Merge pull request #532 from MervinPraison/develop

Develop

.cursorrules

@@ -1,8 +0,0 @@
-1. Make minimal code changes as possible
-2. if you are creating function, make sure to name it in more easy, user friendly , optimised manner. 
-3. Never copy the exact code if presented with a code from other location or file or codebase, just make it optimised
-4. Always Follow the principle LESS IS MORE
-5. Make it minimal change as possible
-6. Firstly try not to make any modification to the existing code as possible
-7. Only modify the existing code if its highly required, without that if it cant be done, then add new code section. 
-8. If you are adding new code, make sure to add it in a way that it can be easily integrated with the existing codebase. 

.eslintrc

@@ -1,10 +0,0 @@
-{
-    "extends": ["plugin:mdx/recommended"],
-    // optional, if you want to lint code blocks at the same time
-    "settings": {
-      "mdx/code-blocks": true,
-      // optional, if you want to disable language mapper, set it to `false`
-      // if you want to override the default language mapper inside, you can provide your own
-      "mdx/language-mapper": {}
-    }
-  }

.github/workflows/python-package.yml

@@ -24,17 +24,43 @@ jobs:
       uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
+
+    - name: Set environment variables
+      run: |
+        echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
+        echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
+        echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}" >> $GITHUB_ENV
+        echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         python -m pip install --upgrade pip
         python -m pip install flake8 pytest
+        python -m pip install ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
+        python -m pip install duckduckgo_search
+        python -m pip install pytest-asyncio pytest-cov
         if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+        
+    - name: Debug API Key Status
+      run: |
+        echo "🔍 Checking API key availability..."
+        if [ -n "${{ secrets.OPENAI_API_KEY }}" ]; then
+          echo "✅ GitHub secret OPENAI_API_KEY is available"
+          echo "🔑 API key starts with: $(echo "$OPENAI_API_KEY" | cut -c1-7)..."
+        else
+          echo "⚠️ GitHub secret OPENAI_API_KEY is NOT set - using fallback"
+          echo "🔑 Using fallback key: sk-test-key..."
+        fi
+        echo "🌐 API Base: $OPENAI_API_BASE"
+        echo "🤖 Model: $OPENAI_MODEL_NAME"
+        
     # - name: Lint with flake8
     #   run: |
     #     # stop the build if there are Python syntax errors or undefined names
     #     flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
     #     # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
     #     flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
-    # - name: Test with pytest
-    #   run: |
-    #     pytest
+    - name: Test with pytest
+      run: |
+        cd src/praisonai && python -m pytest

.github/workflows/python-publish.yml

@@ -31,9 +31,10 @@ jobs:
         python -m pip install --upgrade pip
         pip install build
     - name: Build package
-      run: python -m build
+      run: python -m build src/praisonai
     - name: Publish package
       uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
       with:
         user: __token__
         password: ${{ secrets.PYPI_API_TOKEN }}
+        packages_dir: src/praisonai/dist/

.github/workflows/test-comprehensive.yml

@@ -44,8 +44,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system duckduckgo_search
         uv pip install --system pytest pytest-asyncio pytest-cov pytest-benchmark
@@ -55,7 +57,6 @@ jobs:
         echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
         echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
         echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
 
     - name: Run Comprehensive Test Suite
       run: |
@@ -66,28 +67,28 @@ jobs:
         
         case $TEST_TYPE in
           "unit")
-            python tests/test_runner.py --pattern unit
+            cd src/praisonai && python tests/test_runner.py --pattern unit
             ;;
           "integration")
-            python tests/test_runner.py --pattern integration
+            cd src/praisonai && python tests/test_runner.py --pattern integration
             ;;
           "fast")
-            python tests/test_runner.py --pattern fast
+            cd src/praisonai && python tests/test_runner.py --pattern fast
             ;;
           "performance")
-            python tests/test_runner.py --pattern "performance"
+            cd src/praisonai && python tests/test_runner.py --pattern "performance"
             ;;
           "frameworks")
-            python tests/test_runner.py --pattern frameworks
+            cd src/praisonai && python tests/test_runner.py --pattern frameworks
             ;;
           "autogen")
-            python tests/test_runner.py --pattern autogen
+            cd src/praisonai && python tests/test_runner.py --pattern autogen
             ;;
           "crewai")
-            python tests/test_runner.py --pattern crewai
+            cd src/praisonai && python tests/test_runner.py --pattern crewai
             ;;
           "all"|*)
-            python tests/test_runner.py --pattern all
+            cd src/praisonai && python tests/test_runner.py --pattern all
             ;;
         esac
 

