docs: add Deep Research CLI documentation and bump version to 2.2.90

README.md

@@ -144,6 +144,18 @@ export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
 praisonai --auto create a movie script about Robots in Mars
 ```
 
+### Deep Research CLI:
+```bash
+# Default: OpenAI (o4-mini-deep-research)
+praisonai research "What are the latest AI trends in 2025?"
+
+# Use Gemini
+praisonai research --model deep-research-pro "Your research query"
+
+# Verbose mode (show debug logs)
+praisonai research -v "Your research query"
+```
+
 ## Using JavaScript Code
 
 ```bash

docker/Dockerfile

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     flask \
-    "praisonai>=2.2.89" \
+    "praisonai>=2.2.90" \
     "praisonai[api]" \
     gunicorn \
     markdown

docker/Dockerfile.chat

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.2.89" \
+    "praisonai>=2.2.90" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.dev

@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.2.89" \
+    "praisonai>=2.2.90" \
     "praisonai[ui]" \
     "praisonai[chat]" \
     "praisonai[realtime]" \

docker/Dockerfile.ui

@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
 # Install Python packages (using latest versions)
 RUN pip install --no-cache-dir \
     praisonai_tools \
-    "praisonai>=2.2.89" \
+    "praisonai>=2.2.90" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/README.md

@@ -121,7 +121,7 @@ healthcheck:
 ## 📦 Package Versions
 
 All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.89`
+- PraisonAI: `>=2.2.90`
 - PraisonAI Agents: `>=0.0.92`
 - Python: `3.11-slim`
 
@@ -218,7 +218,7 @@ docker-compose up -d
 ### Version Pinning
 To use specific versions, update the Dockerfile:
 ```dockerfile
-RUN pip install "praisonai==2.2.89" "praisonaiagents==0.0.92"
+RUN pip install "praisonai==2.2.90" "praisonaiagents==0.0.92"
 ```
 
 ## 🌐 Production Deployment

src/praisonai/praisonai.rb

@@ -3,8 +3,8 @@ class Praisonai < Formula
   
     desc "AI tools for various AI applications"
     homepage "https://github.com/MervinPraison/PraisonAI"
-    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.89.tar.gz"
-    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.89.tar.gz | shasum -a 256`.split.first
+    url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.90.tar.gz"
+    sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.90.tar.gz | shasum -a 256`.split.first
     license "MIT"
   
     depends_on "[email protected]"

src/praisonai/praisonai/cli.py

@@ -545,7 +545,7 @@ class PraisonAI:
             return default_args
         
         # Define special commands
-        special_commands = ['chat', 'code', 'call', 'realtime', 'train', 'ui', 'context']
+        special_commands = ['chat', 'code', 'call', 'realtime', 'train', 'ui', 'context', 'research']
         
         parser = argparse.ArgumentParser(prog="praisonai", description="praisonAI command-line interface")
         parser.add_argument("--framework", choices=["crewai", "autogen", "praisonai"], help="Specify the framework")
@@ -572,6 +572,8 @@ class PraisonAI:
         parser.add_argument("--url", type=str, help="Repository URL for context analysis")
         parser.add_argument("--goal", type=str, help="Goal for context engineering")
         parser.add_argument("--auto-analyze", action="store_true", help="Enable automatic analysis in context engineering")
+        parser.add_argument("--research", action="store_true", help="Run deep research on a topic")
+        parser.add_argument("--verbose", "-v", action="store_true", help="Enable verbose output for research")
         
         # If we're in a test environment, parse with empty args to avoid pytest interference
         if in_test_env:
@@ -696,6 +698,25 @@ class PraisonAI:
                 self.handle_context_command(args.url, args.goal, getattr(args, 'auto_analyze', False))
                 sys.exit(0)
 
