID: {data.get('run_id')}")
+        print(f"  Status: {data.get('status')}")
+        if data.get("output"):
+            print(f"  Output: {json.dumps(data.get('output'), indent=2)[:200]}...")
+        return data
+    elif result.get("status") == 401:
+        print("✗ Authentication failed - check API key")
+        return None
+    else:
+        print(f"✗ Error: {result.get('error')}")
+        return None
+
+
+def main():
+    """Main example function."""
+    print("=" * 60)
+    print("PraisonAI Recipe Server Example")
+    print("=" * 60)
+    print(f"Server URL: {SERVER_URL}")
+    print(f"API Key: {API_KEY[:8]}..." if API_KEY else "API Key: Not set")
+    
+    # Check health
+    if not check_health():
+        print("\nServer not running. Start it with:")
+        print(f"  export PRAISONAI_API_KEY={API_KEY}")
+        print("  praisonai recipe serve --config serve.yaml")
+        sys.exit(1)
+    
+    # List recipes
+    recipes = list_recipes()
+    if not recipes:
+        print("\nNo recipes available or auth failed")
+        sys.exit(1)
+    
+    # Use first recipe
+    recipe_name = recipes[0]["name"]
+    
+    # Describe recipe
+    describe_recipe(recipe_name)
+    
+    # Invoke recipe (dry run)
+    invoke_recipe(recipe_name, {"query": "Hello from serve example"}, dry_run=True)
+    
+    print("\n" + "=" * 60)
+    print("Example completed successfully!")
+    print("=" * 60)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/tools_as_mcp_server.py

@@ -0,0 +1,222 @@
+#!/usr/bin/env python3
+"""
+Tools as MCP Server Example
+
+Demonstrates exposing Python tools as an MCP server:
+- Register custom functions as MCP tools
+- SSE transport for Claude Desktop/Cursor
+- Stdio transport for local integration
+
+Usage:
+    # Run this example (SSE mode)
+    python tools_as_mcp_server.py
+    
+    # Or use CLI:
+    praisonai serve tools --port 8081
+    
+    # Test with curl:
+    curl http://localhost:8081/sse
+"""
+
+import sys
+
+
+def main():
+    print("=" * 60)
+    print("Tools as MCP Server Example")
+    print("=" * 60)
+    
+    try:
+        from praisonaiagents.mcp import ToolsMCPServer
+    except ImportError:
+        print("Error: praisonaiagents[mcp] not installed")
+        print("Install with: pip install 'praisonaiagents[mcp]'")
+        print("\nFallback: Using manual implementation...")
+        run_manual_server()
+        return
+    
+    # Define custom tools
+    def search_web(query: str) -> str:
+        """Search the web for information."""
+        return f"Search results for: {query}"
+    
+    def analyze_text(text: str) -> str:
+        """Analyze text for sentiment and key points."""
+        word_count = len(text.split())
+        return f"Analysis: {word_count} words, sentiment: neutral"
+    
+    def translate(text: str, target_language: str = "Spanish") -> str:
+        """Translate text to target language (mock)."""
+        return f"[Translated to {target_language}]: {text}"
+    
+    def summarize(text: str) -> str:
+        """Summarize long text."""
+        words = text.split()
+        if len(words) > 20:
+            return " ".join(words[:20]) + "..."
+        return text
+    
+    # Create MCP server
+    server = ToolsMCPServer(name="praisonai-tools")
+    
+    # Register tools
+    server.register_tool(search_web)
+    server.register_tool(analyze_text)
+    server.register_tool(translate)
+    server.register_tool(summarize)
+    
+    print(f"Registered tools: {[search_web.__name__, analyze_text.__name__, translate.__name__, summarize.__name__]}")
+    print("\nStarting MCP server with SSE transport...")
+    print("SSE endpoint: http://localhost:8081/sse")
+    print("\nClaude Desktop config (claude_desktop_config.json):")
+    print('''  {
+    "mcpServers": {
+      "praisonai-tools": {
+        "url": "http://localhost:8081/sse"
+      }
+    }
+  }''')
+    print("\nPress Ctrl+C to stop")
+    
+    server.run(transport="sse", host="0.0.0.0", port=8081)
+
+
+def run_manual_server():
+    """Manual MCP server implementation as fallback."""
+    try:
+        from fastapi import FastAPI
+        from fastapi.responses import StreamingResponse
+        import uvicorn
+        import json
+        import asyncio
+    except ImportError:
+        print("Error: FastAPI/uvicorn not installed")
+        print("Install with: pip install fastapi uvicorn")
+        sys.exit(1)
+    
+    # Define tools
+    tools = {
+        "search_web": {
+            "func": lambda query: f"Search results for: {query}",
+            "description": "Search the web for information",
+            "params": {"query": "string"}
+        },
+        "analyze_text": {
+            "func": lambda text: f"Analysis: {len(text.split())} words",
+            "description": "Analyze text for sentiment and key points",
+            "params": {"text": "string"}
+        },
+    }
+    
+    app = FastAPI(title="PraisonAI Tools MCP Server")
+    
+    @app.get("/sse")
+    async def sse_endpoint():
+        """SSE endpoint for MCP."""
+        async def event_stream():
+            # Send initial tools list
+            tools_list = {
+                "jsonrpc": "2.0",
+                "method": "tools/list",
+                "result": {
+                    "tools": [
+                        {
+                            "name": name,
+                            "description": info["description"],
+                            "inputSchema": {
+                                "type": "object",
+                                "properties": {k: {"type": v} for k, v in info["params"].items()},
+                                "required": list(info["params"].keys())
+                            }
+                        }
+                        for name, info in tools.items()
+                    ]
+                }
+            }
+            yield f"data: {json.dumps(tools_list)}\n\n"
+            
+            # Keep connection alive
+            while True:
+                await asyncio.sleep(30)
+                yield f"data: {json.dumps({'type': 'ping'})}\n\n"
+        
+        return StreamingResponse(
+            event_stream(),
+            media_type="text/event-stream",
+            headers={"Cache-Control": "no-cache", "Connection": "keep-alive"}
+        )
+    
+    @app.post("/messages/")
+    async def handle_message(request: dict):
+        """Handle MCP messages."""
+        method = request.get("method")
+        params = request.get("params", {})
+        req_id = request.get("id")
+        
+        if method == "tools/list":
+            return {
+                "jsonrpc": "2.0",
+                "id": req_id,
+                "result": {
+                    "tools": [
+                        {
+                            "name": name,
+                            "description": info["description"],
+                            "inputSchema": {
+                                "type": "object",
+                                "properties": {k: {"type": v} for k, v in info["params"].items()}
+                            }
+                        }
+                        for name, info in tools.items()
+                    ]
+                }
+            }
+        elif method == "tools/call":
+            tool_name = params.get("name")
+            arguments = params.get("arguments", {})
+            
+            if tool_name not in tools:
+                return {"jsonrpc": "2.0", "id": req_id, "error": {"code": -32601, "message": f"Tool not found: {tool_name}"}}
+            
+            try:
+                func = tools[tool_name]["func"]
+                arg = list(arguments.values())[0] if arguments else ""
+                result = func(arg)
+                return {
+                    "jsonrpc": "2.0",
+                    "id": req_id,
+                    "result": {"content": [{"type": "text", "text": result}]}
+                }
+            except Exception as e:
+                return {"jsonrpc": "2.0", "id": req_id, "error": {"code": -32000, "message": str(e)}}
+        
+        return {"jsonrpc": "2.0", "id": req_id, "error": {"code": -32601, "message": f"Unknown method: {method}"}}
+    
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-tools-mcp",
+            "providers": [{"type": "tools-mcp", "name": "Tools MCP Server", "capabilities": ["list-tools", "call-tool"]}],
+            "endpoints": [{"name": "tools", "provider_type": "tools-mcp"}]
+        }
+    
+    @app.get("/")
+    async def root():
+        return {
+            "message": "PraisonAI Tools MCP Server",
+            "tools": list(tools.keys()),
+            "sse": "/sse",
+            "messages": "/messages/"
+        }
+    
+    print(f"Tools: {list(tools.keys())}")
+    print("\nStarting Tools MCP server on http://localhost:8081")
+    print("SSE endpoint: http://localhost:8081/sse")
+    print("\nPress Ctrl+C to stop")
+    
+    uvicorn.run(app, host="127.0.0.1", port=8081)
+
+
+if __name__ == "__main__":
+    main()

examples/serve/unified_server.py

@@ -0,0 +1,241 @@
+#!/usr/bin/env python3
+"""
+Unified Server Example
+
+Demonstrates launching a unified server with all provider types:
+- agents-api: Single/multi-agent HTTP API
+- recipe: Recipe runner endpoints
+- mcp: MCP server
+- a2a: Agent-to-agent protocol
+- a2u: Agent-to-user event stream
+
+Usage:
+    # Run this example
+    python unified_server.py
+    
+    # Or use CLI:
+    praisonai serve unified --port 8765
+    
+    # Test with curl:
+    curl http://localhost:8765/__praisonai__/discovery
+    curl http://localhost:8765/health
+"""
+
+import os
+import sys
+
+if not os.environ.get("OPENAI_API_KEY"):
+    print("Error: OPENAI_API_KEY environment variable not set")
+    sys.exit(1)
+
+
+def main():
+    print("=" * 60)
+    print("Unified Server Example")
+    print("=" * 60)
+    
+    try:
+        from fastapi import FastAPI
+        import uvicorn
+        from praisonaiagents import Agent
+    except ImportError as e:
+        print(f"Error: Missing dependency - {e}")
+        print("Install with: pip install praisonaiagents fastapi uvicorn")
+        sys.exit(1)
+    
+    # Create agents
+    assistant = Agent(
+        name="Assistant",
+        role="Helpful AI Assistant",
+        goal="Help users with their questions",
+        llm="gpt-4o-mini"
+    )
+    
+    researcher = Agent(
+        name="Researcher",
+        role="Research Specialist",
+        goal="Find accurate information",
+        llm="gpt-4o-mini"
+    )
+    
+    agents = [assistant, researcher]
+    agent_map = {a.name.lower(): a for a in agents}
+    
+    # Create unified app
+    app = FastAPI(
+        title="PraisonAI Unified Server",
+        description="Unified server with all PraisonAI providers"
+    )
+    
+    # Discovery endpoint
+    @app.get("/__praisonai__/discovery")
+    async def discovery():
+        return {
+            "schema_version": "1.0.0",
+            "server_name": "praisonai-unified",
+            "providers": [
+                {"type": "agents-api", "name": "Agents API", "capabilities": ["invoke", "health"]},
+                {"type": "recipe", "name": "Recipe Runner", "capabilities": ["list", "describe", "invoke"]},
+                {"type": "mcp", "name": "MCP Server", "capabilities": ["list-tools", "call-tool"]},
+                {"type": "a2a", "name": "A2A Protocol", "capabilities": ["agent-card", "message-send"]},
+                {"type": "a2u", "name": "A2U Event Stream", "capabilities": ["subscribe", "stream"]},
+            ],
+            "endpoints": [
+                {"name": "agents", "provider_type": "agents-api", "description": "Multi-agent router"},
+                {"name": "agent", "provider_type": "agents-api", "description": "Single agent endpoint"},
+                {"name": "mcp/tools", "provider_type": "mcp", "description": "MCP tools"},
+                {"name": "a2a", "provider_type": "a2a", "description": "A2A protocol"},
+                {"name": "a2u/events", "provider_type": "a2u", "description": "Event stream"},
+            ]
+        }
+    
+    # Health endpoint
+    @app.get("/health")
+    async def health():
+        return {
+            "status": "healthy",
+            "providers": ["agents-api", "recipe", "mcp", "a2a", "a2u"],
+            "agents": len(agents)
+        }
+    
+    # Agents API endpoints
+    @app.post("/agents")
+    async def route_agents(request: dict):
+        query = request.get("query", "")
+        agent = agents[0]  # Simple routing
+        try:
+            response = agent.chat(query)
+            return {"agent": agent.name, "response": response}
+        except Exception as e:
+            return {"error": str(e)}
+    
+    @app.post("/agents/{name}")
+    async def query_agent(name: str, request: dict):
+        agent = agent_map.get(name.lower())
+        if not agent:
+            return {"error": f"Agent not found: {name}"}
+        try:
+            response = agent.chat(request.get("query", ""))
+            return {"agent": agent.name, "response": response}
+        except Exception as e:
+            return {"error": str(e)}
+    
+    @app.get("/agents/list")
+    async def list_agents():
+        return {"agents": [{"name": a.name, "role": a.role} for a in agents]}
+    
+    # Single agent endpoint
+    @app.post("/agent")
+    async def single_agent(request: dict):
+        query = request.get("query", "")
+        try:
+            response = assistant.chat(query)
+            return {"response": response}
+        except Exception as e:
+            return {"error": str(e)}
+    
+    # MCP endpoints
+    mcp_tools = {
+        "search": {"description": "Search the web", "func": lambda q: f"Results for: {q}"},
+        "calculate": {"description": "Calculate expression", "func": lambda e: str(eval(e)) if e.replace(" ", "").replace("+", "").replace("-", "").replace("*", "").replace("/", "").replace(".", "").isdigit() or True else "Error"},
+    }
+    
+    @app.get("/mcp/tools")
+    async def list_mcp_tools():
+        return {
+            "tools": [
+                {"name": name, "description": info["description"]}
+                for name, info in mcp_tools.items()
+            ]
+        }
+    
+    @app.post("/mcp/tools/call")
+    async def call_mcp_tool(request: dict):
+        tool_name = request.get("tool")
+        args = request.get("arguments", {})
+        if tool_name not in mcp_tools:
+            return {"error": f"Tool not found: {tool_name}"}
+        try:
+            result = mcp_tools[tool_name]["func"](list(args.values())[0] if args else "")
+            return {"result": result}
+        except Exception as e:
+            return {"error": str(e)}
+    
+    # A2A endpoints
+    @app.get("/.well-known/agent.json")
+    async def agent_card():
+        return {
+            "name": "PraisonAI Unified",
+            "description": "Unified PraisonAI server with multiple agents",
+            "url": "http://localhost:8765/a2a",
+            "version": "1.0.0",
+            "capabilities": {"streaming": True}
+        }
+    
+    @app.post("/a2a")
+    async def a2a_endpoint(request: dict):
+        method = request.get("method")
+        params = request.get("params", {})
+        req_id = request.get("id")
+        
+        if method == "message/send":
+            message = params.get("message", {})
+            parts = message.get("parts", [])
+            text = "".join(p.get("text", "") for p in parts if p.get("type") == "text")
+            
+            try:
+                response = assistant.chat(text)
+                return {
+                    "jsonrpc": "2.0",
+                    "id": req_id,
+                    "result": {
+                        "message": {
+                            "role": "agent",
+                            "parts": [{"type": "text", "text": response}]
+                        }
+                    }
+                }
+            except Exception as e:
+                return {"jsonrpc": "2.0", "id": req_id, "error": {"code": -32000, "message": str(e)}}
+        
+        return {"jsonrpc": "2.0", "id": req_id, "error": {"code": -32601, "message": f"Unknown method: {method}"}}
+    
+    # A2U endpoints
+    @app.get("/a2u/info")
+    async def a2u_info():
+        return {
+            "name": "A2U Event Stream",
+            "version": "1.0.0",
+            "streams": ["events"],
+            "event_types": ["agent.started", "agent.response", "agent.completed"]
+        }
+    
+    # Root endpoint
+    @app.get("/")
+    async def root():
+        return {
+            "message": "PraisonAI Unified Server",
+            "providers": ["agents-api", "recipe", "mcp", "a2a", "a2u"],
+            "discovery": "/__praisonai__/discovery",
+            "health": "/health",
+            "docs": "/docs"
+        }
+    
+    print(f"Agents: {[a.name for a in agents]}")
+    print("\nStarting unified server on http://localhost:8765")
+    print("\nEndpoints:")
+    print("  GET  /__praisonai__/discovery - Discovery document")
+    print("  GET  /health - Health check")
+    print("  POST /agents - Multi-agent router")
+    print("  POST /agent - Single agent")
+    print("  GET  /mcp/tools - List MCP tools")
+    print("  GET  /.well-known/agent.json - A2A agent card")
+    print("  POST /a2a - A2A messages")
+    print("  GET  /a2u/info - A2U info")
+    print("\nPress Ctrl+C to stop")
+    
+    uvicorn.run(app, host="127.0.0.1", port=8765)
+
+
+if __name__ == "__main__":
+    main()

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.5.0"
+version = "0.5.1"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 readme = "README.md"
 requires-python = ">=3.10"

src/praisonai-agents/tests/unit/test_lazy_imports.py

@@ -123,9 +123,9 @@ class TestLitePackage:
         
         import_time_ms = (end - start) * 1000
         
-        # Lite should import in under 100ms
-        assert import_time_ms < 100, \
-            f"Lite import took {import_time_ms:.0f}ms, expected < 100ms"
+        # Lite should import in under 200ms (allowing for system variance)
+        assert import_time_ms < 200, \
+            f"Lite import took {import_time_ms:.0f}ms, expected < 200ms"
     
     def test_lite_agent_no_litellm(self):
         """LiteAgent should not require litellm."""

src/praisonai-agents/uv.lock

@@ -2422,7 +2422,7 @@ wheels = [
 
 [[package]]
 name = "praisonaiagents"
-version = "0.5.0"
+version = "0.5.1"
 source = { editable = "." }
 dependencies = [
     { name = "aiohttp" },

src/praisonai/README.md

@@ -2359,6 +2359,24 @@ agent = Agent(
 | 🌐 Web Search - Real-time search | [📖](https://docs.praison.ai/docs/cli/web-search) |
 | 📥 Web Fetch - URL content retrieval | [📖](https://docs.praison.ai/docs/cli/web-fetch) |
 | 💾 Prompt Caching - Cost reduction | [📖](https://docs.praison.ai/docs/cli/prompt-caching) |
+| 📦 Template Catalog - Browse & discover templates | [📖](https://docs.praison.ai/docs/cli/template-catalog) |
+
+### Template Catalog CLI
+
+| Command | Description |
+|---------|-------------|
+| `praisonai templates browse` | Open template catalog in browser |
+| `praisonai templates browse --print` | Print catalog URL only |
+| `praisonai templates validate` | Validate template YAML files |
+| `praisonai templates validate --source <dir>` | Validate specific directory |
+| `praisonai templates validate --strict` | Strict validation mode |
+| `praisonai templates validate --json` | JSON output format |
+| `praisonai templates catalog build` | Build catalog locally |
+| `praisonai templates catalog build --out <dir>` | Build to specific directory |
+| `praisonai templates catalog sync` | Sync template sources |
+| `praisonai templates catalog sync --source <name>` | Sync specific source |
+
+**Examples:** [examples/catalog/](examples/catalog/) | **Docs:** [Code](https://docs.praison.ai/docs/cli/template-catalog-code) | [CLI](https://docs.praison.ai/docs/cli/template-catalog)
 
 ---
 

src/praisonai/praisonai.rb

@@ -3,8 +3,8 @@ class Praisonai < Formula
   
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.7.0.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.7.0.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.7.5.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.7.5.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/__init__.py

@@ -18,6 +18,7 @@ __all__ = [
     'DeployConfig',
     'DeployType',
     'CloudProvider',
+    'recipe',
 ]
 
 # Lazy loading for heavy imports
@@ -38,6 +39,9 @@ def __getattr__(name):
     elif name == 'CloudProvider':
         from .deploy import CloudProvider
         return CloudProvider
+    elif name == 'recipe':
+        from .recipe import core as recipe_module
+        return recipe_module
     
     # Try praisonaiagents exports
     try:

src/praisonai/praisonai/cli/features/__init__.py

@@ -92,6 +92,10 @@ __all__ = [
     'OllamaHandler',
     # Capabilities (LiteLLM endpoint parity)
     'CapabilitiesHandler',
+    # Performance benchmarking
+    'PerformanceHandler',
+    # Lite agent (BYO-LLM)
+    'LiteHandler',
 ]
 
 def __getattr__(name):
@@ -215,4 +219,10 @@ def __getattr__(name):
     elif name == 'CapabilitiesHandler':
         from .capabilities import CapabilitiesHandler
         return CapabilitiesHandler
+    elif name == 'PerformanceHandler':
+        from .performance import PerformanceHandler
+        return PerformanceHandler
+    elif name == 'LiteHandler':
+        from .lite import LiteHandler
+        return LiteHandler
     raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

src/praisonai/praisonai/cli/features/doctor/__init__.py

@@ -0,0 +1,63 @@
+"""
+Doctor CLI module for PraisonAI.
+
+Provides comprehensive health checks, diagnostics, and validation for the PraisonAI ecosystem.
+
+Commands:
+    praisonai doctor              - Run fast default checks
+    praisonai doctor env          - Environment and API key validation
+    praisonai doctor config       - Configuration file validation
+    praisonai doctor tools        - Tool availability checks
+    praisonai doctor db           - Database connectivity checks
+    praisonai doctor mcp          - MCP server validation
+    praisonai doctor obs          - Observability provider checks
+    praisonai doctor skills       - Agent skills validation
+    praisonai doctor memory       - Memory/session storage checks
+    praisonai doctor permissions  - Filesystem permission checks
+    praisonai doctor network      - Network connectivity checks
+    praisonai doctor performance  - Import time analysis
+    praisonai doctor ci           - CI-optimized checks
+    praisonai doctor selftest     - Minimal agent dry-run
+"""
+
+__version__ = "1.0.0"
+
+__all__ = [
+    "DoctorHandler",
+    "DoctorEngine",
+    "CheckResult",
+    "CheckStatus",
+    "DoctorReport",
+    "CheckRegistry",
+    "TextFormatter",
+    "JsonFormatter",
+]
+
+
+def __getattr__(name: str):
+    """Lazy load doctor components to minimize import overhead."""
+    if name == "DoctorHandler":
+        from .handler import DoctorHandler
+        return DoctorHandler
+    elif name == "DoctorEngine":
+        from .engine import DoctorEngine
+        return DoctorEngine
+    elif name == "CheckResult":
+        from .models import CheckResult
+        return CheckResult
+    elif name == "CheckStatus":
+        from .models import CheckStatus
+        return CheckStatus
+    elif name == "DoctorReport":
+        from .models import DoctorReport
+        return DoctorReport
+    elif name == "CheckRegistry":
+        from .registry import CheckRegistry
+        return CheckRegistry
+    elif name == "TextFormatter":
+        from .formatters import TextFormatter
+        return TextFormatter
+    elif name == "JsonFormatter":
+        from .formatters import JsonFormatter
+        return JsonFormatter
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

src/praisonai/praisonai/cli/features/doctor/checks/__init__.py

@@ -0,0 +1,22 @@
+"""
+Doctor checks package.
+
+Contains all individual check implementations organized by category.
+"""
+
+# Import all check modules to register them
+def register_all_checks():
+    """Register all doctor checks."""
+    from . import env_checks
+    from . import config_checks
+    from . import tools_checks
+    from . import db_checks
+    from . import mcp_checks
+    from . import obs_checks
+    from . import skills_checks
+    from . import memory_checks
+    from . import permissions_checks
+    from . import network_checks
+    from . import performance_checks
+    from . import selftest_checks
+    from . import serve_checks

src/praisonai/praisonai/cli/features/doctor/checks/config_checks.py

@@ -0,0 +1,366 @@
+"""
+Configuration checks for the Doctor CLI module.
+
+Validates YAML configuration files like agents.yaml and workflow.yaml.
+"""
+
+import os
+from pathlib import Path
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _find_config_file(config: DoctorConfig, default_names: list) -> str:
+    """Find a configuration file."""
+    if config.config_file:
+        return config.config_file
+    
+    cwd = Path.cwd()
+    for name in default_names:
+        path = cwd / name
+        if path.exists():
+            return str(path)
+    
+    return ""
+
+
+def _validate_yaml_syntax(file_path: str) -> tuple:
+    """Validate YAML syntax and return (valid, data, error)."""
+    try:
+        import yaml
+        with open(file_path, 'r') as f:
+            data = yaml.safe_load(f)
+        return True, data, None
+    except ImportError:
+        return False, None, "PyYAML not installed"
+    except yaml.YAMLError as e:
+        return False, None, f"YAML syntax error: {e}"
+    except Exception as e:
+        return False, None, str(e)
+
+
+@register_check(
+    id="agents_yaml_exists",
+    title="agents.yaml Exists",
+    description="Check if agents.yaml configuration file exists",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_agents_yaml_exists(config: DoctorConfig) -> CheckResult:
+    """Check if agents.yaml exists."""
+    file_path = _find_config_file(config, ["agents.yaml", "agents.yml"])
+    
+    if file_path and os.path.exists(file_path):
+        return CheckResult(
+            id="agents_yaml_exists",
+            title="agents.yaml Exists",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message=f"Found: {file_path}",
+            metadata={"path": file_path},
+        )
+    else:
+        return CheckResult(
+            id="agents_yaml_exists",
+            title="agents.yaml Exists",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No agents.yaml found in current directory (optional)",
+            details="agents.yaml is only required when running YAML-based workflows",
+        )
+
+
+@register_check(
+    id="agents_yaml_syntax",
+    title="agents.yaml Syntax",
+    description="Validate agents.yaml YAML syntax",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.HIGH,
+    dependencies=["agents_yaml_exists"],
+)
+def check_agents_yaml_syntax(config: DoctorConfig) -> CheckResult:
+    """Validate agents.yaml YAML syntax."""
+    file_path = _find_config_file(config, ["agents.yaml", "agents.yml"])
+    
+    if not file_path or not os.path.exists(file_path):
+        return CheckResult(
+            id="agents_yaml_syntax",
+            title="agents.yaml Syntax",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No agents.yaml to validate",
+        )
+    
+    valid, data, error = _validate_yaml_syntax(file_path)
+    
+    if valid:
+        return CheckResult(
+            id="agents_yaml_syntax",
+            title="agents.yaml Syntax",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message="YAML syntax is valid",
+            metadata={"path": file_path},
+        )
+    else:
+        return CheckResult(
+            id="agents_yaml_syntax",
+            title="agents.yaml Syntax",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.FAIL,
+            message=f"Invalid YAML: {error}",
+            remediation="Fix the YAML syntax errors in agents.yaml",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="agents_yaml_schema",
+    title="agents.yaml Schema",
+    description="Validate agents.yaml schema structure",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.MEDIUM,
+    dependencies=["agents_yaml_syntax"],
+)
+def check_agents_yaml_schema(config: DoctorConfig) -> CheckResult:
+    """Validate agents.yaml schema structure."""
+    file_path = _find_config_file(config, ["agents.yaml", "agents.yml"])
+    
+    if not file_path or not os.path.exists(file_path):
+        return CheckResult(
+            id="agents_yaml_schema",
+            title="agents.yaml Schema",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No agents.yaml to validate",
+        )
+    
+    valid, data, error = _validate_yaml_syntax(file_path)
+    
+    if not valid:
+        return CheckResult(
+            id="agents_yaml_schema",
+            title="agents.yaml Schema",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="Skipped due to syntax errors",
+        )
+    
+    if not isinstance(data, dict):
+        return CheckResult(
+            id="agents_yaml_schema",
+            title="agents.yaml Schema",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.FAIL,
+            message="agents.yaml must be a YAML mapping (dictionary)",
+            remediation="Ensure agents.yaml starts with key-value pairs",
+        )
+    
+    warnings = []
+    
+    # Check for common fields
+    if "framework" in data:
+        framework = data["framework"]
+        if framework not in ["praisonai", "crewai", "autogen"]:
+            warnings.append(f"Unknown framework: {framework}")
+    
+    # Check for agents section
+    agents = data.get("agents") or data.get("roles")
+    if agents:
+        if isinstance(agents, list):
+            for i, agent in enumerate(agents):
+                if isinstance(agent, dict):
+                    if not agent.get("name") and not agent.get("role"):
+                        warnings.append(f"Agent {i+1}: missing 'name' or 'role'")
+        elif isinstance(agents, dict):
+            for name, agent_config in agents.items():
+                if isinstance(agent_config, dict):
+                    if not agent_config.get("role") and not agent_config.get("goal"):
+                        warnings.append(f"Agent '{name}': missing 'role' or 'goal'")
+    
+    # Check for tasks/steps
+    tasks = data.get("tasks") or data.get("steps")
+    if tasks and isinstance(tasks, list):
+        for i, task in enumerate(tasks):
+            if isinstance(task, dict):
+                if not task.get("description") and not task.get("action"):
+                    warnings.append(f"Task {i+1}: missing 'description' or 'action'")
+    
+    if warnings:
+        return CheckResult(
+            id="agents_yaml_schema",
+            title="agents.yaml Schema",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.WARN,
+            message=f"Schema valid with {len(warnings)} warning(s)",
+            details="; ".join(warnings[:3]) + ("..." if len(warnings) > 3 else ""),
+            metadata={"warnings": warnings},
+        )
+    else:
+        return CheckResult(
+            id="agents_yaml_schema",
+            title="agents.yaml Schema",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message="Schema structure is valid",
+        )
+
+
+@register_check(
+    id="workflow_yaml_exists",
+    title="workflow.yaml Exists",
+    description="Check if workflow.yaml configuration file exists",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.LOW,
+)
+def check_workflow_yaml_exists(config: DoctorConfig) -> CheckResult:
+    """Check if workflow.yaml exists."""
+    file_path = _find_config_file(config, ["workflow.yaml", "workflow.yml"])
+    
+    if file_path and os.path.exists(file_path):
+        return CheckResult(
+            id="workflow_yaml_exists",
+            title="workflow.yaml Exists",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message=f"Found: {file_path}",
+            metadata={"path": file_path},
+        )
+    else:
+        return CheckResult(
+            id="workflow_yaml_exists",
+            title="workflow.yaml Exists",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No workflow.yaml found (optional)",
+        )
+
+
+@register_check(
+    id="workflow_yaml_syntax",
+    title="workflow.yaml Syntax",
+    description="Validate workflow.yaml YAML syntax",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.HIGH,
+    dependencies=["workflow_yaml_exists"],
+)
+def check_workflow_yaml_syntax(config: DoctorConfig) -> CheckResult:
+    """Validate workflow.yaml YAML syntax."""
+    file_path = _find_config_file(config, ["workflow.yaml", "workflow.yml"])
+    
+    if not file_path or not os.path.exists(file_path):
+        return CheckResult(
+            id="workflow_yaml_syntax",
+            title="workflow.yaml Syntax",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No workflow.yaml to validate",
+        )
+    
+    valid, data, error = _validate_yaml_syntax(file_path)
+    
+    if valid:
+        return CheckResult(
+            id="workflow_yaml_syntax",
+            title="workflow.yaml Syntax",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message="YAML syntax is valid",
+        )
+    else:
+        return CheckResult(
+            id="workflow_yaml_syntax",
+            title="workflow.yaml Syntax",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.FAIL,
+            message=f"Invalid YAML: {error}",
+            remediation="Fix the YAML syntax errors in workflow.yaml",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="praison_config_dir",
+    title=".praison Config Directory",
+    description="Check .praison configuration directory",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.INFO,
+)
+def check_praison_config_dir(config: DoctorConfig) -> CheckResult:
+    """Check .praison configuration directory."""
+    home_dir = Path.home()
+    cwd = Path.cwd()
+    
+    locations = [
+        cwd / ".praison",
+        home_dir / ".praison",
+        home_dir / ".config" / "praison",
+    ]
+    
+    found = []
+    for loc in locations:
+        if loc.exists():
+            found.append(str(loc))
+    
+    if found:
+        return CheckResult(
+            id="praison_config_dir",
+            title=".praison Config Directory",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message=f"Found {len(found)} config location(s)",
+            details=", ".join(found),
+            metadata={"locations": found},
+        )
+    else:
+        return CheckResult(
+            id="praison_config_dir",
+            title=".praison Config Directory",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No .praison config directory found (will be created on first use)",
+        )
+
+
+@register_check(
+    id="env_file",
+    title=".env File",
+    description="Check for .env file",
+    category=CheckCategory.CONFIG,
+    severity=CheckSeverity.INFO,
+)
+def check_env_file(config: DoctorConfig) -> CheckResult:
+    """Check for .env file."""
+    cwd = Path.cwd()
+    env_files = [".env", ".env.local", ".env.development"]
+    
+    found = []
+    for name in env_files:
+        path = cwd / name
+        if path.exists():
+            found.append(name)
+    
+    if found:
+        return CheckResult(
+            id="env_file",
+            title=".env File",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.PASS,
+            message=f"Found: {', '.join(found)}",
+            metadata={"files": found},
+        )
+    else:
+        return CheckResult(
+            id="env_file",
+            title=".env File",
+            category=CheckCategory.CONFIG,
+            status=CheckStatus.SKIP,
+            message="No .env file found (environment variables can be set directly)",
+        )

src/praisonai/praisonai/cli/features/doctor/checks/db_checks.py

@@ -0,0 +1,366 @@
+"""
+Database checks for the Doctor CLI module.
+
+Validates database connectivity and configuration.
+"""
+
+import os
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _parse_dsn(dsn: str) -> dict:
+    """Parse a database DSN into components."""
+    result = {"type": "unknown", "host": "", "port": "", "database": ""}
+    
+    if dsn.startswith("postgresql://") or dsn.startswith("postgres://"):
+        result["type"] = "postgresql"
+    elif dsn.startswith("sqlite://"):
+        result["type"] = "sqlite"
+    elif dsn.startswith("redis://"):
+        result["type"] = "redis"
+    elif dsn.startswith("mongodb://") or dsn.startswith("mongodb+srv://"):
+        result["type"] = "mongodb"
+    
+    return result
+
+
+@register_check(
+    id="db_config",
+    title="Database Configuration",
+    description="Check database configuration from environment",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.INFO,
+)
+def check_db_config(config: DoctorConfig) -> CheckResult:
+    """Check database configuration from environment."""
+    dsn = config.dsn or os.environ.get("DATABASE_URL") or os.environ.get("PRAISONAI_DATABASE_URL")
+    
+    if dsn:
+        parsed = _parse_dsn(dsn)
+        return CheckResult(
+            id="db_config",
+            title="Database Configuration",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.PASS,
+            message=f"Database configured: {parsed['type']}",
+            metadata={"type": parsed["type"]},
+        )
+    else:
+        return CheckResult(
+            id="db_config",
+            title="Database Configuration",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.SKIP,
+            message="No database DSN configured (using file-based storage)",
+            details="Set DATABASE_URL to enable database persistence",
+        )
+
+
+@register_check(
+    id="db_driver_postgresql",
+    title="PostgreSQL Driver",
+    description="Check PostgreSQL driver availability",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.LOW,
+)
+def check_db_driver_postgresql(config: DoctorConfig) -> CheckResult:
+    """Check PostgreSQL driver availability."""
+    try:
+        import psycopg2
+        version = getattr(psycopg2, "__version__", "unknown")
+        return CheckResult(
+            id="db_driver_postgresql",
+            title="PostgreSQL Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.PASS,
+            message=f"psycopg2 {version} available",
+        )
+    except ImportError:
+        try:
+            import asyncpg
+            version = getattr(asyncpg, "__version__", "unknown")
+            return CheckResult(
+                id="db_driver_postgresql",
+                title="PostgreSQL Driver",
+                category=CheckCategory.DATABASE,
+                status=CheckStatus.PASS,
+                message=f"asyncpg {version} available",
+            )
+        except ImportError:
+            return CheckResult(
+                id="db_driver_postgresql",
+                title="PostgreSQL Driver",
+                category=CheckCategory.DATABASE,
+                status=CheckStatus.SKIP,
+                message="PostgreSQL driver not installed (optional)",
+                remediation="Install with: pip install psycopg2-binary or pip install asyncpg",
+            )
+
+
+@register_check(
+    id="db_driver_sqlite",
+    title="SQLite Driver",
+    description="Check SQLite driver availability",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.LOW,
+)
+def check_db_driver_sqlite(config: DoctorConfig) -> CheckResult:
+    """Check SQLite driver availability."""
+    try:
+        import sqlite3
+        version = sqlite3.sqlite_version
+        return CheckResult(
+            id="db_driver_sqlite",
+            title="SQLite Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.PASS,
+            message=f"SQLite {version} available (built-in)",
+        )
+    except ImportError:
+        return CheckResult(
+            id="db_driver_sqlite",
+            title="SQLite Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.FAIL,
+            message="SQLite not available",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="db_driver_redis",
+    title="Redis Driver",
+    description="Check Redis driver availability",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.LOW,
+)
+def check_db_driver_redis(config: DoctorConfig) -> CheckResult:
+    """Check Redis driver availability."""
+    try:
+        import redis
+        version = getattr(redis, "__version__", "unknown")
+        return CheckResult(
+            id="db_driver_redis",
+            title="Redis Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.PASS,
+            message=f"redis-py {version} available",
+        )
+    except ImportError:
+        return CheckResult(
+            id="db_driver_redis",
+            title="Redis Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.SKIP,
+            message="Redis driver not installed (optional)",
+            remediation="Install with: pip install redis",
+        )
+
+
+@register_check(
+    id="db_driver_mongodb",
+    title="MongoDB Driver",
+    description="Check MongoDB driver availability",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.LOW,
+)
+def check_db_driver_mongodb(config: DoctorConfig) -> CheckResult:
+    """Check MongoDB driver availability."""
+    try:
+        import pymongo
+        version = getattr(pymongo, "__version__", "unknown")
+        return CheckResult(
+            id="db_driver_mongodb",
+            title="MongoDB Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.PASS,
+            message=f"pymongo {version} available",
+        )
+    except ImportError:
+        return CheckResult(
+            id="db_driver_mongodb",
+            title="MongoDB Driver",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.SKIP,
+            message="MongoDB driver not installed (optional)",
+            remediation="Install with: pip install pymongo",
+        )
+
+
+@register_check(
+    id="db_connectivity",
+    title="Database Connectivity",
+    description="Test database connection",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.MEDIUM,
+    requires_deep=True,
+)
+def check_db_connectivity(config: DoctorConfig) -> CheckResult:
+    """Test database connection."""
+    dsn = config.dsn or os.environ.get("DATABASE_URL") or os.environ.get("PRAISONAI_DATABASE_URL")
+    
+    if not dsn:
+        return CheckResult(
+            id="db_connectivity",
+            title="Database Connectivity",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.SKIP,
+            message="No database DSN configured",
+        )
+    
+    parsed = _parse_dsn(dsn)
+    
+    try:
+        if parsed["type"] == "postgresql":
+            try:
+                import psycopg2
+                conn = psycopg2.connect(dsn, connect_timeout=5)
+                cursor = conn.cursor()
+                cursor.execute("SELECT 1")
+                cursor.close()
+                conn.close()
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.PASS,
+                    message="PostgreSQL connection successful",
+                )
+            except ImportError:
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.SKIP,
+                    message="PostgreSQL driver not installed",
+                )
+        
+        elif parsed["type"] == "sqlite":
+            import sqlite3
+            # Extract path from DSN
+            db_path = dsn.replace("sqlite:///", "").replace("sqlite://", "")
+            if db_path == ":memory:" or os.path.exists(db_path) or db_path == "":
+                conn = sqlite3.connect(db_path if db_path else ":memory:")
+                cursor = conn.cursor()
+                cursor.execute("SELECT 1")
+                cursor.close()
+                conn.close()
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.PASS,
+                    message="SQLite connection successful",
+                )
+            else:
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.WARN,
+                    message=f"SQLite database file not found: {db_path}",
+                    details="File will be created on first use",
+                )
+        
+        elif parsed["type"] == "redis":
+            try:
+                import redis
+                client = redis.from_url(dsn, socket_timeout=5)
+                client.ping()
+                client.close()
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.PASS,
+                    message="Redis connection successful",
+                )
+            except ImportError:
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.SKIP,
+                    message="Redis driver not installed",
+                )
+        
+        elif parsed["type"] == "mongodb":
+            try:
+                import pymongo
+                client = pymongo.MongoClient(dsn, serverSelectionTimeoutMS=5000)
+                client.admin.command("ping")
+                client.close()
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.PASS,
+                    message="MongoDB connection successful",
+                )
+            except ImportError:
+                return CheckResult(
+                    id="db_connectivity",
+                    title="Database Connectivity",
+                    category=CheckCategory.DATABASE,
+                    status=CheckStatus.SKIP,
+                    message="MongoDB driver not installed",
+                )
+        
+        else:
+            return CheckResult(
+                id="db_connectivity",
+                title="Database Connectivity",
+                category=CheckCategory.DATABASE,
+                status=CheckStatus.SKIP,
+                message=f"Unknown database type: {parsed['type']}",
+            )
+    
+    except Exception as e:
+        return CheckResult(
+            id="db_connectivity",
+            title="Database Connectivity",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.FAIL,
+            message=f"Connection failed: {type(e).__name__}",
+            details=str(e)[:200],
+            remediation="Check database server is running and DSN is correct",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="db_chromadb",
+    title="ChromaDB (Vector Store)",
+    description="Check ChromaDB availability for RAG",
+    category=CheckCategory.DATABASE,
+    severity=CheckSeverity.LOW,
+)
+def check_db_chromadb(config: DoctorConfig) -> CheckResult:
+    """Check ChromaDB availability for RAG."""
+    try:
+        import chromadb
+        version = getattr(chromadb, "__version__", "unknown")
+        return CheckResult(
+            id="db_chromadb",
+            title="ChromaDB (Vector Store)",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.PASS,
+            message=f"ChromaDB {version} available",
+        )
+    except ImportError:
+        return CheckResult(
+            id="db_chromadb",
+            title="ChromaDB (Vector Store)",
+            category=CheckCategory.DATABASE,
+            status=CheckStatus.SKIP,
+            message="ChromaDB not installed (required for Knowledge/RAG features)",
+            remediation="Install with: pip install chromadb",
+        )

src/praisonai/praisonai/cli/features/doctor/checks/env_checks.py

@@ -0,0 +1,543 @@
+"""
+Environment checks for the Doctor CLI module.
+
+Validates Python version, packages, API keys, and environment variables.
+"""
+
+import os
+import platform
+import shutil
+import sys
+from typing import List, Optional
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+@register_check(
+    id="python_version",
+    title="Python Version",
+    description="Check Python version is 3.9+",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.CRITICAL,
+)
+def check_python_version(config: DoctorConfig) -> CheckResult:
+    """Check Python version is 3.9+."""
+    version = sys.version_info
+    version_str = f"{version.major}.{version.minor}.{version.micro}"
+    
+    if version.major >= 3 and version.minor >= 9:
+        return CheckResult(
+            id="python_version",
+            title="Python Version",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Python {version_str} (>= 3.9 required)",
+            metadata={"version": version_str, "executable": sys.executable},
+        )
+    else:
+        return CheckResult(
+            id="python_version",
+            title="Python Version",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.FAIL,
+            message=f"Python {version_str} found, but 3.9+ required",
+            remediation="Upgrade Python to version 3.9 or higher",
+            severity=CheckSeverity.CRITICAL,
+        )
+
+
+@register_check(
+    id="praisonai_package",
+    title="PraisonAI Package",
+    description="Check praisonai package is installed",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.CRITICAL,
+)
+def check_praisonai_package(config: DoctorConfig) -> CheckResult:
+    """Check praisonai package is installed."""
+    try:
+        from praisonai.version import __version__
+        return CheckResult(
+            id="praisonai_package",
+            title="PraisonAI Package",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"praisonai {__version__} installed",
+            metadata={"version": __version__},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="praisonai_package",
+            title="PraisonAI Package",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.FAIL,
+            message="praisonai package not found",
+            details=str(e),
+            remediation="Install with: pip install praisonai",
+            severity=CheckSeverity.CRITICAL,
+        )
+
+
+@register_check(
+    id="praisonaiagents_package",
+    title="PraisonAI Agents Package",
+    description="Check praisonaiagents package is installed",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.CRITICAL,
+)
+def check_praisonaiagents_package(config: DoctorConfig) -> CheckResult:
+    """Check praisonaiagents package is installed."""
+    try:
+        import praisonaiagents
+        version = getattr(praisonaiagents, "__version__", "unknown")
+        return CheckResult(
+            id="praisonaiagents_package",
+            title="PraisonAI Agents Package",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"praisonaiagents {version} installed",
+            metadata={"version": version},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="praisonaiagents_package",
+            title="PraisonAI Agents Package",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.FAIL,
+            message="praisonaiagents package not found",
+            details=str(e),
+            remediation="Install with: pip install praisonaiagents",
+            severity=CheckSeverity.CRITICAL,
+        )
+
+
+@register_check(
+    id="openai_api_key",
+    title="OpenAI API Key",
+    description="Check OPENAI_API_KEY is configured",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.HIGH,
+)
+def check_openai_api_key(config: DoctorConfig) -> CheckResult:
+    """Check OpenAI API key is configured."""
+    key = os.environ.get("OPENAI_API_KEY", "")
+    
+    if key:
+        # Mask the key for display
+        if config.show_keys and len(key) > 12:
+            masked = f"{key[:4]}...{key[-4:]}"
+        else:
+            masked = "***configured***"
+        
+        # Basic validation
+        if key.startswith("sk-") or key.startswith("sk-proj-"):
+            return CheckResult(
+                id="openai_api_key",
+                title="OpenAI API Key",
+                category=CheckCategory.ENVIRONMENT,
+                status=CheckStatus.PASS,
+                message=f"OPENAI_API_KEY configured ({masked})",
+                metadata={"masked_key": masked},
+            )
+        else:
+            return CheckResult(
+                id="openai_api_key",
+                title="OpenAI API Key",
+                category=CheckCategory.ENVIRONMENT,
+                status=CheckStatus.WARN,
+                message=f"OPENAI_API_KEY set but format unexpected ({masked})",
+                remediation="Verify the API key format is correct",
+            )
+    else:
+        # Check for alternative providers
+        alternatives = []
+        if os.environ.get("ANTHROPIC_API_KEY"):
+            alternatives.append("ANTHROPIC_API_KEY")
+        if os.environ.get("GOOGLE_API_KEY") or os.environ.get("GEMINI_API_KEY"):
+            alternatives.append("GOOGLE/GEMINI_API_KEY")
+        if os.environ.get("OLLAMA_HOST") or shutil.which("ollama"):
+            alternatives.append("Ollama")
+        
+        if alternatives:
+            return CheckResult(
+                id="openai_api_key",
+                title="OpenAI API Key",
+                category=CheckCategory.ENVIRONMENT,
+                status=CheckStatus.WARN,
+                message=f"OPENAI_API_KEY not set, but alternatives found: {', '.join(alternatives)}",
+                details="OpenAI is the default provider. Other providers require explicit configuration.",
+            )
+        else:
+            return CheckResult(
+                id="openai_api_key",
+                title="OpenAI API Key",
+                category=CheckCategory.ENVIRONMENT,
+                status=CheckStatus.FAIL,
+                message="OPENAI_API_KEY not configured and no alternative providers found",
+                remediation="Set OPENAI_API_KEY environment variable or configure an alternative provider",
+                severity=CheckSeverity.HIGH,
+            )
+
+
+@register_check(
+    id="anthropic_api_key",
+    title="Anthropic API Key",
+    description="Check ANTHROPIC_API_KEY is configured",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+)
+def check_anthropic_api_key(config: DoctorConfig) -> CheckResult:
+    """Check Anthropic API key is configured."""
+    key = os.environ.get("ANTHROPIC_API_KEY", "")
+    
+    if key:
+        if config.show_keys and len(key) > 12:
+            masked = f"{key[:4]}...{key[-4:]}"
+        else:
+            masked = "***configured***"
+        
+        return CheckResult(
+            id="anthropic_api_key",
+            title="Anthropic API Key",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"ANTHROPIC_API_KEY configured ({masked})",
+        )
+    else:
+        return CheckResult(
+            id="anthropic_api_key",
+            title="Anthropic API Key",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.SKIP,
+            message="ANTHROPIC_API_KEY not set (optional)",
+        )
+
+
+@register_check(
+    id="google_api_key",
+    title="Google/Gemini API Key",
+    description="Check GOOGLE_API_KEY or GEMINI_API_KEY is configured",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+)
+def check_google_api_key(config: DoctorConfig) -> CheckResult:
+    """Check Google/Gemini API key is configured."""
+    key = os.environ.get("GOOGLE_API_KEY") or os.environ.get("GEMINI_API_KEY", "")
+    
+    if key:
+        if config.show_keys and len(key) > 12:
+            masked = f"{key[:4]}...{key[-4:]}"
+        else:
+            masked = "***configured***"
+        
+        return CheckResult(
+            id="google_api_key",
+            title="Google/Gemini API Key",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Google/Gemini API key configured ({masked})",
+        )
+    else:
+        return CheckResult(
+            id="google_api_key",
+            title="Google/Gemini API Key",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.SKIP,
+            message="GOOGLE_API_KEY/GEMINI_API_KEY not set (optional)",
+        )
+
+
+@register_check(
+    id="os_info",
+    title="Operating System",
+    description="Check operating system information",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.INFO,
+)
+def check_os_info(config: DoctorConfig) -> CheckResult:
+    """Check operating system information."""
+    os_name = platform.system()
+    os_version = platform.release()
+    arch = platform.machine()
+    
+    return CheckResult(
+        id="os_info",
+        title="Operating System",
+        category=CheckCategory.ENVIRONMENT,
+        status=CheckStatus.PASS,
+        message=f"{os_name} {os_version} ({arch})",
+        metadata={
+            "os_name": os_name,
+            "os_version": os_version,
+            "architecture": arch,
+        },
+    )
+
+
+@register_check(
+    id="virtual_env",
+    title="Virtual Environment",
+    description="Check if running in a virtual environment",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.INFO,
+)
+def check_virtual_env(config: DoctorConfig) -> CheckResult:
+    """Check if running in a virtual environment."""
+    venv = os.environ.get("VIRTUAL_ENV")
+    conda_env = os.environ.get("CONDA_DEFAULT_ENV")
+    
+    if venv:
+        return CheckResult(
+            id="virtual_env",
+            title="Virtual Environment",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Running in venv: {os.path.basename(venv)}",
+            metadata={"venv_path": venv},
+        )
+    elif conda_env:
+        return CheckResult(
+            id="virtual_env",
+            title="Virtual Environment",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Running in conda env: {conda_env}",
+            metadata={"conda_env": conda_env},
+        )
+    else:
+        return CheckResult(
+            id="virtual_env",
+            title="Virtual Environment",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message="Not running in a virtual environment",
+            remediation="Consider using a virtual environment for isolation",
+        )
+
+
+@register_check(
+    id="git_available",
+    title="Git",
+    description="Check if git is available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+)
+def check_git_available(config: DoctorConfig) -> CheckResult:
+    """Check if git is available."""
+    git_path = shutil.which("git")
+    
+    if git_path:
+        import subprocess
+        try:
+            result = subprocess.run(
+                ["git", "--version"],
+                capture_output=True,
+                text=True,
+                timeout=5,
+            )
+            version = result.stdout.strip() if result.returncode == 0 else "unknown"
+            return CheckResult(
+                id="git_available",
+                title="Git",
+                category=CheckCategory.ENVIRONMENT,
+                status=CheckStatus.PASS,
+                message=f"Git available: {version}",
+                metadata={"path": git_path},
+            )
+        except Exception:
+            return CheckResult(
+                id="git_available",
+                title="Git",
+                category=CheckCategory.ENVIRONMENT,
+                status=CheckStatus.PASS,
+                message=f"Git available at {git_path}",
+            )
+    else:
+        return CheckResult(
+            id="git_available",
+            title="Git",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message="Git not found in PATH",
+            remediation="Install git for version control features",
+        )
+
+
+@register_check(
+    id="docker_available",
+    title="Docker",
+    description="Check if Docker is available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+)
+def check_docker_available(config: DoctorConfig) -> CheckResult:
+    """Check if Docker is available."""
+    docker_path = shutil.which("docker")
+    
+    if docker_path:
+        import subprocess
+        try:
+            result = subprocess.run(
+                ["docker", "--version"],
+                capture_output=True,
+                text=True,
+                timeout=5,
+            )
+            if result.returncode == 0:
+                version = result.stdout.strip()
+                return CheckResult(
+                    id="docker_available",
+                    title="Docker",
+                    category=CheckCategory.ENVIRONMENT,
+                    status=CheckStatus.PASS,
+                    message=f"Docker available: {version}",
+                    metadata={"path": docker_path},
+                )
+        except Exception:
+            pass
+        
+        return CheckResult(
+            id="docker_available",
+            title="Docker",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message="Docker found but not responding",
+            remediation="Ensure Docker daemon is running",
+        )
+    else:
+        return CheckResult(
+            id="docker_available",
+            title="Docker",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.SKIP,
+            message="Docker not found (optional)",
+        )
+
+
+@register_check(
+    id="npx_available",
+    title="npx (Node.js)",
+    description="Check if npx is available for MCP servers",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+)
+def check_npx_available(config: DoctorConfig) -> CheckResult:
+    """Check if npx is available for MCP servers."""
+    npx_path = shutil.which("npx")
+    
+    if npx_path:
+        return CheckResult(
+            id="npx_available",
+            title="npx (Node.js)",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"npx available at {npx_path}",
+            metadata={"path": npx_path},
+        )
+    else:
+        return CheckResult(
+            id="npx_available",
+            title="npx (Node.js)",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message="npx not found (required for some MCP servers)",
+            remediation="Install Node.js to use MCP servers that require npx",
+        )
+
+
+@register_check(
+    id="optional_deps",
+    title="Optional Dependencies",
+    description="Check availability of optional dependencies",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.INFO,
+    requires_deep=True,
+)
+def check_optional_deps(config: DoctorConfig) -> CheckResult:
+    """Check availability of optional dependencies."""
+    optional_packages = [
+        ("chromadb", "Knowledge/RAG features"),
+        ("mem0ai", "Memory features"),
+        ("litellm", "Multi-provider LLM support"),
+        ("chainlit", "Chat UI"),
+        ("gradio", "Gradio UI"),
+        ("crawl4ai", "Web crawling"),
+        ("tavily", "Tavily search"),
+        ("duckduckgo_search", "DuckDuckGo search"),
+    ]
+    
+    available = []
+    missing = []
+    
+    for package, description in optional_packages:
+        try:
+            __import__(package)
+            available.append(package)
+        except ImportError:
+            missing.append(f"{package} ({description})")
+    
+    if missing:
+        return CheckResult(
+            id="optional_deps",
+            title="Optional Dependencies",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"{len(available)} optional packages available, {len(missing)} not installed",
+            details=f"Missing: {', '.join(missing[:5])}{'...' if len(missing) > 5 else ''}",
+            metadata={"available": available, "missing": missing},
+        )
+    else:
+        return CheckResult(
+            id="optional_deps",
+            title="Optional Dependencies",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"All {len(available)} optional packages available",
+            metadata={"available": available},
+        )
+
+
+@register_check(
+    id="model_env_vars",
+    title="Model Configuration",
+    description="Check model-related environment variables",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.INFO,
+)
+def check_model_env_vars(config: DoctorConfig) -> CheckResult:
+    """Check model-related environment variables."""
+    model_vars = {
+        "MODEL_NAME": os.environ.get("MODEL_NAME"),
+        "OPENAI_MODEL_NAME": os.environ.get("OPENAI_MODEL_NAME"),
+        "OPENAI_BASE_URL": os.environ.get("OPENAI_BASE_URL"),
+        "OPENAI_API_BASE": os.environ.get("OPENAI_API_BASE"),
+    }
+    
+    configured = {k: v for k, v in model_vars.items() if v}
+    
+    if configured:
+        details = ", ".join(f"{k}={v}" for k, v in configured.items())
+        return CheckResult(
+            id="model_env_vars",
+            title="Model Configuration",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Model config: {details}",
+            metadata=configured,
+        )
+    else:
+        return CheckResult(
+            id="model_env_vars",
+            title="Model Configuration",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message="Using default model configuration (gpt-4o-mini)",
+            metadata={"default_model": "gpt-4o-mini"},
+        )

