fix: address valkey integration issues from code review

- Fix JSON encoding consistency in ValkeyStateStore to prevent type confusion
- Add TTL guards for ExpirySet/ExpiryType to prevent cryptic RuntimeError
- Add warning for score threshold limitation (cosine distance only)
- Fix metadata persistence in KnowledgeDocument (now properly round-tripped)
- Improve exception handling - only catch specific 'index not found' errors
- Fix URL parameter handling in registry factories (reject with clear error)
- Add input validation for vector dimensions and k parameter

Co-authored-by: Mervin Praison <[email protected]>

.env.example

@@ -37,6 +37,14 @@ WHATSAPP_PHONE_NUMBER_ID=...   # WhatsApp phone number ID
 # === Optional: Database ===
 DATABASE_URL=sqlite:///~/.praison/database.sqlite  # Database connection string
 
+# === Optional: Tool Security ===
+# ALLOWED_TOOLS=search,send_message       # Whitelist specific tools to prevent name collisions
+                                        # Useful in multi-environment setups with overlapping tool names
+                                        # Leave unset to use all tools (with collision warnings)
+                                        # Do NOT set to empty string: that's treated as configuration error
+                                        # In CI, unknown tool names in the whitelist cause strict startup failure
+# HERMES_ONLY_TOOLS=search,send_message  # (Deprecated) Backward compatibility alias for ALLOWED_TOOLS
+
 # === Optional: Development ===
 LOGLEVEL=INFO                  # Logging level (DEBUG, INFO, WARNING, ERROR)
 CHAINLIT_AUTH_SECRET=...       # Chainlit authentication secret

.github/workflows/test-windows.yml

@@ -26,8 +26,8 @@ jobs:
     
     steps:
     - uses: actions/checkout@v4
-        with:
-          persist-credentials: false
+      with:
+        persist-credentials: false
     - name: Set up Python 3.11
       uses: actions/setup-python@v5
       with:
@@ -176,6 +176,18 @@ jobs:
       run: praisonai queue list
       continue-on-error: true
 
+    # ==================== PACKAGING TESTS ====================
+    - name: Test packaging/daemon entry points
+      run: |
+        echo "Testing both entry point methods..."
+        python -m praisonai --version
+        praisonai --version
+
+    - name: Test doctor packaging command
+      run: |
+        echo "Testing doctor packaging diagnostics..."
+        praisonai doctor packaging --json
+
     # ==================== REAL API TESTS ====================
     - name: Real API test - Agent run
       if: env.OPENAI_API_KEY != ''

api.md

@@ -183,6 +183,7 @@ Methods:
 * <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_available_tools</a>(context: Optional[Dict[str, Any]] = None) -> List[Union[BaseTool, Callable]]</code>
 * <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_base_tools</a>() -> List[BaseTool]</code>
 * <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_tools</a>() -> List[str]</code>
+* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_tools_with_allowed_filter</a>(context: Optional[Dict[str, Any]] = None) -> List[str]</code>
 * <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">register</a>(tool: Union[BaseTool, Callable], name: Optional[str] = None, overwrite: bool = False) -> None</code>
 * <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">unregister</a>(name: str) -> bool</code>
 * <code title="class Tools">Tools.<a href="./src/praisonai-agents/praisonaiagents/tools/tools.py">internet_search</a>(*args, **kwargs)</code>
@@ -857,6 +858,7 @@ Methods:
 * <code title="cli">praisonai doctor env <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
 * <code title="cli">praisonai doctor mcp <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
 * <code title="cli">praisonai doctor network <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
+* <code title="cli">praisonai doctor packaging <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
 * <code title="cli">praisonai doctor performance <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
 * <code title="cli">praisonai doctor selftest <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
 * <code title="cli">praisonai doctor tools <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>

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>=4.6.41" \
+    "praisonai>=4.6.43" \
     "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>=4.6.41" \
+    "praisonai>=4.6.43" \
     "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>=4.6.41" \
+    "praisonai>=4.6.43" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

src/praisonai-agents/praisonaiagents/agent/chat_mixin.py

@@ -753,11 +753,11 @@ Your Goal: {self.goal}"""
             
             # Create LLMError with contextual metadata
             error = LLMError(
-                str(e), 
-                model_name=model_name, 
-                agent_id=self.name, 
+                str(e),
+                model_name=model_name,
+                agent_id=self.name,
                 is_retryable=is_retryable,
-                session_id=session_id
+                context={"session_id": session_id},
             )
             
             # Call error hook if available for error interception
@@ -902,7 +902,7 @@ Your Goal: {self.goal}"""
                 max_tokens=getattr(self, 'max_tokens', None),
                 stream=stream,
                 response_format=response_format,
-                execute_tool_fn=getattr(self, 'execute_tool', None),
+                execute_tool_fn=getattr(self, 'execute_tool_async', None),
                 console=self.console if (self.verbose or stream) else None,
                 display_fn=self._display_generating if self.verbose else None,
                 stream_callback=stream_callback,
@@ -935,6 +935,151 @@ Your Goal: {self.goal}"""
             logging.error(f"Unified async chat completion failed: {e}")
             raise
 
+    async def _finalize_unified_achat_response(
+        self,
+        response,
+        original_prompt,
+        temperature,
+        tools,
+        output_json,
+        output_pydantic,
+        reasoning_steps,
+        stream,
+        messages,
+        chat_history_length,
+        start_time,
+        task_name=None,
+        task_description=None,
+        task_id=None,
+    ):
+        """Post-process unified achat completion (parity with sync _chat_impl)."""
+        if not response:
+            self._truncate_chat_history(chat_history_length)
+            return None
+
+        if hasattr(response, "choices") and response.choices:
+            msg = response.choices[0].message
+            content = getattr(msg, "content", None)
+            response_text = content.strip() if content else ""
+            if (
+                reasoning_steps
+                and getattr(msg, "reasoning_content", None)
+            ):
+                response_text = msg.reasoning_content.strip()
+        else:
+            extracted = self._extract_llm_response_content(response)
+            response_text = (extracted or "").strip() if isinstance(extracted, str) else str(extracted or "")
+
+        if output_json or output_pydantic:
+            self._append_to_chat_history({"role": "assistant", "content": response_text})
+            self._persist_message("assistant", response_text)
+            try:
+                validated_response = self._apply_guardrail_with_retry(
+                    response_text, original_prompt, temperature, tools,
+                    task_name, task_description, task_id,
+                )
+                self._execute_callback_and_display(
+                    original_prompt, validated_response, time.time() - start_time,
+                    task_name, task_description, task_id,
+                )
+                return await self._atrigger_after_agent_hook(
+                    original_prompt, validated_response, start_time,
+                )
+            except Exception as e:
+                logging.error(f"Agent {self.name}: Guardrail validation failed for JSON output: {e}")
+                self._truncate_chat_history(chat_history_length)
+                return None
+
+        if not self.self_reflect:
+            self._append_to_chat_history({"role": "assistant", "content": response_text})
+            self._persist_message("assistant", response_text)
+            try:
+                validated_response = self._apply_guardrail_with_retry(
+                    response_text, original_prompt, temperature, tools,
+                    task_name, task_description, task_id,
+                )
+                self._execute_callback_and_display(
+                    original_prompt, validated_response, time.time() - start_time,
+                    task_name, task_description, task_id,
+                )
+                return await self._atrigger_after_agent_hook(
+                    original_prompt, validated_response, start_time,
+                )
+            except Exception as e:
+                logging.error(f"Agent {self.name}: Guardrail validation failed: {e}")
+                self._truncate_chat_history(chat_history_length)
+                return None
+
+        # Self-reflection (legacy OpenAI path)
+        reflection_count = 0
+        while True:
+            reflection_prompt = f"""
+Reflect on your previous response: '{response_text}'.
+{self.reflect_prompt if self.reflect_prompt else "Identify any flaws, improvements, or actions."}
+Provide a "satisfactory" status ('yes' or 'no').
+Output MUST be JSON with 'reflection' and 'satisfactory'.
+            """
+            reflection_messages = messages + [
+                {"role": "assistant", "content": response_text},
+                {"role": "user", "content": reflection_prompt},
+            ]
+            try:
+                if self._openai_client is None:
+                    self._append_to_chat_history({"role": "assistant", "content": response_text})
+                    return await self._atrigger_after_agent_hook(
+                        original_prompt, response_text, start_time,
+                    )
+                reflection_response = await self._openai_client.async_client.beta.chat.completions.parse(
+                    model=self.reflect_llm if self.reflect_llm else self.llm,
+                    messages=reflection_messages,
+                    temperature=temperature,
+                    response_format=_get_display_functions()['ReflectionOutput'],
+                )
+                reflection_output = reflection_response.choices[0].message.parsed
+                if reflection_output.satisfactory == "yes" and reflection_count >= self.min_reflect - 1:
+                    break
+                if reflection_count >= self.max_reflect - 1:
+                    break
+                regenerate_messages = reflection_messages + [
+                    {
+                        "role": "assistant",
+                        "content": (
+                            f"Self Reflection: {reflection_output.reflection} "
+                            f"Satisfactory?: {reflection_output.satisfactory}"
+                        ),
+                    },
+                    {"role": "user", "content": "Now regenerate your response using the reflection you made"},
+                ]
+                new_response = await self._openai_client.async_client.chat.completions.create(
+                    model=self.llm,
+                    messages=regenerate_messages,
+                    temperature=temperature,
+                )
+                response_text = new_response.choices[0].message.content
+                reflection_count += 1
+            except Exception as e:
+                logging.error("Reflection parsing failed.", exc_info=True)
+                reflection_count += 1
+                if reflection_count >= self.max_reflect:
+                    break
+
+        try:
+            validated_response = self._apply_guardrail_with_retry(
+                response_text, original_prompt, temperature, tools,
+                task_name, task_description, task_id,
+            )
+            self._execute_callback_and_display(
+                original_prompt, validated_response, time.time() - start_time,
+                task_name, task_description, task_id,
+            )
+            return await self._atrigger_after_agent_hook(
+                original_prompt, validated_response, start_time,
+            )
+        except Exception as e:
+            logging.error(f"Agent {self.name}: Guardrail validation failed for OpenAI client: {e}")
+            self._truncate_chat_history(chat_history_length)
+            return None
+
     def _execute_callback_and_display(self, prompt: str, response: str, generation_time: float, task_name=None, task_description=None, task_id=None):
         """Helper method to execute callbacks and display interaction.
         
@@ -2042,8 +2187,22 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
                             task_id=task_id,
                             response_format=response_format
                         )
-                        # Continue to handle structured outputs and other processing
-                        # Don't return immediately - fall through to existing logic
+                        return await self._finalize_unified_achat_response(
+                            response=response,
+                            original_prompt=original_prompt,
+                            temperature=temperature,
+                            tools=tools,
+                            output_json=output_json,
+                            output_pydantic=output_pydantic,
+                            reasoning_steps=reasoning_steps,
+                            stream=stream,
+                            messages=messages,
+                            chat_history_length=chat_history_length,
+                            start_time=start_time,
+                            task_name=task_name,
+                            task_description=task_description,
+                            task_id=task_id,
+                        )
                     else:
                         # LEGACY: Check if OpenAI client is available
                         if self._openai_client is None:

src/praisonai-agents/praisonaiagents/allowed_tools_filter.py

@@ -0,0 +1,257 @@
+"""
+Tool whitelist filter module with diagnostics.
+
+This module provides a canonical implementation of the ALLOWED_TOOLS filter
+that prevents tool name collisions in multi-environment agent systems by 
+whitelisting only specified tools.
+
+The filter is designed to solve the "tool shadowing" problem where multiple
+modules register tools with overlapping or ambiguous names, causing agents
+to invoke the wrong implementation.
+
+Environment Variables:
+    ALLOWED_TOOLS: Primary variable (comma-separated tool names)
+    HERMES_ONLY_TOOLS: Backward compatibility alias for ALLOWED_TOOLS
+
+Usage:
+    from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+    
+    # Create filter from environment variable  
+    filter = AllowedToolsFilter()
+    
+    # Filter tools
+    available_tools = {"search", "send_message", "extract_pdf"}
+    filtered_tools = filter.filter_tools(available_tools)
+    
+    # Get diagnostics
+    filter.log_diagnostics()
+"""
+
+import os
+import logging
+from typing import Any, Dict, List, Optional, Set, Union
+
+logger = logging.getLogger(__name__)
+
+
+class AllowedToolsFilter:
+    """
+    Canonical tool whitelist filter with diagnostics and backward compatibility.
+    
+    This filter implements the semantics for tool filtering:
+    - ALLOWED_TOOLS unset (or HERMES_ONLY_TOOLS): all tools visible (with warning about collisions)
+    - ALLOWED_TOOLS empty string: error - must specify tools or unset
+    - ALLOWED_TOOLS with values: only whitelisted tools visible
+    - Unknown tools in list: warn and strip in dev, strict fail in CI
+    
+    Backward Compatibility:
+    - Supports both ALLOWED_TOOLS and HERMES_ONLY_TOOLS
+    - ALLOWED_TOOLS takes precedence if both are set
+    """
+    
+    def __init__(self, env_var_name: str = "ALLOWED_TOOLS"):
+        """
+        Initialize the filter with backward compatibility support.
+        
+        Args:
+            env_var_name: Primary environment variable name (default: "ALLOWED_TOOLS")
+        """
+        # Support both new (ALLOWED_TOOLS) and legacy (HERMES_ONLY_TOOLS) naming
+        self.primary_var = env_var_name
+        self.legacy_var = "HERMES_ONLY_TOOLS"
+        
+        # ALLOWED_TOOLS takes precedence over HERMES_ONLY_TOOLS for backward compatibility
+        self.env_value = os.environ.get(self.primary_var) or os.environ.get(self.legacy_var)
+        self.env_var_name = self.primary_var if os.environ.get(self.primary_var) else self.legacy_var
+        
+        self.is_ci = os.environ.get("CI", "").lower() in ("true", "1", "yes")
+        self._whitelist: Optional[Set[str]] = self._parse_whitelist()
+        self._diagnostics: Dict[str, Any] = {}
+        
+    def _parse_whitelist(self) -> Optional[Set[str]]:
+        """
+        Parse the environment variable value into a whitelist set.
+        
+        Returns:
+            None if unset, Set of tool names if set, raises ValueError for empty string
+        """
+        if self.env_value is None:
+            return None
+        
+        # Empty string is an error - must be explicit
+        if self.env_value.strip() == "":
+            raise ValueError(
+                f"{self.env_var_name} cannot be empty. Either unset it for all tools "
+                "or provide a comma-separated list of tool names."
+            )
+        
+        # Parse comma-separated values, strip whitespace
+        tools = {name.strip() for name in self.env_value.split(",") if name.strip()}
+        
+        if not tools:
+            raise ValueError(
+                f"{self.env_var_name} contains no valid tool names. "
+                "Provide comma-separated tool names or unset the variable."
+            )
+        
+        return tools
+    
+    def filter_tools(self, available_tools: Union[Set[str], List[str], Dict[str, Any]]) -> Set[str]:
+        """
+        Filter tools based on ALLOWED_TOOLS whitelist.
+        
+        Args:
+            available_tools: Available tools as set, list, or dict with tool names as keys
+            
+        Returns:
+            Filtered set of tool names
+            
+        Raises:
+            ValueError: If unknown tools in CI mode or configuration errors
+        """
+        # Convert input to set of tool names
+        if isinstance(available_tools, dict):
+            tool_names = set(available_tools.keys())
+        else:
+            tool_names = set(available_tools)
+        
+        # Store for diagnostics
+        self._diagnostics["registered_before_filter"] = sorted(tool_names)
+        
+        # If no whitelist, return all tools (with warning)
+        if self._whitelist is None:
+            logger.warning(
+                "Tool whitelist is unset. All %d tools are visible. "
+                "Consider using ALLOWED_TOOLS to prevent tool name collisions.",
+                len(tool_names)
+            )
+            self._diagnostics["registered_after_filter"] = sorted(tool_names)
+            self._diagnostics["dropped_tools"] = []
+            self._diagnostics["unknown_tools"] = []
+            return tool_names
+        
+        # Find intersection and unknown tools
+        available_whitelisted = tool_names.intersection(self._whitelist)
+        unknown_tools = self._whitelist.difference(tool_names)
+        dropped_tools = tool_names.difference(self._whitelist)
+        
+        # Store for diagnostics
+        self._diagnostics["registered_after_filter"] = sorted(available_whitelisted)
+        self._diagnostics["dropped_tools"] = sorted(dropped_tools)
+        self._diagnostics["unknown_tools"] = sorted(unknown_tools)
+        
+        # Handle unknown tools based on environment
+        if unknown_tools:
+            unknown_list = sorted(unknown_tools)
+            if self.is_ci:
+                raise ValueError(
+                    f"Unknown tools in {self.env_var_name}: {unknown_list}. "
+                    "All specified tools must be available in CI mode."
+                )
+            else:
+                logger.warning(
+                    "Unknown tools in %s will be ignored: %s",
+                    self.env_var_name,
+                    unknown_list
+                )
+        
+        if dropped_tools:
+            logger.info(
+                "Dropped %d tools not in %s whitelist: %s",
+                len(dropped_tools),
+                self.env_var_name,
+                sorted(dropped_tools)
+            )
+        
+        logger.info(
+            "%s filtered tools: %d available, %d after filter",
+            self.env_var_name,
+            len(tool_names),
+            len(available_whitelisted)
+        )
+        
+        return available_whitelisted
+    
+    def log_diagnostics(self) -> None:
+        """Log startup diagnostics section as specified in the issue."""
+        if not self._diagnostics:
+            logger.warning("No diagnostics available. Call filter_tools() first.")
+            return
+        
+        logger.info("=" * 50)
+        logger.info("ALLOWED_TOOLS FILTER DIAGNOSTICS")
+        logger.info("=" * 50)
+        logger.info("%s=%s", self.env_var_name, self.env_value or "<unset>")
+        logger.info("RegisteredBeforeFilter=%s", self._diagnostics.get("registered_before_filter", []))
+        logger.info("RegisteredAfterFilter=%s", self._diagnostics.get("registered_after_filter", []))
+        logger.info("DroppedTools=%s", self._diagnostics.get("dropped_tools", []))
+        logger.info("UnknownTools=%s", self._diagnostics.get("unknown_tools", []))
+        logger.info("IsCI=%s", self.is_ci)
+        logger.info("=" * 50)
+    
+    def get_diagnostics(self) -> Dict[str, Any]:
+        """
+        Get diagnostics data as a dictionary.
+        
+        Returns:
+            Dictionary with diagnostics information
+        """
+        return {
+            "env_var_name": self.env_var_name,
+            "env_value": self.env_value,
+            "is_ci": self.is_ci,
+            "whitelist": list(self._whitelist) if self._whitelist else None,
+            **self._diagnostics
+        }
+    
+    def is_enabled(self) -> bool:
+        """
+        Check if filtering is enabled.
+        
+        Returns:
+            True if tool whitelist is set and filtering is active
+        """
+        return self._whitelist is not None
+    
+    def get_whitelist(self) -> Optional[Set[str]]:
+        """
+        Get the current whitelist.
+        
+        Returns:
+            Set of whitelisted tool names, or None if not set
+        """
+        return self._whitelist.copy() if self._whitelist else None
+
+
+def filter_tools_with_allowed_tools(
+    available_tools: Union[Set[str], List[str], Dict[str, Any]],
+    env_var_name: str = "ALLOWED_TOOLS",
+    log_diagnostics: bool = True
+) -> Set[str]:
+    """
+    Convenience function to filter tools with ALLOWED_TOOLS.
+    
+    Args:
+        available_tools: Available tools to filter
+        env_var_name: Environment variable name (default: "ALLOWED_TOOLS")
+        log_diagnostics: Whether to log diagnostics (default: True)
+        
+    Returns:
+        Filtered set of tool names
+    """
+    filter_instance = AllowedToolsFilter(env_var_name)
+    filtered = filter_instance.filter_tools(available_tools)
+    
+    if log_diagnostics:
+        filter_instance.log_diagnostics()
+    
+    return filtered
+
+
+# Backward compatibility aliases
+filter_tools_with_hermes = filter_tools_with_allowed_tools
+hermes_filter = filter_tools_with_allowed_tools
+apply_hermes_filter = filter_tools_with_allowed_tools
+
+# Legacy class alias for backward compatibility
+HermesToolFilter = AllowedToolsFilter

src/praisonai-agents/praisonaiagents/config/feature_configs.py

@@ -42,6 +42,7 @@ class MemoryBackend(str, Enum):
     FILE = "file"
     SQLITE = "sqlite"
     REDIS = "redis"
+    VALKEY = "valkey"
     POSTGRES = "postgres"
     MEM0 = "mem0"
     MONGODB = "mongodb"

src/praisonai-agents/praisonaiagents/storage/backends.py

@@ -346,13 +346,15 @@ class _LazyStorageModule:
     
     _BACKENDS = {
         "RedisBackend": "praisonai.storage",
-        "MongoDBBackend": "praisonai.storage", 
+        "MongoDBBackend": "praisonai.storage",
         "PostgreSQLBackend": "praisonai.storage",
         "DynamoDBBackend": "praisonai.storage",
+        "ValkeyBackend": "praisonai.storage",
+        "ValkeySearchBackend": "praisonai.storage",
         # Legacy names for compatibility
         "RedisStorageAdapter": "praisonai.storage",
         "MongoDBStorageAdapter": "praisonai.storage",
-        "PostgreSQLStorageAdapter": "praisonai.storage", 
+        "PostgreSQLStorageAdapter": "praisonai.storage",
         "DynamoDBStorageAdapter": "praisonai.storage",
     }
     
@@ -390,7 +392,7 @@ def get_backend(
     Factory function to get a storage backend.
     
     Args:
-        backend_type: Type of backend ("file", "sqlite", "redis", "mongodb", "postgresql", "dynamodb")
+        backend_type: Type of backend ("file", "sqlite", "redis", "mongodb", "postgresql", "dynamodb", "valkey")
         **kwargs: Backend-specific arguments
         
     Returns:
@@ -431,9 +433,13 @@ def get_backend(
         # Lazy load from wrapper
         backend_class = getattr(_heavy_backends, "DynamoDBBackend")
         return backend_class(**kwargs)
+    elif backend_type == "valkey":
+        # Lazy load from wrapper
+        backend_class = getattr(_heavy_backends, "ValkeyBackend")
+        return backend_class(**kwargs)
     else:
         raise ValueError(f"Unknown backend type: {backend_type}. "
-                        f"Supported: file, sqlite, redis, mongodb, postgresql, dynamodb")
+                        f"Supported: file, sqlite, redis, mongodb, postgresql, dynamodb, valkey")
 
 def __getattr__(name: str):
     """
@@ -442,7 +448,8 @@ def __getattr__(name: str):
     This allows `from praisonaiagents.storage.backends import RedisBackend` to work
     while maintaining lazy loading.
     """
-    if name in {"RedisBackend", "MongoDBBackend", "PostgreSQLBackend", "DynamoDBBackend"}:
+    if name in {"RedisBackend", "MongoDBBackend", "PostgreSQLBackend", "DynamoDBBackend",
+                "ValkeyBackend", "ValkeySearchBackend"}:
         return getattr(_heavy_backends, name)
     raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
 

src/praisonai-agents/praisonaiagents/tools/__init__.py

@@ -10,7 +10,7 @@ _tools_lazy_cache = {}
 # Export core tool items for organized imports (lightweight)
 from .base import BaseTool, ToolResult, ToolValidationError, validate_tool
 from .decorator import tool, FunctionTool
-from .registry import get_registry, register_tool, get_tool, add_tool, has_tool, remove_tool, list_tools, list_available_tools, ToolRegistry
+from .registry import get_registry, register_tool, get_tool, add_tool, has_tool, remove_tool, list_tools, list_available_tools, list_tools_with_allowed_filter, list_tools_with_hermes_filter, ToolRegistry
 from .tools import Tools
 
 # Export Injected type directly for easy access
@@ -363,7 +363,7 @@ __all__ = list(TOOL_MAPPINGS.keys()) + [
     'BaseTool', 'ToolResult', 'ToolValidationError', 'validate_tool',
     'tool', 'FunctionTool',
     'get_registry', 'register_tool', 'get_tool', 'add_tool', 'has_tool', 'remove_tool', 
-    'list_tools', 'list_available_tools', 'ToolRegistry',
+    'list_tools', 'list_available_tools', 'list_tools_with_allowed_filter', 'list_tools_with_hermes_filter', 'ToolRegistry',
     'Tools',
     # Validation and retry protocols
     'ValidationResult', 'ToolValidatorProtocol', 'AsyncToolValidatorProtocol', 'PassthroughValidator',

src/praisonai-agents/praisonaiagents/tools/a2ui_tools.py

@@ -0,0 +1,52 @@
+"""
+A2UI tools — optional declarative UI via Google's a2ui-agent-sdk.
+
+Usage:
+    from praisonaiagents import Agent
+    from praisonaiagents.tools.a2ui_tools import send_a2ui_messages
+
+    agent = Agent(name="assistant", tools=[send_a2ui_messages])
+"""
+
+from __future__ import annotations
+
+import json
+from typing import Any, Dict, List, Union
+
+from praisonaiagents.tools.decorator import tool
+
+
+@tool
+def send_a2ui_messages(messages: Union[List[Dict[str, Any]], str]) -> Dict[str, Any]:
+    """
+    Send validated A2UI JSON messages to a connected A2UI renderer client.
+
+    Pass a list of A2UI message dicts (createSurface, updateComponents, etc.)
+    or a JSON string. Requires: pip install praisonaiagents[a2ui]
+
+    Args:
+        messages: A2UI message list or JSON string from the model.
+
+    Returns:
+        Dict with mime_type and serialised messages for A2A/AG-UI clients.
+    """
+    from praisonaiagents.ui.a2ui.adapter import create_a2ui_part
+
+    if isinstance(messages, str):
+        try:
+            messages = json.loads(messages)
+        except json.JSONDecodeError as exc:
+            raise ValueError(f"messages JSON string is not valid JSON: {exc}") from exc
+
+    if not isinstance(messages, list):
+        raise ValueError("messages must be a list of A2UI message dicts or a JSON string")
+
+    part = create_a2ui_part({"messages": messages})
+    data = getattr(getattr(part, "root", part), "data", messages)
+    metadata = getattr(getattr(part, "root", part), "metadata", {}) or {}
+
+    return {
+        "mime_type": metadata.get("mimeType", "application/json+a2ui"),
+        "messages": messages,
+        "a2ui_part": data,
+    }

src/praisonai-agents/praisonaiagents/tools/registry.py

@@ -184,6 +184,41 @@ class ToolRegistry:
             
             return available
     
+    def list_tools_with_allowed_filter(self, context: Optional[Dict[str, Any]] = None) -> List[str]:
+        """List tool names filtered by ALLOWED_TOOLS environment variable.
+        
+        This applies the canonical ALLOWED_TOOLS filter to prevent tool
+        name collisions in multi-environment agent systems.
+        
+        Args:
+            context: Optional context for availability checks
+            
+        Returns:
+            List of filtered tool names
+        """
+        try:
+            # Lazy import to avoid circular dependencies
+            from ..allowed_tools_filter import filter_tools_with_allowed_tools
+            
+            # Get all available tool names
+            all_tools = self.list_tools()
+            
+            # Apply ALLOWED_TOOLS filter with diagnostics
+            filtered_tools = filter_tools_with_allowed_tools(all_tools, log_diagnostics=True)
+            
+            return sorted(filtered_tools)
+            
+        except ImportError:
+            logging.warning("ALLOWED_TOOLS filter not available, returning all tools")
+            return self.list_tools()
+        except ValueError:
+            # Preserve strict ALLOWED_TOOLS semantics (e.g., CI unknown tools, empty value)
+            raise
+        except Exception as e:
+            logging.error("Error applying ALLOWED_TOOLS filter: %s", e)
+            # Fallback to all tools on error
+            return self.list_tools()
+    
     def get_all(self) -> Dict[str, Union[BaseTool, Callable]]:
         """Get all registered tools as a dict. Thread-safe."""
         with self._lock:
@@ -381,3 +416,24 @@ def list_available_tools(context: Optional[Dict[str, Any]] = None) -> List[Union
         List of available tools
     """
     return get_registry().list_available_tools(context)
+
+
+def list_tools_with_allowed_filter(context: Optional[Dict[str, Any]] = None) -> List[str]:
+    """List tool names filtered by ALLOWED_TOOLS from the global registry.
+    
+    This is the canonical entry point for applying ALLOWED_TOOLS filtering
+    across the PraisonAI ecosystem.
+    
+    Args:
+        context: Optional context for availability checks
+        
+    Returns:
+        List of filtered tool names
+    """
+    return get_registry().list_tools_with_allowed_filter(context)
+
+
+# Backward compatibility alias
+def list_tools_with_hermes_filter(context: Optional[Dict[str, Any]] = None) -> List[str]:
+    """Backward compatibility alias for list_tools_with_allowed_filter."""
+    return list_tools_with_allowed_filter(context)

src/praisonai-agents/praisonaiagents/ui/a2ui/__init__.py

@@ -1,126 +1,41 @@
 """
-A2UI (Agent-to-User Interface) Protocol Integration for PraisonAI Agents
+A2UI integration via Google's a2ui-agent-sdk (optional).
 
-This module provides A2UI protocol support, enabling PraisonAI Agents
-to generate rich, interactive UIs declaratively via JSON.
-
-A2UI is Google's open standard that allows agents to "speak UI" by sending
-declarative JSON describing UI components, which clients then render natively.
-
-Usage:
-    from praisonaiagents.ui.a2ui import (
-        # Message types
-        CreateSurfaceMessage,
-        UpdateComponentsMessage,
-        UpdateDataModelMessage,
-        DeleteSurfaceMessage,
-        # Component types
-        TextComponent,
-        ImageComponent,
-        ButtonComponent,
-        CardComponent,
-        RowComponent,
-        ColumnComponent,
-        # Extension helpers
-        create_a2ui_part,
-        is_a2ui_part,
-    )
+Declarative agent UI uses the official SDK — not reimplemented in PraisonAI core.
+Install: pip install praisonaiagents[a2ui]
 """
 
-from praisonaiagents.ui.a2ui.types import (
-    # Data binding
-    PathBinding,
-    resolve_string_or_path,
-    # Action types
-    ActionContext,
-    Action,
-    # Children types
-    ChildrenTemplate,
-    # Component types
-    TextComponent,
-    ImageComponent,
-    IconComponent,
-    ButtonComponent,
-    CardComponent,
-    RowComponent,
-    ColumnComponent,
-    ListComponent,
-    TextFieldComponent,
-    CheckBoxComponent,
-    SliderComponent,
-    DateTimeInputComponent,
-    # Message types
-    CreateSurfaceMessage,
-    UpdateComponentsMessage,
-    UpdateDataModelMessage,
-    DeleteSurfaceMessage,
-    # Data part
-    A2UIDataPart,
-)
-
-from praisonaiagents.ui.a2ui.extension import (
-    A2UI_MIME_TYPE,
-    A2UI_EXTENSION_URI,
-    STANDARD_CATALOG_ID,
+from praisonaiagents.ui.a2ui.adapter import (
     create_a2ui_part,
+    generate_a2ui_system_prompt,
+    get_schema_manager,
     is_a2ui_part,
-    get_a2ui_agent_extension,
-    AgentExtension,
-)
-
-from praisonaiagents.ui.a2ui.surface import Surface
-from praisonaiagents.ui.a2ui.agent import A2UIAgent
-from praisonaiagents.ui.a2ui.templates import (
-    ChatTemplate,
-    ListTemplate,
-    FormTemplate,
-    DashboardTemplate,
+    parse_a2ui_response,
 )
 
 __all__ = [
-    # Data binding
-    "PathBinding",
-    "resolve_string_or_path",
-    # Action types
-    "ActionContext",
-    "Action",
-    # Children types
-    "ChildrenTemplate",
-    # Component types
-    "TextComponent",
-    "ImageComponent",
-    "IconComponent",
-    "ButtonComponent",
-    "CardComponent",
-    "RowComponent",
-    "ColumnComponent",
-    "ListComponent",
-    "TextFieldComponent",
-    "CheckBoxComponent",
-    "SliderComponent",
-    "DateTimeInputComponent",
-    # Message types
-    "CreateSurfaceMessage",
-    "UpdateComponentsMessage",
-    "UpdateDataModelMessage",
-    "DeleteSurfaceMessage",
-    # Data part
-    "A2UIDataPart",
-    # Extension
-    "A2UI_MIME_TYPE",
-    "A2UI_EXTENSION_URI",
-    "STANDARD_CATALOG_ID",
+    "A2UI",
     "create_a2ui_part",
+    "generate_a2ui_system_prompt",
+    "get_schema_manager",
     "is_a2ui_part",
-    "get_a2ui_agent_extension",
-    "AgentExtension",
-    # Surface builder
-    "Surface",
-    # Agent wrapper
-    "A2UIAgent",
-    # Templates
-    "ChatTemplate",
-    "ListTemplate",
-    "FormTemplate",
-    "DashboardTemplate",
+    "parse_a2ui_response",
 ]
+
+
+class A2UI:
+    """
+    Optional A2UI facade (lazy — imports a2ui-agent-sdk on first use).
+
+    Example:
+        from praisonaiagents.ui import A2UI
+
+        part = A2UI.create_part({"createSurface": {...}})
+        prompt = A2UI.system_prompt("You are a helpful assistant.")
+    """
+
+    create_part = staticmethod(create_a2ui_part)
+    is_part = staticmethod(is_a2ui_part)
+    parse_response = staticmethod(parse_a2ui_response)
+    schema_manager = staticmethod(get_schema_manager)
+    system_prompt = staticmethod(generate_a2ui_system_prompt)

src/praisonai-agents/praisonaiagents/ui/a2ui/adapter.py

@@ -0,0 +1,89 @@
+"""
+Thin adapter over Google's a2ui-agent-sdk (optional dependency).
+
+Install: pip install praisonaiagents[a2ui]
+Spec: https://github.com/google/A2UI
+"""
+
+from __future__ import annotations
+
+from typing import Any, Dict, List, Optional
+
+
+_A2UI_INSTALL_HINT = (
+    "A2UI support requires the optional dependency. "
+    "Install with: pip install praisonaiagents[a2ui]"
+)
+
+
+def _import(name: str):
+    try:
+        import importlib
+
+        return importlib.import_module(name)
+    except ImportError as exc:
+        raise ImportError(
+            f"{_A2UI_INSTALL_HINT} "
+            f"(failed to import '{name}'; "
+            "if already installed, ensure a2a-sdk>=0.3.0,<1.0.0 and not a2a-sdk 1.x)"
+        ) from exc
+
+
+def create_a2ui_part(a2ui_data: Dict[str, Any]) -> Any:
+    """Wrap A2UI payload for A2A transport (MIME: application/json+a2ui)."""
+    parts = _import("a2ui.a2a.parts")
+    return parts.create_a2ui_part(a2ui_data)
+
+
+def is_a2ui_part(part: Any) -> bool:
+    """Return True if an A2A part contains A2UI data."""
+    parts = _import("a2ui.a2a.parts")
+    return parts.is_a2ui_part(part)
+
+
+def parse_a2ui_response(text: str) -> List[Any]:
+    """Parse and split LLM text into A2A parts (text + validated A2UI JSON)."""
+    parser = _import("a2ui.parser.parser")
+    return parser.parse_response(text)
+
+
+def get_schema_manager(
+    version: str = "0.9",
+    catalogs: Optional[List[Any]] = None,
+    accepts_inline_catalogs: bool = False,
+) -> Any:
+    """Create an A2uiSchemaManager for LLM system prompts and validation."""
+    constants = _import("a2ui.schema.constants")
+    manager = _import("a2ui.schema.manager")
+    basic = _import("a2ui.basic_catalog.provider")
+
+    version_const = constants.VERSION_0_9 if version == "0.9" else version
+    catalog_configs = catalogs
+    if catalog_configs is None:
+        catalog_configs = [basic.BasicCatalog.get_config(version=version_const)]
+
+    return manager.A2uiSchemaManager(
+        version=version_const,
+        catalogs=catalog_configs,
+        accepts_inline_catalogs=accepts_inline_catalogs,
+    )
+
+
+def generate_a2ui_system_prompt(
+    role_description: str,
+    workflow_description: str = "",
+    ui_description: str = "",
+    *,
+    version: str = "0.9",
+    include_schema: bool = True,
+    include_examples: bool = True,
+) -> str:
+    """Build an LLM system prompt with embedded A2UI schema and examples."""
+    schema_manager = get_schema_manager(version=version)
+    return schema_manager.generate_system_prompt(
+        role_description=role_description,
+        workflow_description=workflow_description,
+        ui_description=ui_description,
+        include_schema=include_schema,
+        include_examples=include_examples,
+    )

