Release v3.1.2

## Queue Editing
- Added update_input method to QueueScheduler for editing queued runs
- Added update_input method to QueueManager
- Added handler for QueuePanelWidget.EditRequested in TUIApp
- Only queued (not running) items can be edited

## Queue-First Architecture Support
- Queue items can be edited before processing
- EditRequested message already existed in QueuePanelWidget

31 tests passing

.github/actions/claude-code-action/action.yml

@@ -5,9 +5,6 @@ inputs:
   anthropic_api_key:
     description: "Anthropic API key"
     required: false
-  claude_code_oauth_token:
-    description: "Claude Code OAuth Token for Claude Pro"
-    required: false
   github_token:
     description: "GitHub token for Claude to operate with"
     required: false
@@ -215,13 +212,6 @@ runs:
         - Documentation updates
         - Testing and deployment
         
-        CRITICAL INSTRUCTION: If your task involves modifying codebase files to add a feature or fix a bug:
-        1. ALWAYS create a new git branch appropriately named (e.g. \`feature/issue-<number>\`).
-        2. MANDATORY: Before writing any code, you MUST carefully read "src/praisonai-agents/AGENTS.md" to understand this repository's extremely specific Architecture, Protocol-First design rules, and Agent-Centric Philosophy.
-        3. Make your necessary code changes honoring the rules in AGENTS.md.
-        4. Commit your changes and push the branch to the remote repository.
-        5. Use the GitHub CLI (\`gh pr create --title "..." --body "Fixes #<number>"\`) to open a Pull Request containing your work.
-        
         Respond naturally and helpfully to the user's request using the available tools.
         EOF
         
@@ -263,5 +253,4 @@ runs:
         echo "✅ Claude Code execution completed"
       env:
         ANTHROPIC_API_KEY: ${{ inputs.anthropic_api_key }}
-        CLAUDE_CODE_OAUTH_TOKEN: ${{ inputs.claude_code_oauth_token }}
         GITHUB_TOKEN: ${{ inputs.github_token }} 

.github/actions/claude-issue-triage-action/action.yml

@@ -6,8 +6,8 @@ inputs:
     description: "Timeout in minutes for execution"
     required: false
     default: "5"
-  claude_code_oauth_token:
-    description: "Claude Code OAuth token for Pro subscription access"
+  anthropic_api_key:
+    description: "Anthropic API key"
     required: true
   github_token:
     description: "GitHub token with repo and issues permissions"
@@ -21,8 +21,7 @@ runs:
       with:
         fetch-depth: 0
 
-    - name: Create prompt
-      id: generate_prompt
+    - name: Create prompt file
       shell: bash
       run: |
         mkdir -p /tmp/claude-prompts
@@ -76,16 +75,13 @@ runs:
         - Your ONLY action should be to apply labels using mcp__github__update_issue
         - It's okay to not add any labels if none are clearly applicable
         EOF
-        
-        echo "PROMPT<<DELIMITER" >> $GITHUB_OUTPUT
-        cat /tmp/claude-prompts/claude-issue-triage-prompt.txt >> $GITHUB_OUTPUT
-        echo "DELIMITER" >> $GITHUB_OUTPUT
 
     - name: Run Claude Code
       uses: ./.github/actions/claude-code-action
       with:
-        direct_prompt: ${{ steps.generate_prompt.outputs.PROMPT }}
+        prompt_file: /tmp/claude-prompts/claude-issue-triage-prompt.txt
         allowed_tools: "Bash(gh label list),mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue,mcp__github__search_issues,mcp__github__list_issues"
+        install_github_mcp: "true"
         timeout_minutes: ${{ inputs.timeout_minutes }}
-        claude_code_oauth_token: ${{ inputs.claude_code_oauth_token }}
+        anthropic_api_key: ${{ inputs.anthropic_api_key }}
         github_token: ${{ inputs.github_token }} 

.github/actions/gemini/action.yml

@@ -22,12 +22,6 @@ inputs:
       To enable observability with Google Cloud, include:
       {"telemetry": {"enabled": true, "target": "gcp"}, "sandbox": false}
     required: false
-  model:
-    description: |
-      The Gemini model to use. Options: gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite.
-      Use flash-lite for highest free-tier quota (1,000 RPD).
-    required: false
-    default: 'gemini-3.1-flash-lite-preview'
   version:
     description: |
       The version of @google/gemini-cli to execute.
@@ -76,11 +70,10 @@ runs:
 