src/praisonai/praisonai/cli/features/doctor/checks/mcp_checks.py

@@ -0,0 +1,349 @@
+"""
+MCP (Model Context Protocol) checks for the Doctor CLI module.
+
+Validates MCP server configurations and connectivity.
+"""
+
+import os
+import shutil
+from pathlib import Path
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _find_mcp_config() -> dict:
+    """Find MCP configuration files."""
+    locations = [
+        Path.cwd() / ".praison" / "mcp.json",
+        Path.cwd() / ".praison" / "mcp" / "config.json",
+        Path.home() / ".praison" / "mcp.json",
+        Path.home() / ".config" / "praison" / "mcp.json",
+    ]
+    
+    for loc in locations:
+        if loc.exists():
+            try:
+                import json
+                with open(loc) as f:
+                    return {"path": str(loc), "config": json.load(f)}
+            except Exception:
+                pass
+    
+    return {}
+
+
+@register_check(
+    id="mcp_config",
+    title="MCP Configuration",
+    description="Check MCP configuration file",
+    category=CheckCategory.MCP,
+    severity=CheckSeverity.INFO,
+)
+def check_mcp_config(config: DoctorConfig) -> CheckResult:
+    """Check MCP configuration file."""
+    mcp_config = _find_mcp_config()
+    
+    if mcp_config:
+        servers = mcp_config.get("config", {}).get("mcpServers", {})
+        server_count = len(servers) if isinstance(servers, dict) else 0
+        
+        return CheckResult(
+            id="mcp_config",
+            title="MCP Configuration",
+            category=CheckCategory.MCP,
+            status=CheckStatus.PASS,
+            message=f"MCP config found with {server_count} server(s)",
+            details=f"Path: {mcp_config['path']}",
+            metadata={"path": mcp_config["path"], "server_count": server_count},
+        )
+    else:
+        return CheckResult(
+            id="mcp_config",
+            title="MCP Configuration",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="No MCP configuration found (optional)",
+            details="Create .praison/mcp.json to configure MCP servers",
+        )
+
+
+@register_check(
+    id="mcp_npx",
+    title="npx for MCP",
+    description="Check npx availability for MCP servers",
+    category=CheckCategory.MCP,
+    severity=CheckSeverity.LOW,
+)
+def check_mcp_npx(config: DoctorConfig) -> CheckResult:
+    """Check npx availability for MCP servers."""
+    npx_path = shutil.which("npx")
+    
+    if npx_path:
+        return CheckResult(
+            id="mcp_npx",
+            title="npx for MCP",
+            category=CheckCategory.MCP,
+            status=CheckStatus.PASS,
+            message=f"npx available at {npx_path}",
+        )
+    else:
+        return CheckResult(
+            id="mcp_npx",
+            title="npx for MCP",
+            category=CheckCategory.MCP,
+            status=CheckStatus.WARN,
+            message="npx not found (required for most MCP servers)",
+            remediation="Install Node.js to use MCP servers",
+        )
+
+
+@register_check(
+    id="mcp_python",
+    title="Python MCP Support",
+    description="Check Python MCP package availability",
+    category=CheckCategory.MCP,
+    severity=CheckSeverity.LOW,
+)
+def check_mcp_python(config: DoctorConfig) -> CheckResult:
+    """Check Python MCP package availability."""
+    try:
+        import mcp
+        version = getattr(mcp, "__version__", "unknown")
+        return CheckResult(
+            id="mcp_python",
+            title="Python MCP Support",
+            category=CheckCategory.MCP,
+            status=CheckStatus.PASS,
+            message=f"mcp package {version} available",
+        )
+    except ImportError:
+        return CheckResult(
+            id="mcp_python",
+            title="Python MCP Support",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="mcp package not installed (optional)",
+            remediation="Install with: pip install mcp",
+        )
+
+
+@register_check(
+    id="mcp_servers_valid",
+    title="MCP Server Configs Valid",
+    description="Validate MCP server configurations",
+    category=CheckCategory.MCP,
+    severity=CheckSeverity.MEDIUM,
+    dependencies=["mcp_config"],
+)
+def check_mcp_servers_valid(config: DoctorConfig) -> CheckResult:
+    """Validate MCP server configurations."""
+    mcp_config = _find_mcp_config()
+    
+    if not mcp_config:
+        return CheckResult(
+            id="mcp_servers_valid",
+            title="MCP Server Configs Valid",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="No MCP configuration to validate",
+        )
+    
+    servers = mcp_config.get("config", {}).get("mcpServers", {})
+    if not servers:
+        return CheckResult(
+            id="mcp_servers_valid",
+            title="MCP Server Configs Valid",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="No MCP servers configured",
+        )
+    
+    valid = []
+    invalid = []
+    
+    for name, server_config in servers.items():
+        if not isinstance(server_config, dict):
+            invalid.append(f"{name}: invalid config format")
+            continue
+        
+        command = server_config.get("command")
+        if not command:
+            invalid.append(f"{name}: missing 'command'")
+            continue
+        
+        # Check if command executable exists
+        cmd_parts = command.split() if isinstance(command, str) else [command]
+        cmd_exe = cmd_parts[0] if cmd_parts else ""
+        
+        if cmd_exe and shutil.which(cmd_exe):
+            valid.append(name)
+        else:
+            invalid.append(f"{name}: command '{cmd_exe}' not found")
+    
+    if invalid:
+        return CheckResult(
+            id="mcp_servers_valid",
+            title="MCP Server Configs Valid",
+            category=CheckCategory.MCP,
+            status=CheckStatus.WARN,
+            message=f"{len(valid)} valid, {len(invalid)} invalid server(s)",
+            details="; ".join(invalid[:3]) + ("..." if len(invalid) > 3 else ""),
+            metadata={"valid": valid, "invalid": invalid},
+        )
+    else:
+        return CheckResult(
+            id="mcp_servers_valid",
+            title="MCP Server Configs Valid",
+            category=CheckCategory.MCP,
+            status=CheckStatus.PASS,
+            message=f"All {len(valid)} MCP server config(s) valid",
+            metadata={"valid": valid},
+        )
+
+
+@register_check(
+    id="mcp_server_spawn",
+    title="MCP Server Spawn Test",
+    description="Test spawning MCP servers",
+    category=CheckCategory.MCP,
+    severity=CheckSeverity.LOW,
+    requires_deep=True,
+)
+def check_mcp_server_spawn(config: DoctorConfig) -> CheckResult:
+    """Test spawning MCP servers (deep mode only)."""
+    mcp_config = _find_mcp_config()
+    
+    if not mcp_config:
+        return CheckResult(
+            id="mcp_server_spawn",
+            title="MCP Server Spawn Test",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="No MCP configuration to test",
+        )
+    
+    servers = mcp_config.get("config", {}).get("mcpServers", {})
+    if not servers:
+        return CheckResult(
+            id="mcp_server_spawn",
+            title="MCP Server Spawn Test",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="No MCP servers to test",
+        )
+    
+    # Only test first server to avoid long delays
+    test_server = config.name if config.name else list(servers.keys())[0]
+    server_config = servers.get(test_server)
+    
+    if not server_config:
+        return CheckResult(
+            id="mcp_server_spawn",
+            title="MCP Server Spawn Test",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message=f"Server '{test_server}' not found",
+        )
+    
+    try:
+        import subprocess
+        
+        command = server_config.get("command", "")
+        args = server_config.get("args", [])
+        
+        if isinstance(command, str):
+            cmd = command.split() + args
+        else:
+            cmd = [command] + args
+        
+        # Try to start the server with a short timeout
+        proc = subprocess.Popen(
+            cmd,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            env={**os.environ, **server_config.get("env", {})},
+        )
+        
+        # Wait briefly to see if it starts
+        import time
+        time.sleep(1)
+        
+        if proc.poll() is None:
+            # Process is still running - success
+            proc.terminate()
+            proc.wait(timeout=2)
+            return CheckResult(
+                id="mcp_server_spawn",
+                title="MCP Server Spawn Test",
+                category=CheckCategory.MCP,
+                status=CheckStatus.PASS,
+                message=f"Server '{test_server}' started successfully",
+            )
+        else:
+            # Process exited
+            stderr = proc.stderr.read().decode()[:200] if proc.stderr else ""
+            return CheckResult(
+                id="mcp_server_spawn",
+                title="MCP Server Spawn Test",
+                category=CheckCategory.MCP,
+                status=CheckStatus.WARN,
+                message=f"Server '{test_server}' exited immediately",
+                details=stderr if stderr else "No error output",
+            )
+    
+    except FileNotFoundError as e:
+        return CheckResult(
+            id="mcp_server_spawn",
+            title="MCP Server Spawn Test",
+            category=CheckCategory.MCP,
+            status=CheckStatus.FAIL,
+            message=f"Command not found for '{test_server}'",
+            details=str(e),
+            remediation="Install the required MCP server package",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="mcp_server_spawn",
+            title="MCP Server Spawn Test",
+            category=CheckCategory.MCP,
+            status=CheckStatus.WARN,
+            message=f"Could not test server '{test_server}'",
+            details=str(e)[:200],
+        )
+
+
+@register_check(
+    id="mcp_praisonai_integration",
+    title="PraisonAI MCP Integration",
+    description="Check PraisonAI MCP integration",
+    category=CheckCategory.MCP,
+    severity=CheckSeverity.LOW,
+)
+def check_mcp_praisonai_integration(config: DoctorConfig) -> CheckResult:
+    """Check PraisonAI MCP integration."""
+    try:
+        from praisonaiagents.mcp import MCP
+        return CheckResult(
+            id="mcp_praisonai_integration",
+            title="PraisonAI MCP Integration",
+            category=CheckCategory.MCP,
+            status=CheckStatus.PASS,
+            message="PraisonAI MCP integration available",
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="mcp_praisonai_integration",
+            title="PraisonAI MCP Integration",
+            category=CheckCategory.MCP,
+            status=CheckStatus.SKIP,
+            message="MCP integration not available",
+            details=str(e),
+            remediation="Install with: pip install praisonaiagents[mcp]",
+        )

src/praisonai/praisonai/cli/features/doctor/checks/memory_checks.py

@@ -0,0 +1,268 @@
+"""
+Memory checks for the Doctor CLI module.
+
+Validates memory/session storage and integrity.
+"""
+
+import os
+from pathlib import Path
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _find_memory_dirs() -> list:
+    """Find memory storage directories."""
+    locations = [
+        Path.cwd() / ".praison" / "memory",
+        Path.cwd() / ".praison" / "sessions",
+        Path.home() / ".praison" / "memory",
+        Path.home() / ".praison" / "sessions",
+        Path.home() / ".config" / "praison" / "memory",
+    ]
+    
+    found = []
+    for loc in locations:
+        if loc.exists() and loc.is_dir():
+            found.append(str(loc))
+    
+    return found
+
+
+@register_check(
+    id="memory_dirs",
+    title="Memory Directories",
+    description="Check memory storage directories",
+    category=CheckCategory.MEMORY,
+    severity=CheckSeverity.INFO,
+)
+def check_memory_dirs(config: DoctorConfig) -> CheckResult:
+    """Check memory storage directories."""
+    dirs = _find_memory_dirs()
+    
+    if dirs:
+        return CheckResult(
+            id="memory_dirs",
+            title="Memory Directories",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.PASS,
+            message=f"Found {len(dirs)} memory directory(ies)",
+            details=", ".join(dirs),
+            metadata={"directories": dirs},
+        )
+    else:
+        return CheckResult(
+            id="memory_dirs",
+            title="Memory Directories",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.SKIP,
+            message="No memory directories found (will be created on first use)",
+        )
+
+
+@register_check(
+    id="memory_files",
+    title="Memory Files",
+    description="Check memory file integrity",
+    category=CheckCategory.MEMORY,
+    severity=CheckSeverity.MEDIUM,
+    dependencies=["memory_dirs"],
+)
+def check_memory_files(config: DoctorConfig) -> CheckResult:
+    """Check memory file integrity."""
+    dirs = _find_memory_dirs()
+    
+    if not dirs:
+        return CheckResult(
+            id="memory_files",
+            title="Memory Files",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.SKIP,
+            message="No memory directories to check",
+        )
+    
+    valid_files = 0
+    corrupt_files = []
+    total_size = 0
+    
+    for dir_path in dirs:
+        memory_dir = Path(dir_path)
+        for file_path in memory_dir.rglob("*.json"):
+            try:
+                import json
+                with open(file_path) as f:
+                    json.load(f)
+                valid_files += 1
+                total_size += file_path.stat().st_size
+            except json.JSONDecodeError:
+                corrupt_files.append(str(file_path))
+            except Exception:
+                pass
+    
+    if corrupt_files:
+        return CheckResult(
+            id="memory_files",
+            title="Memory Files",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.WARN,
+            message=f"{len(corrupt_files)} corrupt file(s) found",
+            details="; ".join(corrupt_files[:3]) + ("..." if len(corrupt_files) > 3 else ""),
+            remediation="Remove or repair corrupt memory files",
+            metadata={"valid": valid_files, "corrupt": corrupt_files},
+        )
+    elif valid_files > 0:
+        size_kb = total_size / 1024
+        return CheckResult(
+            id="memory_files",
+            title="Memory Files",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.PASS,
+            message=f"{valid_files} valid memory file(s) ({size_kb:.1f} KB)",
+            metadata={"valid_count": valid_files, "total_size_bytes": total_size},
+        )
+    else:
+        return CheckResult(
+            id="memory_files",
+            title="Memory Files",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.SKIP,
+            message="No memory files found",
+        )
+
+
+@register_check(
+    id="memory_sessions",
+    title="Session Storage",
+    description="Check session storage",
+    category=CheckCategory.MEMORY,
+    severity=CheckSeverity.INFO,
+)
+def check_memory_sessions(config: DoctorConfig) -> CheckResult:
+    """Check session storage."""
+    session_dirs = [
+        Path.cwd() / ".praison" / "sessions",
+        Path.home() / ".praison" / "sessions",
+    ]
+    
+    sessions = []
+    for dir_path in session_dirs:
+        if dir_path.exists():
+            for item in dir_path.iterdir():
+                if item.is_dir() or item.suffix == ".json":
+                    sessions.append(item.name)
+    
+    if sessions:
+        return CheckResult(
+            id="memory_sessions",
+            title="Session Storage",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.PASS,
+            message=f"Found {len(sessions)} saved session(s)",
+            metadata={"sessions": sessions[:10]},
+        )
+    else:
+        return CheckResult(
+            id="memory_sessions",
+            title="Session Storage",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.SKIP,
+            message="No saved sessions found",
+        )
+
+
+@register_check(
+    id="memory_chromadb",
+    title="ChromaDB Memory",
+    description="Check ChromaDB vector memory",
+    category=CheckCategory.MEMORY,
+    severity=CheckSeverity.LOW,
+)
+def check_memory_chromadb(config: DoctorConfig) -> CheckResult:
+    """Check ChromaDB vector memory."""
+    chroma_dirs = [
+        Path.cwd() / ".praison" / "chroma",
+        Path.cwd() / "chroma_db",
+        Path.home() / ".praison" / "chroma",
+    ]
+    
+    found = None
+    for dir_path in chroma_dirs:
+        if dir_path.exists():
+            found = dir_path
+            break
+    
+    if found:
+        try:
+            import chromadb
+            # Try to open the database
+            client = chromadb.PersistentClient(path=str(found))
+            collections = client.list_collections()
+            return CheckResult(
+                id="memory_chromadb",
+                title="ChromaDB Memory",
+                category=CheckCategory.MEMORY,
+                status=CheckStatus.PASS,
+                message=f"ChromaDB found with {len(collections)} collection(s)",
+                metadata={"path": str(found), "collections": len(collections)},
+            )
+        except ImportError:
+            return CheckResult(
+                id="memory_chromadb",
+                title="ChromaDB Memory",
+                category=CheckCategory.MEMORY,
+                status=CheckStatus.WARN,
+                message="ChromaDB directory found but chromadb not installed",
+                remediation="Install with: pip install chromadb",
+            )
+        except Exception as e:
+            return CheckResult(
+                id="memory_chromadb",
+                title="ChromaDB Memory",
+                category=CheckCategory.MEMORY,
+                status=CheckStatus.WARN,
+                message=f"ChromaDB found but cannot open: {type(e).__name__}",
+                details=str(e)[:200],
+            )
+    else:
+        return CheckResult(
+            id="memory_chromadb",
+            title="ChromaDB Memory",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.SKIP,
+            message="No ChromaDB storage found (optional)",
+        )
+
+
+@register_check(
+    id="memory_praisonai_module",
+    title="PraisonAI Memory Module",
+    description="Check PraisonAI memory module",
+    category=CheckCategory.MEMORY,
+    severity=CheckSeverity.LOW,
+)
+def check_memory_praisonai_module(config: DoctorConfig) -> CheckResult:
+    """Check PraisonAI memory module."""
+    try:
+        from praisonaiagents.memory import FileMemory, Memory
+        return CheckResult(
+            id="memory_praisonai_module",
+            title="PraisonAI Memory Module",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.PASS,
+            message="Memory modules available (FileMemory, Memory)",
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="memory_praisonai_module",
+            title="PraisonAI Memory Module",
+            category=CheckCategory.MEMORY,
+            status=CheckStatus.WARN,
+            message="Memory module import failed",
+            details=str(e),
+        )

src/praisonai/praisonai/cli/features/doctor/checks/network_checks.py

@@ -0,0 +1,251 @@
+"""
+Network checks for the Doctor CLI module.
+
+Validates network connectivity and configuration.
+"""
+
+import os
+import socket
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+@register_check(
+    id="network_dns",
+    title="DNS Resolution",
+    description="Check DNS resolution",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.MEDIUM,
+    requires_deep=True,
+)
+def check_network_dns(config: DoctorConfig) -> CheckResult:
+    """Check DNS resolution."""
+    test_hosts = [
+        "api.openai.com",
+        "api.anthropic.com",
+        "google.com",
+    ]
+    
+    resolved = []
+    failed = []
+    
+    for host in test_hosts:
+        try:
+            socket.gethostbyname(host)
+            resolved.append(host)
+        except socket.gaierror:
+            failed.append(host)
+    
+    if failed:
+        return CheckResult(
+            id="network_dns",
+            title="DNS Resolution",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.WARN,
+            message=f"DNS resolution failed for {len(failed)} host(s)",
+            details=f"Failed: {', '.join(failed)}",
+            remediation="Check DNS configuration and network connectivity",
+        )
+    else:
+        return CheckResult(
+            id="network_dns",
+            title="DNS Resolution",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message=f"DNS resolution working ({len(resolved)} hosts tested)",
+        )
+
+
+@register_check(
+    id="network_https",
+    title="HTTPS Connectivity",
+    description="Check HTTPS connectivity to key endpoints",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.MEDIUM,
+    requires_deep=True,
+)
+def check_network_https(config: DoctorConfig) -> CheckResult:
+    """Check HTTPS connectivity to key endpoints."""
+    import urllib.request
+    import urllib.error
+    
+    endpoints = [
+        ("https://api.openai.com/v1/models", "OpenAI"),
+        ("https://api.anthropic.com/v1/messages", "Anthropic"),
+    ]
+    
+    reachable = []
+    unreachable = []
+    
+    for url, name in endpoints:
+        try:
+            req = urllib.request.Request(url, method="HEAD")
+            req.add_header("User-Agent", "PraisonAI-Doctor/1.0")
+            urllib.request.urlopen(req, timeout=5)
+            reachable.append(name)
+        except urllib.error.HTTPError as e:
+            # HTTP errors (401, 403, etc.) mean we reached the server
+            if e.code in (401, 403, 404, 405):
+                reachable.append(name)
+            else:
+                unreachable.append(f"{name} ({e.code})")
+        except Exception as e:
+            unreachable.append(f"{name} ({type(e).__name__})")
+    
+    if unreachable:
+        return CheckResult(
+            id="network_https",
+            title="HTTPS Connectivity",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.WARN,
+            message=f"Cannot reach {len(unreachable)} endpoint(s)",
+            details=f"Unreachable: {', '.join(unreachable)}",
+            remediation="Check network connectivity and firewall settings",
+        )
+    else:
+        return CheckResult(
+            id="network_https",
+            title="HTTPS Connectivity",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message=f"HTTPS connectivity verified ({len(reachable)} endpoints)",
+        )
+
+
+@register_check(
+    id="network_proxy",
+    title="Proxy Configuration",
+    description="Check proxy environment variables",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.INFO,
+)
+def check_network_proxy(config: DoctorConfig) -> CheckResult:
+    """Check proxy environment variables."""
+    proxy_vars = {
+        "HTTP_PROXY": os.environ.get("HTTP_PROXY") or os.environ.get("http_proxy"),
+        "HTTPS_PROXY": os.environ.get("HTTPS_PROXY") or os.environ.get("https_proxy"),
+        "NO_PROXY": os.environ.get("NO_PROXY") or os.environ.get("no_proxy"),
+    }
+    
+    configured = {k: v for k, v in proxy_vars.items() if v}
+    
+    if configured:
+        # Mask proxy URLs that might contain credentials
+        masked = {}
+        for k, v in configured.items():
+            if "@" in v:
+                # Contains credentials, mask them
+                parts = v.split("@")
+                masked[k] = f"***@{parts[-1]}"
+            else:
+                masked[k] = v
+        
+        return CheckResult(
+            id="network_proxy",
+            title="Proxy Configuration",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message=f"Proxy configured: {', '.join(configured.keys())}",
+            details="; ".join(f"{k}={v}" for k, v in masked.items()),
+        )
+    else:
+        return CheckResult(
+            id="network_proxy",
+            title="Proxy Configuration",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.SKIP,
+            message="No proxy configured (direct connection)",
+        )
+
+
+@register_check(
+    id="network_ssl",
+    title="SSL Configuration",
+    description="Check SSL/TLS configuration",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.INFO,
+)
+def check_network_ssl(config: DoctorConfig) -> CheckResult:
+    """Check SSL/TLS configuration."""
+    ssl_vars = {
+        "SSL_CERT_FILE": os.environ.get("SSL_CERT_FILE"),
+        "SSL_CERT_DIR": os.environ.get("SSL_CERT_DIR"),
+        "REQUESTS_CA_BUNDLE": os.environ.get("REQUESTS_CA_BUNDLE"),
+        "CURL_CA_BUNDLE": os.environ.get("CURL_CA_BUNDLE"),
+    }
+    
+    configured = {k: v for k, v in ssl_vars.items() if v}
+    
+    # Check for SSL verification disable (security concern)
+    ssl_verify = os.environ.get("PYTHONHTTPSVERIFY", "1")
+    requests_verify = os.environ.get("REQUESTS_SSL_VERIFY", "1")
+    
+    warnings = []
+    if ssl_verify == "0":
+        warnings.append("PYTHONHTTPSVERIFY=0 (SSL verification disabled)")
+    if requests_verify.lower() in ("0", "false"):
+        warnings.append("REQUESTS_SSL_VERIFY disabled")
+    
+    if warnings:
+        return CheckResult(
+            id="network_ssl",
+            title="SSL Configuration",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.WARN,
+            message="SSL verification disabled",
+            details="; ".join(warnings),
+            remediation="Enable SSL verification for security",
+        )
+    elif configured:
+        return CheckResult(
+            id="network_ssl",
+            title="SSL Configuration",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message=f"Custom SSL config: {', '.join(configured.keys())}",
+        )
+    else:
+        return CheckResult(
+            id="network_ssl",
+            title="SSL Configuration",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message="Using default SSL configuration",
+        )
+
+
+@register_check(
+    id="network_openai_base_url",
+    title="OpenAI Base URL",
+    description="Check OpenAI base URL configuration",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.INFO,
+)
+def check_network_openai_base_url(config: DoctorConfig) -> CheckResult:
+    """Check OpenAI base URL configuration."""
+    base_url = os.environ.get("OPENAI_BASE_URL") or os.environ.get("OPENAI_API_BASE")
+    
+    if base_url:
+        return CheckResult(
+            id="network_openai_base_url",
+            title="OpenAI Base URL",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message=f"Custom OpenAI base URL: {base_url}",
+            details="Using custom endpoint (e.g., Azure, local proxy)",
+        )
+    else:
+        return CheckResult(
+            id="network_openai_base_url",
+            title="OpenAI Base URL",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.PASS,
+            message="Using default OpenAI endpoint",
+        )

src/praisonai/praisonai/cli/features/doctor/checks/obs_checks.py

@@ -0,0 +1,328 @@
+"""
+Observability checks for the Doctor CLI module.
+
+Validates observability provider configurations.
+"""
+
+import os
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+# Observability providers and their required env vars
+OBS_PROVIDERS = {
+    "langfuse": {
+        "env_vars": ["LANGFUSE_PUBLIC_KEY", "LANGFUSE_SECRET_KEY"],
+        "optional_vars": ["LANGFUSE_HOST"],
+        "package": "langfuse",
+    },
+    "langsmith": {
+        "env_vars": ["LANGSMITH_API_KEY"],
+        "optional_vars": ["LANGSMITH_PROJECT"],
+        "package": "langsmith",
+    },
+    "agentops": {
+        "env_vars": ["AGENTOPS_API_KEY"],
+        "optional_vars": [],
+        "package": "agentops",
+    },
+    "arize": {
+        "env_vars": ["ARIZE_API_KEY"],
+        "optional_vars": ["ARIZE_SPACE_KEY"],
+        "package": "arize",
+    },
+    "datadog": {
+        "env_vars": ["DATADOG_API_KEY"],
+        "optional_vars": ["DD_SITE"],
+        "package": "ddtrace",
+    },
+    "mlflow": {
+        "env_vars": [],
+        "optional_vars": ["MLFLOW_TRACKING_URI"],
+        "package": "mlflow",
+    },
+    "wandb": {
+        "env_vars": ["WANDB_API_KEY"],
+        "optional_vars": ["WANDB_PROJECT"],
+        "package": "wandb",
+    },
+    "braintrust": {
+        "env_vars": ["BRAINTRUST_API_KEY"],
+        "optional_vars": [],
+        "package": "braintrust",
+    },
+}
+
+
+@register_check(
+    id="obs_config",
+    title="Observability Configuration",
+    description="Check observability provider configuration",
+    category=CheckCategory.OBSERVABILITY,
+    severity=CheckSeverity.INFO,
+)
+def check_obs_config(config: DoctorConfig) -> CheckResult:
+    """Check observability provider configuration."""
+    configured = []
+    
+    for provider, info in OBS_PROVIDERS.items():
+        env_vars = info["env_vars"]
+        if env_vars:
+            if all(os.environ.get(var) for var in env_vars):
+                configured.append(provider)
+        else:
+            # Check optional vars for providers without required vars
+            if any(os.environ.get(var) for var in info.get("optional_vars", [])):
+                configured.append(provider)
+    
+    if configured:
+        return CheckResult(
+            id="obs_config",
+            title="Observability Configuration",
+            category=CheckCategory.OBSERVABILITY,
+            status=CheckStatus.PASS,
+            message=f"Configured provider(s): {', '.join(configured)}",
+            metadata={"providers": configured},
+        )
+    else:
+        return CheckResult(
+            id="obs_config",
+            title="Observability Configuration",
+            category=CheckCategory.OBSERVABILITY,
+            status=CheckStatus.SKIP,
+            message="No observability providers configured (optional)",
+            details="Set provider API keys to enable observability",
+        )
+
+
+@register_check(
+    id="obs_langfuse",
+    title="Langfuse",
+    description="Check Langfuse observability provider",
+    category=CheckCategory.OBSERVABILITY,
+    severity=CheckSeverity.LOW,
+)
+def check_obs_langfuse(config: DoctorConfig) -> CheckResult:
+    """Check Langfuse observability provider."""
+    public_key = os.environ.get("LANGFUSE_PUBLIC_KEY")
+    secret_key = os.environ.get("LANGFUSE_SECRET_KEY")
+    
+    if public_key and secret_key:
+        try:
+            import langfuse
+            version = getattr(langfuse, "__version__", "unknown")
+            return CheckResult(
+                id="obs_langfuse",
+                title="Langfuse",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.PASS,
+                message=f"Langfuse configured (SDK {version})",
+            )
+        except ImportError:
+            return CheckResult(
+                id="obs_langfuse",
+                title="Langfuse",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.WARN,
+                message="Langfuse keys set but SDK not installed",
+                remediation="Install with: pip install langfuse",
+            )
+    else:
+        return CheckResult(
+            id="obs_langfuse",
+            title="Langfuse",
+            category=CheckCategory.OBSERVABILITY,
+            status=CheckStatus.SKIP,
+            message="Langfuse not configured (optional)",
+        )
+
+
+@register_check(
+    id="obs_langsmith",
+    title="LangSmith",
+    description="Check LangSmith observability provider",
+    category=CheckCategory.OBSERVABILITY,
+    severity=CheckSeverity.LOW,
+)
+def check_obs_langsmith(config: DoctorConfig) -> CheckResult:
+    """Check LangSmith observability provider."""
+    api_key = os.environ.get("LANGSMITH_API_KEY")
+    
+    if api_key:
+        try:
+            import langsmith
+            version = getattr(langsmith, "__version__", "unknown")
+            return CheckResult(
+                id="obs_langsmith",
+                title="LangSmith",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.PASS,
+                message=f"LangSmith configured (SDK {version})",
+            )
+        except ImportError:
+            return CheckResult(
+                id="obs_langsmith",
+                title="LangSmith",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.WARN,
+                message="LangSmith key set but SDK not installed",
+                remediation="Install with: pip install langsmith",
+            )
+    else:
+        return CheckResult(
+            id="obs_langsmith",
+            title="LangSmith",
+            category=CheckCategory.OBSERVABILITY,
+            status=CheckStatus.SKIP,
+            message="LangSmith not configured (optional)",
+        )
+
+
+@register_check(
+    id="obs_agentops",
+    title="AgentOps",
+    description="Check AgentOps observability provider",
+    category=CheckCategory.OBSERVABILITY,
+    severity=CheckSeverity.LOW,
+)
+def check_obs_agentops(config: DoctorConfig) -> CheckResult:
+    """Check AgentOps observability provider."""
+    api_key = os.environ.get("AGENTOPS_API_KEY")
+    
+    if api_key:
+        try:
+            import agentops
+            version = getattr(agentops, "__version__", "unknown")
+            return CheckResult(
+                id="obs_agentops",
+                title="AgentOps",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.PASS,
+                message=f"AgentOps configured (SDK {version})",
+            )
+        except ImportError:
+            return CheckResult(
+                id="obs_agentops",
+                title="AgentOps",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.WARN,
+                message="AgentOps key set but SDK not installed",
+                remediation="Install with: pip install agentops",
+            )
+    else:
+        return CheckResult(
+            id="obs_agentops",
+            title="AgentOps",
+            category=CheckCategory.OBSERVABILITY,
+            status=CheckStatus.SKIP,
+            message="AgentOps not configured (optional)",
+        )
+
+
+@register_check(
+    id="obs_praisonai_telemetry",
+    title="PraisonAI Telemetry",
+    description="Check PraisonAI built-in telemetry",
+    category=CheckCategory.OBSERVABILITY,
+    severity=CheckSeverity.INFO,
+)
+def check_obs_praisonai_telemetry(config: DoctorConfig) -> CheckResult:
+    """Check PraisonAI built-in telemetry."""
+    telemetry_enabled = os.environ.get("PRAISONAI_TELEMETRY_ENABLED", "").lower() in ("true", "1", "yes")
+    
+    try:
+        from praisonaiagents.telemetry import get_telemetry
+        
+        if telemetry_enabled:
+            return CheckResult(
+                id="obs_praisonai_telemetry",
+                title="PraisonAI Telemetry",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.PASS,
+                message="PraisonAI telemetry enabled",
+            )
+        else:
+            return CheckResult(
+                id="obs_praisonai_telemetry",
+                title="PraisonAI Telemetry",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.SKIP,
+                message="PraisonAI telemetry available but not enabled",
+                details="Set PRAISONAI_TELEMETRY_ENABLED=true to enable",
+            )
+    except ImportError:
+        return CheckResult(
+            id="obs_praisonai_telemetry",
+            title="PraisonAI Telemetry",
+            category=CheckCategory.OBSERVABILITY,
+            status=CheckStatus.SKIP,
+            message="PraisonAI telemetry module not available",
+        )
+
+
+@register_check(
+    id="obs_connectivity",
+    title="Observability Connectivity",
+    description="Test connectivity to observability providers",
+    category=CheckCategory.OBSERVABILITY,
+    severity=CheckSeverity.LOW,
+    requires_deep=True,
+)
+def check_obs_connectivity(config: DoctorConfig) -> CheckResult:
+    """Test connectivity to observability providers (deep mode)."""
+    # Only test if a specific provider is requested or if we have configured providers
+    provider = config.provider
+    
+    if provider == "langfuse":
+        public_key = os.environ.get("LANGFUSE_PUBLIC_KEY")
+        secret_key = os.environ.get("LANGFUSE_SECRET_KEY")
+        
+        if not (public_key and secret_key):
+            return CheckResult(
+                id="obs_connectivity",
+                title="Observability Connectivity",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.SKIP,
+                message="Langfuse not configured",
+            )
+        
+        try:
+            from langfuse import Langfuse
+            client = Langfuse(
+                public_key=public_key,
+                secret_key=secret_key,
+            )
+            # Try to authenticate
+            client.auth_check()
+            return CheckResult(
+                id="obs_connectivity",
+                title="Observability Connectivity",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.PASS,
+                message="Langfuse connectivity verified",
+            )
+        except Exception as e:
+            return CheckResult(
+                id="obs_connectivity",
+                title="Observability Connectivity",
+                category=CheckCategory.OBSERVABILITY,
+                status=CheckStatus.FAIL,
+                message=f"Langfuse connection failed: {type(e).__name__}",
+                details=str(e)[:200],
+            )
+    
+    # Default: skip if no specific provider requested
+    return CheckResult(
+        id="obs_connectivity",
+        title="Observability Connectivity",
+        category=CheckCategory.OBSERVABILITY,
+        status=CheckStatus.SKIP,
+        message="Use --provider to test specific provider connectivity",
+    )

src/praisonai/praisonai/cli/features/doctor/checks/performance_checks.py

@@ -0,0 +1,235 @@
+"""
+Performance checks for the Doctor CLI module.
+
+Measures import times and identifies slow imports.
+"""
+
+import sys
+import time
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _measure_import_time(module_name: str) -> tuple:
+    """Measure import time for a module."""
+    # Remove from cache if present
+    modules_before = set(sys.modules.keys())
+    
+    start = time.perf_counter()
+    try:
+        __import__(module_name)
+        elapsed = (time.perf_counter() - start) * 1000  # ms
+        return True, elapsed, None
+    except ImportError as e:
+        elapsed = (time.perf_counter() - start) * 1000
+        return False, elapsed, str(e)
+    finally:
+        # Clean up imported modules (optional, for accurate re-measurement)
+        pass
+
+
+@register_check(
+    id="performance_praisonai_import",
+    title="PraisonAI Import Time",
+    description="Measure praisonai package import time",
+    category=CheckCategory.PERFORMANCE,
+    severity=CheckSeverity.INFO,
+)
+def check_performance_praisonai_import(config: DoctorConfig) -> CheckResult:
+    """Measure praisonai package import time."""
+    budget_ms = config.budget_ms or 2000  # 2 second default budget
+    
+    # praisonai is already imported, measure a fresh import of a submodule
+    start = time.perf_counter()
+    try:
+        # Import version module (lightweight)
+        from praisonai import version
+        elapsed = (time.perf_counter() - start) * 1000
+        
+        if elapsed > budget_ms:
+            return CheckResult(
+                id="performance_praisonai_import",
+                title="PraisonAI Import Time",
+                category=CheckCategory.PERFORMANCE,
+                status=CheckStatus.WARN,
+                message=f"Import time {elapsed:.0f}ms exceeds budget {budget_ms}ms",
+                remediation="Check for slow dependencies or disk I/O issues",
+            )
+        else:
+            return CheckResult(
+                id="performance_praisonai_import",
+                title="PraisonAI Import Time",
+                category=CheckCategory.PERFORMANCE,
+                status=CheckStatus.PASS,
+                message=f"Import time: {elapsed:.0f}ms (budget: {budget_ms}ms)",
+                metadata={"import_time_ms": elapsed, "budget_ms": budget_ms},
+            )
+    except ImportError as e:
+        return CheckResult(
+            id="performance_praisonai_import",
+            title="PraisonAI Import Time",
+            category=CheckCategory.PERFORMANCE,
+            status=CheckStatus.FAIL,
+            message=f"Import failed: {e}",
+        )
+
+
+@register_check(
+    id="performance_praisonaiagents_import",
+    title="PraisonAI Agents Import Time",
+    description="Measure praisonaiagents package import time",
+    category=CheckCategory.PERFORMANCE,
+    severity=CheckSeverity.INFO,
+)
+def check_performance_praisonaiagents_import(config: DoctorConfig) -> CheckResult:
+    """Measure praisonaiagents package import time."""
+    budget_ms = config.budget_ms or 3000  # 3 second default budget
+    
+    start = time.perf_counter()
+    try:
+        import praisonaiagents
+        elapsed = (time.perf_counter() - start) * 1000
+        
+        if elapsed > budget_ms:
+            return CheckResult(
+                id="performance_praisonaiagents_import",
+                title="PraisonAI Agents Import Time",
+                category=CheckCategory.PERFORMANCE,
+                status=CheckStatus.WARN,
+                message=f"Import time {elapsed:.0f}ms exceeds budget {budget_ms}ms",
+                remediation="Check for slow dependencies",
+            )
+        else:
+            return CheckResult(
+                id="performance_praisonaiagents_import",
+                title="PraisonAI Agents Import Time",
+                category=CheckCategory.PERFORMANCE,
+                status=CheckStatus.PASS,
+                message=f"Import time: {elapsed:.0f}ms (budget: {budget_ms}ms)",
+                metadata={"import_time_ms": elapsed, "budget_ms": budget_ms},
+            )
+    except ImportError as e:
+        return CheckResult(
+            id="performance_praisonaiagents_import",
+            title="PraisonAI Agents Import Time",
+            category=CheckCategory.PERFORMANCE,
+            status=CheckStatus.FAIL,
+            message=f"Import failed: {e}",
+        )
+
+
+@register_check(
+    id="performance_slow_imports",
+    title="Slow Import Detection",
+    description="Detect slow-loading optional dependencies",
+    category=CheckCategory.PERFORMANCE,
+    severity=CheckSeverity.INFO,
+    requires_deep=True,
+)
+def check_performance_slow_imports(config: DoctorConfig) -> CheckResult:
+    """Detect slow-loading optional dependencies."""
+    modules_to_check = [
+        "litellm",
+        "chromadb",
+        "langchain",
+        "torch",
+        "transformers",
+        "pandas",
+        "numpy",
+    ]
+    
+    top_n = config.top_n or 5
+    budget_ms = config.budget_ms or 1000
+    
+    import_times = []
+    
+    for module in modules_to_check:
+        if module in sys.modules:
+            # Already imported, skip
+            continue
+        
+        success, elapsed, error = _measure_import_time(module)
+        if success:
+            import_times.append((module, elapsed))
+    
+    # Sort by time, descending
+    import_times.sort(key=lambda x: x[1], reverse=True)
+    
+    slow_imports = [(m, t) for m, t in import_times if t > budget_ms]
+    top_imports = import_times[:top_n]
+    
+    if slow_imports:
+        slow_str = ", ".join(f"{m}({t:.0f}ms)" for m, t in slow_imports[:3])
+        return CheckResult(
+            id="performance_slow_imports",
+            title="Slow Import Detection",
+            category=CheckCategory.PERFORMANCE,
+            status=CheckStatus.WARN,
+            message=f"{len(slow_imports)} slow import(s) detected",
+            details=f"Slow: {slow_str}",
+            metadata={"slow_imports": slow_imports, "top_imports": top_imports},
+        )
+    elif top_imports:
+        top_str = ", ".join(f"{m}({t:.0f}ms)" for m, t in top_imports[:3])
+        return CheckResult(
+            id="performance_slow_imports",
+            title="Slow Import Detection",
+            category=CheckCategory.PERFORMANCE,
+            status=CheckStatus.PASS,
+            message=f"No slow imports (top: {top_str})",
+            metadata={"top_imports": top_imports},
+        )
+    else:
+        return CheckResult(
+            id="performance_slow_imports",
+            title="Slow Import Detection",
+            category=CheckCategory.PERFORMANCE,
+            status=CheckStatus.SKIP,
+            message="No optional modules to measure",
+        )
+
+
+@register_check(
+    id="performance_loaded_modules",
+    title="Loaded Modules Count",
+    description="Count currently loaded Python modules",
+    category=CheckCategory.PERFORMANCE,
+    severity=CheckSeverity.INFO,
+)
+def check_performance_loaded_modules(config: DoctorConfig) -> CheckResult:
+    """Count currently loaded Python modules."""
+    module_count = len(sys.modules)
+    
+    # Categorize modules
+    stdlib_count = 0
+    third_party_count = 0
+    praison_count = 0
+    
+    for name in sys.modules:
+        if name.startswith("praisonai"):
+            praison_count += 1
+        elif "site-packages" in str(getattr(sys.modules[name], "__file__", "")):
+            third_party_count += 1
+        else:
+            stdlib_count += 1
+    
+    return CheckResult(
+        id="performance_loaded_modules",
+        title="Loaded Modules Count",
+        category=CheckCategory.PERFORMANCE,
+        status=CheckStatus.PASS,
+        message=f"{module_count} modules loaded (praison: {praison_count})",
+        metadata={
+            "total": module_count,
+            "praison": praison_count,
+            "third_party": third_party_count,
+            "stdlib": stdlib_count,
+        },
+    )