.github/workflows/test-core.yml

@@ -27,8 +27,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system duckduckgo_search
         uv pip install --system pytest pytest-asyncio pytest-cov
@@ -38,31 +40,201 @@ jobs:
         echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
         echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
         echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}" >> $GITHUB_ENV
+        echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
         echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
+        # Also export to current shell session for immediate availability
+        export OPENAI_API_KEY="${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}"
+        export OPENAI_API_BASE="${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}"
+        export OPENAI_MODEL_NAME="${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}"
+        export LOGLEVEL=DEBUG
+        # Verify immediate availability
+        echo "🔧 Immediate verification in same step:"
+        echo "  OPENAI_API_KEY length in current session: ${#OPENAI_API_KEY}"
+        echo "  OPENAI_API_KEY starts with sk-: $(echo "$OPENAI_API_KEY" | grep -q '^sk-' && echo 'YES' || echo 'NO')"
+
+    - name: Debug API Key Status
+      run: |
+        echo "🔍 Checking API key availability..."
+        if [ -n "${{ secrets.OPENAI_API_KEY }}" ]; then
+          echo "✅ GitHub secret OPENAI_API_KEY is available"
+          echo "🔑 API key starts with: $(echo "$OPENAI_API_KEY" | cut -c1-7)..."
+        else
+          echo "⚠️ GitHub secret OPENAI_API_KEY is NOT set - using fallback"
+          echo "🔑 Using fallback key: sk-test-key..."
+        fi
+        echo "🌐 API Base: $OPENAI_API_BASE"
+        echo "🤖 Model: $OPENAI_MODEL_NAME"
+        echo "🐛 Log Level: $LOGLEVEL"
+        echo "📊 Environment Check:"
+        echo "  - OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
+        echo "  - OPENAI_API_BASE: $OPENAI_API_BASE"
+        echo "  - OPENAI_MODEL_NAME: $OPENAI_MODEL_NAME"
+        echo "  - LOGLEVEL: $LOGLEVEL"
+        echo "🔍 Is API key actually set?"
+        echo "  - API key starts with sk-: $(echo "$OPENAI_API_KEY" | grep -q '^sk-' && echo 'YES' || echo 'NO')"
+        echo "  - API key is not test key: $([ "$OPENAI_API_KEY" != 'sk-test-key-for-github-actions-testing-only-not-real' ] && echo 'YES' || echo 'NO')"
+
+    - name: Debug Environment Variables Raw
+      run: |
+        echo "🔧 Raw environment variable check:"
+        echo "OPENAI_API_KEY set: $(if [ -n "$OPENAI_API_KEY" ]; then echo 'YES'; else echo 'NO'; fi)"
+        echo "OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
+        echo "OPENAI_API_KEY first 10 chars: ${OPENAI_API_KEY:0:10}"
+        echo "OPENAI_API_KEY last 5 chars: ${OPENAI_API_KEY: -5}"
+        printenv | grep OPENAI || echo "No OPENAI env vars found"
+
+    - name: Debug Python Environment Variables  
+      run: |
+        python -c "
+        import os
+        print('🐍 Python Environment Variable Check:')
+        api_key = os.environ.get('OPENAI_API_KEY', 'NOT_SET')
+        if api_key != 'NOT_SET':
+            print(f'  ✅ OPENAI_API_KEY: {api_key[:7]}... (length: {len(api_key)})')
+        else:
+            print('  ❌ OPENAI_API_KEY: NOT_SET')
+        print(f'  🌐 OPENAI_API_BASE: {os.environ.get(\"OPENAI_API_BASE\", \"NOT_SET\")}')
+        print(f'  🤖 OPENAI_MODEL_NAME: {os.environ.get(\"OPENAI_MODEL_NAME\", \"NOT_SET\")}')
+        print(f'  📋 All OPENAI env vars:')
+        for key, value in os.environ.items():
+            if key.startswith('OPENAI'):
+                print(f'    {key}: {value[:10] if len(value) > 10 else value}...')
+        "
+
+    - name: Validate API Key
+      run: |
+        echo "🔑 Testing API key validity with minimal OpenAI call..."
+        python -c "
+        import os
+        try:
+            from openai import OpenAI
+            client = OpenAI(api_key=os.environ.get('OPENAI_API_KEY'))
+            response = client.models.list()
+            print('✅ API Key is VALID - OpenAI responded successfully')
+            print(f'📊 Available models: {len(list(response.data))} models found')
+        except Exception as e:
+            print(f'❌ API Key is INVALID - Error: {e}')
+            print('🔍 This explains why all API-dependent tests are failing')
+            print('💡 The GitHub secret OPENAI_API_KEY needs to be updated with a valid key')
+        "
+      continue-on-error: true
+
+    - name: Debug PraisonAI API Key Usage
+      env:
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}
+        OPENAI_API_BASE: ${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}
+        OPENAI_MODEL_NAME: ${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}
+        LOGLEVEL: DEBUG
+      run: |
+        echo "🔍 Testing PraisonAI API key usage directly..."
+        cd src/praisonai
+        python -c "
+        import os
+        import sys
+        sys.path.insert(0, '.')
+        
+        print('🔧 Direct PraisonAI API Key Check:')
+        print(f'Environment OPENAI_API_KEY: {os.environ.get(\"OPENAI_API_KEY\", \"NOT_SET\")[:10]}...')
+        
+        # Test PraisonAI initialization
+        from praisonai import PraisonAI
+        praisonai = PraisonAI()
+        
+        print(f'PraisonAI config_list: {praisonai.config_list}')
+        api_key_from_config = praisonai.config_list[0].get('api_key', 'NOT_SET')
+        print(f'API key from PraisonAI config: {api_key_from_config[:10] if api_key_from_config != \"NOT_SET\" else \"NOT_SET\"}...')
+        
+        # Test PraisonAIModel with explicit API key (the way CrewAI will use it)
+        from praisonai.inc.models import PraisonAIModel
+        
+        print('\\n🧪 Testing PraisonAIModel with explicit API key (CrewAI method):')
+        model_with_explicit_key = PraisonAIModel(
+            model='openai/gpt-4o-mini',
+            base_url=praisonai.config_list[0].get('base_url'),
+            api_key=praisonai.config_list[0].get('api_key')
+        )
+        print(f'  Model: {model_with_explicit_key.model}')
+        print(f'  Model name: {model_with_explicit_key.model_name}')
+        print(f'  API key var: {model_with_explicit_key.api_key_var}')
+        print(f'  API key (explicit): {model_with_explicit_key.api_key[:10] if model_with_explicit_key.api_key != \"nokey\" else \"NOT_SET\"}...')
+        print(f'  Base URL: {model_with_explicit_key.base_url}')
+        
+        # Test if the model can be created without errors
+        try:
+            llm_instance = model_with_explicit_key.get_model()
+            print(f'  ✅ LLM instance created successfully: {type(llm_instance).__name__}')
+            print(f'  LLM instance API key: {getattr(llm_instance, \"openai_api_key\", \"NOT_FOUND\")[:10] if hasattr(llm_instance, \"openai_api_key\") else \"NO_API_KEY_ATTR\"}...')
+        except Exception as e:
+            print(f'  ❌ Failed to create LLM instance: {e}')
+        "
+      continue-on-error: true
 