     - name: Run Gemini CLI
       run: |
-        gemini --yolo --model "$GEMINI_MODEL" --prompt "$PROMPT"
+        gemini --yolo --prompt "$PROMPT"
       shell: bash
       env:
         GEMINI_API_KEY: ${{ inputs.GEMINI_API_KEY }}
-        GEMINI_MODEL: ${{ inputs.model }}
         PROMPT: ${{ inputs.prompt }}
 
 branding:

.github/workflows/auto-issue-comment.yml

@@ -1,46 +1,26 @@
-name: Auto Issue Comment
+name: Auto Issue Comment with PR Creation
 
 on:
-  workflow_dispatch:
-#   issues:
-#     types: [opened]
+  issues:
+    types: [opened]
 
 jobs:
-  # Trigger Claude by adding the 'claude' label (only if not already labeled)
-  # Note: @claude in comments only works from human users (not bots)
-  # The claude.yml workflow listens for issues:labeled event with 'claude' label
-  trigger-claude:
-    # Skip if issue was already created with 'claude' label to avoid double-trigger
-    if: |
-      !contains(toJSON(github.event.issue.labels), 'claude')
+  add-comment:
     runs-on: ubuntu-latest
     permissions:
       issues: write
+      contents: write
+      pull-requests: write
+      actions: read
     steps:
-      - name: Add claude label to trigger analysis
+      - name: Add automated comment
         uses: actions/github-script@v7
         with:
           github-token: ${{ secrets.GH_TOKEN }}
           script: |
-            // Check if 'claude' label already exists on this issue
-            const labels = context.payload.issue.labels.map(l => l.name);
-            if (labels.includes('claude')) {
-              console.log('Issue already has claude label, skipping');
-              return;
-            }
-
-            // Add label to trigger claude.yml via issues:labeled event
-            await github.rest.issues.addLabels({
+            github.rest.issues.createComment({
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              labels: ['claude']
-            });
-
-            // Also post instructions as a comment for context
-            await github.rest.issues.createComment({
-              issue_number: context.issue.number,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body: '🤖 Auto-triaging with Claude. Analyzing issue and implementing a fix...\n\nClaude will:\n1. Classify this issue\n2. Search codebase for root cause\n3. Implement a minimal fix following AGENTS.md\n4. Create a PR with the changes'
-            });
+              body: '@claude review this issue and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes. MAINLY IT SHOULD NOT IMPACT ON THE CURRENT SPEED OF EXECUTION of existing features, not increasing the overhead. **Please create a PR using gh tool with your changes**.'
+            })

.github/workflows/auto-pr-comment.yml

@@ -1,142 +1,23 @@
 name: Auto PR Comment
 
-# Review chain: CodeRabbit/Qodo/Gemini review first → THEN trigger Copilot
-# For human PRs: CodeRabbit/Qodo auto-review → this workflow triggers Copilot
-# For bot PRs: CodeRabbit/Qodo skip bots, so we trigger them explicitly first
-#
-# IMPORTANT: @copilot ignores bot comments. All @copilot mentions must use
-# PAT_TOKEN so the comment posts as MervinPraison (a real user).
 on:
-  issue_comment:
-    types: [created]
-  pull_request_review:
-    types: [submitted]
   pull_request:
     types: [opened]
 