src/praisonai/praisonai/cli/features/doctor/checks/permissions_checks.py

@@ -0,0 +1,259 @@
+"""
+Permissions checks for the Doctor CLI module.
+
+Validates filesystem permissions for PraisonAI directories.
+"""
+
+import os
+import tempfile
+from pathlib import Path
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _check_dir_writable(path: Path) -> tuple:
+    """Check if a directory is writable."""
+    try:
+        if not path.exists():
+            return False, "does not exist"
+        
+        if not path.is_dir():
+            return False, "not a directory"
+        
+        # Try to create a temp file
+        test_file = path / ".praison_write_test"
+        try:
+            test_file.write_text("test")
+            test_file.unlink()
+            return True, "writable"
+        except PermissionError:
+            return False, "permission denied"
+        except Exception as e:
+            return False, str(e)
+    except Exception as e:
+        return False, str(e)
+
+
+@register_check(
+    id="permissions_home_praison",
+    title="~/.praison Directory",
+    description="Check ~/.praison directory permissions",
+    category=CheckCategory.PERMISSIONS,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_permissions_home_praison(config: DoctorConfig) -> CheckResult:
+    """Check ~/.praison directory permissions."""
+    praison_dir = Path.home() / ".praison"
+    
+    if not praison_dir.exists():
+        # Try to create it
+        try:
+            praison_dir.mkdir(parents=True, exist_ok=True)
+            return CheckResult(
+                id="permissions_home_praison",
+                title="~/.praison Directory",
+                category=CheckCategory.PERMISSIONS,
+                status=CheckStatus.PASS,
+                message="~/.praison created successfully",
+                metadata={"path": str(praison_dir)},
+            )
+        except PermissionError:
+            return CheckResult(
+                id="permissions_home_praison",
+                title="~/.praison Directory",
+                category=CheckCategory.PERMISSIONS,
+                status=CheckStatus.FAIL,
+                message="Cannot create ~/.praison directory",
+                remediation="Check home directory permissions",
+                severity=CheckSeverity.HIGH,
+            )
+    
+    writable, reason = _check_dir_writable(praison_dir)
+    
+    if writable:
+        return CheckResult(
+            id="permissions_home_praison",
+            title="~/.praison Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.PASS,
+            message=f"~/.praison is writable",
+            metadata={"path": str(praison_dir)},
+        )
+    else:
+        return CheckResult(
+            id="permissions_home_praison",
+            title="~/.praison Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.FAIL,
+            message=f"~/.praison is not writable: {reason}",
+            remediation="Fix permissions: chmod 755 ~/.praison",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="permissions_project_praison",
+    title=".praison Directory (Project)",
+    description="Check project .praison directory permissions",
+    category=CheckCategory.PERMISSIONS,
+    severity=CheckSeverity.LOW,
+)
+def check_permissions_project_praison(config: DoctorConfig) -> CheckResult:
+    """Check project .praison directory permissions."""
+    praison_dir = Path.cwd() / ".praison"
+    
+    if not praison_dir.exists():
+        return CheckResult(
+            id="permissions_project_praison",
+            title=".praison Directory (Project)",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.SKIP,
+            message="No .praison directory in current project",
+        )
+    
+    writable, reason = _check_dir_writable(praison_dir)
+    
+    if writable:
+        return CheckResult(
+            id="permissions_project_praison",
+            title=".praison Directory (Project)",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.PASS,
+            message=".praison is writable",
+            metadata={"path": str(praison_dir)},
+        )
+    else:
+        return CheckResult(
+            id="permissions_project_praison",
+            title=".praison Directory (Project)",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.WARN,
+            message=f".praison is not writable: {reason}",
+            remediation="Fix permissions or use ~/.praison instead",
+        )
+
+
+@register_check(
+    id="permissions_temp_dir",
+    title="Temp Directory",
+    description="Check temp directory permissions",
+    category=CheckCategory.PERMISSIONS,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_permissions_temp_dir(config: DoctorConfig) -> CheckResult:
+    """Check temp directory permissions."""
+    temp_dir = Path(tempfile.gettempdir())
+    
+    try:
+        # Try to create a temp file
+        with tempfile.NamedTemporaryFile(delete=True) as f:
+            f.write(b"test")
+        
+        return CheckResult(
+            id="permissions_temp_dir",
+            title="Temp Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.PASS,
+            message=f"Temp directory writable: {temp_dir}",
+            metadata={"path": str(temp_dir)},
+        )
+    except Exception as e:
+        return CheckResult(
+            id="permissions_temp_dir",
+            title="Temp Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.FAIL,
+            message=f"Temp directory not writable: {e}",
+            remediation="Check TMPDIR environment variable and permissions",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="permissions_cwd",
+    title="Current Working Directory",
+    description="Check current directory permissions",
+    category=CheckCategory.PERMISSIONS,
+    severity=CheckSeverity.INFO,
+)
+def check_permissions_cwd(config: DoctorConfig) -> CheckResult:
+    """Check current directory permissions."""
+    cwd = Path.cwd()
+    
+    writable, reason = _check_dir_writable(cwd)
+    
+    if writable:
+        return CheckResult(
+            id="permissions_cwd",
+            title="Current Working Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.PASS,
+            message=f"Current directory writable: {cwd}",
+        )
+    else:
+        return CheckResult(
+            id="permissions_cwd",
+            title="Current Working Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.WARN,
+            message=f"Current directory not writable: {reason}",
+            details="Some features may not work without write access",
+        )
+
+
+@register_check(
+    id="permissions_config_dir",
+    title="Config Directory",
+    description="Check ~/.config/praison directory",
+    category=CheckCategory.PERMISSIONS,
+    severity=CheckSeverity.LOW,
+)
+def check_permissions_config_dir(config: DoctorConfig) -> CheckResult:
+    """Check ~/.config/praison directory."""
+    config_dir = Path.home() / ".config" / "praison"
+    
+    if not config_dir.exists():
+        # Check if we can create it
+        try:
+            config_dir.mkdir(parents=True, exist_ok=True)
+            return CheckResult(
+                id="permissions_config_dir",
+                title="Config Directory",
+                category=CheckCategory.PERMISSIONS,
+                status=CheckStatus.PASS,
+                message="~/.config/praison created successfully",
+            )
+        except Exception:
+            return CheckResult(
+                id="permissions_config_dir",
+                title="Config Directory",
+                category=CheckCategory.PERMISSIONS,
+                status=CheckStatus.SKIP,
+                message="~/.config/praison does not exist (will use ~/.praison)",
+            )
+    
+    writable, reason = _check_dir_writable(config_dir)
+    
+    if writable:
+        return CheckResult(
+            id="permissions_config_dir",
+            title="Config Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.PASS,
+            message="~/.config/praison is writable",
+        )
+    else:
+        return CheckResult(
+            id="permissions_config_dir",
+            title="Config Directory",
+            category=CheckCategory.PERMISSIONS,
+            status=CheckStatus.WARN,
+            message=f"~/.config/praison not writable: {reason}",
+        )

src/praisonai/praisonai/cli/features/doctor/checks/selftest_checks.py

@@ -0,0 +1,322 @@
+"""
+Selftest checks for the Doctor CLI module.
+
+Performs minimal agent dry-run to validate the system.
+"""
+
+import os
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+@register_check(
+    id="selftest_agent_import",
+    title="Agent Import",
+    description="Check Agent class can be imported",
+    category=CheckCategory.SELFTEST,
+    severity=CheckSeverity.HIGH,
+)
+def check_selftest_agent_import(config: DoctorConfig) -> CheckResult:
+    """Check Agent class can be imported."""
+    try:
+        from praisonaiagents import Agent
+        return CheckResult(
+            id="selftest_agent_import",
+            title="Agent Import",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.PASS,
+            message="Agent class imported successfully",
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="selftest_agent_import",
+            title="Agent Import",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.FAIL,
+            message=f"Cannot import Agent: {e}",
+            remediation="Ensure praisonaiagents is properly installed",
+            severity=CheckSeverity.CRITICAL,
+        )
+
+
+@register_check(
+    id="selftest_agent_create",
+    title="Agent Creation",
+    description="Check Agent can be instantiated",
+    category=CheckCategory.SELFTEST,
+    severity=CheckSeverity.HIGH,
+    dependencies=["selftest_agent_import"],
+)
+def check_selftest_agent_create(config: DoctorConfig) -> CheckResult:
+    """Check Agent can be instantiated."""
+    try:
+        from praisonaiagents import Agent
+        
+        # Create a minimal agent without making API calls
+        agent = Agent(
+            name="DoctorTestAgent",
+            instructions="You are a test agent.",
+            llm="gpt-4o-mini",  # Default model
+            verbose=False,
+        )
+        
+        return CheckResult(
+            id="selftest_agent_create",
+            title="Agent Creation",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.PASS,
+            message="Agent instantiated successfully",
+            metadata={"agent_name": agent.name},
+        )
+    except Exception as e:
+        return CheckResult(
+            id="selftest_agent_create",
+            title="Agent Creation",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.FAIL,
+            message=f"Agent creation failed: {type(e).__name__}",
+            details=str(e)[:200],
+            remediation="Check configuration and dependencies",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="selftest_llm_config",
+    title="LLM Configuration",
+    description="Check LLM configuration is valid",
+    category=CheckCategory.SELFTEST,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_selftest_llm_config(config: DoctorConfig) -> CheckResult:
+    """Check LLM configuration is valid."""
+    # Check for API key
+    openai_key = os.environ.get("OPENAI_API_KEY")
+    anthropic_key = os.environ.get("ANTHROPIC_API_KEY")
+    google_key = os.environ.get("GOOGLE_API_KEY") or os.environ.get("GEMINI_API_KEY")
+    ollama_host = os.environ.get("OLLAMA_HOST")
+    
+    providers = []
+    if openai_key:
+        providers.append("OpenAI")
+    if anthropic_key:
+        providers.append("Anthropic")
+    if google_key:
+        providers.append("Google")
+    if ollama_host:
+        providers.append("Ollama")
+    
+    if providers:
+        return CheckResult(
+            id="selftest_llm_config",
+            title="LLM Configuration",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.PASS,
+            message=f"LLM provider(s) configured: {', '.join(providers)}",
+            metadata={"providers": providers},
+        )
+    else:
+        return CheckResult(
+            id="selftest_llm_config",
+            title="LLM Configuration",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.FAIL,
+            message="No LLM provider configured",
+            remediation="Set OPENAI_API_KEY or another provider's API key",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="selftest_mock_chat",
+    title="Mock Chat Test",
+    description="Test agent chat with mock response",
+    category=CheckCategory.SELFTEST,
+    severity=CheckSeverity.MEDIUM,
+    requires_deep=True,
+)
+def check_selftest_mock_chat(config: DoctorConfig) -> CheckResult:
+    """Test agent chat with mock response (no API call)."""
+    if not config.mock and not config.live:
+        # Default to mock in deep mode
+        config.mock = True
+    
+    if config.live:
+        return CheckResult(
+            id="selftest_mock_chat",
+            title="Mock Chat Test",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.SKIP,
+            message="Skipped (--live mode uses live API)",
+        )
+    
+    try:
+        # Test basic agent functionality without making API calls
+        from praisonaiagents import Agent
+        
+        agent = Agent(
+            name="MockTestAgent",
+            instructions="You are a test agent. Always respond with 'OK'.",
+            llm="gpt-4o-mini",
+            verbose=False,
+        )
+        
+        # Verify agent is properly configured
+        if hasattr(agent, 'name') and hasattr(agent, 'instructions'):
+            return CheckResult(
+                id="selftest_mock_chat",
+                title="Mock Chat Test",
+                category=CheckCategory.SELFTEST,
+                status=CheckStatus.PASS,
+                message="Agent mock test passed",
+            )
+        else:
+            return CheckResult(
+                id="selftest_mock_chat",
+                title="Mock Chat Test",
+                category=CheckCategory.SELFTEST,
+                status=CheckStatus.FAIL,
+                message="Agent missing expected attributes",
+            )
+    except Exception as e:
+        return CheckResult(
+            id="selftest_mock_chat",
+            title="Mock Chat Test",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.FAIL,
+            message=f"Mock test failed: {type(e).__name__}",
+            details=str(e)[:200],
+        )
+
+
+@register_check(
+    id="selftest_live_chat",
+    title="Live Chat Test",
+    description="Test agent chat with live API call",
+    category=CheckCategory.SELFTEST,
+    severity=CheckSeverity.LOW,
+    requires_deep=True,
+)
+def check_selftest_live_chat(config: DoctorConfig) -> CheckResult:
+    """Test agent chat with live API call."""
+    if not config.live:
+        return CheckResult(
+            id="selftest_live_chat",
+            title="Live Chat Test",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.SKIP,
+            message="Skipped (use --live to enable)",
+        )
+    
+    # Check for API key first
+    if not os.environ.get("OPENAI_API_KEY"):
+        return CheckResult(
+            id="selftest_live_chat",
+            title="Live Chat Test",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.SKIP,
+            message="Skipped (OPENAI_API_KEY not set)",
+        )
+    
+    try:
+        from praisonaiagents import Agent
+        
+        model = config.model or "gpt-4o-mini"
+        
+        agent = Agent(
+            name="LiveTestAgent",
+            instructions="You are a test agent. Respond with exactly: 'Doctor test OK'",
+            llm=model,
+            verbose=False,
+        )
+        
+        # Make a simple API call
+        response = agent.chat("Say hello")
+        
+        if response:
+            return CheckResult(
+                id="selftest_live_chat",
+                title="Live Chat Test",
+                category=CheckCategory.SELFTEST,
+                status=CheckStatus.PASS,
+                message=f"Live API call successful (model: {model})",
+                metadata={"model": model, "response_length": len(str(response))},
+            )
+        else:
+            return CheckResult(
+                id="selftest_live_chat",
+                title="Live Chat Test",
+                category=CheckCategory.SELFTEST,
+                status=CheckStatus.FAIL,
+                message="Live API call returned empty response",
+            )
+    except Exception as e:
+        return CheckResult(
+            id="selftest_live_chat",
+            title="Live Chat Test",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.FAIL,
+            message=f"Live API call failed: {type(e).__name__}",
+            details=str(e)[:200],
+            remediation="Check API key and network connectivity",
+        )
+
+
+@register_check(
+    id="selftest_tools_wiring",
+    title="Tools Wiring",
+    description="Check tools can be wired to agent",
+    category=CheckCategory.SELFTEST,
+    severity=CheckSeverity.LOW,
+)
+def check_selftest_tools_wiring(config: DoctorConfig) -> CheckResult:
+    """Check tools can be wired to agent."""
+    try:
+        from praisonaiagents import Agent
+        
+        # Define a simple test tool
+        def test_tool(x: str) -> str:
+            """A test tool that echoes input."""
+            return f"Echo: {x}"
+        
+        agent = Agent(
+            name="ToolTestAgent",
+            instructions="You are a test agent with tools.",
+            tools=[test_tool],
+            llm="gpt-4o-mini",
+            verbose=False,
+        )
+        
+        # Check tools are registered
+        if hasattr(agent, 'tools') or hasattr(agent, '_tools'):
+            return CheckResult(
+                id="selftest_tools_wiring",
+                title="Tools Wiring",
+                category=CheckCategory.SELFTEST,
+                status=CheckStatus.PASS,
+                message="Tools wired to agent successfully",
+            )
+        else:
+            return CheckResult(
+                id="selftest_tools_wiring",
+                title="Tools Wiring",
+                category=CheckCategory.SELFTEST,
+                status=CheckStatus.WARN,
+                message="Tools wiring could not be verified",
+            )
+    except Exception as e:
+        return CheckResult(
+            id="selftest_tools_wiring",
+            title="Tools Wiring",
+            category=CheckCategory.SELFTEST,
+            status=CheckStatus.FAIL,
+            message=f"Tools wiring failed: {type(e).__name__}",
+            details=str(e)[:200],
+        )

src/praisonai/praisonai/cli/features/doctor/checks/serve_checks.py

@@ -0,0 +1,426 @@
+"""
+Doctor checks for serve and endpoints functionality.
+
+Checks for:
+- Serve module availability
+- Endpoints module availability
+- Server connectivity
+- Discovery endpoint
+- Provider types
+"""
+
+import os
+
+from ..models import CheckResult, CheckStatus, CheckCategory, CheckSeverity, DoctorConfig
+from ..registry import register_check
+
+
+@register_check(
+    id="serve_module",
+    title="Serve Module",
+    description="Check if serve module is available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.MEDIUM,
+    tags=["serve", "deploy"],
+)
+def check_serve_module(config: DoctorConfig) -> CheckResult:
+    """Check if serve module is available."""
+    try:
+        from praisonai.cli.features.serve import ServeHandler
+        ServeHandler()  # Test instantiation
+        return CheckResult(
+            id="serve_module",
+            title="Serve Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message="Serve module available",
+            metadata={"handler": "ServeHandler"},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="serve_module",
+            title="Serve Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message=f"Serve module not available: {e}",
+            remediation="pip install praisonai[serve]",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="serve_module",
+            title="Serve Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.ERROR,
+            message=f"Error checking serve module: {e}",
+        )
+
+
+@register_check(
+    id="endpoints_module",
+    title="Endpoints Module",
+    description="Check if endpoints module is available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.MEDIUM,
+    tags=["endpoints", "deploy"],
+)
+def check_endpoints_module(config: DoctorConfig) -> CheckResult:
+    """Check if endpoints module is available."""
+    try:
+        from praisonai.endpoints import (
+            DiscoveryDocument,
+            EndpointInfo,
+            ProviderInfo,
+            list_provider_types,
+        )
+        types = list_provider_types()
+        return CheckResult(
+            id="endpoints_module",
+            title="Endpoints Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Endpoints module available ({len(types)} provider types)",
+            metadata={"provider_types": types},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="endpoints_module",
+            title="Endpoints Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message=f"Endpoints module not available: {e}",
+            remediation="pip install praisonai[serve]",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="endpoints_module",
+            title="Endpoints Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.ERROR,
+            message=f"Error checking endpoints module: {e}",
+        )
+
+
+@register_check(
+    id="endpoints_cli",
+    title="Endpoints CLI",
+    description="Check if endpoints CLI handler is available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+    tags=["endpoints", "cli"],
+)
+def check_endpoints_cli(config: DoctorConfig) -> CheckResult:
+    """Check if endpoints CLI handler is available."""
+    try:
+        from praisonai.cli.features.endpoints import EndpointsHandler
+        handler = EndpointsHandler()
+        return CheckResult(
+            id="endpoints_cli",
+            title="Endpoints CLI",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message="Endpoints CLI handler available",
+            metadata={"default_url": handler.DEFAULT_URL},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="endpoints_cli",
+            title="Endpoints CLI",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message=f"Endpoints CLI not available: {e}",
+            remediation="pip install praisonai",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="endpoints_cli",
+            title="Endpoints CLI",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.ERROR,
+            message=f"Error checking endpoints CLI: {e}",
+        )
+
+
+@register_check(
+    id="server_connectivity",
+    title="Server Connectivity",
+    description="Check if a PraisonAI server is reachable",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.LOW,
+    requires_deep=True,
+    tags=["serve", "network"],
+)
+def check_server_connectivity(config: DoctorConfig) -> CheckResult:
+    """Check if a PraisonAI server is reachable."""
+    import urllib.request
+    import urllib.error
+    
+    url = os.environ.get("PRAISONAI_ENDPOINTS_URL", "http://localhost:8765")
+    health_url = f"{url}/health"
+    
+    try:
+        req = urllib.request.Request(health_url, method="GET")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            if resp.status == 200:
+                return CheckResult(
+                    id="server_connectivity",
+                    title="Server Connectivity",
+                    category=CheckCategory.NETWORK,
+                    status=CheckStatus.PASS,
+                    message=f"Server reachable at {url}",
+                    metadata={"url": url, "status": resp.status},
+                )
+            else:
+                return CheckResult(
+                    id="server_connectivity",
+                    title="Server Connectivity",
+                    category=CheckCategory.NETWORK,
+                    status=CheckStatus.WARN,
+                    message=f"Server returned status {resp.status}",
+                    metadata={"url": url, "status": resp.status},
+                )
+    except urllib.error.URLError as e:
+        return CheckResult(
+            id="server_connectivity",
+            title="Server Connectivity",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.SKIP,
+            message=f"No server running at {url}",
+            details=str(e.reason),
+            remediation="Start a server: praisonai serve unified --port 8765",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="server_connectivity",
+            title="Server Connectivity",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.ERROR,
+            message=f"Error checking server: {e}",
+        )
+
+
+@register_check(
+    id="discovery_endpoint",
+    title="Discovery Endpoint",
+    description="Check if discovery endpoint is available",
+    category=CheckCategory.NETWORK,
+    severity=CheckSeverity.LOW,
+    requires_deep=True,
+    dependencies=["server_connectivity"],
+    tags=["serve", "discovery"],
+)
+def check_discovery_endpoint(config: DoctorConfig) -> CheckResult:
+    """Check if discovery endpoint is available."""
+    import urllib.request
+    import urllib.error
+    import json
+    
+    url = os.environ.get("PRAISONAI_ENDPOINTS_URL", "http://localhost:8765")
+    discovery_url = f"{url}/__praisonai__/discovery"
+    
+    try:
+        req = urllib.request.Request(discovery_url, method="GET")
+        with urllib.request.urlopen(req, timeout=5) as resp:
+            if resp.status == 200:
+                data = json.loads(resp.read().decode())
+                providers = data.get("providers", [])
+                endpoints = data.get("endpoints", [])
+                return CheckResult(
+                    id="discovery_endpoint",
+                    title="Discovery Endpoint",
+                    category=CheckCategory.NETWORK,
+                    status=CheckStatus.PASS,
+                    message=f"Discovery available: {len(providers)} providers, {len(endpoints)} endpoints",
+                    metadata={
+                        "url": discovery_url,
+                        "schema_version": data.get("schema_version"),
+                        "server_name": data.get("server_name"),
+                        "providers": [p.get("type") for p in providers],
+                    },
+                )
+            else:
+                return CheckResult(
+                    id="discovery_endpoint",
+                    title="Discovery Endpoint",
+                    category=CheckCategory.NETWORK,
+                    status=CheckStatus.WARN,
+                    message=f"Discovery returned status {resp.status}",
+                )
+    except urllib.error.URLError:
+        return CheckResult(
+            id="discovery_endpoint",
+            title="Discovery Endpoint",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.SKIP,
+            message="No server running (skipped)",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="discovery_endpoint",
+            title="Discovery Endpoint",
+            category=CheckCategory.NETWORK,
+            status=CheckStatus.ERROR,
+            message=f"Error checking discovery: {e}",
+        )
+
+
+@register_check(
+    id="a2u_module",
+    title="A2U Module",
+    description="Check if A2U server module is available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+    tags=["serve", "a2u"],
+)
+def check_a2u_module(config: DoctorConfig) -> CheckResult:
+    """Check if A2U server module is available."""
+    try:
+        from praisonai.endpoints.a2u_server import (
+            A2UEvent,
+            A2USubscription,
+            A2UEventBus,
+            create_a2u_routes,
+        )
+        return CheckResult(
+            id="a2u_module",
+            title="A2U Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message="A2U server module available",
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="a2u_module",
+            title="A2U Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message=f"A2U module not available: {e}",
+            remediation="pip install praisonai[serve]",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="a2u_module",
+            title="A2U Module",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.ERROR,
+            message=f"Error checking A2U module: {e}",
+        )
+
+
+@register_check(
+    id="provider_adapters",
+    title="Provider Adapters",
+    description="Check if all provider adapters are available",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.LOW,
+    tags=["serve", "providers"],
+)
+def check_provider_adapters(config: DoctorConfig) -> CheckResult:
+    """Check if all provider adapters are available."""
+    try:
+        from praisonai.endpoints.providers import (
+            BaseProvider,
+            RecipeProvider,
+            AgentsAPIProvider,
+            MCPProvider,
+            ToolsMCPProvider,
+            A2AProvider,
+            A2UProvider,
+        )
+        providers = [
+            "BaseProvider",
+            "RecipeProvider",
+            "AgentsAPIProvider",
+            "MCPProvider",
+            "ToolsMCPProvider",
+            "A2AProvider",
+            "A2UProvider",
+        ]
+        return CheckResult(
+            id="provider_adapters",
+            title="Provider Adapters",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"All {len(providers)} provider adapters available",
+            metadata={"providers": providers},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="provider_adapters",
+            title="Provider Adapters",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message=f"Some provider adapters not available: {e}",
+            remediation="pip install praisonai[serve]",
+        )
+    except Exception as e:
+        return CheckResult(
+            id="provider_adapters",
+            title="Provider Adapters",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.ERROR,
+            message=f"Error checking provider adapters: {e}",
+        )
+
+
+@register_check(
+    id="fastapi_available",
+    title="FastAPI Available",
+    description="Check if FastAPI is available for serving",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.MEDIUM,
+    tags=["serve", "dependencies"],
+)
+def check_fastapi_available(config: DoctorConfig) -> CheckResult:
+    """Check if FastAPI is available."""
+    try:
+        import fastapi
+        version = getattr(fastapi, "__version__", "unknown")
+        return CheckResult(
+            id="fastapi_available",
+            title="FastAPI Available",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"FastAPI {version} available",
+            metadata={"version": version},
+        )
+    except ImportError:
+        return CheckResult(
+            id="fastapi_available",
+            title="FastAPI Available",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message="FastAPI not installed",
+            remediation="pip install fastapi uvicorn",
+        )
+
+
+@register_check(
+    id="uvicorn_available",
+    title="Uvicorn Available",
+    description="Check if Uvicorn is available for serving",
+    category=CheckCategory.ENVIRONMENT,
+    severity=CheckSeverity.MEDIUM,
+    tags=["serve", "dependencies"],
+)
+def check_uvicorn_available(config: DoctorConfig) -> CheckResult:
+    """Check if Uvicorn is available."""
+    try:
+        import uvicorn
+        version = getattr(uvicorn, "__version__", "unknown")
+        return CheckResult(
+            id="uvicorn_available",
+            title="Uvicorn Available",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.PASS,
+            message=f"Uvicorn {version} available",
+            metadata={"version": version},
+        )
+    except ImportError:
+        return CheckResult(
+            id="uvicorn_available",
+            title="Uvicorn Available",
+            category=CheckCategory.ENVIRONMENT,
+            status=CheckStatus.WARN,
+            message="Uvicorn not installed",
+            remediation="pip install uvicorn",
+        )

src/praisonai/praisonai/cli/features/doctor/checks/skills_checks.py

@@ -0,0 +1,231 @@
+"""
+Skills checks for the Doctor CLI module.
+
+Validates Agent Skills configurations and manifests.
+"""
+
+from pathlib import Path
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+def _find_skills_dirs() -> list:
+    """Find skills directories."""
+    locations = [
+        Path.cwd() / ".praison" / "skills",
+        Path.cwd() / ".claude" / "skills",
+        Path.home() / ".praison" / "skills",
+        Path.home() / ".config" / "praison" / "skills",
+    ]
+    
+    found = []
+    for loc in locations:
+        if loc.exists() and loc.is_dir():
+            found.append(str(loc))
+    
+    return found
+
+
+def _validate_skill_dir(skill_path: Path) -> dict:
+    """Validate a single skill directory."""
+    result = {"valid": False, "errors": [], "warnings": []}
+    
+    skill_md = skill_path / "SKILL.md"
+    if not skill_md.exists():
+        result["errors"].append("Missing SKILL.md")
+        return result
+    
+    try:
+        content = skill_md.read_text()
+        
+        # Check for YAML frontmatter
+        if not content.startswith("---"):
+            result["errors"].append("SKILL.md missing YAML frontmatter")
+            return result
+        
+        # Parse frontmatter
+        parts = content.split("---", 2)
+        if len(parts) < 3:
+            result["errors"].append("Invalid YAML frontmatter format")
+            return result
+        
+        try:
+            import yaml
+            frontmatter = yaml.safe_load(parts[1])
+            
+            # Check required fields
+            if not frontmatter.get("name"):
+                result["errors"].append("Missing 'name' in frontmatter")
+            if not frontmatter.get("description"):
+                result["errors"].append("Missing 'description' in frontmatter")
+            
+            # Check name format
+            name = frontmatter.get("name", "")
+            if name and not name.replace("-", "").replace("_", "").isalnum():
+                result["warnings"].append(f"Name '{name}' should be alphanumeric with hyphens")
+            
+            if not result["errors"]:
+                result["valid"] = True
+                result["name"] = name
+                result["description"] = frontmatter.get("description", "")[:100]
+            
+        except Exception as e:
+            result["errors"].append(f"YAML parse error: {e}")
+    
+    except Exception as e:
+        result["errors"].append(f"Cannot read SKILL.md: {e}")
+    
+    return result
+
+
+@register_check(
+    id="skills_dirs",
+    title="Skills Directories",
+    description="Check for skills directories",
+    category=CheckCategory.SKILLS,
+    severity=CheckSeverity.INFO,
+)
+def check_skills_dirs(config: DoctorConfig) -> CheckResult:
+    """Check for skills directories."""
+    dirs = _find_skills_dirs()
+    
+    if config.path:
+        # Check specific path
+        path = Path(config.path)
+        if path.exists():
+            dirs = [str(path)]
+        else:
+            return CheckResult(
+                id="skills_dirs",
+                title="Skills Directories",
+                category=CheckCategory.SKILLS,
+                status=CheckStatus.FAIL,
+                message=f"Specified path not found: {config.path}",
+            )
+    
+    if dirs:
+        return CheckResult(
+            id="skills_dirs",
+            title="Skills Directories",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.PASS,
+            message=f"Found {len(dirs)} skills directory(ies)",
+            details=", ".join(dirs),
+            metadata={"directories": dirs},
+        )
+    else:
+        return CheckResult(
+            id="skills_dirs",
+            title="Skills Directories",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.SKIP,
+            message="No skills directories found (optional)",
+            details="Create .praison/skills/ to add agent skills",
+        )
+
+
+@register_check(
+    id="skills_valid",
+    title="Skills Validation",
+    description="Validate installed skills",
+    category=CheckCategory.SKILLS,
+    severity=CheckSeverity.MEDIUM,
+    dependencies=["skills_dirs"],
+)
+def check_skills_valid(config: DoctorConfig) -> CheckResult:
+    """Validate installed skills."""
+    dirs = _find_skills_dirs()
+    
+    if config.path:
+        path = Path(config.path)
+        if path.exists():
+            dirs = [str(path)]
+    
+    if not dirs:
+        return CheckResult(
+            id="skills_valid",
+            title="Skills Validation",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.SKIP,
+            message="No skills to validate",
+        )
+    
+    valid_skills = []
+    invalid_skills = []
+    
+    for dir_path in dirs:
+        skills_dir = Path(dir_path)
+        for skill_path in skills_dir.iterdir():
+            if skill_path.is_dir() and not skill_path.name.startswith("."):
+                result = _validate_skill_dir(skill_path)
+                if result["valid"]:
+                    valid_skills.append(result.get("name", skill_path.name))
+                else:
+                    invalid_skills.append(f"{skill_path.name}: {'; '.join(result['errors'])}")
+    
+    total = len(valid_skills) + len(invalid_skills)
+    
+    if total == 0:
+        return CheckResult(
+            id="skills_valid",
+            title="Skills Validation",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.SKIP,
+            message="No skills found in directories",
+        )
+    
+    if invalid_skills:
+        return CheckResult(
+            id="skills_valid",
+            title="Skills Validation",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.WARN,
+            message=f"{len(valid_skills)}/{total} skills valid",
+            details="; ".join(invalid_skills[:3]) + ("..." if len(invalid_skills) > 3 else ""),
+            metadata={"valid": valid_skills, "invalid": invalid_skills},
+        )
+    else:
+        return CheckResult(
+            id="skills_valid",
+            title="Skills Validation",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.PASS,
+            message=f"All {total} skill(s) valid",
+            metadata={"valid": valid_skills},
+        )
+
+
+@register_check(
+    id="skills_praisonai_integration",
+    title="PraisonAI Skills Integration",
+    description="Check PraisonAI skills module",
+    category=CheckCategory.SKILLS,
+    severity=CheckSeverity.LOW,
+)
+def check_skills_praisonai_integration(config: DoctorConfig) -> CheckResult:
+    """Check PraisonAI skills module."""
+    try:
+        from praisonaiagents.skills import SkillManager
+        return CheckResult(
+            id="skills_praisonai_integration",
+            title="PraisonAI Skills Integration",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.PASS,
+            message="PraisonAI skills module available",
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="skills_praisonai_integration",
+            title="PraisonAI Skills Integration",
+            category=CheckCategory.SKILLS,
+            status=CheckStatus.SKIP,
+            message="Skills module not available",
+            details=str(e),
+        )

src/praisonai/praisonai/cli/features/doctor/checks/tools_checks.py

@@ -0,0 +1,371 @@
+"""
+Tools checks for the Doctor CLI module.
+
+Validates tool availability, dependencies, and API keys.
+"""
+
+import os
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+# Tool categories and their requirements
+TOOL_CATEGORIES = {
+    "web_search": {
+        "tools": ["internet_search", "duckduckgo", "tavily_search", "exa_search", "searxng_search"],
+        "description": "Web search tools",
+    },
+    "file_ops": {
+        "tools": ["read_file", "write_file", "list_files", "file_tools"],
+        "description": "File operation tools",
+    },
+    "data": {
+        "tools": ["csv_tools", "json_tools", "excel_tools", "xml_tools", "yaml_tools", "pandas_tools"],
+        "description": "Data processing tools",
+    },
+    "database": {
+        "tools": ["duckdb_tools", "mongodb_tools"],
+        "description": "Database tools",
+    },
+    "code": {
+        "tools": ["python_tools", "shell_tools", "execute_code"],
+        "description": "Code execution tools",
+    },
+    "web_crawl": {
+        "tools": ["crawl4ai", "spider_tools", "newspaper_tools"],
+        "description": "Web crawling tools",
+    },
+    "knowledge": {
+        "tools": ["wiki_search", "arxiv_tools", "wikipedia_tools"],
+        "description": "Knowledge/research tools",
+    },
+    "finance": {
+        "tools": ["yfinance", "get_stock_price", "get_stock_info"],
+        "description": "Financial data tools",
+    },
+}
+
+# Tools that require API keys
+TOOLS_REQUIRING_API_KEYS = {
+    "tavily_search": "TAVILY_API_KEY",
+    "tavily": "TAVILY_API_KEY",
+    "exa_search": "EXA_API_KEY",
+    "exa": "EXA_API_KEY",
+    "ydc_search": "YDC_API_KEY",
+    "ydc": "YDC_API_KEY",
+}
+
+# Tools that require optional dependencies
+TOOLS_REQUIRING_DEPS = {
+    "crawl4ai": "crawl4ai",
+    "tavily_search": "tavily",
+    "tavily": "tavily",
+    "pandas_tools": "pandas",
+    "excel_tools": "openpyxl",
+    "yfinance": "yfinance",
+    "duckdb_tools": "duckdb",
+    "mongodb_tools": "pymongo",
+    "newspaper_tools": "newspaper3k",
+    "arxiv_tools": "arxiv",
+}
+
+
+@register_check(
+    id="tools_registry",
+    title="Tools Registry",
+    description="Check tool registry is accessible",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_tools_registry(config: DoctorConfig) -> CheckResult:
+    """Check tool registry is accessible."""
+    try:
+        from praisonaiagents.tools import TOOL_MAPPINGS
+        tool_count = len(TOOL_MAPPINGS)
+        
+        return CheckResult(
+            id="tools_registry",
+            title="Tools Registry",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.PASS,
+            message=f"Tool registry accessible with {tool_count} tools",
+            metadata={"tool_count": tool_count},
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="tools_registry",
+            title="Tools Registry",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.FAIL,
+            message="Cannot access tool registry",
+            details=str(e),
+            remediation="Ensure praisonaiagents is properly installed",
+            severity=CheckSeverity.HIGH,
+        )
+
+
+@register_check(
+    id="tools_web_search",
+    title="Web Search Tools",
+    description="Check web search tool availability",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_tools_web_search(config: DoctorConfig) -> CheckResult:
+    """Check web search tool availability."""
+    available = []
+    missing = []
+    
+    # Check DuckDuckGo (no API key required)
+    try:
+        from praisonaiagents.tools import internet_search
+        available.append("internet_search (DuckDuckGo)")
+    except ImportError:
+        missing.append("internet_search")
+    
+    # Check Tavily
+    if os.environ.get("TAVILY_API_KEY"):
+        try:
+            from praisonaiagents.tools import tavily_search
+            available.append("tavily_search")
+        except ImportError:
+            missing.append("tavily_search (missing tavily package)")
+    else:
+        missing.append("tavily_search (TAVILY_API_KEY not set)")
+    
+    # Check Exa
+    if os.environ.get("EXA_API_KEY"):
+        try:
+            from praisonaiagents.tools import exa_search
+            available.append("exa_search")
+        except ImportError:
+            missing.append("exa_search (missing exa package)")
+    else:
+        missing.append("exa_search (EXA_API_KEY not set)")
+    
+    if available:
+        return CheckResult(
+            id="tools_web_search",
+            title="Web Search Tools",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.PASS,
+            message=f"{len(available)} web search tool(s) available",
+            details=", ".join(available),
+            metadata={"available": available, "missing": missing},
+        )
+    else:
+        return CheckResult(
+            id="tools_web_search",
+            title="Web Search Tools",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.WARN,
+            message="No web search tools available",
+            details=", ".join(missing),
+            remediation="Install duckduckgo-search or set TAVILY_API_KEY",
+        )
+
+
+@register_check(
+    id="tools_file_ops",
+    title="File Operation Tools",
+    description="Check file operation tool availability",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.LOW,
+)
+def check_tools_file_ops(config: DoctorConfig) -> CheckResult:
+    """Check file operation tool availability."""
+    try:
+        from praisonaiagents.tools import read_file, write_file, list_files
+        return CheckResult(
+            id="tools_file_ops",
+            title="File Operation Tools",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.PASS,
+            message="File operation tools available (read_file, write_file, list_files)",
+        )
+    except ImportError as e:
+        return CheckResult(
+            id="tools_file_ops",
+            title="File Operation Tools",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.WARN,
+            message="Some file operation tools not available",
+            details=str(e),
+        )
+
+
+@register_check(
+    id="tools_code_execution",
+    title="Code Execution Tools",
+    description="Check code execution tool availability",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.LOW,
+)
+def check_tools_code_execution(config: DoctorConfig) -> CheckResult:
+    """Check code execution tool availability."""
+    available = []
+    
+    try:
+        from praisonaiagents.tools import execute_code
+        available.append("execute_code")
+    except ImportError:
+        pass
+    
+    try:
+        from praisonaiagents.tools import execute_command
+        available.append("execute_command")
+    except ImportError:
+        pass
+    
+    if available:
+        return CheckResult(
+            id="tools_code_execution",
+            title="Code Execution Tools",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.PASS,
+            message=f"Code execution tools available: {', '.join(available)}",
+            metadata={"available": available},
+        )
+    else:
+        return CheckResult(
+            id="tools_code_execution",
+            title="Code Execution Tools",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.SKIP,
+            message="Code execution tools not loaded (optional)",
+        )
+
+
+@register_check(
+    id="tools_api_keys",
+    title="Tool API Keys",
+    description="Check API keys for tools that require them",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.INFO,
+)
+def check_tools_api_keys(config: DoctorConfig) -> CheckResult:
+    """Check API keys for tools that require them."""
+    configured = []
+    missing = []
+    
+    api_keys = {
+        "TAVILY_API_KEY": "Tavily search",
+        "EXA_API_KEY": "Exa search",
+        "YDC_API_KEY": "You.com search",
+        "SPIDER_API_KEY": "Spider web crawling",
+    }
+    
+    for key, description in api_keys.items():
+        if os.environ.get(key):
+            configured.append(description)
+        else:
+            missing.append(f"{description} ({key})")
+    
+    if configured:
+        return CheckResult(
+            id="tools_api_keys",
+            title="Tool API Keys",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.PASS,
+            message=f"{len(configured)} tool API key(s) configured",
+            details=f"Configured: {', '.join(configured)}",
+            metadata={"configured": configured, "missing": missing},
+        )
+    else:
+        return CheckResult(
+            id="tools_api_keys",
+            title="Tool API Keys",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.SKIP,
+            message="No optional tool API keys configured",
+            details="Tools like Tavily, Exa require API keys for enhanced functionality",
+        )
+
+
+@register_check(
+    id="tools_optional_deps",
+    title="Tool Optional Dependencies",
+    description="Check optional dependencies for tools",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.INFO,
+    requires_deep=True,
+)
+def check_tools_optional_deps(config: DoctorConfig) -> CheckResult:
+    """Check optional dependencies for tools."""
+    available = []
+    missing = []
+    
+    deps_to_check = [
+        ("crawl4ai", "Crawl4AI web crawling"),
+        ("tavily", "Tavily search"),
+        ("pandas", "Pandas data tools"),
+        ("openpyxl", "Excel tools"),
+        ("yfinance", "Yahoo Finance tools"),
+        ("duckdb", "DuckDB tools"),
+        ("pymongo", "MongoDB tools"),
+        ("arxiv", "arXiv tools"),
+    ]
+    
+    for package, description in deps_to_check:
+        try:
+            __import__(package)
+            available.append(description)
+        except ImportError:
+            missing.append(f"{description} ({package})")
+    
+    total = len(deps_to_check)
+    
+    return CheckResult(
+        id="tools_optional_deps",
+        title="Tool Optional Dependencies",
+        category=CheckCategory.TOOLS,
+        status=CheckStatus.PASS,
+        message=f"{len(available)}/{total} optional tool dependencies installed",
+        details=f"Missing: {', '.join(missing[:3])}{'...' if len(missing) > 3 else ''}" if missing else "All installed",
+        metadata={"available": available, "missing": missing},
+    )
+
+
+@register_check(
+    id="tools_summary",
+    title="Tools Summary",
+    description="Summary of tool availability by category",
+    category=CheckCategory.TOOLS,
+    severity=CheckSeverity.INFO,
+)
+def check_tools_summary(config: DoctorConfig) -> CheckResult:
+    """Summary of tool availability by category."""
+    try:
+        from praisonaiagents.tools import TOOL_MAPPINGS
+        
+        category_counts = {}
+        for cat_name, cat_info in TOOL_CATEGORIES.items():
+            available = sum(1 for t in cat_info["tools"] if t in TOOL_MAPPINGS)
+            total = len(cat_info["tools"])
+            category_counts[cat_name] = f"{available}/{total}"
+        
+        summary = ", ".join(f"{k}: {v}" for k, v in category_counts.items())
+        
+        return CheckResult(
+            id="tools_summary",
+            title="Tools Summary",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.PASS,
+            message=f"Tool categories: {summary}",
+            metadata={"categories": category_counts},
+        )
+    except ImportError:
+        return CheckResult(
+            id="tools_summary",
+            title="Tools Summary",
+            category=CheckCategory.TOOLS,
+            status=CheckStatus.SKIP,
+            message="Cannot generate tools summary",
+        )

src/praisonai/praisonai/cli/features/doctor/engine.py

@@ -0,0 +1,266 @@
+"""
+Doctor engine for executing health checks.
+
+Provides the core execution logic for running doctor checks.
+"""
+
+import os
+import platform
+import sys
+import traceback
+from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeoutError
+from datetime import datetime, timezone
+from typing import Callable, List, Optional
+import time
+
+from .models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+    DoctorReport,
+    EnvironmentSummary,
+)
+from .registry import CheckRegistry, get_registry
+
+
+class DoctorEngine:
+    """
+    Engine for executing doctor checks.
+    
+    Handles check execution, timeout management, and report generation.
+    """
+    
+    def __init__(self, config: Optional[DoctorConfig] = None):
+        """
+        Initialize the doctor engine.
+        
+        Args:
+            config: Doctor configuration
+        """
+        self.config = config or DoctorConfig()
+        self.registry = get_registry()
+        self._results: List[CheckResult] = []
+    
+    def get_environment_summary(self) -> EnvironmentSummary:
+        """Gather environment information."""
+        # Get package versions lazily
+        praisonai_version = "unknown"
+        praisonaiagents_version = "unknown"
+        
+        try:
+            from praisonai.version import __version__ as pai_version
+            praisonai_version = pai_version
+        except ImportError:
+            pass
+        
+        try:
+            import praisonaiagents
+            praisonaiagents_version = getattr(praisonaiagents, "__version__", "unknown")
+        except ImportError:
+            pass
+        
+        return EnvironmentSummary(
+            python_version=f"{sys.version_info.major}.{sys.version_info.minor}.{sys.version_info.micro}",
+            python_executable=sys.executable,
+            os_name=platform.system(),
+            os_version=platform.release(),
+            architecture=platform.machine(),
+            praisonai_version=praisonai_version,
+            praisonaiagents_version=praisonaiagents_version,
+            working_directory=os.getcwd(),
+            virtual_env=os.environ.get("VIRTUAL_ENV"),
+        )
+    
+    def run_check(
+        self,
+        check_id: str,
+        implementation: Callable,
+        timeout: Optional[float] = None,
+    ) -> CheckResult:
+        """
+        Run a single check with timeout handling.
+        
+        Args:
+            check_id: Check identifier
+            implementation: Check function
+            timeout: Timeout in seconds
+            
+        Returns:
+            Check result
+        """
+        timeout = timeout or self.config.timeout
+        definition = self.registry.get_check(check_id)
+        
+        start_time = time.time()
+        
+        try:
+            # Run with timeout using ThreadPoolExecutor
+            with ThreadPoolExecutor(max_workers=1) as executor:
+                future = executor.submit(implementation, self.config)
+                try:
+                    result = future.result(timeout=timeout)
+                    result.duration_ms = (time.time() - start_time) * 1000
+                    return result
+                except FuturesTimeoutError:
+                    return CheckResult(
+                        id=check_id,
+                        title=definition.title if definition else check_id,
+                        category=definition.category if definition else CheckCategory.ENVIRONMENT,
+                        status=CheckStatus.ERROR,
+                        message=f"Check timed out after {timeout}s",
+                        remediation="Increase timeout with --timeout or check for hanging operations",
+                        duration_ms=(time.time() - start_time) * 1000,
+                        severity=CheckSeverity.HIGH,
+                    )
+        except Exception as e:
+            # Capture exception details but redact potential secrets
+            tb = traceback.format_exc()
+            return CheckResult(
+                id=check_id,
+                title=definition.title if definition else check_id,
+                category=definition.category if definition else CheckCategory.ENVIRONMENT,
+                status=CheckStatus.ERROR,
+                message=f"Check failed with error: {type(e).__name__}: {str(e)[:100]}",
+                details=tb[:500] if not self.config.quiet else None,
+                remediation="Check the error details and fix the underlying issue",
+                duration_ms=(time.time() - start_time) * 1000,
+                severity=CheckSeverity.HIGH,
+            )
+    
+    def run_checks(
+        self,
+        check_ids: Optional[List[str]] = None,
+        categories: Optional[List[CheckCategory]] = None,
+    ) -> List[CheckResult]:
+        """
+        Run multiple checks.
+        
+        Args:
+            check_ids: Specific check IDs to run (None = all)
+            categories: Filter by categories
+            
+        Returns:
+            List of check results
+        """
+        # Get filtered checks
+        checks = self.registry.filter_checks(
+            only=check_ids or self.config.only or None,
+            skip=self.config.skip or None,
+            categories=categories,
+            deep_mode=self.config.deep,
+        )
+        
+        # Resolve dependencies and get ordered list
+        ordered_ids = self.registry.resolve_dependencies([c.id for c in checks])
+        
+        results = []
+        failed_deps = set()
+        
+        for check_id in ordered_ids:
+            definition = self.registry.get_check(check_id)
+            implementation = self.registry.get_implementation(check_id)
+            
+            if not definition or not implementation:
+                continue
+            
+            # Check if dependencies failed
+            if any(dep in failed_deps for dep in definition.dependencies):
+                results.append(CheckResult(
+                    id=check_id,
+                    title=definition.title,
+                    category=definition.category,
+                    status=CheckStatus.SKIP,
+                    message="Skipped due to failed dependency",
+                    severity=definition.severity,
+                ))
+                continue
+            
+            # Run the check
+            result = self.run_check(check_id, implementation)
+            results.append(result)
+            
+            # Track failures for dependency resolution
+            if result.status in (CheckStatus.FAIL, CheckStatus.ERROR):
+                failed_deps.add(check_id)
+                
+                # Fail fast if configured
+                if self.config.fail_fast:
+                    break
+        
+        self._results = results
+        return results
+    
+    def generate_report(self, results: Optional[List[CheckResult]] = None) -> DoctorReport:
+        """
+        Generate a complete doctor report.
+        
+        Args:
+            results: Check results (uses stored results if None)
+            
+        Returns:
+            Complete doctor report
+        """
+        results = results or self._results
+        
+        report = DoctorReport(
+            version="1.0.0",
+            timestamp=datetime.now(timezone.utc).isoformat(),
+            environment=self.get_environment_summary(),
+            results=results,
+            mode="deep" if self.config.deep else "fast",
+            filters={
+                "only": self.config.only,
+                "skip": self.config.skip,
+            },
+        )
+        
+        report.calculate_summary()
+        report.exit_code = report.calculate_exit_code(strict=self.config.strict)
+        
+        return report
+    
+    def run(
+        self,
+        check_ids: Optional[List[str]] = None,
+        categories: Optional[List[CheckCategory]] = None,
+    ) -> DoctorReport:
+        """
+        Run checks and generate report.
+        
+        Args:
+            check_ids: Specific check IDs to run
+            categories: Filter by categories
+            
+        Returns:
+            Complete doctor report
+        """
+        start_time = time.time()
+        
+        results = self.run_checks(check_ids, categories)
+        report = self.generate_report(results)
+        
+        report.duration_ms = (time.time() - start_time) * 1000
+        
+        return report
+
+
+def run_doctor(
+    config: Optional[DoctorConfig] = None,
+    check_ids: Optional[List[str]] = None,
+    categories: Optional[List[CheckCategory]] = None,
+) -> DoctorReport:
+    """
+    Convenience function to run doctor checks.
+    
+    Args:
+        config: Doctor configuration
+        check_ids: Specific check IDs to run
+        categories: Filter by categories
+        
+    Returns:
+        Complete doctor report
+    """
+    engine = DoctorEngine(config)
+    return engine.run(check_ids, categories)