     - name: Run Unit Tests
       run: |
-        python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonaiagents --cov-report=term-missing
+        cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=term-missing
 
     - name: Run Integration Tests  
       run: |
-        python -m pytest tests/integration/ -v --tb=short --disable-warnings
+        cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings
 
-    - name: Run AutoGen Framework Tests
+    - name: Debug Directory Structure
+      run: |
+        echo "🔍 Debugging directory structure for CrewAI tests..."
+        cd src/praisonai
+        echo "Current working directory: $(pwd)"
+        echo "📁 Contents of current directory:"
+        ls -la
+        echo ""
+        echo "📁 Contents of tests directory:"
+        ls -la tests/ || echo "❌ tests/ directory not found"
+        echo ""
+        echo "📁 Contents of tests/integration:"
+        ls -la tests/integration/ || echo "❌ tests/integration/ directory not found"
+        echo ""
+        echo "📁 Looking for crewai directory:"
+        find . -name "crewai" -type d 2>/dev/null || echo "❌ No crewai directories found"
+        echo ""
+        echo "📁 Full directory tree of tests:"
+        tree tests/ || find tests/ -type d 2>/dev/null || echo "❌ Cannot explore tests directory"
+
+    - name: Test AutoGen Framework
       run: |
         echo "🤖 Testing AutoGen Framework Integration..."
-        python tests/test_runner.py --pattern autogen --verbose || echo "⚠️ AutoGen tests completed with issues"
-      continue-on-error: true
+        cd src/praisonai && python tests/test_runner.py --pattern autogen --verbose
 
-    - name: Run CrewAI Framework Tests  
+    - name: Test CrewAI Framework
       run: |
         echo "⛵ Testing CrewAI Framework Integration..."
-        python tests/test_runner.py --pattern crewai --verbose || echo "⚠️ CrewAI tests completed with issues"
-      continue-on-error: true
+        cd src/praisonai
+        echo "🔍 Trying test runner first..."
+        python tests/test_runner.py --pattern crewai --verbose || {
+          echo "❌ Test runner failed, trying direct pytest..."
+          echo "📁 Current directory: $(pwd)"
+          echo "📁 Looking for CrewAI tests..."
+          find . -name "*crewai*" -type f 2>/dev/null
+          echo "🧪 Trying direct pytest on integration/crewai..."
+          python -m pytest tests/integration/crewai/ -v --tb=short --disable-warnings || {
+            echo "❌ Direct path failed, trying relative path..."
+            python -m pytest integration/crewai/ -v --tb=short --disable-warnings || {
+              echo "❌ All CrewAI test attempts failed"
+              exit 1
+            }
+          }
+        }
 