 jobs:
-  # ================================================================
-  # HUMAN PRs: Trigger @copilot AFTER CodeRabbit posts its summary
-  # ================================================================
-  copilot-after-coderabbit:
-    if: |
-      github.event_name == 'issue_comment' &&
-      github.event.issue.pull_request &&
-      github.event.comment.user.login == 'coderabbitai[bot]' &&
-      contains(github.event.comment.body, 'summary by coderabbit')
+  add-comment:
     runs-on: ubuntu-latest
     permissions:
       pull-requests: write
     steps:
-      - name: Post Copilot review request (as user via PAT)
+      - name: Add automated comment
         uses: actions/github-script@v7
         with:
           github-token: ${{ secrets.GH_TOKEN }}
           script: |
-            const comments = await github.rest.issues.listComments({
-              issue_number: context.issue.number,
-              owner: context.repo.owner,
-              repo: context.repo.repo
-            });
-            // Check for duplicates — posted by MervinPraison (PAT) or github-actions[bot] (legacy)
-            const alreadyPosted = comments.data.some(c =>
-              c.body.includes('@copilot') &&
-              (c.user.login === 'MervinPraison' || c.user.login === 'github-actions[bot]')
-            );
-            if (alreadyPosted) {
-              console.log('Copilot already triggered, skipping');
-              return;
-            }
             github.rest.issues.createComment({
               issue_number: context.issue.number,
               owner: context.repo.owner,
               repo: context.repo.repo,
-              body: '@copilot Do a thorough review of this PR. Read ALL existing reviewer comments above from Qodo, Coderabbit, and Gemini first — incorporate their findings.\n\nReview areas:\n1. **Bloat check**: Are changes minimal and focused? Any unnecessary code or scope creep?\n2. **Security**: Any hardcoded secrets, unsafe eval/exec, missing input validation?\n3. **Performance**: Any module-level heavy imports? Hot-path regressions?\n4. **Tests**: Are tests included? Do they cover the changes adequately?\n5. **Backward compat**: Any public API changes without deprecation?\n6. **Code quality**: DRY violations, naming conventions, error handling?\n7. **Address reviewer feedback**: If Qodo, Coderabbit, or Gemini flagged valid issues, include them in your review\n8. Suggest specific improvements with code examples where possible'
-            })
-
-  # Fallback: Trigger @copilot after Qodo review (if Coderabbit doesn't fire)
-  copilot-after-qodo:
-    if: |
-      github.event_name == 'pull_request_review' &&
-      github.event.review.user.login == 'qodo-code-review[bot]'
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-    steps:
-      - name: Post Copilot review request (as user via PAT)
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const comments = await github.rest.issues.listComments({
-              issue_number: context.issue.number,
-              owner: context.repo.owner,
-              repo: context.repo.repo
-            });
-            const alreadyPosted = comments.data.some(c =>
-              c.body.includes('@copilot') &&
-              (c.user.login === 'MervinPraison' || c.user.login === 'github-actions[bot]')
-            );
-            if (alreadyPosted) {
-              console.log('Copilot already triggered, skipping');
-              return;
-            }
-            github.rest.issues.createComment({
-              issue_number: context.issue.number,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body: '@copilot Do a thorough review of this PR. Read ALL existing reviewer comments above first.\n\nReview areas:\n1. **Bloat check**: Are changes minimal and focused?\n2. **Security**: Any hardcoded secrets, unsafe eval/exec, missing input validation?\n3. **Performance**: Any module-level heavy imports? Hot-path regressions?\n4. **Tests**: Are tests included? Do they cover the changes adequately?\n5. **Backward compat**: Any public API changes without deprecation?\n6. **Code quality**: DRY violations, naming conventions, error handling?\n7. Suggest specific improvements with code examples where possible'
-            })
-
-  # ================================================================
-  # BOT PRs: CodeRabbit/Qodo skip bot-authored PRs by default.
-  # Trigger them explicitly. Do NOT trigger Copilot here — it will
-  # be triggered by copilot-after-coderabbit/qodo when they finish.
-  # ================================================================
-  bot-pr-trigger-reviews:
-    if: |
-      github.event_name == 'pull_request' &&
-      github.event.action == 'opened' &&
-      (
-        github.event.pull_request.user.login == 'github-actions[bot]' ||
-        github.event.pull_request.user.login == 'praisonai-triage-agent[bot]' ||
-        github.event.pull_request.user.type == 'Bot'
-      )
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-    steps:
-      - name: Trigger CodeRabbit, Qodo, and Gemini reviews
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = context.payload.pull_request.number;
-            const owner = context.repo.owner;
-            const repo = context.repo.repo;
-
-            // 1. Trigger CodeRabbit review
-            await github.rest.issues.createComment({
-              issue_number: pr, owner, repo,
-              body: '@coderabbitai review'
-            });
-            console.log(`Triggered CodeRabbit for bot PR #${pr}`);
-
-            // 2. Trigger Qodo review
-            await github.rest.issues.createComment({
-              issue_number: pr, owner, repo,
-              body: '/review'
-            });
-            console.log(`Triggered Qodo for bot PR #${pr}`);
-
-            // 3. Trigger Gemini review
-            await github.rest.issues.createComment({
-              issue_number: pr, owner, repo,
-              body: '@gemini review this PR'
-            });
-            console.log(`Triggered Gemini for bot PR #${pr}`);
-
-            // NOTE: @copilot is NOT triggered here.
-            // It will be triggered by copilot-after-coderabbit or copilot-after-qodo
-            // once those bots finish, ensuring Copilot always reviews LAST.
-            console.log('Copilot will be triggered after CodeRabbit/Qodo complete.');
+              body: '@claude review this pull request and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes. MAINLY IT SHOULD NOT IMPACT ON THE CURRENT SPEED OF EXECUTION of existing features, not increasing the overhead.'
+            }) 