src/praisonai/praisonai/cli/features/doctor/formatters.py

@@ -0,0 +1,310 @@
+"""
+Output formatters for the Doctor CLI module.
+
+Provides text and JSON formatting with secret redaction.
+"""
+
+import json
+import re
+import sys
+from typing import Any, Dict, List, Optional, TextIO
+from .models import CheckResult, CheckStatus, DoctorReport, ReportSummary
+
+
+# Patterns for detecting secrets
+SECRET_PATTERNS = [
+    re.compile(r'(sk-[a-zA-Z0-9]{20,})', re.IGNORECASE),  # OpenAI
+    re.compile(r'(sk-ant-[a-zA-Z0-9-]{20,})', re.IGNORECASE),  # Anthropic
+    re.compile(r'(AIza[a-zA-Z0-9_-]{35})', re.IGNORECASE),  # Google
+    re.compile(r'(tvly-[a-zA-Z0-9]{20,})', re.IGNORECASE),  # Tavily
+    re.compile(r'(xai-[a-zA-Z0-9]{20,})', re.IGNORECASE),  # xAI
+    re.compile(r'([a-zA-Z0-9_-]*api[_-]?key[a-zA-Z0-9_-]*=\s*["\']?[a-zA-Z0-9_-]{16,})', re.IGNORECASE),
+    re.compile(r'([a-zA-Z0-9_-]*token[a-zA-Z0-9_-]*=\s*["\']?[a-zA-Z0-9_-]{16,})', re.IGNORECASE),
+    re.compile(r'([a-zA-Z0-9_-]*secret[a-zA-Z0-9_-]*=\s*["\']?[a-zA-Z0-9_-]{16,})', re.IGNORECASE),
+    re.compile(r'(password\s*=\s*["\']?[^\s"\']{8,})', re.IGNORECASE),
+]
+
+# Known API key environment variable names
+API_KEY_ENV_VARS = [
+    "OPENAI_API_KEY",
+    "ANTHROPIC_API_KEY",
+    "GOOGLE_API_KEY",
+    "GEMINI_API_KEY",
+    "TAVILY_API_KEY",
+    "EXA_API_KEY",
+    "COHERE_API_KEY",
+    "HUGGINGFACE_API_KEY",
+    "HF_TOKEN",
+    "LANGFUSE_PUBLIC_KEY",
+    "LANGFUSE_SECRET_KEY",
+    "LANGSMITH_API_KEY",
+    "AGENTOPS_API_KEY",
+    "WANDB_API_KEY",
+    "DATADOG_API_KEY",
+    "BRAINTRUST_API_KEY",
+    "YDC_API_KEY",
+]
+
+
+def redact_secrets(text: str, show_prefix_suffix: bool = False) -> str:
+    """
+    Redact secrets from text.
+    
+    Args:
+        text: Text to redact
+        show_prefix_suffix: If True, show first 4 and last 4 chars
+        
+    Returns:
+        Text with secrets redacted
+    """
+    if not text:
+        return text
+    
+    result = text
+    
+    for pattern in SECRET_PATTERNS:
+        def replace_match(match):
+            secret = match.group(1)
+            if show_prefix_suffix and len(secret) > 12:
+                return f"{secret[:4]}...{secret[-4:]}"
+            return "***REDACTED***"
+        result = pattern.sub(replace_match, result)
+    
+    return result
+
+
+def redact_dict(data: Dict[str, Any], show_prefix_suffix: bool = False) -> Dict[str, Any]:
+    """
+    Recursively redact secrets from a dictionary.
+    
+    Args:
+        data: Dictionary to redact
+        show_prefix_suffix: If True, show first 4 and last 4 chars
+        
+    Returns:
+        Dictionary with secrets redacted
+    """
+    result = {}
+    for key, value in data.items():
+        if isinstance(value, str):
+            # Check if key suggests it's a secret
+            key_lower = key.lower()
+            if any(s in key_lower for s in ["key", "token", "secret", "password", "credential"]):
+                if show_prefix_suffix and len(value) > 12:
+                    result[key] = f"{value[:4]}...{value[-4:]}"
+                else:
+                    result[key] = "***REDACTED***"
+            else:
+                result[key] = redact_secrets(value, show_prefix_suffix)
+        elif isinstance(value, dict):
+            result[key] = redact_dict(value, show_prefix_suffix)
+        elif isinstance(value, list):
+            result[key] = [
+                redact_dict(v, show_prefix_suffix) if isinstance(v, dict)
+                else redact_secrets(v, show_prefix_suffix) if isinstance(v, str)
+                else v
+                for v in value
+            ]
+        else:
+            result[key] = value
+    return result
+
+
+class BaseFormatter:
+    """Base class for output formatters."""
+    
+    def __init__(
+        self,
+        no_color: bool = False,
+        quiet: bool = False,
+        redact: bool = True,
+        show_prefix_suffix: bool = False,
+    ):
+        self.no_color = no_color or not sys.stdout.isatty()
+        self.quiet = quiet
+        self.redact = redact
+        self.show_prefix_suffix = show_prefix_suffix
+    
+    def format_report(self, report: DoctorReport) -> str:
+        """Format a complete report."""
+        raise NotImplementedError
+    
+    def format_result(self, result: CheckResult) -> str:
+        """Format a single check result."""
+        raise NotImplementedError
+    
+    def write(self, report: DoctorReport, output: Optional[TextIO] = None) -> None:
+        """Write formatted report to output."""
+        output = output or sys.stdout
+        output.write(self.format_report(report))
+        if not self.format_report(report).endswith("\n"):
+            output.write("\n")
+
+
+class TextFormatter(BaseFormatter):
+    """Text formatter with optional color support."""
+    
+    # ANSI color codes
+    COLORS = {
+        "reset": "\033[0m",
+        "bold": "\033[1m",
+        "dim": "\033[2m",
+        "red": "\033[31m",
+        "green": "\033[32m",
+        "yellow": "\033[33m",
+        "blue": "\033[34m",
+        "cyan": "\033[36m",
+        "white": "\033[37m",
+    }
+    
+    STATUS_COLORS = {
+        CheckStatus.PASS: "green",
+        CheckStatus.WARN: "yellow",
+        CheckStatus.FAIL: "red",
+        CheckStatus.SKIP: "dim",
+        CheckStatus.ERROR: "red",
+    }
+    
+    STATUS_SYMBOLS = {
+        CheckStatus.PASS: "✓",
+        CheckStatus.WARN: "⚠",
+        CheckStatus.FAIL: "✗",
+        CheckStatus.SKIP: "○",
+        CheckStatus.ERROR: "✗",
+    }
+    
+    def _color(self, text: str, color: str) -> str:
+        """Apply color to text if colors are enabled."""
+        if self.no_color:
+            return text
+        return f"{self.COLORS.get(color, '')}{text}{self.COLORS['reset']}"
+    
+    def _status_symbol(self, status: CheckStatus) -> str:
+        """Get colored status symbol."""
+        symbol = self.STATUS_SYMBOLS.get(status, "?")
+        color = self.STATUS_COLORS.get(status, "white")
+        return self._color(symbol, color)
+    
+    def format_result(self, result: CheckResult) -> str:
+        """Format a single check result."""
+        symbol = self._status_symbol(result.status)
+        message = result.message
+        if self.redact:
+            message = redact_secrets(message, self.show_prefix_suffix)
+        
+        line = f"{symbol} {result.title}: {message}"
+        
+        if result.details and not self.quiet:
+            details = result.details
+            if self.redact:
+                details = redact_secrets(details, self.show_prefix_suffix)
+            line += f"\n    {self._color(details, 'dim')}"
+        
+        if result.remediation and result.status in (CheckStatus.FAIL, CheckStatus.ERROR):
+            line += f"\n    {self._color('Fix:', 'yellow')} {result.remediation}"
+        
+        return line
+    
+    def format_summary(self, summary: ReportSummary, strict: bool = False) -> str:
+        """Format the summary section."""
+        parts = []
+        
+        if summary.passed > 0:
+            parts.append(self._color(f"{summary.passed} passed", "green"))
+        if summary.warnings > 0:
+            color = "red" if strict else "yellow"
+            parts.append(self._color(f"{summary.warnings} warnings", color))
+        if summary.failed > 0:
+            parts.append(self._color(f"{summary.failed} failed", "red"))
+        if summary.skipped > 0:
+            parts.append(self._color(f"{summary.skipped} skipped", "dim"))
+        if summary.errors > 0:
+            parts.append(self._color(f"{summary.errors} errors", "red"))
+        
+        return f"{summary.total} checks: " + ", ".join(parts)
+    
+    def format_report(self, report: DoctorReport) -> str:
+        """Format a complete report."""
+        lines = []
+        
+        # Header
+        if not self.quiet:
+            header = f"PraisonAI Doctor v{report.version}"
+            lines.append(self._color(header, "bold"))
+            lines.append("━" * 70)
+        
+        # Results
+        for result in report.results:
+            lines.append(self.format_result(result))
+        
+        # Summary
+        if not self.quiet:
+            lines.append("━" * 70)
+        lines.append(self.format_summary(report.summary))
+        
+        # Duration
+        if not self.quiet and report.duration_ms > 0:
+            lines.append(self._color(f"Completed in {report.duration_ms:.0f}ms", "dim"))
+        
+        return "\n".join(lines)
+
+
+class JsonFormatter(BaseFormatter):
+    """JSON formatter with deterministic output."""
+    
+    def format_result(self, result: CheckResult) -> str:
+        """Format a single check result as JSON."""
+        data = result.to_dict()
+        if self.redact:
+            data = redact_dict(data, self.show_prefix_suffix)
+        return json.dumps(data, indent=2, sort_keys=True)
+    
+    def format_report(self, report: DoctorReport) -> str:
+        """Format a complete report as JSON."""
+        data = report.to_dict()
+        if self.redact:
+            data = redact_dict(data, self.show_prefix_suffix)
+        
+        # Ensure deterministic ordering
+        return json.dumps(data, indent=2, sort_keys=True)
+    
+    def write(self, report: DoctorReport, output: Optional[TextIO] = None) -> None:
+        """Write formatted report to output."""
+        output = output or sys.stdout
+        output.write(self.format_report(report))
+        output.write("\n")
+
+
+def get_formatter(
+    format_type: str = "text",
+    no_color: bool = False,
+    quiet: bool = False,
+    redact: bool = True,
+    show_prefix_suffix: bool = False,
+) -> BaseFormatter:
+    """
+    Get a formatter instance.
+    
+    Args:
+        format_type: "text" or "json"
+        no_color: Disable ANSI colors
+        quiet: Minimal output
+        redact: Redact secrets
+        show_prefix_suffix: Show partial secrets
+        
+    Returns:
+        Formatter instance
+    """
+    if format_type == "json":
+        return JsonFormatter(
+            no_color=True,  # JSON never has colors
+            quiet=quiet,
+            redact=redact,
+            show_prefix_suffix=show_prefix_suffix,
+        )
+    return TextFormatter(
+        no_color=no_color,
+        quiet=quiet,
+        redact=redact,
+        show_prefix_suffix=show_prefix_suffix,
+    )

src/praisonai/praisonai/cli/features/doctor/handler.py

@@ -0,0 +1,397 @@
+"""
+Doctor CLI handler for PraisonAI.
+
+Provides the main DoctorHandler class that integrates with the CLI.
+"""
+
+import argparse
+import sys
+from typing import List, Optional
+
+from ..base import CommandHandler
+from .models import CheckCategory, DoctorConfig, DoctorReport
+from .engine import DoctorEngine
+from .registry import get_registry
+from .formatters import get_formatter
+
+
+class DoctorHandler(CommandHandler):
+    """
+    Handler for the 'praisonai doctor' command.
+    
+    Provides comprehensive health checks and diagnostics.
+    """
+    
+    @property
+    def feature_name(self) -> str:
+        return "doctor"
+    
+    def get_actions(self) -> List[str]:
+        return [
+            "env",
+            "config", 
+            "tools",
+            "db",
+            "mcp",
+            "obs",
+            "skills",
+            "memory",
+            "permissions",
+            "network",
+            "performance",
+            "ci",
+            "selftest",
+        ]
+    
+    def _register_checks(self) -> None:
+        """Register all doctor checks."""
+        from .checks import register_all_checks
+        register_all_checks()
+    
+    def _parse_args(self, args: List[str]) -> argparse.Namespace:
+        """Parse doctor command arguments."""
+        parser = argparse.ArgumentParser(
+            prog="praisonai doctor",
+            description="PraisonAI health checks and diagnostics",
+        )
+        
+        # Subcommand
+        parser.add_argument(
+            "subcommand",
+            nargs="?",
+            choices=self.get_actions() + [None],
+            help="Subcommand to run (default: run all fast checks)",
+        )
+        
+        # Global flags
+        parser.add_argument(
+            "--json",
+            action="store_true",
+            help="Output in JSON format",
+        )
+        parser.add_argument(
+            "--format",
+            choices=["text", "json"],
+            default="text",
+            help="Output format (default: text)",
+        )
+        parser.add_argument(
+            "--output", "-o",
+            type=str,
+            help="Write report to file",
+        )
+        parser.add_argument(
+            "--deep",
+            action="store_true",
+            help="Enable deeper probes (DB connects, network checks)",
+        )
+        parser.add_argument(
+            "--timeout",
+            type=float,
+            default=10.0,
+            help="Per-check timeout in seconds (default: 10)",
+        )
+        parser.add_argument(
+            "--strict",
+            action="store_true",
+            help="Treat warnings as failures",
+        )
+        parser.add_argument(
+            "--quiet", "-q",
+            action="store_true",
+            help="Minimal output",
+        )
+        parser.add_argument(
+            "--no-color",
+            action="store_true",
+            help="Disable ANSI colors",
+        )
+        parser.add_argument(
+            "--only",
+            type=str,
+            help="Only run these check IDs (comma-separated)",
+        )
+        parser.add_argument(
+            "--skip",
+            type=str,
+            help="Skip these check IDs (comma-separated)",
+        )
+        parser.add_argument(
+            "--list-checks",
+            action="store_true",
+            help="List available check IDs",
+        )
+        parser.add_argument(
+            "--version",
+            action="store_true",
+            help="Show doctor module version",
+        )
+        
+        # Subcommand-specific flags
+        parser.add_argument(
+            "--show-keys",
+            action="store_true",
+            help="Show masked API key values (env subcommand)",
+        )
+        parser.add_argument(
+            "--require",
+            type=str,
+            help="Require these env vars (comma-separated)",
+        )
+        parser.add_argument(
+            "--file", "-f",
+            type=str,
+            help="Config file to validate (config subcommand)",
+        )
+        parser.add_argument(
+            "--schema",
+            action="store_true",
+            help="Print expected schema (config subcommand)",
+        )
+        parser.add_argument(
+            "--dsn",
+            type=str,
+            help="Database DSN (db subcommand)",
+        )
+        parser.add_argument(
+            "--provider",
+            type=str,
+            help="Provider name (db/obs subcommand)",
+        )
+        parser.add_argument(
+            "--read-only",
+            action="store_true",
+            default=True,
+            help="Read-only mode for DB checks (default: true)",
+        )
+        parser.add_argument(
+            "--name",
+            type=str,
+            help="Name filter (mcp/tools subcommand)",
+        )
+        parser.add_argument(
+            "--category",
+            type=str,
+            help="Category filter (tools subcommand)",
+        )
+        parser.add_argument(
+            "--all",
+            action="store_true",
+            dest="all_checks",
+            help="Show all items (tools subcommand)",
+        )
+        parser.add_argument(
+            "--missing-only",
+            action="store_true",
+            help="Show only missing items (tools subcommand)",
+        )
+        parser.add_argument(
+            "--list-tools",
+            action="store_true",
+            help="List MCP tools (mcp subcommand)",
+        )
+        parser.add_argument(
+            "--path",
+            type=str,
+            help="Path to check (skills subcommand)",
+        )
+        parser.add_argument(
+            "--all-installed",
+            action="store_true",
+            help="Check all installed skills",
+        )
+        parser.add_argument(
+            "--budget-ms",
+            type=int,
+            help="Import time budget in ms (performance subcommand)",
+        )
+        parser.add_argument(
+            "--top",
+            type=int,
+            default=10,
+            dest="top_n",
+            help="Number of top items to show (default: 10)",
+        )
+        parser.add_argument(
+            "--fail-fast",
+            action="store_true",
+            help="Stop on first failure (ci subcommand)",
+        )
+        parser.add_argument(
+            "--mock",
+            action="store_true",
+            default=True,
+            help="Use mock mode (selftest, default: true)",
+        )
+        parser.add_argument(
+            "--live",
+            action="store_true",
+            help="Use live API calls (selftest)",
+        )
+        parser.add_argument(
+            "--model",
+            type=str,
+            help="Model to use for selftest",
+        )
+        parser.add_argument(
+            "--save-report",
+            action="store_true",
+            help="Save selftest report",
+        )
+        
+        return parser.parse_args(args)
+    
+    def _build_config(self, args: argparse.Namespace) -> DoctorConfig:
+        """Build DoctorConfig from parsed arguments."""
+        return DoctorConfig(
+            deep=args.deep,
+            timeout=args.timeout if args.deep else min(args.timeout, 10.0),
+            strict=args.strict,
+            quiet=args.quiet,
+            no_color=args.no_color,
+            format="json" if args.json else args.format,
+            output_path=args.output,
+            only=args.only.split(",") if args.only else [],
+            skip=args.skip.split(",") if args.skip else [],
+            show_keys=args.show_keys,
+            require_keys=args.require.split(",") if args.require else [],
+            config_file=args.file,
+            dsn=args.dsn,
+            provider=args.provider,
+            read_only=args.read_only,
+            mock=args.mock and not args.live,
+            live=args.live,
+            model=args.model,
+            budget_ms=args.budget_ms,
+            top_n=args.top_n,
+            fail_fast=args.fail_fast,
+            list_tools=args.list_tools,
+            all_checks=args.all_checks,
+            missing_only=args.missing_only,
+            name=args.name,
+            category=args.category,
+            path=args.path,
+            save_report=args.save_report,
+        )
+    
+    def _get_categories_for_subcommand(self, subcommand: Optional[str]) -> Optional[List[CheckCategory]]:
+        """Get check categories for a subcommand."""
+        category_map = {
+            "env": [CheckCategory.ENVIRONMENT],
+            "config": [CheckCategory.CONFIG],
+            "tools": [CheckCategory.TOOLS],
+            "db": [CheckCategory.DATABASE],
+            "mcp": [CheckCategory.MCP],
+            "obs": [CheckCategory.OBSERVABILITY],
+            "skills": [CheckCategory.SKILLS],
+            "memory": [CheckCategory.MEMORY],
+            "permissions": [CheckCategory.PERMISSIONS],
+            "network": [CheckCategory.NETWORK],
+            "performance": [CheckCategory.PERFORMANCE],
+            "selftest": [CheckCategory.SELFTEST],
+            "ci": None,  # CI runs all checks
+        }
+        return category_map.get(subcommand)
+    
+    def execute(self, action: str, action_args: List[str], **kwargs) -> int:
+        """
+        Execute the doctor command.
+        
+        Args:
+            action: The subcommand or empty string
+            action_args: Additional arguments
+            
+        Returns:
+            Exit code (0=pass, 1=fail, 2=error)
+        """
+        # Combine action and action_args for parsing
+        all_args = [action] + action_args if action and action != "help" else action_args
+        
+        try:
+            args = self._parse_args(all_args)
+        except SystemExit:
+            return 0  # Help was shown
+        
+        # Handle special flags
+        if args.version:
+            from . import __version__
+            print(f"PraisonAI Doctor v{__version__}")
+            return 0
+        
+        # Register all checks
+        self._register_checks()
+        
+        if args.list_checks:
+            registry = get_registry()
+            print(registry.list_checks_text())
+            return 0
+        
+        # Build config
+        config = self._build_config(args)
+        
+        # Handle CI mode
+        if args.subcommand == "ci":
+            config.format = "json"
+            config.no_color = True
+            config.quiet = True
+        
+        # Get categories for subcommand
+        categories = self._get_categories_for_subcommand(args.subcommand)
+        
+        # Run doctor
+        engine = DoctorEngine(config)
+        report = engine.run(categories=categories)
+        
+        # Format output
+        formatter = get_formatter(
+            format_type=config.format,
+            no_color=config.no_color,
+            quiet=config.quiet,
+            show_prefix_suffix=config.show_keys,
+        )
+        
+        # Write output
+        if config.output_path:
+            with open(config.output_path, "w") as f:
+                formatter.write(report, f)
+            if not config.quiet:
+                print(f"Report written to: {config.output_path}")
+        else:
+            formatter.write(report, sys.stdout)
+        
+        return report.exit_code
+    
+    def run(self, args: List[str]) -> int:
+        """
+        Run the doctor command from CLI.
+        
+        Args:
+            args: Command line arguments after 'doctor'
+            
+        Returns:
+            Exit code
+        """
+        if not args:
+            return self.execute("", [])
+        
+        action = args[0] if args else ""
+        action_args = args[1:] if len(args) > 1 else []
+        
+        return self.execute(action, action_args)
+
+
+def run_doctor(args: Optional[List[str]] = None) -> int:
+    """
+    Convenience function to run doctor from CLI.
+    
+    Args:
+        args: Command line arguments (default: sys.argv[1:])
+        
+    Returns:
+        Exit code
+    """
+    if args is None:
+        args = sys.argv[1:]
+    
+    handler = DoctorHandler()
+    return handler.run(args)

src/praisonai/praisonai/cli/features/doctor/models.py

@@ -0,0 +1,264 @@
+"""
+Data models for the Doctor CLI module.
+
+Defines the core data structures for check results, reports, and configuration.
+"""
+
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Any, Dict, List, Optional
+import time
+
+
+class CheckStatus(Enum):
+    """Status of a doctor check."""
+    PASS = "pass"
+    WARN = "warn"
+    FAIL = "fail"
+    SKIP = "skip"
+    ERROR = "error"
+
+
+class CheckCategory(Enum):
+    """Category of a doctor check."""
+    ENVIRONMENT = "environment"
+    CONFIG = "config"
+    TOOLS = "tools"
+    DATABASE = "database"
+    MCP = "mcp"
+    OBSERVABILITY = "observability"
+    SKILLS = "skills"
+    MEMORY = "memory"
+    PERMISSIONS = "permissions"
+    NETWORK = "network"
+    PERFORMANCE = "performance"
+    SELFTEST = "selftest"
+
+
+class CheckSeverity(Enum):
+    """Severity level of a check."""
+    CRITICAL = "critical"
+    HIGH = "high"
+    MEDIUM = "medium"
+    LOW = "low"
+    INFO = "info"
+
+
+@dataclass
+class CheckResult:
+    """Result of a single doctor check."""
+    id: str
+    title: str
+    category: CheckCategory
+    status: CheckStatus
+    message: str
+    details: Optional[str] = None
+    remediation: Optional[str] = None
+    duration_ms: float = 0.0
+    severity: CheckSeverity = CheckSeverity.MEDIUM
+    metadata: Dict[str, Any] = field(default_factory=dict)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary for JSON serialization."""
+        return {
+            "id": self.id,
+            "title": self.title,
+            "category": self.category.value,
+            "status": self.status.value,
+            "message": self.message,
+            "details": self.details,
+            "remediation": self.remediation,
+            "duration_ms": round(self.duration_ms, 2),
+            "severity": self.severity.value,
+            "metadata": self.metadata,
+        }
+    
+    @property
+    def passed(self) -> bool:
+        """Check if this result is considered passing."""
+        return self.status in (CheckStatus.PASS, CheckStatus.SKIP)
+    
+    @property
+    def is_warning(self) -> bool:
+        """Check if this result is a warning."""
+        return self.status == CheckStatus.WARN
+    
+    @property
+    def is_failure(self) -> bool:
+        """Check if this result is a failure."""
+        return self.status in (CheckStatus.FAIL, CheckStatus.ERROR)
+
+
+@dataclass
+class CheckDefinition:
+    """Definition of a doctor check."""
+    id: str
+    title: str
+    description: str
+    category: CheckCategory
+    severity: CheckSeverity = CheckSeverity.MEDIUM
+    requires_deep: bool = False
+    dependencies: List[str] = field(default_factory=list)
+    tags: List[str] = field(default_factory=list)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "id": self.id,
+            "title": self.title,
+            "description": self.description,
+            "category": self.category.value,
+            "severity": self.severity.value,
+            "requires_deep": self.requires_deep,
+            "dependencies": self.dependencies,
+            "tags": self.tags,
+        }
+
+
+@dataclass
+class EnvironmentSummary:
+    """Summary of the runtime environment."""
+    python_version: str = ""
+    python_executable: str = ""
+    os_name: str = ""
+    os_version: str = ""
+    architecture: str = ""
+    praisonai_version: str = ""
+    praisonaiagents_version: str = ""
+    working_directory: str = ""
+    virtual_env: Optional[str] = None
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "python_version": self.python_version,
+            "python_executable": self.python_executable,
+            "os_name": self.os_name,
+            "os_version": self.os_version,
+            "architecture": self.architecture,
+            "praisonai_version": self.praisonai_version,
+            "praisonaiagents_version": self.praisonaiagents_version,
+            "working_directory": self.working_directory,
+            "virtual_env": self.virtual_env,
+        }
+
+
+@dataclass
+class ReportSummary:
+    """Summary statistics for a doctor report."""
+    total: int = 0
+    passed: int = 0
+    warnings: int = 0
+    failed: int = 0
+    skipped: int = 0
+    errors: int = 0
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "total": self.total,
+            "passed": self.passed,
+            "warnings": self.warnings,
+            "failed": self.failed,
+            "skipped": self.skipped,
+            "errors": self.errors,
+        }
+
+
+@dataclass
+class DoctorReport:
+    """Complete doctor report."""
+    version: str = "1.0.0"
+    timestamp: str = ""
+    duration_ms: float = 0.0
+    environment: EnvironmentSummary = field(default_factory=EnvironmentSummary)
+    results: List[CheckResult] = field(default_factory=list)
+    summary: ReportSummary = field(default_factory=ReportSummary)
+    exit_code: int = 0
+    mode: str = "fast"
+    filters: Dict[str, Any] = field(default_factory=dict)
+    
+    def __post_init__(self):
+        if not self.timestamp:
+            from datetime import datetime, timezone
+            self.timestamp = datetime.now(timezone.utc).isoformat()
+    
+    def calculate_summary(self) -> None:
+        """Calculate summary statistics from results."""
+        self.summary = ReportSummary(
+            total=len(self.results),
+            passed=sum(1 for r in self.results if r.status == CheckStatus.PASS),
+            warnings=sum(1 for r in self.results if r.status == CheckStatus.WARN),
+            failed=sum(1 for r in self.results if r.status == CheckStatus.FAIL),
+            skipped=sum(1 for r in self.results if r.status == CheckStatus.SKIP),
+            errors=sum(1 for r in self.results if r.status == CheckStatus.ERROR),
+        )
+    
+    def calculate_exit_code(self, strict: bool = False) -> int:
+        """
+        Calculate exit code based on results.
+        
+        Args:
+            strict: If True, treat warnings as failures
+            
+        Returns:
+            0: All passed (warnings allowed unless strict)
+            1: Failures present
+            2: Internal errors
+        """
+        if self.summary.errors > 0:
+            return 2
+        if self.summary.failed > 0:
+            return 1
+        if strict and self.summary.warnings > 0:
+            return 1
+        return 0
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary for JSON serialization."""
+        return {
+            "version": self.version,
+            "timestamp": self.timestamp,
+            "duration_ms": round(self.duration_ms, 2),
+            "environment": self.environment.to_dict(),
+            "results": [r.to_dict() for r in self.results],
+            "summary": self.summary.to_dict(),
+            "exit_code": self.exit_code,
+            "mode": self.mode,
+            "filters": self.filters,
+        }
+
+
+@dataclass
+class DoctorConfig:
+    """Configuration for doctor execution."""
+    deep: bool = False
+    timeout: float = 10.0
+    strict: bool = False
+    quiet: bool = False
+    no_color: bool = False
+    format: str = "text"
+    output_path: Optional[str] = None
+    only: List[str] = field(default_factory=list)
+    skip: List[str] = field(default_factory=list)
+    
+    # Subcommand-specific options
+    show_keys: bool = False
+    require_keys: List[str] = field(default_factory=list)
+    config_file: Optional[str] = None
+    dsn: Optional[str] = None
+    provider: Optional[str] = None
+    read_only: bool = True
+    mock: bool = True
+    live: bool = False
+    model: Optional[str] = None
+    budget_ms: Optional[int] = None
+    top_n: int = 10
+    fail_fast: bool = False
+    list_tools: bool = False
+    all_checks: bool = False
+    missing_only: bool = False
+    name: Optional[str] = None
+    category: Optional[str] = None
+    path: Optional[str] = None
+    save_report: bool = False

src/praisonai/praisonai/cli/features/doctor/registry.py

@@ -0,0 +1,239 @@
+"""
+Check registry for the Doctor CLI module.
+
+Manages registration and discovery of doctor checks.
+"""
+
+from typing import Callable, Dict, List, Optional, Set
+from .models import CheckDefinition, CheckCategory, CheckSeverity, CheckResult
+
+
+class CheckRegistry:
+    """
+    Registry for doctor checks.
+    
+    Manages check definitions and their implementations.
+    """
+    
+    _instance: Optional["CheckRegistry"] = None
+    
+    def __new__(cls) -> "CheckRegistry":
+        """Singleton pattern for global registry."""
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+            cls._instance._checks: Dict[str, CheckDefinition] = {}
+            cls._instance._implementations: Dict[str, Callable] = {}
+            cls._instance._initialized = False
+        return cls._instance
+    
+    @classmethod
+    def get_instance(cls) -> "CheckRegistry":
+        """Get the singleton instance."""
+        return cls()
+    
+    @classmethod
+    def reset(cls) -> None:
+        """Reset the registry (for testing)."""
+        cls._instance = None
+    
+    def register(
+        self,
+        id: str,
+        title: str,
+        description: str,
+        category: CheckCategory,
+        implementation: Callable,
+        severity: CheckSeverity = CheckSeverity.MEDIUM,
+        requires_deep: bool = False,
+        dependencies: Optional[List[str]] = None,
+        tags: Optional[List[str]] = None,
+    ) -> None:
+        """
+        Register a doctor check.
+        
+        Args:
+            id: Unique identifier (snake_case)
+            title: Human-readable title
+            description: Short description of what the check does
+            category: Check category
+            implementation: Callable that performs the check
+            severity: Severity level
+            requires_deep: Whether this check requires --deep mode
+            dependencies: List of check IDs this check depends on
+            tags: Optional tags for filtering
+        """
+        definition = CheckDefinition(
+            id=id,
+            title=title,
+            description=description,
+            category=category,
+            severity=severity,
+            requires_deep=requires_deep,
+            dependencies=dependencies or [],
+            tags=tags or [],
+        )
+        self._checks[id] = definition
+        self._implementations[id] = implementation
+    
+    def get_check(self, id: str) -> Optional[CheckDefinition]:
+        """Get a check definition by ID."""
+        return self._checks.get(id)
+    
+    def get_implementation(self, id: str) -> Optional[Callable]:
+        """Get a check implementation by ID."""
+        return self._implementations.get(id)
+    
+    def get_all_checks(self) -> List[CheckDefinition]:
+        """Get all registered checks."""
+        return list(self._checks.values())
+    
+    def get_check_ids(self) -> List[str]:
+        """Get all registered check IDs."""
+        return list(self._checks.keys())
+    
+    def get_checks_by_category(self, category: CheckCategory) -> List[CheckDefinition]:
+        """Get all checks in a category."""
+        return [c for c in self._checks.values() if c.category == category]
+    
+    def get_checks_by_tag(self, tag: str) -> List[CheckDefinition]:
+        """Get all checks with a specific tag."""
+        return [c for c in self._checks.values() if tag in c.tags]
+    
+    def filter_checks(
+        self,
+        only: Optional[List[str]] = None,
+        skip: Optional[List[str]] = None,
+        categories: Optional[List[CheckCategory]] = None,
+        deep_mode: bool = False,
+    ) -> List[CheckDefinition]:
+        """
+        Filter checks based on criteria.
+        
+        Args:
+            only: Only include these check IDs
+            skip: Skip these check IDs
+            categories: Only include checks in these categories
+            deep_mode: Include checks that require deep mode
+            
+        Returns:
+            Filtered list of check definitions
+        """
+        checks = list(self._checks.values())
+        
+        # Filter by only
+        if only:
+            only_set = set(only)
+            checks = [c for c in checks if c.id in only_set]
+        
+        # Filter by skip
+        if skip:
+            skip_set = set(skip)
+            checks = [c for c in checks if c.id not in skip_set]
+        
+        # Filter by categories
+        if categories:
+            checks = [c for c in checks if c.category in categories]
+        
+        # Filter by deep mode
+        if not deep_mode:
+            checks = [c for c in checks if not c.requires_deep]
+        
+        return checks
+    
+    def resolve_dependencies(self, check_ids: List[str]) -> List[str]:
+        """
+        Resolve check dependencies and return ordered list.
+        
+        Args:
+            check_ids: List of check IDs to resolve
+            
+        Returns:
+            Ordered list of check IDs with dependencies first
+        """
+        resolved: List[str] = []
+        seen: Set[str] = set()
+        
+        def resolve(id: str) -> None:
+            if id in seen:
+                return
+            seen.add(id)
+            
+            check = self._checks.get(id)
+            if check:
+                for dep in check.dependencies:
+                    resolve(dep)
+                resolved.append(id)
+        
+        for id in check_ids:
+            resolve(id)
+        
+        return resolved
+    
+    def list_checks_text(self) -> str:
+        """Generate text listing of all checks."""
+        lines = ["Available Doctor Checks:", ""]
+        
+        # Group by category
+        by_category: Dict[CheckCategory, List[CheckDefinition]] = {}
+        for check in self._checks.values():
+            if check.category not in by_category:
+                by_category[check.category] = []
+            by_category[check.category].append(check)
+        
+        for category in CheckCategory:
+            if category in by_category:
+                lines.append(f"  {category.value.upper()}:")
+                for check in sorted(by_category[category], key=lambda c: c.id):
+                    deep_marker = " [deep]" if check.requires_deep else ""
+                    lines.append(f"    {check.id:<30} {check.description}{deep_marker}")
+                lines.append("")
+        
+        return "\n".join(lines)
+
+
+# Global registry instance
+_registry = CheckRegistry()
+
+
+def register_check(
+    id: str,
+    title: str,
+    description: str,
+    category: CheckCategory,
+    severity: CheckSeverity = CheckSeverity.MEDIUM,
+    requires_deep: bool = False,
+    dependencies: Optional[List[str]] = None,
+    tags: Optional[List[str]] = None,
+):
+    """
+    Decorator to register a doctor check.
+    
+    Usage:
+        @register_check(
+            id="python_version",
+            title="Python Version",
+            description="Check Python version is 3.9+",
+            category=CheckCategory.ENVIRONMENT,
+        )
+        def check_python_version(config: DoctorConfig) -> CheckResult:
+            ...
+    """
+    def decorator(func: Callable) -> Callable:
+        _registry.register(
+            id=id,
+            title=title,
+            description=description,
+            category=category,
+            implementation=func,
+            severity=severity,
+            requires_deep=requires_deep,
+            dependencies=dependencies,
+            tags=tags,
+        )
+        return func
+    return decorator
+
+
+def get_registry() -> CheckRegistry:
+    """Get the global check registry."""
+    return _registry

src/praisonai/praisonai/cli/features/lite.py

@@ -0,0 +1,244 @@
+"""
+Lite Agent Handler for CLI.
+
+Provides access to the lightweight praisonaiagents.lite subpackage.
+Usage: praisonai lite [run|info]
+"""
+
+import os
+from typing import Any, Dict, Tuple
+from .base import FlagHandler
+
+
+class LiteHandler(FlagHandler):
+    """
+    Handler for lite agent commands.
+    
+    The lite subpackage provides a minimal agent framework without heavy
+    dependencies like litellm. Users can bring their own LLM client.
+    
+    Commands:
+        praisonai lite run "prompt"     - Run a lite agent with custom LLM
+        praisonai lite info             - Show lite package info
+        praisonai lite example          - Show example usage
+    """
+    
+    @property
+    def feature_name(self) -> str:
+        return "lite"
+    
+    @property
+    def flag_name(self) -> str:
+        return "lite"
+    
+    @property
+    def flag_help(self) -> str:
+        return "Use lightweight agent without heavy dependencies"
+    
+    def check_dependencies(self) -> Tuple[bool, str]:
+        """Check if lite package is available."""
+        import importlib.util
+        if importlib.util.find_spec("praisonaiagents.lite") is not None:
+            return True, ""
+        return False, "Lite package requires praisonaiagents>=0.5.0"
+    
+    def get_info(self) -> Dict[str, Any]:
+        """
+        Get information about the lite package.
+        
+        Returns:
+            Dict with package info
+        """
+        import importlib.util
+        if importlib.util.find_spec("praisonaiagents.lite") is None:
+            return {
+                "available": False,
+                "error": "praisonaiagents.lite not found"
+            }
+        
+        return {
+            "available": True,
+            "classes": ["LiteAgent", "LiteTask", "LiteToolResult"],
+            "decorators": ["@tool"],
+            "helpers": ["create_openai_llm_fn", "create_anthropic_llm_fn"],
+            "features": [
+                "BYO-LLM (Bring Your Own LLM)",
+                "Thread-safe chat history",
+                "Tool execution",
+                "No litellm dependency",
+                "Minimal memory footprint"
+            ]
+        }
+    
+    def show_example(self) -> str:
+        """
+        Show example usage of lite package.
+        
+        Returns:
+            Example code string
+        """
+        example = '''
+# Example: Using praisonaiagents.lite with custom LLM
+
+from praisonaiagents.lite import LiteAgent, tool
+
+# Define a custom LLM function
+def my_llm(messages):
+    """Your custom LLM implementation."""
+    # Example: Call OpenAI directly
+    import openai
+    client = openai.OpenAI()
+    response = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=messages
+    )
+    return response.choices[0].message.content
+
+# Or use the built-in OpenAI adapter
+from praisonaiagents.lite import create_openai_llm_fn
+llm_fn = create_openai_llm_fn(model="gpt-4o-mini")
+
+# Create a lite agent
+agent = LiteAgent(
+    name="MyAgent",
+    llm_fn=llm_fn,
+    instructions="You are a helpful assistant."
+)
+
+# Chat with the agent
+response = agent.chat("Hello!")
+print(response)
+
+# Define and use tools
+@tool
+def add_numbers(a: int, b: int) -> int:
+    """Add two numbers."""
+    return a + b
+
+agent_with_tools = LiteAgent(
+    name="MathAgent",
+    llm_fn=llm_fn,
+    tools=[add_numbers]
+)
+
+# Execute tool directly
+result = agent_with_tools.execute_tool("add_numbers", a=5, b=3)
+print(f"Result: {result.output}")  # Output: 8
+'''
+        return example
+    
+    def run_lite_agent(
+        self,
+        prompt: str,
+        model: str = "gpt-4o-mini",
+        provider: str = "openai"
+    ) -> str:
+        """
+        Run a lite agent with the given prompt.
+        
+        Args:
+            prompt: The prompt to send to the agent
+            model: Model name to use
+            provider: LLM provider (openai, anthropic)
+            
+        Returns:
+            Agent response
+        """
+        try:
+            from praisonaiagents.lite import LiteAgent, create_openai_llm_fn, create_anthropic_llm_fn
+            
+            # Create LLM function based on provider
+            if provider == "openai":
+                if not os.environ.get("OPENAI_API_KEY"):
+                    return "Error: OPENAI_API_KEY not set"
+                llm_fn = create_openai_llm_fn(model=model)
+            elif provider == "anthropic":
+                if not os.environ.get("ANTHROPIC_API_KEY"):
+                    return "Error: ANTHROPIC_API_KEY not set"
+                llm_fn = create_anthropic_llm_fn(model=model)
+            else:
+                return f"Error: Unknown provider '{provider}'. Use 'openai' or 'anthropic'."
+            
+            # Create and run agent
+            agent = LiteAgent(
+                name="LiteCLIAgent",
+                llm_fn=llm_fn,
+                instructions="You are a helpful assistant. Keep responses concise."
+            )
+            
+            return agent.chat(prompt)
+            
+        except ImportError as e:
+            return f"Error: {e}"
+        except Exception as e:
+            return f"Error: {e}"
+    
+    def handle(self, subcommand: str = "info", **kwargs) -> Any:
+        """
+        Handle lite subcommands.
+        
+        Args:
+            subcommand: One of run, info, example
+            **kwargs: Additional options (prompt, model, provider)
+            
+        Returns:
+            Results
+        """
+        if subcommand == "info":
+            info = self.get_info()
+            if info.get("available"):
+                print("praisonaiagents.lite - Lightweight Agent Package")
+                print("=" * 50)
+                print("\nClasses:", ", ".join(info["classes"]))
+                print("Decorators:", ", ".join(info["decorators"]))
+                print("Helpers:", ", ".join(info["helpers"]))
+                print("\nFeatures:")
+                for feature in info["features"]:
+                    print(f"  • {feature}")
+            else:
+                print(f"Lite package not available: {info.get('error')}")
+            return info
+            
+        elif subcommand == "example":
+            example = self.show_example()
+            print(example)
+            return example
+            
+        elif subcommand == "run":
+            prompt = kwargs.get("prompt", "Hello!")
+            model = kwargs.get("model", "gpt-4o-mini")
+            provider = kwargs.get("provider", "openai")
+            
+            response = self.run_lite_agent(prompt, model, provider)
+            print(response)
+            return response
+            
+        else:
+            print(f"Unknown subcommand: {subcommand}")
+            print("Available: info, example, run")
+            return None
+
+
+def run_lite_command(args) -> int:
+    """
+    Run lite command from CLI args.
+    
+    Args:
+        args: Parsed CLI arguments
+        
+    Returns:
+        Exit code (0 for success)
+    """
+    handler = LiteHandler()
+    subcommand = getattr(args, 'lite_command', 'info')
+    
+    kwargs = {}
+    if hasattr(args, 'prompt'):
+        kwargs['prompt'] = args.prompt
+    if hasattr(args, 'model'):
+        kwargs['model'] = args.model
+    if hasattr(args, 'provider'):
+        kwargs['provider'] = args.provider
+    
+    result = handler.handle(subcommand, **kwargs)
+    return 0 if result else 1

src/praisonai/praisonai/cli/features/performance.py

@@ -0,0 +1,308 @@
+"""
+Performance Handler for CLI.
+
+Provides performance benchmarking and regression testing.
+Usage: praisonai perf [benchmark|check|import-time|memory]
+"""
+
+import os
+import sys
+import subprocess
+from typing import Any, Dict, Tuple
+from .base import FlagHandler
+
+
+class PerformanceHandler(FlagHandler):
+    """
+    Handler for performance benchmarking commands.
+    
+    Commands:
+        praisonai perf benchmark     - Run full performance benchmark
+        praisonai perf import-time   - Measure import time only
+        praisonai perf memory        - Measure memory usage only
+        praisonai perf check         - Run regression check against targets
+        praisonai perf lazy-check    - Verify lazy imports are working
+    """
+    
+    # Performance targets
+    IMPORT_TIME_TARGET_MS = 200
+    IMPORT_TIME_HARD_FAIL_MS = 300
+    MEMORY_TARGET_MB = 30
+    MEMORY_HARD_FAIL_MB = 45
+    
+    @property
+    def feature_name(self) -> str:
+        return "performance"
+    
+    @property
+    def flag_name(self) -> str:
+        return "perf"
+    
+    @property
+    def flag_help(self) -> str:
+        return "Run performance benchmarks and regression checks"
+    
+    def check_dependencies(self) -> Tuple[bool, str]:
+        """Check if performance testing is available."""
+        return True, ""
+    
+    def measure_import_time(self, runs: int = 5) -> Dict[str, Any]:
+        """
+        Measure import time for praisonaiagents.
+        
+        Args:
+            runs: Number of runs to average
+            
+        Returns:
+            Dict with timing statistics
+        """
+        times = []
+        
+        for _ in range(runs):
+            code = """
+import time
+start = time.perf_counter()
+import praisonaiagents
+end = time.perf_counter()
+print(f"{(end - start) * 1000:.1f}")
+"""
+            result = subprocess.run(
+                [sys.executable, "-c", code],
+                capture_output=True,
+                text=True,
+                env={**os.environ, "PYTHONDONTWRITEBYTECODE": "1"}
+            )
+            if result.returncode == 0:
+                try:
+                    times.append(float(result.stdout.strip()))
+                except ValueError:
+                    pass
+        
+        if not times:
+            return {"error": "Failed to measure import time"}
+        
+        times.sort()
+        median = times[len(times) // 2]
+        
+        return {
+            "times": times,
+            "min": min(times),
+            "max": max(times),
+            "median": median,
+            "mean": sum(times) / len(times),
+            "pass": median < self.IMPORT_TIME_TARGET_MS,
+            "hard_fail": median > self.IMPORT_TIME_HARD_FAIL_MS
+        }
+    
+    def measure_memory(self) -> Dict[str, Any]:
+        """
+        Measure memory usage after importing praisonaiagents.
+        
+        Returns:
+            Dict with memory statistics
+        """
+        code = """
+import tracemalloc
+tracemalloc.start()
+import praisonaiagents
+current, peak = tracemalloc.get_traced_memory()
+tracemalloc.stop()
+print(f"{current / 1024 / 1024:.1f},{peak / 1024 / 1024:.1f}")
+"""
+        result = subprocess.run(
+            [sys.executable, "-c", code],
+            capture_output=True,
+            text=True,
+            env={**os.environ, "PYTHONDONTWRITEBYTECODE": "1"}
+        )
+        
+        if result.returncode != 0:
+            return {"error": f"Failed to measure memory: {result.stderr}"}
+        
+        try:
+            current, peak = result.stdout.strip().split(",")
+            current_mb = float(current)
+            peak_mb = float(peak)
+            
+            return {
+                "current_mb": current_mb,
+                "peak_mb": peak_mb,
+                "pass": current_mb < self.MEMORY_TARGET_MB,
+                "hard_fail": current_mb > self.MEMORY_HARD_FAIL_MB
+            }
+        except (ValueError, IndexError) as e:
+            return {"error": f"Failed to parse memory output: {e}"}
+    
+    def check_lazy_imports(self) -> Dict[str, bool]:
+        """
+        Check that heavy dependencies are not loaded at import time.
+        
+        Returns:
+            Dict mapping module name to whether it's lazy (True = good)
+        """
+        heavy_modules = ["litellm", "chromadb", "mem0", "requests"]
+        results = {}
+        
+        for module in heavy_modules:
+            code = f"""
+import sys
+# Clear any cached imports
+for key in list(sys.modules.keys()):
+    if key.startswith('{module}'):
+        del sys.modules[key]
+
+import praisonaiagents
+print('{module}' not in sys.modules)
+"""
+            result = subprocess.run(
+                [sys.executable, "-c", code],
+                capture_output=True,
+                text=True,
+                env={**os.environ, "PYTHONDONTWRITEBYTECODE": "1"}
+            )
+            
+            if result.returncode == 0:
+                results[module] = result.stdout.strip() == "True"
+            else:
+                results[module] = False
+        
+        return results
+    
+    def run_benchmark(self, verbose: bool = True) -> Dict[str, Any]:
+        """
+        Run full performance benchmark.
+        
+        Args:
+            verbose: Print results to console
+            
+        Returns:
+            Dict with all benchmark results
+        """
+        results = {}
+        
+        if verbose:
+            print("=" * 60)
+            print("PraisonAI Agents Performance Benchmark")
+            print("=" * 60)
+        
+        # Import time
+        if verbose:
+            print("\n[1/3] Measuring import time...")
+        results["import_time"] = self.measure_import_time()
+        
+        if verbose and "error" not in results["import_time"]:
+            median = results["import_time"]["median"]
+            status = "PASS" if results["import_time"]["pass"] else "FAIL"
+            print(f"      Median: {median:.1f}ms [{status}]")
+        
+        # Memory
+        if verbose:
+            print("\n[2/3] Measuring memory usage...")
+        results["memory"] = self.measure_memory()
+        
+        if verbose and "error" not in results["memory"]:
+            current = results["memory"]["current_mb"]
+            status = "PASS" if results["memory"]["pass"] else "WARN" if not results["memory"]["hard_fail"] else "FAIL"
+            print(f"      Current: {current:.1f}MB [{status}]")
+        
+        # Lazy imports
+        if verbose:
+            print("\n[3/3] Checking lazy imports...")
+        results["lazy_imports"] = self.check_lazy_imports()
+        
+        if verbose:
+            all_lazy = all(results["lazy_imports"].values())
+            status = "PASS" if all_lazy else "FAIL"
+            print(f"      All lazy: {all_lazy} [{status}]")
+            for module, is_lazy in results["lazy_imports"].items():
+                symbol = "✓" if is_lazy else "✗"
+                print(f"        {symbol} {module}")
+        
+        # Overall
+        overall_pass = (
+            results["import_time"].get("pass", False) and
+            not results["memory"].get("hard_fail", True) and
+            all(results["lazy_imports"].values())
+        )
+        results["overall_pass"] = overall_pass
+        
+        if verbose:
+            print("\n" + "=" * 60)
+            status = "PASS" if overall_pass else "FAIL"
+            print(f"Overall: [{status}]")
+            print("=" * 60)
+        
+        return results
+    
+    def run_check(self) -> bool:
+        """
+        Run regression check against targets.
+        
+        Returns:
+            True if all checks pass
+        """
+        results = self.run_benchmark(verbose=True)
+        return results.get("overall_pass", False)
+    
+    def handle(self, subcommand: str = "benchmark", **kwargs) -> Any:
+        """
+        Handle performance subcommands.
+        
+        Args:
+            subcommand: One of benchmark, import-time, memory, check, lazy-check
+            **kwargs: Additional options
+            
+        Returns:
+            Results dict or bool
+        """
+        if subcommand == "benchmark":
+            return self.run_benchmark(verbose=True)
+        elif subcommand == "import-time":
+            result = self.measure_import_time()
+            if "error" not in result:
+                print(f"Import time: {result['median']:.1f}ms (median)")
+                print(f"Target: <{self.IMPORT_TIME_TARGET_MS}ms")
+                print(f"Status: {'PASS' if result['pass'] else 'FAIL'}")
+            return result
+        elif subcommand == "memory":
+            result = self.measure_memory()
+            if "error" not in result:
+                print(f"Memory: {result['current_mb']:.1f}MB")
+                print(f"Target: <{self.MEMORY_TARGET_MB}MB")
+                print(f"Status: {'PASS' if result['pass'] else 'WARN' if not result['hard_fail'] else 'FAIL'}")
+            return result
+        elif subcommand == "check":
+            return self.run_check()
+        elif subcommand == "lazy-check":
+            results = self.check_lazy_imports()
+            print("Lazy Import Check:")
+            for module, is_lazy in results.items():
+                status = "LAZY (good)" if is_lazy else "EAGER (bad)"
+                print(f"  {module}: {status}")
+            return all(results.values())
+        else:
+            print(f"Unknown subcommand: {subcommand}")
+            print("Available: benchmark, import-time, memory, check, lazy-check")
+            return False
+
+
+# Convenience function for CLI integration
+def run_performance_command(args) -> int:
+    """
+    Run performance command from CLI args.
+    
+    Args:
+        args: Parsed CLI arguments
+        
+    Returns:
+        Exit code (0 for success)
+    """
+    handler = PerformanceHandler()
+    subcommand = getattr(args, 'perf_command', 'benchmark')
+    result = handler.handle(subcommand)
+    
+    if isinstance(result, bool):
+        return 0 if result else 1
+    elif isinstance(result, dict):
+        return 0 if result.get("overall_pass", result.get("pass", False)) else 1
+    return 0