-    - name: Run Legacy Tests
+    - name: Run Legacy Tests with API Key
+      env:
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}
+        OPENAI_API_BASE: ${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}
+        OPENAI_MODEL_NAME: ${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}
+        LOGLEVEL: DEBUG
       run: |
-        python -m pytest tests/test.py -v --tb=short --disable-warnings
+        echo "🧪 Running legacy tests with real API key..."
+        echo "🔧 Final environment check before pytest:"
+        echo "  OPENAI_API_KEY set: $([ -n "$OPENAI_API_KEY" ] && echo 'YES' || echo 'NO')"
+        echo "  OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
+        echo "  OPENAI_API_KEY starts with sk-: $(echo "$OPENAI_API_KEY" | grep -q '^sk-' && echo 'YES' || echo 'NO')"
+        cd src/praisonai && python -m pytest tests/test.py -v --tb=short --disable-warnings
 
     - name: Upload Coverage Reports
       if: matrix.python-version == '3.11'

.github/workflows/test-extended.yml

@@ -28,8 +28,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system duckduckgo_search
 
@@ -50,19 +52,19 @@ jobs:
         }
         
         # Test basic agent functionality
-        timeout_run python src/praisonai-agents/basic-agents.py
+        timeout_run python ${{ github.workspace }}/src/praisonai-agents/basic-agents.py
         
         # Test async functionality  
-        timeout_run python src/praisonai-agents/async_example.py
+        timeout_run python ${{ github.workspace }}/src/praisonai-agents/async_example.py
         
         # Test knowledge/RAG functionality
-        timeout_run python src/praisonai-agents/knowledge-agents.py
+        timeout_run python ${{ github.workspace }}/src/praisonai-agents/knowledge-agents.py
         
         # Test MCP functionality
-        timeout_run python src/praisonai-agents/mcp-basic.py
+        timeout_run python ${{ github.workspace }}/src/praisonai-agents/mcp-basic.py
         
         # Test UI functionality
-        timeout_run python src/praisonai-agents/ui.py
+        timeout_run python ${{ github.workspace }}/src/praisonai-agents/ui.py
         
         echo "✅ Example script testing completed"
       continue-on-error: true
@@ -84,8 +86,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system pytest pytest-benchmark
 
@@ -96,7 +100,7 @@ jobs:
         import time
         import sys
         import statistics
-        sys.path.insert(0, 'src/praisonai-agents')
+        sys.path.insert(0, 'src/praisonai')
         
         print('🏃 Testing agent creation performance...')
         times = []

.github/workflows/test-frameworks.yml

@@ -43,8 +43,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system duckduckgo_search
         uv pip install --system pytest pytest-asyncio pytest-cov
@@ -54,12 +56,11 @@ jobs:
         echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
         echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
         echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
 
     - name: Test ${{ matrix.framework }} Framework
       run: |
         echo "🧪 Testing ${{ matrix.framework }} framework integration with Python ${{ matrix.python-version }}"
-        python tests/test_runner.py --pattern ${{ matrix.framework }} --verbose --coverage
+        cd src/praisonai && python tests/test_runner.py --pattern ${{ matrix.framework }} --verbose --coverage
       continue-on-error: false
 
     - name: Generate Framework Test Report

.github/workflows/test-real.yml

@@ -52,8 +52,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system pytest pytest-asyncio pytest-cov
 
@@ -62,7 +64,6 @@ jobs:
         echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> $GITHUB_ENV
         echo "ANTHROPIC_API_KEY=${{ secrets.ANTHROPIC_API_KEY }}" >> $GITHUB_ENV
         echo "GOOGLE_API_KEY=${{ secrets.GOOGLE_API_KEY }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
 
     - name: Verify API Keys
       run: |
@@ -77,14 +78,14 @@ jobs:
       if: ${{ github.event.inputs.framework == 'autogen' || github.event.inputs.framework == 'all' }}
       run: |
         echo "🤖 Running REAL AutoGen tests (⚠️  API costs may apply)"
-        python -m pytest tests/e2e/autogen/ -v -m real --tb=short
+        cd src/praisonai && python -m pytest tests/e2e/autogen/ -v -m real --tb=short
       continue-on-error: false
 