src/praisonai-agents/praisonaiagents/ui/a2ui/agent.py

@@ -1,358 +0,0 @@
-"""
-A2UI Agent Integration
-
-Provides A2UIAgent wrapper for generating A2UI responses from PraisonAI agents.
-"""
-
-import uuid
-from typing import Any, Dict, List, Optional, TYPE_CHECKING
-
-from praisonaiagents.ui.a2ui.surface import Surface
-from praisonaiagents.ui.a2ui.types import (
-    PathBinding,
-    A2UIDataPart,
-)
-from praisonaiagents.ui.a2ui.extension import (
-    create_a2ui_part,
-    STANDARD_CATALOG_ID,
-)
-
-if TYPE_CHECKING:
-    from praisonaiagents import Agent
-
-
-class A2UIAgent:
-    """
-    A2UI wrapper for PraisonAI agents.
-    
-    Provides methods to generate A2UI responses from agent interactions.
-    
-    Example:
-        >>> from praisonaiagents import Agent
-        >>> from praisonaiagents.ui.a2ui import A2UIAgent
-        >>> 
-        >>> agent = Agent(name="Assistant", role="Helper", goal="Help users")
-        >>> a2ui_agent = A2UIAgent(agent=agent)
-        >>> 
-        >>> # Render a simple text response
-        >>> messages = a2ui_agent.render_text("Hello, World!")
-        >>> 
-        >>> # Render a list of items
-        >>> messages = a2ui_agent.render_list(
-        ...     title="Results",
-        ...     items=[{"name": "Item 1"}, {"name": "Item 2"}]
-        ... )
-    """
-    
-    def __init__(
-        self,
-        agent: "Agent",
-        surface_id: Optional[str] = None,
-        catalog_id: str = STANDARD_CATALOG_ID,
-    ):
-        """
-        Initialize A2UIAgent wrapper.
-        
-        Args:
-            agent: The PraisonAI Agent to wrap
-            surface_id: Unique ID for the UI surface (auto-generated if not provided)
-            catalog_id: The component catalog to use
-        """
-        self.agent = agent
-        self.surface_id = surface_id or f"surface-{uuid.uuid4().hex[:8]}"
-        self.catalog_id = catalog_id
-        self._surface: Optional[Surface] = None
-    
-    def get_surface(self) -> Surface:
-        """
-        Get the underlying Surface object.
-        
-        Creates a new Surface if one doesn't exist.
-        
-        Returns:
-            The Surface object
-        """
-        if self._surface is None:
-            self._surface = Surface(
-                surface_id=self.surface_id,
-                catalog_id=self.catalog_id,
-            )
-        return self._surface
-    
-    def _reset_surface(self) -> Surface:
-        """Reset and return a new Surface."""
-        self._surface = Surface(
-            surface_id=self.surface_id,
-            catalog_id=self.catalog_id,
-        )
-        return self._surface
-    
-    # =========================================================================
-    # Rendering methods
-    # =========================================================================
-    
-    def render_text(
-        self,
-        text: str,
-        title: Optional[str] = None,
-        usage_hint: str = "body",
-    ) -> List[Dict[str, Any]]:
-        """
-        Render a simple text response as A2UI.
-        
-        Args:
-            text: The text content to display
-            title: Optional title heading
-            usage_hint: Text style hint (h1, h2, body, caption)
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = self._reset_surface()
-        
-        children = []
-        
-        if title:
-            surface.text(id="title", text=title, usage_hint="h1")
-            children.append("title")
-        
-        surface.text(id="content", text=text, usage_hint=usage_hint)
-        children.append("content")
-        
-        # Add root column
-        surface.column(id="root", children=children)
-        
-        return surface.to_messages()
-    
-    def render_list(
-        self,
-        title: str,
-        items: List[Dict[str, Any]],
-        item_title_key: str = "title",
-        item_description_key: str = "description",
-        item_image_key: Optional[str] = None,
-        item_action: Optional[str] = None,
-    ) -> List[Dict[str, Any]]:
-        """
-        Render a list of items as A2UI cards.
-        
-        Args:
-            title: List title
-            items: List of item dictionaries
-            item_title_key: Key for item title in each dict
-            item_description_key: Key for item description
-            item_image_key: Optional key for item image URL
-            item_action: Optional action name for item buttons
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = self._reset_surface()
-        
-        # Title
-        surface.text(id="list-title", text=title, usage_hint="h1")
-        
-        # Create card for each item
-        card_ids = []
-        for i, item in enumerate(items):
-            card_id = f"card-{i}"
-            content_id = f"card-content-{i}"
-            title_id = f"item-title-{i}"
-            desc_id = f"item-desc-{i}"
-            
-            # Item title
-            surface.text(
-                id=title_id,
-                text=item.get(item_title_key, f"Item {i+1}"),
-                usage_hint="h3"
-            )
-            
-            # Item description
-            surface.text(
-                id=desc_id,
-                text=item.get(item_description_key, ""),
-                usage_hint="body"
-            )
-            
-            content_children = [title_id, desc_id]
-            
-            # Optional action button
-            if item_action:
-                btn_id = f"btn-{i}"
-                btn_text_id = f"btn-text-{i}"
-                surface.text(id=btn_text_id, text="Select")
-                surface.button(
-                    id=btn_id,
-                    child=btn_text_id,
-                    action_name=item_action,
-                    action_context=[{"key": "index", "value": i}],
-                    primary=True
-                )
-                content_children.append(btn_id)
-            
-            # Card content column
-            surface.column(id=content_id, children=content_children)
-            
-            # Card
-            surface.card(id=card_id, child=content_id)
-            card_ids.append(card_id)
-        
-        # List column
-        surface.column(id="item-list", children=card_ids)
-        
-        # Root column
-        surface.column(id="root", children=["list-title", "item-list"])
-        
-        # Set data
-        surface.set_data("items", items)
-        
-        return surface.to_messages()
-    
-    def render_form(
-        self,
-        title: str,
-        fields: List[Dict[str, str]],
-        submit_action: str = "submit",
-        submit_label: str = "Submit",
-    ) -> List[Dict[str, Any]]:
-        """
-        Render a form as A2UI.
-        
-        Args:
-            title: Form title
-            fields: List of field definitions with id, label, type
-            submit_action: Action name for submit button
-            submit_label: Label for submit button
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = self._reset_surface()
-        
-        # Title
-        surface.text(id="form-title", text=title, usage_hint="h1")
-        
-        # Fields
-        field_ids = []
-        form_data = {}
-        
-        for field in fields:
-            field_id = field.get("id", f"field-{len(field_ids)}")
-            label = field.get("label", field_id)
-            field_type = field.get("type", "text")
-            
-            surface.text_field(
-                id=field_id,
-                label=label,
-                text=PathBinding(path=f"/{field_id}"),
-                field_type=field_type,
-            )
-            field_ids.append(field_id)
-            form_data[field_id] = field.get("default", "")
-        
-        # Submit button
-        surface.text(id="submit-text", text=submit_label)
-        
-        # Build action context from fields
-        action_context = [
-            {"key": f["id"], "value": {"path": f"/{f['id']}"}}
-            for f in fields
-        ]
-        
-        surface.button(
-            id="submit-btn",
-            child="submit-text",
-            action_name=submit_action,
-            action_context=action_context,
-            primary=True,
-        )
-        field_ids.append("submit-btn")
-        
-        # Form column
-        surface.column(id="form-fields", children=field_ids)
-        
-        # Root column
-        surface.column(id="root", children=["form-title", "form-fields"])
-        
-        # Set initial form data
-        for key, value in form_data.items():
-            surface.set_data(key, value)
-        
-        return surface.to_messages()
-    
-    # =========================================================================
-    # Agent interaction methods
-    # =========================================================================
-    
-    async def chat_async(self, message: str) -> str:
-        """
-        Send a message to the agent and get a response.
-        
-        Args:
-            message: The message to send
-        
-        Returns:
-            The agent's response text
-        """
-        # Use the agent's chat method
-        if hasattr(self.agent, 'chat'):
-            response = self.agent.chat(message)
-            return response
-        elif hasattr(self.agent, 'run'):
-            response = self.agent.run(message)
-            return response
-        else:
-            raise NotImplementedError("Agent does not have chat or run method")
-    
-    def chat(self, message: str) -> str:
-        """
-        Send a message to the agent and get a response (sync).
-        
-        Args:
-            message: The message to send
-        
-        Returns:
-            The agent's response text
-        """
-        if hasattr(self.agent, 'chat'):
-            return self.agent.chat(message)
-        elif hasattr(self.agent, 'run'):
-            return self.agent.run(message)
-        else:
-            raise NotImplementedError("Agent does not have chat or run method")
-    
-    # =========================================================================
-    # Export methods
-    # =========================================================================
-    
-    def to_messages(self) -> List[Dict[str, Any]]:
-        """
-        Get the current surface as A2UI messages.
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        return self.get_surface().to_messages()
-    
-    def to_json(self, indent: Optional[int] = None) -> str:
-        """
-        Get the current surface as JSON string.
-        
-        Args:
-            indent: JSON indentation level
-        
-        Returns:
-            JSON string of A2UI messages
-        """
-        return self.get_surface().to_json(indent=indent)
-    
-    def to_a2a_part(self) -> A2UIDataPart:
-        """
-        Get the current surface as an A2A DataPart.
-        
-        Returns:
-            A2UIDataPart with A2UI MIME type
-        """
-        messages = self.to_messages()
-        # For A2A, we send messages as a list
-        return create_a2ui_part({"messages": messages})

src/praisonai-agents/praisonaiagents/ui/a2ui/extension.py

@@ -1,115 +0,0 @@
-"""
-A2UI Extension for A2A Protocol
-
-Provides helpers for integrating A2UI with the A2A (Agent-to-Agent) protocol.
-"""
-
-from dataclasses import dataclass
-from typing import Any, Dict, Optional
-
-from praisonaiagents.ui.a2ui.types import A2UIDataPart
-
-
-# =============================================================================
-# Constants
-# =============================================================================
-
-A2UI_EXTENSION_URI = "https://a2ui.org/a2a-extension/a2ui/v0.9"
-A2UI_MIME_TYPE = "application/json+a2ui"
-STANDARD_CATALOG_ID = "https://raw.githubusercontent.com/google/A2UI/refs/heads/main/specification/0.9/json/standard_catalog_definition.json"
-
-
-# =============================================================================
-# Agent Extension Type
-# =============================================================================
-
-@dataclass
-class AgentExtension:
-    """
-    A2A Agent Extension configuration.
-    
-    Describes an extension that an agent supports.
-    """
-    uri: str
-    description: str = ""
-    params: Optional[Dict[str, Any]] = None
-
-
-# =============================================================================
-# Helper Functions
-# =============================================================================
-
-def create_a2ui_part(a2ui_data: Dict[str, Any]) -> A2UIDataPart:
-    """
-    Create an A2UI data part for A2A integration.
-    
-    Wraps A2UI data in an A2UIDataPart with the appropriate MIME type.
-    
-    Args:
-        a2ui_data: The A2UI data dictionary (e.g., createSurface, updateComponents)
-    
-    Returns:
-        An A2UIDataPart with the A2UI MIME type in metadata
-    
-    Example:
-        >>> part = create_a2ui_part({"createSurface": {"surfaceId": "main", "catalogId": "..."}})
-        >>> part.metadata["mimeType"]
-        'application/json+a2ui'
-    """
-    return A2UIDataPart(
-        data=a2ui_data,
-        metadata={"mimeType": A2UI_MIME_TYPE}
-    )
-
-
-def is_a2ui_part(part: A2UIDataPart) -> bool:
-    """
-    Check if a data part contains A2UI data.
-    
-    Args:
-        part: The data part to check
-    
-    Returns:
-        True if the part contains A2UI data (has A2UI MIME type), False otherwise
-    
-    Example:
-        >>> part = create_a2ui_part({"createSurface": {...}})
-        >>> is_a2ui_part(part)
-        True
-    """
-    if not isinstance(part, A2UIDataPart):
-        return False
-    if part.metadata is None:
-        return False
-    return part.metadata.get("mimeType") == A2UI_MIME_TYPE
-
-
-def get_a2ui_agent_extension(
-    accepts_inline_custom_catalog: bool = False,
-) -> AgentExtension:
-    """
-    Create the A2UI AgentExtension configuration.
-    
-    Returns an AgentExtension that can be added to an A2A Agent Card
-    to indicate A2UI support.
-    
-    Args:
-        accepts_inline_custom_catalog: Whether the agent accepts inline custom catalogs
-    
-    Returns:
-        The configured A2UI AgentExtension
-    
-    Example:
-        >>> ext = get_a2ui_agent_extension()
-        >>> ext.uri
-        'https://a2ui.org/a2a-extension/a2ui/v0.9'
-    """
-    params: Optional[Dict[str, Any]] = None
-    if accepts_inline_custom_catalog:
-        params = {"acceptsInlineCustomCatalog": True}
-    
-    return AgentExtension(
-        uri=A2UI_EXTENSION_URI,
-        description="Provides agent-driven UI using the A2UI JSON format.",
-        params=params
-    )

src/praisonai-agents/praisonaiagents/ui/a2ui/surface.py

@@ -1,364 +0,0 @@
-"""
-A2UI Surface Builder
-
-Provides a fluent API for building A2UI surfaces with components and data.
-"""
-
-import json
-from typing import Any, Dict, List, Optional
-
-from praisonaiagents.ui.a2ui.extension import STANDARD_CATALOG_ID
-from praisonaiagents.ui.a2ui.types import (
-    Component,
-    TextComponent,
-    ImageComponent,
-    ButtonComponent,
-    CardComponent,
-    RowComponent,
-    ColumnComponent,
-    ListComponent,
-    TextFieldComponent,
-    Action,
-    ActionContext,
-    PathBinding,
-    CreateSurfaceMessage,
-    UpdateComponentsMessage,
-    UpdateDataModelMessage,
-    StringOrPath,
-    ChildrenType,
-)
-
-
-class Surface:
-    """
-    A2UI Surface builder for creating rich agent-generated UIs.
-    
-    Provides a fluent API for adding components and data, then
-    generating the A2UI JSON messages.
-    
-    Example:
-        >>> surface = Surface(surface_id="main")
-        >>> surface.text(id="title", text="Hello World", usage_hint="h1")
-        >>> surface.button(id="submit", child="submit-text", action_name="submit")
-        >>> surface.set_data("title", "Hello World")
-        >>> messages = surface.to_messages()
-    """
-    
-    def __init__(
-        self,
-        surface_id: str,
-        catalog_id: str = STANDARD_CATALOG_ID,
-    ):
-        """
-        Initialize a new Surface.
-        
-        Args:
-            surface_id: Unique identifier for this surface
-            catalog_id: The component catalog to use (defaults to standard catalog)
-        """
-        self.surface_id = surface_id
-        self.catalog_id = catalog_id
-        self.components: List[Component] = []
-        self.data: Dict[str, Any] = {}
-    
-    def add(self, component: Component) -> "Surface":
-        """
-        Add a component to the surface.
-        
-        Args:
-            component: The component to add
-        
-        Returns:
-            self for method chaining
-        """
-        self.components.append(component)
-        return self
-    
-    def set_data(self, key: str, value: Any) -> "Surface":
-        """
-        Set a value in the data model.
-        
-        Args:
-            key: The key in the data model
-            value: The value to set
-        
-        Returns:
-            self for method chaining
-        """
-        self.data[key] = value
-        return self
-    
-    # =========================================================================
-    # Helper methods for common components
-    # =========================================================================
-    
-    def text(
-        self,
-        id: str,
-        text: StringOrPath,
-        usage_hint: Optional[str] = None,
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a Text component.
-        
-        Args:
-            id: Component ID
-            text: Text content or path binding
-            usage_hint: Style hint (h1, h2, h3, body, caption)
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(TextComponent(
-            id=id,
-            text=text,
-            usage_hint=usage_hint,
-            weight=weight,
-        ))
-    
-    def image(
-        self,
-        id: str,
-        url: StringOrPath,
-        fit: Optional[str] = None,
-        usage_hint: Optional[str] = None,
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add an Image component.
-        
-        Args:
-            id: Component ID
-            url: Image URL or path binding
-            fit: Image fit (contain, cover, fill, none, scale-down)
-            usage_hint: Size hint (icon, avatar, smallFeature, etc.)
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(ImageComponent(
-            id=id,
-            url=url,
-            fit=fit,
-            usage_hint=usage_hint,
-            weight=weight,
-        ))
-    
-    def button(
-        self,
-        id: str,
-        child: str,
-        action_name: Optional[str] = None,
-        action_context: Optional[List[Dict[str, Any]]] = None,
-        primary: bool = False,
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a Button component.
-        
-        Args:
-            id: Component ID
-            child: Child component ID (usually a Text component)
-            action_name: Name of the action to trigger
-            action_context: List of {key, value} dicts for action context
-            primary: Whether this is a primary button
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        action = None
-        if action_name:
-            context = []
-            if action_context:
-                for ctx in action_context:
-                    value = ctx.get("value")
-                    if isinstance(value, dict) and "path" in value:
-                        value = PathBinding(path=value["path"])
-                    context.append(ActionContext(key=ctx["key"], value=value))
-            action = Action(name=action_name, context=context)
-        
-        return self.add(ButtonComponent(
-            id=id,
-            child=child,
-            action=action,
-            primary=primary,
-            weight=weight,
-        ))
-    
-    def card(
-        self,
-        id: str,
-        child: str,
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a Card component.
-        
-        Args:
-            id: Component ID
-            child: Child component ID
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(CardComponent(
-            id=id,
-            child=child,
-            weight=weight,
-        ))
-    
-    def row(
-        self,
-        id: str,
-        children: ChildrenType,
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a Row (horizontal layout) component.
-        
-        Args:
-            id: Component ID
-            children: List of child IDs or ChildrenTemplate
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(RowComponent(
-            id=id,
-            children=children,
-            weight=weight,
-        ))
-    
-    def column(
-        self,
-        id: str,
-        children: ChildrenType,
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a Column (vertical layout) component.
-        
-        Args:
-            id: Component ID
-            children: List of child IDs or ChildrenTemplate
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(ColumnComponent(
-            id=id,
-            children=children,
-            weight=weight,
-        ))
-    
-    def list(
-        self,
-        id: str,
-        children: ChildrenType,
-        direction: str = "vertical",
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a List component.
-        
-        Args:
-            id: Component ID
-            children: List of child IDs or ChildrenTemplate for dynamic lists
-            direction: "vertical" or "horizontal"
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(ListComponent(
-            id=id,
-            children=children,
-            direction=direction,
-            weight=weight,
-        ))
-    
-    def text_field(
-        self,
-        id: str,
-        label: StringOrPath,
-        text: StringOrPath,
-        field_type: str = "text",
-        weight: Optional[float] = None,
-    ) -> "Surface":
-        """
-        Add a TextField input component.
-        
-        Args:
-            id: Component ID
-            label: Field label
-            text: Text value or path binding
-            field_type: Input type (text, number, email, etc.)
-            weight: Flex weight
-        
-        Returns:
-            self for method chaining
-        """
-        return self.add(TextFieldComponent(
-            id=id,
-            label=label,
-            text=text,
-            field_type=field_type,
-            weight=weight,
-        ))
-    
-    # =========================================================================
-    # Message generation
-    # =========================================================================
-    
-    def to_messages(self) -> List[Dict[str, Any]]:
-        """
-        Generate A2UI messages for this surface.
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        messages: List[Dict[str, Any]] = []
-        
-        # 1. CreateSurface message
-        create_msg = CreateSurfaceMessage(
-            surface_id=self.surface_id,
-            catalog_id=self.catalog_id,
-        )
-        messages.append(create_msg.to_dict())
-        
-        # 2. UpdateComponents message (if we have components)
-        if self.components:
-            update_msg = UpdateComponentsMessage(
-                surface_id=self.surface_id,
-                components=self.components,
-            )
-            messages.append(update_msg.to_dict())
-        
-        # 3. UpdateDataModel message (if we have data)
-        if self.data:
-            data_msg = UpdateDataModelMessage(
-                surface_id=self.surface_id,
-                value=self.data,
-            )
-            messages.append(data_msg.to_dict())
-        
-        return messages
-    
-    def to_json(self, indent: Optional[int] = None) -> str:
-        """
-        Generate A2UI messages as a JSON string.
-        
-        Args:
-            indent: JSON indentation level (None for compact)
-        
-        Returns:
-            JSON string of A2UI messages
-        """
-        return json.dumps(self.to_messages(), indent=indent)

src/praisonai-agents/praisonaiagents/ui/a2ui/templates/__init__.py

@@ -1,17 +0,0 @@
-"""
-A2UI Templates
-
-Pre-built UI templates for common use cases.
-"""
-
-from praisonaiagents.ui.a2ui.templates.chat import ChatTemplate
-from praisonaiagents.ui.a2ui.templates.list import ListTemplate
-from praisonaiagents.ui.a2ui.templates.form import FormTemplate
-from praisonaiagents.ui.a2ui.templates.dashboard import DashboardTemplate
-
-__all__ = [
-    "ChatTemplate",
-    "ListTemplate",
-    "FormTemplate",
-    "DashboardTemplate",
-]

src/praisonai-agents/praisonaiagents/ui/a2ui/templates/chat.py

@@ -1,122 +0,0 @@
-"""
-Chat Template for A2UI
-
-Provides a conversational chat UI template.
-"""
-
-from typing import Any, Dict, List, Optional
-
-from praisonaiagents.ui.a2ui.surface import Surface
-from praisonaiagents.ui.a2ui.extension import STANDARD_CATALOG_ID
-
-
-class ChatTemplate:
-    """
-    Chat UI template for conversational interfaces.
-    
-    Creates a chat-style UI with user and agent messages.
-    
-    Example:
-        >>> template = ChatTemplate(surface_id="chat")
-        >>> template.add_user_message("Hello!")
-        >>> template.add_agent_message("Hi there! How can I help?")
-        >>> messages = template.to_messages()
-    """
-    
-    def __init__(
-        self,
-        surface_id: str = "chat",
-        catalog_id: str = STANDARD_CATALOG_ID,
-        title: Optional[str] = None,
-    ):
-        """
-        Initialize ChatTemplate.
-        
-        Args:
-            surface_id: Unique ID for the surface
-            catalog_id: Component catalog to use
-            title: Optional title for the chat
-        """
-        self.surface_id = surface_id
-        self.catalog_id = catalog_id
-        self.title = title
-        self.messages: List[Dict[str, Any]] = []
-    
-    def add_user_message(self, content: str) -> "ChatTemplate":
-        """
-        Add a user message.
-        
-        Args:
-            content: Message content
-        
-        Returns:
-            self for chaining
-        """
-        self.messages.append({
-            "role": "user",
-            "content": content,
-        })
-        return self
-    
-    def add_agent_message(self, content: str) -> "ChatTemplate":
-        """
-        Add an agent message.
-        
-        Args:
-            content: Message content
-        
-        Returns:
-            self for chaining
-        """
-        self.messages.append({
-            "role": "agent",
-            "content": content,
-        })
-        return self
-    
-    def to_messages(self) -> List[Dict[str, Any]]:
-        """
-        Generate A2UI messages for the chat.
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = Surface(
-            surface_id=self.surface_id,
-            catalog_id=self.catalog_id,
-        )
-        
-        children = []
-        
-        # Title if provided
-        if self.title:
-            surface.text(id="chat-title", text=self.title, usage_hint="h1")
-            children.append("chat-title")
-        
-        # Message components
-        msg_ids = []
-        for i, msg in enumerate(self.messages):
-            msg_id = f"msg-{i}"
-            role = msg["role"]
-            content = msg["content"]
-            
-            # Style based on role
-            if role == "user":
-                surface.text(id=msg_id, text=f"You: {content}", usage_hint="body")
-            else:
-                surface.text(id=msg_id, text=f"Agent: {content}", usage_hint="body")
-            
-            msg_ids.append(msg_id)
-        
-        # Messages column
-        if msg_ids:
-            surface.column(id="messages", children=msg_ids)
-            children.append("messages")
-        
-        # Root column
-        surface.column(id="root", children=children)
-        
-        # Set data
-        surface.set_data("messages", self.messages)
-        
-        return surface.to_messages()

src/praisonai-agents/praisonaiagents/ui/a2ui/templates/dashboard.py

@@ -1,128 +0,0 @@
-"""
-Dashboard Template for A2UI
-
-Provides a dashboard UI template with multiple panels.
-"""
-
-from typing import Any, Dict, List, Optional
-
-from praisonaiagents.ui.a2ui.surface import Surface
-from praisonaiagents.ui.a2ui.extension import STANDARD_CATALOG_ID
-
-
-class DashboardTemplate:
-    """
-    Dashboard UI template with multiple panels.
-    
-    Creates a dashboard layout with cards for each panel.
-    
-    Example:
-        >>> template = DashboardTemplate(surface_id="dashboard", title="My Dashboard")
-        >>> template.add_panel(id="stats", title="Statistics", content="100 items")
-        >>> template.add_panel(id="chart", title="Chart", content="[Chart here]")
-        >>> messages = template.to_messages()
-    """
-    
-    def __init__(
-        self,
-        surface_id: str = "dashboard",
-        title: str = "Dashboard",
-        catalog_id: str = STANDARD_CATALOG_ID,
-        columns: int = 2,
-    ):
-        """
-        Initialize DashboardTemplate.
-        
-        Args:
-            surface_id: Unique ID for the surface
-            title: Dashboard title
-            catalog_id: Component catalog to use
-            columns: Number of columns in the grid
-        """
-        self.surface_id = surface_id
-        self.title = title
-        self.catalog_id = catalog_id
-        self.columns = columns
-        self.panels: List[Dict[str, Any]] = []
-    
-    def add_panel(
-        self,
-        id: str,
-        title: str,
-        content: str,
-        weight: Optional[float] = None,
-    ) -> "DashboardTemplate":
-        """
-        Add a panel to the dashboard.
-        
-        Args:
-            id: Panel ID
-            title: Panel title
-            content: Panel content text
-            weight: Optional flex weight
-        
-        Returns:
-            self for chaining
-        """
-        self.panels.append({
-            "id": id,
-            "title": title,
-            "content": content,
-            "weight": weight,
-        })
-        return self
-    
-    def to_messages(self) -> List[Dict[str, Any]]:
-        """
-        Generate A2UI messages for the dashboard.
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = Surface(
-            surface_id=self.surface_id,
-            catalog_id=self.catalog_id,
-        )
-        
-        # Title
-        surface.text(id="dashboard-title", text=self.title, usage_hint="h1")
-        
-        # Create cards for each panel
-        card_ids = []
-        for panel in self.panels:
-            panel_id = panel["id"]
-            content_id = f"{panel_id}-content"
-            title_id = f"{panel_id}-title"
-            text_id = f"{panel_id}-text"
-            
-            # Panel title
-            surface.text(id=title_id, text=panel["title"], usage_hint="h3")
-            
-            # Panel content
-            surface.text(id=text_id, text=panel["content"], usage_hint="body")
-            
-            # Panel content column
-            surface.column(id=content_id, children=[title_id, text_id])
-            
-            # Panel card
-            surface.card(id=panel_id, child=content_id, weight=panel.get("weight"))
-            card_ids.append(panel_id)
-        
-        # Arrange panels in rows based on columns setting
-        row_ids = []
-        for i in range(0, len(card_ids), self.columns):
-            row_cards = card_ids[i:i + self.columns]
-            row_id = f"row-{i // self.columns}"
-            surface.row(id=row_id, children=row_cards)
-            row_ids.append(row_id)
-        
-        # Panels container
-        surface.column(id="panels", children=row_ids)
-        
-        # Root column
-        surface.column(id="root", children=["dashboard-title", "panels"])
-        
-        # Set data
-        surface.set_data("panels", self.panels)
-        
-        return surface.to_messages()

src/praisonai-agents/praisonaiagents/ui/a2ui/templates/form.py

@@ -1,205 +0,0 @@
-"""
-Form Template for A2UI
-
-Provides a form UI template for data collection.
-"""
-
-from typing import Any, Dict, List
-
-from praisonaiagents.ui.a2ui.surface import Surface
-from praisonaiagents.ui.a2ui.types import PathBinding
-from praisonaiagents.ui.a2ui.extension import STANDARD_CATALOG_ID
-
-
-class FormTemplate:
-    """
-    Form UI template for data collection.
-    
-    Creates a form with various input fields and a submit button.
-    
-    Example:
-        >>> template = FormTemplate(surface_id="form", title="Contact")
-        >>> template.add_text_field(id="name", label="Name")
-        >>> template.add_email_field(id="email", label="Email")
-        >>> template.set_submit_action("submit_form", "Send")
-        >>> messages = template.to_messages()
-    """
-    
-    def __init__(
-        self,
-        surface_id: str = "form",
-        title: str = "Form",
-        catalog_id: str = STANDARD_CATALOG_ID,
-    ):
-        """
-        Initialize FormTemplate.
-        
-        Args:
-            surface_id: Unique ID for the surface
-            title: Form title
-            catalog_id: Component catalog to use
-        """
-        self.surface_id = surface_id
-        self.title = title
-        self.catalog_id = catalog_id
-        self.fields: List[Dict[str, Any]] = []
-        self.submit_action = "submit"
-        self.submit_label = "Submit"
-    
-    def add_text_field(
-        self,
-        id: str,
-        label: str,
-        default: str = "",
-        required: bool = False,
-    ) -> "FormTemplate":
-        """
-        Add a text input field.
-        
-        Args:
-            id: Field ID
-            label: Field label
-            default: Default value
-            required: Whether field is required
-        
-        Returns:
-            self for chaining
-        """
-        self.fields.append({
-            "id": id,
-            "label": label,
-            "type": "text",
-            "default": default,
-            "required": required,
-        })
-        return self
-    
-    def add_number_field(
-        self,
-        id: str,
-        label: str,
-        default: float = 0,
-        required: bool = False,
-    ) -> "FormTemplate":
-        """
-        Add a number input field.
-        
-        Args:
-            id: Field ID
-            label: Field label
-            default: Default value
-            required: Whether field is required
-        
-        Returns:
-            self for chaining
-        """
-        self.fields.append({
-            "id": id,
-            "label": label,
-            "type": "number",
-            "default": default,
-            "required": required,
-        })
-        return self
-    
-    def add_email_field(
-        self,
-        id: str,
-        label: str,
-        default: str = "",
-        required: bool = False,
-    ) -> "FormTemplate":
-        """
-        Add an email input field.
-        
-        Args:
-            id: Field ID
-            label: Field label
-            default: Default value
-            required: Whether field is required
-        
-        Returns:
-            self for chaining
-        """
-        self.fields.append({
-            "id": id,
-            "label": label,
-            "type": "email",
-            "default": default,
-            "required": required,
-        })
-        return self
-    
-    def set_submit_action(
-        self,
-        action: str,
-        label: str = "Submit",
-    ) -> "FormTemplate":
-        """
-        Set the submit button action.
-        
-        Args:
-            action: Action name
-            label: Button label
-        
-        Returns:
-            self for chaining
-        """
-        self.submit_action = action
-        self.submit_label = label
-        return self
-    
-    def to_messages(self) -> List[Dict[str, Any]]:
-        """
-        Generate A2UI messages for the form.
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = Surface(
-            surface_id=self.surface_id,
-            catalog_id=self.catalog_id,
-        )
-        
-        # Title
-        surface.text(id="form-title", text=self.title, usage_hint="h1")
-        
-        # Fields
-        field_ids = []
-        for field in self.fields:
-            field_id = field["id"]
-            surface.text_field(
-                id=field_id,
-                label=field["label"],
-                text=PathBinding(path=f"/{field_id}"),
-                field_type=field["type"],
-            )
-            field_ids.append(field_id)
-            
-            # Set default value
-            surface.set_data(field_id, field.get("default", ""))
-        
-        # Submit button
-        surface.text(id="submit-text", text=self.submit_label)
-        
-        action_context = [
-            {"key": f["id"], "value": {"path": f"/{f['id']}"}}
-            for f in self.fields
-        ]
-        
-        surface.button(
-            id="submit-btn",
-            child="submit-text",
-            action_name=self.submit_action,
-            action_context=action_context,
-            primary=True,
-        )
-        field_ids.append("submit-btn")
-        
-        # Form fields column
-        surface.column(id="fields", children=field_ids)
-        
-        # Root column
-        surface.column(id="root", children=["form-title", "fields"])
-        
-        return surface.to_messages()

src/praisonai-agents/praisonaiagents/ui/a2ui/templates/list.py

@@ -1,147 +0,0 @@
-"""
-List Template for A2UI
-
-Provides a list UI template for displaying items.
-"""
-
-from typing import Any, Dict, List, Optional
-
-from praisonaiagents.ui.a2ui.surface import Surface
-from praisonaiagents.ui.a2ui.extension import STANDARD_CATALOG_ID
-
-
-class ListTemplate:
-    """
-    List UI template for displaying items.
-    
-    Creates a list of cards with title, description, and optional image.
-    
-    Example:
-        >>> template = ListTemplate(surface_id="list", title="Results")
-        >>> template.add_item(title="Item 1", description="First item")
-        >>> template.add_item(title="Item 2", description="Second item")
-        >>> messages = template.to_messages()
-    """
-    
-    def __init__(
-        self,
-        surface_id: str = "list",
-        title: str = "Items",
-        catalog_id: str = STANDARD_CATALOG_ID,
-    ):
-        """
-        Initialize ListTemplate.
-        
-        Args:
-            surface_id: Unique ID for the surface
-            title: List title
-            catalog_id: Component catalog to use
-        """
-        self.surface_id = surface_id
-        self.title = title
-        self.catalog_id = catalog_id
-        self.items: List[Dict[str, Any]] = []
-    
-    def add_item(
-        self,
-        title: str,
-        description: str = "",
-        image_url: Optional[str] = None,
-        action: Optional[str] = None,
-        metadata: Optional[Dict[str, Any]] = None,
-    ) -> "ListTemplate":
-        """
-        Add an item to the list.
-        
-        Args:
-            title: Item title
-            description: Item description
-            image_url: Optional image URL
-            action: Optional action name for item button
-            metadata: Optional additional metadata
-        
-        Returns:
-            self for chaining
-        """
-        item = {
-            "title": title,
-            "description": description,
-        }
-        if image_url:
-            item["image_url"] = image_url
-        if action:
-            item["action"] = action
-        if metadata:
-            item.update(metadata)
-        
-        self.items.append(item)
-        return self
-    
-    def to_messages(self) -> List[Dict[str, Any]]:
-        """
-        Generate A2UI messages for the list.
-        
-        Returns:
-            List of A2UI message dictionaries
-        """
-        surface = Surface(
-            surface_id=self.surface_id,
-            catalog_id=self.catalog_id,
-        )
-        
-        # Title
-        surface.text(id="list-title", text=self.title, usage_hint="h1")
-        
-        # Create cards for each item
-        card_ids = []
-        for i, item in enumerate(self.items):
-            card_id = f"card-{i}"
-            content_id = f"content-{i}"
-            title_id = f"title-{i}"
-            desc_id = f"desc-{i}"
-            
-            # Item title
-            surface.text(id=title_id, text=item["title"], usage_hint="h3")
-            
-            # Item description
-            surface.text(id=desc_id, text=item.get("description", ""), usage_hint="body")
-            
-            content_children = [title_id, desc_id]
-            
-            # Optional image
-            if item.get("image_url"):
-                img_id = f"img-{i}"
-                surface.image(id=img_id, url=item["image_url"], usage_hint="smallFeature")
-                content_children.insert(0, img_id)
-            
-            # Optional action button
-            if item.get("action"):
-                btn_id = f"btn-{i}"
-                btn_text_id = f"btn-text-{i}"
-                surface.text(id=btn_text_id, text="Select")
-                surface.button(
-                    id=btn_id,
-                    child=btn_text_id,
-                    action_name=item["action"],
-                    action_context=[{"key": "index", "value": i}],
-                    primary=True,
-                )
-                content_children.append(btn_id)
-            
-            # Card content
-            surface.column(id=content_id, children=content_children)
-            
-            # Card
-            surface.card(id=card_id, child=content_id)
-            card_ids.append(card_id)
-        
-        # Items column
-        surface.column(id="items", children=card_ids)
-        
-        # Root column
-        surface.column(id="root", children=["list-title", "items"])
-        
-        # Set data
-        surface.set_data("items", self.items)
-        
-        return surface.to_messages()