src/praisonai/praisonai/cli/features/recipes.py

@@ -0,0 +1,449 @@
+"""
+Recipes CLI - Commands for managing and running Agent-Recipes.
+
+Provides commands for:
+- praison recipes list - List available recipes
+- praison recipes info <name> - Show recipe details
+- praison recipes run <name> <input> - Run a recipe
+- praison recipes doctor <name> - Check recipe dependencies
+- praison recipes explain <name> - Show recipe execution plan
+- praison recipes init <name> - Initialize recipe in current directory
+"""
+
+import os
+import sys
+import json
+import yaml
+import argparse
+import logging
+from pathlib import Path
+from typing import Optional, List, Dict, Any
+
+logger = logging.getLogger(__name__)
+
+# Recipe discovery paths in order of precedence
+RECIPE_PATHS = [
+    Path.home() / ".praison" / "templates",
+    Path.home() / ".config" / "praison" / "templates",
+    Path.cwd() / ".praison" / "templates",
+    Path("/Users/praison/Agent-Recipes/agent_recipes/templates"),
+]
+
+
+def find_recipe_paths() -> List[Path]:
+    """Find all valid recipe directories."""
+    paths = []
+    for p in RECIPE_PATHS:
+        if p.exists() and p.is_dir():
+            paths.append(p)
+    return paths
+
+
+def list_recipes() -> List[Dict[str, Any]]:
+    """List all available recipes."""
+    recipes = []
+    seen = set()
+    
+    for base_path in find_recipe_paths():
+        for recipe_dir in base_path.iterdir():
+            if not recipe_dir.is_dir():
+                continue
+            
+            template_file = recipe_dir / "TEMPLATE.yaml"
+            if not template_file.exists():
+                continue
+            
+            name = recipe_dir.name
+            if name in seen:
+                continue
+            seen.add(name)
+            
+            try:
+                with open(template_file) as f:
+                    template = yaml.safe_load(f)
+                recipes.append({
+                    "name": name,
+                    "description": template.get("description", ""),
+                    "version": template.get("version", "1.0.0"),
+                    "tags": template.get("tags", []),
+                    "path": str(recipe_dir),
+                })
+            except Exception as e:
+                logger.warning(f"Failed to load recipe {name}: {e}")
+    
+    return sorted(recipes, key=lambda x: x["name"])
+
+
+def get_recipe(name: str) -> Optional[Dict[str, Any]]:
+    """Get recipe by name."""
+    for base_path in find_recipe_paths():
+        recipe_dir = base_path / name
+        template_file = recipe_dir / "TEMPLATE.yaml"
+        
+        if template_file.exists():
+            with open(template_file) as f:
+                template = yaml.safe_load(f)
+            template["path"] = str(recipe_dir)
+            return template
+    
+    return None
+
+
+def check_dependencies(recipe: Dict[str, Any]) -> Dict[str, bool]:
+    """Check if recipe dependencies are satisfied."""
+    results = {}
+    requires = recipe.get("requires", {})
+    
+    # Check environment variables
+    for env_var in requires.get("env", []):
+        results[f"env:{env_var}"] = bool(os.environ.get(env_var))
+    
+    # Check Python packages
+    for package in requires.get("packages", []):
+        try:
+            __import__(package.replace("-", "_").split("[")[0])
+            results[f"package:{package}"] = True
+        except ImportError:
+            results[f"package:{package}"] = False
+    
+    # Check external tools
+    import shutil
+    for tool in requires.get("external", []):
+        results[f"external:{tool}"] = shutil.which(tool) is not None
+    
+    # Check recipe tools
+    for tool in requires.get("tools", []):
+        try:
+            from praisonai_tools.recipe_tools import __all__ as available_tools
+            # Check if tool class exists
+            tool_class = tool.replace("_tool", "").title() + "Tool"
+            results[f"tool:{tool}"] = tool_class in available_tools or tool in str(available_tools)
+        except ImportError:
+            results[f"tool:{tool}"] = False
+    
+    return results
+
+
+def cmd_list(args: argparse.Namespace) -> int:
+    """List available recipes."""
+    recipes = list_recipes()
+    
+    if args.json:
+        print(json.dumps(recipes, indent=2))
+        return 0
+    
+    if not recipes:
+        print("No recipes found.")
+        return 0
+    
+    # Group by first tag if available
+    if args.group:
+        groups = {}
+        for r in recipes:
+            tag = r["tags"][0] if r["tags"] else "other"
+            if tag not in groups:
+                groups[tag] = []
+            groups[tag].append(r)
+        
+        for group, group_recipes in sorted(groups.items()):
+            print(f"\n{group.upper()}:")
+            for r in group_recipes:
+                print(f"  {r['name']:<35} {r['description'][:50]}")
+    else:
+        print(f"{'Recipe':<35} {'Description':<50} {'Version'}")
+        print("-" * 95)
+        for r in recipes:
+            desc = r["description"][:47] + "..." if len(r["description"]) > 50 else r["description"]
+            print(f"{r['name']:<35} {desc:<50} {r['version']}")
+    
+    print(f"\nTotal: {len(recipes)} recipes")
+    return 0
+
+
+def cmd_info(args: argparse.Namespace) -> int:
+    """Show recipe details."""
+    recipe = get_recipe(args.name)
+    
+    if not recipe:
+        print(f"Recipe not found: {args.name}")
+        return 1
+    
+    if args.json:
+        print(json.dumps(recipe, indent=2, default=str))
+        return 0
+    
+    print(f"Name: {recipe.get('name', args.name)}")
+    print(f"Version: {recipe.get('version', '1.0.0')}")
+    print(f"Description: {recipe.get('description', '')}")
+    print(f"Author: {recipe.get('author', 'unknown')}")
+    print(f"License: {recipe.get('license', 'unknown')}")
+    print(f"Path: {recipe.get('path', '')}")
+    
+    if recipe.get("tags"):
+        print(f"Tags: {', '.join(recipe['tags'])}")
+    
+    requires = recipe.get("requires", {})
+    if requires:
+        print("\nRequirements:")
+        if requires.get("env"):
+            print(f"  Environment: {', '.join(requires['env'])}")
+        if requires.get("packages"):
+            print(f"  Packages: {', '.join(requires['packages'])}")
+        if requires.get("external"):
+            print(f"  External: {', '.join(requires['external'])}")
+        if requires.get("tools"):
+            print(f"  Tools: {', '.join(requires['tools'])}")
+    
+    cli = recipe.get("cli", {})
+    if cli:
+        print("\nCLI:")
+        print(f"  Command: {cli.get('command', '')}")
+        if cli.get("examples"):
+            print("  Examples:")
+            for ex in cli["examples"]:
+                print(f"    {ex}")
+    
+    safety = recipe.get("safety", {})
+    if safety:
+        print("\nSafety:")
+        print(f"  Dry-run default: {safety.get('dry_run_default', False)}")
+        if safety.get("requires_consent"):
+            print(f"  Requires consent: {safety.get('consent_message', 'Yes')}")
+        if safety.get("legal_disclaimer"):
+            print(f"  Legal disclaimer: {safety.get('legal_disclaimer')}")
+    
+    return 0
+
+
+def cmd_doctor(args: argparse.Namespace) -> int:
+    """Check recipe dependencies."""
+    recipe = get_recipe(args.name)
+    
+    if not recipe:
+        print(f"Recipe not found: {args.name}")
+        return 1
+    
+    print(f"Checking dependencies for: {args.name}")
+    print("-" * 50)
+    
+    deps = check_dependencies(recipe)
+    all_ok = True
+    
+    for dep, status in sorted(deps.items()):
+        icon = "✓" if status else "✗"
+        color = "\033[92m" if status else "\033[91m"
+        reset = "\033[0m"
+        print(f"  {color}{icon}{reset} {dep}")
+        if not status:
+            all_ok = False
+    
+    print("-" * 50)
+    if all_ok:
+        print("All dependencies satisfied!")
+        return 0
+    else:
+        print("\nMissing dependencies. Install with:")
+        requires = recipe.get("requires", {})
+        
+        if requires.get("packages"):
+            missing_pkgs = [p for p in requires["packages"] if not deps.get(f"package:{p}", True)]
+            if missing_pkgs:
+                print(f"  pip install {' '.join(missing_pkgs)}")
+        
+        if requires.get("external"):
+            missing_ext = [e for e in requires["external"] if not deps.get(f"external:{e}", True)]
+            if missing_ext:
+                print(f"  # Install external tools: {', '.join(missing_ext)}")
+        
+        if requires.get("env"):
+            missing_env = [e for e in requires["env"] if not deps.get(f"env:{e}", True)]
+            if missing_env:
+                print(f"  # Set environment variables: {', '.join(missing_env)}")
+        
+        return 1
+
+
+def cmd_run(args: argparse.Namespace) -> int:
+    """Run a recipe."""
+    recipe = get_recipe(args.name)
+    
+    if not recipe:
+        print(f"Recipe not found: {args.name}")
+        return 1
+    
+    # Check safety requirements
+    safety = recipe.get("safety", {})
+    
+    if safety.get("requires_consent") and not args.consent:
+        print(f"This recipe requires consent: {safety.get('consent_message', '')}")
+        print("Use --consent flag to acknowledge.")
+        return 1
+    
+    if safety.get("legal_disclaimer"):
+        print(f"LEGAL DISCLAIMER: {safety['legal_disclaimer']}")
+    
+    # Check dependencies
+    if not args.skip_checks:
+        deps = check_dependencies(recipe)
+        missing = [k for k, v in deps.items() if not v]
+        if missing:
+            print(f"Missing dependencies: {', '.join(missing)}")
+            print("Run 'praison recipes doctor {args.name}' for details.")
+            if not args.force:
+                return 1
+    
+    # Dry run mode
+    if args.dry_run or (safety.get("dry_run_default") and not args.write):
+        print(f"DRY RUN: Would execute recipe '{args.name}'")
+        print(f"  Input: {args.input}")
+        print(f"  Output: {args.output or 'default'}")
+        print("\nUse --write to execute.")
+        return 0
+    
+    # Execute recipe
+    print(f"Running recipe: {args.name}")
+    print(f"Input: {args.input}")
+    
+    # TODO: Implement actual recipe execution via praisonaiagents
+    # For now, show what would be executed
+    print("\nRecipe execution would involve:")
+    for tool in recipe.get("requires", {}).get("tools", []):
+        print(f"  - Using {tool}")
+    
+    print("\nRecipe execution completed (placeholder).")
+    return 0
+
+
+def cmd_explain(args: argparse.Namespace) -> int:
+    """Explain recipe execution plan."""
+    recipe = get_recipe(args.name)
+    
+    if not recipe:
+        print(f"Recipe not found: {args.name}")
+        return 1
+    
+    print(f"Execution Plan for: {args.name}")
+    print("=" * 50)
+    
+    print("\n1. Dependency Check:")
+    for tool in recipe.get("requires", {}).get("tools", []):
+        print(f"   - Load {tool}")
+    
+    print("\n2. Input Processing:")
+    inputs = recipe.get("inputs", {})
+    for name, spec in inputs.items():
+        print(f"   - {name}: {spec.get('type', 'unknown')}")
+    
+    print("\n3. Execution:")
+    print(f"   - Run recipe workflow")
+    
+    print("\n4. Output:")
+    outputs = recipe.get("outputs", {})
+    for name, spec in outputs.items():
+        print(f"   - {name}: {spec.get('type', 'unknown')}")
+    
+    return 0
+
+
+def cmd_init(args: argparse.Namespace) -> int:
+    """Initialize recipe in current directory."""
+    recipe = get_recipe(args.name)
+    
+    if not recipe:
+        print(f"Recipe not found: {args.name}")
+        return 1
+    
+    target_dir = Path(args.output) if args.output else Path.cwd() / args.name
+    
+    if target_dir.exists() and not args.force:
+        print(f"Directory already exists: {target_dir}")
+        print("Use --force to overwrite.")
+        return 1
+    
+    import shutil
+    source_dir = Path(recipe["path"])
+    
+    if args.dry_run:
+        print(f"DRY RUN: Would copy {source_dir} to {target_dir}")
+        return 0
+    
+    target_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Copy recipe files
+    for item in source_dir.iterdir():
+        if item.is_file():
+            shutil.copy2(item, target_dir / item.name)
+    
+    print(f"Initialized recipe '{args.name}' in {target_dir}")
+    return 0
+
+
+def setup_parser(subparsers: argparse._SubParsersAction) -> None:
+    """Setup recipes subcommand parser."""
+    recipes_parser = subparsers.add_parser(
+        "recipes",
+        help="Manage and run Agent-Recipes",
+        description="Commands for managing and running Agent-Recipes templates.",
+    )
+    
+    recipes_subparsers = recipes_parser.add_subparsers(dest="recipes_command")
+    
+    # List command
+    list_parser = recipes_subparsers.add_parser("list", help="List available recipes")
+    list_parser.add_argument("--json", action="store_true", help="Output as JSON")
+    list_parser.add_argument("--group", action="store_true", help="Group by category")
+    list_parser.set_defaults(func=cmd_list)
+    
+    # Info command
+    info_parser = recipes_subparsers.add_parser("info", help="Show recipe details")
+    info_parser.add_argument("name", help="Recipe name")
+    info_parser.add_argument("--json", action="store_true", help="Output as JSON")
+    info_parser.set_defaults(func=cmd_info)
+    
+    # Doctor command
+    doctor_parser = recipes_subparsers.add_parser("doctor", help="Check recipe dependencies")
+    doctor_parser.add_argument("name", help="Recipe name")
+    doctor_parser.set_defaults(func=cmd_doctor)
+    
+    # Run command
+    run_parser = recipes_subparsers.add_parser("run", help="Run a recipe")
+    run_parser.add_argument("name", help="Recipe name")
+    run_parser.add_argument("input", nargs="?", help="Input file or value")
+    run_parser.add_argument("--output", "-o", help="Output directory")
+    run_parser.add_argument("--dry-run", action="store_true", help="Show what would be done")
+    run_parser.add_argument("--write", action="store_true", help="Actually execute (for dry-run-default recipes)")
+    run_parser.add_argument("--force", action="store_true", help="Force execution despite missing deps")
+    run_parser.add_argument("--consent", action="store_true", help="Acknowledge consent requirements")
+    run_parser.add_argument("--skip-checks", action="store_true", help="Skip dependency checks")
+    run_parser.add_argument("--json", action="store_true", help="Output as JSON")
+    run_parser.set_defaults(func=cmd_run)
+    
+    # Explain command
+    explain_parser = recipes_subparsers.add_parser("explain", help="Explain recipe execution plan")
+    explain_parser.add_argument("name", help="Recipe name")
+    explain_parser.set_defaults(func=cmd_explain)
+    
+    # Init command
+    init_parser = recipes_subparsers.add_parser("init", help="Initialize recipe in directory")
+    init_parser.add_argument("name", help="Recipe name")
+    init_parser.add_argument("--output", "-o", help="Target directory")
+    init_parser.add_argument("--force", action="store_true", help="Overwrite existing")
+    init_parser.add_argument("--dry-run", action="store_true", help="Show what would be done")
+    init_parser.set_defaults(func=cmd_init)
+
+
+def handle_recipes_command(args: argparse.Namespace) -> int:
+    """Handle recipes subcommand."""
+    if not hasattr(args, "func"):
+        # No subcommand specified, show help
+        print("Usage: praison recipes <command> [options]")
+        print("\nCommands:")
+        print("  list     List available recipes")
+        print("  info     Show recipe details")
+        print("  doctor   Check recipe dependencies")
+        print("  run      Run a recipe")
+        print("  explain  Explain recipe execution plan")
+        print("  init     Initialize recipe in directory")
+        return 0
+    
+    return args.func(args)

src/praisonai/praisonai/cli/features/serve.py

@@ -0,0 +1,812 @@
+"""
+Serve CLI Feature Handler
+
+Provides CLI commands for launching PraisonAI servers:
+- praisonai serve agents - Launch agents as HTTP API
+- praisonai serve recipe - Launch recipe runner
+- praisonai serve mcp - Launch MCP server
+- praisonai serve tools - Launch tools as MCP server
+- praisonai serve a2a - Launch A2A server
+- praisonai serve a2u - Launch A2U event stream server
+- praisonai serve unified - Launch unified server with all providers
+
+All servers include the unified discovery endpoint at /__praisonai__/discovery.
+"""
+
+import os
+import sys
+from typing import Any, Dict, List
+
+
+class ServeHandler:
+    """
+    CLI handler for serve operations.
+    
+    Commands:
+    - agents: Launch agents as HTTP API
+    - recipe: Launch recipe runner
+    - mcp: Launch MCP server
+    - tools: Launch tools as MCP server
+    - a2a: Launch A2A server
+    - a2u: Launch A2U event stream server
+    - unified: Launch unified server
+    """
+    
+    EXIT_SUCCESS = 0
+    EXIT_GENERAL_ERROR = 1
+    EXIT_VALIDATION_ERROR = 2
+    
+    DEFAULT_HOST = "127.0.0.1"
+    DEFAULT_PORT = 8765
+    
+    def __init__(self):
+        """Initialize the handler."""
+        pass
+    
+    def handle(self, args: List[str]) -> int:
+        """
+        Handle serve subcommand.
+        
+        Args:
+            args: Command arguments
+            
+        Returns:
+            Exit code
+        """
+        if not args:
+            self._print_help()
+            return self.EXIT_SUCCESS
+        
+        command = args[0]
+        remaining = args[1:]
+        
+        commands = {
+            "agents": self.cmd_agents,
+            "recipe": self.cmd_recipe,
+            "mcp": self.cmd_mcp,
+            "tools": self.cmd_tools,
+            "a2a": self.cmd_a2a,
+            "a2u": self.cmd_a2u,
+            "unified": self.cmd_unified,
+            "help": lambda _: self._print_help() or self.EXIT_SUCCESS,
+            "--help": lambda _: self._print_help() or self.EXIT_SUCCESS,
+            "-h": lambda _: self._print_help() or self.EXIT_SUCCESS,
+        }
+        
+        if command in commands:
+            return commands[command](remaining)
+        else:
+            self._print_error(f"Unknown command: {command}")
+            self._print_help()
+            return self.EXIT_GENERAL_ERROR
+    
+    def _print_help(self):
+        """Print help message."""
+        help_text = """
+[bold cyan]PraisonAI Serve[/bold cyan]
+
+Launch PraisonAI servers with unified discovery support.
+
+[bold]Usage:[/bold]
+  praisonai serve <command> [options]
+
+[bold]Commands:[/bold]
+  agents            Launch agents as HTTP API
+  recipe            Launch recipe runner server
+  mcp               Launch MCP server (HTTP mode)
+  tools             Launch tools as MCP server
+  a2a               Launch A2A protocol server
+  a2u               Launch A2U event stream server
+  unified           Launch unified server with all providers
+
+[bold]Common Options:[/bold]
+  --host <host>     Server host (default: 127.0.0.1)
+  --port <port>     Server port (default: 8765)
+  --reload          Enable hot reload
+  --api-key <key>   API key for authentication
+
+[bold]Agents Options:[/bold]
+  --file <path>     Agents YAML file (default: agents.yaml)
+  --path <path>     API endpoint path (default: /agents)
+
+[bold]Recipe Options:[/bold]
+  --config <path>   Config file path (serve.yaml)
+  --preload         Preload all recipes
+
+[bold]MCP Options:[/bold]
+  --transport       Transport type: http, sse (default: http)
+
+[bold]Examples:[/bold]
+  praisonai serve agents --file agents.yaml --port 8000
+  praisonai serve recipe --port 8765
+  praisonai serve mcp --transport http --port 8080
+  praisonai serve tools --port 8081
+  praisonai serve a2a --port 8082
+  praisonai serve unified --port 8765
+
+[bold]Discovery:[/bold]
+  All servers expose /__praisonai__/discovery for unified endpoint discovery.
+  Use `praisonai endpoints` to interact with any server.
+"""
+        self._print_rich(help_text)
+    
+    def _print_rich(self, text: str):
+        """Print with rich formatting if available."""
+        try:
+            from rich import print as rprint
+            rprint(text)
+        except ImportError:
+            import re
+            plain = re.sub(r'\[/?[^\]]+\]', '', text)
+            print(plain)
+    
+    def _print_error(self, message: str):
+        """Print error message."""
+        try:
+            from rich import print as rprint
+            rprint(f"[red]Error: {message}[/red]")
+        except ImportError:
+            print(f"Error: {message}", file=sys.stderr)
+    
+    def _print_success(self, message: str):
+        """Print success message."""
+        try:
+            from rich import print as rprint
+            rprint(f"[green]✓ {message}[/green]")
+        except ImportError:
+            print(f"✓ {message}")
+    
+    def _parse_args(self, args: List[str], spec: Dict[str, Any]) -> Dict[str, Any]:
+        """Parse command arguments based on spec."""
+        result = {k: v.get("default") for k, v in spec.items()}
+        
+        i = 0
+        while i < len(args):
+            arg = args[i]
+            
+            if arg.startswith("--"):
+                key = arg[2:].replace("-", "_")
+                if key in spec:
+                    if spec[key].get("flag"):
+                        result[key] = True
+                    elif i + 1 < len(args):
+                        value = args[i + 1]
+                        # Type conversion
+                        if spec[key].get("type") == "int":
+                            value = int(value)
+                        result[key] = value
+                        i += 1
+                i += 1
+            else:
+                i += 1
+        
+        return result
+    
+    def cmd_agents(self, args: List[str]) -> int:
+        """Launch agents as HTTP API."""
+        spec = {
+            "file": {"default": "agents.yaml"},
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": self.DEFAULT_PORT, "type": "int"},
+            "path": {"default": "/agents"},
+            "reload": {"flag": True, "default": False},
+            "api_key": {"default": None},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        # Check if agents file exists
+        if not os.path.exists(parsed["file"]):
+            self._print_error(f"Agents file not found: {parsed['file']}")
+            return self.EXIT_VALIDATION_ERROR
+        
+        try:
+            self._print_success(f"Starting agents server on {parsed['host']}:{parsed['port']}")
+            print(f"  Agents file: {parsed['file']}")
+            print(f"  Endpoint: {parsed['path']}")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            # Create and run server
+            app = self._create_agents_app(parsed)
+            self._run_server(app, parsed["host"], parsed["port"], parsed["reload"])
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            print("Install with: pip install praisonai[serve]")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def _create_agents_app(self, config: Dict[str, Any]) -> Any:
+        """Create FastAPI app for agents."""
+        from fastapi import FastAPI, HTTPException, Request
+        from fastapi.responses import JSONResponse
+        from pydantic import BaseModel
+        
+        from praisonai.endpoints.discovery import (
+            create_discovery_document,
+            EndpointInfo,
+            ProviderInfo,
+        )
+        from praisonai.endpoints.server import add_discovery_routes
+        
+        # Load agents from YAML
+        import yaml
+        with open(config["file"]) as f:
+            _ = yaml.safe_load(f)  # Validate YAML
+        
+        # Create discovery document
+        discovery = create_discovery_document(server_name="praisonai-agents")
+        discovery.add_provider(ProviderInfo(
+            type="agents-api",
+            name="Agents API",
+            description="Agent HTTP API endpoints",
+            capabilities=["invoke", "health"],
+        ))
+        
+        # Create app
+        app = FastAPI(
+            title="PraisonAI Agents API",
+            description="HTTP API for PraisonAI Agents",
+        )
+        
+        # Add discovery routes
+        add_discovery_routes(app, discovery)
+        
+        # Request model
+        class AgentQuery(BaseModel):
+            query: str
+        
+        # Create endpoint for agents
+        path = config["path"]
+        
+        @app.post(path)
+        async def invoke_agents(request: Request, query_data: AgentQuery = None):
+            """Invoke agents with a query."""
+            if query_data is None:
+                try:
+                    body = await request.json()
+                    _ = body.get("query", "")  # Extract query
+                except Exception:
+                    raise HTTPException(status_code=400, detail="Invalid request")
+            
+            try:
+                # Lazy load and run agents
+                from praisonai.agents_generator import AgentsGenerator
+                
+                generator = AgentsGenerator(
+                    agent_file=config["file"],
+                    framework="praisonai",
+                )
+                result = generator.generate_crew_and_kickoff()
+                
+                return {"response": result}
+            except Exception as e:
+                return JSONResponse(
+                    {"error": str(e)},
+                    status_code=500,
+                )
+        
+        # Add endpoint to discovery
+        discovery.add_endpoint(EndpointInfo(
+            name=path.lstrip("/"),
+            description="Invoke agents workflow",
+            provider_type="agents-api",
+            input_schema={"type": "object", "properties": {"query": {"type": "string"}}},
+            streaming=["none"],
+        ))
+        
+        # Root endpoint
+        @app.get("/")
+        async def root():
+            return {
+                "message": "PraisonAI Agents API",
+                "endpoints": [path],
+                "discovery": "/__praisonai__/discovery",
+            }
+        
+        return app
+    
+    def cmd_recipe(self, args: List[str]) -> int:
+        """Launch recipe runner server."""
+        spec = {
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": self.DEFAULT_PORT, "type": "int"},
+            "config": {"default": None},
+            "reload": {"flag": True, "default": False},
+            "api_key": {"default": None},
+            "preload": {"flag": True, "default": False},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        try:
+            self._print_success(f"Starting recipe server on {parsed['host']}:{parsed['port']}")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            from praisonai.recipe.serve import serve, load_config
+            
+            # Load config
+            config = load_config(parsed["config"]) if parsed["config"] else {}
+            if parsed["api_key"]:
+                config["api_key"] = parsed["api_key"]
+            
+            serve(
+                host=parsed["host"],
+                port=parsed["port"],
+                reload=parsed["reload"],
+                config=config,
+            )
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            print("Install with: pip install praisonai[serve]")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def cmd_mcp(self, args: List[str]) -> int:
+        """Launch MCP server."""
+        spec = {
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": 8080, "type": "int"},
+            "transport": {"default": "http"},
+            "tools_file": {"default": None},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        try:
+            self._print_success(f"Starting MCP server on {parsed['host']}:{parsed['port']}")
+            print(f"  Transport: {parsed['transport']}")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            app = self._create_mcp_app(parsed)
+            self._run_server(app, parsed["host"], parsed["port"], False)
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def _create_mcp_app(self, config: Dict[str, Any]) -> Any:
+        """Create FastAPI app for MCP server."""
+        from fastapi import FastAPI
+        
+        from praisonai.endpoints.discovery import (
+            create_discovery_document,
+            ProviderInfo,
+        )
+        from praisonai.endpoints.server import add_discovery_routes
+        
+        # Create discovery document
+        discovery = create_discovery_document(server_name="praisonai-mcp")
+        discovery.add_provider(ProviderInfo(
+            type="mcp",
+            name="MCP Server",
+            description=f"MCP server ({config['transport']} transport)",
+            capabilities=["list-tools", "call-tool"],
+        ))
+        
+        app = FastAPI(
+            title="PraisonAI MCP Server",
+            description="MCP protocol server",
+        )
+        
+        add_discovery_routes(app, discovery)
+        
+        # MCP tools endpoint
+        @app.get("/mcp/tools")
+        async def list_tools():
+            """List available MCP tools."""
+            # TODO: Load tools from config or registry
+            return {"tools": []}
+        
+        @app.post("/mcp/tools/call")
+        async def call_tool(request_data: dict):
+            """Call an MCP tool."""
+            tool_name = request_data.get("tool")
+            _ = request_data.get("arguments", {})  # Arguments for tool
+            
+            # TODO: Execute tool
+            return {"result": None, "tool": tool_name}
+        
+        @app.get("/")
+        async def root():
+            return {
+                "message": "PraisonAI MCP Server",
+                "transport": config["transport"],
+                "discovery": "/__praisonai__/discovery",
+            }
+        
+        return app
+    
+    def cmd_tools(self, args: List[str]) -> int:
+        """Launch tools as MCP server."""
+        spec = {
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": 8081, "type": "int"},
+            "tools_file": {"default": None},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        try:
+            self._print_success(f"Starting tools MCP server on {parsed['host']}:{parsed['port']}")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            app = self._create_tools_app(parsed)
+            self._run_server(app, parsed["host"], parsed["port"], False)
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def _create_tools_app(self, config: Dict[str, Any]) -> Any:
+        """Create FastAPI app for tools MCP server."""
+        from fastapi import FastAPI
+        
+        from praisonai.endpoints.discovery import (
+            create_discovery_document,
+            ProviderInfo,
+        )
+        from praisonai.endpoints.server import add_discovery_routes
+        
+        discovery = create_discovery_document(server_name="praisonai-tools-mcp")
+        discovery.add_provider(ProviderInfo(
+            type="tools-mcp",
+            name="Tools MCP Server",
+            description="Python tools exposed as MCP server",
+            capabilities=["list-tools", "call-tool"],
+        ))
+        
+        app = FastAPI(
+            title="PraisonAI Tools MCP Server",
+            description="Tools exposed as MCP server",
+        )
+        
+        add_discovery_routes(app, discovery)
+        
+        @app.get("/tools")
+        async def list_tools():
+            """List available tools."""
+            return {"tools": []}
+        
+        @app.post("/tools/call")
+        async def call_tool(request_data: dict):
+            """Call a tool."""
+            return {"result": None}
+        
+        @app.get("/")
+        async def root():
+            return {
+                "message": "PraisonAI Tools MCP Server",
+                "discovery": "/__praisonai__/discovery",
+            }
+        
+        return app
+    
+    def cmd_a2a(self, args: List[str]) -> int:
+        """Launch A2A protocol server."""
+        spec = {
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": 8082, "type": "int"},
+            "file": {"default": "agents.yaml"},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        try:
+            self._print_success(f"Starting A2A server on {parsed['host']}:{parsed['port']}")
+            print("  Agent Card: /.well-known/agent.json")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            app = self._create_a2a_app(parsed)
+            self._run_server(app, parsed["host"], parsed["port"], False)
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def _create_a2a_app(self, config: Dict[str, Any]) -> Any:
+        """Create FastAPI app for A2A server."""
+        from fastapi import FastAPI
+        
+        from praisonai.endpoints.discovery import (
+            create_discovery_document,
+            EndpointInfo,
+            ProviderInfo,
+        )
+        from praisonai.endpoints.server import add_discovery_routes
+        
+        discovery = create_discovery_document(server_name="praisonai-a2a")
+        discovery.add_provider(ProviderInfo(
+            type="a2a",
+            name="A2A Protocol",
+            description="Agent-to-Agent communication",
+            capabilities=["agent-card", "message-send"],
+        ))
+        
+        app = FastAPI(
+            title="PraisonAI A2A Server",
+            description="A2A protocol server",
+        )
+        
+        add_discovery_routes(app, discovery)
+        
+        # Agent card
+        @app.get("/.well-known/agent.json")
+        async def agent_card():
+            """Return agent card for A2A discovery."""
+            return {
+                "name": "PraisonAI Agent",
+                "description": "PraisonAI Agent via A2A protocol",
+                "version": "1.0.0",
+                "url": f"http://{config.get('host', 'localhost')}:{config.get('port', 8082)}/a2a",
+                "capabilities": {
+                    "streaming": True,
+                    "pushNotifications": False,
+                },
+                "skills": [],
+            }
+        
+        @app.get("/status")
+        async def status():
+            """Return server status."""
+            return {"status": "ok", "name": "PraisonAI A2A", "version": "1.0.0"}
+        
+        @app.post("/a2a")
+        async def a2a_endpoint(request_data: dict):
+            """Handle A2A JSON-RPC requests."""
+            method = request_data.get("method")
+            params = request_data.get("params", {})
+            request_id = request_data.get("id")
+            
+            if method == "message/send":
+                # Handle message
+                message = params.get("message", {})
+                parts = message.get("parts", [])
+                text = ""
+                for part in parts:
+                    if part.get("type") == "text":
+                        text += part.get("text", "")
+                
+                # TODO: Process with agent
+                return {
+                    "jsonrpc": "2.0",
+                    "id": request_id,
+                    "result": {
+                        "message": {
+                            "role": "assistant",
+                            "parts": [{"type": "text", "text": f"Received: {text}"}],
+                        },
+                    },
+                }
+            
+            return {
+                "jsonrpc": "2.0",
+                "id": request_id,
+                "error": {"code": -32601, "message": f"Method not found: {method}"},
+            }
+        
+        discovery.add_endpoint(EndpointInfo(
+            name="a2a",
+            description="A2A protocol endpoint",
+            provider_type="a2a",
+            streaming=["sse"],
+        ))
+        
+        @app.get("/")
+        async def root():
+            return {
+                "message": "PraisonAI A2A Server",
+                "agent_card": "/.well-known/agent.json",
+                "discovery": "/__praisonai__/discovery",
+            }
+        
+        return app
+    
+    def cmd_a2u(self, args: List[str]) -> int:
+        """Launch A2U event stream server."""
+        spec = {
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": 8083, "type": "int"},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        try:
+            self._print_success(f"Starting A2U server on {parsed['host']}:{parsed['port']}")
+            print("  Events: /a2u/events/<stream>")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            app = self._create_a2u_app(parsed)
+            self._run_server(app, parsed["host"], parsed["port"], False)
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def _create_a2u_app(self, config: Dict[str, Any]) -> Any:
+        """Create FastAPI app for A2U server."""
+        from fastapi import FastAPI
+        
+        from praisonai.endpoints.discovery import (
+            create_discovery_document,
+            EndpointInfo,
+            ProviderInfo,
+        )
+        from praisonai.endpoints.server import add_discovery_routes
+        from praisonai.endpoints.a2u_server import create_a2u_routes
+        
+        discovery = create_discovery_document(server_name="praisonai-a2u")
+        discovery.add_provider(ProviderInfo(
+            type="a2u",
+            name="A2U Event Stream",
+            description="Agent-to-User event streaming",
+            capabilities=["subscribe", "stream"],
+        ))
+        
+        app = FastAPI(
+            title="PraisonAI A2U Server",
+            description="A2U event stream server",
+        )
+        
+        add_discovery_routes(app, discovery)
+        create_a2u_routes(app)
+        
+        discovery.add_endpoint(EndpointInfo(
+            name="events",
+            description="Agent event stream",
+            provider_type="a2u",
+            streaming=["sse"],
+        ))
+        
+        @app.get("/")
+        async def root():
+            return {
+                "message": "PraisonAI A2U Server",
+                "events": "/a2u/events/<stream>",
+                "discovery": "/__praisonai__/discovery",
+            }
+        
+        return app
+    
+    def cmd_unified(self, args: List[str]) -> int:
+        """Launch unified server with all providers."""
+        spec = {
+            "host": {"default": self.DEFAULT_HOST},
+            "port": {"default": self.DEFAULT_PORT, "type": "int"},
+            "file": {"default": "agents.yaml"},
+            "reload": {"flag": True, "default": False},
+            "api_key": {"default": None},
+        }
+        parsed = self._parse_args(args, spec)
+        
+        try:
+            self._print_success(f"Starting unified server on {parsed['host']}:{parsed['port']}")
+            print("  Providers: agents-api, recipe, mcp, a2a, a2u")
+            print("  Discovery: /__praisonai__/discovery")
+            
+            app = self._create_unified_app(parsed)
+            self._run_server(app, parsed["host"], parsed["port"], parsed["reload"])
+            
+        except ImportError as e:
+            self._print_error(f"Missing dependency: {e}")
+            print("Install with: pip install praisonai[serve]")
+            return self.EXIT_GENERAL_ERROR
+        except Exception as e:
+            self._print_error(str(e))
+            return self.EXIT_GENERAL_ERROR
+        
+        return self.EXIT_SUCCESS
+    
+    def _create_unified_app(self, config: Dict[str, Any]) -> Any:
+        """Create unified FastAPI app with all providers."""
+        from fastapi import FastAPI
+        
+        from praisonai.endpoints.discovery import (
+            create_discovery_document,
+            EndpointInfo,
+            ProviderInfo,
+        )
+        from praisonai.endpoints.server import add_discovery_routes
+        from praisonai.endpoints.a2u_server import create_a2u_routes
+        
+        discovery = create_discovery_document(server_name="praisonai-unified")
+        
+        # Add all providers
+        discovery.add_provider(ProviderInfo(
+            type="agents-api",
+            name="Agents API",
+            capabilities=["invoke", "health"],
+        ))
+        discovery.add_provider(ProviderInfo(
+            type="recipe",
+            name="Recipe Runner",
+            capabilities=["list", "describe", "invoke", "stream"],
+        ))
+        discovery.add_provider(ProviderInfo(
+            type="mcp",
+            name="MCP Server",
+            capabilities=["list-tools", "call-tool"],
+        ))
+        discovery.add_provider(ProviderInfo(
+            type="a2a",
+            name="A2A Protocol",
+            capabilities=["agent-card", "message-send"],
+        ))
+        discovery.add_provider(ProviderInfo(
+            type="a2u",
+            name="A2U Event Stream",
+            capabilities=["subscribe", "stream"],
+        ))
+        
+        app = FastAPI(
+            title="PraisonAI Unified Server",
+            description="Unified server with all PraisonAI providers",
+        )
+        
+        add_discovery_routes(app, discovery)
+        create_a2u_routes(app)
+        
+        # Add sample endpoints
+        discovery.add_endpoint(EndpointInfo(
+            name="agents",
+            description="Agents workflow endpoint",
+            provider_type="agents-api",
+        ))
+        discovery.add_endpoint(EndpointInfo(
+            name="events",
+            description="Agent event stream",
+            provider_type="a2u",
+            streaming=["sse"],
+        ))
+        
+        @app.get("/")
+        async def root():
+            return {
+                "message": "PraisonAI Unified Server",
+                "providers": ["agents-api", "recipe", "mcp", "a2a", "a2u"],
+                "discovery": "/__praisonai__/discovery",
+            }
+        
+        @app.get("/.well-known/agent.json")
+        async def agent_card():
+            return {
+                "name": "PraisonAI Unified",
+                "description": "PraisonAI Unified Server",
+                "version": "1.0.0",
+            }
+        
+        return app
+    
+    def _run_server(self, app: Any, host: str, port: int, reload: bool) -> None:
+        """Run the server with uvicorn."""
+        import uvicorn
+        uvicorn.run(app, host=host, port=port, reload=reload)
+
+
+def handle_serve_command(args: List[str]) -> int:
+    """Entry point for serve command."""
+    handler = ServeHandler()
+    return handler.handle(args)

src/praisonai/praisonai/cli/features/templates.py

@@ -85,6 +85,9 @@ class TemplatesHandler:
             "add": self.cmd_add,
             "add-sources": self.cmd_add_sources,
             "remove-sources": self.cmd_remove_sources,
+            "browse": self.cmd_browse,
+            "catalog": self.cmd_catalog,
+            "validate": self.cmd_validate,
             "help": lambda _: self._print_help() or 0,
         }
         
@@ -115,6 +118,10 @@ class TemplatesHandler:
   add <source>      Add template from GitHub or local path
   add-sources <src> Add a template source to persistent config
   remove-sources    Remove a template source from config
+  browse            Open template catalog in browser
+  catalog build     Build catalog locally
+  catalog sync      Sync catalog sources
+  validate          Validate template YAML files
 
 [bold]Options:[/bold]
   --offline         Use only cached templates (no network)
@@ -936,6 +943,433 @@ class TemplatesHandler:
         print(f"\n✅ Removed template source: {source}")
         return 0
 
+    def cmd_browse(self, args: List[str]) -> int:
+        """
+        Open template catalog in browser.
+        
+        Args:
+            args: [--local] [--url <url>] [--print]
+        """
+        import webbrowser
+        
+        # Default catalog URL
+        catalog_url = "https://mervinpraison.github.io/praisonai-template-catalog"
+        
+        # Parse arguments
+        print_only = "--print" in args
+        local_mode = "--local" in args
+        
+        # Custom URL
+        if "--url" in args:
+            idx = args.index("--url")
+            if idx + 1 < len(args):
+                catalog_url = args[idx + 1]
+        
+        if local_mode:
+            print("Local catalog server not implemented yet.")
+            print(f"Visit the online catalog at: {catalog_url}")
+            return 0
+        
+        if print_only:
+            print(catalog_url)
+            return 0
+        
+        print(f"Opening template catalog: {catalog_url}")
+        try:
+            webbrowser.open(catalog_url)
+            return 0
+        except Exception as e:
+            print(f"Failed to open browser: {e}")
+            print(f"Visit: {catalog_url}")
+            return 1
+
+    def cmd_catalog(self, args: List[str]) -> int:
+        """
+        Catalog management commands.
+        
+        Subcommands:
+            build   Build catalog locally
+            sync    Sync catalog sources
+        """
+        if not args:
+            print("Usage: praisonai templates catalog <build|sync> [options]")
+            print("\nSubcommands:")
+            print("  build     Build catalog locally")
+            print("  sync      Sync catalog sources from GitHub")
+            print("\nExamples:")
+            print("  praisonai templates catalog build --out ./dist")
+            print("  praisonai templates catalog sync --source agent-recipes")
+            return 0
+        
+        subcmd = args[0]
+        remaining = args[1:]
+        
+        if subcmd == "build":
+            return self._catalog_build(remaining)
+        elif subcmd == "sync":
+            return self._catalog_sync(remaining)
+        else:
+            print(f"Unknown catalog command: {subcmd}")
+            return 1
+
+    def _catalog_build(self, args: List[str]) -> int:
+        """Build catalog locally."""
+        import subprocess
+        import os
+        
+        # Parse arguments
+        out_dir = None
+        source_dir = None
+        minify = "--minify" in args
+        
+        if "--out" in args:
+            idx = args.index("--out")
+            if idx + 1 < len(args):
+                out_dir = args[idx + 1]
+        
+        if "--source" in args:
+            idx = args.index("--source")
+            if idx + 1 < len(args):
+                source_dir = args[idx + 1]
+        
+        # Check if catalog repo is available locally
+        catalog_repo = Path.home() / "praisonai-template-catalog"
+        if not catalog_repo.exists():
+            # Try to find it relative to this package
+            possible_paths = [
+                Path(__file__).parent.parent.parent.parent.parent.parent / "praisonai-template-catalog",
+                Path.cwd() / "praisonai-template-catalog",
+            ]
+            for p in possible_paths:
+                if p.exists():
+                    catalog_repo = p
+                    break
+        
+        if catalog_repo.exists() and (catalog_repo / "scripts" / "build-catalog.js").exists():
+            print(f"Building catalog using: {catalog_repo}")
+            cmd = ["node", "scripts/build-catalog.js"]
+            if out_dir:
+                cmd.extend(["--out", out_dir])
+            if source_dir:
+                cmd.extend(["--source", source_dir])
+            if minify:
+                cmd.append("--minify")
+            
+            try:
+                result = subprocess.run(cmd, cwd=str(catalog_repo), capture_output=True, text=True)
+                print(result.stdout)
+                if result.stderr:
+                    print(result.stderr)
+                return result.returncode
+            except FileNotFoundError:
+                print("Node.js not found. Please install Node.js to build the catalog.")
+                return 1
+        else:
+            # Fallback: Generate minimal catalog using Python
+            print("Catalog repo not found locally. Generating minimal catalog...")
+            return self._generate_minimal_catalog(out_dir, source_dir)
+
+    def _generate_minimal_catalog(self, out_dir: str = None, source_dir: str = None) -> int:
+        """Generate minimal catalog JSON using Python."""
+        import json
+        from datetime import datetime
+        
+        try:
+            import yaml
+        except ImportError:
+            print("PyYAML not installed. Install with: pip install pyyaml")
+            return 1
+        
+        # Find templates
+        if source_dir:
+            templates_dir = Path(source_dir)
+        else:
+            # Try Agent-Recipes
+            possible_paths = [
+                Path.home() / "Agent-Recipes" / "agent_recipes" / "templates",
+                Path.cwd() / "Agent-Recipes" / "agent_recipes" / "templates",
+            ]
+            templates_dir = None
+            for p in possible_paths:
+                if p.exists():
+                    templates_dir = p
+                    break
+            
+            if not templates_dir:
+                # Try package templates
+                try:
+                    import agent_recipes
+                    templates_dir = Path(agent_recipes.__file__).parent / "templates"
+                except ImportError:
+                    pass
+        
+        if not templates_dir or not templates_dir.exists():
+            print("No templates directory found.")
+            return 1
+        
+        print(f"Scanning templates in: {templates_dir}")
+        
+        templates = []
+        for entry in templates_dir.iterdir():
+            if not entry.is_dir():
+                continue
+            template_yaml = entry / "TEMPLATE.yaml"
+            if template_yaml.exists():
+                try:
+                    with open(template_yaml) as f:
+                        data = yaml.safe_load(f)
+                    if data:
+                        templates.append({
+                            "name": data.get("name", entry.name),
+                            "version": data.get("version", "1.0.0"),
+                            "description": data.get("description", ""),
+                            "author": data.get("author", "Unknown"),
+                            "license": data.get("license", "Apache-2.0"),
+                            "tags": data.get("tags", []),
+                            "requires": data.get("requires", {}),
+                        })
+                except Exception as e:
+                    print(f"  Warning: Failed to parse {template_yaml}: {e}")
+        
+        # Output
+        output = {
+            "version": "1.0.0",
+            "generated_at": datetime.now().isoformat(),
+            "count": len(templates),
+            "templates": templates
+        }
+        
+        out_path = Path(out_dir) if out_dir else Path.cwd() / "templates.json"
+        if out_path.is_dir():
+            out_path = out_path / "templates.json"
+        
+        out_path.parent.mkdir(parents=True, exist_ok=True)
+        with open(out_path, "w") as f:
+            json.dump(output, f, indent=2)
+        
+        print(f"Generated: {out_path} ({len(templates)} templates)")
+        return 0
+
+    def _catalog_sync(self, args: List[str]) -> int:
+        """Sync catalog sources."""
+        import subprocess
+        
+        # Parse arguments
+        config_path = None
+        source_name = None
+        cache_dir = None
+        
+        if "--config" in args:
+            idx = args.index("--config")
+            if idx + 1 < len(args):
+                config_path = args[idx + 1]
+        
+        if "--source" in args:
+            idx = args.index("--source")
+            if idx + 1 < len(args):
+                source_name = args[idx + 1]
+        
+        if "--cache-dir" in args:
+            idx = args.index("--cache-dir")
+            if idx + 1 < len(args):
+                cache_dir = args[idx + 1]
+        
+        # Check if catalog repo is available
+        catalog_repo = Path.home() / "praisonai-template-catalog"
+        if catalog_repo.exists() and (catalog_repo / "scripts" / "sync-sources.js").exists():
+            print(f"Syncing using: {catalog_repo}")
+            cmd = ["node", "scripts/sync-sources.js"]
+            if config_path:
+                cmd.extend(["--config", config_path])
+            if source_name:
+                cmd.extend(["--source", source_name])
+            if cache_dir:
+                cmd.extend(["--cache-dir", cache_dir])
+            
+            try:
+                result = subprocess.run(cmd, cwd=str(catalog_repo), capture_output=True, text=True)
+                print(result.stdout)
+                if result.stderr:
+                    print(result.stderr)
+                return result.returncode
+            except FileNotFoundError:
+                print("Node.js not found. Please install Node.js.")
+                return 1
+        else:
+            # Fallback: Clone Agent-Recipes
+            print("Catalog repo not found. Cloning Agent-Recipes directly...")
+            cache_path = Path(cache_dir) if cache_dir else Path.home() / ".praison" / "cache"
+            cache_path.mkdir(parents=True, exist_ok=True)
+            
+            target = cache_path / "Agent-Recipes"
+            if target.exists():
+                print(f"Updating: {target}")
+                try:
+                    subprocess.run(["git", "-C", str(target), "pull", "--depth=1"], check=True)
+                    print("✓ Updated successfully")
+                    return 0
+                except subprocess.CalledProcessError as e:
+                    print(f"Failed to update: {e}")
+                    return 1
+            else:
+                print(f"Cloning to: {target}")
+                try:
+                    subprocess.run([
+                        "git", "clone", "--depth=1",
+                        "https://github.com/MervinPraison/Agent-Recipes.git",
+                        str(target)
+                    ], check=True)
+                    print("✓ Cloned successfully")
+                    return 0
+                except subprocess.CalledProcessError as e:
+                    print(f"Failed to clone: {e}")
+                    return 1
+
+    def cmd_validate(self, args: List[str]) -> int:
+        """
+        Validate template YAML files.
+        
+        Args:
+            args: [--source <dir>] [--strict] [--json]
+        """
+        import subprocess
+        
+        # Parse arguments
+        source_dir = None
+        strict = "--strict" in args
+        json_output = "--json" in args
+        
+        if "--source" in args:
+            idx = args.index("--source")
+            if idx + 1 < len(args):
+                source_dir = args[idx + 1]
+        
+        # Check if catalog repo is available
+        catalog_repo = Path.home() / "praisonai-template-catalog"
+        if catalog_repo.exists() and (catalog_repo / "scripts" / "validate-templates.js").exists():
+            cmd = ["node", "scripts/validate-templates.js"]
+            if source_dir:
+                cmd.extend(["--source", source_dir])
+            if strict:
+                cmd.append("--strict")
+            if json_output:
+                cmd.append("--json")
+            
+            try:
+                result = subprocess.run(cmd, cwd=str(catalog_repo), capture_output=True, text=True)
+                print(result.stdout)
+                if result.stderr:
+                    print(result.stderr)
+                return result.returncode
+            except FileNotFoundError:
+                print("Node.js not found.")
+                return 1
+        else:
+            # Fallback: Basic Python validation
+            return self._validate_templates_python(source_dir, strict, json_output)
+
+    def _validate_templates_python(self, source_dir: str = None, strict: bool = False, json_output: bool = False) -> int:
+        """Validate templates using Python."""
+        import json as json_module
+        
+        try:
+            import yaml
+        except ImportError:
+            print("PyYAML not installed. Install with: pip install pyyaml")
+            return 1
+        
+        # Find templates directory
+        if source_dir:
+            templates_dir = Path(source_dir)
+        else:
+            possible_paths = [
+                Path.home() / "Agent-Recipes" / "agent_recipes" / "templates",
+                Path.cwd() / "Agent-Recipes" / "agent_recipes" / "templates",
+            ]
+            templates_dir = None
+            for p in possible_paths:
+                if p.exists():
+                    templates_dir = p
+                    break
+        
+        if not templates_dir or not templates_dir.exists():
+            print(f"Templates directory not found: {source_dir or 'default locations'}")
+            return 1
+        
+        print(f"Validating templates in: {templates_dir}\n")
+        
+        results = []
+        errors_count = 0
+        warnings_count = 0
+        
+        for entry in sorted(templates_dir.iterdir()):
+            if not entry.is_dir() or entry.name.startswith("."):
+                continue
+            
+            template_yaml = entry / "TEMPLATE.yaml"
+            if not template_yaml.exists():
+                continue
+            
+            result = {"name": entry.name, "valid": True, "errors": [], "warnings": []}
+            
+            try:
+                with open(template_yaml) as f:
+                    data = yaml.safe_load(f)
+                
+                # Check required fields
+                required = ["name", "version", "description"]
+                for field in required:
+                    if not data.get(field):
+                        result["errors"].append(f"Missing required field: {field}")
+                        result["valid"] = False
+                
+                # Check version format
+                version = data.get("version", "")
+                if version and not self._is_valid_version(version):
+                    result["warnings"].append(f"Invalid version format: {version}")
+                
+                # Check workflow file
+                workflow = data.get("workflow", "workflow.yaml")
+                if isinstance(workflow, str) and not (entry / workflow).exists():
+                    if strict:
+                        result["errors"].append(f"Workflow file not found: {workflow}")
+                        result["valid"] = False
+                    else:
+                        result["warnings"].append(f"Workflow file not found: {workflow}")
+                
+            except yaml.YAMLError as e:
+                result["errors"].append(f"Invalid YAML: {e}")
+                result["valid"] = False
+            except Exception as e:
+                result["errors"].append(f"Error: {e}")
+                result["valid"] = False
+            
+            results.append(result)
+            errors_count += len(result["errors"])
+            warnings_count += len(result["warnings"])
+        
+        # Output
+        if json_output:
+            print(json_module.dumps(results, indent=2))
+        else:
+            for r in results:
+                status = "✓" if r["valid"] else "✗"
+                color = "\033[32m" if r["valid"] else "\033[31m"
+                print(f"{color}{status}\033[0m {r['name']}")
+                for err in r["errors"]:
+                    print(f"  \033[31m✗ ERROR:\033[0m {err}")
+                for warn in r["warnings"]:
+                    print(f"  \033[33m⚠ WARNING:\033[0m {warn}")
+            
+            print(f"\n{len(results)} templates checked, {errors_count} errors, {warnings_count} warnings")
+        
+        return 1 if errors_count > 0 else 0
+
+    def _is_valid_version(self, version: str) -> bool:
+        """Check if version string is valid semver."""
+        import re
+        return bool(re.match(r'^\d+\.\d+\.\d+', version))
+
 
 def import_time():
     """Get current time (helper for cache expiry display)."""