     - name: Run Real CrewAI Tests
       if: ${{ github.event.inputs.framework == 'crewai' || github.event.inputs.framework == 'all' }}
       run: |
         echo "⛵ Running REAL CrewAI tests (⚠️  API costs may apply)"
-        python -m pytest tests/e2e/crewai/ -v -m real --tb=short
+        cd src/praisonai && python -m pytest tests/e2e/crewai/ -v -m real --tb=short
       continue-on-error: false
 
     - name: Generate Real Test Report

.github/workflows/unittest.yml

@@ -20,8 +20,10 @@ jobs:
         curl -LsSf https://astral.sh/uv/install.sh | sh
         echo "$HOME/.local/bin" >> $GITHUB_PATH
 
+
     - name: Install dependencies
       run: |
+        cd src/praisonai
         uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
         uv pip install --system duckduckgo_search
         uv pip install --system pytest pytest-asyncio pytest-cov
@@ -89,13 +91,14 @@ jobs:
     - name: Find Researcher Role Source
       run: |
         echo "🔍 Hunting for the mysterious 'Researcher' role..."
+        cd src/praisonai
         python -c "
         import os
         import yaml
         import glob
         
         print('📋 Searching for Researcher role in all YAML files:')
-        yaml_files = glob.glob('tests/*.yaml')
+        yaml_files = glob.glob('src/praisonai/tests/*.yaml')
         
         for yaml_file in yaml_files:
             try:
@@ -137,6 +140,7 @@ jobs:
     - name: Trace AutoGen Execution Path
       run: |
         echo "🔍 Tracing AutoGen execution to find where it diverges..."
+        cd src/praisonai
         python -c "
         import os
         import sys
@@ -161,7 +165,7 @@ jobs:
             
             # Load the YAML to check what it contains
             import yaml
-            with open('tests/autogen-agents.yaml', 'r') as f:
+            with open('src/praisonai/tests/autogen-agents.yaml', 'r') as f:
                 config = yaml.safe_load(f)
             
             framework = agents_gen.framework or config.get('framework')
@@ -207,13 +211,14 @@ jobs:
     - name: Debug YAML Loading and Roles
       run: |
         echo "🔍 Tracing YAML file loading and role creation..."
+        cd src/praisonai
         python -c "
         import os
         import sys
         import yaml
         sys.path.insert(0, '.')
         
-        print('📁 Available YAML files in tests/:')
+        print('📁 Available YAML files in src/praisonai/tests/:')
         import glob
         yaml_files = glob.glob('tests/*.yaml')
         for f in yaml_files:
@@ -295,6 +300,7 @@ jobs:
     - name: Debug PraisonAIModel API Key Flow
       run: |
         echo "🔍 Testing PraisonAIModel API key handling..."
+        cd src/praisonai
         python -c "
         import os
         import sys
@@ -349,12 +355,13 @@ jobs:
     - name: Test Direct PraisonAI Execution
       run: |
         echo "🧪 Testing direct PraisonAI execution (what works locally)..."
-        python -m praisonai tests/autogen-agents.yaml
+        python -m praisonai src/praisonai/tests/autogen-agents.yaml
       continue-on-error: true
 
     - name: Comprehensive Execution Debug
       run: |
         echo "🔍 Comprehensive debugging of PraisonAI execution path..."
+        cd src/praisonai
         python -c "
         import os
         import sys
@@ -374,10 +381,10 @@ jobs:
             print(f'  {f}')
         
         print()
-        print('📋 Files in tests/ directory:')
+        print('📋 Files in src/praisonai/tests/ directory:')
         for f in os.listdir('tests'):
             if f.endswith('.yaml'):
-                print(f'  tests/{f}')
+                print(f'  src/praisonai/tests/{f}')
         
         # Check if root agents.yaml exists
         print()
@@ -399,7 +406,7 @@ jobs:
             from praisonai.agents_generator import AgentsGenerator
             
             # Test with full path
-            test_file = 'tests/autogen-agents.yaml'
+            test_file = 'src/praisonai/tests/autogen-agents.yaml'
             print(f'  Using test file: {test_file}')
             print(f'  File exists: {os.path.exists(test_file)}')
             
@@ -463,11 +470,23 @@ jobs:
     - name: Run Fast Tests
       run: |
         # Run the fastest, most essential tests
-        python tests/test_runner.py --pattern fast
+        cd src/praisonai && python tests/test_runner.py --pattern fast
+
+    - name: Run Real API Tests
+      run: |
+        echo "🔑 Running real API tests with actual OpenAI API key..."
+        cd src/praisonai && python -m pytest tests/test_agents_playbook.py -v --tb=short --disable-warnings -m real
+      continue-on-error: true
+
+    - name: Run E2E Real Tests
+      run: |
+        echo "🧪 Running E2E real tests..."
+        cd src/praisonai && python -m pytest tests/e2e/ -v --tb=short --disable-warnings -m real
+      continue-on-error: true
 