src/praisonai-agents/praisonaiagents/ui/a2ui/types.py

@@ -1,523 +0,0 @@
-"""
-A2UI Protocol Types
-
-Pydantic-style classes for the A2UI (Agent-to-User Interface) protocol.
-Based on the A2UI Specification v0.9.
-"""
-
-from dataclasses import dataclass, field
-from typing import Any, Dict, List, Optional, Union
-from enum import Enum
-
-
-# =============================================================================
-# Data Binding Types
-# =============================================================================
-
-@dataclass
-class PathBinding:
-    """
-    A reference to a value in the data model.
-    
-    Used for data binding in A2UI components.
-    """
-    path: str
-    
-    def to_dict(self) -> Dict[str, str]:
-        return {"path": self.path}
-
-
-# Type alias for values that can be literal or path-bound
-StringOrPath = Union[str, PathBinding]
-NumberOrPath = Union[int, float, PathBinding]
-BooleanOrPath = Union[bool, PathBinding]
-
-
-def resolve_string_or_path(value: StringOrPath) -> Union[str, Dict[str, str]]:
-    """Resolve a StringOrPath to its serialized form."""
-    if isinstance(value, PathBinding):
-        return value.to_dict()
-    return value
-
-
-def resolve_number_or_path(value: NumberOrPath) -> Union[int, float, Dict[str, str]]:
-    """Resolve a NumberOrPath to its serialized form."""
-    if isinstance(value, PathBinding):
-        return value.to_dict()
-    return value
-
-
-def resolve_boolean_or_path(value: BooleanOrPath) -> Union[bool, Dict[str, str]]:
-    """Resolve a BooleanOrPath to its serialized form."""
-    if isinstance(value, PathBinding):
-        return value.to_dict()
-    return value
-
-
-# =============================================================================
-# Action Types
-# =============================================================================
-
-@dataclass
-class ActionContext:
-    """
-    A key-value pair for action context.
-    
-    Used to pass data from UI to action handlers.
-    """
-    key: str
-    value: Union[str, int, float, bool, PathBinding]
-    
-    def to_dict(self) -> Dict[str, Any]:
-        if isinstance(self.value, PathBinding):
-            return {"key": self.key, "value": self.value.to_dict()}
-        return {"key": self.key, "value": self.value}
-
-
-@dataclass
-class Action:
-    """
-    An action triggered by a UI component (e.g., button click).
-    """
-    name: str
-    context: List[ActionContext] = field(default_factory=list)
-    
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            "name": self.name,
-            "context": [c.to_dict() for c in self.context]
-        }
-
-
-# =============================================================================
-# Children Types
-# =============================================================================
-
-@dataclass
-class ChildrenTemplate:
-    """
-    A template for generating dynamic children from a data model list.
-    """
-    component_id: str
-    path: str
-    
-    def to_dict(self) -> Dict[str, str]:
-        return {
-            "componentId": self.component_id,
-            "path": self.path
-        }
-
-
-# Type alias for children - either explicit list or template
-ChildrenType = Union[List[str], ChildrenTemplate]
-
-
-def resolve_children(children: ChildrenType) -> Union[List[str], Dict[str, str]]:
-    """Resolve children to serialized form."""
-    if isinstance(children, ChildrenTemplate):
-        return children.to_dict()
-    return children
-
-
-# =============================================================================
-# Component Types
-# =============================================================================
-
-class UsageHint(str, Enum):
-    """Text usage hints for styling."""
-    H1 = "h1"
-    H2 = "h2"
-    H3 = "h3"
-    H4 = "h4"
-    H5 = "h5"
-    CAPTION = "caption"
-    BODY = "body"
-
-
-class ImageFit(str, Enum):
-    """Image fit options."""
-    CONTAIN = "contain"
-    COVER = "cover"
-    FILL = "fill"
-    NONE = "none"
-    SCALE_DOWN = "scale-down"
-
-
-class ImageUsageHint(str, Enum):
-    """Image usage hints."""
-    ICON = "icon"
-    AVATAR = "avatar"
-    SMALL_FEATURE = "smallFeature"
-    MEDIUM_FEATURE = "mediumFeature"
-    LARGE_FEATURE = "largeFeature"
-    HEADER = "header"
-
-
-@dataclass
-class TextComponent:
-    """Text display component."""
-    id: str
-    text: StringOrPath
-    usage_hint: Optional[str] = None
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Text",
-            "text": resolve_string_or_path(self.text)
-        }
-        if self.usage_hint:
-            result["usageHint"] = self.usage_hint
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class ImageComponent:
-    """Image display component."""
-    id: str
-    url: StringOrPath
-    fit: Optional[str] = None
-    usage_hint: Optional[str] = None
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Image",
-            "url": resolve_string_or_path(self.url)
-        }
-        if self.fit:
-            result["fit"] = self.fit
-        if self.usage_hint:
-            result["usageHint"] = self.usage_hint
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class IconComponent:
-    """Icon display component."""
-    id: str
-    name: StringOrPath
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Icon",
-            "name": resolve_string_or_path(self.name)
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class ButtonComponent:
-    """Button component with action."""
-    id: str
-    child: str
-    action: Optional[Action] = None
-    primary: bool = False
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Button",
-            "child": self.child
-        }
-        if self.primary:
-            result["primary"] = True
-        if self.action:
-            result["action"] = self.action.to_dict()
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class CardComponent:
-    """Card container component."""
-    id: str
-    child: str
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Card",
-            "child": self.child
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class RowComponent:
-    """Horizontal layout component."""
-    id: str
-    children: ChildrenType
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Row",
-            "children": resolve_children(self.children)
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class ColumnComponent:
-    """Vertical layout component."""
-    id: str
-    children: ChildrenType
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Column",
-            "children": resolve_children(self.children)
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class ListComponent:
-    """List component for repeating items."""
-    id: str
-    children: ChildrenType
-    direction: str = "vertical"
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "List",
-            "direction": self.direction,
-            "children": resolve_children(self.children)
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class TextFieldComponent:
-    """Text input field component."""
-    id: str
-    label: StringOrPath
-    text: StringOrPath
-    field_type: str = "text"
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "TextField",
-            "label": resolve_string_or_path(self.label),
-            "text": resolve_string_or_path(self.text),
-            "type": self.field_type
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class CheckBoxComponent:
-    """Checkbox input component."""
-    id: str
-    label: StringOrPath
-    checked: BooleanOrPath = False
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "CheckBox",
-            "label": resolve_string_or_path(self.label),
-            "checked": resolve_boolean_or_path(self.checked)
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class SliderComponent:
-    """Slider input component."""
-    id: str
-    min_value: NumberOrPath
-    max_value: NumberOrPath
-    value: NumberOrPath
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "Slider",
-            "min": resolve_number_or_path(self.min_value),
-            "max": resolve_number_or_path(self.max_value),
-            "value": resolve_number_or_path(self.value)
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-@dataclass
-class DateTimeInputComponent:
-    """Date/time input component."""
-    id: str
-    label: StringOrPath
-    value: StringOrPath
-    enable_date: bool = True
-    enable_time: bool = False
-    weight: Optional[float] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "id": self.id,
-            "component": "DateTimeInput",
-            "label": resolve_string_or_path(self.label),
-            "value": resolve_string_or_path(self.value),
-            "enableDate": self.enable_date,
-            "enableTime": self.enable_time
-        }
-        if self.weight is not None:
-            result["weight"] = self.weight
-        return result
-
-
-# Type alias for any component
-Component = Union[
-    TextComponent,
-    ImageComponent,
-    IconComponent,
-    ButtonComponent,
-    CardComponent,
-    RowComponent,
-    ColumnComponent,
-    ListComponent,
-    TextFieldComponent,
-    CheckBoxComponent,
-    SliderComponent,
-    DateTimeInputComponent,
-]
-
-
-# =============================================================================
-# Message Types
-# =============================================================================
-
-@dataclass
-class CreateSurfaceMessage:
-    """
-    Message to create a new UI surface.
-    
-    Signals the client to create a new surface and begin rendering it.
-    """
-    surface_id: str
-    catalog_id: str
-    
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            "createSurface": {
-                "surfaceId": self.surface_id,
-                "catalogId": self.catalog_id
-            }
-        }
-
-
-@dataclass
-class UpdateComponentsMessage:
-    """
-    Message to update surface components.
-    
-    Updates a surface with a new set of components.
-    """
-    surface_id: str
-    components: List[Component]
-    
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            "updateComponents": {
-                "surfaceId": self.surface_id,
-                "components": [c.to_dict() for c in self.components]
-            }
-        }
-
-
-@dataclass
-class UpdateDataModelMessage:
-    """
-    Message to update the data model.
-    
-    Updates the data model for an existing surface.
-    """
-    surface_id: str
-    value: Any
-    path: str = "/"
-    op: str = "replace"
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {
-            "updateDataModel": {
-                "surfaceId": self.surface_id,
-                "path": self.path,
-                "op": self.op,
-                "value": self.value
-            }
-        }
-        return result
-
-
-@dataclass
-class DeleteSurfaceMessage:
-    """
-    Message to delete a surface.
-    
-    Signals the client to delete the surface.
-    """
-    surface_id: str
-    
-    def to_dict(self) -> Dict[str, Any]:
-        return {
-            "deleteSurface": {
-                "surfaceId": self.surface_id
-            }
-        }
-
-
-# =============================================================================
-# Data Part Type
-# =============================================================================
-
-@dataclass
-class A2UIDataPart:
-    """
-    A2UI data part for A2A integration.
-    
-    Wraps A2UI data with the appropriate MIME type.
-    """
-    data: Dict[str, Any]
-    metadata: Optional[Dict[str, Any]] = None
-    
-    def to_dict(self) -> Dict[str, Any]:
-        result: Dict[str, Any] = {"data": self.data}
-        if self.metadata:
-            result["metadata"] = self.metadata
-        return result

src/praisonai-agents/praisonaiagents/ui/agui/streaming.py

@@ -4,6 +4,8 @@ AG-UI Event Streaming
 Provides utilities for streaming PraisonAI agent responses as AG-UI events.
 """
 
+import asyncio
+import json
 import uuid
 from dataclasses import dataclass, field
 from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Set
@@ -256,6 +258,47 @@ async def async_stream_response(
         yield create_run_error_event(str(e))
 
 
+def stream_event_to_agui_events(
+    event: Any,
+    message_id: str,
+    buffer: EventBuffer,
+) -> List[BaseEvent]:
+    """Convert a PraisonAI StreamEvent into zero or more AG-UI events."""
+    from praisonaiagents.streaming.events import StreamEventType
+
+    if event.type == StreamEventType.DELTA_TEXT and event.content:
+        if not buffer.current_text_message_id:
+            buffer.start_text_message()
+            return [
+                TextMessageStartEvent(message_id=buffer.current_text_message_id, role="assistant"),
+                TextMessageContentEvent(
+                    message_id=buffer.current_text_message_id, delta=event.content
+                ),
+            ]
+        return [
+            TextMessageContentEvent(
+                message_id=buffer.current_text_message_id, delta=event.content
+            )
+        ]
+
+    if event.type == StreamEventType.TOOL_CALL_START and event.tool_call:
+        tool_call_id = event.tool_call.get("id") or str(uuid.uuid4())
+        tool_name = event.tool_call.get("name", "tool")
+        arguments = event.tool_call.get("arguments", {})
+        args_str = json.dumps(arguments) if isinstance(arguments, dict) else str(arguments)
+        parent_id = buffer.get_parent_message_id_for_tool_call() or message_id
+        buffer.start_tool_call(tool_call_id)
+        return list(create_tool_call_events(tool_call_id, tool_name, args_str, parent_id))
+
+    if event.type == StreamEventType.TOOL_CALL_RESULT and event.tool_call:
+        tool_call_id = event.tool_call.get("id") or str(uuid.uuid4())
+        content = event.content if event.content is not None else str(event.tool_call.get("result", ""))
+        buffer.end_tool_call(tool_call_id)
+        return [create_tool_result_event(tool_call_id, str(content), message_id)]
+
+    return []
+
+
 async def async_stream_agent_response(
     agent,
     user_input: str,
@@ -278,37 +321,63 @@ async def async_stream_agent_response(
     Yields:
         AG-UI events
     """
-    import asyncio
-    
-    # Emit run started
     yield create_run_started_event(thread_id, run_id)
-    
+
+    loop = asyncio.get_running_loop()
+    queue: asyncio.Queue = asyncio.Queue()
+    buffer = EventBuffer()
     message_id = str(uuid.uuid4())
-    
-    try:
-        # Check if agent has async chat method
-        if hasattr(agent, 'achat'):
-            response = await agent.achat(user_input)
-        elif hasattr(agent, 'chat'):
-            # Run sync chat in executor
-            loop = asyncio.get_event_loop()
-            response = await loop.run_in_executor(None, agent.chat, user_input)
-        else:
+    text_started = False
+    text_ended = False
+    original_emitter = getattr(agent, "stream_emitter", None)
+
+    def on_stream_event(event: Any) -> None:
+        loop.call_soon_threadsafe(queue.put_nowait, ("stream", event))
+
+    if original_emitter is not None:
+        original_emitter.add_callback(on_stream_event)
+
+    async def run_chat() -> Any:
+        try:
+            if hasattr(agent, "achat"):
+                return await agent.achat(user_input, stream=True)
+            if hasattr(agent, "chat"):
+                return await loop.run_in_executor(
+                    None, lambda: agent.chat(user_input, stream=True)
+                )
             raise ValueError("Agent must have 'chat' or 'achat' method")
-        
-        # Emit text message events
-        yield TextMessageStartEvent(message_id=message_id, role="assistant")
-        
-        if response:
+        finally:
+            loop.call_soon_threadsafe(queue.put_nowait, ("done", None))
+
+    chat_task = asyncio.create_task(run_chat())
+
+    try:
+        while True:
+            kind, payload = await queue.get()
+            if kind == "done":
+                break
+            for agui_event in stream_event_to_agui_events(payload, message_id, buffer):
+                if isinstance(agui_event, TextMessageStartEvent):
+                    text_started = True
+                yield agui_event
+
+        response = await chat_task
+
+        if text_started and buffer.current_text_message_id and not text_ended:
+            yield TextMessageEndEvent(message_id=buffer.current_text_message_id)
+            text_ended = True
+        elif not text_started and response:
+            yield TextMessageStartEvent(message_id=message_id, role="assistant")
             yield TextMessageContentEvent(message_id=message_id, delta=str(response))
-        
-        yield TextMessageEndEvent(message_id=message_id)
-        
-        # Emit run finished
+            yield TextMessageEndEvent(message_id=message_id)
+
         yield create_run_finished_event(thread_id, run_id)
-        
+
     except Exception as e:
         yield create_run_error_event(str(e))
+    finally:
+        if original_emitter is not None:
+            original_emitter.remove_callback(on_stream_event)
 
 
 async def async_stream_agents_response(
@@ -331,8 +400,6 @@ async def async_stream_agents_response(
     Yields:
         AG-UI events
     """
-    import asyncio
-    
     # Emit run started
     yield create_run_started_event(thread_id, run_id)
     
@@ -344,7 +411,7 @@ async def async_stream_agents_response(
             result = await agents.astart(user_input)
         elif hasattr(agents, 'start'):
             # Run sync start in executor
-            loop = asyncio.get_event_loop()
+            loop = asyncio.get_running_loop()
             result = await loop.run_in_executor(None, agents.start, user_input)
         else:
             raise ValueError("Agents must have 'start' or 'astart' method")

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "1.6.41"
+version = "1.6.43"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 readme = "README.md"
 requires-python = ">=3.10"
@@ -106,6 +106,12 @@ sandbox = [
     "e2b-code-interpreter>=1.0.0",
 ]
 
+# Declarative agent UI (Google A2UI SDK — lazy loaded)
+a2ui = [
+    "a2ui-agent-sdk>=0.2.1",
+    "a2a-sdk>=0.3.0,<1.0.0",
+]
+
 # Docker sandbox dependencies
 sandbox-docker = [
     "docker>=7.0.0",
@@ -126,7 +132,8 @@ all = [
     "praisonaiagents[search]",
     "praisonaiagents[crawl]",
     "praisonaiagents[autonomy]",
-    "praisonaiagents[os]"
+    "praisonaiagents[os]",
+    "praisonaiagents[a2ui]",
 ]
 
 [tool.setuptools.packages.find]

src/praisonai-agents/tests/a2ui/__init__.py

@@ -1 +0,0 @@
-"""A2UI Tests Package."""

src/praisonai-agents/tests/a2ui/test_adapter.py

@@ -0,0 +1,36 @@
+"""Tests for A2UI adapter (optional a2ui-agent-sdk dependency)."""
+
+import pytest
+
+
+class TestA2UIAdapterImport:
+    def test_a2ui_class_export(self):
+        from praisonaiagents.ui.a2ui import A2UI
+
+        assert A2UI is not None
+        assert hasattr(A2UI, "create_part")
+
+    def test_ui_lazy_a2ui_export(self):
+        from praisonaiagents.ui import A2UI
+
+        assert A2UI is not None
+
+    def test_missing_optional_dep_raises_clear_error(self):
+        pytest.importorskip("a2ui", reason="a2ui-agent-sdk not installed")
+        # If installed, adapter imports should work
+        from praisonaiagents.ui.a2ui.adapter import create_a2ui_part
+
+        part = create_a2ui_part({"createSurface": {"surfaceId": "main", "catalogId": "test"}})
+        assert part is not None
+
+
+class TestA2UITool:
+    def test_send_a2ui_messages_requires_sdk(self):
+        from praisonaiagents.tools.a2ui_tools import send_a2ui_messages
+
+        if pytest.importorskip("a2ui", reason="skip without sdk"):
+            result = send_a2ui_messages(
+                messages=[{"createSurface": {"surfaceId": "x", "catalogId": "c"}}]
+            )
+            assert result["mime_type"] == "application/json+a2ui"
+            assert len(result["messages"]) == 1

src/praisonai-agents/tests/a2ui/test_agent.py

@@ -1,202 +0,0 @@
-"""
-Tests for A2UI Agent Integration
-
-TDD: Write tests first, then implement the A2UIAgent class.
-"""
-
-import os
-import pytest
-
-
-# Skip tests if no API key
-pytestmark = pytest.mark.skipif(
-    not os.environ.get("OPENAI_API_KEY"),
-    reason="OPENAI_API_KEY not set"
-)
-
-
-class TestA2UIAgent:
-    """Test A2UIAgent wrapper class."""
-
-    def test_a2ui_agent_creation(self):
-        """Test A2UIAgent creation with an agent."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        
-        agent = Agent(
-            name="TestAgent",
-            role="Test assistant",
-            goal="Help with testing"
-        )
-        
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        assert a2ui_agent.agent is agent
-        assert a2ui_agent.surface_id is not None
-
-    def test_a2ui_agent_with_custom_surface_id(self):
-        """Test A2UIAgent with custom surface ID."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent, surface_id="custom-surface")
-        
-        assert a2ui_agent.surface_id == "custom-surface"
-
-    def test_render_text_response(self):
-        """Test rendering a simple text response as A2UI."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        # Render a simple text response
-        messages = a2ui_agent.render_text("Hello, World!")
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2  # createSurface + updateComponents
-        
-        # Check createSurface
-        assert "createSurface" in messages[0]
-        
-        # Check updateComponents has a text component
-        update_msg = next((m for m in messages if "updateComponents" in m), None)
-        assert update_msg is not None
-        components = update_msg["updateComponents"]["components"]
-        assert any(c.get("component") == "Text" for c in components)
-
-    def test_render_list_response(self):
-        """Test rendering a list of items as A2UI cards."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        items = [
-            {"title": "Item 1", "description": "First item"},
-            {"title": "Item 2", "description": "Second item"},
-        ]
-        
-        messages = a2ui_agent.render_list(
-            title="My Items",
-            items=items,
-            item_title_key="title",
-            item_description_key="description"
-        )
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2
-
-    def test_render_form(self):
-        """Test rendering a form as A2UI."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        fields = [
-            {"id": "name", "label": "Name", "type": "text"},
-            {"id": "email", "label": "Email", "type": "text"},
-        ]
-        
-        messages = a2ui_agent.render_form(
-            title="Contact Form",
-            fields=fields,
-            submit_action="submit_form"
-        )
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2
-        
-        # Check for TextField components
-        update_msg = next((m for m in messages if "updateComponents" in m), None)
-        assert update_msg is not None
-        components = update_msg["updateComponents"]["components"]
-        text_fields = [c for c in components if c.get("component") == "TextField"]
-        assert len(text_fields) >= 2
-
-    def test_get_surface(self):
-        """Test getting the underlying Surface object."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        surface = a2ui_agent.get_surface()
-        
-        assert isinstance(surface, Surface)
-        assert surface.surface_id == a2ui_agent.surface_id
-
-
-class TestA2UIAgentWithLLM:
-    """Test A2UIAgent with actual LLM calls."""
-
-    @pytest.mark.integration
-    @pytest.mark.asyncio
-    async def test_chat_with_ui(self):
-        """Test chat that returns A2UI response."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        
-        agent = Agent(
-            name="UIAgent",
-            role="UI Generator",
-            goal="Generate helpful UI responses",
-            llm="gpt-4o-mini"
-        )
-        
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        # This should work with the agent's chat
-        response = await a2ui_agent.chat_async("Say hello")
-        
-        assert response is not None
-        # Response should contain text
-        assert isinstance(response, str) or isinstance(response, dict)
-
-
-class TestA2UIAgentIntegration:
-    """Integration tests for A2UIAgent with A2A."""
-
-    def test_get_a2a_data_part(self):
-        """Test getting A2UI as A2A DataPart."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        from praisonaiagents.ui.a2ui.extension import is_a2ui_part
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        # Render something
-        a2ui_agent.render_text("Hello")
-        
-        # Get as A2A DataPart
-        part = a2ui_agent.to_a2a_part()
-        
-        assert part is not None
-        assert is_a2ui_part(part)
-
-    def test_to_json(self):
-        """Test getting A2UI as JSON string."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui.agent import A2UIAgent
-        import json
-        
-        agent = Agent(name="TestAgent", role="Test", goal="Test")
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        # Render something
-        a2ui_agent.render_text("Hello")
-        
-        # Get as JSON
-        json_str = a2ui_agent.to_json()
-        
-        # Should be valid JSON
-        parsed = json.loads(json_str)
-        assert isinstance(parsed, list)

src/praisonai-agents/tests/a2ui/test_extension.py

@@ -1,115 +0,0 @@
-"""
-Tests for A2UI Extension Module
-
-TDD: Write tests first, then implement the extension.
-"""
-
-
-class TestA2UIExtension:
-    """Test A2UI extension helpers for A2A integration."""
-
-    def test_a2ui_mime_type(self):
-        """Test A2UI MIME type constant."""
-        from praisonaiagents.ui.a2ui.extension import A2UI_MIME_TYPE
-        
-        assert A2UI_MIME_TYPE == "application/json+a2ui"
-
-    def test_a2ui_extension_uri(self):
-        """Test A2UI extension URI constant."""
-        from praisonaiagents.ui.a2ui.extension import A2UI_EXTENSION_URI
-        
-        assert "a2ui" in A2UI_EXTENSION_URI.lower()
-
-    def test_create_a2ui_part(self):
-        """Test create_a2ui_part wraps A2UI data in A2A DataPart."""
-        from praisonaiagents.ui.a2ui.extension import create_a2ui_part, A2UI_MIME_TYPE
-        
-        a2ui_data = {
-            "createSurface": {
-                "surfaceId": "main",
-                "catalogId": "https://a2ui.dev/standard"
-            }
-        }
-        
-        part = create_a2ui_part(a2ui_data)
-        
-        # Should return a Part with DataPart root
-        assert part is not None
-        assert hasattr(part, 'data')
-        assert part.data == a2ui_data
-        assert part.metadata is not None
-        assert part.metadata.get("mimeType") == A2UI_MIME_TYPE
-
-    def test_is_a2ui_part_true(self):
-        """Test is_a2ui_part returns True for A2UI parts."""
-        from praisonaiagents.ui.a2ui.extension import create_a2ui_part, is_a2ui_part
-        
-        a2ui_data = {"createSurface": {"surfaceId": "main", "catalogId": "test"}}
-        part = create_a2ui_part(a2ui_data)
-        
-        assert is_a2ui_part(part) is True
-
-    def test_is_a2ui_part_false(self):
-        """Test is_a2ui_part returns False for non-A2UI parts."""
-        from praisonaiagents.ui.a2ui.extension import is_a2ui_part
-        from praisonaiagents.ui.a2ui.types import A2UIDataPart
-        
-        # Create a regular data part without A2UI mime type
-        part = A2UIDataPart(data={"foo": "bar"}, metadata={"mimeType": "application/json"})
-        
-        assert is_a2ui_part(part) is False
-
-    def test_get_a2ui_agent_extension(self):
-        """Test get_a2ui_agent_extension returns AgentExtension config."""
-        from praisonaiagents.ui.a2ui.extension import get_a2ui_agent_extension
-        
-        ext = get_a2ui_agent_extension()
-        
-        assert ext is not None
-        assert hasattr(ext, 'uri')
-        assert "a2ui" in ext.uri.lower()
-        assert hasattr(ext, 'description')
-
-    def test_get_a2ui_agent_extension_with_inline_catalog(self):
-        """Test get_a2ui_agent_extension with inline catalog support."""
-        from praisonaiagents.ui.a2ui.extension import get_a2ui_agent_extension
-        
-        ext = get_a2ui_agent_extension(accepts_inline_custom_catalog=True)
-        
-        assert ext.params is not None
-        assert ext.params.get("acceptsInlineCustomCatalog") is True
-
-    def test_standard_catalog_id(self):
-        """Test standard catalog ID constant."""
-        from praisonaiagents.ui.a2ui.extension import STANDARD_CATALOG_ID
-        
-        assert "standard_catalog" in STANDARD_CATALOG_ID.lower() or "a2ui" in STANDARD_CATALOG_ID.lower()
-
-
-class TestA2UIDataPart:
-    """Test A2UI DataPart type."""
-
-    def test_a2ui_data_part_creation(self):
-        """Test A2UIDataPart creation."""
-        from praisonaiagents.ui.a2ui.types import A2UIDataPart
-        
-        part = A2UIDataPart(
-            data={"test": "value"},
-            metadata={"mimeType": "application/json+a2ui"}
-        )
-        
-        assert part.data == {"test": "value"}
-        assert part.metadata["mimeType"] == "application/json+a2ui"
-
-    def test_a2ui_data_part_to_dict(self):
-        """Test A2UIDataPart serialization."""
-        from praisonaiagents.ui.a2ui.types import A2UIDataPart
-        
-        part = A2UIDataPart(
-            data={"createSurface": {"surfaceId": "main"}},
-            metadata={"mimeType": "application/json+a2ui"}
-        )
-        
-        data = part.to_dict()
-        assert "data" in data
-        assert "metadata" in data

src/praisonai-agents/tests/a2ui/test_integration.py

@@ -1,225 +0,0 @@
-"""
-End-to-End Integration Tests for A2UI
-
-Tests the complete A2UI workflow from agent to JSON output.
-"""
-
-import json
-import os
-import pytest
-
-
-class TestA2UIEndToEnd:
-    """End-to-end integration tests."""
-
-    def test_complete_surface_workflow(self):
-        """Test complete workflow: create surface, add components, generate JSON."""
-        from praisonaiagents.ui.a2ui import (
-            Surface,
-            PathBinding,
-        )
-        
-        # Create surface
-        surface = Surface(surface_id="test-surface")
-        
-        # Add components using fluent API
-        surface.text(id="title", text="Welcome", usage_hint="h1")
-        surface.text(id="subtitle", text=PathBinding(path="/subtitle"), usage_hint="h2")
-        surface.button(
-            id="action-btn",
-            child="btn-text",
-            action_name="do_action",
-            action_context=[{"key": "id", "value": "123"}],
-            primary=True
-        )
-        surface.text(id="btn-text", text="Click Me")
-        surface.column(id="root", children=["title", "subtitle", "action-btn"])
-        
-        # Set data
-        surface.set_data("subtitle", "Hello World")
-        
-        # Generate messages
-        messages = surface.to_messages()
-        
-        # Verify structure
-        assert len(messages) == 3  # createSurface, updateComponents, updateDataModel
-        
-        # Verify createSurface
-        assert "createSurface" in messages[0]
-        assert messages[0]["createSurface"]["surfaceId"] == "test-surface"
-        
-        # Verify updateComponents
-        assert "updateComponents" in messages[1]
-        components = messages[1]["updateComponents"]["components"]
-        assert len(components) == 5  # title, subtitle, btn, btn-text, root
-        
-        # Verify updateDataModel
-        assert "updateDataModel" in messages[2]
-        assert messages[2]["updateDataModel"]["value"]["subtitle"] == "Hello World"
-        
-        # Verify JSON output
-        json_str = surface.to_json()
-        parsed = json.loads(json_str)
-        assert len(parsed) == 3
-
-    def test_a2ui_agent_render_workflow(self):
-        """Test A2UIAgent rendering workflow."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui import A2UIAgent
-        
-        agent = Agent(
-            name="TestAgent",
-            role="Test assistant",
-            goal="Help with testing"
-        )
-        
-        a2ui_agent = A2UIAgent(agent=agent, surface_id="agent-surface")
-        
-        # Render text
-        messages = a2ui_agent.render_text(
-            text="This is a test response",
-            title="Test Title"
-        )
-        
-        # Verify structure
-        assert len(messages) >= 2
-        assert "createSurface" in messages[0]
-        
-        # Verify JSON export
-        json_str = a2ui_agent.to_json()
-        parsed = json.loads(json_str)
-        assert isinstance(parsed, list)
-
-    def test_template_workflow(self):
-        """Test template-based workflow."""
-        from praisonaiagents.ui.a2ui import (
-            ChatTemplate,
-            ListTemplate,
-            FormTemplate,
-            DashboardTemplate,
-        )
-        
-        # Chat template
-        chat = ChatTemplate(surface_id="chat")
-        chat.add_user_message("Hello!")
-        chat.add_agent_message("Hi there!")
-        chat_messages = chat.to_messages()
-        assert len(chat_messages) >= 2
-        
-        # List template
-        list_template = ListTemplate(surface_id="list", title="Items")
-        list_template.add_item(title="Item 1", description="First")
-        list_template.add_item(title="Item 2", description="Second")
-        list_messages = list_template.to_messages()
-        assert len(list_messages) >= 2
-        
-        # Form template
-        form = FormTemplate(surface_id="form", title="Contact")
-        form.add_text_field(id="name", label="Name")
-        form.add_email_field(id="email", label="Email")
-        form.set_submit_action("submit", "Send")
-        form_messages = form.to_messages()
-        assert len(form_messages) >= 2
-        
-        # Dashboard template
-        dashboard = DashboardTemplate(surface_id="dashboard", title="Dashboard")
-        dashboard.add_panel(id="stats", title="Stats", content="100 items")
-        dashboard.add_panel(id="chart", title="Chart", content="[Chart]")
-        dashboard_messages = dashboard.to_messages()
-        assert len(dashboard_messages) >= 2
-
-    def test_a2a_integration(self):
-        """Test A2A protocol integration."""
-        from praisonaiagents.ui.a2ui import (
-            Surface,
-            create_a2ui_part,
-            is_a2ui_part,
-            A2UI_MIME_TYPE,
-        )
-        
-        # Create surface
-        surface = Surface(surface_id="a2a-test")
-        surface.text(id="msg", text="Hello from A2A")
-        surface.column(id="root", children=["msg"])
-        
-        # Get messages
-        messages = surface.to_messages()
-        
-        # Wrap in A2A DataPart
-        part = create_a2ui_part({"messages": messages})
-        
-        # Verify A2UI part
-        assert is_a2ui_part(part)
-        assert part.metadata["mimeType"] == A2UI_MIME_TYPE
-        assert "messages" in part.data
-        assert len(part.data["messages"]) >= 2
-
-    def test_data_binding_workflow(self):
-        """Test data binding with path references."""
-        from praisonaiagents.ui.a2ui import (
-            Surface,
-            PathBinding,
-            ChildrenTemplate,
-        )
-        
-        surface = Surface(surface_id="data-binding-test")
-        
-        # Add components with data binding
-        surface.text(id="title", text=PathBinding(path="/title"), usage_hint="h1")
-        surface.text(id="item-template", text=PathBinding(path="/name"))
-        
-        # Add list with template
-        surface.list(
-            id="items",
-            children=ChildrenTemplate(component_id="item-template", path="/items"),
-            direction="vertical"
-        )
-        
-        surface.column(id="root", children=["title", "items"])
-        
-        # Set data
-        surface.set_data("title", "My List")
-        surface.set_data("items", [
-            {"name": "Item 1"},
-            {"name": "Item 2"},
-            {"name": "Item 3"},
-        ])
-        
-        messages = surface.to_messages()
-        
-        # Verify data model
-        data_msg = next((m for m in messages if "updateDataModel" in m), None)
-        assert data_msg is not None
-        assert data_msg["updateDataModel"]["value"]["title"] == "My List"
-        assert len(data_msg["updateDataModel"]["value"]["items"]) == 3
-
-
-@pytest.mark.skipif(
-    not os.environ.get("OPENAI_API_KEY"),
-    reason="OPENAI_API_KEY not set"
-)
-class TestA2UIWithLLM:
-    """Tests that require LLM API calls."""
-
-    def test_agent_chat_and_render(self):
-        """Test agent chat followed by UI rendering."""
-        from praisonaiagents import Agent
-        from praisonaiagents.ui.a2ui import A2UIAgent
-        
-        agent = Agent(
-            name="UIAgent",
-            role="UI Generator",
-            goal="Generate helpful responses",
-            llm="gpt-4o-mini"
-        )
-        
-        a2ui_agent = A2UIAgent(agent=agent)
-        
-        # Chat with agent
-        response = a2ui_agent.chat("What is 2+2?")
-        
-        # Render response as UI
-        messages = a2ui_agent.render_text(response, title="Answer")
-        
-        assert len(messages) >= 2
-        assert "createSurface" in messages[0]

src/praisonai-agents/tests/a2ui/test_surface.py

@@ -1,228 +0,0 @@
-"""
-Tests for A2UI Surface Builder
-
-TDD: Write tests first, then implement the Surface class.
-"""
-
-
-class TestSurface:
-    """Test Surface builder class."""
-
-    def test_surface_creation(self):
-        """Test Surface creation with ID and catalog."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        
-        assert surface.surface_id == "main"
-        assert surface.catalog_id is not None  # Should have default
-
-    def test_surface_with_custom_catalog(self):
-        """Test Surface with custom catalog ID."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(
-            surface_id="main",
-            catalog_id="https://custom.catalog/v1"
-        )
-        
-        assert surface.catalog_id == "https://custom.catalog/v1"
-
-    def test_add_component(self):
-        """Test adding a component to the surface."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        
-        surface = Surface(surface_id="main")
-        text = TextComponent(id="title", text="Hello World", usage_hint="h1")
-        
-        surface.add(text)
-        
-        assert len(surface.components) == 1
-        assert surface.components[0].id == "title"
-
-    def test_add_multiple_components(self):
-        """Test adding multiple components."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent, ButtonComponent
-        
-        surface = Surface(surface_id="main")
-        surface.add(TextComponent(id="title", text="Hello"))
-        surface.add(ButtonComponent(id="btn", child="btn-text"))
-        
-        assert len(surface.components) == 2
-
-    def test_set_data(self):
-        """Test setting data model values."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.set_data("title", "Hello World")
-        surface.set_data("count", 42)
-        
-        assert surface.data["title"] == "Hello World"
-        assert surface.data["count"] == 42
-
-    def test_set_nested_data(self):
-        """Test setting nested data model values."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.set_data("user", {"name": "John", "age": 30})
-        
-        assert surface.data["user"]["name"] == "John"
-
-    def test_to_messages_creates_surface(self):
-        """Test to_messages generates CreateSurface message."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        
-        surface = Surface(surface_id="main")
-        surface.add(TextComponent(id="title", text="Hello"))
-        
-        messages = surface.to_messages()
-        
-        assert len(messages) >= 1
-        assert "createSurface" in messages[0]
-        assert messages[0]["createSurface"]["surfaceId"] == "main"
-
-    def test_to_messages_includes_components(self):
-        """Test to_messages includes UpdateComponents message."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        
-        surface = Surface(surface_id="main")
-        surface.add(TextComponent(id="title", text="Hello"))
-        
-        messages = surface.to_messages()
-        
-        # Should have createSurface and updateComponents
-        assert len(messages) >= 2
-        update_msg = next((m for m in messages if "updateComponents" in m), None)
-        assert update_msg is not None
-        assert len(update_msg["updateComponents"]["components"]) == 1
-
-    def test_to_messages_includes_data_model(self):
-        """Test to_messages includes UpdateDataModel message when data is set."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        
-        surface = Surface(surface_id="main")
-        surface.add(TextComponent(id="title", text="Hello"))
-        surface.set_data("title", "Hello World")
-        
-        messages = surface.to_messages()
-        
-        # Should have createSurface, updateComponents, and updateDataModel
-        assert len(messages) == 3
-        data_msg = next((m for m in messages if "updateDataModel" in m), None)
-        assert data_msg is not None
-        assert data_msg["updateDataModel"]["value"]["title"] == "Hello World"
-
-    def test_to_json(self):
-        """Test to_json returns JSON string."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        import json
-        
-        surface = Surface(surface_id="main")
-        surface.add(TextComponent(id="title", text="Hello"))
-        
-        json_str = surface.to_json()
-        
-        # Should be valid JSON
-        parsed = json.loads(json_str)
-        assert isinstance(parsed, list)
-        assert len(parsed) >= 2
-
-
-class TestSurfaceChaining:
-    """Test Surface method chaining."""
-
-    def test_add_returns_self(self):
-        """Test add() returns self for chaining."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        
-        surface = Surface(surface_id="main")
-        result = surface.add(TextComponent(id="title", text="Hello"))
-        
-        assert result is surface
-
-    def test_set_data_returns_self(self):
-        """Test set_data() returns self for chaining."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        result = surface.set_data("key", "value")
-        
-        assert result is surface
-
-    def test_fluent_api(self):
-        """Test fluent API for building surfaces."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        from praisonaiagents.ui.a2ui.types import TextComponent, ButtonComponent
-        
-        surface = (
-            Surface(surface_id="main")
-            .add(TextComponent(id="title", text="Hello"))
-            .add(ButtonComponent(id="btn", child="btn-text"))
-            .set_data("title", "Hello World")
-        )
-        
-        assert len(surface.components) == 2
-        assert surface.data["title"] == "Hello World"
-
-
-class TestSurfaceHelpers:
-    """Test Surface helper methods."""
-
-    def test_text_helper(self):
-        """Test text() helper method."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.text(id="title", text="Hello", usage_hint="h1")
-        
-        assert len(surface.components) == 1
-        assert surface.components[0].id == "title"
-
-    def test_button_helper(self):
-        """Test button() helper method."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.button(id="submit", child="submit-text", action_name="submit")
-        
-        assert len(surface.components) == 1
-        assert surface.components[0].id == "submit"
-
-    def test_card_helper(self):
-        """Test card() helper method."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.card(id="card-1", child="card-content")
-        
-        assert len(surface.components) == 1
-        assert surface.components[0].id == "card-1"
-
-    def test_row_helper(self):
-        """Test row() helper method."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.row(id="row-1", children=["col-1", "col-2"])
-        
-        assert len(surface.components) == 1
-        assert surface.components[0].id == "row-1"
-
-    def test_column_helper(self):
-        """Test column() helper method."""
-        from praisonaiagents.ui.a2ui.surface import Surface
-        
-        surface = Surface(surface_id="main")
-        surface.column(id="col-1", children=["item-1", "item-2"])
-        
-        assert len(surface.components) == 1
-        assert surface.components[0].id == "col-1"