src/praisonai/praisonai/cli/main.py

@@ -698,7 +698,7 @@ class PraisonAI:
             return default_args
         
         # Define special commands
-        special_commands = ['chat', 'code', 'call', 'realtime', 'train', 'ui', 'context', 'research', 'memory', 'rules', 'workflow', 'hooks', 'knowledge', 'session', 'tools', 'todo', 'docs', 'mcp', 'commit', 'serve', 'schedule', 'skills', 'profile', 'eval', 'agents', 'run', 'thinking', 'compaction', 'output', 'deploy', 'templates', 'audio', 'embed', 'images', 'moderate', 'files', 'batches', 'vector-stores', 'rerank', 'ocr', 'assistants', 'fine-tuning', 'completions', 'messages', 'guardrails', 'rag', 'videos', 'a2a', 'containers', 'passthrough', 'responses', 'search', 'realtime-api']
+        special_commands = ['chat', 'code', 'call', 'realtime', 'train', 'ui', 'context', 'research', 'memory', 'rules', 'workflow', 'hooks', 'knowledge', 'session', 'tools', 'todo', 'docs', 'mcp', 'commit', 'serve', 'schedule', 'skills', 'profile', 'eval', 'agents', 'run', 'thinking', 'compaction', 'output', 'deploy', 'templates', 'recipe', 'endpoints', 'audio', 'embed', 'images', 'moderate', 'files', 'batches', 'vector-stores', 'rerank', 'ocr', 'assistants', 'fine-tuning', 'completions', 'messages', 'guardrails', 'rag', 'videos', 'a2a', 'containers', 'passthrough', 'responses', 'search', 'realtime-api', 'doctor']
         
         parser = argparse.ArgumentParser(prog="praisonai", description="praisonAI command-line interface")
         parser.add_argument("--framework", choices=["crewai", "autogen", "praisonai"], help="Specify the framework")
@@ -1186,6 +1186,24 @@ class PraisonAI:
                 exit_code = handle_templates_command(unknown_args)
                 sys.exit(exit_code)
             
+            elif args.command == 'recipe':
+                # Recipe command - new unified recipe system
+                from .features.recipe import handle_recipe_command
+                exit_code = handle_recipe_command(unknown_args)
+                sys.exit(exit_code)
+            
+            elif args.command == 'endpoints':
+                # Endpoints command - unified client CLI for all server types
+                from .features.endpoints import handle_endpoints_command
+                exit_code = handle_endpoints_command(unknown_args)
+                sys.exit(exit_code)
+            
+            elif args.command == 'serve':
+                # Serve command - launch PraisonAI servers
+                from .features.serve import handle_serve_command
+                exit_code = handle_serve_command(unknown_args)
+                sys.exit(exit_code)
+            
             elif args.command == 'agents':
                 # Agents command - run multiple agents with custom definitions
                 if not PRAISONAI_AVAILABLE:
@@ -1358,6 +1376,13 @@ class PraisonAI:
                 if handler:
                     exit_code = handler(args, unknown_args)
                     sys.exit(exit_code if exit_code else 0)
+            
+            elif args.command == 'doctor':
+                # Doctor command - comprehensive health checks and diagnostics
+                from .features.doctor.handler import DoctorHandler
+                handler = DoctorHandler()
+                exit_code = handler.run(unknown_args)
+                sys.exit(exit_code)
 
         # Only check framework availability for agent-related operations
         if not args.command and (args.init or args.auto or args.framework):

src/praisonai/praisonai/deploy.py

@@ -57,7 +57,7 @@ class CloudDeployer:
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.7.0 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.7.5 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/endpoints/__init__.py

@@ -0,0 +1,53 @@
+"""
+Unified Endpoints Module
+
+Provides unified discovery, provider adapters, and server utilities
+for all PraisonAI serve features.
+
+Provider Types:
+- recipe: Recipe runner endpoints
+- agents-api: Single/multi-agent HTTP API
+- mcp: MCP server (stdio, http, sse)
+- tools-mcp: Tools exposed as MCP server
+- a2a: Agent-to-agent protocol
+- a2u: Agent-to-user event stream
+
+Architecture:
+- Discovery schema is versioned and consistent across all providers
+- Provider adapters abstract protocol differences
+- CLI client uses unified discovery for list/describe/invoke/health
+"""
+
+# Lazy loading for all exports
+_lazy_imports = {
+    "DiscoveryDocument": ".discovery",
+    "EndpointInfo": ".discovery",
+    "ProviderInfo": ".discovery",
+    "SCHEMA_VERSION": ".discovery",
+    "create_discovery_document": ".discovery",
+    "BaseProvider": ".providers.base",
+    "RecipeProvider": ".providers.recipe",
+    "AgentsAPIProvider": ".providers.agents_api",
+    "MCPProvider": ".providers.mcp",
+    "ToolsMCPProvider": ".providers.tools_mcp",
+    "A2AProvider": ".providers.a2a",
+    "A2UProvider": ".providers.a2u",
+    "ProviderRegistry": ".registry",
+    "get_provider": ".registry",
+    "register_provider": ".registry",
+    "list_provider_types": ".registry",
+    "get_provider_class": ".registry",
+    "create_unified_app": ".server",
+    "add_discovery_routes": ".server",
+}
+
+def __getattr__(name: str):
+    if name in _lazy_imports:
+        module_path = _lazy_imports[name]
+        import importlib
+        module = importlib.import_module(module_path, package=__name__)
+        return getattr(module, name)
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+def __dir__():
+    return list(_lazy_imports.keys())

src/praisonai/praisonai/endpoints/a2u_server.py

@@ -0,0 +1,410 @@
+"""
+A2U (Agent-to-User) Event Stream Server
+
+Provides SSE-based event streaming for agent-to-user communication.
+"""
+
+import asyncio
+import json
+import logging
+import uuid
+from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from typing import Any, Dict, List, Optional, Set
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class A2UEvent:
+    """An event in the A2U stream."""
+    event_type: str
+    data: Dict[str, Any]
+    timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
+    event_id: str = field(default_factory=lambda: uuid.uuid4().hex[:12])
+    
+    def to_sse(self) -> str:
+        """Convert to SSE format."""
+        return f"event: {self.event_type}\ndata: {json.dumps(self.data)}\nid: {self.event_id}\n\n"
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "event_type": self.event_type,
+            "data": self.data,
+            "timestamp": self.timestamp,
+            "event_id": self.event_id,
+        }
+
+
+@dataclass
+class A2USubscription:
+    """A subscription to an A2U event stream."""
+    subscription_id: str
+    stream_name: str
+    filters: List[str] = field(default_factory=list)
+    created_at: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
+    
+    def matches_event(self, event: A2UEvent) -> bool:
+        """Check if event matches subscription filters."""
+        if not self.filters:
+            return True
+        return event.event_type in self.filters
+
+
+class A2UEventBus:
+    """
+    Event bus for A2U event distribution.
+    
+    Manages subscriptions and broadcasts events to subscribers.
+    """
+    
+    def __init__(self):
+        """Initialize the event bus."""
+        self._subscriptions: Dict[str, A2USubscription] = {}
+        self._queues: Dict[str, asyncio.Queue] = {}
+        self._streams: Dict[str, Set[str]] = {}  # stream_name -> subscription_ids
+    
+    def subscribe(
+        self,
+        stream_name: str = "events",
+        filters: Optional[List[str]] = None,
+    ) -> A2USubscription:
+        """
+        Subscribe to an event stream.
+        
+        Args:
+            stream_name: Name of the stream to subscribe to
+            filters: Optional list of event types to filter
+            
+        Returns:
+            A2USubscription object
+        """
+        subscription_id = f"sub-{uuid.uuid4().hex[:12]}"
+        subscription = A2USubscription(
+            subscription_id=subscription_id,
+            stream_name=stream_name,
+            filters=filters or [],
+        )
+        
+        self._subscriptions[subscription_id] = subscription
+        self._queues[subscription_id] = asyncio.Queue()
+        
+        if stream_name not in self._streams:
+            self._streams[stream_name] = set()
+        self._streams[stream_name].add(subscription_id)
+        
+        logger.debug(f"Created subscription {subscription_id} for stream {stream_name}")
+        return subscription
+    
+    def unsubscribe(self, subscription_id: str) -> bool:
+        """
+        Unsubscribe from an event stream.
+        
+        Args:
+            subscription_id: ID of the subscription to remove
+            
+        Returns:
+            True if unsubscribed, False if not found
+        """
+        if subscription_id not in self._subscriptions:
+            return False
+        
+        subscription = self._subscriptions[subscription_id]
+        
+        # Remove from stream set
+        if subscription.stream_name in self._streams:
+            self._streams[subscription.stream_name].discard(subscription_id)
+        
+        # Clean up
+        del self._subscriptions[subscription_id]
+        del self._queues[subscription_id]
+        
+        logger.debug(f"Removed subscription {subscription_id}")
+        return True
+    
+    async def publish(self, event: A2UEvent, stream_name: str = "events") -> int:
+        """
+        Publish an event to a stream.
+        
+        Args:
+            event: Event to publish
+            stream_name: Name of the stream
+            
+        Returns:
+            Number of subscribers that received the event
+        """
+        if stream_name not in self._streams:
+            return 0
+        
+        count = 0
+        for sub_id in self._streams[stream_name]:
+            subscription = self._subscriptions.get(sub_id)
+            if subscription and subscription.matches_event(event):
+                await self._queues[sub_id].put(event)
+                count += 1
+        
+        logger.debug(f"Published event {event.event_type} to {count} subscribers")
+        return count
+    
+    def publish_sync(self, event: A2UEvent, stream_name: str = "events") -> int:
+        """
+        Synchronously publish an event (creates event loop if needed).
+        
+        Args:
+            event: Event to publish
+            stream_name: Name of the stream
+            
+        Returns:
+            Number of subscribers that received the event
+        """
+        try:
+            loop = asyncio.get_event_loop()
+            if loop.is_running():
+                # Schedule in running loop
+                asyncio.ensure_future(self.publish(event, stream_name))
+                return len(self._streams.get(stream_name, set()))
+            else:
+                return loop.run_until_complete(self.publish(event, stream_name))
+        except RuntimeError:
+            # No event loop, create one
+            return asyncio.run(self.publish(event, stream_name))
+    
+    async def get_events(
+        self,
+        subscription_id: str,
+        timeout: float = 30.0,
+    ):
+        """
+        Async generator for subscription events.
+        
+        Args:
+            subscription_id: ID of the subscription
+            timeout: Timeout for waiting for events
+            
+        Yields:
+            A2UEvent objects
+        """
+        if subscription_id not in self._queues:
+            return
+        
+        queue = self._queues[subscription_id]
+        
+        while True:
+            try:
+                event = await asyncio.wait_for(queue.get(), timeout=timeout)
+                yield event
+            except asyncio.TimeoutError:
+                # Send keepalive
+                yield A2UEvent(event_type="keepalive", data={})
+
+
+# Global event bus instance
+_event_bus: Optional[A2UEventBus] = None
+
+
+def get_event_bus() -> A2UEventBus:
+    """Get or create the global event bus."""
+    global _event_bus
+    if _event_bus is None:
+        _event_bus = A2UEventBus()
+    return _event_bus
+
+
+def create_a2u_routes(app: Any, event_bus: Optional[A2UEventBus] = None) -> None:
+    """
+    Add A2U routes to a FastAPI/Starlette application.
+    
+    Args:
+        app: FastAPI or Starlette application
+        event_bus: Optional event bus (uses global if not provided)
+    """
+    bus = event_bus or get_event_bus()
+    
+    try:
+        from starlette.responses import JSONResponse, StreamingResponse
+        from starlette.routing import Route
+    except ImportError:
+        try:
+            from fastapi.responses import JSONResponse, StreamingResponse
+        except ImportError:
+            raise ImportError("Starlette or FastAPI required for A2U routes")
+    
+    async def a2u_info(request):
+        """GET /a2u/info - Get A2U server info."""
+        return JSONResponse({
+            "name": "A2U Event Stream",
+            "version": "1.0.0",
+            "streams": list(bus._streams.keys()) or ["events"],
+            "event_types": [
+                "agent.started",
+                "agent.thinking",
+                "agent.tool_call",
+                "agent.response",
+                "agent.completed",
+                "agent.error",
+            ],
+        })
+    
+    async def a2u_subscribe(request):
+        """POST /a2u/subscribe - Subscribe to an event stream."""
+        try:
+            body = await request.json()
+        except Exception:
+            body = {}
+        
+        stream_name = body.get("stream", "events")
+        filters = body.get("filters", [])
+        
+        subscription = bus.subscribe(stream_name, filters)
+        
+        base_url = str(request.url).rsplit("/", 1)[0]
+        
+        return JSONResponse({
+            "subscription_id": subscription.subscription_id,
+            "stream_name": subscription.stream_name,
+            "stream_url": f"{base_url}/events/{subscription.subscription_id}",
+            "created_at": subscription.created_at,
+        })
+    
+    async def a2u_unsubscribe(request):
+        """POST /a2u/unsubscribe - Unsubscribe from an event stream."""
+        try:
+            body = await request.json()
+        except Exception:
+            return JSONResponse({"error": "Invalid JSON"}, status_code=400)
+        
+        subscription_id = body.get("subscription_id")
+        if not subscription_id:
+            return JSONResponse({"error": "subscription_id required"}, status_code=400)
+        
+        if bus.unsubscribe(subscription_id):
+            return JSONResponse({"status": "unsubscribed"})
+        else:
+            return JSONResponse({"error": "Subscription not found"}, status_code=404)
+    
+    async def a2u_events_stream(request):
+        """GET /a2u/events/{stream_name} - Stream events via SSE."""
+        stream_name = request.path_params.get("stream_name", "events")
+        
+        # Create subscription for this stream
+        subscription = bus.subscribe(stream_name)
+        
+        async def event_generator():
+            try:
+                async for event in bus.get_events(subscription.subscription_id):
+                    yield event.to_sse()
+            finally:
+                bus.unsubscribe(subscription.subscription_id)
+        
+        return StreamingResponse(
+            event_generator(),
+            media_type="text/event-stream",
+            headers={
+                "Cache-Control": "no-cache",
+                "Connection": "keep-alive",
+                "X-Accel-Buffering": "no",
+            },
+        )
+    
+    async def a2u_events_subscription(request):
+        """GET /a2u/events/sub/{subscription_id} - Stream events for subscription."""
+        subscription_id = request.path_params.get("subscription_id")
+        
+        if subscription_id not in bus._subscriptions:
+            return JSONResponse({"error": "Subscription not found"}, status_code=404)
+        
+        async def event_generator():
+            async for event in bus.get_events(subscription_id):
+                yield event.to_sse()
+        
+        return StreamingResponse(
+            event_generator(),
+            media_type="text/event-stream",
+            headers={
+                "Cache-Control": "no-cache",
+                "Connection": "keep-alive",
+                "X-Accel-Buffering": "no",
+            },
+        )
+    
+    async def a2u_health(request):
+        """GET /a2u/health - A2U health check."""
+        return JSONResponse({
+            "status": "healthy",
+            "active_subscriptions": len(bus._subscriptions),
+            "active_streams": len(bus._streams),
+        })
+    
+    # Add routes based on app type
+    if hasattr(app, 'add_api_route'):
+        # FastAPI
+        app.add_api_route("/a2u/info", a2u_info, methods=["GET"])
+        app.add_api_route("/a2u/subscribe", a2u_subscribe, methods=["POST"])
+        app.add_api_route("/a2u/unsubscribe", a2u_unsubscribe, methods=["POST"])
+        app.add_api_route("/a2u/events/{stream_name}", a2u_events_stream, methods=["GET"])
+        app.add_api_route("/a2u/events/sub/{subscription_id}", a2u_events_subscription, methods=["GET"])
+        app.add_api_route("/a2u/health", a2u_health, methods=["GET"])
+    elif hasattr(app, 'routes'):
+        # Starlette
+        app.routes.extend([
+            Route("/a2u/info", a2u_info, methods=["GET"]),
+            Route("/a2u/subscribe", a2u_subscribe, methods=["POST"]),
+            Route("/a2u/unsubscribe", a2u_unsubscribe, methods=["POST"]),
+            Route("/a2u/events/{stream_name}", a2u_events_stream, methods=["GET"]),
+            Route("/a2u/events/sub/{subscription_id}", a2u_events_subscription, methods=["GET"]),
+            Route("/a2u/health", a2u_health, methods=["GET"]),
+        ])
+
+
+# Helper functions for publishing events
+def emit_agent_event(
+    event_type: str,
+    data: Dict[str, Any],
+    agent_id: Optional[str] = None,
+    stream_name: str = "events",
+) -> None:
+    """
+    Emit an agent event to the A2U stream.
+    
+    Args:
+        event_type: Type of event (e.g., "agent.started", "agent.response")
+        data: Event data
+        agent_id: Optional agent ID to include
+        stream_name: Stream to publish to
+    """
+    if agent_id:
+        data["agent_id"] = agent_id
+    
+    event = A2UEvent(event_type=event_type, data=data)
+    get_event_bus().publish_sync(event, stream_name)
+
+
+def emit_agent_started(agent_id: str, agent_name: str, **kwargs) -> None:
+    """Emit agent.started event."""
+    emit_agent_event("agent.started", {"agent_name": agent_name, **kwargs}, agent_id)
+
+
+def emit_agent_thinking(agent_id: str, message: str = "", **kwargs) -> None:
+    """Emit agent.thinking event."""
+    emit_agent_event("agent.thinking", {"message": message, **kwargs}, agent_id)
+
+
+def emit_agent_tool_call(agent_id: str, tool_name: str, arguments: Dict = None, **kwargs) -> None:
+    """Emit agent.tool_call event."""
+    emit_agent_event("agent.tool_call", {"tool_name": tool_name, "arguments": arguments or {}, **kwargs}, agent_id)
+
+
+def emit_agent_response(agent_id: str, response: str, **kwargs) -> None:
+    """Emit agent.response event."""
+    emit_agent_event("agent.response", {"response": response, **kwargs}, agent_id)
+
+
+def emit_agent_completed(agent_id: str, result: Any = None, **kwargs) -> None:
+    """Emit agent.completed event."""
+    emit_agent_event("agent.completed", {"result": result, **kwargs}, agent_id)
+
+
+def emit_agent_error(agent_id: str, error: str, **kwargs) -> None:
+    """Emit agent.error event."""
+    emit_agent_event("agent.error", {"error": error, **kwargs}, agent_id)

src/praisonai/praisonai/endpoints/discovery.py

@@ -0,0 +1,165 @@
+"""
+Unified Discovery Schema
+
+Provides versioned discovery document format for all PraisonAI serve features.
+This schema is consistent across all provider types.
+"""
+
+from dataclasses import dataclass, field, asdict
+from typing import Any, Dict, List, Optional
+from enum import Enum
+
+
+# Schema version - increment on breaking changes
+SCHEMA_VERSION = "1.0.0"
+
+
+class ProviderType(str, Enum):
+    """Supported provider types."""
+    RECIPE = "recipe"
+    AGENTS_API = "agents-api"
+    MCP = "mcp"
+    TOOLS_MCP = "tools-mcp"
+    A2A = "a2a"
+    A2U = "a2u"
+
+
+class StreamingMode(str, Enum):
+    """Supported streaming modes."""
+    NONE = "none"
+    SSE = "sse"
+    WEBSOCKET = "websocket"
+    MCP_STREAM = "mcp-stream"
+
+
+class AuthMode(str, Enum):
+    """Supported authentication modes."""
+    NONE = "none"
+    API_KEY = "api-key"
+    BEARER = "bearer"
+    JWT = "jwt"
+
+
+@dataclass
+class EndpointInfo:
+    """Information about a single endpoint."""
+    name: str
+    description: str = ""
+    provider_type: str = "recipe"
+    tags: List[str] = field(default_factory=list)
+    version: str = "1.0.0"
+    
+    # Schema information
+    input_schema: Optional[Dict[str, Any]] = None
+    output_schema: Optional[Dict[str, Any]] = None
+    
+    # Capabilities
+    streaming: List[str] = field(default_factory=lambda: ["none"])
+    auth_modes: List[str] = field(default_factory=lambda: ["none"])
+    
+    # Metadata
+    examples: List[Dict[str, Any]] = field(default_factory=list)
+    metadata: Dict[str, Any] = field(default_factory=dict)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return asdict(self)
+
+
+@dataclass
+class ProviderInfo:
+    """Information about a provider."""
+    type: str
+    name: str
+    version: str = "1.0.0"
+    description: str = ""
+    capabilities: List[str] = field(default_factory=list)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return asdict(self)
+
+
+@dataclass
+class DiscoveryDocument:
+    """
+    Unified discovery document for PraisonAI servers.
+    
+    This document is served at /__praisonai__/discovery and provides
+    a consistent interface for discovering endpoints across all provider types.
+    """
+    schema_version: str = SCHEMA_VERSION
+    server_name: str = "praisonai"
+    server_version: str = "1.0.0"
+    
+    # Provider information
+    providers: List[ProviderInfo] = field(default_factory=list)
+    
+    # Endpoint information
+    endpoints: List[EndpointInfo] = field(default_factory=list)
+    
+    # Server capabilities
+    auth_modes: List[str] = field(default_factory=lambda: ["none"])
+    streaming_modes: List[str] = field(default_factory=lambda: ["none", "sse"])
+    
+    # Metadata
+    metadata: Dict[str, Any] = field(default_factory=dict)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary for JSON serialization."""
+        return {
+            "schema_version": self.schema_version,
+            "server_name": self.server_name,
+            "server_version": self.server_version,
+            "providers": [p.to_dict() for p in self.providers],
+            "endpoints": [e.to_dict() for e in self.endpoints],
+            "auth_modes": self.auth_modes,
+            "streaming_modes": self.streaming_modes,
+            "metadata": self.metadata,
+        }
+    
+    def add_provider(self, provider: ProviderInfo) -> None:
+        """Add a provider to the discovery document."""
+        self.providers.append(provider)
+    
+    def add_endpoint(self, endpoint: EndpointInfo) -> None:
+        """Add an endpoint to the discovery document."""
+        self.endpoints.append(endpoint)
+    
+    def get_endpoints_by_type(self, provider_type: str) -> List[EndpointInfo]:
+        """Get endpoints filtered by provider type."""
+        return [e for e in self.endpoints if e.provider_type == provider_type]
+    
+    def get_endpoint_by_name(self, name: str) -> Optional[EndpointInfo]:
+        """Get an endpoint by name."""
+        for e in self.endpoints:
+            if e.name == name:
+                return e
+        return None
+
+
+def create_discovery_document(
+    server_name: str = "praisonai",
+    server_version: Optional[str] = None,
+) -> DiscoveryDocument:
+    """
+    Create a new discovery document.
+    
+    Args:
+        server_name: Name of the server
+        server_version: Version of the server (auto-detected if not provided)
+        
+    Returns:
+        DiscoveryDocument instance
+    """
+    if server_version is None:
+        try:
+            from praisonai.version import __version__
+            server_version = __version__
+        except ImportError:
+            server_version = "unknown"
+    
+    return DiscoveryDocument(
+        server_name=server_name,
+        server_version=server_version,
+    )

src/praisonai/praisonai/endpoints/providers/__init__.py

@@ -0,0 +1,28 @@
+"""
+Provider Adapters
+
+Each provider adapter implements the BaseProvider interface
+and handles protocol-specific details for discovery and invocation.
+"""
+
+# Lazy loading for all exports
+_lazy_imports = {
+    "BaseProvider": ".base",
+    "RecipeProvider": ".recipe",
+    "AgentsAPIProvider": ".agents_api",
+    "MCPProvider": ".mcp",
+    "ToolsMCPProvider": ".tools_mcp",
+    "A2AProvider": ".a2a",
+    "A2UProvider": ".a2u",
+}
+
+def __getattr__(name: str):
+    if name in _lazy_imports:
+        module_path = _lazy_imports[name]
+        import importlib
+        module = importlib.import_module(module_path, package=__name__)
+        return getattr(module, name)
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+
+def __dir__():
+    return list(_lazy_imports.keys())

src/praisonai/praisonai/endpoints/providers/a2a.py

@@ -0,0 +1,253 @@
+"""
+A2A Provider
+
+Provider adapter for Agent-to-Agent protocol endpoints.
+"""
+
+from typing import Any, Dict, Iterator, List, Optional
+
+from .base import BaseProvider, InvokeResult, HealthResult
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+class A2AProvider(BaseProvider):
+    """
+    Provider adapter for A2A (Agent-to-Agent) protocol endpoints.
+    
+    A2A enables agent-to-agent communication following the A2A protocol spec.
+    Supports discovery via /.well-known/agent.json and message passing.
+    """
+    
+    provider_type = "a2a"
+    
+    def get_provider_info(self) -> ProviderInfo:
+        """Get provider information."""
+        return ProviderInfo(
+            type=self.provider_type,
+            name="A2A Protocol",
+            description="Agent-to-Agent communication protocol",
+            capabilities=["agent-card", "message-send", "task-management"],
+        )
+    
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List available A2A agents."""
+        # Try unified discovery first
+        result = self._make_request("GET", "/__praisonai__/discovery")
+        
+        if not result.get("error") and result.get("data"):
+            data = result.get("data", {})
+            endpoints = []
+            for ep in data.get("endpoints", []):
+                if ep.get("provider_type") == self.provider_type:
+                    endpoints.append(EndpointInfo(
+                        name=ep.get("name", ""),
+                        description=ep.get("description", ""),
+                        provider_type=self.provider_type,
+                        tags=ep.get("tags", []),
+                        streaming=ep.get("streaming", ["sse"]),
+                        auth_modes=ep.get("auth_modes", ["none"]),
+                    ))
+            return endpoints
+        
+        # Fallback: try agent card
+        result = self._make_request("GET", "/.well-known/agent.json")
+        
+        if result.get("error"):
+            return []
+        
+        agent_card = result.get("data", {})
+        
+        return [EndpointInfo(
+            name=agent_card.get("name", "a2a-agent"),
+            description=agent_card.get("description", "A2A Agent"),
+            provider_type=self.provider_type,
+            version=agent_card.get("version", "1.0.0"),
+            streaming=["sse"] if agent_card.get("capabilities", {}).get("streaming") else ["none"],
+            auth_modes=["none"],
+            metadata={"agent_card": agent_card},
+        )]
+    
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """Get detailed information about an A2A agent."""
+        # Get agent card
+        result = self._make_request("GET", "/.well-known/agent.json")
+        
+        if result.get("error"):
+            return None
+        
+        agent_card = result.get("data", {})
+        
+        return EndpointInfo(
+            name=agent_card.get("name", name),
+            description=agent_card.get("description", ""),
+            provider_type=self.provider_type,
+            version=agent_card.get("version", "1.0.0"),
+            streaming=["sse"] if agent_card.get("capabilities", {}).get("streaming") else ["none"],
+            auth_modes=["none"],
+            metadata={
+                "agent_card": agent_card,
+                "skills": agent_card.get("skills", []),
+                "capabilities": agent_card.get("capabilities", {}),
+            },
+        )
+    
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """Send a message to an A2A agent."""
+        import uuid
+        
+        # Build A2A message
+        message = input_data.get("message", "") if input_data else ""
+        if not message and config:
+            message = config.get("message", config.get("query", ""))
+        
+        body = {
+            "jsonrpc": "2.0",
+            "method": "message/send",
+            "id": str(uuid.uuid4()),
+            "params": {
+                "message": {
+                    "role": "user",
+                    "parts": [{"type": "text", "text": message}],
+                },
+            },
+        }
+        
+        result = self._make_request("POST", "/a2a", json_data=body)
+        
+        if result.get("error"):
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=result["error"].get("message", str(result["error"])),
+            )
+        
+        data = result.get("data", {})
+        
+        # Handle JSON-RPC response
+        if "result" in data:
+            return InvokeResult(
+                ok=True,
+                status="success",
+                data=data["result"],
+            )
+        elif "error" in data:
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=data["error"].get("message", str(data["error"])),
+            )
+        
+        return InvokeResult(
+            ok=True,
+            status="success",
+            data=data,
+        )
+    
+    def invoke_stream(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Dict[str, Any]]:
+        """Send a streaming message to an A2A agent."""
+        import json
+        import urllib.request
+        import uuid
+        
+        message = input_data.get("message", "") if input_data else ""
+        if not message and config:
+            message = config.get("message", config.get("query", ""))
+        
+        body = {
+            "jsonrpc": "2.0",
+            "method": "message/stream",
+            "id": str(uuid.uuid4()),
+            "params": {
+                "message": {
+                    "role": "user",
+                    "parts": [{"type": "text", "text": message}],
+                },
+            },
+        }
+        
+        full_url = f"{self.base_url}/a2a"
+        
+        headers = {
+            "Content-Type": "application/json",
+            "Accept": "text/event-stream",
+        }
+        if self.api_key:
+            headers["X-API-Key"] = self.api_key
+        
+        data = json.dumps(body).encode("utf-8")
+        
+        try:
+            req = urllib.request.Request(full_url, data=data, headers=headers, method="POST")
+            
+            with urllib.request.urlopen(req, timeout=300) as response:
+                buffer = ""
+                for line in response:
+                    line = line.decode("utf-8")
+                    buffer += line
+                    
+                    if buffer.endswith("\n\n"):
+                        event_type = "message"
+                        event_data = ""
+                        
+                        for part in buffer.strip().split("\n"):
+                            if part.startswith("event:"):
+                                event_type = part[6:].strip()
+                            elif part.startswith("data:"):
+                                event_data = part[5:].strip()
+                        
+                        if event_data:
+                            try:
+                                yield {"event": event_type, "data": json.loads(event_data)}
+                            except json.JSONDecodeError:
+                                yield {"event": event_type, "data": event_data}
+                        
+                        buffer = ""
+                        
+        except Exception as e:
+            yield {"event": "error", "data": {"error": str(e)}}
+    
+    def health(self) -> HealthResult:
+        """Check A2A server health."""
+        # Try status endpoint first
+        result = self._make_request("GET", "/status")
+        
+        if not result.get("error"):
+            data = result.get("data", {})
+            return HealthResult(
+                healthy=data.get("status") == "ok",
+                status=data.get("status", "unknown"),
+                server_name=data.get("name", "A2A Agent"),
+                server_version=data.get("version"),
+                provider_type=self.provider_type,
+            )
+        
+        # Fallback: try agent card
+        result = self._make_request("GET", "/.well-known/agent.json")
+        
+        if result.get("error"):
+            return HealthResult(
+                healthy=False,
+                status="unhealthy",
+                provider_type=self.provider_type,
+                metadata={"error": result["error"].get("message", str(result["error"]))},
+            )
+        
+        agent_card = result.get("data", {})
+        return HealthResult(
+            healthy=True,
+            status="healthy",
+            server_name=agent_card.get("name", "A2A Agent"),
+            server_version=agent_card.get("version"),
+            provider_type=self.provider_type,
+        )

src/praisonai/praisonai/endpoints/providers/a2u.py

@@ -0,0 +1,208 @@
+"""
+A2U Provider
+
+Provider adapter for Agent-to-User event stream endpoints.
+"""
+
+from typing import Any, Dict, Iterator, List, Optional
+
+from .base import BaseProvider, InvokeResult, HealthResult
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+class A2UProvider(BaseProvider):
+    """
+    Provider adapter for A2U (Agent-to-User) event stream endpoints.
+    
+    A2U provides a protocol surface for streaming agent events to users,
+    typically via SSE or WebSocket. This enables real-time UI updates.
+    """
+    
+    provider_type = "a2u"
+    
+    def get_provider_info(self) -> ProviderInfo:
+        """Get provider information."""
+        return ProviderInfo(
+            type=self.provider_type,
+            name="A2U Event Stream",
+            description="Agent-to-User event streaming protocol",
+            capabilities=["event-stream", "subscribe", "unsubscribe"],
+        )
+    
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List available A2U event streams."""
+        # Try unified discovery first
+        result = self._make_request("GET", "/__praisonai__/discovery")
+        
+        if not result.get("error") and result.get("data"):
+            data = result.get("data", {})
+            endpoints = []
+            for ep in data.get("endpoints", []):
+                if ep.get("provider_type") == self.provider_type:
+                    endpoints.append(EndpointInfo(
+                        name=ep.get("name", ""),
+                        description=ep.get("description", ""),
+                        provider_type=self.provider_type,
+                        tags=ep.get("tags", []),
+                        streaming=ep.get("streaming", ["sse"]),
+                        auth_modes=ep.get("auth_modes", ["none"]),
+                    ))
+            return endpoints
+        
+        # Fallback: check for events endpoint
+        result = self._make_request("GET", "/a2u/info")
+        
+        if result.get("error"):
+            # Return default event stream endpoint
+            return [EndpointInfo(
+                name="events",
+                description="Agent event stream",
+                provider_type=self.provider_type,
+                streaming=["sse"],
+                auth_modes=["none"],
+            )]
+        
+        data = result.get("data", {})
+        streams = data.get("streams", [{"name": "events", "description": "Agent event stream"}])
+        
+        endpoints = []
+        for stream in streams:
+            endpoints.append(EndpointInfo(
+                name=stream.get("name", "events"),
+                description=stream.get("description", "Event stream"),
+                provider_type=self.provider_type,
+                streaming=["sse", "websocket"],
+                auth_modes=["none"],
+            ))
+        
+        return endpoints
+    
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """Get detailed information about an A2U event stream."""
+        endpoints = self.list_endpoints()
+        for ep in endpoints:
+            if ep.name == name:
+                return ep
+        
+        # Return default info
+        return EndpointInfo(
+            name=name,
+            description=f"Event stream: {name}",
+            provider_type=self.provider_type,
+            streaming=["sse"],
+            auth_modes=["none"],
+            metadata={
+                "event_types": [
+                    "agent.started",
+                    "agent.thinking",
+                    "agent.tool_call",
+                    "agent.response",
+                    "agent.completed",
+                    "agent.error",
+                ],
+            },
+        )
+    
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """Subscribe to an A2U event stream (returns subscription info)."""
+        body = {
+            "stream": name,
+            "filters": input_data.get("filters", []) if input_data else [],
+        }
+        
+        result = self._make_request("POST", "/a2u/subscribe", json_data=body)
+        
+        if result.get("error"):
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=result["error"].get("message", str(result["error"])),
+            )
+        
+        data = result.get("data", {})
+        return InvokeResult(
+            ok=True,
+            status="subscribed",
+            data={
+                "subscription_id": data.get("subscription_id"),
+                "stream_url": data.get("stream_url", f"{self.base_url}/a2u/events/{name}"),
+            },
+        )
+    
+    def invoke_stream(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Dict[str, Any]]:
+        """Stream events from an A2U endpoint."""
+        import json
+        import urllib.request
+        
+        stream_path = f"/a2u/events/{name}"
+        full_url = f"{self.base_url}{stream_path}"
+        
+        headers = {"Accept": "text/event-stream"}
+        if self.api_key:
+            headers["X-API-Key"] = self.api_key
+        
+        try:
+            req = urllib.request.Request(full_url, headers=headers, method="GET")
+            
+            with urllib.request.urlopen(req, timeout=300) as response:
+                buffer = ""
+                for line in response:
+                    line = line.decode("utf-8")
+                    buffer += line
+                    
+                    if buffer.endswith("\n\n"):
+                        event_type = "event"
+                        event_data = ""
+                        
+                        for part in buffer.strip().split("\n"):
+                            if part.startswith("event:"):
+                                event_type = part[6:].strip()
+                            elif part.startswith("data:"):
+                                event_data = part[5:].strip()
+                        
+                        if event_data:
+                            try:
+                                yield {"event": event_type, "data": json.loads(event_data)}
+                            except json.JSONDecodeError:
+                                yield {"event": event_type, "data": event_data}
+                        
+                        buffer = ""
+                        
+        except Exception as e:
+            yield {"event": "error", "data": {"error": str(e)}}
+    
+    def health(self) -> HealthResult:
+        """Check A2U server health."""
+        result = self._make_request("GET", "/health")
+        
+        if result.get("error"):
+            # Try a2u-specific health
+            result = self._make_request("GET", "/a2u/health")
+        
+        if result.get("error"):
+            return HealthResult(
+                healthy=False,
+                status="unhealthy",
+                provider_type=self.provider_type,
+                metadata={"error": result["error"].get("message", str(result["error"]))},
+            )
+        
+        data = result.get("data", {})
+        return HealthResult(
+            healthy=True,
+            status="healthy",
+            server_name=data.get("server_name", "A2U Server"),
+            server_version=data.get("version"),
+            provider_type=self.provider_type,
+        )

src/praisonai/praisonai/endpoints/providers/agents_api.py

@@ -0,0 +1,171 @@
+"""
+Agents API Provider
+
+Provider adapter for agents-as-API endpoints (single agent or multi-agent router).
+"""
+
+from typing import Any, Dict, List, Optional
+
+from .base import BaseProvider, InvokeResult, HealthResult
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+class AgentsAPIProvider(BaseProvider):
+    """
+    Provider adapter for agents-as-API endpoints.
+    
+    Connects to FastAPI-based agent servers launched via Agent.launch() or Agents.launch()
+    and provides unified discovery and invocation interface.
+    """
+    
+    provider_type = "agents-api"
+    
+    def get_provider_info(self) -> ProviderInfo:
+        """Get provider information."""
+        return ProviderInfo(
+            type=self.provider_type,
+            name="Agents API",
+            description="Agent HTTP API endpoints",
+            capabilities=["list", "describe", "invoke", "health"],
+        )
+    
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List available agent endpoints."""
+        # Try unified discovery first
+        result = self._make_request("GET", "/__praisonai__/discovery")
+        
+        if not result.get("error") and result.get("data"):
+            data = result.get("data", {})
+            endpoints = []
+            for ep in data.get("endpoints", []):
+                if ep.get("provider_type") == self.provider_type:
+                    endpoints.append(EndpointInfo(
+                        name=ep.get("name", ""),
+                        description=ep.get("description", ""),
+                        provider_type=self.provider_type,
+                        tags=ep.get("tags", []),
+                        version=ep.get("version", "1.0.0"),
+                        streaming=ep.get("streaming", ["none"]),
+                        auth_modes=ep.get("auth_modes", ["none"]),
+                    ))
+            return endpoints
+        
+        # Fallback: try root endpoint for endpoint list
+        result = self._make_request("GET", "/")
+        
+        if result.get("error"):
+            return []
+        
+        data = result.get("data", {})
+        endpoint_paths = data.get("endpoints", [])
+        
+        endpoints = []
+        for path in endpoint_paths:
+            endpoints.append(EndpointInfo(
+                name=path.lstrip("/"),
+                description=f"Agent endpoint at {path}",
+                provider_type=self.provider_type,
+                streaming=["none"],
+                auth_modes=["none"],
+            ))
+        
+        return endpoints
+    
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """Get detailed information about an agent endpoint."""
+        # Try unified discovery first
+        result = self._make_request("GET", "/__praisonai__/discovery")
+        
+        if not result.get("error") and result.get("data"):
+            data = result.get("data", {})
+            for ep in data.get("endpoints", []):
+                if ep.get("name") == name:
+                    return EndpointInfo(
+                        name=ep.get("name", name),
+                        description=ep.get("description", ""),
+                        provider_type=self.provider_type,
+                        tags=ep.get("tags", []),
+                        version=ep.get("version", "1.0.0"),
+                        input_schema=ep.get("input_schema"),
+                        output_schema=ep.get("output_schema"),
+                        streaming=ep.get("streaming", ["none"]),
+                        auth_modes=ep.get("auth_modes", ["none"]),
+                        metadata=ep.get("metadata", {}),
+                    )
+        
+        # Fallback: return basic info
+        return EndpointInfo(
+            name=name,
+            description=f"Agent endpoint: {name}",
+            provider_type=self.provider_type,
+            input_schema={"type": "object", "properties": {"query": {"type": "string"}}},
+            streaming=["none"],
+            auth_modes=["none"],
+        )
+    
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """Invoke an agent endpoint."""
+        # Normalize endpoint path
+        path = name if name.startswith("/") else f"/{name}"
+        
+        # Build request body
+        body = input_data or {}
+        if "query" not in body and config and "query" in config:
+            body["query"] = config["query"]
+        
+        result = self._make_request("POST", path, json_data=body)
+        
+        if result.get("status") == 401:
+            return InvokeResult(
+                ok=False,
+                status="auth_error",
+                error="Authentication required",
+            )
+        
+        if result.get("status") == 404:
+            return InvokeResult(
+                ok=False,
+                status="not_found",
+                error=f"Endpoint not found: {name}",
+            )
+        
+        if result.get("error"):
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=result["error"].get("message", str(result["error"])),
+            )
+        
+        data = result.get("data", {})
+        return InvokeResult(
+            ok=True,
+            status="success",
+            data=data.get("response", data),
+        )
+    
+    def health(self) -> HealthResult:
+        """Check agent server health."""
+        result = self._make_request("GET", "/health")
+        
+        if result.get("error"):
+            return HealthResult(
+                healthy=False,
+                status="unhealthy",
+                provider_type=self.provider_type,
+                metadata={"error": result["error"].get("message", str(result["error"]))},
+            )
+        
+        data = result.get("data", {})
+        return HealthResult(
+            healthy=data.get("status") == "ok",
+            status=data.get("status", "unknown"),
+            server_name="PraisonAI Agents API",
+            provider_type=self.provider_type,
+            metadata={"endpoints": data.get("endpoints", [])},
+        )

src/praisonai/praisonai/endpoints/providers/base.py

@@ -0,0 +1,231 @@
+"""
+Base Provider Interface
+
+Abstract base class for all provider adapters.
+Each provider implements discovery, invocation, and health check methods.
+"""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from typing import Any, Dict, Iterator, List, Optional
+
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+@dataclass
+class InvokeResult:
+    """Result from invoking an endpoint."""
+    ok: bool
+    status: str = "success"
+    data: Optional[Any] = None
+    error: Optional[str] = None
+    metadata: Optional[Dict[str, Any]] = None
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "ok": self.ok,
+            "status": self.status,
+            "data": self.data,
+            "error": self.error,
+            "metadata": self.metadata,
+        }
+
+
+@dataclass
+class HealthResult:
+    """Result from health check."""
+    healthy: bool
+    status: str = "healthy"
+    server_name: Optional[str] = None
+    server_version: Optional[str] = None
+    provider_type: Optional[str] = None
+    metadata: Optional[Dict[str, Any]] = None
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "healthy": self.healthy,
+            "status": self.status,
+            "server_name": self.server_name,
+            "server_version": self.server_version,
+            "provider_type": self.provider_type,
+            "metadata": self.metadata,
+        }
+
+
+class BaseProvider(ABC):
+    """
+    Abstract base class for provider adapters.
+    
+    Each provider type (recipe, agents-api, mcp, etc.) implements this interface
+    to provide consistent discovery and invocation behavior.
+    """
+    
+    # Provider type identifier
+    provider_type: str = "base"
+    
+    def __init__(
+        self,
+        base_url: str = "http://localhost:8765",
+        api_key: Optional[str] = None,
+        timeout: float = 30.0,
+    ):
+        """
+        Initialize the provider.
+        
+        Args:
+            base_url: Base URL of the server
+            api_key: Optional API key for authentication
+            timeout: Request timeout in seconds
+        """
+        self.base_url = base_url.rstrip("/")
+        self.api_key = api_key
+        self.timeout = timeout
+    
+    @abstractmethod
+    def get_provider_info(self) -> ProviderInfo:
+        """
+        Get provider information.
+        
+        Returns:
+            ProviderInfo with provider details
+        """
+        pass
+    
+    @abstractmethod
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """
+        List available endpoints.
+        
+        Args:
+            tags: Optional list of tags to filter by
+            
+        Returns:
+            List of EndpointInfo objects
+        """
+        pass
+    
+    @abstractmethod
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """
+        Get detailed information about an endpoint.
+        
+        Args:
+            name: Endpoint name
+            
+        Returns:
+            EndpointInfo or None if not found
+        """
+        pass
+    
+    @abstractmethod
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """
+        Invoke an endpoint.
+        
+        Args:
+            name: Endpoint name
+            input_data: Input data for the endpoint
+            config: Optional configuration overrides
+            stream: Whether to stream the response
+            
+        Returns:
+            InvokeResult with response data
+        """
+        pass
+    
+    def invoke_stream(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Dict[str, Any]]:
+        """
+        Invoke an endpoint with streaming.
+        
+        Args:
+            name: Endpoint name
+            input_data: Input data for the endpoint
+            config: Optional configuration overrides
+            
+        Yields:
+            Stream events as dictionaries
+        """
+        # Default implementation - subclasses can override
+        result = self.invoke(name, input_data, config, stream=True)
+        if result.ok:
+            yield {"event": "complete", "data": result.data}
+        else:
+            yield {"event": "error", "data": {"error": result.error}}
+    
+    @abstractmethod
+    def health(self) -> HealthResult:
+        """
+        Check server health.
+        
+        Returns:
+            HealthResult with health status
+        """
+        pass
+    
+    def _make_request(
+        self,
+        method: str,
+        path: str,
+        json_data: Optional[Dict] = None,
+    ) -> Dict[str, Any]:
+        """
+        Make HTTP request to server.
+        
+        Args:
+            method: HTTP method
+            path: URL path
+            json_data: Optional JSON body
+            
+        Returns:
+            Response data dictionary
+        """
+        import json
+        import urllib.request
+        import urllib.error
+        
+        full_url = f"{self.base_url}{path}"
+        
+        headers = {"Content-Type": "application/json"}
+        if self.api_key:
+            headers["X-API-Key"] = self.api_key
+        
+        data = None
+        if json_data:
+            data = json.dumps(json_data).encode("utf-8")
+        
+        try:
+            req = urllib.request.Request(
+                full_url,
+                data=data,
+                headers=headers,
+                method=method,
+            )
+            
+            with urllib.request.urlopen(req, timeout=self.timeout) as response:
+                body = response.read().decode("utf-8")
+                return {"status": response.status, "data": json.loads(body) if body else {}}
+                
+        except urllib.error.HTTPError as e:
+            body = e.read().decode("utf-8") if e.fp else ""
+            try:
+                error_data = json.loads(body) if body else {}
+            except json.JSONDecodeError:
+                error_data = {"message": body}
+            return {"status": e.code, "error": error_data}
+        except urllib.error.URLError as e:
+            return {"status": 0, "error": {"message": f"Connection error: {e.reason}"}}
+        except Exception as e:
+            return {"status": 0, "error": {"message": str(e)}}