     - name: Run Legacy Example Tests
       run: |
-        python -m pytest tests/test.py -v --tb=short --disable-warnings
+        cd src/praisonai && python -m pytest tests/test.py -v --tb=short --disable-warnings
       continue-on-error: true
 
     - name: Restore Root Config Files

.gitignore

@@ -54,6 +54,8 @@ agentops.log
 crewAI
 !tests/integration/crewai
 !tests/e2e/crewai
+!src/praisonai/tests/integration/crewai
+!src/praisonai/tests/e2e/crewai
 
 # virtualenv
 .venv
@@ -72,3 +74,4 @@ agents/praisonaiagents/praisonaiagents.egg-info
 .praison
 # Local Netlify folder
 .netlify
+.qodo

docker/Dockerfile

@@ -1,6 +1,6 @@
 FROM python:3.11-slim
 WORKDIR /app
 COPY . .
-RUN pip install flask praisonai==2.2.16 gunicorn markdown
+RUN pip install flask praisonai==2.2.17 gunicorn markdown
 EXPOSE 8080
 CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]

docker/Dockerfile.chat

@@ -13,7 +13,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN pip install --no-cache-dir \
     praisonaiagents>=0.0.4 \
     praisonai_tools \
-    "praisonai==2.2.16" \
+    "praisonai==2.2.17" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.dev

@@ -15,7 +15,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN pip install --no-cache-dir \
     praisonaiagents>=0.0.4 \
     praisonai_tools \
-    "praisonai==2.2.16" \
+    "praisonai==2.2.17" \
     "praisonai[ui]" \
     "praisonai[chat]" \
     "praisonai[realtime]" \

docker/Dockerfile.ui

@@ -13,7 +13,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN pip install --no-cache-dir \
     praisonaiagents>=0.0.4 \
     praisonai_tools \
-    "praisonai==2.2.16" \
+    "praisonai==2.2.17" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docs/api/praisonai/deploy.html

@@ -110,7 +110,7 @@ Loads environment variables from .env file or system and sets them.</p>
             file.write(&#34;FROM python:3.11-slim\n&#34;)
             file.write(&#34;WORKDIR /app\n&#34;)
             file.write(&#34;COPY . .\n&#34;)
-            file.write(&#34;RUN pip install flask praisonai==2.2.16 gunicorn markdown\n&#34;)
+            file.write(&#34;RUN pip install flask praisonai==2.2.17 gunicorn markdown\n&#34;)
             file.write(&#34;EXPOSE 8080\n&#34;)
             file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
             

docs/developers/local-development.mdx

@@ -27,7 +27,7 @@ WORKDIR /app
 
 COPY . .
 
-RUN pip install flask praisonai==2.2.16 watchdog
+RUN pip install flask praisonai==2.2.17 watchdog
 
 EXPOSE 5555
 

docs/mint.json

@@ -156,6 +156,7 @@
         "models/google",
         "models/openrouter",
         "models/anthropic",
+        "models/aws",
         "models/cohere",
         "models/mistral",
         "models/deepseek",