.github/workflows/benchmark.yml

@@ -1,145 +0,0 @@
-name: Performance Benchmarks
-
-on:
-  workflow_dispatch:
-    inputs:
-      iterations:
-        description: 'Number of benchmark iterations'
-        required: false
-        default: '100'
-      fail_on_regression:
-        description: 'Fail if performance regresses'
-        required: false
-        default: 'true'
-
-jobs:
-  benchmark:
-    runs-on: ubuntu-latest
-    timeout-minutes: 30
-    
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Python 3.12
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.12'
-          cache: 'pip'
-
-      - name: Install dependencies
-        run: |
-          python -m pip install --upgrade pip
-          pip install -e src/praisonai-agents[all]
-          pip install agno crewai langgraph
-
-      - name: Run Import Time Benchmark
-        id: import_time
-        run: |
-          cd src/praisonai-agents
-          python benchmarks/import_time.py 2>&1 | tee import_time_output.txt
-          
-          # Extract import time
-          IMPORT_TIME=$(grep -oP 'Median:\s+\K[\d.]+' import_time_output.txt || echo "0")
-          echo "import_time=$IMPORT_TIME" >> $GITHUB_OUTPUT
-          
-          # Check threshold (200ms)
-          if (( $(echo "$IMPORT_TIME > 200" | bc -l) )); then
-            echo "::warning::Import time ${IMPORT_TIME}ms exceeds 200ms threshold"
-            if [ "${{ inputs.fail_on_regression }}" == "true" ]; then
-              echo "import_passed=false" >> $GITHUB_OUTPUT
-            fi
-          else
-            echo "import_passed=true" >> $GITHUB_OUTPUT
-          fi
-
-      - name: Run Memory Usage Benchmark
-        id: memory
-        run: |
-          cd src/praisonai-agents
-          python benchmarks/memory_usage.py 2>&1 | tee memory_output.txt
-          
-          # Extract peak memory
-          PEAK_MEMORY=$(grep -oP 'Peak:\s+\K[\d.]+' memory_output.txt || echo "0")
-          echo "peak_memory=$PEAK_MEMORY" >> $GITHUB_OUTPUT
-          
-          # Check threshold (30MB)
-          if (( $(echo "$PEAK_MEMORY > 30" | bc -l) )); then
-            echo "::warning::Memory usage ${PEAK_MEMORY}MB exceeds 30MB threshold"
-            if [ "${{ inputs.fail_on_regression }}" == "true" ]; then
-              echo "memory_passed=false" >> $GITHUB_OUTPUT
-            fi
-          else
-            echo "memory_passed=true" >> $GITHUB_OUTPUT
-          fi
-
-      - name: Run Simple Benchmark
-        id: simple
-        run: |
-          cd src/praisonai-agents
-          python benchmarks/simple_benchmark.py 2>&1 | tee simple_output.txt
-          
-          # Extract PraisonAI time
-          PRAISON_TIME=$(grep -oP 'PraisonAI\s+\K[\d.]+' simple_output.txt | head -1 || echo "0")
-          echo "praison_time=$PRAISON_TIME" >> $GITHUB_OUTPUT
-
-      - name: Run Tools Benchmark
-        id: tools
-        run: |
-          cd src/praisonai-agents
-          python benchmarks/tools_benchmark.py 2>&1 | tee tools_output.txt
-          
-          # Extract PraisonAI time with tools
-          PRAISON_TOOLS_TIME=$(grep -oP 'PraisonAI\s+\K[\d.]+' tools_output.txt | head -1 || echo "0")
-          echo "praison_tools_time=$PRAISON_TOOLS_TIME" >> $GITHUB_OUTPUT
-
-      - name: Run Parameter Impact Benchmark
-        id: param_impact
-        run: |
-          cd src/praisonai-agents
-          python benchmarks/param_impact_benchmark.py --no-save --iterations ${{ inputs.iterations }} 2>&1 | tee param_impact_output.txt
-
-      - name: Check Lazy Imports
-        id: lazy_imports
-        run: |
-          cd src/praisonai-agents
-          python -c "
-          import sys
-          from praisonaiagents import Agent
-          agent = Agent(name='Test', output='silent')
-          
-          # Check litellm is NOT loaded
-          if 'litellm' in sys.modules:
-              print('FAIL: litellm loaded during silent agent creation')
-              exit(1)
-          else:
-              print('PASS: litellm not loaded (lazy import working)')
-          "
-
-      - name: Generate Benchmark Summary
-        if: always()
-        run: |
-          echo "## Performance Benchmark Results" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "| Metric | Value | Threshold | Status |" >> $GITHUB_STEP_SUMMARY
-          echo "|--------|-------|-----------|--------|" >> $GITHUB_STEP_SUMMARY
-          echo "| Import Time | ${{ steps.import_time.outputs.import_time }}ms | <200ms | ${{ steps.import_time.outputs.import_passed == 'true' && '✅' || '❌' }} |" >> $GITHUB_STEP_SUMMARY
-          echo "| Peak Memory | ${{ steps.memory.outputs.peak_memory }}MB | <30MB | ${{ steps.memory.outputs.memory_passed == 'true' && '✅' || '❌' }} |" >> $GITHUB_STEP_SUMMARY
-          echo "| Agent Instantiation | ${{ steps.simple.outputs.praison_time }}μs | - | ℹ️ |" >> $GITHUB_STEP_SUMMARY
-          echo "| Agent with Tools | ${{ steps.tools.outputs.praison_tools_time }}μs | - | ℹ️ |" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "### Lazy Import Check" >> $GITHUB_STEP_SUMMARY
-          echo "✅ litellm not loaded during silent agent creation" >> $GITHUB_STEP_SUMMARY
-
-      - name: Fail on Regression
-        if: inputs.fail_on_regression == 'true'
-        run: |
-          if [ "${{ steps.import_time.outputs.import_passed }}" == "false" ]; then
-            echo "::error::Import time regression detected"
-            exit 1
-          fi
-          if [ "${{ steps.memory.outputs.memory_passed }}" == "false" ]; then
-            echo "::error::Memory usage regression detected"
-            exit 1
-          fi
-          echo "All performance checks passed!"