+            elif args.command == 'research':
+                if not PRAISONAI_AVAILABLE:
+                    print("[red]ERROR: PraisonAI Agents is not installed. Install with:[/red]")
+                    print("\npip install praisonaiagents\n")
+                    sys.exit(1)
+                
+                # Get the research query from remaining args
+                research_query = ' '.join(unknown_args) if unknown_args else None
+                if not research_query:
+                    print("[red]ERROR: Research query is required[/red]")
+                    print("Usage: praisonai research \"Your research query\"")
+                    print("       praisonai research --model deep-research-pro \"Your query\"")
+                    sys.exit(1)
+                
+                research_model = getattr(args, 'model', None)
+                verbose = getattr(args, 'verbose', False)
+                self.handle_research_command(research_query, research_model, verbose)
+                sys.exit(0)
+
         # Only check framework availability for agent-related operations
         if not args.command and (args.init or args.auto or args.framework):
             if not CREWAI_AVAILABLE and not AUTOGEN_AVAILABLE and not PRAISONAI_AVAILABLE:
@@ -933,6 +954,71 @@ class PraisonAI:
             print(f"[red]ERROR: Context engineering failed: {e}[/red]")
             sys.exit(1)
 
+    def handle_research_command(self, query: str, model: str = None, verbose: bool = False) -> str:
+        """
+        Handle the research command by creating a DeepResearchAgent and running it.
+        
+        Args:
+            query: Research query/topic
+            model: Model for deep research (optional, defaults to o4-mini-deep-research)
+            verbose: Enable verbose output (default: False)
+            
+        Returns:
+            str: Research report
+        """
+        try:
+            from praisonaiagents import DeepResearchAgent
+            
+            # Suppress logging unless verbose
+            if not verbose:
+                logging.getLogger('google').setLevel(logging.WARNING)
+                logging.getLogger('google.genai').setLevel(logging.WARNING)
+                logging.getLogger('httpx').setLevel(logging.WARNING)
+                logging.getLogger('httpcore').setLevel(logging.WARNING)
+            
+            print("[bold green]Starting Deep Research...[/bold green]")
+            print(f"Query: {query}")
+            
+            # Default model if not specified
+            if not model:
+                model = "o4-mini-deep-research"
+            
+            print(f"Model: {model}")
+            
+            # Create DeepResearchAgent
+            agent = DeepResearchAgent(
+                model=model,
+                verbose=verbose
+            )
+            
+            # Execute the research (streaming is enabled by default)
+            result = agent.research(query)
+            
+            print("\n[bold green]Research Complete![/bold green]")
+            print("\n" + "="*60)
+            print(result.report)
+            print("="*60)
+            
+            # Show citations if available
+            if result.citations:
+                print(f"\n[bold]Citations ({len(result.citations)}):[/bold]")
+                for i, citation in enumerate(result.citations, 1):
+                    title = getattr(citation, 'title', 'Untitled')
+                    url = getattr(citation, 'url', '')
+                    print(f"  {i}. {title}")
+                    if url:
+                        print(f"     {url}")
+            
+            return result.report
+            
+        except ImportError as e:
+            print(f"[red]ERROR: Failed to import DeepResearchAgent: {e}[/red]")
+            print("Make sure praisonaiagents is installed: pip install praisonaiagents")
+            sys.exit(1)
+        except Exception as e:
+            print(f"[red]ERROR: Research failed: {e}[/red]")
+            sys.exit(1)
+
 if __name__ == "__main__":
     praison_ai = PraisonAI()
     praison_ai.main()

src/praisonai/praisonai/deploy.py

@@ -57,7 +57,7 @@ class CloudDeployer:
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==2.2.89 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==2.2.90 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

src/praisonai/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "PraisonAI"
-version = "2.2.89"
+version = "2.2.90"
 description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
 readme = "README.md"
 license = ""
@@ -102,7 +102,7 @@ autogen-v4 = [
 
 [tool.poetry]
 name = "PraisonAI"
-version = "2.2.89"
+version = "2.2.90"
 description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
 authors = ["Mervin Praison"]
 license = ""

src/praisonai/uv.lock

@@ -4044,7 +4044,7 @@ wheels = [
 
 [[package]]
 name = "praisonai"
-version = "2.2.89"
+version = "2.2.90"
 source = { editable = "." }
 dependencies = [
     { name = "instructor" },