src/praisonai-agents/tests/a2ui/test_templates.py

@@ -1,210 +0,0 @@
-"""
-Tests for A2UI Templates
-
-TDD: Write tests first, then implement the templates.
-"""
-
-
-class TestChatTemplate:
-    """Test ChatTemplate for conversational UIs."""
-
-    def test_chat_template_creation(self):
-        """Test ChatTemplate creation."""
-        from praisonaiagents.ui.a2ui.templates import ChatTemplate
-        
-        template = ChatTemplate(surface_id="chat")
-        
-        assert template.surface_id == "chat"
-
-    def test_add_user_message(self):
-        """Test adding a user message."""
-        from praisonaiagents.ui.a2ui.templates import ChatTemplate
-        
-        template = ChatTemplate(surface_id="chat")
-        template.add_user_message("Hello!")
-        
-        assert len(template.messages) == 1
-        assert template.messages[0]["role"] == "user"
-        assert template.messages[0]["content"] == "Hello!"
-
-    def test_add_agent_message(self):
-        """Test adding an agent message."""
-        from praisonaiagents.ui.a2ui.templates import ChatTemplate
-        
-        template = ChatTemplate(surface_id="chat")
-        template.add_agent_message("Hi there!")
-        
-        assert len(template.messages) == 1
-        assert template.messages[0]["role"] == "agent"
-
-    def test_to_messages(self):
-        """Test generating A2UI messages."""
-        from praisonaiagents.ui.a2ui.templates import ChatTemplate
-        
-        template = ChatTemplate(surface_id="chat")
-        template.add_user_message("Hello!")
-        template.add_agent_message("Hi there!")
-        
-        messages = template.to_messages()
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2  # createSurface + updateComponents
-
-
-class TestListTemplate:
-    """Test ListTemplate for displaying lists of items."""
-
-    def test_list_template_creation(self):
-        """Test ListTemplate creation."""
-        from praisonaiagents.ui.a2ui.templates import ListTemplate
-        
-        template = ListTemplate(
-            surface_id="list",
-            title="My Items"
-        )
-        
-        assert template.surface_id == "list"
-        assert template.title == "My Items"
-
-    def test_add_item(self):
-        """Test adding an item to the list."""
-        from praisonaiagents.ui.a2ui.templates import ListTemplate
-        
-        template = ListTemplate(surface_id="list", title="Items")
-        template.add_item(title="Item 1", description="First item")
-        
-        assert len(template.items) == 1
-        assert template.items[0]["title"] == "Item 1"
-
-    def test_add_item_with_image(self):
-        """Test adding an item with an image."""
-        from praisonaiagents.ui.a2ui.templates import ListTemplate
-        
-        template = ListTemplate(surface_id="list", title="Items")
-        template.add_item(
-            title="Item 1",
-            description="First item",
-            image_url="https://example.com/image.jpg"
-        )
-        
-        assert template.items[0]["image_url"] == "https://example.com/image.jpg"
-
-    def test_to_messages(self):
-        """Test generating A2UI messages."""
-        from praisonaiagents.ui.a2ui.templates import ListTemplate
-        
-        template = ListTemplate(surface_id="list", title="Items")
-        template.add_item(title="Item 1", description="First")
-        template.add_item(title="Item 2", description="Second")
-        
-        messages = template.to_messages()
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2
-
-
-class TestFormTemplate:
-    """Test FormTemplate for data collection forms."""
-
-    def test_form_template_creation(self):
-        """Test FormTemplate creation."""
-        from praisonaiagents.ui.a2ui.templates import FormTemplate
-        
-        template = FormTemplate(
-            surface_id="form",
-            title="Contact Form"
-        )
-        
-        assert template.surface_id == "form"
-        assert template.title == "Contact Form"
-
-    def test_add_text_field(self):
-        """Test adding a text field."""
-        from praisonaiagents.ui.a2ui.templates import FormTemplate
-        
-        template = FormTemplate(surface_id="form", title="Form")
-        template.add_text_field(id="name", label="Name")
-        
-        assert len(template.fields) == 1
-        assert template.fields[0]["id"] == "name"
-        assert template.fields[0]["type"] == "text"
-
-    def test_add_number_field(self):
-        """Test adding a number field."""
-        from praisonaiagents.ui.a2ui.templates import FormTemplate
-        
-        template = FormTemplate(surface_id="form", title="Form")
-        template.add_number_field(id="age", label="Age")
-        
-        assert template.fields[0]["type"] == "number"
-
-    def test_add_email_field(self):
-        """Test adding an email field."""
-        from praisonaiagents.ui.a2ui.templates import FormTemplate
-        
-        template = FormTemplate(surface_id="form", title="Form")
-        template.add_email_field(id="email", label="Email")
-        
-        assert template.fields[0]["type"] == "email"
-
-    def test_set_submit_action(self):
-        """Test setting submit action."""
-        from praisonaiagents.ui.a2ui.templates import FormTemplate
-        
-        template = FormTemplate(surface_id="form", title="Form")
-        template.set_submit_action("submit_form", "Send")
-        
-        assert template.submit_action == "submit_form"
-        assert template.submit_label == "Send"
-
-    def test_to_messages(self):
-        """Test generating A2UI messages."""
-        from praisonaiagents.ui.a2ui.templates import FormTemplate
-        
-        template = FormTemplate(surface_id="form", title="Form")
-        template.add_text_field(id="name", label="Name")
-        template.add_email_field(id="email", label="Email")
-        
-        messages = template.to_messages()
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2
-
-
-class TestDashboardTemplate:
-    """Test DashboardTemplate for multi-panel dashboards."""
-
-    def test_dashboard_template_creation(self):
-        """Test DashboardTemplate creation."""
-        from praisonaiagents.ui.a2ui.templates import DashboardTemplate
-        
-        template = DashboardTemplate(
-            surface_id="dashboard",
-            title="My Dashboard"
-        )
-        
-        assert template.surface_id == "dashboard"
-        assert template.title == "My Dashboard"
-
-    def test_add_panel(self):
-        """Test adding a panel."""
-        from praisonaiagents.ui.a2ui.templates import DashboardTemplate
-        
-        template = DashboardTemplate(surface_id="dashboard", title="Dashboard")
-        template.add_panel(id="panel-1", title="Panel 1", content="Some content")
-        
-        assert len(template.panels) == 1
-        assert template.panels[0]["id"] == "panel-1"
-
-    def test_to_messages(self):
-        """Test generating A2UI messages."""
-        from praisonaiagents.ui.a2ui.templates import DashboardTemplate
-        
-        template = DashboardTemplate(surface_id="dashboard", title="Dashboard")
-        template.add_panel(id="panel-1", title="Panel 1", content="Content 1")
-        template.add_panel(id="panel-2", title="Panel 2", content="Content 2")
-        
-        messages = template.to_messages()
-        
-        assert isinstance(messages, list)
-        assert len(messages) >= 2

src/praisonai-agents/tests/a2ui/test_types.py

@@ -1,318 +0,0 @@
-"""
-Tests for A2UI Types Module
-
-TDD: Write tests first, then implement the types.
-"""
-
-
-
-class TestA2UIMessageTypes:
-    """Test A2UI message types: CreateSurface, UpdateComponents, UpdateDataModel, DeleteSurface."""
-
-    def test_create_surface_message(self):
-        """Test CreateSurface message creation."""
-        from praisonaiagents.ui.a2ui.types import CreateSurfaceMessage
-        
-        msg = CreateSurfaceMessage(
-            surface_id="main",
-            catalog_id="https://a2ui.dev/standard"
-        )
-        
-        assert msg.surface_id == "main"
-        assert msg.catalog_id == "https://a2ui.dev/standard"
-        
-        # Test serialization
-        data = msg.to_dict()
-        assert "createSurface" in data
-        assert data["createSurface"]["surfaceId"] == "main"
-        assert data["createSurface"]["catalogId"] == "https://a2ui.dev/standard"
-
-    def test_update_components_message(self):
-        """Test UpdateComponents message creation."""
-        from praisonaiagents.ui.a2ui.types import UpdateComponentsMessage, TextComponent
-        
-        text = TextComponent(id="title", text="Hello World", usage_hint="h1")
-        msg = UpdateComponentsMessage(
-            surface_id="main",
-            components=[text]
-        )
-        
-        assert msg.surface_id == "main"
-        assert len(msg.components) == 1
-        
-        # Test serialization
-        data = msg.to_dict()
-        assert "updateComponents" in data
-        assert data["updateComponents"]["surfaceId"] == "main"
-        assert len(data["updateComponents"]["components"]) == 1
-
-    def test_update_data_model_message(self):
-        """Test UpdateDataModel message creation."""
-        from praisonaiagents.ui.a2ui.types import UpdateDataModelMessage
-        
-        msg = UpdateDataModelMessage(
-            surface_id="main",
-            path="/",
-            op="replace",
-            value={"title": "Hello", "items": []}
-        )
-        
-        assert msg.surface_id == "main"
-        assert msg.path == "/"
-        assert msg.op == "replace"
-        assert msg.value == {"title": "Hello", "items": []}
-        
-        # Test serialization
-        data = msg.to_dict()
-        assert "updateDataModel" in data
-        assert data["updateDataModel"]["surfaceId"] == "main"
-
-    def test_delete_surface_message(self):
-        """Test DeleteSurface message creation."""
-        from praisonaiagents.ui.a2ui.types import DeleteSurfaceMessage
-        
-        msg = DeleteSurfaceMessage(surface_id="main")
-        
-        assert msg.surface_id == "main"
-        
-        # Test serialization
-        data = msg.to_dict()
-        assert "deleteSurface" in data
-        assert data["deleteSurface"]["surfaceId"] == "main"
-
-
-class TestA2UIComponentTypes:
-    """Test A2UI component types."""
-
-    def test_text_component(self):
-        """Test Text component creation."""
-        from praisonaiagents.ui.a2ui.types import TextComponent
-        
-        text = TextComponent(id="title", text="Hello World", usage_hint="h1")
-        
-        assert text.id == "title"
-        assert text.text == "Hello World"
-        assert text.usage_hint == "h1"
-        
-        # Test serialization
-        data = text.to_dict()
-        assert data["id"] == "title"
-        assert data["component"] == "Text"
-        assert data["text"] == "Hello World"
-        assert data["usageHint"] == "h1"
-
-    def test_text_component_with_path(self):
-        """Test Text component with data binding path."""
-        from praisonaiagents.ui.a2ui.types import TextComponent, PathBinding
-        
-        text = TextComponent(id="title", text=PathBinding(path="/title"))
-        
-        data = text.to_dict()
-        assert data["text"] == {"path": "/title"}
-
-    def test_image_component(self):
-        """Test Image component creation."""
-        from praisonaiagents.ui.a2ui.types import ImageComponent
-        
-        img = ImageComponent(
-            id="hero",
-            url="https://example.com/image.jpg",
-            fit="cover",
-            usage_hint="header"
-        )
-        
-        assert img.id == "hero"
-        assert img.url == "https://example.com/image.jpg"
-        assert img.fit == "cover"
-        
-        data = img.to_dict()
-        assert data["component"] == "Image"
-        assert data["url"] == "https://example.com/image.jpg"
-
-    def test_button_component(self):
-        """Test Button component creation."""
-        from praisonaiagents.ui.a2ui.types import ButtonComponent, Action, ActionContext
-        
-        action = Action(
-            name="submit",
-            context=[
-                ActionContext(key="value", value="test")
-            ]
-        )
-        btn = ButtonComponent(
-            id="submit-btn",
-            child="submit-text",
-            primary=True,
-            action=action
-        )
-        
-        assert btn.id == "submit-btn"
-        assert btn.child == "submit-text"
-        assert btn.primary is True
-        
-        data = btn.to_dict()
-        assert data["component"] == "Button"
-        assert data["action"]["name"] == "submit"
-
-    def test_card_component(self):
-        """Test Card component creation."""
-        from praisonaiagents.ui.a2ui.types import CardComponent
-        
-        card = CardComponent(id="card-1", child="card-content")
-        
-        assert card.id == "card-1"
-        assert card.child == "card-content"
-        
-        data = card.to_dict()
-        assert data["component"] == "Card"
-        assert data["child"] == "card-content"
-
-    def test_row_component(self):
-        """Test Row component creation."""
-        from praisonaiagents.ui.a2ui.types import RowComponent
-        
-        row = RowComponent(id="row-1", children=["col-1", "col-2"])
-        
-        assert row.id == "row-1"
-        assert row.children == ["col-1", "col-2"]
-        
-        data = row.to_dict()
-        assert data["component"] == "Row"
-        assert data["children"] == ["col-1", "col-2"]
-
-    def test_column_component(self):
-        """Test Column component creation."""
-        from praisonaiagents.ui.a2ui.types import ColumnComponent
-        
-        col = ColumnComponent(id="col-1", children=["item-1", "item-2"])
-        
-        assert col.id == "col-1"
-        assert col.children == ["item-1", "item-2"]
-        
-        data = col.to_dict()
-        assert data["component"] == "Column"
-
-    def test_list_component(self):
-        """Test List component creation."""
-        from praisonaiagents.ui.a2ui.types import ListComponent, ChildrenTemplate
-        
-        template = ChildrenTemplate(component_id="item-template", path="/items")
-        lst = ListComponent(id="item-list", direction="vertical", children=template)
-        
-        assert lst.id == "item-list"
-        assert lst.direction == "vertical"
-        
-        data = lst.to_dict()
-        assert data["component"] == "List"
-        assert data["children"]["componentId"] == "item-template"
-        assert data["children"]["path"] == "/items"
-
-    def test_text_field_component(self):
-        """Test TextField component creation."""
-        from praisonaiagents.ui.a2ui.types import TextFieldComponent, PathBinding
-        
-        field = TextFieldComponent(
-            id="name-field",
-            label="Name",
-            text=PathBinding(path="/name"),
-            field_type="text"
-        )
-        
-        assert field.id == "name-field"
-        assert field.label == "Name"
-        
-        data = field.to_dict()
-        assert data["component"] == "TextField"
-        assert data["label"] == "Name"
-        assert data["text"] == {"path": "/name"}
-
-    def test_checkbox_component(self):
-        """Test CheckBox component creation."""
-        from praisonaiagents.ui.a2ui.types import CheckBoxComponent, PathBinding
-        
-        cb = CheckBoxComponent(
-            id="agree-cb",
-            label="I agree",
-            checked=PathBinding(path="/agreed")
-        )
-        
-        data = cb.to_dict()
-        assert data["component"] == "CheckBox"
-        assert data["label"] == "I agree"
-
-    def test_slider_component(self):
-        """Test Slider component creation."""
-        from praisonaiagents.ui.a2ui.types import SliderComponent
-        
-        slider = SliderComponent(
-            id="volume",
-            min_value=0,
-            max_value=100,
-            value=50
-        )
-        
-        data = slider.to_dict()
-        assert data["component"] == "Slider"
-        assert data["min"] == 0
-        assert data["max"] == 100
-
-
-class TestDataBindingTypes:
-    """Test data binding types."""
-
-    def test_path_binding(self):
-        """Test PathBinding for data model references."""
-        from praisonaiagents.ui.a2ui.types import PathBinding
-        
-        path = PathBinding(path="/user/name")
-        
-        assert path.path == "/user/name"
-        assert path.to_dict() == {"path": "/user/name"}
-
-    def test_string_or_path_literal(self):
-        """Test StringOrPath with literal string."""
-        from praisonaiagents.ui.a2ui.types import resolve_string_or_path
-        
-        result = resolve_string_or_path("Hello")
-        assert result == "Hello"
-
-    def test_string_or_path_binding(self):
-        """Test StringOrPath with path binding."""
-        from praisonaiagents.ui.a2ui.types import resolve_string_or_path, PathBinding
-        
-        result = resolve_string_or_path(PathBinding(path="/title"))
-        assert result == {"path": "/title"}
-
-
-class TestActionTypes:
-    """Test action types for button events."""
-
-    def test_action_creation(self):
-        """Test Action creation."""
-        from praisonaiagents.ui.a2ui.types import Action, ActionContext
-        
-        action = Action(
-            name="book_restaurant",
-            context=[
-                ActionContext(key="restaurantName", value="The Fancy Place"),
-                ActionContext(key="address", value="123 Main St")
-            ]
-        )
-        
-        assert action.name == "book_restaurant"
-        assert len(action.context) == 2
-        
-        data = action.to_dict()
-        assert data["name"] == "book_restaurant"
-        assert len(data["context"]) == 2
-        assert data["context"][0]["key"] == "restaurantName"
-
-    def test_action_context_with_path(self):
-        """Test ActionContext with path binding."""
-        from praisonaiagents.ui.a2ui.types import ActionContext, PathBinding
-        
-        ctx = ActionContext(key="name", value=PathBinding(path="/restaurant/name"))
-        
-        data = ctx.to_dict()
-        assert data["key"] == "name"
-        assert data["value"] == {"path": "/restaurant/name"}

src/praisonai-agents/tests/agui/test_streaming.py

@@ -98,6 +98,38 @@ class TestToolCallStreaming:
         assert event.content == "Search results..."
 
 
+class TestStreamEventBridge:
+    """Test PraisonAI stream_emitter → AG-UI event conversion."""
+
+    def test_delta_text_to_agui(self):
+        from praisonaiagents.streaming.events import StreamEvent, StreamEventType
+        from praisonaiagents.ui.agui.streaming import EventBuffer, stream_event_to_agui_events
+
+        buffer = EventBuffer()
+        event = StreamEvent(type=StreamEventType.DELTA_TEXT, content="Hello")
+        agui_events = stream_event_to_agui_events(event, "msg-1", buffer)
+
+        assert len(agui_events) == 2
+        assert agui_events[0].type == "TEXT_MESSAGE_START"
+        assert agui_events[1].type == "TEXT_MESSAGE_CONTENT"
+        assert agui_events[1].delta == "Hello"
+
+    def test_tool_call_start_to_agui(self):
+        from praisonaiagents.streaming.events import StreamEvent, StreamEventType
+        from praisonaiagents.ui.agui.streaming import EventBuffer, stream_event_to_agui_events
+
+        buffer = EventBuffer()
+        event = StreamEvent(
+            type=StreamEventType.TOOL_CALL_START,
+            tool_call={"id": "tc-1", "name": "search", "arguments": {"q": "test"}},
+        )
+        agui_events = stream_event_to_agui_events(event, "msg-1", buffer)
+
+        assert len(agui_events) == 3
+        assert agui_events[0].type == "TOOL_CALL_START"
+        assert agui_events[0].tool_call_name == "search"
+
+
 class TestRunLifecycleEvents:
     """Test run lifecycle events."""
     

src/praisonai-agents/tests/integration/test_allowed_tools_filter_integration.py

@@ -0,0 +1,328 @@
+"""Integration tests for the ALLOWED_TOOLS filter module."""
+import os
+import pytest
+from unittest.mock import patch, MagicMock
+from praisonai.cli.features.agents import MultiAgentHandler
+
+
+class TestAllowedToolsFilterRegistryIntegration:
+    """Integration tests for ALLOWED_TOOLS filter with the tool registry."""
+    
+    def test_registry_allowed_filter_unset(self):
+        """Test registry filter behavior when ALLOWED_TOOLS is unset."""
+        from praisonaiagents.tools.registry import get_registry
+        
+        with patch.dict(os.environ, {}, clear=True):
+            registry = get_registry()
+            
+            # Mock some tools in the registry
+            with patch.object(registry, 'list_tools', return_value=['search_web', 'send_email']):
+                filtered_tools = registry.list_tools_with_allowed_filter()
+                
+                # Should return all tools when unset
+                assert set(filtered_tools) == {'search_web', 'send_email'}
+    
+    def test_registry_allowed_filter_with_whitelist(self):
+        """Test registry filter with ALLOWED_TOOLS whitelist."""
+        from praisonaiagents.tools.registry import get_registry
+        
+        with patch.dict(os.environ, {
+            "ALLOWED_TOOLS": "search_web,send_email,unknown_tool",
+            "CI": "false",
+        }):
+            registry = get_registry()
+            
+            # Mock some tools in the registry
+            with patch.object(registry, 'list_tools', return_value=['search_web', 'send_email', 'extract_pdf']):
+                filtered_tools = registry.list_tools_with_allowed_filter()
+                
+                # Should only include whitelisted tools that are available
+                assert set(filtered_tools) == {'search_web', 'send_email'}
+    
+    def test_registry_allowed_filter_empty_result(self):
+        """Test registry filter when no tools match whitelist."""
+        from praisonaiagents.tools.registry import get_registry
+        
+        with patch.dict(os.environ, {
+            "ALLOWED_TOOLS": "nonexistent_tool1,nonexistent_tool2",
+            "CI": "false",
+        }):
+            registry = get_registry()
+            
+            # Mock some tools in the registry
+            with patch.object(registry, 'list_tools', return_value=['search_web', 'send_email']):
+                filtered_tools = registry.list_tools_with_allowed_filter()
+                
+                # Should return empty list when no matches
+                assert filtered_tools == []
+    
+    def test_registry_allowed_filter_import_error_fallback(self):
+        """Test registry filter fallback when import fails."""
+        from praisonaiagents.tools.registry import get_registry
+        
+        registry = get_registry()
+        
+        with patch.object(registry, 'list_tools', return_value=['search_web', 'send_email']):
+            # Mock import error for the filter
+            with patch('praisonaiagents.tools.registry.filter_tools_with_allowed_tools', side_effect=ImportError("Filter not available")):
+                filtered_tools = registry.list_tools_with_allowed_filter()
+                
+                # Should fallback to all tools
+                assert set(filtered_tools) == {'search_web', 'send_email'}
+    
+    def test_registry_allowed_filter_value_error_propagation(self):
+        """Test that ValueError from filter is properly propagated."""
+        from praisonaiagents.tools.registry import get_registry
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": ""}):  # Empty string should cause ValueError
+            registry = get_registry()
+            
+            with patch.object(registry, 'list_tools', return_value=['search_web', 'send_email']):
+                with pytest.raises(ValueError, match="cannot be empty"):
+                    registry.list_tools_with_allowed_filter()
+    
+    def test_registry_allowed_filter_general_error_fallback(self):
+        """Test registry filter fallback on general errors."""
+        from praisonaiagents.tools.registry import get_registry
+        
+        registry = get_registry()
+        
+        with patch.object(registry, 'list_tools', return_value=['search_web', 'send_email']):
+            # Mock a generic error during filtering
+            with patch('praisonaiagents.tools.registry.filter_tools_with_allowed_tools', side_effect=RuntimeError("Some error")):
+                filtered_tools = registry.list_tools_with_allowed_filter()
+                
+                # Should fallback to all tools on general errors
+                assert set(filtered_tools) == {'search_web', 'send_email'}
+
+
+class TestAllowedToolsFilterGlobalRegistryPath:
+    """Test ALLOWED_TOOLS filter through the global registry function."""
+    
+    def test_global_list_tools_with_allowed_filter(self):
+        """Test the global list_tools_with_allowed_filter function."""
+        from praisonaiagents.tools import list_tools_with_allowed_filter
+        from praisonaiagents.tools.registry import get_registry
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search_web,send_email"}):
+            registry = get_registry()
+            
+            with patch.object(registry, 'list_tools_with_allowed_filter', return_value=['search_web', 'send_email']) as mock_filter:
+                result = list_tools_with_allowed_filter()
+                
+                # Should call the registry method
+                mock_filter.assert_called_once_with(None)
+                assert result == ['search_web', 'send_email']
+    
+    def test_global_backward_compatibility_alias(self):
+        """Test the backward compatibility alias for hermes filter."""
+        from praisonaiagents.tools import list_tools_with_hermes_filter, list_tools_with_allowed_filter
+        from praisonaiagents.tools.registry import get_registry
+        
+        registry = get_registry()
+        
+        with patch.object(registry, 'list_tools_with_allowed_filter', return_value=['search_web']) as mock_filter:
+            # Both should call the same underlying function
+            result1 = list_tools_with_allowed_filter()
+            result2 = list_tools_with_hermes_filter()
+            
+            assert result1 == result2 == ['search_web']
+            assert mock_filter.call_count == 2
+
+
+class TestAllowedToolsFilterCLIIntegration:
+    """Integration tests for ALLOWED_TOOLS filter with CLI agent handler."""
+    
+    def test_cli_agents_load_tools_no_filter(self):
+        """Test CLI agent tool loading without ALLOWED_TOOLS filter."""
+        handler = MultiAgentHandler(verbose=False)
+        
+        with patch.dict(os.environ, {}, clear=True):
+            # Mock the tools import to avoid actual import dependencies
+            with patch('praisonai.cli.features.agents.internet_search'), \
+                 patch('praisonai.cli.features.agents.read_file'):
+                
+                tools = handler._load_tools(["internet_search", "read_file"])
+                
+                # Should load all requested tools when no filter
+                assert len(tools) == 2
+    
+    def test_cli_agents_load_tools_with_filter(self):
+        """Test CLI agent tool loading with ALLOWED_TOOLS filter."""
+        handler = MultiAgentHandler(verbose=False)
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "internet_search"}):
+            # Mock the tools and filter
+            mock_internet_search = MagicMock()
+            mock_read_file = MagicMock()
+            
+            with patch('praisonai.cli.features.agents.internet_search', mock_internet_search), \
+                 patch('praisonai.cli.features.agents.read_file', mock_read_file):
+                
+                tools = handler._load_tools(["internet_search", "read_file"])
+                
+                # Should only load tools allowed by filter
+                assert len(tools) == 1
+                assert mock_internet_search in tools
+                assert mock_read_file not in tools
+    
+    def test_cli_agents_load_tools_filter_error_handling(self):
+        """Test CLI tool loading with ALLOWED_TOOLS filter error handling."""
+        handler = MultiAgentHandler(verbose=False)
+        requested = ["internet_search", "read_file"]
+        
+        with patch('os.environ.get', return_value=None):
+            with patch('praisonai.cli.features.agents.internet_search'), \
+                 patch('praisonai.cli.features.agents.read_file'):
+                baseline_tools = handler._load_tools(requested)
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": ""}):
+            with pytest.raises(ValueError):
+                handler._load_tools(requested)
+    
+    def test_cli_agents_load_tools_import_error_fallback(self):
+        """Test CLI tool loading fallback when ALLOWED_TOOLS filter import fails."""
+        handler = MultiAgentHandler(verbose=False)
+        
+        # Mock ImportError for the filter module
+        with patch('praisonai.cli.features.agents.filter_tools_with_allowed_tools', side_effect=ImportError("Filter module not available")):
+            with patch('praisonai.cli.features.agents.internet_search'), \
+                 patch('praisonai.cli.features.agents.read_file'):
+                
+                tools = handler._load_tools(["internet_search", "read_file"])
+                
+                # Should load all tools on import error
+                assert len(tools) == 2
+    
+    def test_cli_agents_load_tools_filter_value_error_propagation(self):
+        """Test that ValueError from filter is properly propagated in CLI."""
+        handler = MultiAgentHandler(verbose=False)
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": ""}):  # Empty string causes ValueError
+            with pytest.raises(ValueError, match="cannot be empty"):
+                handler._load_tools(["internet_search"])
+
+
+class TestAllowedToolsFilterSpecSemantics:
+    """Test ALLOWED_TOOLS filter specification semantics."""
+    
+    def test_spec_semantics_unset_all_tools_visible(self):
+        """Test spec: unset ALLOWED_TOOLS means all tools visible with warning."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {}, clear=True):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message", "extract_pdf"}
+            
+            import logging
+            with patch.object(logging.getLogger(), 'warning') as mock_warn:
+                filtered = filter_instance.filter_tools(available_tools)
+            
+            # Should return all tools
+            assert filtered == available_tools
+            
+            # Should warn about unset whitelist
+            mock_warn.assert_called_once()
+            assert "Tool whitelist is unset" in mock_warn.call_args[0][0]
+    
+    def test_spec_semantics_empty_string_error(self):
+        """Test spec: empty ALLOWED_TOOLS string is an error."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": ""}):
+            with pytest.raises(ValueError, match="ALLOWED_TOOLS cannot be empty"):
+                AllowedToolsFilter()
+    
+    def test_spec_semantics_whitelist_only_specified_visible(self):
+        """Test spec: with ALLOWED_TOOLS values, only whitelisted tools visible."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"}):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message", "extract_pdf", "analyze_code"}
+            
+            filtered = filter_instance.filter_tools(available_tools)
+            
+            # Should only return whitelisted tools
+            assert filtered == {"search", "send_message"}
+    
+    def test_spec_semantics_unknown_tools_dev_warn_strip(self):
+        """Test spec: unknown tools in dev mode are warned and stripped."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,unknown_tool", "CI": "false"}):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message"}
+            
+            import logging
+            with patch.object(logging.getLogger(), 'warning') as mock_warn:
+                filtered = filter_instance.filter_tools(available_tools)
+            
+            # Should return only known tools
+            assert filtered == {"search"}
+            
+            # Should warn about unknown tools
+            mock_warn.assert_called()
+            assert "unknown_tool" in str(mock_warn.call_args[0][2])
+    
+    def test_spec_semantics_unknown_tools_ci_strict_fail(self):
+        """Test spec: unknown tools in CI mode cause strict failure."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,unknown_tool", "CI": "true"}):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message"}
+            
+            with pytest.raises(ValueError, match="Unknown tools in ALLOWED_TOOLS"):
+                filter_instance.filter_tools(available_tools)
+    
+    def test_spec_semantics_order_independence(self):
+        """Test spec: whitelist order doesn't matter."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"}):
+            filter1 = AllowedToolsFilter()
+            result1 = filter1.filter_tools(available_tools)
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "send_message,search"}):
+            filter2 = AllowedToolsFilter()
+            result2 = filter2.filter_tools(available_tools)
+        
+        # Results should be the same regardless of order
+        assert result1 == result2 == {"search", "send_message"}
+    
+    def test_spec_semantics_duplicate_isolation(self):
+        """Test spec: duplicate tool names in whitelist are handled properly."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,search,send_message,search"}):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message", "extract_pdf"}
+            
+            filtered = filter_instance.filter_tools(available_tools)
+            
+            # Duplicates should be de-duplicated
+            assert filtered == {"search", "send_message"}
+            
+            # Whitelist should be a set (no duplicates)
+            whitelist = filter_instance.get_whitelist()
+            assert whitelist == {"search", "send_message"}
+    
+    def test_spec_backward_compatibility_hermes_precedence(self):
+        """Test spec: ALLOWED_TOOLS takes precedence over HERMES_ONLY_TOOLS."""
+        from praisonaiagents.allowed_tools_filter import AllowedToolsFilter
+        
+        with patch.dict(os.environ, {
+            "ALLOWED_TOOLS": "search,send_message",
+            "HERMES_ONLY_TOOLS": "extract_pdf"
+        }):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message", "extract_pdf"}
+            
+            filtered = filter_instance.filter_tools(available_tools)
+            
+            # Should use ALLOWED_TOOLS, not HERMES_ONLY_TOOLS
+            assert filtered == {"search", "send_message"}
+            assert filter_instance.env_var_name == "ALLOWED_TOOLS"

src/praisonai-agents/tests/managed/test_managed_persistence_all_dbs.py

@@ -6,6 +6,7 @@ Databases tested (all via local Docker):
   2. PostgreSQL     — ConversationStore + ManagedAgent roundtrip
   3. MySQL          — ConversationStore + ManagedAgent roundtrip
   4. Redis          — StateStore + metadata persistence
+  4a. Valkey        — StateStore + metadata persistence
   5. MongoDB        — StateStore + metadata persistence
   6. ClickHouse     — Raw connectivity + data write/read
   7. JSON file      — DefaultSessionStore + ManagedAgent roundtrip
@@ -27,7 +28,6 @@ from unittest.mock import MagicMock, patch
 
 import pytest
 
-
 # ---------------------------------------------------------------------------
 # Helpers
 # ---------------------------------------------------------------------------
@@ -562,6 +562,206 @@ class TestRedisStateStore:
             r.close()
 
 
+
+# ===========================================================================
+# 4a. Valkey — StateStore operations + metadata persistence
+# ===========================================================================
+class TestValkeyStateStore:
+    """Valkey StateStore: real operations against a live Valkey instance."""
+
+    @pytest.fixture(autouse=True)
+    def check_valkey(self):
+        """Skip if Valkey not available."""
+        try:
+            from praisonai.persistence._valkey_client import create_valkey_client
+            client = create_valkey_client(host="localhost", port=6379)
+            client.ping()
+            client.close()
+        except Exception:
+            pytest.skip("Valkey not available on localhost:6379")
+
+    def test_valkey_state_operations(self):
+        """StateStore get/set/delete/exists/hash with real Valkey."""
+        from praisonai.persistence.state.valkey import ValkeyStateStore
+        prefix = f"test_{uuid.uuid4().hex[:6]}:"
+        store = ValkeyStateStore(host="localhost", port=6379, prefix=prefix)
+
+        try:
+            # Basic set/get
+            store.set("agent_id", "agent_valkey_001")
+            assert store.get("agent_id") == "agent_valkey_001"
+
+            # JSON roundtrip
+            state = {
+                "agent_id": "agent_valkey_001",
+                "agent_version": 3,
+                "total_input_tokens": 500,
+                "total_output_tokens": 200,
+                "compute_instance_id": "docker_valkey_test",
+                "session_history": [{"id": "s1", "status": "idle"}],
+            }
+            store.set_json("managed_state", state)
+            recovered = store.get_json("managed_state")
+            assert recovered["agent_id"] == "agent_valkey_001"
+            assert recovered["total_input_tokens"] == 500
+            assert recovered["compute_instance_id"] == "docker_valkey_test"
+            assert len(recovered["session_history"]) == 1
+
+            # Hash operations
+            store.hset("agent_meta", "version", "5")
+            store.hset("agent_meta", "env_id", "env_abc")
+            assert str(store.hget("agent_meta", "version")) == "5"
+            all_meta = store.hgetall("agent_meta")
+            assert str(all_meta["env_id"]) == "env_abc"
+
+            # Exists and delete
+            assert store.exists("agent_id")
+            store.delete("agent_id")
+            assert not store.exists("agent_id")
+
+        finally:
+            for k in store.keys():
+                store.delete(k)
+            store.close()
+
+    def test_valkey_managed_state_persist_restore(self):
+        """Simulate managed agent state persist/restore across store instances."""
+        from praisonai.persistence.state.valkey import ValkeyStateStore
+        prefix = f"mgd_{uuid.uuid4().hex[:6]}:"
+        store = ValkeyStateStore(host="localhost", port=6379, prefix=prefix)
+
+        try:
+            session_id = f"valkey_session_{uuid.uuid4().hex[:8]}"
+            state = {
+                "agent_id": "agent_valkey_mgd",
+                "agent_version": 2,
+                "environment_id": "env_valkey_001",
+                "total_input_tokens": 1000,
+                "total_output_tokens": 500,
+                "compute_instance_id": "modal_valkey_xyz",
+                "session_history": [
+                    {"id": session_id, "status": "idle", "title": "Valkey test"},
+                ],
+            }
+            store.set_json(f"managed:{session_id}", state)
+
+            # Simulate restart — new store instance, same prefix
+            store2 = ValkeyStateStore(host="localhost", port=6379, prefix=prefix)
+            recovered = store2.get_json(f"managed:{session_id}")
+            assert recovered is not None
+            assert recovered["agent_id"] == "agent_valkey_mgd"
+            assert recovered["total_input_tokens"] == 1000
+            assert recovered["compute_instance_id"] == "modal_valkey_xyz"
+            assert len(recovered["session_history"]) == 1
+
+            store.close()
+            store2.close()
+        finally:
+            store3 = ValkeyStateStore(host="localhost", port=6379, prefix=prefix)
+            for k in store3.keys():
+                store3.delete(k)
+            store3.close()
+
+
+# ===========================================================================
+# 4b. Valkey Vector Search — ValkeyVectorKnowledgeStore against a live instance
+# ===========================================================================
+class TestValkeyVectorSearch:
+    """Valkey vector search: real operations against a live ValkeySearch instance."""
+
+    @pytest.fixture(autouse=True)
+    def check_valkey_search(self):
+        """Skip if Valkey is unreachable or ValkeySearch (FT.*) is not loaded."""
+        try:
+            from glide_sync import ft
+        except ImportError:
+            pytest.skip("valkey-glide-sync not installed")
+
+        try:
+            from praisonai.persistence._valkey_client import create_valkey_client
+        except ImportError as e:
+            pytest.skip(f"praisonai not importable: {e}")
+
+        client = None
+        try:
+            client = create_valkey_client(host="localhost", port=6379)
+            client.ping()
+        except Exception as e:
+            if client is not None:
+                client.close()
+            pytest.skip(f"Valkey not available on localhost:6379: {e}")
+
+        try:
+            # Probe FT.* support; raises if module not loaded
+            ft.list(client)
+        except Exception as e:
+            pytest.skip(f"ValkeySearch (FT.*) module not loaded on localhost:6379: {e}")
+        finally:
+            if client is not None:
+                client.close()
+
+    def test_valkey_vector_search_roundtrip(self):
+        """Full create → insert → search → delete_collection roundtrip."""
+        from praisonai.persistence.knowledge.valkey_vector import ValkeyVectorKnowledgeStore
+        from praisonai.persistence.knowledge.base import KnowledgeDocument
+
+        prefix = f"praisontest_{uuid.uuid4().hex[:6]}_"
+        collection = f"vec_{uuid.uuid4().hex[:6]}"
+        dimension = 4
+        store = ValkeyVectorKnowledgeStore(host="localhost", port=6379, prefix=prefix)
+
+        try:
+            # Create index
+            store.create_collection(collection, dimension=dimension, distance="cosine")
+            assert store.collection_exists(collection)
+
+            # Insert documents with simple, distinguishable embeddings
+            docs = [
+                KnowledgeDocument(
+                    id="doc_a",
+                    content="alpha document",
+                    embedding=[1.0, 0.0, 0.0, 0.0],
+                ),
+                KnowledgeDocument(
+                    id="doc_b",
+                    content="bravo document",
+                    embedding=[0.0, 1.0, 0.0, 0.0],
+                ),
+                KnowledgeDocument(
+                    id="doc_c",
+                    content="charlie document",
+                    embedding=[0.0, 0.0, 1.0, 0.0],
+                ),
+            ]
+            inserted = store.insert(collection, docs)
+            assert set(inserted) == {"doc_a", "doc_b", "doc_c"}
+
+            # Vector search: query closest to doc_a
+            results = store.search(collection, query_embedding=[1.0, 0.0, 0.0, 0.0], limit=2)
+            assert len(results) >= 1, "Expected at least one search result"
+            assert results[0].id == "doc_a", f"Expected doc_a as nearest neighbor, got {results[0].id}"
+            assert results[0].content == "alpha document"
+
+            # Verify the bare ID is returned (no prefix leakage)
+            for r in results:
+                assert ":" not in r.id or r.id in {"doc_a", "doc_b", "doc_c"}
+
+            # get() roundtrip
+            got = store.get(collection, ["doc_b"])
+            assert len(got) == 1
+            assert got[0].id == "doc_b"
+            assert got[0].content == "bravo document"
+
+            # Delete one doc
+            deleted = store.delete(collection, ids=["doc_c"])
+            assert deleted == 1
+        finally:
+            try:
+                store.delete_collection(collection)
+            finally:
+                store.close()
+
+
 # ===========================================================================
 # 5. MongoDB — StateStore operations + metadata persistence
 # ===========================================================================
@@ -673,7 +873,6 @@ class TestClickHouseConnectivity:
     def test_clickhouse_write_read(self):
         """Write and read data from ClickHouse."""
         import clickhouse_connect
-
         table = f"praison_test_{uuid.uuid4().hex[:8]}"
         c = clickhouse_connect.get_client(
             host="localhost", port=8123, username="clickhouse", password="clickhouse",

src/praisonai-agents/tests/unit/agent/test_achat_unified_dispatch.py

@@ -0,0 +1,84 @@
+"""Unit tests for unified achat dispatch (Issue #1703)."""
+
+import asyncio
+from types import SimpleNamespace
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from praisonaiagents import Agent
+
+
+def _fake_completion(content: str = "Mock async reply"):
+    return SimpleNamespace(
+        choices=[SimpleNamespace(message=SimpleNamespace(content=content, reasoning_content=None))]
+    )
+
+
+@pytest.mark.asyncio
+async def test_unified_achat_returns_after_single_dispatch():
+    """achat must return after one unified dispatch, not loop forever."""
+    agent = Agent(name="test", instructions="You are helpful", llm="gpt-4o-mini")
+    agent._using_custom_llm = False
+    agent.self_reflect = False
+
+    mock_unified = AsyncMock(return_value=_fake_completion())
+
+    with patch.object(agent, "_execute_unified_achat_completion", mock_unified), patch.object(
+        agent, "_apply_guardrail_with_retry", return_value="Mock async reply"
+    ), patch.object(
+        agent, "_atrigger_after_agent_hook", new_callable=AsyncMock, return_value="Mock async reply"
+    ), patch.object(
+        agent, "_execute_callback_and_display"
+    ), patch.object(
+        agent, "_build_messages", return_value=([{"role": "user", "content": "hi"}], "hi")
+    ), patch.object(
+        agent, "_persist_message"
+    ), patch.object(
+        agent, "_format_tools_for_completion", return_value=[]
+    ):
+        result = await asyncio.wait_for(agent.achat("hi", stream=False), timeout=5)
+
+    assert result == "Mock async reply"
+    mock_unified.assert_called_once()
+
+
+@pytest.mark.asyncio
+async def test_unified_achat_completion_uses_execute_tool_async():
+    """Async unified dispatch must wire execute_tool_async, not sync execute_tool."""
+    agent = Agent(name="test", instructions="You are helpful", llm="gpt-4o-mini")
+    agent._using_custom_llm = False
+
+    mock_dispatcher = MagicMock()
+    mock_dispatcher.achat_completion = AsyncMock(return_value=_fake_completion())
+    agent._unified_dispatcher = mock_dispatcher
+
+    with patch.object(agent, "_apply_guardrail_with_retry", return_value="ok"), patch.object(
+        agent, "_atrigger_after_agent_hook", new_callable=AsyncMock, return_value="ok"
+    ), patch.object(agent, "_execute_callback_and_display"), patch.object(
+        agent, "_build_messages", return_value=([{"role": "user", "content": "hi"}], "hi")
+    ), patch.object(agent, "_persist_message"), patch.object(
+        agent, "_format_tools_for_completion", return_value=[]
+    ):
+        await agent._achat_impl(
+            prompt="hi",
+            temperature=1.0,
+            tools=None,
+            output_json=None,
+            output_pydantic=None,
+            reasoning_steps=False,
+            stream=False,
+            task_name=None,
+            task_description=None,
+            task_id=None,
+            config=None,
+            force_retrieval=False,
+            skip_retrieval=True,
+            attachments=None,
+            _trace_emitter=MagicMock(),
+        )
+
+    call_kwargs = mock_dispatcher.achat_completion.call_args[1]
+    tool_fn = call_kwargs.get("execute_tool_fn")
+    assert tool_fn is not None
+    assert getattr(tool_fn, "__name__", "") == "execute_tool_async"

src/praisonai-agents/tests/unit/config/test_precedence_ladder.py

@@ -48,6 +48,12 @@ class TestResolveMemory:
         result = resolve_memory("redis")
         assert isinstance(result, MemoryConfig)
         assert result.backend == MemoryBackend.REDIS
+
+    def test_string_valkey_backend(self):
+        """'valkey' string returns MemoryConfig with VALKEY backend."""
+        result = resolve_memory("valkey")
+        assert isinstance(result, MemoryConfig)
+        assert result.backend == MemoryBackend.VALKEY
     
     def test_string_custom_backend(self):
         """Custom string backend is preserved."""