docs/models/aws.mdx

@@ -0,0 +1,173 @@
+---
+title: "AWS Bedrock"
+description: "Instructions for integrating AWS Bedrock models with PraisonAI, including API setup and agent configuration"
+icon: "aws"
+---
+
+# Add AWS Bedrock to PraisonAI
+
+AWS Bedrock provides access to high-performing foundation models from leading AI companies like Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API.
+
+## Setup
+
+### Prerequisites
+
+Make sure you have AWS credentials configured:
+
+```bash
+pip install boto3
+```
+
+### Environment Variables
+
+Set up your AWS credentials:
+
+```bash
+export AWS_ACCESS_KEY_ID=your_access_key_id
+export AWS_SECRET_ACCESS_KEY=your_secret_access_key
+export AWS_REGION=us-east-1
+```
+
+## Using AWS Bedrock Models
+
+### Available Models
+
+AWS Bedrock supports various model providers:
+
+- **Anthropic Claude**: `bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0`
+- **Anthropic Claude Instant**: `bedrock/anthropic.claude-instant-v1`
+- **Amazon Titan**: `bedrock/amazon.titan-text-express-v1`
+- **Cohere Command**: `bedrock/cohere.command-text-v14`
+- **Meta Llama**: `bedrock/meta.llama2-70b-chat-v1`
+
+### agents.yaml Configuration
+
+```yaml
+framework: crewai
+topic: create movie script about cat in mars
+roles:
+  researcher:
+    backstory: Skilled in finding and organizing information, with a focus on research efficiency.
+    goal: Gather information about Mars and cats
+    role: Researcher
+    llm:
+      model: "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
+      temperature: 0.7
+    tasks:
+      gather_research:
+        description: Research and gather information about Mars, its environment, and cats, including their behavior and characteristics.
+        expected_output: Document with research findings, including interesting facts and information.
+    tools:
+    - ''
+```
+
+### Python Code Example
+
+```python
+from praisonaiagents import Agent
+
+# Using Anthropic Claude via Bedrock
+agent = Agent(
+    instructions="You are a helpful assistant",
+    llm={
+        "model": "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0",
+        "temperature": 0.7
+    }
+)
+
+# Using Amazon Titan via Bedrock
+titan_agent = Agent(
+    instructions="You are a helpful assistant",
+    llm={
+        "model": "bedrock/amazon.titan-text-express-v1",
+        "temperature": 0.7
+    }
+)
+
+response = agent.ask("What is artificial intelligence?")
+print(response)
+```
+
+## IAM Permissions
+
+Ensure your AWS IAM user/role has the necessary permissions to access Bedrock:
+
+```json
+{
+    "Version": "2012-10-17",
+    "Statement": [
+        {
+            "Effect": "Allow",
+            "Action": [
+                "bedrock:InvokeModel",
+                "bedrock:InvokeModelWithResponseStream"
+            ],
+            "Resource": "*"
+        }
+    ]
+}
+```
+
+## Regional Availability
+
+AWS Bedrock is available in the following regions:
+- `us-east-1` (N. Virginia)
+- `us-west-2` (Oregon)
+- `ap-southeast-1` (Singapore)
+- `ap-northeast-1` (Tokyo)
+- `eu-central-1` (Frankfurt)
+- `eu-west-3` (Paris)
+
+Make sure to set your `AWS_REGION` environment variable to a supported region.
+
+## Cost Optimization
+
+AWS Bedrock charges are based on:
+- **Input tokens**: Text sent to the model
+- **Output tokens**: Text generated by the model
+
+Consider using smaller models for development and testing to optimize costs.
+
+## Error Handling
+
+Common errors and solutions:
+
+- **AccessDeniedException**: Check your IAM permissions
+- **ResourceNotFoundException**: Verify the model ID is correct and available in your region
+- **ThrottlingException**: Implement retry logic with exponential backoff
+- **ValidationException**: Check your input parameters and format
+
+## Advanced Configuration
+
+### Custom Endpoint
+
+For specific regions or custom endpoints:
+
+```python
+agent = Agent(
+    instructions="You are a helpful assistant",
+    llm={
+        "model": "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0",
+        "aws_region": "us-west-2",
+        "temperature": 0.7
+    }
+)
+```
+
+### Streaming Responses
+
+For real-time responses:
+
+```python
+agent = Agent(
+    instructions="You are a helpful assistant",
+    llm={
+        "model": "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0",
+        "stream": True
+    }
+)
+```
+
+| PraisonAI Chat | PraisonAI Code | PraisonAI (Multi-Agents) |
+| --- | --- | --- |
+| [LiteLLM](https://litellm.vercel.app/docs/providers) | [LiteLLM](https://litellm.vercel.app/docs/providers) | [Models](../models.md) |

docs/models/ollama.mdx

@@ -10,8 +10,41 @@ icon: "terminal"
 
 <AccordionGroup>
   <Accordion title="Ollama Integration" defaultOpen>
+    **Standard OpenAI SDK Environment Variables (Recommended):**
     ```bash
     export OPENAI_BASE_URL=http://localhost:11434/v1
+    export MODEL_NAME=deepseek-r1:14b
+    export OPENAI_API_KEY=NA
+    ```
+    
+    **Alternative Environment Variable Patterns:**
+    ```bash
+    # Community recommended pattern
+    export OLLAMA_API_BASE=http://localhost:11434
+    export MODEL_NAME=gemma3:4b
+    export OPENAI_API_KEY=fake-key
+    
+    # Legacy pattern (still supported)
+    export OPENAI_API_BASE=http://localhost:11434/v1
+    export OPENAI_MODEL_NAME=llama2
+    export OPENAI_API_KEY=not-needed
+    ```
+    
+    **Usage with praisonai --init:**
+    ```bash
+    # Make sure Ollama is running
+    ollama serve
+    
+    # Pull your desired model
+    ollama pull deepseek-r1:14b
+    
+    # Set environment variables
+    export OPENAI_BASE_URL=http://localhost:11434/v1
+    export MODEL_NAME=deepseek-r1:14b
+    export OPENAI_API_KEY=NA
+    
+    # Initialize agents
+    praisonai --init "Create a story about AI"
     ```
   </Accordion>
 </AccordionGroup>

docs/ui/chat.mdx

@@ -155,7 +155,7 @@ To facilitate local development with live reload, you can use Docker. Follow the
 
     COPY . .
 