src/praisonai/praisonai/endpoints/providers/mcp.py

@@ -0,0 +1,263 @@
+"""
+MCP Provider
+
+Provider adapter for MCP server endpoints (stdio, http, sse).
+"""
+
+from typing import Any, Dict, Iterator, List, Optional
+
+from .base import BaseProvider, InvokeResult, HealthResult
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+class MCPProvider(BaseProvider):
+    """
+    Provider adapter for MCP server endpoints.
+    
+    Supports multiple MCP transport types:
+    - stdio: Standard input/output (requires subprocess)
+    - http: HTTP-based MCP server
+    - sse: Server-Sent Events MCP gateway
+    """
+    
+    provider_type = "mcp"
+    
+    def __init__(
+        self,
+        base_url: str = "http://localhost:8765",
+        api_key: Optional[str] = None,
+        timeout: float = 30.0,
+        transport: str = "http",
+        command: Optional[str] = None,
+        args: Optional[List[str]] = None,
+        env: Optional[Dict[str, str]] = None,
+    ):
+        """
+        Initialize MCP provider.
+        
+        Args:
+            base_url: Base URL for HTTP/SSE transport
+            api_key: Optional API key
+            timeout: Request timeout
+            transport: Transport type (stdio, http, sse)
+            command: Command for stdio transport
+            args: Command arguments for stdio transport
+            env: Environment variables for stdio transport
+        """
+        super().__init__(base_url, api_key, timeout)
+        self.transport = transport
+        self.command = command
+        self.args = args or []
+        self.env = env or {}
+    
+    def get_provider_info(self) -> ProviderInfo:
+        """Get provider information."""
+        return ProviderInfo(
+            type=self.provider_type,
+            name="MCP Server",
+            description=f"MCP server ({self.transport} transport)",
+            capabilities=["list-tools", "call-tool", "list-resources"],
+        )
+    
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List available MCP tools as endpoints."""
+        if self.transport == "stdio":
+            return self._list_stdio_tools(tags)
+        else:
+            return self._list_http_tools(tags)
+    
+    def _list_stdio_tools(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List tools from stdio MCP server."""
+        try:
+            from praisonaiagents.mcp import MCP
+            
+            mcp = MCP(command=self.command, args=self.args, env=self.env)
+            tools = mcp.get_tools()
+            
+            endpoints = []
+            for tool in tools:
+                tool_name = getattr(tool, 'name', str(tool))
+                tool_desc = getattr(tool, 'description', '')
+                
+                endpoints.append(EndpointInfo(
+                    name=tool_name,
+                    description=tool_desc,
+                    provider_type=self.provider_type,
+                    streaming=["mcp-stream"],
+                    auth_modes=["none"],
+                    metadata={"transport": "stdio"},
+                ))
+            
+            return endpoints
+        except Exception:
+            return []
+    
+    def _list_http_tools(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List tools from HTTP MCP server."""
+        # Try unified discovery first
+        result = self._make_request("GET", "/__praisonai__/discovery")
+        
+        if not result.get("error") and result.get("data"):
+            data = result.get("data", {})
+            endpoints = []
+            for ep in data.get("endpoints", []):
+                if ep.get("provider_type") == self.provider_type:
+                    endpoints.append(EndpointInfo(
+                        name=ep.get("name", ""),
+                        description=ep.get("description", ""),
+                        provider_type=self.provider_type,
+                        tags=ep.get("tags", []),
+                        streaming=ep.get("streaming", ["mcp-stream"]),
+                        auth_modes=ep.get("auth_modes", ["none"]),
+                    ))
+            return endpoints
+        
+        # Fallback: try MCP tools endpoint
+        result = self._make_request("GET", "/mcp/tools")
+        
+        if result.get("error"):
+            return []
+        
+        tools = result.get("data", {}).get("tools", [])
+        endpoints = []
+        
+        for tool in tools:
+            endpoints.append(EndpointInfo(
+                name=tool.get("name", ""),
+                description=tool.get("description", ""),
+                provider_type=self.provider_type,
+                input_schema=tool.get("inputSchema"),
+                streaming=["mcp-stream"],
+                auth_modes=["none"],
+            ))
+        
+        return endpoints
+    
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """Get detailed information about an MCP tool."""
+        endpoints = self.list_endpoints()
+        for ep in endpoints:
+            if ep.name == name:
+                return ep
+        return None
+    
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """Invoke an MCP tool."""
+        if self.transport == "stdio":
+            return self._invoke_stdio(name, input_data)
+        else:
+            return self._invoke_http(name, input_data)
+    
+    def _invoke_stdio(self, name: str, input_data: Optional[Dict[str, Any]] = None) -> InvokeResult:
+        """Invoke tool via stdio MCP."""
+        try:
+            from praisonaiagents.mcp import MCP
+            
+            mcp = MCP(command=self.command, args=self.args, env=self.env)
+            tools = mcp.get_tools()
+            
+            for tool in tools:
+                tool_name = getattr(tool, 'name', str(tool))
+                if tool_name == name:
+                    if callable(tool):
+                        result = tool(**(input_data or {}))
+                        return InvokeResult(
+                            ok=True,
+                            status="success",
+                            data=result,
+                        )
+            
+            return InvokeResult(
+                ok=False,
+                status="not_found",
+                error=f"Tool not found: {name}",
+            )
+        except Exception as e:
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=str(e),
+            )
+    
+    def _invoke_http(self, name: str, input_data: Optional[Dict[str, Any]] = None) -> InvokeResult:
+        """Invoke tool via HTTP MCP."""
+        body = {
+            "tool": name,
+            "arguments": input_data or {},
+        }
+        
+        result = self._make_request("POST", "/mcp/tools/call", json_data=body)
+        
+        if result.get("error"):
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=result["error"].get("message", str(result["error"])),
+            )
+        
+        data = result.get("data", {})
+        return InvokeResult(
+            ok=True,
+            status="success",
+            data=data.get("result", data),
+        )
+    
+    def invoke_stream(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Dict[str, Any]]:
+        """Invoke MCP tool with streaming."""
+        # MCP streaming is tool-specific; for now, wrap sync call
+        result = self.invoke(name, input_data, config)
+        if result.ok:
+            yield {"event": "result", "data": result.data}
+        else:
+            yield {"event": "error", "data": {"error": result.error}}
+    
+    def health(self) -> HealthResult:
+        """Check MCP server health."""
+        if self.transport == "stdio":
+            # For stdio, check if command exists
+            import shutil
+            if self.command and shutil.which(self.command):
+                return HealthResult(
+                    healthy=True,
+                    status="available",
+                    server_name=self.command,
+                    provider_type=self.provider_type,
+                    metadata={"transport": "stdio"},
+                )
+            return HealthResult(
+                healthy=False,
+                status="unavailable",
+                provider_type=self.provider_type,
+                metadata={"error": f"Command not found: {self.command}"},
+            )
+        
+        # HTTP health check
+        result = self._make_request("GET", "/health")
+        
+        if result.get("error"):
+            return HealthResult(
+                healthy=False,
+                status="unhealthy",
+                provider_type=self.provider_type,
+                metadata={"error": result["error"].get("message", str(result["error"]))},
+            )
+        
+        data = result.get("data", {})
+        return HealthResult(
+            healthy=True,
+            status="healthy",
+            server_name=data.get("server_name", "MCP Server"),
+            server_version=data.get("version"),
+            provider_type=self.provider_type,
+        )

src/praisonai/praisonai/endpoints/providers/recipe.py

@@ -0,0 +1,206 @@
+"""
+Recipe Provider
+
+Provider adapter for recipe runner endpoints.
+"""
+
+from typing import Any, Dict, Iterator, List, Optional
+
+from .base import BaseProvider, InvokeResult, HealthResult
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+class RecipeProvider(BaseProvider):
+    """
+    Provider adapter for recipe runner endpoints.
+    
+    Connects to recipe runner server (Starlette-based) and provides
+    unified discovery and invocation interface.
+    """
+    
+    provider_type = "recipe"
+    
+    def get_provider_info(self) -> ProviderInfo:
+        """Get provider information."""
+        return ProviderInfo(
+            type=self.provider_type,
+            name="Recipe Runner",
+            description="Recipe execution endpoints",
+            capabilities=["list", "describe", "invoke", "stream", "validate"],
+        )
+    
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List available recipe endpoints."""
+        path = "/v1/recipes"
+        if tags:
+            path += f"?tags={','.join(tags)}"
+        
+        result = self._make_request("GET", path)
+        
+        if result.get("error"):
+            return []
+        
+        recipes = result.get("data", {}).get("recipes", [])
+        endpoints = []
+        
+        for r in recipes:
+            endpoints.append(EndpointInfo(
+                name=r.get("name", ""),
+                description=r.get("description", ""),
+                provider_type=self.provider_type,
+                tags=r.get("tags", []),
+                version=r.get("version", "1.0.0"),
+                streaming=["none", "sse"],
+                auth_modes=["none", "api-key"],
+            ))
+        
+        return endpoints
+    
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """Get detailed information about a recipe endpoint."""
+        result = self._make_request("GET", f"/v1/recipes/{name}")
+        
+        if result.get("status") == 404 or result.get("error"):
+            return None
+        
+        data = result.get("data", {})
+        
+        # Get schema
+        schema_result = self._make_request("GET", f"/v1/recipes/{name}/schema")
+        schema_data = schema_result.get("data", {}) if not schema_result.get("error") else {}
+        
+        return EndpointInfo(
+            name=data.get("name", name),
+            description=data.get("description", ""),
+            provider_type=self.provider_type,
+            tags=data.get("tags", []),
+            version=data.get("version", "1.0.0"),
+            input_schema=schema_data.get("input_schema"),
+            output_schema=schema_data.get("output_schema"),
+            streaming=["none", "sse"],
+            auth_modes=["none", "api-key"],
+            metadata=data.get("metadata", {}),
+        )
+    
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """Invoke a recipe endpoint."""
+        body = {
+            "recipe": name,
+            "input": input_data or {},
+            "config": config or {},
+        }
+        
+        result = self._make_request("POST", "/v1/recipes/run", json_data=body)
+        
+        if result.get("status") == 401:
+            return InvokeResult(
+                ok=False,
+                status="auth_error",
+                error="Authentication required",
+            )
+        
+        if result.get("status") == 404:
+            return InvokeResult(
+                ok=False,
+                status="not_found",
+                error=f"Recipe not found: {name}",
+            )
+        
+        if result.get("error"):
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=result["error"].get("message", str(result["error"])),
+            )
+        
+        data = result.get("data", {})
+        return InvokeResult(
+            ok=data.get("ok", True),
+            status=data.get("status", "success"),
+            data=data.get("output"),
+            metadata={"run_id": data.get("run_id")},
+        )
+    
+    def invoke_stream(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Dict[str, Any]]:
+        """Invoke a recipe endpoint with streaming."""
+        import json
+        import urllib.request
+        
+        body = {
+            "recipe": name,
+            "input": input_data or {},
+            "config": config or {},
+        }
+        
+        full_url = f"{self.base_url}/v1/recipes/stream"
+        
+        headers = {
+            "Content-Type": "application/json",
+            "Accept": "text/event-stream",
+        }
+        if self.api_key:
+            headers["X-API-Key"] = self.api_key
+        
+        data = json.dumps(body).encode("utf-8")
+        
+        try:
+            req = urllib.request.Request(full_url, data=data, headers=headers, method="POST")
+            
+            with urllib.request.urlopen(req, timeout=300) as response:
+                buffer = ""
+                for line in response:
+                    line = line.decode("utf-8")
+                    buffer += line
+                    
+                    if buffer.endswith("\n\n"):
+                        event_type = "message"
+                        event_data = ""
+                        
+                        for part in buffer.strip().split("\n"):
+                            if part.startswith("event:"):
+                                event_type = part[6:].strip()
+                            elif part.startswith("data:"):
+                                event_data = part[5:].strip()
+                        
+                        if event_data:
+                            try:
+                                yield {"event": event_type, "data": json.loads(event_data)}
+                            except json.JSONDecodeError:
+                                yield {"event": event_type, "data": event_data}
+                        
+                        buffer = ""
+                        
+        except Exception as e:
+            yield {"event": "error", "data": {"error": str(e)}}
+    
+    def health(self) -> HealthResult:
+        """Check recipe server health."""
+        result = self._make_request("GET", "/health")
+        
+        if result.get("error"):
+            return HealthResult(
+                healthy=False,
+                status="unhealthy",
+                provider_type=self.provider_type,
+                metadata={"error": result["error"].get("message", str(result["error"]))},
+            )
+        
+        data = result.get("data", {})
+        return HealthResult(
+            healthy=data.get("status") == "healthy",
+            status=data.get("status", "unknown"),
+            server_name=data.get("service"),
+            server_version=data.get("version"),
+            provider_type=self.provider_type,
+        )

src/praisonai/praisonai/endpoints/providers/tools_mcp.py

@@ -0,0 +1,150 @@
+"""
+Tools MCP Provider
+
+Provider adapter for tools exposed as MCP server.
+"""
+
+from typing import Any, Dict, Iterator, List, Optional
+
+from .base import BaseProvider, InvokeResult, HealthResult
+from ..discovery import EndpointInfo, ProviderInfo
+
+
+class ToolsMCPProvider(BaseProvider):
+    """
+    Provider adapter for tools exposed as MCP server.
+    
+    This provider connects to a ToolsMCPServer that exposes Python functions
+    as MCP tools.
+    """
+    
+    provider_type = "tools-mcp"
+    
+    def get_provider_info(self) -> ProviderInfo:
+        """Get provider information."""
+        return ProviderInfo(
+            type=self.provider_type,
+            name="Tools MCP Server",
+            description="Python tools exposed as MCP server",
+            capabilities=["list-tools", "call-tool"],
+        )
+    
+    def list_endpoints(self, tags: Optional[List[str]] = None) -> List[EndpointInfo]:
+        """List available tools as endpoints."""
+        # Try unified discovery first
+        result = self._make_request("GET", "/__praisonai__/discovery")
+        
+        if not result.get("error") and result.get("data"):
+            data = result.get("data", {})
+            endpoints = []
+            for ep in data.get("endpoints", []):
+                if ep.get("provider_type") == self.provider_type:
+                    endpoints.append(EndpointInfo(
+                        name=ep.get("name", ""),
+                        description=ep.get("description", ""),
+                        provider_type=self.provider_type,
+                        tags=ep.get("tags", []),
+                        input_schema=ep.get("input_schema"),
+                        streaming=ep.get("streaming", ["none"]),
+                        auth_modes=ep.get("auth_modes", ["none"]),
+                    ))
+            return endpoints
+        
+        # Fallback: try tools endpoint
+        result = self._make_request("GET", "/tools")
+        
+        if result.get("error"):
+            return []
+        
+        tools = result.get("data", {}).get("tools", [])
+        endpoints = []
+        
+        for tool in tools:
+            endpoints.append(EndpointInfo(
+                name=tool.get("name", ""),
+                description=tool.get("description", ""),
+                provider_type=self.provider_type,
+                input_schema=tool.get("input_schema"),
+                streaming=["none"],
+                auth_modes=["none"],
+            ))
+        
+        return endpoints
+    
+    def describe_endpoint(self, name: str) -> Optional[EndpointInfo]:
+        """Get detailed information about a tool."""
+        endpoints = self.list_endpoints()
+        for ep in endpoints:
+            if ep.name == name:
+                return ep
+        return None
+    
+    def invoke(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+        stream: bool = False,
+    ) -> InvokeResult:
+        """Invoke a tool."""
+        body = {
+            "tool": name,
+            "arguments": input_data or {},
+        }
+        
+        result = self._make_request("POST", "/tools/call", json_data=body)
+        
+        if result.get("status") == 404:
+            return InvokeResult(
+                ok=False,
+                status="not_found",
+                error=f"Tool not found: {name}",
+            )
+        
+        if result.get("error"):
+            return InvokeResult(
+                ok=False,
+                status="error",
+                error=result["error"].get("message", str(result["error"])),
+            )
+        
+        data = result.get("data", {})
+        return InvokeResult(
+            ok=True,
+            status="success",
+            data=data.get("result", data),
+        )
+    
+    def invoke_stream(
+        self,
+        name: str,
+        input_data: Optional[Dict[str, Any]] = None,
+        config: Optional[Dict[str, Any]] = None,
+    ) -> Iterator[Dict[str, Any]]:
+        """Invoke tool with streaming (wraps sync call)."""
+        result = self.invoke(name, input_data, config)
+        if result.ok:
+            yield {"event": "result", "data": result.data}
+        else:
+            yield {"event": "error", "data": {"error": result.error}}
+    
+    def health(self) -> HealthResult:
+        """Check tools server health."""
+        result = self._make_request("GET", "/health")
+        
+        if result.get("error"):
+            return HealthResult(
+                healthy=False,
+                status="unhealthy",
+                provider_type=self.provider_type,
+                metadata={"error": result["error"].get("message", str(result["error"]))},
+            )
+        
+        data = result.get("data", {})
+        return HealthResult(
+            healthy=True,
+            status="healthy",
+            server_name=data.get("server_name", "Tools MCP Server"),
+            server_version=data.get("version"),
+            provider_type=self.provider_type,
+        )

src/praisonai/praisonai/endpoints/registry.py

@@ -0,0 +1,131 @@
+"""
+Provider Registry
+
+Central registry for provider adapters.
+"""
+
+from typing import Dict, List, Optional, Type
+
+from .providers.base import BaseProvider
+
+
+# Global provider registry
+_providers: Dict[str, Type[BaseProvider]] = {}
+
+
+def register_provider(provider_type: str, provider_class: Type[BaseProvider]) -> None:
+    """
+    Register a provider class.
+    
+    Args:
+        provider_type: Provider type identifier
+        provider_class: Provider class to register
+    """
+    _providers[provider_type] = provider_class
+
+
+def get_provider(
+    provider_type: str,
+    base_url: str = "http://localhost:8765",
+    api_key: Optional[str] = None,
+    **kwargs,
+) -> Optional[BaseProvider]:
+    """
+    Get a provider instance by type.
+    
+    Args:
+        provider_type: Provider type identifier
+        base_url: Base URL for the provider
+        api_key: Optional API key
+        **kwargs: Additional provider-specific arguments
+        
+    Returns:
+        Provider instance or None if not found
+    """
+    # Lazy register built-in providers
+    _ensure_providers_registered()
+    
+    if provider_type not in _providers:
+        return None
+    
+    return _providers[provider_type](base_url=base_url, api_key=api_key, **kwargs)
+
+
+def list_provider_types() -> List[str]:
+    """
+    List all registered provider types.
+    
+    Returns:
+        List of provider type identifiers
+    """
+    _ensure_providers_registered()
+    return list(_providers.keys())
+
+
+def get_provider_class(provider_type: str) -> Optional[Type[BaseProvider]]:
+    """
+    Get a provider class by type.
+    
+    Args:
+        provider_type: Provider type identifier
+        
+    Returns:
+        Provider class or None if not found
+    """
+    _ensure_providers_registered()
+    return _providers.get(provider_type)
+
+
+def _ensure_providers_registered() -> None:
+    """Ensure built-in providers are registered."""
+    if _providers:
+        return
+    
+    # Lazy import and register built-in providers
+    from .providers.recipe import RecipeProvider
+    from .providers.agents_api import AgentsAPIProvider
+    from .providers.mcp import MCPProvider
+    from .providers.tools_mcp import ToolsMCPProvider
+    from .providers.a2a import A2AProvider
+    from .providers.a2u import A2UProvider
+    
+    register_provider("recipe", RecipeProvider)
+    register_provider("agents-api", AgentsAPIProvider)
+    register_provider("mcp", MCPProvider)
+    register_provider("tools-mcp", ToolsMCPProvider)
+    register_provider("a2a", A2AProvider)
+    register_provider("a2u", A2UProvider)
+
+
+class ProviderRegistry:
+    """
+    Provider registry class for managing provider instances.
+    
+    This class provides a more object-oriented interface to the provider registry.
+    """
+    
+    def __init__(self):
+        """Initialize the registry."""
+        _ensure_providers_registered()
+    
+    def get(
+        self,
+        provider_type: str,
+        base_url: str = "http://localhost:8765",
+        api_key: Optional[str] = None,
+        **kwargs,
+    ) -> Optional[BaseProvider]:
+        """Get a provider instance."""
+        return get_provider(provider_type, base_url, api_key, **kwargs)
+    
+    def register(self, provider_type: str, provider_class: Type[BaseProvider]) -> None:
+        """Register a provider class."""
+        register_provider(provider_type, provider_class)
+    
+    def list_types(self) -> List[str]:
+        """List all provider types."""
+        return list_provider_types()
+    
+    def get_class(self, provider_type: str) -> Optional[Type[BaseProvider]]:
+        """Get a provider class."""
+        return get_provider_class(provider_type)

src/praisonai/praisonai/endpoints/server.py

@@ -0,0 +1,161 @@
+"""
+Unified Server Utilities
+
+Provides utilities for adding discovery endpoints to any server.
+"""
+
+from typing import Any, List, Optional
+
+from .discovery import (
+    DiscoveryDocument,
+    EndpointInfo,
+    ProviderInfo,
+    SCHEMA_VERSION,
+    create_discovery_document,
+)
+
+
+def add_discovery_routes(
+    app: Any,
+    discovery: DiscoveryDocument,
+    path: str = "/__praisonai__/discovery",
+) -> None:
+    """
+    Add unified discovery routes to a Starlette/FastAPI application.
+    
+    Args:
+        app: Starlette or FastAPI application
+        discovery: DiscoveryDocument to serve
+        path: Path for discovery endpoint
+    """
+    try:
+        from starlette.responses import JSONResponse
+        from starlette.routing import Route
+    except ImportError:
+        # Try FastAPI
+        try:
+            from fastapi.responses import JSONResponse
+        except ImportError:
+            raise ImportError("Starlette or FastAPI required for discovery routes")
+    
+    async def discovery_handler(request):
+        """Return discovery document."""
+        return JSONResponse(discovery.to_dict())
+    
+    async def health_handler(request):
+        """Return health status with discovery info."""
+        return JSONResponse({
+            "status": "healthy",
+            "schema_version": SCHEMA_VERSION,
+            "server_name": discovery.server_name,
+            "server_version": discovery.server_version,
+            "providers": [p.type for p in discovery.providers],
+            "endpoint_count": len(discovery.endpoints),
+        })
+    
+    # Add routes based on app type
+    if hasattr(app, 'add_api_route'):
+        # FastAPI
+        app.add_api_route(path, discovery_handler, methods=["GET"])
+        if not _has_route(app, "/health"):
+            app.add_api_route("/health", health_handler, methods=["GET"])
+    elif hasattr(app, 'routes'):
+        # Starlette
+        app.routes.append(Route(path, discovery_handler, methods=["GET"]))
+        if not _has_route(app, "/health"):
+            app.routes.append(Route("/health", health_handler, methods=["GET"]))
+
+
+def _has_route(app: Any, path: str) -> bool:
+    """Check if app already has a route at path."""
+    if hasattr(app, 'routes'):
+        for route in app.routes:
+            if hasattr(route, 'path') and route.path == path:
+                return True
+    return False
+
+
+def create_unified_app(
+    providers: Optional[List[str]] = None,
+    server_name: str = "praisonai",
+    host: str = "127.0.0.1",
+    port: int = 8765,
+    cors_origins: Optional[List[str]] = None,
+    api_key: Optional[str] = None,
+) -> Any:
+    """
+    Create a unified server application with discovery support.
+    
+    Args:
+        providers: List of provider types to enable
+        server_name: Server name for discovery
+        host: Server host
+        port: Server port
+        cors_origins: CORS allowed origins
+        api_key: Optional API key for authentication
+        
+    Returns:
+        FastAPI application
+    """
+    try:
+        from fastapi import FastAPI
+        from fastapi.middleware.cors import CORSMiddleware
+    except ImportError:
+        raise ImportError("FastAPI required. Install with: pip install fastapi")
+    
+    # Create discovery document
+    discovery = create_discovery_document(server_name=server_name)
+    
+    # Create FastAPI app
+    app = FastAPI(
+        title=f"{server_name} Unified API",
+        description="Unified PraisonAI endpoints server",
+        version=discovery.server_version,
+    )
+    
+    # Add CORS if configured
+    if cors_origins:
+        app.add_middleware(
+            CORSMiddleware,
+            allow_origins=cors_origins,
+            allow_methods=["*"],
+            allow_headers=["*"],
+        )
+    
+    # Add discovery routes
+    add_discovery_routes(app, discovery)
+    
+    # Store discovery document for later modification
+    app.state.discovery = discovery
+    
+    return app
+
+
+def register_endpoint_to_discovery(
+    app: Any,
+    endpoint: EndpointInfo,
+) -> None:
+    """
+    Register an endpoint to the app's discovery document.
+    
+    Args:
+        app: FastAPI/Starlette app with discovery
+        endpoint: EndpointInfo to register
+    """
+    if hasattr(app, 'state') and hasattr(app.state, 'discovery'):
+        app.state.discovery.add_endpoint(endpoint)
+
+
+def register_provider_to_discovery(
+    app: Any,
+    provider: ProviderInfo,
+) -> None:
+    """
+    Register a provider to the app's discovery document.
+    
+    Args:
+        app: FastAPI/Starlette app with discovery
+        provider: ProviderInfo to register
+    """
+    if hasattr(app, 'state') and hasattr(app.state, 'discovery'):
+        app.state.discovery.add_provider(provider)

src/praisonai/praisonai/recipe/__init__.py

@@ -0,0 +1,103 @@
+"""
+PraisonAI Recipe Module
+
+Provides a minimal, client-friendly API for running Agent Recipes.
+All imports are lazy to ensure zero performance impact on Core SDK.
+
+Usage:
+    from praisonai import recipe
+    result = recipe.run("support-reply-drafter", input={"ticket": "T-123"})
+    
+    # Or with streaming
+    for event in recipe.run_stream("transcript-generator", input="audio.mp3"):
+        print(event)
+"""
+
+__all__ = [
+    # Core API
+    "run",
+    "run_stream",
+    "validate",
+    "list_recipes",
+    "describe",
+    # Data classes
+    "RecipeResult",
+    "RecipeEvent",
+    "RecipeConfig",
+    # Exceptions
+    "RecipeError",
+    "RecipeNotFoundError",
+    "RecipeDependencyError",
+    "RecipePolicyError",
+    "RecipeValidationError",
+    # Exit codes
+    "ExitCode",
+]
+
+# Lazy loading implementation
+_module_cache = {}
+
+
+def __getattr__(name):
+    """Lazy load recipe components."""
+    if name in _module_cache:
+        return _module_cache[name]
+    
+    if name == "run":
+        from .core import run
+        _module_cache[name] = run
+        return run
+    elif name == "run_stream":
+        from .core import run_stream
+        _module_cache[name] = run_stream
+        return run_stream
+    elif name == "validate":
+        from .core import validate
+        _module_cache[name] = validate
+        return validate
+    elif name == "list_recipes":
+        from .core import list_recipes
+        _module_cache[name] = list_recipes
+        return list_recipes
+    elif name == "describe":
+        from .core import describe
+        _module_cache[name] = describe
+        return describe
+    elif name == "RecipeResult":
+        from .models import RecipeResult
+        _module_cache[name] = RecipeResult
+        return RecipeResult
+    elif name == "RecipeEvent":
+        from .models import RecipeEvent
+        _module_cache[name] = RecipeEvent
+        return RecipeEvent
+    elif name == "RecipeConfig":
+        from .models import RecipeConfig
+        _module_cache[name] = RecipeConfig
+        return RecipeConfig
+    elif name == "RecipeError":
+        from .exceptions import RecipeError
+        _module_cache[name] = RecipeError
+        return RecipeError
+    elif name == "RecipeNotFoundError":
+        from .exceptions import RecipeNotFoundError
+        _module_cache[name] = RecipeNotFoundError
+        return RecipeNotFoundError
+    elif name == "RecipeDependencyError":
+        from .exceptions import RecipeDependencyError
+        _module_cache[name] = RecipeDependencyError
+        return RecipeDependencyError
+    elif name == "RecipePolicyError":
+        from .exceptions import RecipePolicyError
+        _module_cache[name] = RecipePolicyError
+        return RecipePolicyError
+    elif name == "RecipeValidationError":
+        from .exceptions import RecipeValidationError
+        _module_cache[name] = RecipeValidationError
+        return RecipeValidationError
+    elif name == "ExitCode":
+        from .models import ExitCode
+        _module_cache[name] = ExitCode
+        return ExitCode
+    
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

src/praisonai/praisonai/recipe/core.py

@@ -0,0 +1,893 @@
+"""
+Recipe Core API
+
+Provides the main recipe execution functions.
+"""
+
+import os
+import time
+import uuid
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Dict, Iterator, List, Optional, Union
+
+from .models import (
+    RecipeResult,
+    RecipeEvent,
+    RecipeConfig,
+    RecipeInfo,
+    RecipeStatus,
+    ValidationResult,
+)
+from .exceptions import (
+    RecipeError,
+    RecipeNotFoundError,
+    RecipeDependencyError,
+    RecipePolicyError,
+    RecipeTimeoutError,
+)
+
+
+# Default denied tools (dangerous by default)
+DEFAULT_DENIED_TOOLS = [
+    "shell.exec",
+    "shell.run", 
+    "shell_tool",
+    "file.write",
+    "file.delete",
+    "fs.write",
+    "fs.delete",
+    "network.unrestricted",
+    "db.write",
+    "db.delete",
+    "execute_command",
+]
+
+
+def _generate_run_id() -> str:
+    """Generate a unique run ID."""
+    return f"run-{uuid.uuid4().hex[:12]}"
+
+
+def _generate_trace_id() -> str:
+    """Generate a trace ID for distributed tracing."""
+    return uuid.uuid4().hex
+
+
+def _get_timestamp() -> str:
+    """Get current timestamp in ISO format."""
+    return datetime.now(timezone.utc).isoformat()
+
+
+def get_template_search_paths() -> List[Path]:
+    """
+    Get list of paths to search for recipe templates.
+    
+    Precedence order:
+    1. PRAISONAI_RECIPE_PATH environment variable (colon-separated)
+    2. Current working directory ./recipes
+    3. User home ~/.praison/recipes
+    4. Agent-Recipes package templates (if installed)
+    5. Built-in templates
+    
+    Returns:
+        List of Path objects to search for templates
+    """
+    paths = []
+    
+    # 1. Environment variable
+    env_path = os.environ.get("PRAISONAI_RECIPE_PATH")
+    if env_path:
+        for p in env_path.split(os.pathsep):
+            path = Path(p).expanduser()
+            if path.exists():
+                paths.append(path)
+    
+    # 2. Current working directory
+    cwd_recipes = Path.cwd() / "recipes"
+    if cwd_recipes.exists():
+        paths.append(cwd_recipes)
+    
+    # 3. User home
+    home_recipes = Path.home() / ".praison" / "recipes"
+    if home_recipes.exists():
+        paths.append(home_recipes)
+    
+    # 4. Agent-Recipes package (lazy import)
+    try:
+        import agent_recipes
+        if hasattr(agent_recipes, 'get_template_path'):
+            agent_path = Path(agent_recipes.get_template_path(""))
+            if agent_path.parent.exists():
+                paths.append(agent_path.parent)
+        elif hasattr(agent_recipes, '__file__'):
+            agent_templates = Path(agent_recipes.__file__).parent / "templates"
+            if agent_templates.exists():
+                paths.append(agent_templates)
+    except ImportError:
+        pass
+    
+    # 5. Built-in templates (relative to this package)
+    builtin = Path(__file__).parent.parent / "templates"
+    if builtin.exists():
+        paths.append(builtin)
+    
+    return paths
+
+
+def reload_registry():
+    """
+    Reload the recipe registry, clearing any cached templates.
+    
+    This is useful for hot-reloading recipes during development
+    or when using the /admin/reload endpoint.
+    """
+    global _recipe_cache
+    if '_recipe_cache' in globals():
+        _recipe_cache.clear()
+    
+    # Also clear any module-level caches
+    import importlib
+    try:
+        from praisonai import recipe as recipe_module
+        importlib.reload(recipe_module)
+    except Exception:
+        pass
+
+
+# Recipe cache for performance
+_recipe_cache: Dict[str, Any] = {}
+
+
+def run(
+    name: str,
+    input: Union[str, Dict[str, Any]] = None,
+    config: Optional[Dict[str, Any]] = None,
+    session_id: Optional[str] = None,
+    options: Optional[Dict[str, Any]] = None,
+) -> RecipeResult:
+    """
+    Run a recipe by name.
+    
+    Args:
+        name: Recipe name or URI (e.g., "support-reply", "github:user/repo/recipe")
+        input: Input data (string path or dict)
+        config: Optional config overrides
+        session_id: Optional session ID for state grouping
+        options: Execution options:
+            - timeout_sec: Timeout in seconds (default: 300)
+            - dry_run: Validate without executing (default: False)
+            - verbose: Enable verbose output (default: False)
+            - force: Force execution even with missing deps (default: False)
+            - offline: Use only cached templates (default: False)
+            - mode: Execution mode - "dev" or "prod" (default: "dev")
+            - allow_dangerous_tools: Allow dangerous tools (default: False)
+            
+    Returns:
+        RecipeResult with run_id, status, output, metrics, trace
+        
+    Example:
+        >>> from praisonai import recipe
+        >>> result = recipe.run("support-reply", input={"ticket_id": "T-123"})
+        >>> if result.ok:
+        ...     print(result.output["reply"])
+    """
+    options = options or {}
+    config = config or {}
+    input = input or {}
+    
+    # Generate identifiers
+    run_id = _generate_run_id()
+    trace_id = _generate_trace_id()
+    session_id = session_id or f"session-{uuid.uuid4().hex[:8]}"
+    
+    start_time = time.time()
+    
+    trace = {
+        "run_id": run_id,
+        "trace_id": trace_id,
+        "session_id": session_id,
+    }
+    
+    try:
+        # Load template
+        recipe_config = _load_recipe(name, offline=options.get("offline", False))
+        
+        if recipe_config is None:
+            return RecipeResult(
+                run_id=run_id,
+                recipe=name,
+                version="unknown",
+                status=RecipeStatus.FAILED,
+                error=f"Recipe not found: {name}",
+                metrics={"duration_sec": time.time() - start_time},
+                trace=trace,
+            )
+        
+        # Check dependencies
+        if not options.get("force", False):
+            dep_result = _check_dependencies(recipe_config)
+            if not dep_result["all_satisfied"]:
+                missing = _format_missing_deps(dep_result)
+                return RecipeResult(
+                    run_id=run_id,
+                    recipe=recipe_config.name,
+                    version=recipe_config.version,
+                    status=RecipeStatus.MISSING_DEPS,
+                    error=f"Missing dependencies: {', '.join(missing)}",
+                    metrics={"duration_sec": time.time() - start_time},
+                    trace=trace,
+                )
+        
+        # Check tool permissions
+        if not options.get("allow_dangerous_tools", False):
+            policy_error = _check_tool_policy(recipe_config)
+            if policy_error:
+                return RecipeResult(
+                    run_id=run_id,
+                    recipe=recipe_config.name,
+                    version=recipe_config.version,
+                    status=RecipeStatus.POLICY_DENIED,
+                    error=policy_error,
+                    metrics={"duration_sec": time.time() - start_time},
+                    trace=trace,
+                )
+        
+        # Dry run mode
+        if options.get("dry_run", False):
+            return RecipeResult(
+                run_id=run_id,
+                recipe=recipe_config.name,
+                version=recipe_config.version,
+                status=RecipeStatus.DRY_RUN,
+                output={
+                    "plan": "Would execute recipe with provided config",
+                    "recipe": recipe_config.name,
+                    "config": {**recipe_config.defaults, **config},
+                },
+                metrics={"duration_sec": time.time() - start_time},
+                trace=trace,
+            )
+        
+        # Merge input and config
+        if isinstance(input, str):
+            merged_config = {**recipe_config.defaults, "input": input, **config}
+        else:
+            merged_config = {**recipe_config.defaults, **input, **config}
+        
+        # Execute recipe
+        output = _execute_recipe(
+            recipe_config,
+            merged_config,
+            session_id,
+            options,
+        )
+        
+        duration = time.time() - start_time
+        
+        return RecipeResult(
+            run_id=run_id,
+            recipe=recipe_config.name,
+            version=recipe_config.version,
+            status=RecipeStatus.SUCCESS,
+            output=output,
+            metrics={"duration_sec": round(duration, 2)},
+            trace=trace,
+        )
+        
+    except RecipeNotFoundError as e:
+        return RecipeResult(
+            run_id=run_id,
+            recipe=name,
+            version="unknown",
+            status=RecipeStatus.FAILED,
+            error=str(e),
+            metrics={"duration_sec": time.time() - start_time},
+            trace=trace,
+        )
+    except RecipeDependencyError as e:
+        return RecipeResult(
+            run_id=run_id,
+            recipe=e.recipe or name,
+            version="unknown",
+            status=RecipeStatus.MISSING_DEPS,
+            error=str(e),
+            metrics={"duration_sec": time.time() - start_time},
+            trace=trace,
+        )
+    except RecipePolicyError as e:
+        return RecipeResult(
+            run_id=run_id,
+            recipe=e.recipe or name,
+            version="unknown",
+            status=RecipeStatus.POLICY_DENIED,
+            error=str(e),
+            metrics={"duration_sec": time.time() - start_time},
+            trace=trace,
+        )
+    except RecipeTimeoutError as e:
+        return RecipeResult(
+            run_id=run_id,
+            recipe=name,
+            version="unknown",
+            status=RecipeStatus.TIMEOUT,
+            error=str(e),
+            metrics={"duration_sec": time.time() - start_time},
+            trace=trace,
+        )
+    except Exception as e:
+        return RecipeResult(
+            run_id=run_id,
+            recipe=name,
+            version="unknown",
+            status=RecipeStatus.FAILED,
+            error=str(e),
+            metrics={"duration_sec": time.time() - start_time},
+            trace=trace,
+        )
+
+
+def run_stream(
+    name: str,
+    input: Union[str, Dict[str, Any]] = None,
+    config: Optional[Dict[str, Any]] = None,
+    session_id: Optional[str] = None,
+    options: Optional[Dict[str, Any]] = None,
+) -> Iterator[RecipeEvent]:
+    """
+    Run a recipe with streaming events.
+    
+    Yields RecipeEvent objects for progress tracking.
+    
+    Args:
+        name: Recipe name or URI
+        input: Input data
+        config: Optional config overrides
+        session_id: Optional session ID
+        options: Execution options
+        
+    Yields:
+        RecipeEvent objects with event_type and data
+        
+    Example:
+        >>> for event in recipe.run_stream("transcript-generator", input="audio.mp3"):
+        ...     print(f"[{event.event_type}] {event.data}")
+    """
+    options = options or {}
+    config = config or {}
+    input = input or {}
+    
+    run_id = _generate_run_id()
+    trace_id = _generate_trace_id()
+    session_id = session_id or f"session-{uuid.uuid4().hex[:8]}"
+    
+    # Started event
+    yield RecipeEvent(
+        event_type="started",
+        data={
+            "run_id": run_id,
+            "recipe": name,
+            "trace_id": trace_id,
+            "session_id": session_id,
+        },
+    )
+    
+    try:
+        # Load recipe
+        yield RecipeEvent(
+            event_type="progress",
+            data={"step": "loading", "message": f"Loading recipe: {name}"},
+        )
+        
+        recipe_config = _load_recipe(name, offline=options.get("offline", False))
+        
+        if recipe_config is None:
+            yield RecipeEvent(
+                event_type="error",
+                data={"code": "not_found", "message": f"Recipe not found: {name}"},
+            )
+            return
+        
+        # Check dependencies
+        yield RecipeEvent(
+            event_type="progress",
+            data={"step": "checking_deps", "message": "Checking dependencies"},
+        )
+        
+        if not options.get("force", False):
+            dep_result = _check_dependencies(recipe_config)
+            if not dep_result["all_satisfied"]:
+                missing = _format_missing_deps(dep_result)
+                yield RecipeEvent(
+                    event_type="error",
+                    data={
+                        "code": "missing_deps",
+                        "message": f"Missing dependencies: {', '.join(missing)}",
+                        "missing": missing,
+                    },
+                )
+                return
+        
+        # Dry run
+        if options.get("dry_run", False):
+            yield RecipeEvent(
+                event_type="completed",
+                data={
+                    "run_id": run_id,
+                    "status": RecipeStatus.DRY_RUN,
+                    "message": "Dry run completed",
+                },
+            )
+            return
+        
+        # Execute
+        yield RecipeEvent(
+            event_type="progress",
+            data={"step": "executing", "message": "Executing recipe"},
+        )
+        
+        # Merge config
+        if isinstance(input, str):
+            merged_config = {**recipe_config.defaults, "input": input, **config}
+        else:
+            merged_config = {**recipe_config.defaults, **input, **config}
+        
+        start_time = time.time()
+        output = _execute_recipe(recipe_config, merged_config, session_id, options)
+        duration = time.time() - start_time
+        
+        # Output event
+        yield RecipeEvent(
+            event_type="output",
+            data={"output": output},
+        )
+        
+        # Completed event
+        yield RecipeEvent(
+            event_type="completed",
+            data={
+                "run_id": run_id,
+                "status": RecipeStatus.SUCCESS,
+                "duration_sec": round(duration, 2),
+            },
+        )
+        
+    except Exception as e:
+        yield RecipeEvent(
+            event_type="error",
+            data={"code": "execution_error", "message": str(e)},
+        )
+
+
+def validate(name: str, offline: bool = False) -> ValidationResult:
+    """
+    Validate a recipe and check dependencies.
+    
+    Args:
+        name: Recipe name or URI
+        offline: Use only cached templates
+        
+    Returns:
+        ValidationResult with valid status, errors, warnings, dependencies
+        
+    Example:
+        >>> result = recipe.validate("support-reply")
+        >>> if result.valid:
+        ...     print("Recipe is valid")
+        >>> else:
+        ...     print(f"Errors: {result.errors}")
+    """
+    errors = []
+    warnings = []
+    
+    try:
+        recipe_config = _load_recipe(name, offline=offline)
+        
+        if recipe_config is None:
+            return ValidationResult(
+                valid=False,
+                recipe=name,
+                version="unknown",
+                errors=[f"Recipe not found: {name}"],
+            )
+        
+        # Check dependencies
+        dep_result = _check_dependencies(recipe_config)
+        
+        # Check for missing required deps
+        for pkg in dep_result.get("packages", []):
+            if not pkg.get("available", False):
+                errors.append(f"Missing package: {pkg['name']}")
+        
+        for env in dep_result.get("env", []):
+            if not env.get("available", False):
+                errors.append(f"Missing env var: ${env['name']}")
+        
+        for ext in dep_result.get("external", []):
+            if not ext.get("available", False):
+                warnings.append(f"Missing external tool: {ext['name']}")
+        
+        # Check tool policy
+        policy_error = _check_tool_policy(recipe_config)
+        if policy_error:
+            warnings.append(f"Tool policy: {policy_error}")
+        
+        return ValidationResult(
+            valid=len(errors) == 0,
+            recipe=recipe_config.name,
+            version=recipe_config.version,
+            errors=errors,
+            warnings=warnings,
+            dependencies=dep_result,
+        )
+        
+    except Exception as e:
+        return ValidationResult(
+            valid=False,
+            recipe=name,
+            version="unknown",
+            errors=[str(e)],
+        )
+
+
+def list_recipes(
+    source_filter: Optional[str] = None,
+    tags: Optional[List[str]] = None,
+    offline: bool = False,
+) -> List[RecipeInfo]:
+    """
+    List available recipes.
+    
+    Args:
+        source_filter: Filter by source (local, package, github)
+        tags: Filter by tags
+        offline: Use only cached templates
+        
+    Returns:
+        List of RecipeInfo objects
+        
+    Example:
+        >>> recipes = recipe.list_recipes(tags=["video"])
+        >>> for r in recipes:
+        ...     print(f"{r.name}: {r.description}")
+    """
+    try:
+        from praisonai.templates import TemplateDiscovery
+        
+        discovery = TemplateDiscovery()
+        templates = discovery.list_templates(source_filter=source_filter)
+        
+        recipes = []
+        for t in templates:
+            # Filter by tags if specified
+            if tags:
+                template_tags = getattr(t, 'tags', []) or []
+                if not any(tag in template_tags for tag in tags):
+                    continue
+            
+            recipes.append(RecipeInfo(
+                name=t.name,
+                version=getattr(t, 'version', '1.0.0'),
+                description=getattr(t, 'description', ''),
+                tags=getattr(t, 'tags', []) or [],
+                path=str(t.path) if hasattr(t, 'path') else '',
+                source=getattr(t, 'source', 'local'),
+            ))
+        
+        return recipes
+        
+    except Exception:
+        return []
+
+
+def describe(name: str, offline: bool = False) -> Optional[RecipeConfig]:
+    """
+    Get detailed information about a recipe.
+    
+    Args:
+        name: Recipe name or URI
+        offline: Use only cached templates
+        
+    Returns:
+        RecipeConfig with full recipe details, or None if not found
+        
+    Example:
+        >>> info = recipe.describe("support-reply")
+        >>> print(f"Required env vars: {info.get_required_env()}")
+    """
+    return _load_recipe(name, offline=offline)
+
+
+# --- Internal Functions ---
+
+def _load_recipe(name: str, offline: bool = False) -> Optional[RecipeConfig]:
+    """Load a recipe by name or URI."""
+    try:
+        from praisonai.templates import TemplateDiscovery, TemplateLoader
+        
+        discovery = TemplateDiscovery()
+        discovered = discovery.find_template(name)
+        
+        if discovered:
+            loader = TemplateLoader(offline=offline)
+            template = loader.load(str(discovered.path))
+            
+            return RecipeConfig(
+                name=template.name,
+                version=template.version,
+                description=template.description,
+                author=template.author,
+                license=template.license,
+                tags=template.tags,
+                requires=template.requires,
+                tools=template.raw.get("tools", {}),
+                config_schema=template.config_schema,
+                defaults=template.defaults,
+                outputs=template.raw.get("outputs", []),
+                governance=template.raw.get("governance", {}),
+                data_policy=template.raw.get("data_policy", {}),
+                path=str(template.path) if template.path else None,
+                raw=template.raw,
+            )
+        
+        # Try loading directly as URI
+        loader = TemplateLoader(offline=offline)
+        try:
+            template = loader.load(name)
+            return RecipeConfig(
+                name=template.name,
+                version=template.version,
+                description=template.description,
+                author=template.author,
+                license=template.license,
+                tags=template.tags,
+                requires=template.requires,
+                tools=template.raw.get("tools", {}),
+                config_schema=template.config_schema,
+                defaults=template.defaults,
+                outputs=template.raw.get("outputs", []),
+                governance=template.raw.get("governance", {}),
+                data_policy=template.raw.get("data_policy", {}),
+                path=str(template.path) if template.path else None,
+                raw=template.raw,
+            )
+        except Exception:
+            pass
+        
+        return None
+        
+    except Exception:
+        return None
+
+
+def _check_dependencies(recipe_config: RecipeConfig) -> Dict[str, Any]:
+    """Check if recipe dependencies are satisfied."""
+    result = {
+        "all_satisfied": True,
+        "packages": [],
+        "env": [],
+        "tools": [],
+        "external": [],
+    }
+    
+    # Check Python packages
+    for pkg in recipe_config.get_required_packages():
+        try:
+            __import__(pkg.replace("-", "_"))
+            result["packages"].append({"name": pkg, "available": True})
+        except ImportError:
+            result["packages"].append({"name": pkg, "available": False})
+            result["all_satisfied"] = False
+    
+    # Check environment variables
+    for env_var in recipe_config.get_required_env():
+        available = env_var in os.environ
+        result["env"].append({"name": env_var, "available": available})
+        if not available:
+            result["all_satisfied"] = False
+    
+    # Check external tools
+    import shutil
+    for ext in recipe_config.get_external_deps():
+        ext_name = ext.get("name", ext) if isinstance(ext, dict) else ext
+        available = shutil.which(ext_name) is not None
+        result["external"].append({"name": ext_name, "available": available})
+        # External tools are warnings, not errors
+    
+    return result
+
+
+def _format_missing_deps(dep_result: Dict[str, Any]) -> List[str]:
+    """Format missing dependencies as a list of strings."""
+    missing = []
+    
+    for pkg in dep_result.get("packages", []):
+        if not pkg.get("available", False):
+            missing.append(pkg["name"])
+    
+    for env in dep_result.get("env", []):
+        if not env.get("available", False):
+            missing.append(f"${env['name']}")
+    
+    return missing
+
+
+def _check_tool_policy(recipe_config: RecipeConfig) -> Optional[str]:
+    """Check if recipe uses denied tools. Returns error message or None."""
+    allowed = set(recipe_config.get_allowed_tools())
+    denied = set(recipe_config.get_denied_tools())
+    required = set(recipe_config.get_required_tools())
+    
+    # Check if any required tools are in default denied list
+    for tool in required:
+        if tool in DEFAULT_DENIED_TOOLS and tool not in allowed:
+            return f"Tool '{tool}' is denied by default. Use allow_dangerous_tools=True to override."
+    
+    # Check explicit denials
+    for tool in required:
+        if tool in denied:
+            return f"Tool '{tool}' is explicitly denied by recipe policy."
+    
+    return None
+
+
+def _execute_recipe(
+    recipe_config: RecipeConfig,
+    merged_config: Dict[str, Any],
+    session_id: str,
+    options: Dict[str, Any],
+) -> Any:
+    """Execute the recipe workflow."""
+    try:
+        from praisonai.templates import TemplateLoader
+        from praisonai.templates.tool_override import create_tool_registry_with_overrides
+        
+        loader = TemplateLoader()
+        
+        # Load workflow config
+        from praisonai.templates.loader import TemplateConfig as LoaderTemplateConfig
+        
+        # Create a TemplateConfig compatible with loader
+        template_path = Path(recipe_config.path) if recipe_config.path else None
+        
+        loader_config = LoaderTemplateConfig(
+            name=recipe_config.name,
+            description=recipe_config.description,
+            version=recipe_config.version,
+            author=recipe_config.author,
+            license=recipe_config.license,
+            tags=recipe_config.tags,
+            requires=recipe_config.requires,
+            workflow_file=recipe_config.raw.get("workflow", "workflow.yaml"),
+            agents_file=recipe_config.raw.get("agents", "agents.yaml"),
+            config_schema=recipe_config.config_schema,
+            defaults=merged_config,
+            skills=recipe_config.raw.get("skills", []),
+            cli=recipe_config.raw.get("cli", {}),
+            raw=recipe_config.raw,
+            path=template_path,
+        )
+        
+        workflow_config = loader.load_workflow_config(loader_config)
+        
+        # Build tool registry
+        tool_registry = create_tool_registry_with_overrides(
+            include_defaults=True,
+            template_dir=recipe_config.path,
+        )
+        
+        # Execute based on workflow type
+        if "agents" in workflow_config and "tasks" in workflow_config:
+            return _execute_praisonai_workflow(
+                workflow_config, merged_config, tool_registry, options
+            )
+        elif "steps" in workflow_config:
+            return _execute_steps_workflow(
+                workflow_config, merged_config, tool_registry, options
+            )
+        else:
+            # Simple agent execution
+            return _execute_simple_agent(
+                workflow_config, merged_config, tool_registry, options
+            )
+            
+    except ImportError as e:
+        raise RecipeError(f"Missing dependency for recipe execution: {e}")
+    except Exception as e:
+        raise RecipeError(f"Recipe execution failed: {e}")
+
+
+def _execute_praisonai_workflow(
+    workflow_config: Dict[str, Any],
+    config: Dict[str, Any],
+    tool_registry: Any,
+    options: Dict[str, Any],
+) -> Any:
+    """Execute a PraisonAI agents/tasks workflow."""
+    from praisonaiagents import Agent, Task, PraisonAIAgents
+    from praisonai.templates.tool_override import resolve_tools
+    
+    agents = []
+    agent_map = {}
+    
+    for agent_cfg in workflow_config.get("agents", []):
+        agent_tools = resolve_tools(
+            agent_cfg.get("tools", []),
+            registry=tool_registry,
+        )
+        
+        agent = Agent(
+            name=agent_cfg.get("name", "Agent"),
+            role=agent_cfg.get("role", ""),
+            goal=agent_cfg.get("goal", ""),
+            backstory=agent_cfg.get("backstory", ""),
+            tools=agent_tools if agent_tools else None,
+            llm=agent_cfg.get("llm"),
+            verbose=options.get("verbose", False),
+        )
+        agents.append(agent)
+        agent_map[agent_cfg.get("name")] = agent
+    
+    tasks = []
+    for task_cfg in workflow_config.get("tasks", []):
+        agent_name = task_cfg.get("agent")
+        agent = agent_map.get(agent_name, agents[0] if agents else None)
+        
+        # Substitute config values in description
+        description = task_cfg.get("description", "")
+        try:
+            description = description.format(**config)
+        except KeyError:
+            pass
+        
+        task = Task(
+            name=task_cfg.get("name", "Task"),
+            description=description,
+            expected_output=task_cfg.get("expected_output", ""),
+            agent=agent,
+        )
+        tasks.append(task)
+    
+    praison = PraisonAIAgents(
+        agents=agents,
+        tasks=tasks,
+        process=workflow_config.get("process", "sequential"),
+        verbose=options.get("verbose", 1) if options.get("verbose") else 0,
+    )
+    
+    return praison.start()
+
+
+def _execute_steps_workflow(
+    workflow_config: Dict[str, Any],
+    config: Dict[str, Any],
+    tool_registry: Any,
+    options: Dict[str, Any],
+) -> Any:
+    """Execute a steps-based workflow."""
+    # For now, convert to simple execution
+    return {"message": "Steps workflow executed", "config": config}
+
+
+def _execute_simple_agent(
+    workflow_config: Dict[str, Any],
+    config: Dict[str, Any],
+    tool_registry: Any,
+    options: Dict[str, Any],
+) -> Any:
+    """Execute a simple single-agent workflow."""
+    from praisonaiagents import Agent
+    
+    agent = Agent(
+        name=workflow_config.get("name", "RecipeAgent"),
+        role=workflow_config.get("role", "AI Assistant"),
+        goal=workflow_config.get("goal", "Complete the task"),
+        backstory=workflow_config.get("backstory", ""),
+        verbose=options.get("verbose", False),
+    )
+    
+    prompt = config.get("input", config.get("prompt", ""))
+    if prompt:
+        return agent.chat(prompt)
+    
+    return {"message": "Recipe executed", "config": config}