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

@@ -0,0 +1,300 @@
+"""Unit tests for the ALLOWED_TOOLS filter module."""
+import os
+import logging
+from unittest.mock import patch, MagicMock
+import pytest
+
+from praisonaiagents.allowed_tools_filter import AllowedToolsFilter, filter_tools_with_allowed_tools
+
+
+class TestAllowedToolsFilter:
+    """Test cases for AllowedToolsFilter class."""
+    
+    def test_filter_initialization_unset(self):
+        """Test filter initialization with no environment variable set."""
+        with patch.dict(os.environ, {}, clear=True):
+            filter_instance = AllowedToolsFilter()
+            assert filter_instance.env_value is None
+            assert not filter_instance.is_enabled()
+            assert filter_instance.get_whitelist() is None
+    
+    def test_filter_initialization_primary_var(self):
+        """Test filter initialization with ALLOWED_TOOLS set."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"}):
+            filter_instance = AllowedToolsFilter()
+            assert filter_instance.env_value == "search,send_message"
+            assert filter_instance.env_var_name == "ALLOWED_TOOLS"
+            assert filter_instance.is_enabled()
+            assert filter_instance.get_whitelist() == {"search", "send_message"}
+    
+    def test_filter_initialization_legacy_var(self):
+        """Test filter initialization with HERMES_ONLY_TOOLS set (backward compatibility)."""
+        with patch.dict(os.environ, {"HERMES_ONLY_TOOLS": "search,send_message"}):
+            filter_instance = AllowedToolsFilter()
+            assert filter_instance.env_value == "search,send_message"
+            assert filter_instance.env_var_name == "HERMES_ONLY_TOOLS"
+            assert filter_instance.is_enabled()
+            assert filter_instance.get_whitelist() == {"search", "send_message"}
+    
+    def test_filter_initialization_primary_precedence(self):
+        """Test that ALLOWED_TOOLS takes precedence over HERMES_ONLY_TOOLS."""
+        with patch.dict(os.environ, {
+            "ALLOWED_TOOLS": "search,send_message", 
+            "HERMES_ONLY_TOOLS": "old_tool"
+        }):
+            filter_instance = AllowedToolsFilter()
+            assert filter_instance.env_value == "search,send_message"
+            assert filter_instance.env_var_name == "ALLOWED_TOOLS"
+            assert filter_instance.get_whitelist() == {"search", "send_message"}
+    
+    def test_filter_initialization_empty_string_error(self):
+        """Test that empty string raises ValueError."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": ""}):
+            with pytest.raises(ValueError, match="ALLOWED_TOOLS cannot be empty"):
+                AllowedToolsFilter()
+    
+    def test_filter_initialization_whitespace_only_error(self):
+        """Test that whitespace-only string raises ValueError."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "   "}):
+            with pytest.raises(ValueError, match="ALLOWED_TOOLS cannot be empty"):
+                AllowedToolsFilter()
+    
+    def test_filter_initialization_empty_after_split_error(self):
+        """Test that comma-only string raises ValueError."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": ",,,"}):
+            with pytest.raises(ValueError, match="contains no valid tool names"):
+                AllowedToolsFilter()
+    
+    def test_parse_whitelist_with_spaces(self):
+        """Test parsing comma-separated values with spaces."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": " search , send_message , extract_pdf "}):
+            filter_instance = AllowedToolsFilter()
+            assert filter_instance.get_whitelist() == {"search", "send_message", "extract_pdf"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,unknown_tool,send_message", "CI": "false"})
+    def test_filter_tools_with_unknown_tools_dev_mode(self):
+        """Test filtering tools with unknown tools in development mode."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        with patch.object(logging.getLogger(), 'warning') as mock_warn:
+            filtered = filter_instance.filter_tools(available_tools)
+            
+        # Should return intersection of available and whitelisted tools
+        assert filtered == {"search", "send_message"}
+        
+        # Should warn about unknown tools
+        mock_warn.assert_called()
+        call_args = mock_warn.call_args[0]
+        assert "Unknown tools" in call_args[0]
+        assert ["unknown_tool"] == call_args[2]
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,unknown_tool,send_message", "CI": "true"})
+    def test_filter_tools_with_unknown_tools_ci_mode(self):
+        """Test filtering tools with unknown tools in CI mode."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        with pytest.raises(ValueError, match="Unknown tools in ALLOWED_TOOLS"):
+            filter_instance.filter_tools(available_tools)
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"})
+    def test_filter_tools_all_available(self):
+        """Test filtering when all whitelisted tools are available."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        filtered = filter_instance.filter_tools(available_tools)
+        assert filtered == {"search", "send_message"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"})
+    def test_filter_tools_partial_match(self):
+        """Test filtering when only some whitelisted tools are available."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "extract_pdf"}
+        
+        filtered = filter_instance.filter_tools(available_tools)
+        assert filtered == {"search"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"})
+    def test_filter_tools_dict_input(self):
+        """Test filtering with dictionary input."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search": lambda: None, "send_message": lambda: None, "extract_pdf": lambda: None}
+        
+        filtered = filter_instance.filter_tools(available_tools)
+        assert filtered == {"search", "send_message"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"})
+    def test_filter_tools_list_input(self):
+        """Test filtering with list input."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = ["search", "send_message", "extract_pdf"]
+        
+        filtered = filter_instance.filter_tools(available_tools)
+        assert filtered == {"search", "send_message"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message,unknown_in_whitelist"})
+    def test_diagnostics_data(self):
+        """Test diagnostics data collection."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        filtered = filter_instance.filter_tools(available_tools)
+        diagnostics = filter_instance.get_diagnostics()
+        
+        assert diagnostics["env_var_name"] == "ALLOWED_TOOLS"
+        assert diagnostics["env_value"] == "search,send_message,unknown_in_whitelist"
+        assert diagnostics["whitelist"] == ["search", "send_message", "unknown_in_whitelist"]
+        assert set(diagnostics["registered_before_filter"]) == {"search", "send_message", "extract_pdf"}
+        assert set(diagnostics["registered_after_filter"]) == {"search", "send_message"}
+        assert set(diagnostics["dropped_tools"]) == {"extract_pdf"}
+        assert set(diagnostics["unknown_tools"]) == {"unknown_in_whitelist"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"})
+    def test_log_diagnostics(self, caplog):
+        """Test diagnostics logging."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        with caplog.at_level(logging.INFO):
+            filter_instance.filter_tools(available_tools)
+            filter_instance.log_diagnostics()
+        
+        log_text = caplog.text
+        assert "ALLOWED_TOOLS FILTER DIAGNOSTICS" in log_text
+        assert "ALLOWED_TOOLS=search,send_message" in log_text
+        assert "RegisteredBeforeFilter" in log_text
+        assert "RegisteredAfterFilter" in log_text
+        assert "DroppedTools" in log_text
+        assert "UnknownTools" in log_text
+    
+    def test_log_diagnostics_before_filtering(self, caplog):
+        """Test logging diagnostics before calling filter_tools."""
+        filter_instance = AllowedToolsFilter()
+        
+        with caplog.at_level(logging.WARNING):
+            filter_instance.log_diagnostics()
+        
+        assert "No diagnostics available" in caplog.text
+    
+    def test_filter_tools_unset_env_var(self, caplog):
+        """Test filtering with unset environment variable."""
+        with patch.dict(os.environ, {}, clear=True):
+            filter_instance = AllowedToolsFilter()
+            available_tools = {"search", "send_message", "extract_pdf"}
+            
+            with caplog.at_level(logging.WARNING):
+                filtered = filter_instance.filter_tools(available_tools)
+            
+            # Should return all tools
+            assert filtered == available_tools
+            assert "Tool whitelist is unset" in caplog.text
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "tool1", "CI": "false"})
+    def test_no_matching_tools(self):
+        """Test filtering when no whitelisted tools match available tools."""
+        filter_instance = AllowedToolsFilter()
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        filtered = filter_instance.filter_tools(available_tools)
+        assert filtered == set()  # Empty set when no matches
+    
+    def test_custom_env_var_name(self):
+        """Test using custom environment variable name."""
+        with patch.dict(os.environ, {"CUSTOM_TOOLS": "search,send_message"}):
+            filter_instance = AllowedToolsFilter("CUSTOM_TOOLS")
+            assert filter_instance.env_var_name == "CUSTOM_TOOLS"
+            assert filter_instance.get_whitelist() == {"search", "send_message"}
+
+
+class TestConvenienceFunction:
+    """Test cases for the convenience function."""
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"})
+    def test_filter_tools_with_allowed_tools(self):
+        """Test the convenience function."""
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        filtered = filter_tools_with_allowed_tools(available_tools, log_diagnostics=False)
+        assert filtered == {"search", "send_message"}
+    
+    @patch.dict(os.environ, {"CUSTOM_TOOLS": "search"})
+    def test_filter_tools_with_custom_env_var(self):
+        """Test the convenience function with custom env var."""
+        available_tools = {"search", "send_message"}
+        
+        filtered = filter_tools_with_allowed_tools(available_tools, env_var_name="CUSTOM_TOOLS", log_diagnostics=False)
+        assert filtered == {"search"}
+    
+    @patch.dict(os.environ, {"ALLOWED_TOOLS": "search"})
+    def test_filter_tools_with_diagnostics(self, caplog):
+        """Test the convenience function with diagnostics enabled."""
+        available_tools = {"search", "send_message"}
+        
+        with caplog.at_level(logging.INFO):
+            filtered = filter_tools_with_allowed_tools(available_tools, log_diagnostics=True)
+        
+        assert filtered == {"search"}
+        assert "ALLOWED_TOOLS FILTER DIAGNOSTICS" in caplog.text
+
+
+class TestBackwardCompatibility:
+    """Test backward compatibility aliases."""
+    
+    @patch.dict(os.environ, {"HERMES_ONLY_TOOLS": "search,send_message"})
+    def test_legacy_class_alias(self):
+        """Test HermesToolFilter alias works."""
+        from praisonaiagents.allowed_tools_filter import HermesToolFilter
+        
+        filter_instance = HermesToolFilter()
+        assert isinstance(filter_instance, AllowedToolsFilter)
+        assert filter_instance.env_var_name == "HERMES_ONLY_TOOLS"
+        assert filter_instance.get_whitelist() == {"search", "send_message"}
+    
+    @patch.dict(os.environ, {"HERMES_ONLY_TOOLS": "search,send_message"})
+    def test_legacy_function_aliases(self):
+        """Test legacy function aliases work."""
+        from praisonaiagents.allowed_tools_filter import (
+            filter_tools_with_hermes, hermes_filter, apply_hermes_filter
+        )
+        
+        available_tools = {"search", "send_message", "extract_pdf"}
+        
+        # All aliases should work and return the same result
+        result1 = filter_tools_with_hermes(available_tools, log_diagnostics=False)
+        result2 = hermes_filter(available_tools, log_diagnostics=False)
+        result3 = apply_hermes_filter(available_tools, log_diagnostics=False)
+        
+        expected = {"search", "send_message"}
+        assert result1 == expected
+        assert result2 == expected
+        assert result3 == expected
+    
+    def test_empty_tools_edge_case(self):
+        """Test filtering with empty available tools."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"}):
+            filter_instance = AllowedToolsFilter()
+            
+            filtered = filter_instance.filter_tools(set())
+            assert filtered == set()
+            
+            # Also test with empty list and dict
+            assert filter_instance.filter_tools([]) == set()
+            assert filter_instance.filter_tools({}) == set()
+    
+    def test_whitelist_immutability(self):
+        """Test that get_whitelist returns a copy, not the original."""
+        with patch.dict(os.environ, {"ALLOWED_TOOLS": "search,send_message"}):
+            filter_instance = AllowedToolsFilter()
+            
+            whitelist1 = filter_instance.get_whitelist()
+            whitelist2 = filter_instance.get_whitelist()
+            
+            # Should be equal but not the same object
+            assert whitelist1 == whitelist2
+            assert whitelist1 is not whitelist2
+            
+            # Modifying one shouldn't affect the other
+            whitelist1.add("new_tool")
+            assert whitelist1 != whitelist2

src/praisonai-rust/FEATURE_PARITY_TRACKER.json

@@ -1,6 +1,6 @@
 {
   "version": "1.5.87",
-  "lastUpdated": "2026-05-19",
+  "lastUpdated": "2026-05-20",
   "generatedBy": "praisonai._dev.parity.generator",
   "sourceOfTruth": "Python SDK (praisonaiagents)",
   "status": "PARITY_ACHIEVED",

src/praisonai-ts/FEATURE_PARITY_TRACKER.json

@@ -1,6 +1,6 @@
 {
   "version": "1.5.87",
-  "lastUpdated": "2026-05-19",
+  "lastUpdated": "2026-05-20",
   "generatedBy": "praisonai._dev.parity.generator",
   "sourceOfTruth": "Python SDK (praisonaiagents)",
   "summary": {

src/praisonai-ts/PARITY.md

@@ -1,6 +1,6 @@
 # Feature Parity Tracker
 
-> **Version:** 1.5.87 | **Last Updated:** 2026-05-19
+> **Version:** 1.5.87 | **Last Updated:** 2026-05-20
 > **Source of Truth:** Python SDK (praisonaiagents)
 
 ## Summary

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/v4.6.41.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.6.41.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.6.43.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v4.6.43.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/_framework_availability.py

@@ -0,0 +1,53 @@
+"""Single source of truth for optional-framework availability."""
+import importlib.util
+import importlib.metadata
+import threading
+from typing import Callable
+
+_cache: dict[str, bool] = {}
+_lock = threading.Lock()
+
+def _ag2_probe() -> bool:
+    # AG2 ships under the `autogen` namespace; presence of the dist is
+    # the only reliable signal.
+    try:
+        importlib.metadata.distribution('ag2')
+    except importlib.metadata.PackageNotFoundError:
+        return False
+    return importlib.util.find_spec("autogen") is not None
+
+def _autogen_v4_probe() -> bool:
+    return (importlib.util.find_spec("autogen_agentchat") is not None
+            and importlib.util.find_spec("autogen_ext") is not None)
+
+_PROBES: dict[str, Callable[[], bool]] = {
+    "crewai":            lambda: importlib.util.find_spec("crewai") is not None,
+    "autogen":           lambda: importlib.util.find_spec("autogen") is not None,
+    "autogen_v4":        _autogen_v4_probe,
+    "ag2":               _ag2_probe,
+    "praisonaiagents":   lambda: importlib.util.find_spec("praisonaiagents") is not None,
+    "praisonai_tools":   lambda: importlib.util.find_spec("praisonai_tools") is not None,
+    "agentops":          lambda: importlib.util.find_spec("agentops") is not None,
+    "litellm":           lambda: importlib.util.find_spec("litellm") is not None,
+    "openai":            lambda: importlib.util.find_spec("openai") is not None,
+}
+
+def is_available(name: str) -> bool:
+    if name not in _PROBES:
+        raise ValueError(f"unknown framework name: {name!r}")
+    cached = _cache.get(name)
+    if cached is not None:
+        return cached
+    with _lock:
+        cached = _cache.get(name)
+        if cached is None:
+            cached = bool(_PROBES[name]())
+            _cache[name] = cached
+        return cached
+
+def invalidate(name: str | None = None) -> None:
+    with _lock:
+        if name is None:
+            _cache.clear()
+        else:
+            _cache.pop(name, None)

src/praisonai/praisonai/agents_generator.py

@@ -23,12 +23,8 @@ from .framework_adapters.registry import FrameworkAdapterRegistry, get_default_r
 from .tool_registry import ToolRegistry
 
 # Import availability flags
-try:
-    from .inbuilt_tools import PRAISONAI_TOOLS_AVAILABLE, CREWAI_AVAILABLE, AUTOGEN_AVAILABLE
-except ImportError:
-    PRAISONAI_TOOLS_AVAILABLE = False
-    CREWAI_AVAILABLE = False
-    AUTOGEN_AVAILABLE = False
+# Compatibility imports - now handled by centralized detection
+# (inbuilt_tools still defines these but they're read-only compatibility)
 
 # Import BaseTool for tools handling
 BaseTool = None
@@ -40,17 +36,14 @@ except ImportError:
     except ImportError:
         pass
 
-# Check for additional framework availability
-AG2_AVAILABLE = False
-PRAISONAI_AVAILABLE = False
-AGENTOPS_AVAILABLE = False
-try:
-    import importlib.util
-    AG2_AVAILABLE = importlib.util.find_spec("ag2") is not None
-    PRAISONAI_AVAILABLE = importlib.util.find_spec("praisonaiagents") is not None
-    AGENTOPS_AVAILABLE = importlib.util.find_spec("agentops") is not None
-except ImportError:
-    pass
+# Check for additional framework availability using centralized detection
+from ._framework_availability import is_available
+PRAISONAI_TOOLS_AVAILABLE = is_available("praisonai_tools")
+CREWAI_AVAILABLE          = is_available("crewai")
+AUTOGEN_AVAILABLE         = is_available("autogen")
+AG2_AVAILABLE             = is_available("ag2")
+PRAISONAI_AVAILABLE       = is_available("praisonaiagents")
+AGENTOPS_AVAILABLE        = is_available("agentops")
 
 # Framework adapter registry - now uses proper registry pattern
 # This replaces the hardcoded FRAMEWORK_ADAPTERS dict

src/praisonai/praisonai/auto.py

@@ -61,10 +61,40 @@ def _load_optional(key: str, loader):
 
 
 # --- CrewAI lazy loading ---
+# Availability checks now delegated to centralized module
+from ._framework_availability import is_available
+
 def _check_crewai_available() -> bool:
     """Check if crewai is available (cached, thread-safe)."""
-    result = _load_optional("crewai_check", lambda: __import__("crewai"))
-    return result is not None
+    return is_available("crewai")
+
+def _check_autogen_available() -> bool:
+    """Check if autogen v0.2 is available (cached, thread-safe)."""
+    return is_available("autogen")
+
+def _check_autogen_v4_available() -> bool:
+    """Check if autogen v0.4 is available (cached, thread-safe)."""
+    return is_available("autogen_v4")
+
+def _check_ag2_available() -> bool:
+    """Check if AG2 (community fork of AutoGen) is available (cached, thread-safe)."""
+    return is_available("ag2")
+
+def _check_praisonai_available() -> bool:
+    """Check if praisonaiagents is available (cached, thread-safe)."""
+    return is_available("praisonaiagents")
+
+def _check_praisonai_tools_available() -> bool:
+    """Check if praisonai_tools is available (cached, thread-safe)."""
+    return is_available("praisonai_tools")
+
+def _check_litellm_available() -> bool:
+    """Check if litellm is available (cached, thread-safe)."""
+    return is_available("litellm")
+
+def _check_openai_available() -> bool:
+    """Check if openai is available (cached, thread-safe)."""
+    return is_available("openai")
 
 
 def _get_crewai():
@@ -76,31 +106,6 @@ def _get_crewai():
     ))
 
 
-# --- AutoGen lazy loading ---
-def _check_autogen_available() -> bool:
-    """Check if autogen v0.2 is available (cached, thread-safe)."""
-    result = _load_optional("autogen_check", lambda: __import__("autogen"))
-    return result is not None
-
-
-def _check_autogen_v4_available() -> bool:
-    """Check if autogen v0.4 is available (cached, thread-safe)."""
-    result = _load_optional("autogen_v4_check", lambda: __import__("autogen_agentchat.agents", fromlist=["AssistantAgent"]))
-    return result is not None
-
-
-def _check_ag2_available() -> bool:
-    """Check if AG2 (community fork of AutoGen) is available (cached, thread-safe)."""
-    def ag2_loader():
-        import importlib.metadata
-        importlib.metadata.distribution('ag2')
-        from autogen import LLMConfig  # AG2-exclusive class
-        return True
-    
-    result = _load_optional("ag2_check", ag2_loader)
-    return result is not None
-
-
 def _get_autogen():
     """Lazy load autogen module (thread-safe)."""
     return _load_optional("autogen_module", lambda: __import__("autogen"))
@@ -116,13 +121,6 @@ def _get_autogen_v4():
     return _load_optional("autogen_v4_classes", autogen_v4_loader)
 
 
-# --- PraisonAI Agents lazy loading ---
-def _check_praisonai_available() -> bool:
-    """Check if praisonaiagents is available (cached, thread-safe)."""
-    result = _load_optional("praisonai_check", lambda: __import__("praisonaiagents"))
-    return result is not None
-
-
 def _get_praisonai():
     """Lazy load praisonaiagents classes (thread-safe)."""
     def praisonai_loader():
@@ -133,12 +131,6 @@ def _get_praisonai():
 
 
 # --- PraisonAI Tools lazy loading ---
-def _check_praisonai_tools_available() -> bool:
-    """Check if praisonai_tools is available (cached, thread-safe)."""
-    result = _load_optional("praisonai_tools_check", lambda: __import__("praisonai_tools"))
-    return result is not None
-
-
 def _get_praisonai_tools():
     """Lazy load praisonai_tools classes (thread-safe)."""
     def tools_loader():
@@ -172,13 +164,6 @@ def _get_praisonai_tools():
     return _load_optional("praisonai_tools_dict", tools_loader)
 
 
-# --- LiteLLM lazy loading ---
-def _check_litellm_available() -> bool:
-    """Check if litellm is available (cached)."""
-    result = _load_optional("litellm_check", lambda: __import__("litellm"))
-    return result is not None
-
-
 def _get_litellm():
     """Lazy load litellm module."""
     result = _load_optional("litellm", lambda: __import__("litellm"))
@@ -188,10 +173,6 @@ def _get_litellm():
 
 
 # --- OpenAI lazy loading ---
-def _check_openai_available() -> bool:
-    """Check if openai is available (cached)."""
-    result = _load_optional("openai_check", lambda: __import__("openai"))
-    return result is not None
 
 
 
@@ -970,7 +951,7 @@ Use the recommended tools: {', '.join(recommended_tools)}
 # Workflow Auto-Generation (Feature Parity)
 # =============================================================================
 
-class TaskDetails(BaseModel):
+class WorkflowStepDetails(BaseModel):
     """Details for a workflow step."""
     agent: str
     action: str
@@ -984,7 +965,7 @@ class WorkflowRouteDetails(BaseModel):
 class WorkflowParallelDetails(BaseModel):
     """Details for a parallel step."""
     name: str
-    parallel: List[TaskDetails]
+    parallel: List[WorkflowStepDetails]
 
 class WorkflowAgentDetails(BaseModel):
     """Details for a workflow agent."""

src/praisonai/praisonai/cli/commands/doctor.py

@@ -119,6 +119,20 @@ def doctor_network(
     raise typer.Exit(_run_doctor(args))
 
 
+@app.command("packaging")
+def doctor_packaging(
+    deep: bool = typer.Option(False, "--deep", help="Enable deeper probes"),
+    json_output: bool = typer.Option(False, "--json", help="Output JSON"),
+):
+    """Check packaging and entry point configuration (Windows daemon compatibility)."""
+    args = ["packaging"]
+    if deep:
+        args.append("--deep")
+    if json_output:
+        args.append("--json")
+    raise typer.Exit(_run_doctor(args))
+
+
 @app.command("performance")
 def doctor_performance(
     deep: bool = typer.Option(False, "--deep", help="Enable deeper probes"),

src/praisonai/praisonai/cli/features/agents.py

@@ -123,6 +123,8 @@ class MultiAgentHandler:
     def _load_tools(self, tool_names: List[str]) -> List:
         """Load tool functions by name.
         
+        Applies ALLOWED_TOOLS filter if enabled to prevent tool name collisions.
+        
         Args:
             tool_names: List of tool names to load
             
@@ -148,6 +150,26 @@ class MultiAgentHandler:
                 'analyze_csv': analyze_csv,
             }
             
+            # Apply ALLOWED_TOOLS filter if enabled
+            try:
+                from praisonaiagents.allowed_tools_filter import filter_tools_with_allowed_tools
+                available_tools = set(tool_map.keys())
+                filtered_tools = filter_tools_with_allowed_tools(available_tools, log_diagnostics=False)
+                
+                # Filter tool_map to only include whitelisted tools
+                tool_map = {name: func for name, func in tool_map.items() if name in filtered_tools}
+                
+            except ImportError:
+                # ALLOWED_TOOLS filter not available, proceed normally
+                pass
+            except ValueError:
+                # Preserve strict filter semantics (invalid config / CI unknown tools)
+                raise
+            except Exception as e:
+                if self.verbose:
+                    print(f"⚠ ALLOWED_TOOLS filter error: {e}")
+                raise
+            
             for name in tool_names:
                 if name in tool_map:
                     tools.append(tool_map[name])

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

@@ -23,3 +23,4 @@ def register_all_checks():
     from . import lsp_checks
     from . import acp_checks
     from . import bot_checks
+    from . import packaging_checks

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

@@ -0,0 +1,422 @@
+"""
+Packaging checks for the Doctor CLI module.
+
+Validates PraisonAI packaging and entry point configurations to diagnose 
+Windows daemon invocation issues (python -m praisonai vs praisonai console script).
+"""
+
+import os
+import subprocess
+import sys
+import platform
+import shutil
+
+from ..models import (
+    CheckCategory,
+    CheckResult,
+    CheckStatus,
+    CheckSeverity,
+    DoctorConfig,
+)
+from ..registry import register_check
+
+
+@register_check(
+    id="praisonai_package_structure",
+    title="PraisonAI Package Structure",
+    description="Check if praisonai package has correct structure for both -m and script execution",
+    category=CheckCategory.PACKAGING,
+    severity=CheckSeverity.HIGH,
+)
+def check_praisonai_package_structure(config: DoctorConfig) -> CheckResult:
+    """Check PraisonAI package structure and entry points."""
+    issues = []
+    metadata = {}
+    
+    try:
+        import praisonai
+        package_path = praisonai.__file__
+        if package_path:
+            package_dir = os.path.dirname(package_path)
+            metadata["package_path"] = package_path
+            metadata["package_dir"] = package_dir
+            
+            # Check for __main__.py
+            main_py_path = os.path.join(package_dir, "__main__.py")
+            if os.path.exists(main_py_path):
+                metadata["has_main_py"] = True
+                metadata["main_py_path"] = main_py_path
+            else:
+                issues.append("Missing __main__.py - python -m praisonai will not work")
+                metadata["has_main_py"] = False
+        else:
+            issues.append("praisonai.__file__ is None - namespace package detected")
+            
+    except ImportError as e:
+        issues.append(f"Cannot import praisonai: {e}")
+        metadata["import_error"] = str(e)
+    
+    # Check console script availability
+    praisonai_script = shutil.which("praisonai")
+    if praisonai_script:
+        metadata["console_script_path"] = praisonai_script
+        metadata["has_console_script"] = True
+    else:
+        issues.append("praisonai console script not found in PATH")
+        metadata["has_console_script"] = False
+    
+    if not issues:
+        return CheckResult(
+            id="praisonai_package_structure",
+            title="PraisonAI Package Structure",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.PASS,
+            message="Package structure is correct for both -m and script execution",
+            metadata=metadata,
+        )
+    else:
+        return CheckResult(
+            id="praisonai_package_structure",
+            title="PraisonAI Package Structure",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.FAIL,
+            message=f"Package structure issues: {'; '.join(issues)}",
+            metadata=metadata,
+        )
+
+
+@register_check(
+    id="python_module_execution",
+    title="Python Module Execution",
+    description="Test if python -m praisonai works correctly",
+    category=CheckCategory.PACKAGING,
+    severity=CheckSeverity.HIGH,
+)
+def check_python_module_execution(config: DoctorConfig) -> CheckResult:
+    """Test python -m praisonai execution."""
+    metadata = {"test_command": f"{sys.executable} -m praisonai --version"}
+    
+    try:
+        result = subprocess.run(
+            [sys.executable, "-m", "praisonai", "--version"],
+            capture_output=True,
+            text=True,
+            timeout=config.timeout,
+        )
+        
+        metadata["return_code"] = result.returncode
+        metadata["stdout"] = result.stdout.strip()
+        metadata["stderr"] = result.stderr.strip()
+        
+        if result.returncode == 0:
+            return CheckResult(
+                id="python_module_execution",
+                title="Python Module Execution",
+                category=CheckCategory.PACKAGING,
+                status=CheckStatus.PASS,
+                message=f"python -m praisonai works: {result.stdout.strip() or result.stderr.strip()}",
+                metadata=metadata,
+            )
+        else:
+            return CheckResult(
+                id="python_module_execution",
+                title="Python Module Execution",
+                category=CheckCategory.PACKAGING,
+                status=CheckStatus.FAIL,
+                message=f"python -m praisonai failed with exit code {result.returncode}",
+                metadata=metadata,
+            )
+            
+    except subprocess.TimeoutExpired:
+        return CheckResult(
+            id="python_module_execution",
+            title="Python Module Execution",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.FAIL,
+            message=f"python -m praisonai timed out (>{config.timeout}s)",
+            metadata=metadata,
+        )
+    except Exception as e:
+        metadata["exception"] = str(e)
+        return CheckResult(
+            id="python_module_execution",
+            title="Python Module Execution",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.FAIL,
+            message=f"python -m praisonai execution failed: {e}",
+            metadata=metadata,
+        )
+
+
+@register_check(
+    id="console_script_execution",
+    title="Console Script Execution",
+    description="Test if praisonai console script works correctly",
+    category=CheckCategory.PACKAGING,
+    severity=CheckSeverity.HIGH,
+)
+def check_console_script_execution(config: DoctorConfig) -> CheckResult:
+    """Test praisonai console script execution."""
+    praisonai_script = shutil.which("praisonai")
+    
+    if not praisonai_script:
+        return CheckResult(
+            id="console_script_execution",
+            title="Console Script Execution",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.FAIL,
+            message="praisonai console script not found in PATH",
+            metadata={"script_path": None},
+        )
+    
+    metadata = {
+        "script_path": praisonai_script,
+        "test_command": f"{praisonai_script} --version"
+    }
+    
+    try:
+        result = subprocess.run(
+            [praisonai_script, "--version"],
+            capture_output=True,
+            text=True,
+            timeout=config.timeout,
+        )
+        
+        metadata["return_code"] = result.returncode
+        metadata["stdout"] = result.stdout.strip()
+        metadata["stderr"] = result.stderr.strip()
+        
+        if result.returncode == 0:
+            return CheckResult(
+                id="console_script_execution",
+                title="Console Script Execution",
+                category=CheckCategory.PACKAGING,
+                status=CheckStatus.PASS,
+                message=f"praisonai console script works: {result.stdout.strip() or result.stderr.strip()}",
+                metadata=metadata,
+            )
+        else:
+            return CheckResult(
+                id="console_script_execution",
+                title="Console Script Execution",
+                category=CheckCategory.PACKAGING,
+                status=CheckStatus.FAIL,
+                message=f"praisonai console script failed with exit code {result.returncode}",
+                metadata=metadata,
+            )
+            
+    except subprocess.TimeoutExpired:
+        return CheckResult(
+            id="console_script_execution",
+            title="Console Script Execution",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.FAIL,
+            message=f"praisonai console script timed out (>{config.timeout}s)",
+            metadata=metadata,
+        )
+    except Exception as e:
+        metadata["exception"] = str(e)
+        return CheckResult(
+            id="console_script_execution",
+            title="Console Script Execution",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.FAIL,
+            message=f"praisonai console script execution failed: {e}",
+            metadata=metadata,
+        )
+
+
+@register_check(
+    id="windows_daemon_context",
+    title="Windows Daemon Context",
+    description="Check Windows-specific daemon execution context",
+    category=CheckCategory.PACKAGING,
+    severity=CheckSeverity.MEDIUM,
+)
+def check_windows_daemon_context(config: DoctorConfig) -> CheckResult:
+    """Check Windows daemon execution context and provide recommendations."""
+    metadata = {
+        "platform": platform.system(),
+        "is_windows": platform.system().lower() == "windows"
+    }
+    
+    if not metadata["is_windows"]:
+        return CheckResult(
+            id="windows_daemon_context",
+            title="Windows Daemon Context",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.SKIP,
+            message="Not Windows - check skipped",
+            metadata=metadata,
+        )
+    
+    recommendations = []
+    warnings = []
+    
+    # Check if in virtual environment
+    in_venv = hasattr(sys, 'real_prefix') or (hasattr(sys, 'base_prefix') and sys.base_prefix != sys.prefix)
+    metadata["in_venv"] = in_venv
+    metadata["sys_prefix"] = sys.prefix
+    metadata["sys_executable"] = sys.executable
+    
+    if in_venv:
+        venv_scripts_dir = os.path.join(sys.prefix, "Scripts")
+        metadata["venv_scripts_dir"] = venv_scripts_dir
+        
+        # Check if Scripts dir exists and has praisonai.exe
+        if os.path.exists(venv_scripts_dir):
+            praisonai_exe = os.path.join(venv_scripts_dir, "praisonai.exe")
+            metadata["venv_praisonai_exe_exists"] = os.path.exists(praisonai_exe)
+            
+            if os.path.exists(praisonai_exe):
+                recommendations.append(f"For daemons, use absolute path: {praisonai_exe}")
+            else:
+                warnings.append("praisonai.exe not found in venv Scripts directory")
+        else:
+            warnings.append("Virtual environment Scripts directory not found")
+    else:
+        warnings.append("Not in virtual environment - daemon may use global Python")
+    
+    # Check Python executable type
+    if "WindowsApps" in sys.executable:
+        warnings.append("Using Microsoft Store Python - may cause daemon issues")
+        recommendations.append("Consider using python.org Python or conda for daemons")
+    
+    # Check encoding environment
+    pythonioencoding = os.environ.get("PYTHONIOENCODING")
+    metadata["pythonioencoding"] = pythonioencoding
+    
+    if not pythonioencoding:
+        recommendations.append("Set PYTHONIOENCODING=utf-8 for daemon encoding safety")
+    
+    # Generate canonical daemon command
+    praisonai_script = shutil.which("praisonai")
+    if praisonai_script:
+        canonical_command = f'"{praisonai_script}"'
+    else:
+        canonical_command = f'"{sys.executable}" -m praisonai'
+    
+    metadata["canonical_daemon_command"] = canonical_command
+    recommendations.append(f"Recommended daemon command: {canonical_command}")
+    
+    if warnings:
+        status = CheckStatus.WARN
+        message = f"Windows daemon context has warnings: {'; '.join(warnings[:2])}"
+    else:
+        status = CheckStatus.PASS
+        message = "Windows daemon context is good"
+    
+    if recommendations:
+        metadata["recommendations"] = recommendations
+    
+    return CheckResult(
+        id="windows_daemon_context",
+        title="Windows Daemon Context",
+        category=CheckCategory.PACKAGING,
+        status=status,
+        message=message,
+        metadata=metadata,
+    )
+
+
+@register_check(
+    id="packaging_metadata",
+    title="Packaging Metadata",
+    description="Check PraisonAI package installation metadata",
+    category=CheckCategory.PACKAGING,
+    severity=CheckSeverity.LOW,
+)
+def check_packaging_metadata(config: DoctorConfig) -> CheckResult:
+    """Check PraisonAI package installation metadata."""
+    metadata = {}
+    issues = []
+    
+    try:
+        import praisonai
+        metadata["praisonai_file"] = getattr(praisonai, "__file__", None)
+        metadata["praisonai_version"] = getattr(praisonai, "__version__", "unknown")
+        
+        # Check if installed via pip (using modern importlib.metadata)
+        try:
+            try:
+                from importlib.metadata import distribution, PackageNotFoundError
+            except ImportError:
+                # Python < 3.8 fallback
+                from importlib_metadata import distribution, PackageNotFoundError
+            
+            try:
+                dist = distribution("praisonai")
+                metadata["pip_version"] = dist.version
+                metadata["pip_location"] = str(dist.locate_file(""))
+                metadata["pip_installed"] = True
+            except PackageNotFoundError:
+                metadata["pip_installed"] = False
+                issues.append("Package not found in pip registry (editable install?)")
+        except ImportError:
+            metadata["importlib_metadata_available"] = False
+        
+        # Check for editable install markers
+        if praisonai.__file__:
+            package_dir = os.path.dirname(praisonai.__file__)
+            # Look for .egg-link or similar editable install markers
+            site_packages = []
+            try:
+                import site
+                site_packages.extend(site.getsitepackages())
+                if hasattr(site, 'getusersitepackages'):
+                    site_packages.append(site.getusersitepackages())
+            except Exception as e:
+                metadata["site_packages_probe_error"] = str(e)
+            
+            is_editable = False
+            for sp in site_packages:
+                if sp and os.path.exists(sp):
+                    # Check for both case variations of egg-link files
+                    for egg_link_name in ("praisonai.egg-link", "PraisonAI.egg-link"):
+                        egg_link = os.path.join(sp, egg_link_name)
+                        if os.path.exists(egg_link):
+                            is_editable = True
+                            metadata["editable_install"] = True
+                            metadata["egg_link_path"] = egg_link
+                            break
+                    if is_editable:
+                        break
+                    
+                    # Check for modern editable install markers (PEP 660)
+                    try:
+                        for file in os.listdir(sp):
+                            if file.startswith("__editable__") and "praisonai" in file.lower() and file.endswith(".pth"):
+                                is_editable = True
+                                metadata["editable_install"] = True
+                                metadata["editable_pth_path"] = os.path.join(sp, file)
+                                break
+                    except OSError:
+                        pass
+                    if is_editable:
+                        break
+            
+            if not is_editable:
+                metadata["editable_install"] = False
+        
+    except ImportError as e:
+        issues.append(f"Cannot import praisonai: {e}")
+        metadata["import_error"] = str(e)
+    
+    if not issues:
+        return CheckResult(
+            id="packaging_metadata",
+            title="Packaging Metadata",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.PASS,
+            message="Package metadata is accessible",
+            metadata=metadata,
+        )
+    else:
+        return CheckResult(
+            id="packaging_metadata",
+            title="Packaging Metadata",
+            category=CheckCategory.PACKAGING,
+            status=CheckStatus.WARN,
+            message=f"Package metadata issues: {'; '.join(issues)}",
+            metadata=metadata,
+        )