-    RUN pip install flask praisonai==2.2.16 watchdog
+    RUN pip install flask praisonai==2.2.17 watchdog
 
     EXPOSE 5555
 

docs/ui/code.mdx

@@ -208,7 +208,7 @@ To facilitate local development with live reload, you can use Docker. Follow the
 
     COPY . .
 
-    RUN pip install flask praisonai==2.2.16 watchdog
+    RUN pip install flask praisonai==2.2.17 watchdog
 
     EXPOSE 5555
 

eslint.config.mjs

@@ -1,18 +0,0 @@
-import globals from "globals";
-import * as mdx from 'eslint-plugin-mdx';
-
-export default [
-  {
-    files: ["**/*.{md,mdx}"],
-    processor: mdx.createRemarkProcessor({
-      lintCodeBlocks: true,
-    }),
-    languageOptions: {
-      globals: globals.browser,
-    },
-    rules: {
-      'no-var': 'error',
-      'prefer-const': 'error',
-    },
-  },
-];

examples/cookbooks/yaml/aws_bedrock_agents.yaml

@@ -0,0 +1,98 @@
+framework: crewai
+topic: "Technology Research and Content Creation using AWS Bedrock"
+
+roles:
+  research_specialist:
+    role: "Research Specialist"
+    backstory: |
+      You are an experienced technology researcher with deep expertise in analyzing 
+      emerging technologies and market trends. You excel at gathering comprehensive 
+      information from various sources and synthesizing it into actionable insights.
+    goal: |
+      Research and analyze the latest developments in artificial intelligence and 
+      cloud computing technologies, focusing on practical applications and market impact.
+    verbose: true
+    allow_delegation: false
+    llm:
+      model: "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
+      temperature: 0.3
+    tools:
+      - "InternetSearchTool"
+    tasks:
+      technology_research:
+        description: |
+          Research the latest developments in AI and cloud computing. Focus on:
+          1. Emerging AI model architectures and capabilities
+          2. Cloud service innovations and their business impact
+          3. Integration patterns between AI and cloud platforms
+          4. Market adoption trends and future predictions
+        expected_output: |
+          A comprehensive research report with:
+          - Executive summary of key findings
+          - Detailed analysis of 3-5 major technology trends
+          - Market impact assessment
+          - Future outlook and recommendations
+
+  content_creator:
+    role: "Technical Content Creator"
+    backstory: |
+      You are a skilled technical writer and content creator who specializes in 
+      translating complex technology concepts into engaging, accessible content 
+      for various audiences including developers, business leaders, and end users.
+    goal: |
+      Create compelling and informative content that explains complex technologies 
+      in clear, engaging ways while maintaining technical accuracy and relevance.
+    verbose: true
+    allow_delegation: false
+    llm:
+      model: "bedrock/amazon.titan-text-express-v1"
+      temperature: 0.7
+    tasks:
+      content_creation:
+        description: |
+          Based on the research findings, create engaging technical content including:
+          1. A blog post explaining the technology trends for a business audience
+          2. Technical documentation for developers
+          3. Executive summary for decision makers
+          4. Social media content highlighting key insights
+        expected_output: |
+          A content package including:
+          - 800-word blog post with clear structure and examples
+          - Technical implementation guide (500 words)
+          - Executive summary (200 words)
+          - 3-5 social media posts with key takeaways
+
+  quality_reviewer:
+    role: "Content Quality Reviewer"
+    backstory: |
+      You are a meticulous editor and quality assurance specialist with extensive 
+      experience in technical content review. You ensure accuracy, clarity, and 
+      consistency while maintaining the intended tone and message.
+    goal: |
+      Review and refine all content to ensure it meets high standards for accuracy, 
+      clarity, engagement, and professional presentation.
+    verbose: true
+    allow_delegation: false
+    llm:
+      model: "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
+      temperature: 0.2
+    tasks:
+      content_review:
+        description: |
+          Review all created content for:
+          1. Technical accuracy and factual correctness
+          2. Clarity and readability for target audiences
+          3. Consistency in tone and messaging
+          4. Grammar, style, and formatting
+          5. Overall engagement and impact
+        expected_output: |
+          A comprehensive review report with:
+          - Content quality assessment
+          - Specific recommendations for improvements
+          - Final polished versions of all content
+          - Quality score and approval status
+
+dependencies:
+  - research_specialist
+  - content_creator
+  - quality_reviewer