src/praisonai/praisonai/recipe/exceptions.py

@@ -0,0 +1,54 @@
+"""
+Recipe Exceptions
+
+Custom exceptions for recipe operations.
+"""
+
+
+class RecipeError(Exception):
+    """Base exception for recipe operations."""
+    
+    def __init__(self, message: str, recipe: str = None, details: dict = None):
+        super().__init__(message)
+        self.message = message
+        self.recipe = recipe
+        self.details = details or {}
+
+
+class RecipeNotFoundError(RecipeError):
+    """Recipe not found."""
+    pass
+
+
+class RecipeDependencyError(RecipeError):
+    """Missing dependencies for recipe execution."""
+    
+    def __init__(self, message: str, recipe: str = None, missing: list = None):
+        super().__init__(message, recipe, {"missing": missing or []})
+        self.missing = missing or []
+
+
+class RecipePolicyError(RecipeError):
+    """Security policy blocked execution."""
+    
+    def __init__(self, message: str, recipe: str = None, policy: str = None):
+        super().__init__(message, recipe, {"policy": policy})
+        self.policy = policy
+
+
+class RecipeValidationError(RecipeError):
+    """Recipe validation failed."""
+    
+    def __init__(self, message: str, recipe: str = None, errors: list = None):
+        super().__init__(message, recipe, {"errors": errors or []})
+        self.errors = errors or []
+
+
+class RecipeTimeoutError(RecipeError):
+    """Recipe execution timed out."""
+    pass
+
+
+class RecipeExecutionError(RecipeError):
+    """Recipe execution failed."""
+    pass

src/praisonai/praisonai/recipe/history.py

@@ -0,0 +1,402 @@
+"""
+Run History Storage Module
+
+Provides storage and retrieval of recipe run history for:
+- Export/replay functionality
+- Audit trails
+- Debugging and analysis
+"""
+
+import json
+import shutil
+from datetime import datetime, timezone, timedelta
+from pathlib import Path
+from typing import Any, Dict, List, Optional
+
+from .models import RecipeResult
+
+
+# Default storage path
+DEFAULT_RUNS_PATH = Path.home() / ".praison" / "runs"
+
+
+class RunHistoryError(Exception):
+    """Base exception for run history operations."""
+    pass
+
+
+class RunNotFoundError(RunHistoryError):
+    """Run not found in history."""
+    pass
+
+
+def _get_timestamp() -> str:
+    """Get current timestamp in ISO format."""
+    return datetime.now(timezone.utc).isoformat()
+
+
+class RunHistory:
+    """
+    Local run history storage.
+    
+    Storage structure:
+    ~/.praison/runs/
+    ├── index.json           # Run index for fast lookup
+    └── <run_id>/
+        ├── run.json         # Run metadata and result
+        ├── input.json       # Input data
+        ├── output.json      # Output data
+        └── events.jsonl     # Event stream (if streaming)
+    """
+    
+    def __init__(self, path: Optional[Path] = None):
+        """Initialize run history storage."""
+        self.path = Path(path) if path else DEFAULT_RUNS_PATH
+        self.index_path = self.path / "index.json"
+        self._ensure_structure()
+    
+    def _ensure_structure(self):
+        """Ensure storage directory structure exists."""
+        self.path.mkdir(parents=True, exist_ok=True)
+        if not self.index_path.exists():
+            self._save_index({"runs": {}, "updated": _get_timestamp()})
+    
+    def _load_index(self) -> Dict[str, Any]:
+        """Load run index."""
+        if self.index_path.exists():
+            with open(self.index_path) as f:
+                return json.load(f)
+        return {"runs": {}, "updated": _get_timestamp()}
+    
+    def _save_index(self, index: Dict[str, Any]):
+        """Save run index."""
+        index["updated"] = _get_timestamp()
+        with open(self.index_path, "w") as f:
+            json.dump(index, f, indent=2)
+    
+    def store(
+        self,
+        result: RecipeResult,
+        input_data: Optional[Dict[str, Any]] = None,
+        events: Optional[List[Dict[str, Any]]] = None,
+        data_policy: Optional[Dict[str, Any]] = None,
+    ) -> str:
+        """
+        Store a run result in history.
+        
+        Args:
+            result: RecipeResult to store
+            input_data: Original input data
+            events: List of streaming events (if any)
+            data_policy: Data policy for retention/export
+            
+        Returns:
+            run_id
+        """
+        run_id = result.run_id
+        run_dir = self.path / run_id
+        run_dir.mkdir(parents=True, exist_ok=True)
+        
+        # Check data policy
+        export_allowed = True
+        retention_days = None
+        if data_policy:
+            export_allowed = data_policy.get("export_allowed", True)
+            retention_days = data_policy.get("retention_days")
+        
+        # Store run metadata
+        run_data = {
+            "run_id": run_id,
+            "recipe": result.recipe,
+            "version": result.version,
+            "status": result.status,
+            "ok": result.ok,
+            "error": result.error,
+            "metrics": result.metrics,
+            "trace": result.trace,
+            "stored_at": _get_timestamp(),
+            "export_allowed": export_allowed,
+            "retention_days": retention_days,
+        }
+        
+        with open(run_dir / "run.json", "w") as f:
+            json.dump(run_data, f, indent=2)
+        
+        # Store input (if allowed)
+        if input_data and export_allowed:
+            with open(run_dir / "input.json", "w") as f:
+                json.dump(input_data, f, indent=2)
+        
+        # Store output (if allowed)
+        if result.output and export_allowed:
+            with open(run_dir / "output.json", "w") as f:
+                json.dump(result.output, f, indent=2)
+        
+        # Store events (if any)
+        if events:
+            with open(run_dir / "events.jsonl", "w") as f:
+                for event in events:
+                    f.write(json.dumps(event) + "\n")
+        
+        # Update index
+        index = self._load_index()
+        index["runs"][run_id] = {
+            "recipe": result.recipe,
+            "version": result.version,
+            "status": result.status,
+            "stored_at": run_data["stored_at"],
+            "session_id": result.trace.get("session_id"),
+        }
+        self._save_index(index)
+        
+        return run_id
+    
+    def get(self, run_id: str) -> Dict[str, Any]:
+        """
+        Get a run from history.
+        
+        Args:
+            run_id: Run ID to retrieve
+            
+        Returns:
+            Dict with run data, input, output, events
+            
+        Raises:
+            RunNotFoundError: If run not found
+        """
+        run_dir = self.path / run_id
+        if not run_dir.exists():
+            raise RunNotFoundError(f"Run not found: {run_id}")
+        
+        # Load run metadata
+        run_path = run_dir / "run.json"
+        if not run_path.exists():
+            raise RunNotFoundError(f"Run metadata missing: {run_id}")
+        
+        with open(run_path) as f:
+            run_data = json.load(f)
+        
+        # Load input
+        input_path = run_dir / "input.json"
+        if input_path.exists():
+            with open(input_path) as f:
+                run_data["input"] = json.load(f)
+        
+        # Load output
+        output_path = run_dir / "output.json"
+        if output_path.exists():
+            with open(output_path) as f:
+                run_data["output"] = json.load(f)
+        
+        # Load events
+        events_path = run_dir / "events.jsonl"
+        if events_path.exists():
+            events = []
+            with open(events_path) as f:
+                for line in f:
+                    if line.strip():
+                        events.append(json.loads(line))
+            run_data["events"] = events
+        
+        return run_data
+    
+    def list_runs(
+        self,
+        recipe: Optional[str] = None,
+        session_id: Optional[str] = None,
+        status: Optional[str] = None,
+        limit: int = 100,
+        offset: int = 0,
+    ) -> List[Dict[str, Any]]:
+        """
+        List runs from history.
+        
+        Args:
+            recipe: Filter by recipe name
+            session_id: Filter by session ID
+            status: Filter by status
+            limit: Maximum number of results
+            offset: Offset for pagination
+            
+        Returns:
+            List of run summaries
+        """
+        index = self._load_index()
+        runs = []
+        
+        for run_id, info in index["runs"].items():
+            # Apply filters
+            if recipe and info.get("recipe") != recipe:
+                continue
+            if session_id and info.get("session_id") != session_id:
+                continue
+            if status and info.get("status") != status:
+                continue
+            
+            runs.append({
+                "run_id": run_id,
+                **info,
+            })
+        
+        # Sort by stored_at descending
+        runs.sort(key=lambda x: x.get("stored_at", ""), reverse=True)
+        
+        # Apply pagination
+        return runs[offset:offset + limit]
+    
+    def export(
+        self,
+        run_id: str,
+        output_path: Optional[Path] = None,
+    ) -> Path:
+        """
+        Export a run as a JSON bundle.
+        
+        Args:
+            run_id: Run ID to export
+            output_path: Output file path (default: <run_id>.export.json)
+            
+        Returns:
+            Path to exported file
+            
+        Raises:
+            RunNotFoundError: If run not found
+            RunHistoryError: If export not allowed
+        """
+        run_data = self.get(run_id)
+        
+        # Check if export is allowed
+        if not run_data.get("export_allowed", True):
+            raise RunHistoryError(f"Export not allowed for run: {run_id}")
+        
+        # Prepare export bundle
+        export_bundle = {
+            "format": "praison-run-export",
+            "version": "1.0",
+            "exported_at": _get_timestamp(),
+            "run": run_data,
+        }
+        
+        # Write to file
+        output_path = Path(output_path) if output_path else Path(f"{run_id}.export.json")
+        with open(output_path, "w") as f:
+            json.dump(export_bundle, f, indent=2)
+        
+        return output_path
+    
+    def delete(self, run_id: str) -> bool:
+        """
+        Delete a run from history.
+        
+        Args:
+            run_id: Run ID to delete
+            
+        Returns:
+            True if deleted
+        """
+        run_dir = self.path / run_id
+        if run_dir.exists():
+            shutil.rmtree(run_dir)
+        
+        index = self._load_index()
+        if run_id in index["runs"]:
+            del index["runs"][run_id]
+            self._save_index(index)
+        
+        return True
+    
+    def cleanup(self, retention_days: Optional[int] = None) -> int:
+        """
+        Clean up old runs based on retention policy.
+        
+        Args:
+            retention_days: Override retention days (default: use per-run policy)
+            
+        Returns:
+            Number of runs deleted
+        """
+        index = self._load_index()
+        deleted = 0
+        now = datetime.now(timezone.utc)
+        
+        for run_id in list(index["runs"].keys()):
+            run_dir = self.path / run_id
+            run_path = run_dir / "run.json"
+            
+            if not run_path.exists():
+                # Clean up orphaned index entry
+                del index["runs"][run_id]
+                deleted += 1
+                continue
+            
+            with open(run_path) as f:
+                run_data = json.load(f)
+            
+            # Check retention
+            run_retention = retention_days or run_data.get("retention_days")
+            if run_retention:
+                stored_at = datetime.fromisoformat(run_data["stored_at"].replace("Z", "+00:00"))
+                if now - stored_at > timedelta(days=run_retention):
+                    self.delete(run_id)
+                    deleted += 1
+        
+        return deleted
+    
+    def get_stats(self) -> Dict[str, Any]:
+        """Get storage statistics."""
+        index = self._load_index()
+        
+        total_runs = len(index["runs"])
+        total_size = 0
+        
+        for run_id in index["runs"]:
+            run_dir = self.path / run_id
+            if run_dir.exists():
+                for f in run_dir.iterdir():
+                    if f.is_file():
+                        total_size += f.stat().st_size
+        
+        return {
+            "total_runs": total_runs,
+            "total_size_bytes": total_size,
+            "storage_path": str(self.path),
+        }
+
+
+# Global instance for convenience
+_default_history: Optional[RunHistory] = None
+
+
+def get_history(path: Optional[Path] = None) -> RunHistory:
+    """Get or create default run history instance."""
+    global _default_history
+    if path:
+        return RunHistory(path)
+    if _default_history is None:
+        _default_history = RunHistory()
+    return _default_history
+
+
+def store_run(
+    result: RecipeResult,
+    input_data: Optional[Dict[str, Any]] = None,
+    events: Optional[List[Dict[str, Any]]] = None,
+    data_policy: Optional[Dict[str, Any]] = None,
+) -> str:
+    """Convenience function to store a run."""
+    return get_history().store(result, input_data, events, data_policy)
+
+
+def get_run(run_id: str) -> Dict[str, Any]:
+    """Convenience function to get a run."""
+    return get_history().get(run_id)
+
+
+def list_runs(**kwargs) -> List[Dict[str, Any]]:
+    """Convenience function to list runs."""
+    return get_history().list_runs(**kwargs)
+
+
+def export_run(run_id: str, output_path: Optional[Path] = None) -> Path:
+    """Convenience function to export a run."""
+    return get_history().export(run_id, output_path)

src/praisonai/praisonai/recipe/models.py

@@ -0,0 +1,266 @@
+"""
+Recipe Data Models
+
+Defines the core data structures for recipe execution.
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime, timezone
+from enum import IntEnum
+from typing import Any, Dict, List, Optional
+
+
+class ExitCode(IntEnum):
+    """Stable exit codes for CLI operations."""
+    SUCCESS = 0
+    GENERAL_ERROR = 1
+    VALIDATION_ERROR = 2
+    RUNTIME_ERROR = 3
+    POLICY_DENIED = 4
+    TIMEOUT = 5
+    MISSING_DEPS = 6
+    NOT_FOUND = 7
+
+
+class RecipeStatus:
+    """Recipe execution status constants."""
+    SUCCESS = "success"
+    FAILED = "failed"
+    DRY_RUN = "dry_run"
+    POLICY_DENIED = "policy_denied"
+    TIMEOUT = "timeout"
+    MISSING_DEPS = "missing_deps"
+    VALIDATION_ERROR = "validation_error"
+
+
+@dataclass
+class RecipeResult:
+    """
+    Result of a recipe execution.
+    
+    Attributes:
+        run_id: Unique identifier for this execution
+        recipe: Recipe name
+        version: Recipe version
+        status: Execution status (success, failed, dry_run, policy_denied, etc.)
+        output: Recipe-specific output data
+        metrics: Execution metrics (duration, tokens, etc.)
+        error: Error message if failed
+        trace: Tracing identifiers (run_id, trace_id, session_id, agent_id)
+    """
+    run_id: str
+    recipe: str
+    version: str
+    status: str
+    output: Any = None
+    metrics: Dict[str, Any] = field(default_factory=dict)
+    error: Optional[str] = None
+    trace: Dict[str, str] = field(default_factory=dict)
+    
+    @property
+    def ok(self) -> bool:
+        """Check if execution was successful."""
+        return self.status in (RecipeStatus.SUCCESS, RecipeStatus.DRY_RUN)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary for JSON serialization."""
+        return {
+            "ok": self.ok,
+            "run_id": self.run_id,
+            "recipe": self.recipe,
+            "version": self.version,
+            "status": self.status,
+            "output": self.output,
+            "metrics": self.metrics,
+            "error": self.error,
+            "trace": self.trace,
+        }
+    
+    def to_exit_code(self) -> int:
+        """Convert status to CLI exit code."""
+        status_to_code = {
+            RecipeStatus.SUCCESS: ExitCode.SUCCESS,
+            RecipeStatus.DRY_RUN: ExitCode.SUCCESS,
+            RecipeStatus.FAILED: ExitCode.RUNTIME_ERROR,
+            RecipeStatus.POLICY_DENIED: ExitCode.POLICY_DENIED,
+            RecipeStatus.TIMEOUT: ExitCode.TIMEOUT,
+            RecipeStatus.MISSING_DEPS: ExitCode.MISSING_DEPS,
+            RecipeStatus.VALIDATION_ERROR: ExitCode.VALIDATION_ERROR,
+        }
+        return status_to_code.get(self.status, ExitCode.GENERAL_ERROR)
+
+
+@dataclass
+class RecipeEvent:
+    """
+    Streaming event from recipe execution.
+    
+    Attributes:
+        event_type: Type of event (started, progress, log, output, completed, error)
+        data: Event-specific data
+        timestamp: ISO format timestamp
+    """
+    event_type: str
+    data: Dict[str, Any] = field(default_factory=dict)
+    timestamp: str = ""
+    
+    def __post_init__(self):
+        if not self.timestamp:
+            self.timestamp = datetime.now(timezone.utc).isoformat()
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary for JSON/SSE serialization."""
+        return {
+            "event": self.event_type,
+            "data": self.data,
+            "timestamp": self.timestamp,
+        }
+    
+    def to_sse(self) -> str:
+        """Convert to Server-Sent Events format."""
+        import json
+        return f"event: {self.event_type}\ndata: {json.dumps(self.data)}\n\n"
+
+
+@dataclass
+class RecipeConfig:
+    """
+    Recipe configuration and metadata.
+    
+    Attributes:
+        name: Recipe name (kebab-case)
+        version: SemVer version string
+        description: Recipe description
+        author: Author name or identifier
+        license: License identifier (e.g., Apache-2.0)
+        tags: Discovery tags
+        requires: Dependencies (packages, env, tools, external)
+        tools: Tool permissions (allow, deny)
+        config_schema: JSON Schema for input configuration
+        defaults: Default configuration values
+        outputs: Expected output definitions
+        governance: Governance settings (approval, cost limits, audit)
+        data_policy: Data handling policy (PII, retention)
+        path: Source path of the recipe
+    """
+    name: str
+    version: str = "1.0.0"
+    description: str = ""
+    author: Optional[str] = None
+    license: Optional[str] = None
+    tags: List[str] = field(default_factory=list)
+    
+    # Dependencies
+    requires: Dict[str, Any] = field(default_factory=dict)
+    
+    # Tool permissions
+    tools: Dict[str, List[str]] = field(default_factory=dict)
+    
+    # Configuration
+    config_schema: Dict[str, Any] = field(default_factory=dict)
+    defaults: Dict[str, Any] = field(default_factory=dict)
+    
+    # Outputs
+    outputs: List[Dict[str, Any]] = field(default_factory=list)
+    
+    # Governance
+    governance: Dict[str, Any] = field(default_factory=dict)
+    
+    # Data policy
+    data_policy: Dict[str, Any] = field(default_factory=dict)
+    
+    # Source path
+    path: Optional[str] = None
+    
+    # Raw config dict
+    raw: Dict[str, Any] = field(default_factory=dict)
+    
+    def get_allowed_tools(self) -> List[str]:
+        """Get list of explicitly allowed tools."""
+        return self.tools.get("allow", [])
+    
+    def get_denied_tools(self) -> List[str]:
+        """Get list of explicitly denied tools."""
+        return self.tools.get("deny", [])
+    
+    def get_required_packages(self) -> List[str]:
+        """Get list of required Python packages."""
+        packages = self.requires.get("packages", [])
+        return [packages] if isinstance(packages, str) else packages
+    
+    def get_required_env(self) -> List[str]:
+        """Get list of required environment variables."""
+        env = self.requires.get("env", [])
+        return [env] if isinstance(env, str) else env
+    
+    def get_required_tools(self) -> List[str]:
+        """Get list of required tools."""
+        tools = self.requires.get("tools", [])
+        return [tools] if isinstance(tools, str) else tools
+    
+    def get_external_deps(self) -> List[Dict[str, Any]]:
+        """Get list of external dependencies (ffmpeg, etc.)."""
+        return self.requires.get("external", [])
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "name": self.name,
+            "version": self.version,
+            "description": self.description,
+            "author": self.author,
+            "license": self.license,
+            "tags": self.tags,
+            "requires": self.requires,
+            "tools": self.tools,
+            "config_schema": self.config_schema,
+            "defaults": self.defaults,
+            "outputs": self.outputs,
+            "governance": self.governance,
+            "data_policy": self.data_policy,
+            "path": self.path,
+        }
+
+
+@dataclass
+class ValidationResult:
+    """Result of recipe validation."""
+    valid: bool
+    recipe: str
+    version: str
+    errors: List[str] = field(default_factory=list)
+    warnings: List[str] = field(default_factory=list)
+    dependencies: Dict[str, Any] = field(default_factory=dict)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "valid": self.valid,
+            "recipe": self.recipe,
+            "version": self.version,
+            "errors": self.errors,
+            "warnings": self.warnings,
+            "dependencies": self.dependencies,
+        }
+
+
+@dataclass
+class RecipeInfo:
+    """Recipe information for listing/discovery."""
+    name: str
+    version: str
+    description: str
+    tags: List[str]
+    path: str
+    source: str  # local, package, github
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "name": self.name,
+            "version": self.version,
+            "description": self.description,
+            "tags": self.tags,
+            "path": self.path,
+            "source": self.source,
+        }

src/praisonai/praisonai/recipe/policy.py

@@ -0,0 +1,422 @@
+"""
+Recipe Policy Module
+
+Provides policy management for recipes:
+- Policy packs (reusable org-wide policies)
+- Tool allow/deny enforcement
+- Network/file restrictions
+- PII defaults
+- Mode enforcement (dev/prod)
+"""
+
+import json
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Set, Union
+
+import yaml
+
+
+class PolicyError(Exception):
+    """Base exception for policy operations."""
+    pass
+
+
+class PolicyDeniedError(PolicyError):
+    """Action denied by policy."""
+    pass
+
+
+# Default denied tools (dangerous by default)
+DEFAULT_DENIED_TOOLS: Set[str] = {
+    "shell.exec",
+    "shell.run",
+    "shell_tool",
+    "execute_command",
+    "file.write",
+    "file.delete",
+    "fs.write",
+    "fs.delete",
+    "network.unrestricted",
+    "db.write",
+    "db.delete",
+    "db.drop",
+}
+
+# Default allowed tools (safe by default)
+DEFAULT_ALLOWED_TOOLS: Set[str] = {
+    "web.search",
+    "web_search",
+    "tavily_search",
+    "file.read",
+    "fs.read",
+    "db.query",
+    "db.read",
+}
+
+
+class PolicyPack:
+    """
+    Reusable policy pack for org-wide policy management.
+    
+    Policy pack YAML format:
+    ```yaml
+    name: my-org-policy
+    version: "1.0"
+    description: Organization-wide security policy
+    
+    tools:
+      allow:
+        - web.search
+        - db.query
+      deny:
+        - shell.exec
+        - file.write
+    
+    network:
+      allow_domains:
+        - api.openai.com
+        - api.anthropic.com
+      deny_domains:
+        - localhost
+        - 127.0.0.1
+    
+    files:
+      allow_paths:
+        - /tmp
+        - ./outputs
+      deny_paths:
+        - /etc
+        - /var
+    
+    pii:
+      mode: redact  # allow, deny, redact
+      fields:
+        - email
+        - phone
+        - ssn
+    
+    data:
+      retention_days: 30
+      export_allowed: true
+    
+    modes:
+      dev:
+        allow_interactive_prompts: true
+        strict_tool_enforcement: false
+      prod:
+        allow_interactive_prompts: false
+        strict_tool_enforcement: true
+        require_auth: true
+    ```
+    """
+    
+    def __init__(
+        self,
+        name: str = "default",
+        config: Optional[Dict[str, Any]] = None,
+    ):
+        """Initialize policy pack."""
+        self.name = name
+        self.config = config or {}
+        
+        # Tool policies
+        self.allowed_tools: Set[str] = set(self.config.get("tools", {}).get("allow", []))
+        self.denied_tools: Set[str] = set(self.config.get("tools", {}).get("deny", []))
+        
+        # Add defaults
+        self.denied_tools.update(DEFAULT_DENIED_TOOLS)
+        
+        # Network policies
+        self.allowed_domains: Set[str] = set(self.config.get("network", {}).get("allow_domains", []))
+        self.denied_domains: Set[str] = set(self.config.get("network", {}).get("deny_domains", []))
+        
+        # File policies
+        self.allowed_paths: List[str] = self.config.get("files", {}).get("allow_paths", [])
+        self.denied_paths: List[str] = self.config.get("files", {}).get("deny_paths", [])
+        
+        # PII policy
+        self.pii_mode: str = self.config.get("pii", {}).get("mode", "allow")
+        self.pii_fields: List[str] = self.config.get("pii", {}).get("fields", [])
+        
+        # Data policy
+        self.retention_days: Optional[int] = self.config.get("data", {}).get("retention_days")
+        self.export_allowed: bool = self.config.get("data", {}).get("export_allowed", True)
+        
+        # Mode-specific settings
+        self.modes: Dict[str, Dict[str, Any]] = self.config.get("modes", {})
+    
+    @classmethod
+    def load(cls, path: Union[str, Path]) -> "PolicyPack":
+        """Load policy pack from file."""
+        path = Path(path)
+        if not path.exists():
+            raise PolicyError(f"Policy file not found: {path}")
+        
+        with open(path) as f:
+            if path.suffix in (".yaml", ".yml"):
+                config = yaml.safe_load(f)
+            else:
+                config = json.load(f)
+        
+        name = config.get("name", path.stem)
+        return cls(name=name, config=config)
+    
+    def save(self, path: Union[str, Path]):
+        """Save policy pack to file."""
+        path = Path(path)
+        
+        data = {
+            "name": self.name,
+            "version": self.config.get("version", "1.0"),
+            "description": self.config.get("description", ""),
+            "tools": {
+                "allow": list(self.allowed_tools),
+                "deny": list(self.denied_tools),
+            },
+            "network": {
+                "allow_domains": list(self.allowed_domains),
+                "deny_domains": list(self.denied_domains),
+            },
+            "files": {
+                "allow_paths": self.allowed_paths,
+                "deny_paths": self.denied_paths,
+            },
+            "pii": {
+                "mode": self.pii_mode,
+                "fields": self.pii_fields,
+            },
+            "data": {
+                "retention_days": self.retention_days,
+                "export_allowed": self.export_allowed,
+            },
+            "modes": self.modes,
+        }
+        
+        with open(path, "w") as f:
+            if path.suffix in (".yaml", ".yml"):
+                yaml.dump(data, f, default_flow_style=False)
+            else:
+                json.dump(data, f, indent=2)
+    
+    def check_tool(self, tool_id: str, mode: str = "dev") -> bool:
+        """
+        Check if a tool is allowed.
+        
+        Args:
+            tool_id: Tool identifier
+            mode: Execution mode (dev/prod)
+            
+        Returns:
+            True if allowed
+            
+        Raises:
+            PolicyDeniedError: If tool is denied
+        """
+        # Explicit deny always wins
+        if tool_id in self.denied_tools:
+            raise PolicyDeniedError(f"Tool denied by policy: {tool_id}")
+        
+        # Check mode-specific settings
+        mode_config = self.modes.get(mode, {})
+        strict = mode_config.get("strict_tool_enforcement", mode == "prod")
+        
+        if strict:
+            # In strict mode, tool must be explicitly allowed
+            if tool_id not in self.allowed_tools and tool_id not in DEFAULT_ALLOWED_TOOLS:
+                raise PolicyDeniedError(f"Tool not in allowlist (strict mode): {tool_id}")
+        
+        return True
+    
+    def check_domain(self, domain: str) -> bool:
+        """Check if a network domain is allowed."""
+        if domain in self.denied_domains:
+            raise PolicyDeniedError(f"Domain denied by policy: {domain}")
+        
+        if self.allowed_domains and domain not in self.allowed_domains:
+            raise PolicyDeniedError(f"Domain not in allowlist: {domain}")
+        
+        return True
+    
+    def check_path(self, path: str) -> bool:
+        """Check if a file path is allowed."""
+        path_obj = Path(path).resolve()
+        
+        for denied in self.denied_paths:
+            if str(path_obj).startswith(str(Path(denied).resolve())):
+                raise PolicyDeniedError(f"Path denied by policy: {path}")
+        
+        if self.allowed_paths:
+            allowed = False
+            for allow in self.allowed_paths:
+                if str(path_obj).startswith(str(Path(allow).resolve())):
+                    allowed = True
+                    break
+            if not allowed:
+                raise PolicyDeniedError(f"Path not in allowlist: {path}")
+        
+        return True
+    
+    def get_data_policy(self) -> Dict[str, Any]:
+        """Get data policy configuration."""
+        return {
+            "pii": {
+                "mode": self.pii_mode,
+                "fields": self.pii_fields,
+            },
+            "retention_days": self.retention_days,
+            "export_allowed": self.export_allowed,
+        }
+    
+    def get_mode_config(self, mode: str) -> Dict[str, Any]:
+        """Get mode-specific configuration."""
+        return self.modes.get(mode, {})
+    
+    def merge(self, other: "PolicyPack") -> "PolicyPack":
+        """
+        Merge another policy pack (other takes precedence).
+        
+        Args:
+            other: Policy pack to merge
+            
+        Returns:
+            New merged policy pack
+        """
+        merged_config = {
+            "name": f"{self.name}+{other.name}",
+            "tools": {
+                "allow": list(self.allowed_tools | other.allowed_tools),
+                "deny": list(self.denied_tools | other.denied_tools),
+            },
+            "network": {
+                "allow_domains": list(self.allowed_domains | other.allowed_domains),
+                "deny_domains": list(self.denied_domains | other.denied_domains),
+            },
+            "files": {
+                "allow_paths": self.allowed_paths + other.allowed_paths,
+                "deny_paths": self.denied_paths + other.denied_paths,
+            },
+            "pii": {
+                "mode": other.pii_mode or self.pii_mode,
+                "fields": list(set(self.pii_fields + other.pii_fields)),
+            },
+            "data": {
+                "retention_days": other.retention_days or self.retention_days,
+                "export_allowed": other.export_allowed and self.export_allowed,
+            },
+            "modes": {**self.modes, **other.modes},
+        }
+        
+        return PolicyPack(name=merged_config["name"], config=merged_config)
+    
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary."""
+        return {
+            "name": self.name,
+            "tools": {
+                "allow": list(self.allowed_tools),
+                "deny": list(self.denied_tools),
+            },
+            "network": {
+                "allow_domains": list(self.allowed_domains),
+                "deny_domains": list(self.denied_domains),
+            },
+            "files": {
+                "allow_paths": self.allowed_paths,
+                "deny_paths": self.denied_paths,
+            },
+            "pii": {
+                "mode": self.pii_mode,
+                "fields": self.pii_fields,
+            },
+            "data": {
+                "retention_days": self.retention_days,
+                "export_allowed": self.export_allowed,
+            },
+            "modes": self.modes,
+        }
+
+
+# Default policy packs
+DEFAULT_DEV_POLICY = PolicyPack(
+    name="default-dev",
+    config={
+        "tools": {
+            "allow": list(DEFAULT_ALLOWED_TOOLS),
+            "deny": list(DEFAULT_DENIED_TOOLS),
+        },
+        "pii": {"mode": "allow"},
+        "modes": {
+            "dev": {
+                "allow_interactive_prompts": True,
+                "strict_tool_enforcement": False,
+            },
+        },
+    },
+)
+
+DEFAULT_PROD_POLICY = PolicyPack(
+    name="default-prod",
+    config={
+        "tools": {
+            "allow": list(DEFAULT_ALLOWED_TOOLS),
+            "deny": list(DEFAULT_DENIED_TOOLS),
+        },
+        "pii": {"mode": "redact", "fields": ["email", "phone", "ssn"]},
+        "modes": {
+            "prod": {
+                "allow_interactive_prompts": False,
+                "strict_tool_enforcement": True,
+                "require_auth": True,
+            },
+        },
+    },
+)
+
+
+def get_default_policy(mode: str = "dev") -> PolicyPack:
+    """Get default policy for a mode."""
+    if mode == "prod":
+        return DEFAULT_PROD_POLICY
+    return DEFAULT_DEV_POLICY
+
+
+def load_policy(
+    policy_path: Optional[Union[str, Path]] = None,
+    mode: str = "dev",
+) -> PolicyPack:
+    """
+    Load policy from file or return default.
+    
+    Args:
+        policy_path: Path to policy file (optional)
+        mode: Execution mode
+        
+    Returns:
+        PolicyPack instance
+    """
+    if policy_path:
+        return PolicyPack.load(policy_path)
+    return get_default_policy(mode)
+
+
+def check_tool_policy(
+    tool_id: str,
+    policy: Optional[PolicyPack] = None,
+    mode: str = "dev",
+) -> bool:
+    """
+    Check if a tool is allowed by policy.
+    
+    Args:
+        tool_id: Tool identifier
+        policy: Policy pack (optional, uses default)
+        mode: Execution mode
+        
+    Returns:
+        True if allowed
+        
+    Raises:
+        PolicyDeniedError: If tool is denied
+    """
+    policy = policy or get_default_policy(mode)
+    return policy.check_tool(tool_id, mode)

src/praisonai/praisonai/recipe/registry.py

@@ -0,0 +1,558 @@
+"""
+Recipe Registry Module
+
+Provides local and remote registry support for recipe distribution.
+Supports:
+- Local filesystem registry (~/.praison/registry)
+- Remote HTTP registry (optional)
+- Publish, pull, search, list operations
+"""
+
+import hashlib
+import json
+import os
+import shutil
+import tarfile
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Union
+from urllib.parse import urlparse
+
+
+# Default registry paths
+DEFAULT_REGISTRY_PATH = Path.home() / ".praison" / "registry"
+DEFAULT_RUNS_PATH = Path.home() / ".praison" / "runs"
+
+
+class RegistryError(Exception):
+    """Base exception for registry operations."""
+    pass
+
+
+class RecipeNotFoundError(RegistryError):
+    """Recipe not found in registry."""
+    pass
+
+
+class RecipeExistsError(RegistryError):
+    """Recipe version already exists in registry."""
+    pass
+
+
+class RegistryAuthError(RegistryError):
+    """Authentication failed for registry."""
+    pass
+
+
+def _get_timestamp() -> str:
+    """Get current timestamp in ISO format."""
+    return datetime.now(timezone.utc).isoformat()
+
+
+def _calculate_checksum(file_path: Path) -> str:
+    """Calculate SHA256 checksum of a file."""
+    sha256 = hashlib.sha256()
+    with open(file_path, "rb") as f:
+        for chunk in iter(lambda: f.read(8192), b""):
+            sha256.update(chunk)
+    return sha256.hexdigest()
+
+
+class LocalRegistry:
+    """
+    Local filesystem-based recipe registry.
+    
+    Storage structure:
+    ~/.praison/registry/
+    ├── index.json           # Registry index
+    └── recipes/
+        └── <name>/
+            └── <version>/
+                ├── manifest.json
+                └── <name>-<version>.praison
+    """
+    
+    def __init__(self, path: Optional[Path] = None):
+        """Initialize local registry."""
+        self.path = Path(path) if path else DEFAULT_REGISTRY_PATH
+        self.recipes_path = self.path / "recipes"
+        self.index_path = self.path / "index.json"
+        self._ensure_structure()
+    
+    def _ensure_structure(self):
+        """Ensure registry directory structure exists."""
+        self.path.mkdir(parents=True, exist_ok=True)
+        self.recipes_path.mkdir(parents=True, exist_ok=True)
+        if not self.index_path.exists():
+            self._save_index({"recipes": {}, "updated": _get_timestamp()})
+    
+    def _load_index(self) -> Dict[str, Any]:
+        """Load registry index."""
+        if self.index_path.exists():
+            with open(self.index_path) as f:
+                return json.load(f)
+        return {"recipes": {}, "updated": _get_timestamp()}
+    
+    def _save_index(self, index: Dict[str, Any]):
+        """Save registry index."""
+        index["updated"] = _get_timestamp()
+        with open(self.index_path, "w") as f:
+            json.dump(index, f, indent=2)
+    
+    def publish(
+        self,
+        bundle_path: Union[str, Path],
+        force: bool = False,
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> Dict[str, Any]:
+        """
+        Publish a recipe bundle to the registry.
+        
+        Args:
+            bundle_path: Path to .praison bundle file
+            force: Overwrite existing version if True
+            metadata: Additional metadata to store
+            
+        Returns:
+            Dict with name, version, path, checksum
+            
+        Raises:
+            RecipeExistsError: If version exists and force=False
+            RegistryError: If bundle is invalid
+        """
+        bundle_path = Path(bundle_path)
+        if not bundle_path.exists():
+            raise RegistryError(f"Bundle not found: {bundle_path}")
+        
+        # Extract manifest from bundle
+        try:
+            with tarfile.open(bundle_path, "r:gz") as tar:
+                manifest_file = tar.extractfile("manifest.json")
+                if not manifest_file:
+                    raise RegistryError("Bundle missing manifest.json")
+                manifest = json.load(manifest_file)
+        except tarfile.TarError as e:
+            raise RegistryError(f"Invalid bundle format: {e}")
+        
+        name = manifest.get("name")
+        version = manifest.get("version")
+        
+        if not name or not version:
+            raise RegistryError("Bundle manifest missing name or version")
+        
+        # Check if version exists
+        recipe_dir = self.recipes_path / name / version
+        if recipe_dir.exists() and not force:
+            raise RecipeExistsError(f"Recipe {name}@{version} already exists. Use --force to overwrite.")
+        
+        # Create recipe directory
+        recipe_dir.mkdir(parents=True, exist_ok=True)
+        
+        # Copy bundle
+        bundle_name = f"{name}-{version}.praison"
+        dest_path = recipe_dir / bundle_name
+        shutil.copy2(bundle_path, dest_path)
+        
+        # Calculate checksum
+        checksum = _calculate_checksum(dest_path)
+        
+        # Create registry manifest
+        registry_manifest = {
+            "name": name,
+            "version": version,
+            "description": manifest.get("description", ""),
+            "tags": manifest.get("tags", []),
+            "author": manifest.get("author", ""),
+            "checksum": checksum,
+            "published_at": _get_timestamp(),
+            "bundle_path": str(dest_path),
+            "files": manifest.get("files", []),
+            **(metadata or {}),
+        }
+        
+        # Save manifest
+        manifest_path = recipe_dir / "manifest.json"
+        with open(manifest_path, "w") as f:
+            json.dump(registry_manifest, f, indent=2)
+        
+        # Update index
+        index = self._load_index()
+        if name not in index["recipes"]:
+            index["recipes"][name] = {"versions": {}, "latest": version}
+        
+        index["recipes"][name]["versions"][version] = {
+            "checksum": checksum,
+            "published_at": registry_manifest["published_at"],
+        }
+        index["recipes"][name]["latest"] = version
+        self._save_index(index)
+        
+        return {
+            "name": name,
+            "version": version,
+            "path": str(dest_path),
+            "checksum": checksum,
+            "published_at": registry_manifest["published_at"],
+        }
+    
+    def pull(
+        self,
+        name: str,
+        version: Optional[str] = None,
+        output_dir: Optional[Path] = None,
+        verify_checksum: bool = True,
+    ) -> Dict[str, Any]:
+        """
+        Pull a recipe from the registry.
+        
+        Args:
+            name: Recipe name
+            version: Version to pull (default: latest)
+            output_dir: Directory to extract to
+            verify_checksum: Verify bundle checksum
+            
+        Returns:
+            Dict with name, version, path
+            
+        Raises:
+            RecipeNotFoundError: If recipe/version not found
+        """
+        index = self._load_index()
+        
+        if name not in index["recipes"]:
+            raise RecipeNotFoundError(f"Recipe not found: {name}")
+        
+        recipe_info = index["recipes"][name]
+        version = version or recipe_info.get("latest")
+        
+        if version not in recipe_info["versions"]:
+            raise RecipeNotFoundError(f"Version not found: {name}@{version}")
+        
+        # Get bundle path
+        bundle_name = f"{name}-{version}.praison"
+        bundle_path = self.recipes_path / name / version / bundle_name
+        
+        if not bundle_path.exists():
+            raise RecipeNotFoundError(f"Bundle file missing: {bundle_path}")
+        
+        # Verify checksum
+        if verify_checksum:
+            expected = recipe_info["versions"][version]["checksum"]
+            actual = _calculate_checksum(bundle_path)
+            if expected != actual:
+                raise RegistryError(f"Checksum mismatch for {name}@{version}")
+        
+        # Extract to output directory
+        output_dir = Path(output_dir) if output_dir else Path.cwd()
+        output_dir.mkdir(parents=True, exist_ok=True)
+        
+        recipe_dir = output_dir / name
+        recipe_dir.mkdir(parents=True, exist_ok=True)
+        
+        with tarfile.open(bundle_path, "r:gz") as tar:
+            tar.extractall(recipe_dir)
+        
+        return {
+            "name": name,
+            "version": version,
+            "path": str(recipe_dir),
+            "bundle_path": str(bundle_path),
+        }
+    
+    def list_recipes(
+        self,
+        tags: Optional[List[str]] = None,
+    ) -> List[Dict[str, Any]]:
+        """
+        List all recipes in the registry.
+        
+        Args:
+            tags: Filter by tags (optional)
+            
+        Returns:
+            List of recipe info dicts
+        """
+        index = self._load_index()
+        recipes = []
+        
+        for name, info in index["recipes"].items():
+            # Load full manifest for latest version
+            latest = info.get("latest")
+            if latest:
+                manifest_path = self.recipes_path / name / latest / "manifest.json"
+                if manifest_path.exists():
+                    with open(manifest_path) as f:
+                        manifest = json.load(f)
+                    
+                    # Filter by tags if specified
+                    if tags:
+                        recipe_tags = manifest.get("tags", [])
+                        if not any(t in recipe_tags for t in tags):
+                            continue
+                    
+                    recipes.append({
+                        "name": name,
+                        "version": latest,
+                        "description": manifest.get("description", ""),
+                        "tags": manifest.get("tags", []),
+                        "versions": list(info["versions"].keys()),
+                    })
+        
+        return recipes
+    
+    def search(
+        self,
+        query: str,
+        tags: Optional[List[str]] = None,
+    ) -> List[Dict[str, Any]]:
+        """
+        Search recipes by name, description, or tags.
+        
+        Args:
+            query: Search query
+            tags: Filter by tags (optional)
+            
+        Returns:
+            List of matching recipe info dicts
+        """
+        all_recipes = self.list_recipes(tags=tags)
+        query_lower = query.lower()
+        
+        results = []
+        for recipe in all_recipes:
+            # Search in name, description, tags
+            if (
+                query_lower in recipe["name"].lower()
+                or query_lower in recipe.get("description", "").lower()
+                or any(query_lower in t.lower() for t in recipe.get("tags", []))
+            ):
+                results.append(recipe)
+        
+        return results
+    
+    def get_versions(self, name: str) -> List[str]:
+        """Get all versions of a recipe."""
+        index = self._load_index()
+        if name not in index["recipes"]:
+            raise RecipeNotFoundError(f"Recipe not found: {name}")
+        return list(index["recipes"][name]["versions"].keys())
+    
+    def get_info(self, name: str, version: Optional[str] = None) -> Dict[str, Any]:
+        """Get detailed info about a recipe version."""
+        index = self._load_index()
+        if name not in index["recipes"]:
+            raise RecipeNotFoundError(f"Recipe not found: {name}")
+        
+        recipe_info = index["recipes"][name]
+        version = version or recipe_info.get("latest")
+        
+        manifest_path = self.recipes_path / name / version / "manifest.json"
+        if not manifest_path.exists():
+            raise RecipeNotFoundError(f"Version not found: {name}@{version}")
+        
+        with open(manifest_path) as f:
+            return json.load(f)
+    
+    def delete(self, name: str, version: Optional[str] = None) -> bool:
+        """
+        Delete a recipe or specific version.
+        
+        Args:
+            name: Recipe name
+            version: Version to delete (None = all versions)
+            
+        Returns:
+            True if deleted
+        """
+        index = self._load_index()
+        if name not in index["recipes"]:
+            raise RecipeNotFoundError(f"Recipe not found: {name}")
+        
+        if version:
+            # Delete specific version
+            version_dir = self.recipes_path / name / version
+            if version_dir.exists():
+                shutil.rmtree(version_dir)
+            
+            if version in index["recipes"][name]["versions"]:
+                del index["recipes"][name]["versions"][version]
+            
+            # Update latest if needed
+            versions = list(index["recipes"][name]["versions"].keys())
+            if versions:
+                index["recipes"][name]["latest"] = sorted(versions)[-1]
+            else:
+                del index["recipes"][name]
+        else:
+            # Delete all versions
+            recipe_dir = self.recipes_path / name
+            if recipe_dir.exists():
+                shutil.rmtree(recipe_dir)
+            del index["recipes"][name]
+        
+        self._save_index(index)
+        return True
+
+
+class RemoteRegistry:
+    """
+    Remote HTTP-based recipe registry client.
+    
+    Supports:
+    - Token-based authentication
+    - Publish/pull operations
+    - Search and list
+    """
+    
+    def __init__(
+        self,
+        url: str,
+        token: Optional[str] = None,
+        timeout: int = 30,
+    ):
+        """
+        Initialize remote registry client.
+        
+        Args:
+            url: Registry base URL
+            token: Authentication token
+            timeout: Request timeout in seconds
+        """
+        self.url = url.rstrip("/")
+        self.token = token or os.environ.get("PRAISONAI_REGISTRY_TOKEN")
+        self.timeout = timeout
+    
+    def _request(
+        self,
+        method: str,
+        path: str,
+        data: Optional[Dict] = None,
+        files: Optional[Dict] = None,
+    ) -> Dict[str, Any]:
+        """Make HTTP request to registry."""
+        import urllib.request
+        import urllib.error
+        
+        url = f"{self.url}{path}"
+        headers = {"Content-Type": "application/json"}
+        
+        if self.token:
+            headers["Authorization"] = f"Bearer {self.token}"
+        
+        body = json.dumps(data).encode() if data else None
+        
+        try:
+            req = urllib.request.Request(url, data=body, headers=headers, method=method)
+            with urllib.request.urlopen(req, timeout=self.timeout) as response:
+                return json.loads(response.read().decode())
+        except urllib.error.HTTPError as e:
+            if e.code == 401:
+                raise RegistryAuthError("Authentication failed")
+            elif e.code == 404:
+                raise RecipeNotFoundError(f"Not found: {path}")
+            else:
+                body = e.read().decode() if e.fp else ""
+                raise RegistryError(f"Registry error ({e.code}): {body}")
+        except urllib.error.URLError as e:
+            raise RegistryError(f"Connection error: {e.reason}")
+    
+    def publish(
+        self,
+        bundle_path: Union[str, Path],
+        force: bool = False,
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> Dict[str, Any]:
+        """Publish bundle to remote registry."""
+        bundle_path = Path(bundle_path)
+        if not bundle_path.exists():
+            raise RegistryError(f"Bundle not found: {bundle_path}")
+        
+        # For remote, we'd upload the file
+        # This is a simplified implementation
+        with open(bundle_path, "rb") as f:
+            bundle_data = f.read()
+        
+        import base64
+        encoded = base64.b64encode(bundle_data).decode()
+        
+        return self._request("POST", "/v1/recipes/publish", {
+            "bundle": encoded,
+            "force": force,
+            "metadata": metadata or {},
+        })
+    
+    def pull(
+        self,
+        name: str,
+        version: Optional[str] = None,
+        output_dir: Optional[Path] = None,
+        verify_checksum: bool = True,
+    ) -> Dict[str, Any]:
+        """Pull recipe from remote registry."""
+        version_str = f"@{version}" if version else ""
+        result = self._request("GET", f"/v1/recipes/{name}{version_str}/download")
+        
+        # Decode and save bundle
+        import base64
+        bundle_data = base64.b64decode(result["bundle"])
+        
+        output_dir = Path(output_dir) if output_dir else Path.cwd()
+        output_dir.mkdir(parents=True, exist_ok=True)
+        
+        bundle_path = output_dir / f"{name}-{result['version']}.praison"
+        with open(bundle_path, "wb") as f:
+            f.write(bundle_data)
+        
+        # Extract
+        recipe_dir = output_dir / name
+        recipe_dir.mkdir(parents=True, exist_ok=True)
+        
+        with tarfile.open(bundle_path, "r:gz") as tar:
+            tar.extractall(recipe_dir)
+        
+        return {
+            "name": name,
+            "version": result["version"],
+            "path": str(recipe_dir),
+            "bundle_path": str(bundle_path),
+        }
+    
+    def list_recipes(self, tags: Optional[List[str]] = None) -> List[Dict[str, Any]]:
+        """List recipes from remote registry."""
+        params = ""
+        if tags:
+            params = f"?tags={','.join(tags)}"
+        return self._request("GET", f"/v1/recipes{params}").get("recipes", [])
+    
+    def search(self, query: str, tags: Optional[List[str]] = None) -> List[Dict[str, Any]]:
+        """Search recipes in remote registry."""
+        params = f"?q={query}"
+        if tags:
+            params += f"&tags={','.join(tags)}"
+        return self._request("GET", f"/v1/recipes/search{params}").get("results", [])
+
+
+def get_registry(
+    registry: Optional[str] = None,
+    token: Optional[str] = None,
+) -> Union[LocalRegistry, RemoteRegistry]:
+    """
+    Get appropriate registry instance.
+    
+    Args:
+        registry: Registry path or URL (default: local)
+        token: Auth token for remote registry
+        
+    Returns:
+        LocalRegistry or RemoteRegistry instance
+    """
+    if registry is None:
+        return LocalRegistry()
+    
+    # Check if it's a URL
+    parsed = urlparse(registry)
+    if parsed.scheme in ("http", "https"):
+        return RemoteRegistry(registry, token=token)
+    
+    # Local path
+    return LocalRegistry(Path(registry))