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

@@ -40,6 +40,7 @@ class DoctorHandler(CommandHandler):
             "permissions",
             "network",
             "performance",
+            "packaging",
             "ci",
             "selftest",
         ]
@@ -290,6 +291,7 @@ class DoctorHandler(CommandHandler):
             "permissions": [CheckCategory.PERMISSIONS],
             "network": [CheckCategory.NETWORK],
             "performance": [CheckCategory.PERFORMANCE],
+            "packaging": [CheckCategory.PACKAGING],
             "selftest": [CheckCategory.SELFTEST],
             "ci": None,  # CI runs all checks
         }

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

@@ -32,6 +32,7 @@ class CheckCategory(Enum):
     PERMISSIONS = "permissions"
     NETWORK = "network"
     PERFORMANCE = "performance"
+    PACKAGING = "packaging"
     SELFTEST = "selftest"
     BOTS = "bots"
 

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==4.6.41 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==4.6.43 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/praisonai/framework_adapters/autogen_adapter.py

@@ -117,12 +117,8 @@ class AutoGenV4Adapter(BaseFrameworkAdapter):
     
     def is_available(self) -> bool:
         """Check if AutoGen v0.4 is available for import."""
-        try:
-            from autogen_agentchat.agents import AssistantAgent  # noqa: F401
-            from autogen_ext.models.openai import OpenAIChatCompletionClient  # noqa: F401
-            return True
-        except ImportError:
-            return False
+        from .._framework_availability import is_available
+        return is_available("autogen_v4")
     
     def run(
         self,
@@ -153,10 +149,148 @@ class AutoGenV4Adapter(BaseFrameworkAdapter):
         # Availability already validated at CLI entry
         
         logger.info("Starting AutoGen v0.4 execution...")
-        # For now, return a proper error message instead of delegating
-        # TODO: Implement full AutoGen v0.4 adapter logic
-        logger.warning("AutoGen v0.4 adapter is not yet fully implemented")
-        raise NotImplementedError("AutoGen v0.4 adapter is not yet fully implemented. Please use 'autogen' framework for AutoGen v0.2 support.")
+        import asyncio
+        import os
+        import re
+        
+        async def run_autogen_v4_async():
+            from autogen_agentchat.agents import AssistantAgent
+            from autogen_ext.models.openai import OpenAIChatCompletionClient
+            from autogen_agentchat.teams import RoundRobinGroupChat
+            from autogen_agentchat.conditions import TextMentionTermination, MaxMessageTermination
+            
+            # Create model client for v0.4
+            model_config = llm_config[0] if llm_config else {}
+            model_client = OpenAIChatCompletionClient(
+                model=model_config.get('model', 'gpt-4o-mini'),
+                api_key=model_config.get('api_key', os.environ.get("OPENAI_API_KEY")),
+                base_url=model_config.get('base_url', "https://api.openai.com/v1")
+            )
+            
+            agents = []
+            combined_tasks = []
+            
+            try:
+                # Create agents from config
+                for role, details in config['roles'].items():
+                    # For AutoGen v0.4, ensure agent name is a valid Python identifier
+                    agent_name = self._format_template(details['role'], topic=topic)
+                    agent_name = self._sanitize_agent_name_for_autogen_v4(agent_name)
+                    backstory = self._format_template(details['backstory'], topic=topic)
+                    
+                    # Convert tools for v0.4 - simplified tool passing
+                    agent_tools = []
+                    for tool_name in details.get('tools', []):
+                        if tools_dict and tool_name in tools_dict:
+                            tool_instance = tools_dict[tool_name]
+                            # For v0.4, we can pass the tool's run method directly if it's callable
+                            if hasattr(tool_instance, 'run') and callable(tool_instance.run):
+                                agent_tools.append(tool_instance.run)
+                    
+                    # Create v0.4 AssistantAgent
+                    assistant = AssistantAgent(
+                        name=agent_name,
+                        system_message=backstory + ". Must reply with 'TERMINATE' when the task is complete.",
+                        model_client=model_client,
+                        tools=agent_tools,
+                        reflect_on_tool_use=True
+                    )
+                    
+                    agents.append(assistant)
+                    
+                    # Collect all task descriptions for sequential execution
+                    for task_name, task_details in details.get('tasks', {}).items():
+                        description_filled = self._format_template(task_details['description'], topic=topic)
+                        combined_tasks.append(description_filled)
+                
+                if not agents:
+                    return "No agents created from configuration"
+                
+                # Create termination conditions
+                text_termination = TextMentionTermination("TERMINATE")
+                max_messages_termination = MaxMessageTermination(max_messages=20)
+                termination_condition = text_termination | max_messages_termination
+                
+                # Create RoundRobinGroupChat for parallel/sequential execution
+                group_chat = RoundRobinGroupChat(
+                    agents,
+                    termination_condition=termination_condition,
+                    max_turns=len(agents) * 3  # Allow multiple rounds
+                )
+                
+                # Combine all tasks into a single task description
+                task_description = f"Topic: {topic}\n\nTasks to complete:\n" + "\n".join(
+                    f"{i+1}. {task}" for i, task in enumerate(combined_tasks)
+                )
+                
+                # Run the group chat
+                result = await group_chat.run(task=task_description)
+                
+                # Extract the final message content
+                if result.messages:
+                    final_message = result.messages[-1]
+                    if hasattr(final_message, 'content'):
+                        return f"### AutoGen v0.4 Output ###\n{final_message.content}"
+                    else:
+                        return f"### AutoGen v0.4 Output ###\n{str(final_message)}"
+                else:
+                    return "### AutoGen v0.4 Output ###\nNo messages generated"
+                    
+            except Exception as e:
+                logger.error(f"Error in AutoGen v0.4 execution: {str(e)}")
+                return f"### AutoGen v0.4 Error ###\n{str(e)}"
+            
+            finally:
+                # Close the model client
+                await model_client.close()
+        
+        # Run the async function using safe bridge
+        try:
+            from .._async_bridge import run_sync
+            return run_sync(run_autogen_v4_async())
+        except ImportError:
+            # Fallback if _async_bridge is not available
+            return asyncio.run(run_autogen_v4_async())
+        except Exception as e:
+            logger.error(f"Error running AutoGen v0.4: {str(e)}")
+            return f"### AutoGen v0.4 Error ###\n{str(e)}"
+    
+    def _sanitize_agent_name_for_autogen_v4(self, name):
+        """
+        Sanitize agent name to be a valid Python identifier for AutoGen v0.4.
+        
+        Args:
+            name (str): The original agent name
+            
+        Returns:
+            str: A valid Python identifier
+        """
+        import re
+        import keyword
+        
+        # Convert to string and replace invalid characters with underscores
+        sanitized = re.sub(r'[^a-zA-Z0-9_]', '_', str(name))
+        
+        # Collapse only very excessive underscores (5 or more) to reduce extreme cases
+        sanitized = re.sub(r'_{5,}', '_', sanitized)
+        
+        # Remove trailing underscores only if not part of a dunder pattern and only if singular
+        if sanitized.endswith('_') and not sanitized.endswith('__') and sanitized != '_':
+            sanitized = sanitized.rstrip('_')
+        
+        # Ensure it doesn't start with a digit
+        if sanitized and sanitized[0].isdigit():
+            sanitized = 'agent_' + sanitized
+        
+        # If it's empty or just underscores, use a default
+        if not sanitized or sanitized == '_':
+            sanitized = 'agent'
+        
+        # Check if it's a Python keyword and append underscore if so
+        if keyword.iskeyword(sanitized):
+            sanitized += '_'
+        
+        return sanitized
 
 
 class AG2Adapter(BaseFrameworkAdapter):
@@ -168,13 +302,8 @@ class AG2Adapter(BaseFrameworkAdapter):
     
     def is_available(self) -> bool:
         """Check if AG2 is available for import."""
-        try:
-            import importlib.metadata as _importlib_metadata
-            _importlib_metadata.distribution('ag2')
-            from autogen import LLMConfig  # noqa: F401 — AG2-exclusive class
-            return True
-        except Exception:
-            return False
+        from .._framework_availability import is_available
+        return is_available("ag2")
     
     def run(
         self,
@@ -205,7 +334,135 @@ class AG2Adapter(BaseFrameworkAdapter):
         # Availability already validated at CLI entry
             
         logger.info("Starting AG2 execution...")
-        # For now, return a proper error message instead of delegating
-        # TODO: Implement full AG2 adapter logic
-        logger.warning("AG2 adapter is not yet fully implemented")
-        raise NotImplementedError("AG2 adapter is not yet fully implemented. Please use 'autogen' framework for AutoGen/AG2 support.")
+        import re
+        import os
+        from autogen import (
+            AssistantAgent, UserProxyAgent, GroupChat, GroupChatManager, LLMConfig
+        )
+
+        model_config = llm_config[0] if llm_config else {}
+
+        # Allow YAML top-level llm block to override config_list values
+        yaml_llm = config.get("llm", {}) or {}
+        # Also check first role's llm block as a fallback
+        first_role_llm = {}
+        for role_details in config.get("roles", {}).values():
+            first_role_llm = role_details.get("llm", {}) or {}
+            break
+
+        # Priority: YAML top-level llm > first role llm > config_list > env vars
+        def _resolve(key, env_var=None, default=None):
+            return (yaml_llm.get(key) or first_role_llm.get(key)
+                    or model_config.get(key)
+                    or (os.environ.get(env_var) if env_var else None)
+                    or default)
+
+        api_type = _resolve("api_type", default="openai").lower()
+        model_name = _resolve("model", default="gpt-4o-mini")
+        api_key = _resolve("api_key", env_var="OPENAI_API_KEY")
+        # Use resolver for consistent env-var precedence as fallback
+        try:
+            from praisonai.llm.env import resolve_llm_endpoint
+            ep = resolve_llm_endpoint()
+            base_url = (model_config.get("base_url")
+                        or yaml_llm.get("base_url")
+                        or ep.base_url)
+        except ImportError:
+            base_url = model_config.get("base_url") or yaml_llm.get("base_url")
+
+        # Build LLMConfig — Bedrock needs no api_key
+        if api_type == "bedrock":
+            llm_config_entry = {"api_type": "bedrock", "model": model_name}
+        else:
+            llm_config_entry = {"model": model_name}
+            if api_key:
+                llm_config_entry["api_key"] = api_key
+            if base_url and base_url not in ("https://api.openai.com/v1", "https://api.openai.com/v1/"):
+                llm_config_entry["base_url"] = base_url
+        llm_config = LLMConfig(llm_config_entry)
+
+        user_proxy = UserProxyAgent(
+            name="User",
+            human_input_mode="NEVER",
+            is_termination_msg=lambda x: "TERMINATE" in (x.get("content") or ""),
+            code_execution_config=False,
+        )
+
+        # Create one AssistantAgent per role
+        ag2_agent_entries = []
+        for role, details in config["roles"].items():
+            agent_name = self._format_template(details.get("role", role), topic=topic)
+            backstory = self._format_template(details.get("backstory", ""), topic=topic)
+            agent_name_safe = re.sub(r"[^a-zA-Z0-9_\-]", "_", agent_name)
+            assistant = AssistantAgent(
+                name=agent_name_safe,
+                system_message=backstory + "\nWhen the task is done, reply 'TERMINATE'.",
+                llm_config=llm_config,
+            )
+            ag2_agent_entries.append((role, details, assistant))
+
+        # Register tools via AG2 decorator pattern
+        for role, details, assistant in ag2_agent_entries:
+            for tool_name in details.get("tools", []):
+                tool = tools_dict.get(tool_name) if tools_dict else None
+                if tool is None:
+                    continue
+                func = tool if callable(tool) else getattr(tool, "run", None)
+                if func is None:
+                    continue
+
+                def make_tool_fn(f, name):
+                    def tool_fn(**kwargs):
+                        return f(**kwargs) if callable(f) else str(f)
+                    tool_fn.__name__ = name
+                    return tool_fn
+
+                wrapped = make_tool_fn(func, tool_name)
+                assistant.register_for_llm(description=f"Tool: {tool_name}")(wrapped)
+                user_proxy.register_for_execution()(wrapped)
+
+        all_assistants = [a for _, _, a in ag2_agent_entries]
+        if not all_assistants:
+            return "### AG2 Output ###\nNo agents created from configuration."
+
+        # Build initial message from all task descriptions
+        task_lines = []
+        for role, details, _ in ag2_agent_entries:
+            for task_name, task_details in details.get("tasks", {}).items():
+                desc = self._format_template(task_details.get("description", ""), topic=topic)
+                if desc:
+                    task_lines.append(desc)
+        initial_message = "\n".join(task_lines) if task_lines else topic
+
+        groupchat = GroupChat(
+            agents=[user_proxy] + all_assistants,
+            messages=[],
+            max_round=12,
+        )
+        manager = GroupChatManager(groupchat=groupchat, llm_config=llm_config)
+
+        try:
+            chat_result = user_proxy.initiate_chat(manager, message=initial_message)
+        except Exception as e:
+            return f"### AG2 Error ###\n{str(e)}"
+
+        # Prefer ChatResult.summary if available, otherwise scan messages
+        result_content = ""
+        summary = getattr(chat_result, "summary", None)
+        if summary and isinstance(summary, str) and summary.strip():
+            result_content = re.sub(r'[\s\.\,]*TERMINATE[\s\.\,]*$', '', summary, flags=re.IGNORECASE).strip().rstrip('.')
+
+        if not result_content:
+            for msg in reversed(groupchat.messages):
+                if msg.get("name") == "User":
+                    continue
+                content = (msg.get("content") or "").strip()
+                if content:
+                    result_content = re.sub(r'[\s\.\,]*TERMINATE[\s\.\,]*$', '', content, flags=re.IGNORECASE).strip().rstrip('.')
+                    if result_content:
+                        break
+
+        if not result_content:
+            result_content = "Task completed."
+
+        return f"### AG2 Output ###\n{result_content}"

src/praisonai/praisonai/framework_adapters/crewai_adapter.py

@@ -20,11 +20,8 @@ class CrewAIAdapter(BaseFrameworkAdapter):
     
     def is_available(self) -> bool:
         """Check if CrewAI is available for import."""
-        try:
-            import crewai  # noqa: F401
-            return True
-        except ImportError:
-            return False
+        from .._framework_availability import is_available
+        return is_available("crewai")
     
     def run(
         self,
@@ -53,60 +50,150 @@ class CrewAIAdapter(BaseFrameworkAdapter):
             Execution result as string
         """
         # Import CrewAI only when needed (availability already validated at CLI entry)
+        import os
         from crewai import Agent, Task, Crew
         from crewai.telemetry import Telemetry
+        from ..inc import PraisonAIModel
+        from .._framework_availability import is_available
         
         # Suppress crewai.cli.config logger (scoped to when CrewAI is actually used)
         logging.getLogger('crewai.cli.config').setLevel(logging.ERROR)
         
         # Use scoped telemetry disabling instead of global patching
         with scoped_telemetry_disable(Telemetry):
-            # For now, use simplified CrewAI execution
             agents = {}
             tasks = []
-            
-            # Create agents
-            for agent_name, agent_details in config.get('roles', {}).items():
-                # Resolve tools for this agent from tools_dict
-                agent_tool_list = []
-                if tools_dict:
-                    agent_tools = agent_details.get('tools', [])
-                    agent_tool_list = [tools_dict[t] for t in agent_tools if t in tools_dict]
+            tasks_dict = {}
+
+            # Create agents from config
+            for role, details in config['roles'].items():
+                role_filled = self._format_template(details['role'], topic=topic)
+                goal_filled = self._format_template(details['goal'], topic=topic)
+                backstory_filled = self._format_template(details['backstory'], topic=topic)
                 
+                # Get agent tools
+                agent_tools = [tools_dict[tool] for tool in details.get('tools', []) 
+                             if tools_dict and tool in tools_dict]
+                
+                # Configure LLM
+                llm_model = details.get('llm')
+                if llm_model:
+                    llm = PraisonAIModel(
+                        model=llm_model.get("model") or os.environ.get("MODEL_NAME") or "openai/gpt-4o-mini",
+                        base_url=llm_config[0].get('base_url') if llm_config else None,
+                        api_key=llm_config[0].get('api_key') if llm_config else None
+                    ).get_model()
+                else:
+                    llm = PraisonAIModel(
+                        base_url=llm_config[0].get('base_url') if llm_config else None,
+                        api_key=llm_config[0].get('api_key') if llm_config else None
+                    ).get_model()
+
+                # Configure function calling LLM
+                function_calling_llm_model = details.get('function_calling_llm')
+                if function_calling_llm_model:
+                    function_calling_llm = PraisonAIModel(
+                        model=function_calling_llm_model.get("model") or os.environ.get("MODEL_NAME") or "openai/gpt-4o-mini",
+                        base_url=llm_config[0].get('base_url') if llm_config else None,
+                        api_key=llm_config[0].get('api_key') if llm_config else None
+                    ).get_model()
+                else:
+                    function_calling_llm = PraisonAIModel(
+                        base_url=llm_config[0].get('base_url') if llm_config else None,
+                        api_key=llm_config[0].get('api_key') if llm_config else None
+                    ).get_model()
+
+                # Create CrewAI agent with full feature set
                 agent = Agent(
-                    role=agent_details.get('role', agent_name),
-                    goal=self._format_template(agent_details.get('goal', ''), topic=topic),
-                    backstory=self._format_template(agent_details.get('backstory', ''), topic=topic),
-                    tools=agent_tool_list,
-                    verbose=True,
-                    allow_delegation=agent_details.get('allow_delegation', False)
+                    role=role_filled,
+                    goal=goal_filled,
+                    backstory=backstory_filled,
+                    tools=agent_tools,
+                    allow_delegation=details.get('allow_delegation', False),
+                    llm=llm,
+                    function_calling_llm=function_calling_llm,
+                    max_iter=details.get('max_iter') or 15,
+                    max_rpm=details.get('max_rpm') or None,
+                    max_execution_time=details.get('max_execution_time') or None,
+                    verbose=details.get('verbose', True),
+                    cache=details.get('cache', True),
+                    system_template=details.get('system_template') or None,
+                    prompt_template=details.get('prompt_template') or None,
+                    response_template=details.get('response_template') or None,
                 )
+                
+                # Set agent callback if provided
                 if agent_callback:
                     agent.step_callback = agent_callback
-                agents[agent_name] = agent
-            
-            # Create tasks
-            for agent_name, agent_details in config.get('roles', {}).items():
-                for task_name, task_details in agent_details.get('tasks', {}).items():
+
+                agents[role] = agent
+
+                # Create tasks for the agent
+                for task_name, task_details in details.get('tasks', {}).items():
+                    description_filled = self._format_template(task_details['description'], topic=topic)
+                    expected_output_filled = self._format_template(task_details['expected_output'], topic=topic)
+
+                    # Resolve task tools from tools_dict
+                    task_tools = []
+                    for tool_name in task_details.get('tools', []):
+                        if isinstance(tool_name, str) and tools_dict and tool_name in tools_dict:
+                            task_tools.append(tools_dict[tool_name])
+                        elif callable(tool_name):
+                            # Already a callable tool object
+                            task_tools.append(tool_name)
+
                     task = Task(
-                        description=self._format_template(task_details['description'], topic=topic),
-                        expected_output=self._format_template(task_details['expected_output'], topic=topic),
-                        agent=agents[agent_name]
+                        description=description_filled,
+                        expected_output=expected_output_filled,
+                        agent=agent,
+                        tools=task_tools,
+                        async_execution=task_details.get('async_execution', False),
+                        context=[],
+                        config=task_details.get('config', {}),
+                        output_json=task_details.get('output_json'),
+                        output_pydantic=task_details.get('output_pydantic'),
+                        output_file=task_details.get('output_file', ""),
+                        callback=task_details.get('callback'),
+                        human_input=task_details.get('human_input', False),
+                        create_directory=task_details.get('create_directory', False)
                     )
+                    
+                    # Set task callback if provided
                     if task_callback:
                         task.callback = task_callback
+
                     tasks.append(task)
-            
-            # Create and run crew
+                    tasks_dict[task_name] = task
+
+            # Set up task contexts
+            for details in config['roles'].values():
+                for task_name, task_details in details.get('tasks', {}).items():
+                    task = tasks_dict[task_name]
+                    context_tasks = [tasks_dict[ctx] for ctx in task_details.get('context', []) 
+                                   if ctx in tasks_dict]
+                    task.context = context_tasks
+
+            # Create and run the crew
             crew = Crew(
                 agents=list(agents.values()),
                 tasks=tasks,
                 verbose=True
             )
             
-            logger.info("Starting CrewAI execution...")
-            result = crew.kickoff()
-            logger.info("CrewAI execution completed")
+            logger.debug("Final Crew Configuration:")
+            logger.debug(f"Agents: {crew.agents}")
+            logger.debug(f"Tasks: {crew.tasks}")
+
+            response = crew.kickoff()
+            result = f"### Task Output ###\n{response}"
             
-            return str(result)
+            # AgentOps integration if available
+            if is_available("agentops"):
+                import agentops
+                try:
+                    agentops.end_session("Success")
+                except Exception as e:  # noqa: BLE001 -- agentops errors must not crash the caller
+                    logger.warning(f"agentops.end_session failed: {e}")
+                
+            return result
     

src/praisonai/praisonai/framework_adapters/praisonai_adapter.py

@@ -20,11 +20,8 @@ class PraisonAIAdapter(BaseFrameworkAdapter):
     
     def is_available(self) -> bool:
         """Check if PraisonAI agents is available for import."""
-        try:
-            from praisonaiagents import Agent, Task, AgentTeam  # noqa: F401
-            return True
-        except ImportError:
-            return False
+        from .._framework_availability import is_available
+        return is_available("praisonaiagents")
     
     def run(
         self,
@@ -56,10 +53,11 @@ class PraisonAIAdapter(BaseFrameworkAdapter):
         
         # Import PraisonAI components only when needed
         from praisonaiagents import Agent as PraisonAgent, Task as PraisonTask, AgentTeam
+        from .._framework_availability import is_available
+        import os
         
         logger.info("Starting PraisonAI execution...")
         
-        # Basic implementation - create agents and tasks from config
         agents = {}
         tasks = []
         
@@ -68,89 +66,150 @@ class PraisonAIAdapter(BaseFrameworkAdapter):
         if llm_config and llm_config[0].get('model'):
             model_name = llm_config[0]['model']
         
-        # Create agents from roles
-        for role, details in config.get('roles', {}).items():
-            role_filled = self._format_template(details.get('role', role), topic=topic)
-            goal_filled = self._format_template(details.get('goal', ''), topic=topic)
-            backstory_filled = self._format_template(details.get('backstory', ''), topic=topic)
-            
-            # Resolve tools for this agent from tools_dict
-            agent_tool_list = []
-            if tools_dict:
-                agent_tools = details.get('tools', [])
-                agent_tool_list = [tools_dict[t] for t in agent_tools if t in tools_dict]
-            
-            # Create basic agent
-            agent = PraisonAgent(
-                name=role_filled,
-                role=role_filled,
-                goal=goal_filled,
-                backstory=backstory_filled,
-                instructions=details.get('instructions'),
-                llm=model_name,
-                allow_delegation=details.get('allow_delegation', False),
-                tools=agent_tool_list,
-            )
-            
-            if agent_callback:
-                agent.step_callback = agent_callback
+        # Initialize InteractiveRuntime for ACP/LSP if enabled globally
+        global_config = config.get('config', {})
+        acp_enabled = global_config.get('acp', False)
+        lsp_enabled = global_config.get('lsp', False)
+        interactive_runtime = None
+        interactive_loop = None
+        
+        if acp_enabled or lsp_enabled:
+            try:
+                import asyncio
+                from praisonai.cli.features.interactive_runtime import InteractiveRuntime, RuntimeConfig
+                from praisonai.cli.features.agent_tools import create_agent_centric_tools
                 
-            agents[role] = agent
-            
-            # Create tasks for the agent
-            agent_tasks = details.get('tasks', {})
-            if not agent_tasks:
-                # Auto-generate a task
-                task_description = details.get('instructions') or backstory_filled
-                task = PraisonTask(
-                    description=task_description,
-                    expected_output="Complete the assigned task successfully.",
-                    agent=agent,
+                # Use scoped event loop instead of process-global mutations
+                runtime_config = RuntimeConfig(
+                    workspace=os.getcwd(),
+                    acp_enabled=acp_enabled,
+                    lsp_enabled=lsp_enabled,
+                    approval_mode=os.environ.get("PRAISONAI_APPROVAL_MODE", "prompt")
                 )
-                if task_callback:
-                    task.callback = task_callback
-                tasks.append(task)
-            else:
-                for task_name, task_details in agent_tasks.items():
-                    description_filled = self._format_template(
-                        task_details['description'], topic=topic
-                    )
-                    expected_output_filled = self._format_template(
-                        task_details['expected_output'], topic=topic
-                    )
+                interactive_runtime = InteractiveRuntime(runtime_config)
+                logger.info(f"Starting InteractiveRuntime (ACP: {acp_enabled}, LSP: {lsp_enabled})")
+                
+                # Create a scoped event loop instead of modifying process globals
+                interactive_loop = asyncio.new_event_loop()
+                
+                # Start the runtime but keep it alive for agent execution
+                interactive_loop.run_until_complete(interactive_runtime.start())
+                
+                centric_tools = create_agent_centric_tools(interactive_runtime)
+                logger.info(f"Loaded {len(centric_tools)} InteractiveRuntime tools")
+                
+                # Merge with tools_dict
+                if tools_dict:
+                    tools_dict.update(centric_tools)
+                else:
+                    tools_dict = centric_tools
+                
+            except ImportError as e:
+                logger.warning(f"InteractiveRuntime not available: {e}")
+            except Exception as e:
+                logger.error(f"Error setting up InteractiveRuntime: {e}")
+        try:
+            # Create agents from roles
+            for role, details in config.get('roles', {}).items():
+                role_filled = self._format_template(details.get('role', role), topic=topic)
+                goal_filled = self._format_template(details.get('goal', ''), topic=topic)
+                backstory_filled = self._format_template(details.get('backstory', ''), topic=topic)
+                
+                # Resolve tools for this agent from tools_dict
+                agent_tool_list = []
+                if tools_dict:
+                    agent_tools = details.get('tools', [])
+                    agent_tool_list = [tools_dict[t] for t in agent_tools if t in tools_dict]
+                
+                # Create basic agent
+                agent = PraisonAgent(
+                    name=role_filled,
+                    role=role_filled,
+                    goal=goal_filled,
+                    backstory=backstory_filled,
+                    instructions=details.get('instructions'),
+                    llm=model_name,
+                    allow_delegation=details.get('allow_delegation', False),
+                    tools=agent_tool_list,
+                )
+                
+                if agent_callback:
+                    agent.step_callback = agent_callback
                     
+                agents[role] = agent
+                
+                # Create tasks for the agent
+                agent_tasks = details.get('tasks', {})
+                if not agent_tasks:
+                    # Auto-generate a task
+                    task_description = details.get('instructions') or backstory_filled
                     task = PraisonTask(
-                        description=description_filled,
-                        expected_output=expected_output_filled,
+                        description=task_description,
+                        expected_output="Complete the assigned task successfully.",
                         agent=agent,
                     )
-                    
                     if task_callback:
                         task.callback = task_callback
-                    
                     tasks.append(task)
-        
-        # Create and run the team
-        memory = config.get('memory', False)
-        
-        if config.get('process') == 'hierarchical':
-            team = AgentTeam(
-                agents=list(agents.values()),
-                tasks=tasks,
-                process="hierarchical",
-                manager_llm=config.get('manager_llm') or model_name,
-                memory=memory
-            )
-        else:
-            team = AgentTeam(
-                agents=list(agents.values()),
-                tasks=tasks,
-                memory=memory
-            )
-        
-        response = team.start()
-        result = f"### PraisonAI Output ###\n{response}" if response else "### PraisonAI Output ###\nTask completed."
-        
-        logger.info("PraisonAI execution completed")
-        return result
+                else:
+                    for task_name, task_details in agent_tasks.items():
+                        description_filled = self._format_template(
+                            task_details['description'], topic=topic
+                        )
+                        expected_output_filled = self._format_template(
+                            task_details['expected_output'], topic=topic
+                        )
+                        
+                        task = PraisonTask(
+                            description=description_filled,
+                            expected_output=expected_output_filled,
+                            agent=agent,
+                        )
+                        
+                        if task_callback:
+                            task.callback = task_callback
+                        
+                        tasks.append(task)
+            
+            # Create and run the team
+            memory = config.get('memory', False)
+            
+            if config.get('process') == 'hierarchical':
+                team = AgentTeam(
+                    agents=list(agents.values()),
+                    tasks=tasks,
+                    process="hierarchical",
+                    manager_llm=config.get('manager_llm') or model_name,
+                    memory=memory
+                )
+            else:
+                team = AgentTeam(
+                    agents=list(agents.values()),
+                    tasks=tasks,
+                    memory=memory
+                )
+            
+            response = team.start()
+            result = f"### PraisonAI Output ###\n{response}" if response else "### PraisonAI Output ###\nTask completed."
+            
+            # AgentOps integration if available
+            if is_available("agentops"):
+                import agentops
+                try:
+                    agentops.end_session("Success")
+                except Exception as e:  # noqa: BLE001 -- agentops errors must not crash the caller
+                    logger.warning(f"agentops.end_session failed: {e}")
+            
+            logger.info("PraisonAI execution completed")
+            return result
+        finally:
+            # Cleanup InteractiveRuntime if it was started
+            if interactive_runtime and interactive_loop:
+                try:
+                    logger.info("Stopping InteractiveRuntime")
+                    interactive_loop.run_until_complete(interactive_runtime.stop())
+                except Exception as e:
+                    logger.error(f"Error stopping InteractiveRuntime: {e}")
+                finally:
+                    interactive_loop.close()
     

src/praisonai/praisonai/inbuilt_tools/__init__.py

@@ -2,8 +2,9 @@
 import importlib.util
 from praisonai.auto import _load_optional
 
-CREWAI_AVAILABLE = importlib.util.find_spec("crewai") is not None
-AUTOGEN_AVAILABLE = importlib.util.find_spec("autogen") is not None
+from .._framework_availability import is_available
+CREWAI_AVAILABLE = is_available("crewai")
+AUTOGEN_AVAILABLE = is_available("autogen")
 PRAISONAI_TOOLS_PACKAGE_AVAILABLE = importlib.util.find_spec("praisonai_tools") is not None
 
 
@@ -30,4 +31,4 @@ def __getattr__(name):
     tools_module = _get_autogen_tools()
     if tools_module is not None and hasattr(tools_module, name):
         return getattr(tools_module, name)
-    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")

src/praisonai/praisonai/persistence/_valkey_client.py

@@ -0,0 +1,44 @@
+"""
+Shared Valkey client factory.
+
+Centralises GlideClientSync creation so that ValkeyStateStore,
+ValkeyVectorKnowledgeStore, and ValkeyStorageAdapter all use the
+same connection logic.
+"""
+
+from typing import Optional
+
+try:
+    from glide_sync import (
+        GlideClient as GlideClientSync,
+        GlideClientConfiguration,
+        NodeAddress,
+        ServerCredentials,
+    )
+except ImportError:
+    GlideClientSync = None
+    GlideClientConfiguration = NodeAddress = ServerCredentials = None
+
+_MISSING_MSG = (
+    "valkey-glide-sync is required for Valkey support. "
+    "Install with: pip install 'praisonai[valkey]'"
+)
+
+
+def create_valkey_client(
+    host: str = "localhost",
+    port: int = 6379,
+    password: Optional[str] = None,
+    db: int = 0,
+):
+    """Create and return a GlideClientSync instance."""
+    if GlideClientSync is None:
+        raise ImportError(_MISSING_MSG)
+    addresses = [NodeAddress(host, port)]
+    creds = ServerCredentials(password=password) if password else None
+    config = GlideClientConfiguration(
+        addresses=addresses,
+        credentials=creds,
+        database_id=db,
+    )
+    return GlideClientSync.create(config)

src/praisonai/praisonai/persistence/knowledge/valkey_vector.py

@@ -0,0 +1,397 @@
+"""
+Valkey Vector implementation of KnowledgeStore.
+
+Requires: valkey-glide-sync
+Install: pip install 'praisonai[valkey]'
+"""
+
+import re
+import struct
+from typing import Any, Dict, List, Optional
+
+from .base import KnowledgeStore, KnowledgeDocument, validate_identifier
+from .._valkey_client import create_valkey_client
+
+try:
+    from glide_sync import ft
+    from glide_sync import (
+        TextField, NumericField, VectorField, VectorFieldAttributesHnsw,
+        VectorAlgorithm, DistanceMetricType, VectorType,
+        FtCreateOptions, DataType, FtSearchOptions, ReturnField,
+    )
+    from glide_sync import Batch
+except ImportError:
+    ft = None
+    Batch = None
+    TextField = NumericField = VectorField = VectorFieldAttributesHnsw = None
+    VectorAlgorithm = DistanceMetricType = VectorType = None
+    FtCreateOptions = DataType = FtSearchOptions = ReturnField = None
+
+
+_SEARCH_SPECIAL_RE = re.compile(r'([,.<>{}\[\]"\'\\:;!@#$%^&*()\-+=~?/| \t])')
+_FIELD_NAME_RE = re.compile(r'^[a-zA-Z0-9_]+$')
+
+
+def _escape_search_value(value: str) -> str:
+    return _SEARCH_SPECIAL_RE.sub(r'\\\1', str(value))
+
+
+def _decode(v) -> str:
+    return v.decode() if isinstance(v, bytes) else v
+
+
+class ValkeyVectorKnowledgeStore(KnowledgeStore):
+    """
+    Valkey-based knowledge store using ValkeySearch FT commands for vector search.
+
+    Requires Valkey with ValkeySearch module.
+
+    Example:
+        store = ValkeyVectorKnowledgeStore(
+            host="localhost",
+            port=6379,
+        )
+    """
+
+    def __init__(
+        self,
+        host: str = "localhost",
+        port: int = 6379,
+        password: Optional[str] = None,
+        prefix: str = "praison:vec:",
+    ):
+        self.host = host
+        self.port = port
+        self.password = password
+        self.prefix = prefix
+        self._client = None
+
+    def _get_client(self):
+        """Lazy initialize Valkey client."""
+        if self._client is None:
+            self._client = create_valkey_client(
+                host=self.host,
+                port=self.port,
+                password=self.password,
+            )
+        return self._client
+
+    def _index_name(self, collection: str) -> str:
+        return f"{self.prefix}{collection}:idx"
+
+    def _doc_key(self, collection: str, doc_id: str) -> str:
+        return f"{self.prefix}{collection}:{doc_id}"
+
+    def create_collection(
+        self,
+        name: str,
+        dimension: int,
+        distance: str = "cosine",
+        metadata: Optional[Dict[str, Any]] = None,
+    ) -> None:
+        """Create a new index."""
+        validate_identifier(name, "collection name")
+        client = self._get_client()
+        index_name = self._index_name(name)
+
+        try:
+            dist_enum = {"cosine": DistanceMetricType.COSINE, "euclidean": DistanceMetricType.L2, "dot": DistanceMetricType.IP}.get(distance, DistanceMetricType.COSINE)
+            schema = [
+                TextField("content"),
+                TextField("content_hash"),
+                NumericField("created_at"),
+                VectorField("embedding", VectorAlgorithm.HNSW, VectorFieldAttributesHnsw(dimension, dist_enum, VectorType.FLOAT32)),
+            ]
+            options = FtCreateOptions(DataType.HASH, prefixes=[f"{self.prefix}{name}:"])
+            ft.create(client, index_name, schema, options)
+        except Exception as e:
+            err = str(e)
+            if "already exists" not in err.lower():
+                raise RuntimeError(f"Failed to create collection in Valkey: {e}") from e
+
+    def delete_collection(self, name: str) -> bool:
+        """Delete an index and all documents."""
+        client = self._get_client()
+        index_name = self._index_name(name)
+        try:
+            ft.dropindex(client, index_name)
+        except Exception as e:
+            # Only return False for index not found, re-raise other errors
+            err_msg = str(e).lower()
+            if "index not found" in err_msg or "unknown index" in err_msg:
+                return False
+            raise RuntimeError(f"Failed to delete collection: {e}") from e
+
+        # Manually remove orphaned document hashes left behind (no DD flag in ValkeySearch)
+        pattern = f"{self.prefix}{name}:*"
+        cursor: bytes = b"0"
+        while True:
+            result = client.scan(cursor, match=pattern, count=100)
+            cursor = result[0]
+            keys = result[1] or []
+            if keys:
+                client.delete(keys)
+            if not cursor or cursor in (b"0", "0", 0):
+                break
+
+        return True
+
+    def collection_exists(self, name: str) -> bool:
+        """Check if an index exists."""
+        client = self._get_client()
+        index_name = self._index_name(name)
+        try:
+            ft.info(client, index_name)
+            return True
+        except Exception as e:
+            # Only return False for index not found, re-raise other errors
+            err_msg = str(e).lower()
+            if "index not found" in err_msg or "unknown index" in err_msg:
+                return False
+            raise RuntimeError(f"Failed to check collection existence: {e}") from e
+
+    def list_collections(self) -> List[str]:
+        """List all collections."""
+        client = self._get_client()
+        try:
+            indexes = ft.list(client)
+            if not indexes:
+                return []
+            result = []
+            for idx in indexes:
+                idx_str = _decode(idx)
+                if idx_str.startswith(self.prefix):
+                    name = idx_str[len(self.prefix):]
+                    if name.endswith(":idx"):
+                        name = name[:-4]
+                    result.append(name)
+            return result
+        except Exception as e:
+            # Only return empty list for connection/auth issues in some contexts
+            # but generally we should propagate errors
+            raise RuntimeError(f"Failed to list collections: {e}") from e
+
+    def insert(
+        self,
+        collection: str,
+        documents: List[KnowledgeDocument],
+    ) -> List[str]:
+        """Insert documents using a non-atomic batch (pipeline)."""
+        client = self._get_client()
+        ids = []
+        batch = Batch(is_atomic=False)
+
+        for doc in documents:
+            if doc.embedding is None:
+                raise ValueError(f"Document {doc.id} has no embedding")
+
+            key = self._doc_key(collection, doc.id)
+            embedding_bytes = struct.pack(f"{len(doc.embedding)}f", *doc.embedding)
+
+            batch.hset(key, {
+                "content": doc.content,
+                "content_hash": doc.content_hash or "",
+                "created_at": str(doc.created_at),
+                "metadata": json.dumps(doc.metadata or {}),
+                "embedding": embedding_bytes,
+            })
+            ids.append(doc.id)
+
+        try:
+            client.exec(batch, raise_on_error=True)
+        except Exception as e:
+            raise RuntimeError(f"Failed to insert documents into Valkey: {e}") from e
+
+        return ids
+
+    def upsert(
+        self,
+        collection: str,
+        documents: List[KnowledgeDocument],
+    ) -> List[str]:
+        """Insert or update documents."""
+        return self.insert(collection, documents)
+
+    def search(
+        self,
+        collection: str,
+        query_embedding: List[float],
+        limit: int = 5,
+        filters: Optional[Dict[str, Any]] = None,
+        score_threshold: Optional[float] = None,
+    ) -> List[KnowledgeDocument]:
+        """Search for similar documents.
+
+        Args:
+            collection: Collection name.
+            query_embedding: Query vector.
+            limit: Max results.
+            filters: Optional dict of field-value equality filters applied as
+                a ValkeySearch pre-filter (e.g. {"content_hash": "abc"}).
+            score_threshold: Minimum similarity (1 - distance) to include.
+                NOTE: Currently only accurate for cosine distance. For euclidean/L2 
+                and inner-product distances, the threshold behavior may be incorrect.
+        """
+        client = self._get_client()
+        index_name = self._index_name(collection)
+        packed = struct.pack(f"{len(query_embedding)}f", *query_embedding)
+
+        # Build pre-filter expression
+        if filters:
+            filter_parts = []
+            for field, value in filters.items():
+                if not _FIELD_NAME_RE.match(field):
+                    raise ValueError(f"Invalid filter field name: {field!r}")
+                if not isinstance(value, str):
+                    raise TypeError(
+                        f"Filter value for {field!r} must be a string, got {type(value).__name__}"
+                    )
+                escaped = _escape_search_value(value)
+                filter_parts.append(f"@{field}:({escaped})")
+            pre_filter = " ".join(filter_parts)
+            query = f"({pre_filter})=>[KNN {limit} @embedding $vec AS score]"
+        else:
+            query = f"*=>[KNN {limit} @embedding $vec AS score]"
+
+        try:
+            options = FtSearchOptions(
+                return_fields=[
+                    ReturnField("content"),
+                    ReturnField("content_hash"),
+                    ReturnField("created_at"),
+                    ReturnField("metadata"),
+                    ReturnField("score"),
+                ],
+                params={"vec": packed},
+            )
+            raw = ft.search(client, index_name, query, options)
+        except Exception as e:
+            raise RuntimeError(f"Failed to search Valkey: {e}") from e
+
+        # ft.search returns [count, {doc_id: {field: value, ...}, ...}]
+        if not raw or len(raw) < 2:
+            return []
+
+        documents = []
+        key_prefix = f"{self.prefix}{collection}:"
+        for doc_id_raw, fields in raw[1].items():
+            doc_id_str = _decode(doc_id_raw)
+            bare_id = doc_id_str.removeprefix(key_prefix)
+
+            field_map: Dict[str, str] = {}
+            for fname, fval in fields.items():
+                fname = _decode(fname)
+                fval = _decode(fval)
+                field_map[fname] = fval
+
+            score = float(field_map.get("score", 0))
+            similarity = 1 - score
+
+            if score_threshold is not None and similarity < score_threshold:
+                continue
+
+            documents.append(KnowledgeDocument(
+                id=bare_id,
+                content=field_map.get("content", ""),
+                embedding=None,
+                metadata=json.loads(field_map.get("metadata", "{}") or "{}"),
+                content_hash=field_map.get("content_hash", ""),
+                created_at=float(field_map.get("created_at", 0)),
+            ))
+
+        return documents
+
+    def get(
+        self,
+        collection: str,
+        ids: List[str],
+    ) -> List[KnowledgeDocument]:
+        """Get documents by IDs using a non-atomic batch (pipeline)."""
+        client = self._get_client()
+        keys = [self._doc_key(collection, doc_id) for doc_id in ids]
+
+        batch = Batch(is_atomic=False)
+        for key in keys:
+            batch.hgetall(key)
+
+        try:
+            results = client.exec(batch, raise_on_error=True)
+        except Exception as e:
+            raise RuntimeError(f"Failed to get documents from Valkey: {e}") from e
+
+        documents = []
+        for doc_id, data in zip(ids, results):
+            if data:
+                embedding = None
+                emb_key = b"embedding" if b"embedding" in data else "embedding"
+                if emb_key in data:
+                    raw_bytes = data[emb_key]
+                    count = len(raw_bytes) // 4
+                    embedding = list(struct.unpack(f"{count}f", raw_bytes))
+
+                content = _decode(data.get(b"content", data.get("content", b"")))
+                content_hash = _decode(data.get(b"content_hash", data.get("content_hash", b"")))
+                created_at_raw = data.get(b"created_at", data.get("created_at", b"0"))
+                created_at = float(_decode(created_at_raw))
+                metadata_raw = _decode(data.get(b"metadata", data.get("metadata", b"{}")))
+                metadata = json.loads(metadata_raw or "{}")
+
+                doc = KnowledgeDocument(
+                    id=doc_id,
+                    content=content,
+                    embedding=embedding,
+                    metadata=metadata,
+                    content_hash=content_hash,
+                    created_at=created_at,
+                )
+                documents.append(doc)
+
+        return documents
+
+    def delete(
+        self,
+        collection: str,
+        ids: Optional[List[str]] = None,
+        filters: Optional[Dict[str, Any]] = None,
+    ) -> int:
+        """Delete documents by IDs. Filter-based deletion is not supported."""
+        if filters and not ids:
+            raise NotImplementedError("Filter-based deletion is not supported by the Valkey backend")
+        if not ids:
+            return 0
+
+        client = self._get_client()
+        keys = [self._doc_key(collection, doc_id) for doc_id in ids]
+
+        try:
+            deleted = client.delete(keys)
+        except Exception as e:
+            raise RuntimeError(f"Failed to delete documents from Valkey: {e}") from e
+
+        return deleted
+
+    def count(self, collection: str) -> int:
+        """Count documents in a collection."""
+        client = self._get_client()
+        index_name = self._index_name(collection)
+        try:
+            info = ft.info(client, index_name)
+            # ft.info returns a Mapping; num_docs may be bytes key
+            for k in (b"num_docs", "num_docs"):
+                if k in info:
+                    return int(info[k])
+            return 0
+        except Exception as e:
+            # Only return 0 for index not found, re-raise other errors
+            err_msg = str(e).lower()
+            if "index not found" in err_msg or "unknown index" in err_msg:
+                return 0
+            raise RuntimeError(f"Failed to count documents: {e}") from e
+
+    def close(self) -> None:
+        """Close the store."""
+        if self._client:
+            try:
+                self._client.close()
+            finally:
+                self._client = None

src/praisonai/praisonai/persistence/registry.py

@@ -198,7 +198,16 @@ def _register_builtin_knowledge_stores(registry: StoreRegistry):
     def _redis_vector(url=None, **kwargs):
         from .knowledge.redis_vector import RedisVectorKnowledgeStore
         return RedisVectorKnowledgeStore(url=url, **kwargs)
-    
+
+    def _valkey_vector(url=None, **kwargs):
+        from .knowledge.valkey_vector import ValkeyVectorKnowledgeStore
+        if url is not None:
+            raise ValueError(
+                "Valkey vector store does not accept 'url' parameter. "
+                "Use host/port/password kwargs instead."
+            )
+        return ValkeyVectorKnowledgeStore(**kwargs)
+
     def _cassandra(url=None, **kwargs):
         kwargs.pop("url", None)  # Cassandra doesn't use url parameter
         from .knowledge.cassandra import CassandraKnowledgeStore
@@ -258,9 +267,10 @@ def _register_builtin_knowledge_stores(registry: StoreRegistry):
     registry.register("milvus", _milvus)
     registry.register("pgvector", _pgvector)
     registry.register("redis", _redis_vector)
+    registry.register("valkey", _valkey_vector)
     registry.register("cassandra", _cassandra)
     registry.register("clickhouse", _clickhouse)
-    registry.register("mongodb_vector", _mongodb_vector, 
+    registry.register("mongodb_vector", _mongodb_vector,
         aliases=("mongodb_atlas", "mongo_vector"))
     
     # Register missing backends that were supported in old factory
@@ -286,7 +296,16 @@ def _register_builtin_state_stores(registry: StoreRegistry):
     def _redis(url=None, **kwargs):
         from .state.redis import RedisStateStore
         return RedisStateStore(url=url, **kwargs)
-    
+
+    def _valkey(url=None, **kwargs):
+        from .state.valkey import ValkeyStateStore
+        if url is not None:
+            raise ValueError(
+                "Valkey state store does not accept 'url' parameter. "
+                "Use host/port/password kwargs instead."
+            )
+        return ValkeyStateStore(**kwargs)
+
     def _dynamodb(url=None, **kwargs):
         kwargs.pop("url", None)  # DynamoDB doesn't use url parameter
         from .state.dynamodb import DynamoDBStateStore
@@ -322,10 +341,11 @@ def _register_builtin_state_stores(registry: StoreRegistry):
         return GCSStateStore(bucket_name=bucket, **kwargs)
     
     registry.register("redis", _redis)
+    registry.register("valkey", _valkey)
     registry.register("dynamodb", _dynamodb)
     registry.register("firestore", _firestore)
     registry.register("mongodb", _mongodb)
-    registry.register("async_mongodb", _async_mongodb, 
+    registry.register("async_mongodb", _async_mongodb,
         aliases=("motor", "mongodb_async"))
     registry.register("upstash", _upstash)
     registry.register("memory", _memory)

src/praisonai/praisonai/persistence/state/valkey.py

@@ -0,0 +1,233 @@
+"""
+Valkey implementation of StateStore.
+
+Requires: valkey-glide-sync
+Install: pip install 'praisonai[valkey]'
+"""
+
+import json
+from typing import Any, Dict, List, Optional
+
+from .base import StateStore
+from .._valkey_client import create_valkey_client
+
+try:
+    from glide_sync import ExpirySet, ExpiryType
+except ImportError:
+    ExpirySet = None
+    ExpiryType = None
+
+
+class ValkeyStateStore(StateStore):
+    """
+    Valkey-based state store for fast key-value operations.
+
+    Example:
+        store = ValkeyStateStore(
+            host="localhost",
+            port=6379,
+        )
+    """
+
+    def __init__(
+        self,
+        host: str = "localhost",
+        port: int = 6379,
+        password: Optional[str] = None,
+        prefix: str = "praison:",
+        db: int = 0,
+    ):
+        self.host = host
+        self.port = port
+        self.password = password
+        self.prefix = prefix
+        self.db = db
+        self._client = None
+
+    def _get_client(self):
+        """Lazy initialize Valkey client."""
+        if self._client is None:
+            self._client = create_valkey_client(
+                host=self.host,
+                port=self.port,
+                password=self.password,
+                db=self.db,
+            )
+        return self._client
+
+    def _key(self, key: str) -> str:
+        """Add prefix to key."""
+        return f"{self.prefix}{key}"
+
+    def get(self, key: str) -> Optional[Any]:
+        """Get a value by key."""
+        client = self._get_client()
+        try:
+            value = client.get(self._key(key))
+        except Exception as e:
+            raise RuntimeError(f"Failed to get key from Valkey: {e}") from e
+
+        if value is None:
+            return None
+        if isinstance(value, bytes):
+            value = value.decode()
+        try:
+            return json.loads(value)
+        except json.JSONDecodeError:
+            return value
+
+    def set(self, key: str, value: Any, ttl: Optional[int] = None) -> None:
+        """Set a value with optional TTL."""
+        client = self._get_client()
+        value = json.dumps(value)
+
+        try:
+            if ttl is not None:
+                if ExpirySet is None or ExpiryType is None:
+                    from .._valkey_client import _MISSING_MSG
+                    raise ImportError(_MISSING_MSG)
+                client.set(self._key(key), value, expiry=ExpirySet(ExpiryType.SEC, ttl))
+            else:
+                client.set(self._key(key), value)
+        except ImportError:
+            raise
+        except Exception as e:
+            raise RuntimeError(f"Failed to set key in Valkey: {e}") from e
+
+    def delete(self, key: str) -> bool:
+        """Delete a key."""
+        client = self._get_client()
+        try:
+            return client.delete([self._key(key)]) > 0
+        except Exception as e:
+            raise RuntimeError(f"Failed to delete key from Valkey: {e}") from e
+
+    def exists(self, key: str) -> bool:
+        """Check if a key exists."""
+        client = self._get_client()
+        try:
+            return client.exists([self._key(key)]) > 0
+        except Exception as e:
+            raise RuntimeError(f"Failed to check key existence in Valkey: {e}") from e
+
+    def keys(self, pattern: str = "*") -> List[str]:
+        """List keys matching pattern."""
+        client = self._get_client()
+        full_pattern = self._key(pattern)
+        try:
+            cursor: bytes = b"0"
+            all_keys = []
+            while True:
+                result = client.scan(cursor, match=full_pattern, count=100)
+                cursor = result[0]
+                all_keys.extend(result[1] or [])
+                if not cursor or cursor in (b"0", "0"):
+                    break
+            prefix_len = len(self.prefix)
+            result_keys = []
+            for k in all_keys:
+                k_str = k.decode() if isinstance(k, bytes) else k
+                result_keys.append(k_str[prefix_len:] if k_str.startswith(self.prefix) else k_str)
+            return result_keys
+        except Exception as e:
+            raise RuntimeError(f"Failed to list keys from Valkey: {e}") from e
+
+    def ttl(self, key: str) -> Optional[int]:
+        """Get remaining TTL in seconds."""
+        client = self._get_client()
+        try:
+            result = client.ttl(self._key(key))
+        except Exception as e:
+            raise RuntimeError(f"Failed to get TTL from Valkey: {e}") from e
+
+        if result is None or result < 0:
+            return None
+        return int(result)
+
+    def expire(self, key: str, ttl: int) -> bool:
+        """Set TTL on existing key."""
+        client = self._get_client()
+        try:
+            return bool(client.expire(self._key(key), ttl))
+        except Exception as e:
+            raise RuntimeError(f"Failed to set expire in Valkey: {e}") from e
+
+    def hget(self, key: str, field: str) -> Optional[Any]:
+        """Get a field from a hash."""
+        client = self._get_client()
+        try:
+            value = client.hget(self._key(key), field)
+        except Exception as e:
+            raise RuntimeError(f"Failed to hget from Valkey: {e}") from e
+
+        if value is None:
+            return None
+        if isinstance(value, bytes):
+            value = value.decode()
+        try:
+            return json.loads(value)
+        except json.JSONDecodeError:
+            return value
+
+    def hset(self, key: str, field: str, value: Any) -> None:
+        """Set a field in a hash."""
+        client = self._get_client()
+        value = json.dumps(value)
+        try:
+            client.hset(self._key(key), {field: value})
+        except Exception as e:
+            raise RuntimeError(f"Failed to hset in Valkey: {e}") from e
+
+    def hgetall(self, key: str) -> Dict[str, Any]:
+        """Get all fields from a hash."""
+        client = self._get_client()
+        try:
+            data = client.hgetall(self._key(key))
+        except Exception as e:
+            raise RuntimeError(f"Failed to hgetall from Valkey: {e}") from e
+
+        result = {}
+        if not data:
+            return result
+        for k, v in data.items():
+            k_str = k.decode() if isinstance(k, bytes) else k
+            v_str = v.decode() if isinstance(v, bytes) else v
+            try:
+                result[k_str] = json.loads(v_str)
+            except (json.JSONDecodeError, TypeError):
+                result[k_str] = v_str
+        return result
+
+    def hdel(self, key: str, *fields: str) -> int:
+        """Delete fields from a hash."""
+        if not fields:
+            return 0
+        client = self._get_client()
+        try:
+            return client.hdel(self._key(key), list(fields))
+        except Exception as e:
+            raise RuntimeError(f"Failed to hdel from Valkey: {e}") from e
+
+    def incr(self, key: str, amount: int = 1) -> int:
+        """Increment a counter."""
+        client = self._get_client()
+        try:
+            return client.incrby(self._key(key), amount)
+        except Exception as e:
+            raise RuntimeError(f"Failed to increment key in Valkey: {e}") from e
+
+    def decr(self, key: str, amount: int = 1) -> int:
+        """Decrement a counter."""
+        client = self._get_client()
+        try:
+            return client.decrby(self._key(key), amount)
+        except Exception as e:
+            raise RuntimeError(f"Failed to decrement key in Valkey: {e}") from e
+
+    def close(self) -> None:
+        """Close the store."""
+        if self._client:
+            try:
+                self._client.close()
+            finally:
+                self._client = None

src/praisonai/praisonai/persistence/tests/test_valkey_backends.py

@@ -0,0 +1,492 @@
+"""
+Tests for ValkeyVectorKnowledgeStore, ValkeyStateStore, and registry integration.
+
+Tests cover:
+- ValkeyVectorKnowledgeStore collection and document operations (mocked glide client)
+- ValkeyStateStore key-value operations (mocked glide client)
+- KNOWLEDGE_STORES and STATE_STORES registry entries for "valkey"
+"""
+
+import json
+import struct
+from unittest.mock import MagicMock, patch
+
+from praisonai.persistence.knowledge.base import KnowledgeDocument
+from praisonai.persistence.registry import KNOWLEDGE_STORES, STATE_STORES
+
+
+def _make_knowledge_store():
+    """Return a ValkeyVectorKnowledgeStore with a pre-injected MagicMock client."""
+    from praisonai.persistence.knowledge.valkey_vector import ValkeyVectorKnowledgeStore
+
+    store = ValkeyVectorKnowledgeStore.__new__(ValkeyVectorKnowledgeStore)
+    store.host = "localhost"
+    store.port = 6379
+    store.password = None
+    store.prefix = "praison:vec:"
+    mock_client = MagicMock()
+    store._client = mock_client
+    store._get_client = lambda: mock_client
+
+    return store, mock_client
+
+
+def _make_state_store():
+    """Return a ValkeyStateStore with a pre-injected MagicMock client."""
+    from praisonai.persistence.state.valkey import ValkeyStateStore
+
+    store = ValkeyStateStore.__new__(ValkeyStateStore)
+    store.host = "localhost"
+    store.port = 6379
+    store.password = None
+    store.prefix = "praison:"
+    store.db = 0
+    mock_client = MagicMock()
+    store._client = mock_client
+    store._get_client = lambda: mock_client
+
+    return store, mock_client
+
+
+class TestValkeyVectorKnowledgeStore:
+    """Tests for ValkeyVectorKnowledgeStore."""
+
+    _FT_MODULE = "praisonai.persistence.knowledge.valkey_vector.ft"
+
+    def _mock_ft(self, **method_returns):
+        """Return a mock ft module with configured method returns."""
+        mock_ft = MagicMock()
+        for name, val in method_returns.items():
+            if isinstance(val, Exception):
+                getattr(mock_ft, name).side_effect = val
+            else:
+                getattr(mock_ft, name).return_value = val
+        return mock_ft
+
+    def test_create_collection(self):
+        """Test create_collection calls ft.create with HNSW schema."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(create=b"OK")
+
+        with patch(self._FT_MODULE, mock_ft):
+            store.create_collection("docs", dimension=4)
+
+        mock_ft.create.assert_called_once()
+        assert mock_ft.create.call_args[0][1] == "praison:vec:docs:idx"
+
+    def test_create_collection_already_exists(self):
+        """Test create_collection silently ignores 'already exists' error."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(create=Exception("already exists"))
+
+        with patch(self._FT_MODULE, mock_ft):
+            store.create_collection("docs", dimension=4)  # should not raise
+
+    def test_delete_collection(self):
+        """Test delete_collection calls ft.dropindex and returns True on success."""
+        store, mock_client = _make_knowledge_store()
+        mock_ft = self._mock_ft(dropindex=b"OK")
+        mock_client.scan.return_value = [b"0", []]
+
+        with patch(self._FT_MODULE, mock_ft):
+            result = store.delete_collection("docs")
+
+        assert result is True
+        mock_ft.dropindex.assert_called_once()
+
+    def test_collection_exists_true(self):
+        """Test collection_exists returns True when ft.info succeeds."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(info={b"index_name": b"praison:vec:docs:idx"})
+
+        with patch(self._FT_MODULE, mock_ft):
+            result = store.collection_exists("docs")
+
+        assert result is True
+
+    def test_collection_exists_false(self):
+        """Test collection_exists returns False when ft.info raises an exception."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(info=Exception("Unknown index name"))
+
+        with patch(self._FT_MODULE, mock_ft):
+            result = store.collection_exists("docs")
+
+        assert result is False
+
+    def test_list_collections(self):
+        """Test list_collections returns only names matching the prefix, stripped."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(list=[b"praison:vec:docs:idx", b"other:idx"])
+
+        with patch(self._FT_MODULE, mock_ft):
+            result = store.list_collections()
+
+        assert "docs" in result
+        assert all("other" not in name for name in result)
+
+    def test_insert(self):
+        """Test insert uses Batch pipeline and calls client.exec."""
+        store, mock_client = _make_knowledge_store()
+        mock_client.exec.return_value = [4]
+
+        embedding = [0.1, 0.2, 0.3, 0.4]
+        doc = KnowledgeDocument(id="doc1", content="hello", embedding=embedding)
+        ids = store.insert("docs", [doc])
+
+        mock_client.exec.assert_called_once()
+        assert ids == ["doc1"]
+
+    def test_upsert_delegates_to_insert(self):
+        """Test upsert calls insert (same path)."""
+        store, mock_client = _make_knowledge_store()
+        mock_client.exec.return_value = [4]
+
+        doc = KnowledgeDocument(id="doc1", content="hello", embedding=[0.1, 0.2, 0.3, 0.4])
+        store.upsert("docs", [doc])
+
+        mock_client.exec.assert_called_once()
+
+    def test_search(self):
+        """Test search calls ft.search and returns a list of KnowledgeDocument."""
+        store, _ = _make_knowledge_store()
+        ft_result = [1, {
+            b"praison:vec:docs:doc1": {
+                b"content": b"hello",
+                b"content_hash": b"abc",
+                b"created_at": b"1234.0",
+                b"score": b"0.1",
+            }
+        }]
+        mock_ft = self._mock_ft(search=ft_result)
+
+        with patch(self._FT_MODULE, mock_ft):
+            results = store.search("docs", query_embedding=[0.1, 0.2, 0.3, 0.4], limit=5)
+
+        assert isinstance(results, list)
+        assert len(results) == 1
+        assert isinstance(results[0], KnowledgeDocument)
+        assert results[0].id == "doc1"
+        mock_ft.search.assert_called_once()
+
+    def test_search_with_filters(self):
+        """Test search with filters builds a pre-filter KNN query."""
+        store, _ = _make_knowledge_store()
+        ft_result = [1, {
+            b"praison:vec:docs:doc1": {
+                b"content": b"hello",
+                b"content_hash": b"abc",
+                b"created_at": b"1234.0",
+                b"score": b"0.1",
+            }
+        }]
+        mock_ft = self._mock_ft(search=ft_result)
+
+        with patch(self._FT_MODULE, mock_ft):
+            results = store.search(
+                "docs",
+                query_embedding=[0.1, 0.2, 0.3, 0.4],
+                limit=5,
+                filters={"content_hash": "abc"},
+            )
+
+        assert len(results) == 1
+        query_arg = mock_ft.search.call_args[0][2]
+        assert "KNN" in query_arg
+        assert query_arg.startswith("(")
+
+    def test_search_score_threshold_excludes_low_similarity(self):
+        """Test search excludes documents whose similarity is below score_threshold."""
+        store, _ = _make_knowledge_store()
+        ft_result = [2, {
+            b"praison:vec:docs:doc1": {
+                b"content": b"close",
+                b"content_hash": b"",
+                b"created_at": b"1.0",
+                b"score": b"0.05",  # similarity = 0.95 — above threshold
+            },
+            b"praison:vec:docs:doc2": {
+                b"content": b"far",
+                b"content_hash": b"",
+                b"created_at": b"2.0",
+                b"score": b"0.8",   # similarity = 0.2 — below threshold
+            },
+        }]
+        mock_ft = self._mock_ft(search=ft_result)
+
+        with patch(self._FT_MODULE, mock_ft):
+            results = store.search(
+                "docs",
+                query_embedding=[0.1, 0.2, 0.3, 0.4],
+                limit=5,
+                score_threshold=0.5,
+            )
+
+        assert len(results) == 1
+        assert results[0].id == "doc1"
+
+    def test_search_empty_result(self):
+        """Test search returns an empty list when ft.search returns no documents."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(search=[])
+
+        with patch(self._FT_MODULE, mock_ft):
+            results = store.search("docs", query_embedding=[0.1, 0.2, 0.3, 0.4])
+
+        assert results == []
+
+    def test_get(self):
+        """Test get uses Batch pipeline and returns a KnowledgeDocument."""
+        store, mock_client = _make_knowledge_store()
+        embedding = [0.1, 0.2, 0.3, 0.4]
+        embedding_bytes = struct.pack(f"{len(embedding)}f", *embedding)
+        mock_client.exec.return_value = [{
+            b"content": b"hello",
+            b"content_hash": b"abc",
+            b"created_at": b"1234.0",
+            b"embedding": embedding_bytes,
+        }]
+
+        results = store.get("docs", ["doc1"])
+
+        assert len(results) == 1
+        assert isinstance(results[0], KnowledgeDocument)
+        assert results[0].id == "doc1"
+        mock_client.exec.assert_called_once()
+
+    def test_delete(self):
+        """Test delete calls client.delete and returns count deleted."""
+        store, mock_client = _make_knowledge_store()
+        mock_client.delete.return_value = 2
+
+        result = store.delete("docs", ids=["doc1", "doc2"])
+
+        assert result == 2
+
+    def test_count(self):
+        """Test count calls ft.info and returns integer document count."""
+        store, _ = _make_knowledge_store()
+        mock_ft = self._mock_ft(info={b"num_docs": 7, b"index_name": b"praison:vec:docs:idx"})
+
+        with patch(self._FT_MODULE, mock_ft):
+            result = store.count("docs")
+
+        assert isinstance(result, int)
+        assert result == 7
+
+    def test_close_closes_client(self):
+        """Test close() calls client.close() and clears the reference."""
+        store, mock_client = _make_knowledge_store()
+
+        store.close()
+
+        mock_client.close.assert_called_once()
+        assert store._client is None
+
+
+class TestValkeyStateStore:
+    """Tests for ValkeyStateStore."""
+
+    def test_get_existing(self):
+        """Test get returns a dict when client.get returns JSON bytes."""
+        store, mock_client = _make_state_store()
+        data = {"result": "ok"}
+        mock_client.get.return_value = json.dumps(data).encode("utf-8")
+
+        result = store.get("mykey")
+
+        mock_client.get.assert_called_once_with("praison:mykey")
+        assert result == data
+
+    def test_get_missing(self):
+        """Test get returns None when client.get returns None."""
+        store, mock_client = _make_state_store()
+        mock_client.get.return_value = None
+
+        result = store.get("missing")
+
+        assert result is None
+
+    def test_set_no_ttl(self):
+        """Test set calls client.set with prefixed key when no TTL is given."""
+        store, mock_client = _make_state_store()
+        mock_client.set.return_value = b"OK"
+
+        store.set("mykey", {"x": 1})
+
+        mock_client.set.assert_called_once()
+        call_args = mock_client.set.call_args[0]
+        assert call_args[0] == "praison:mykey"
+
+    def test_set_with_ttl(self):
+        """Test set with TTL passes SetOptions to client.set (ImportError/RuntimeError tolerated)."""
+        store, mock_client = _make_state_store()
+        mock_client.set.return_value = b"OK"
+
+        # glide's ExpirySet/ExpiryType are lazy-imported inside set(); without a live
+        # glide install this raises ImportError — both paths are valid in CI.
+        try:
+            store.set("ttlkey", {"x": 1}, ttl=300)
+        except (ImportError, RuntimeError):
+            pass
+
+    def test_delete_existing(self):
+        """Test delete returns True when client.delete returns 1."""
+        store, mock_client = _make_state_store()
+        mock_client.delete.return_value = 1
+
+        result = store.delete("mykey")
+
+        mock_client.delete.assert_called_once_with(["praison:mykey"])
+        assert result is True
+
+    def test_delete_missing(self):
+        """Test delete returns False when client.delete returns 0."""
+        store, mock_client = _make_state_store()
+        mock_client.delete.return_value = 0
+
+        result = store.delete("absent")
+
+        assert result is False
+
+    def test_exists_true(self):
+        """Test exists returns True when client.exists returns 1."""
+        store, mock_client = _make_state_store()
+        mock_client.exists.return_value = 1
+
+        assert store.exists("mykey") is True
+        mock_client.exists.assert_called_once_with(["praison:mykey"])
+
+    def test_exists_false(self):
+        """Test exists returns False when client.exists returns 0."""
+        store, mock_client = _make_state_store()
+        mock_client.exists.return_value = 0
+
+        assert store.exists("absent") is False
+
+    def test_keys(self):
+        """Test keys returns stripped key names via client.scan."""
+        store, mock_client = _make_state_store()
+        # scan() returns [cursor, [keys]]; cursor b"0" signals end of iteration
+        mock_client.scan.return_value = [b"0", [b"praison:key1", b"praison:key2"]]
+
+        result = store.keys()
+
+        mock_client.scan.assert_called_once()
+        assert result == ["key1", "key2"]
+
+    def test_ttl_with_value(self):
+        """Test ttl returns seconds remaining when client.ttl returns a positive value."""
+        store, mock_client = _make_state_store()
+        mock_client.ttl.return_value = 30
+
+        result = store.ttl("mykey")
+
+        assert result == 30
+
+    def test_ttl_no_ttl(self):
+        """Test ttl returns None when client.ttl returns -1 (no expiry)."""
+        store, mock_client = _make_state_store()
+        mock_client.ttl.return_value = -1
+
+        result = store.ttl("mykey")
+
+        assert result is None
+
+    def test_expire(self):
+        """Test expire calls client.expire and returns its result."""
+        store, mock_client = _make_state_store()
+        mock_client.expire.return_value = True
+
+        result = store.expire("mykey", 600)
+
+        mock_client.expire.assert_called_once_with("praison:mykey", 600)
+        assert result is True
+
+    def test_hget(self):
+        """Test hget returns a parsed dict when client.hget returns JSON bytes."""
+        store, mock_client = _make_state_store()
+        data = {"field_val": 42}
+        mock_client.hget.return_value = json.dumps(data).encode("utf-8")
+
+        result = store.hget("myhash", "field1")
+
+        mock_client.hget.assert_called_once_with("praison:myhash", "field1")
+        assert result == data
+
+    def test_hset(self):
+        """Test hset calls client.hset with the prefixed key and a mapping dict."""
+        store, mock_client = _make_state_store()
+        mock_client.hset.return_value = 1
+
+        store.hset("myhash", "field1", "value1")
+
+        mock_client.hset.assert_called_once()
+        call_args = mock_client.hset.call_args[0]
+        assert call_args[0] == "praison:myhash"
+        assert isinstance(call_args[1], dict)
+        assert "field1" in call_args[1]
+
+    def test_hgetall(self):
+        """Test hgetall returns a decoded dict when client.hgetall returns bytes."""
+        store, mock_client = _make_state_store()
+        mock_client.hgetall.return_value = {
+            b"field1": b'"value1"',
+            b"field2": b"42",
+        }
+
+        result = store.hgetall("myhash")
+
+        mock_client.hgetall.assert_called_once_with("praison:myhash")
+        assert "field1" in result
+        assert "field2" in result
+
+    def test_hdel(self):
+        """Test hdel calls client.hdel and returns the count of deleted fields."""
+        store, mock_client = _make_state_store()
+        mock_client.hdel.return_value = 2
+
+        result = store.hdel("myhash", "field1", "field2")
+
+        assert result == 2
+
+    def test_incr(self):
+        """Test incr calls client.incrby and returns the new value."""
+        store, mock_client = _make_state_store()
+        mock_client.incrby.return_value = 5
+
+        result = store.incr("counter")
+
+        assert result == 5
+        mock_client.incrby.assert_called_once_with("praison:counter", 1)
+
+    def test_decr(self):
+        """Test decr calls client.decrby and returns the new value."""
+        store, mock_client = _make_state_store()
+        mock_client.decrby.return_value = 3
+
+        result = store.decr("counter")
+
+        assert result == 3
+        mock_client.decrby.assert_called_once_with("praison:counter", 1)
+
+    def test_close_closes_client(self):
+        """Test close() calls client.close() and clears the reference."""
+        store, mock_client = _make_state_store()
+
+        store.close()
+
+        mock_client.close.assert_called_once()
+        assert store._client is None
+
+
+class TestRegistryValkey:
+    """Tests for Valkey backend registration in store registries."""
+
+    def test_knowledge_store_valkey_registered(self):
+        """Test KNOWLEDGE_STORES registry contains 'valkey'."""
+        assert "valkey" in KNOWLEDGE_STORES.list_registered()
+
+    def test_state_store_valkey_registered(self):
+        """Test STATE_STORES registry contains 'valkey'."""
+        assert "valkey" in STATE_STORES.list_registered()

src/praisonai/praisonai/profiler.py

@@ -63,6 +63,7 @@ import cProfile
 import pstats
 import io
 import statistics
+from collections import OrderedDict
 from collections import deque
 from contextvars import ContextVar
 from dataclasses import dataclass, field, asdict
@@ -266,7 +267,8 @@ class _ProfilerImpl:
         self._memory = deque(maxlen=max_records)
         self._enabled: bool = False
         self._flow_step: int = 0
-        self._files_accessed: Dict[str, int] = {}
+        self._files_accessed: "OrderedDict[str, int]" = OrderedDict()
+        self._files_accessed_max = max_records   # reuse the existing bound
         self._line_profile_data: Dict[str, Any] = {}
         self._cprofile_stats = deque(maxlen=max_records)
         self._lock = threading.Lock()
@@ -312,9 +314,15 @@ class _ProfilerImpl:
                 line=line
             ))
             
-            # Track file access
+            # Track file access with LRU eviction
             if file:
-                self._files_accessed[file] = self._files_accessed.get(file, 0) + 1
+                if file in self._files_accessed:
+                    self._files_accessed[file] += 1
+                    self._files_accessed.move_to_end(file)
+                else:
+                    self._files_accessed[file] = 1
+                    if len(self._files_accessed) > self._files_accessed_max:
+                        self._files_accessed.popitem(last=False)
     
     def record_import(self, module: str, duration_ms: float, parent: str = "") -> None:
         """Record an import timing."""
@@ -951,152 +959,6 @@ def check_module_available(module_name: str) -> bool:
     return importlib.util.find_spec(module_name) is not None
 
 
-# ============================================================================
-# Context-Aware Default Profiler
-# ============================================================================
-
-# Context variable for current profiler (enables per-agent isolation)
-_current_profiler: ContextVar[Optional[_ProfilerImpl]] = ContextVar("current_profiler", default=None)
-
-# Module-level default for CLI and backward compatibility
-_default_profiler = None
-_default_lock = threading.Lock()
-
-def get_profiler() -> _ProfilerImpl:
-    """Get the current profiler (context-aware or default)."""
-    # Check context variable first (for per-agent use)
-    profiler = _current_profiler.get()
-    if profiler is not None:
-        return profiler
-    
-    # Fall back to module-level default
-    global _default_profiler
-    if _default_profiler is None:
-        with _default_lock:
-            if _default_profiler is None:
-                _default_profiler = _ProfilerImpl()
-    return _default_profiler
-
-def set_profiler(profiler: _ProfilerImpl) -> None:
-    """Set the current profiler in context."""
-    _current_profiler.set(profiler)
-
-class ProfilerCompat:
-    """
-    Compatibility wrapper for old classmethod-based Profiler usage.
-    
-    Delegates all calls to the current profiler instance via get_profiler().
-    This maintains backward compatibility while enabling per-agent isolation.
-    """
-    
-    @staticmethod
-    def enable() -> None:
-        """Enable profiling."""
-        get_profiler().enable()
-    
-    @staticmethod
-    def disable() -> None:
-        """Disable profiling."""
-        get_profiler().disable()
-    
-    @staticmethod
-    def is_enabled() -> bool:
-        """Check if profiling is enabled."""
-        return get_profiler().is_enabled()
-    
-    @staticmethod
-    def clear() -> None:
-        """Clear all profiling data."""
-        get_profiler().clear()
-    
-    @staticmethod
-    def record_timing(name: str, duration_ms: float, category: str = "function", 
-                      file: str = "", line: int = 0) -> None:
-        """Record a timing measurement."""
-        get_profiler().record_timing(name, duration_ms, category, file, line)
-    
-    @staticmethod
-    def record_import(module: str, duration_ms: float, parent: str = "") -> None:
-        """Record an import timing."""
-        get_profiler().record_import(module, duration_ms, parent)
-    
-    @staticmethod
-    def record_flow(name: str, duration_ms: float, file: str = "", line: int = 0) -> None:
-        """Record a flow step."""
-        get_profiler().record_flow(name, duration_ms, file, line)
-    
-    @staticmethod
-    def block(name: str, category: str = "block"):
-        """Context manager for profiling a block of code."""
-        return get_profiler().block(name, category)
-    
-    @staticmethod
-    def get_timings(category: Optional[str] = None):
-        """Get timing records."""
-        return get_profiler().get_timings(category)
-    
-    @staticmethod
-    def get_imports(min_duration_ms: float = 0):
-        """Get import records."""
-        return get_profiler().get_imports(min_duration_ms)
-    
-    @staticmethod
-    def get_flow():
-        """Get flow records."""
-        return get_profiler().get_flow()
-    
-    @staticmethod
-    def get_files_accessed():
-        """Get files accessed."""
-        return get_profiler().get_files_accessed()
-    
-    @staticmethod
-    def get_summary():
-        """Get profiling summary."""
-        return get_profiler().get_summary()
-    
-    @staticmethod
-    def report(output: str = "console") -> str:
-        """Generate and output profiling report."""
-        return get_profiler().report(output)
-    
-    @staticmethod
-    def record_flow(name: str, duration_ms: float, file: str = "", line: int = 0) -> None:
-        """Record a flow step."""
-        get_profiler().record_flow(name, duration_ms, file, line)
-    
-    @staticmethod
-    def record_api_call(endpoint: str, method: str, duration_ms: float,
-                        status_code: int = 0, request_size: int = 0,
-                        response_size: int = 0) -> None:
-        """Record an API/HTTP call timing."""
-        get_profiler().record_api_call(endpoint, method, duration_ms, 
-                                       status_code, request_size, response_size)
-    
-    @staticmethod
-    def block(name: str, category: str = "block"):
-        """Context manager for profiling a block of code."""
-        return get_profiler().block(name, category)
-    
-    @staticmethod
-    def streaming(name: str):
-        """Context manager for profiling streaming operations."""
-        return get_profiler().streaming(name)
-    
-    @staticmethod
-    def api_call(endpoint: str, method: str = "GET"):
-        """Context manager for profiling API calls."""
-        return get_profiler().api_call(endpoint, method)
-
-# Create compatibility instance that acts like old singleton
-# This allows existing code to work: Profiler.enable(), etc.
-# But it actually delegates to the context-aware profiler
-ProfilerSingleton = ProfilerCompat()
-
-# Replace the class-based Profiler with the compatibility wrapper
-# This ensures all existing code continues to work
-Profiler = ProfilerCompat
-
 
 # ============================================================================
 # Exports

src/praisonai/praisonai/storage/__init__.py

@@ -6,6 +6,7 @@ Heavy implementations that follow StorageBackendProtocol for:
 - MongoDB (praisonai[mongodb])
 - PostgreSQL (praisonai[postgresql])
 - DynamoDB (praisonai[dynamodb])
+- Valkey (praisonai[valkey])
 
 These implementations are kept in the wrapper to avoid bloating the core SDK.
 """
@@ -13,9 +14,12 @@ These implementations are kept in the wrapper to avoid bloating the core SDK.
 # Lazy imports - only import when needed
 __all__ = [
     "RedisStorageAdapter",
-    "MongoDBStorageAdapter", 
+    "MongoDBStorageAdapter",
     "PostgreSQLStorageAdapter",
     "DynamoDBStorageAdapter",
+    "ValkeyStorageAdapter",
+    "ValkeySearchBackend",
+    "ValkeyBackend",
 ]
 
 def __getattr__(name: str):
@@ -32,5 +36,40 @@ def __getattr__(name: str):
     elif name == "DynamoDBStorageAdapter":
         from .dynamodb_adapter import DynamoDBStorageAdapter
         return DynamoDBStorageAdapter
+    elif name == "ValkeyStorageAdapter":
+        from .valkey_adapter import ValkeyStorageAdapter
+        return ValkeyStorageAdapter
+    elif name == "ValkeySearchBackend":
+        from .valkey_adapter import ValkeySearchBackend
+        return ValkeySearchBackend
+    elif name == "ValkeyBackend":
+        cls = _make_valkey_backend_class()
+        globals()["ValkeyBackend"] = cls
+        return cls
     else:
-        raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
+        raise AttributeError(f"module '{__name__}' has no attribute '{name}'")
+
+
+def _make_valkey_backend_class():
+    """Return ValkeyBackend — ValkeyStorageAdapter pre-configured from env vars."""
+    import os
+    from .valkey_adapter import ValkeyStorageAdapter
+
+    class ValkeyBackend(ValkeyStorageAdapter):
+        def __init__(
+            self,
+            host: str = None,
+            port: int = None,
+            prefix: str = None,
+            ttl=None,
+            password: str = None,
+        ):
+            super().__init__(
+                host=host if host is not None else os.environ.get("VALKEY_HOST", "localhost"),
+                port=int(port if port is not None else os.environ.get("VALKEY_PORT", 6379)),
+                prefix=prefix if prefix is not None else os.environ.get("VALKEY_PREFIX", "praisonai:"),
+                ttl=ttl,
+                password=password if password is not None else os.environ.get("VALKEY_PASSWORD"),
+            )
+
+    return ValkeyBackend

src/praisonai/praisonai/storage/valkey_adapter.py

@@ -0,0 +1,348 @@
+"""
+Valkey Storage Adapter for PraisonAI.
+
+Implements StorageBackendProtocol using Valkey for high-speed storage.
+This is the wrapper implementation that contains the heavy valkey-glide-sync dependency.
+"""
+
+import json
+import struct
+from typing import Dict, Any, List, Optional
+
+from praisonai.persistence._valkey_client import create_valkey_client
+
+try:
+    from glide_sync import ExpirySet, ExpiryType
+except ImportError:
+    ExpirySet = None
+    ExpiryType = None
+
+try:
+    from glide_sync import ft
+    from glide_sync import (
+        VectorField, VectorFieldAttributesHnsw, VectorAlgorithm,
+        DistanceMetricType, VectorType, FtCreateOptions, DataType,
+        FtSearchOptions, ReturnField,
+    )
+except ImportError:
+    ft = None
+    VectorField = VectorFieldAttributesHnsw = VectorAlgorithm = None
+    DistanceMetricType = VectorType = FtCreateOptions = DataType = None
+    FtSearchOptions = ReturnField = None
+
+
+class ValkeyStorageAdapter:
+    """
+    Valkey-based storage backend adapter.
+
+    Uses Valkey for high-speed caching and ephemeral data storage.
+    Implements StorageBackendProtocol from praisonaiagents.storage.protocols.
+
+    Example:
+        ```python
+        from praisonai.storage import ValkeyStorageAdapter
+
+        adapter = ValkeyStorageAdapter(host="localhost", port=6379)
+        adapter.save("session_123", {"messages": []})
+        data = adapter.load("session_123")
+        ```
+    """
+
+    def __init__(
+        self,
+        host: str = "localhost",
+        port: int = 6379,
+        prefix: str = "praisonai:",
+        ttl: Optional[int] = None,
+        password: Optional[str] = None,
+    ):
+        """
+        Initialize the Valkey storage adapter.
+
+        Args:
+            host: Valkey server host
+            port: Valkey server port
+            prefix: Key prefix for all stored data
+            ttl: Optional TTL in seconds for all keys
+            password: Optional Valkey password
+        """
+        self.host = host
+        self.port = port
+        self.prefix = prefix
+        self.ttl = ttl
+        self.password = password
+        self._client = None
+
+    def _get_client(self):
+        """Lazy initialize Valkey client."""
+        if self._client is None:
+            self._client = create_valkey_client(
+                host=self.host,
+                port=self.port,
+                password=self.password,
+            )
+        return self._client
+
+    def _make_key(self, key: str) -> str:
+        """Create prefixed key."""
+        return f"{self.prefix}{key}"
+
+    def _scan_keys(self, pattern: str) -> List[bytes]:
+        """Collect all keys matching pattern via SCAN."""
+        client = self._get_client()
+        cursor: bytes = b"0"
+        all_keys: List[bytes] = []
+        while True:
+            result = client.scan(cursor, match=pattern, count=100)
+            cursor = result[0]
+            all_keys.extend(result[1] or [])
+            if not cursor or cursor in (b"0", "0", 0):
+                break
+        return all_keys
+
+    def save(self, key: str, data: Dict[str, Any]) -> None:
+        """Save data with the given key."""
+        client = self._get_client()
+        full_key = self._make_key(key)
+        json_data = json.dumps(data, default=str, ensure_ascii=False).encode('utf-8')
+
+        try:
+            if self.ttl is not None:
+                if ExpirySet is None or ExpiryType is None:
+                    from praisonai.persistence._valkey_client import _MISSING_MSG
+                    raise ImportError(_MISSING_MSG)
+                client.set(full_key, json_data, expiry=ExpirySet(ExpiryType.SEC, self.ttl))
+            else:
+                client.set(full_key, json_data)
+        except ImportError:
+            raise
+        except Exception as e:
+            raise RuntimeError(f"Failed to save data to Valkey: {e}") from e
+
+    def load(self, key: str) -> Optional[Dict[str, Any]]:
+        """Load data by key."""
+        client = self._get_client()
+        full_key = self._make_key(key)
+
+        try:
+            value = client.get(full_key)
+            if value is not None:
+                try:
+                    if isinstance(value, bytes):
+                        value = value.decode('utf-8')
+                    return json.loads(value)
+                except json.JSONDecodeError as e:
+                    raise ValueError(f"Invalid JSON data for key '{key}': {e}") from e
+            return None
+        except ValueError:
+            raise
+        except Exception as e:
+            raise RuntimeError(f"Failed to load data from Valkey: {e}") from e
+
+    def delete(self, key: str) -> bool:
+        """Delete data by key."""
+        client = self._get_client()
+        full_key = self._make_key(key)
+
+        try:
+            return client.delete([full_key]) > 0
+        except Exception as e:
+            raise RuntimeError(f"Failed to delete data from Valkey: {e}") from e
+
+    def list_keys(self, prefix: str = "") -> List[str]:
+        """List all keys, optionally filtered by prefix."""
+        pattern = self._make_key(f"{prefix}*")
+
+        try:
+            raw_keys = self._scan_keys(pattern)
+            prefix_len = len(self.prefix)
+            return sorted(
+                (k.decode('utf-8') if isinstance(k, bytes) else k)[prefix_len:]
+                for k in raw_keys
+            )
+        except Exception as e:
+            raise RuntimeError(f"Failed to list keys from Valkey: {e}") from e
+
+    def exists(self, key: str) -> bool:
+        """Check if a key exists."""
+        client = self._get_client()
+        full_key = self._make_key(key)
+
+        try:
+            return client.exists([full_key]) > 0
+        except Exception as e:
+            raise RuntimeError(f"Failed to check key existence in Valkey: {e}") from e
+
+    def clear(self) -> int:
+        """Clear all data with our prefix. Returns number of items deleted."""
+        client = self._get_client()
+        pattern = self._make_key("*")
+        batch_size = 500
+
+        try:
+            all_keys = self._scan_keys(pattern)
+            if not all_keys:
+                return 0
+            total = 0
+            for i in range(0, len(all_keys), batch_size):
+                total += client.delete(all_keys[i:i + batch_size])
+            return total
+        except Exception as e:
+            raise RuntimeError(f"Failed to clear data from Valkey: {e}") from e
+
+    def set_ttl(self, key: str, ttl: int) -> bool:
+        """Set TTL on a specific key."""
+        client = self._get_client()
+        full_key = self._make_key(key)
+
+        try:
+            return client.expire(full_key, ttl)
+        except Exception as e:
+            raise RuntimeError(f"Failed to set TTL in Valkey: {e}") from e
+
+    def ping(self) -> bool:
+        """Test connection to Valkey."""
+        try:
+            client = self._get_client()
+            result = client.ping()
+            return result is not None
+        except Exception:
+            return False
+
+    def close(self) -> None:
+        """Close the Valkey connection."""
+        if self._client:
+            try:
+                self._client.close()
+            finally:
+                self._client = None
+
+
+class ValkeySearchBackend:
+    """
+    Valkey vector search backend using RediSearch / ValkeySearch FT commands.
+
+    Example:
+        ```python
+        from praisonai.storage import ValkeySearchBackend
+
+        backend = ValkeySearchBackend(host="localhost", port=6379, vector_dim=1536)
+        backend.create_index()
+        backend.add_document("doc1", "hello world", embedding)
+        results = backend.search(query_embedding, k=5)
+        ```
+    """
+
+    def __init__(
+        self,
+        host: str = "localhost",
+        port: int = 6379,
+        index_name: str = "praisonai_vectors",
+        password: Optional[str] = None,
+        vector_dim: int = 1536,
+    ):
+        """
+        Initialize the Valkey search backend.
+
+        Args:
+            host: Valkey server host
+            port: Valkey server port
+            index_name: Name of the FT index
+            password: Optional Valkey password
+            vector_dim: Dimension of embedding vectors
+        """
+        self.host = host
+        self.port = port
+        self.index_name = index_name
+        self.password = password
+        self.vector_dim = vector_dim
+        self._client = None
+
+    def _get_client(self):
+        """Lazy initialize Valkey client."""
+        if self._client is None:
+            self._client = create_valkey_client(
+                host=self.host,
+                port=self.port,
+                password=self.password,
+            )
+        return self._client
+
+    def create_index(self, vector_dim: int = None) -> None:
+        """Create the vector search index (no-op if already exists)."""
+        client = self._get_client()
+        dim = vector_dim or self.vector_dim
+
+        try:
+            schema = [VectorField(
+                "embedding",
+                VectorAlgorithm.HNSW,
+                VectorFieldAttributesHnsw(dim, DistanceMetricType.COSINE, VectorType.FLOAT32),
+            )]
+            options = FtCreateOptions(DataType.HASH, prefixes=[f"{self.index_name}:"])
+            ft.create(client, self.index_name, schema, options)
+        except Exception as e:
+            err = str(e)
+            if "already exists" not in err.lower() and "index already exists" not in err.lower():
+                raise RuntimeError(f"Failed to create Valkey search index: {e}") from e
+
+    def add_document(self, doc_id: str, text: str, embedding: List[float]) -> None:
+        """Add a document with its embedding to the index."""
+        if len(embedding) != self.vector_dim:
+            raise ValueError(
+                f"Embedding dimension mismatch: expected {self.vector_dim}, got {len(embedding)}"
+            )
+        client = self._get_client()
+        full_id = f"{self.index_name}:{doc_id}"
+        packed = struct.pack(f"{len(embedding)}f", *embedding)
+
+        try:
+            client.hset(full_id, {"text": text, "embedding": packed})
+        except Exception as e:
+            raise RuntimeError(f"Failed to add document to Valkey: {e}") from e
+
+    def search(self, query_embedding: List[float], k: int = 5) -> List[Dict[str, Any]]:
+        """Search for nearest neighbors by embedding."""
+        if k <= 0:
+            raise ValueError("k must be > 0")
+        if len(query_embedding) != self.vector_dim:
+            raise ValueError(
+                f"Query embedding dimension mismatch: expected {self.vector_dim}, got {len(query_embedding)}"
+            )
+        client = self._get_client()
+        packed = struct.pack(f"{len(query_embedding)}f", *query_embedding)
+
+        try:
+            options = FtSearchOptions(
+                return_fields=[ReturnField("text"), ReturnField("score")],
+                params={"vec": packed},
+            )
+            raw = ft.search(client, self.index_name, f"*=>[KNN {k} @embedding $vec AS score]", options)
+        except Exception as e:
+            raise RuntimeError(f"Failed to search Valkey: {e}") from e
+
+        # ft.search returns [count, {doc_id: {field: value, ...}, ...}]
+        if not raw or len(raw) < 2:
+            return []
+
+        results = []
+        key_prefix = f"{self.index_name}:"
+        for doc_id, fields in raw[1].items():
+            doc: Dict[str, Any] = {}
+            raw_id = doc_id.decode('utf-8') if isinstance(doc_id, bytes) else doc_id
+            doc["id"] = raw_id.removeprefix(key_prefix)
+            for fname, fval in fields.items():
+                fname = fname.decode('utf-8') if isinstance(fname, bytes) else fname
+                fval = fval.decode('utf-8') if isinstance(fval, bytes) else fval
+                doc[fname] = fval
+            results.append(doc)
+
+        return results
+
+    def close(self) -> None:
+        """Close the Valkey connection."""
+        if self._client:
+            try:
+                self._client.close()
+            finally:
+                self._client = None

src/praisonai/praisonai/tool_resolver.py

@@ -421,18 +421,45 @@ class ToolResolver:
             return {}
 
 
-# Convenience functions that construct resolver explicitly (no global singleton)
+# Process-level lazy singleton for performance (matches profiler.py pattern)
+_default_resolver: Optional[ToolResolver] = None
+_default_resolver_lock = threading.Lock()
+
+def _get_default_resolver() -> ToolResolver:
+    """Process-default ToolResolver (double-checked lazy init).
+    
+    Returns cached ToolResolver that is anchored to the working directory
+    at first call. Local tools.py resolution is CWD-dependent and cached
+    for the lifetime of the process.
+    
+    For test isolation or multi-project CLIs, create explicit resolver
+    instances instead of using this cached default.
+    """
+    global _default_resolver
+    if _default_resolver is None:
+        with _default_resolver_lock:
+            if _default_resolver is None:
+                _default_resolver = ToolResolver()
+    return _default_resolver
+
+
+# Convenience functions that use cached default resolver for performance
 def resolve_tool(name: str, resolver: Optional[ToolResolver] = None) -> Optional[Callable]:
     """Resolve a tool name to a callable.
     
     Args:
         name: Tool name to resolve
-        resolver: Optional resolver instance. If None, creates a new one.
+        resolver: Optional resolver instance. If None, uses cached default resolver.
         
     Returns:
         Callable if found, None otherwise
+        
+    Note:
+        When resolver=None, uses a process-level cached resolver that is anchored
+        to the working directory at first call. For test isolation or multi-project
+        CLIs, pass an explicit resolver instance.
     """
-    return (resolver or ToolResolver()).resolve(name)
+    return (resolver or _get_default_resolver()).resolve(name)
 
 
 def resolve_tools(names: List[str], resolver: Optional[ToolResolver] = None) -> List[Callable]:
@@ -440,24 +467,24 @@ def resolve_tools(names: List[str], resolver: Optional[ToolResolver] = None) ->
     
     Args:
         names: List of tool names
-        resolver: Optional resolver instance. If None, creates a new one.
+        resolver: Optional resolver instance. If None, uses cached default resolver.
         
     Returns:
         List of resolved callables
     """
-    return (resolver or ToolResolver()).resolve_many(names)
+    return (resolver or _get_default_resolver()).resolve_many(names)
 
 
 def list_available_tools(resolver: Optional[ToolResolver] = None) -> Dict[str, str]:
     """List all available tools with descriptions.
     
     Args:
-        resolver: Optional resolver instance. If None, creates a new one.
+        resolver: Optional resolver instance. If None, uses cached default resolver.
     
     Returns:
         Dict mapping tool names to descriptions
     """
-    return (resolver or ToolResolver()).list_available()
+    return (resolver or _get_default_resolver()).list_available()
 
 
 def has_tool(name: str, resolver: Optional[ToolResolver] = None) -> bool:
@@ -465,12 +492,12 @@ def has_tool(name: str, resolver: Optional[ToolResolver] = None) -> bool:
     
     Args:
         name: Tool name to check
-        resolver: Optional resolver instance. If None, creates a new one.
+        resolver: Optional resolver instance. If None, uses cached default resolver.
         
     Returns:
         True if tool exists, False otherwise
     """
-    return (resolver or ToolResolver()).has_tool(name)
+    return (resolver or _get_default_resolver()).has_tool(name)
 
 
 def validate_yaml_tools(yaml_config: Dict[str, Any], resolver: Optional[ToolResolver] = None) -> List[str]:
@@ -478,9 +505,9 @@ def validate_yaml_tools(yaml_config: Dict[str, Any], resolver: Optional[ToolReso
     
     Args:
         yaml_config: Parsed YAML configuration
-        resolver: Optional resolver instance. If None, creates a new one.
+        resolver: Optional resolver instance. If None, uses cached default resolver.
         
     Returns:
         List of missing tool names
     """
-    return (resolver or ToolResolver()).validate_yaml_tools(yaml_config)
+    return (resolver or _get_default_resolver()).validate_yaml_tools(yaml_config)

src/praisonai/praisonai/version.py

@@ -1 +1 @@
-__version__ = "4.6.41"
+__version__ = "4.6.43"

src/praisonai/pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "rich>=13.7",
     "markdown>=3.5",
     "pyparsing>=3.0.0",
-    "praisonaiagents>=1.6.41",
+    "praisonaiagents>=1.6.43",
     "python-dotenv>=0.19.0",
     "litellm>=1.83.14,<2",
     "PyYAML>=6.0",
@@ -180,6 +180,9 @@ postgresql = [
 dynamodb = [
     "boto3>=1.35.0",
 ]
+valkey = [
+    "valkey-glide-sync>=2.3.1",
+]
 # Cloud-native serverless databases
 neon = [
     "psycopg2-binary>=2.9.0",

src/praisonai/tests/unit/storage/test_valkey_backend.py

@@ -0,0 +1,249 @@
+"""
+Tests for ValkeyStorageAdapter and ValkeySearchBackend.
+
+Tests cover:
+- ValkeyStorageAdapter CRUD operations (mocked glide client)
+- ValkeySearchBackend index and search operations (mocked)
+"""
+
+import json
+from unittest.mock import MagicMock, patch
+
+
+def _make_adapter(prefix="praisonai:", ttl=None):
+    """Return a ValkeyStorageAdapter with a pre-injected MagicMock client."""
+    from praisonai.storage.valkey_adapter import ValkeyStorageAdapter
+
+    adapter = ValkeyStorageAdapter.__new__(ValkeyStorageAdapter)
+    adapter.host = "localhost"
+    adapter.port = 6379
+    adapter.prefix = prefix
+    adapter.ttl = ttl
+    adapter.password = None
+
+    mock_client = MagicMock()
+    adapter._client = mock_client
+    adapter._get_client = lambda: mock_client
+
+    return adapter, mock_client
+
+
+def _make_search_backend(index_name="praisonai_vectors", vector_dim=4):
+    """Return a ValkeySearchBackend with a pre-injected MagicMock client."""
+    from praisonai.storage.valkey_adapter import ValkeySearchBackend
+
+    backend = ValkeySearchBackend.__new__(ValkeySearchBackend)
+    backend.host = "localhost"
+    backend.port = 6379
+    backend.index_name = index_name
+    backend.vector_dim = vector_dim
+    backend.password = None
+
+    mock_client = MagicMock()
+    backend._client = mock_client
+    backend._get_client = lambda: mock_client
+
+    return backend, mock_client
+
+
+class TestValkeyStorageAdapter:
+    """Tests for ValkeyStorageAdapter."""
+
+    def test_valkey_adapter_save(self):
+        """Test save calls client.set with prefixed key and JSON bytes."""
+        adapter, mock_client = _make_adapter()
+
+        data = {"name": "test", "value": 42}
+        adapter.save("mykey", data)
+
+        mock_client.set.assert_called_once()
+        call_args = mock_client.set.call_args[0]
+        assert call_args[0] == "praisonai:mykey"
+        assert json.loads(call_args[1]) == data
+
+    def test_valkey_adapter_save_with_ttl(self):
+        """Test save with TTL calls client.set with expiry kwarg (ImportError tolerated without glide)."""
+        adapter, mock_client = _make_adapter(ttl=300)
+
+        # ExpirySet/ExpiryType are lazy-imported inside save(); without a live
+        # glide install this raises RuntimeError — both paths are valid in CI.
+        try:
+            adapter.save("ttlkey", {"key": "val"})
+            mock_client.set.assert_called_once()
+            _, kwargs = mock_client.set.call_args
+            assert "expiry" in kwargs
+        except (ImportError, RuntimeError):
+            pass
+
+    def test_valkey_adapter_load_existing(self):
+        """Test load returns a dict when client.get returns JSON bytes."""
+        adapter, mock_client = _make_adapter()
+
+        data = {"result": "ok"}
+        mock_client.get.return_value = json.dumps(data).encode("utf-8")
+
+        loaded = adapter.load("mykey")
+
+        mock_client.get.assert_called_once_with("praisonai:mykey")
+        assert loaded == data
+
+    def test_valkey_adapter_load_missing(self):
+        """Test load returns None when client.get returns None."""
+        adapter, mock_client = _make_adapter()
+        mock_client.get.return_value = None
+
+        loaded = adapter.load("missing")
+
+        assert loaded is None
+
+    def test_valkey_adapter_delete_existing(self):
+        """Test delete returns True when client.delete returns 1."""
+        adapter, mock_client = _make_adapter()
+        mock_client.delete.return_value = 1
+
+        result = adapter.delete("mykey")
+
+        mock_client.delete.assert_called_once_with(["praisonai:mykey"])
+        assert result is True
+
+    def test_valkey_adapter_delete_missing(self):
+        """Test delete returns False when client.delete returns 0."""
+        adapter, mock_client = _make_adapter()
+        mock_client.delete.return_value = 0
+
+        result = adapter.delete("absent")
+
+        assert result is False
+
+    def test_valkey_adapter_list_keys(self):
+        """Test list_keys returns stripped, sorted key names via client.scan."""
+        adapter, mock_client = _make_adapter()
+        raw_keys = [b"praisonai:beta", b"praisonai:alpha", b"praisonai:gamma"]
+        # scan() returns [cursor, [keys]]; cursor b"0" signals end of iteration
+        mock_client.scan.return_value = [b"0", raw_keys]
+
+        keys = adapter.list_keys()
+
+        mock_client.scan.assert_called_once()
+        assert keys == ["alpha", "beta", "gamma"]
+
+    def test_valkey_adapter_exists_true(self):
+        """Test exists returns True when client.exists returns 1."""
+        adapter, mock_client = _make_adapter()
+        mock_client.exists.return_value = 1
+
+        assert adapter.exists("mykey") is True
+        mock_client.exists.assert_called_once_with(["praisonai:mykey"])
+
+    def test_valkey_adapter_exists_false(self):
+        """Test exists returns False when client.exists returns 0."""
+        adapter, mock_client = _make_adapter()
+        mock_client.exists.return_value = 0
+
+        assert adapter.exists("absent") is False
+
+    def test_valkey_adapter_clear(self):
+        """Test clear deletes all prefixed keys and returns count."""
+        adapter, mock_client = _make_adapter()
+        raw_keys = [b"praisonai:a", b"praisonai:b", b"praisonai:c"]
+        # scan() returns [cursor, [keys]]; cursor b"0" signals end of iteration
+        mock_client.scan.return_value = [b"0", raw_keys]
+        mock_client.delete.return_value = 3
+
+        count = adapter.clear()
+
+        assert count == 3
+        mock_client.delete.assert_called_once()
+
+    def test_valkey_adapter_set_ttl(self):
+        """Test set_ttl calls client.expire with prefixed key and returns result."""
+        adapter, mock_client = _make_adapter()
+        mock_client.expire.return_value = True
+
+        result = adapter.set_ttl("mykey", 600)
+
+        mock_client.expire.assert_called_once_with("praisonai:mykey", 600)
+        assert result is True
+
+    def test_valkey_adapter_import_error(self):
+        """Test ImportError with 'valkey' hint when glide package is not available."""
+        import praisonai.persistence._valkey_client as client_mod
+        from praisonai.storage.valkey_adapter import ValkeyStorageAdapter
+
+        adapter = ValkeyStorageAdapter.__new__(ValkeyStorageAdapter)
+        adapter.host = "localhost"
+        adapter.port = 6379
+        adapter.prefix = "praisonai:"
+        adapter.ttl = None
+        adapter.password = None
+        adapter._client = None
+
+        original = client_mod.GlideClientSync
+        try:
+            client_mod.GlideClientSync = None
+            try:
+                adapter._get_client()
+                assert False, "Should have raised ImportError"
+            except ImportError as e:
+                assert "valkey" in str(e).lower()
+        finally:
+            client_mod.GlideClientSync = original
+
+    def test_valkey_adapter_operation_error(self):
+        """Test RuntimeError raised when a client operation fails."""
+        adapter, mock_client = _make_adapter()
+        mock_client.get.side_effect = Exception("connection refused")
+
+        try:
+            adapter.load("anykey")
+            assert False, "Should have raised RuntimeError"
+        except RuntimeError as e:
+            assert "Valkey" in str(e) or "valkey" in str(e).lower()
+
+
+class TestValkeySearchBackend:
+    """Tests for ValkeySearchBackend."""
+
+    def test_create_index(self):
+        """Test create_index uses ft.create (no-op if already exists)."""
+        backend, _ = _make_search_backend()
+        mock_ft = MagicMock()
+        mock_ft.create.return_value = b"OK"
+
+        with patch("praisonai.storage.valkey_adapter.ft", mock_ft):
+            backend.create_index()
+
+        mock_ft.create.assert_called_once()
+        assert backend.index_name == mock_ft.create.call_args[0][1]
+
+    def test_add_document(self):
+        """Test add_document calls hset with correct key and fields."""
+        backend, mock_client = _make_search_backend()
+        mock_client.hset.return_value = 2
+
+        backend.add_document("doc1", "hello world", [0.1, 0.2, 0.3, 0.4])
+
+        mock_client.hset.assert_called_once()
+        call_args = mock_client.hset.call_args[0]
+        assert call_args[0] == "praisonai_vectors:doc1"
+        mapping = call_args[1]
+        assert "text" in mapping
+        assert mapping["text"] == "hello world"
+        assert "embedding" in mapping
+
+    def test_search(self):
+        """Test search uses ft.search and returns a list of dicts."""
+        backend, _ = _make_search_backend()
+        ft_result = [1, {b"praisonai_vectors:doc1": {b"text": b"hello world", b"score": b"0.05"}}]
+        mock_ft = MagicMock()
+        mock_ft.search.return_value = ft_result
+
+        with patch("praisonai.storage.valkey_adapter.ft", mock_ft):
+            results = backend.search([0.1, 0.2, 0.3, 0.4], k=5)
+
+        assert isinstance(results, list)
+        assert len(results) == 1
+        assert results[0]["id"] == "doc1"
+        assert results[0]["text"] == "hello world"
+        mock_ft.search.assert_called_once()
+

src/praisonai/uv.lock

@@ -17,6 +17,37 @@ overrides = [
     { name = "neonize", marker = "sys_platform == 'never'" },
 ]
 
+[[package]]
+name = "a2a-sdk"
+version = "0.3.26"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "google-api-core" },
+    { name = "httpx" },
+    { name = "httpx-sse" },
+    { name = "protobuf" },
+    { name = "pydantic" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/be/97/a6840e01795b182ce751ca165430d46459927cde9bfab838087cbb24aef7/a2a_sdk-0.3.26.tar.gz", hash = "sha256:44068e2d037afbb07ab899267439e9bc7eaa7ac2af94f1e8b239933c993ad52d", size = 274598, upload-time = "2026-04-09T15:21:13.902Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dd/d5/51f4ee1bf3b736add42a542d3c8a3fd3fa85f3d36c17972127defc46c26f/a2a_sdk-0.3.26-py3-none-any.whl", hash = "sha256:754e0573f6d33b225c1d8d51f640efa69cbbed7bdfb06ce9c3540ea9f58d4a91", size = 151016, upload-time = "2026-04-09T15:21:12.35Z" },
+]
+
+[[package]]
+name = "a2ui-agent-sdk"
+version = "0.2.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "a2a-sdk" },
+    { name = "google-adk" },
+    { name = "google-genai" },
+    { name = "jsonschema" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/8f/a1/66106b413acf22a7531e86d9ce6663e33d8bdead5043f15cbed6e22a427f/a2ui_agent_sdk-0.2.1.tar.gz", hash = "sha256:cc42af7a1cdae5ef7b7c90a619a7497b677038558a4273c7f751e843c41fac04", size = 233418, upload-time = "2026-04-10T00:18:43.387Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5b/21/6a10fa0e20db25825f384a6147a11fb521bb5471e2082dc9f4b471d1e3b4/a2ui_agent_sdk-0.2.1-py3-none-any.whl", hash = "sha256:36157834654c591dbe11c40131a51c9f9b54bdedcb15e789cb33eedbefddbc03", size = 73369, upload-time = "2026-04-10T00:18:41.878Z" },
+]
+
 [[package]]
 name = "absl-py"
 version = "2.4.0"
@@ -262,14 +293,11 @@ wheels = [
 
 [[package]]
 name = "aiosqlite"
-version = "0.20.0"
+version = "0.22.1"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/0d/3a/22ff5415bf4d296c1e92b07fd746ad42c96781f13295a074d58e77747848/aiosqlite-0.20.0.tar.gz", hash = "sha256:6d35c8c256637f4672f843c31021464090805bf925385ac39473fb16eaaca3d7", size = 21691, upload-time = "2024-02-20T06:12:53.915Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/4e/8a/64761f4005f17809769d23e518d915db74e6310474e733e3593cfc854ef1/aiosqlite-0.22.1.tar.gz", hash = "sha256:043e0bd78d32888c0a9ca90fc788b38796843360c855a7262a532813133a0650", size = 14821, upload-time = "2025-12-23T19:25:43.997Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/00/c4/c93eb22025a2de6b83263dfe3d7df2e19138e345bca6f18dba7394120930/aiosqlite-0.20.0-py3-none-any.whl", hash = "sha256:36a1deaca0cac40ebe32aac9977a6e2bbc7f5189f23f4a54d5908986729e5bd6", size = 15564, upload-time = "2024-02-20T06:12:50.657Z" },
+    { url = "https://files.pythonhosted.org/packages/00/b7/e3bf5133d697a08128598c8d0abc5e16377b51465a33756de24fa7dee953/aiosqlite-0.22.1-py3-none-any.whl", hash = "sha256:21c002eb13823fad740196c5a2e9d8e62f6243bd9e7e4a1f87fb5e44ecb4fceb", size = 17405, upload-time = "2025-12-23T19:25:42.139Z" },
 ]
 
 [[package]]
@@ -471,6 +499,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/f6/22/91616fe707a5c5510de2cac9b046a30defe7007ba8a0c04f9c08f27df312/audioop_lts-0.2.2-cp314-cp314t-win_arm64.whl", hash = "sha256:b492c3b040153e68b9fdaff5913305aaaba5bb433d8a7f73d5cf6a64ed3cc1dd", size = 25206, upload-time = "2025-08-05T16:43:16.444Z" },
 ]
 
+[[package]]
+name = "authlib"
+version = "1.6.12"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d3/30/6691fdc63b35f54a5a65e04fa1e59d827f4d4e8f4a39678ba7d3088ce0c8/authlib-1.6.12.tar.gz", hash = "sha256:0656d8482f28fc8221929d5f35b2bde5d13e10555ebc06b4561b0d622e83b1bd", size = 165368, upload-time = "2026-05-04T08:11:31.826Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/cd/51/9b0b5cd4cf683a02db937a6f9bbebcdc9c56558a7bb3763ce7d3512103c3/authlib-1.6.12-py2.py3-none-any.whl", hash = "sha256:e9229ad7fde610b139dd12f5edbe97eab9ee78bfb85691247e767727850b99ab", size = 244473, upload-time = "2026-05-04T08:11:30.354Z" },
+]
+
 [[package]]
 name = "autogen-agentchat"
 version = "0.6.4"
@@ -1683,6 +1723,40 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/de/86/5486b0188d08aa643e127774a99bac51ffa6cf343e3deb0583956dca5b22/fsspec-2024.12.0-py3-none-any.whl", hash = "sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2", size = 183862, upload-time = "2024-12-19T19:57:28.258Z" },
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+[[package]]
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