.github/workflows/chain-claude-after-copilot.yml

@@ -1,58 +0,0 @@
-name: Chain Claude After Reviewers
-
-# Event-driven: triggers when Copilot finishes reviewing a PR
-on:
-  pull_request_review:
-    types: [submitted]
-
-  issue_comment:
-    types: [created]
-
-jobs:
-  # Trigger Claude after Copilot finishes on a PR — Claude is the FINAL reviewer
-  # Claude reads ALL previous reviews (Qodo, Coderabbit, Copilot) and fixes any valid issues
-  claude-final-review:
-    if: |
-      (github.event_name == 'pull_request_review' && contains(github.event.review.user.login, 'copilot')) ||
-      (github.event_name == 'issue_comment' && contains(github.event.comment.user.login, 'copilot'))
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-    steps:
-      - name: Post Claude final review + fix request
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ secrets.GH_TOKEN || secrets.GITHUB_TOKEN }}
-          script: |
-            github.rest.issues.createComment({
-              issue_number: context.issue.number,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body: '@claude You are the FINAL architecture reviewer. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
-            })
-
-  # Trigger Claude after Gemini finishes on an Issue or PR
-  claude-after-gemini:
-    if: |
-      github.event_name == 'issue_comment' &&
-      (
-        github.event.comment.user.login == 'gemini-code-assist[bot]' ||
-        contains(github.event.comment.body, 'Review completed by Gemini CLI') ||
-        contains(github.event.comment.body, 'The fix is ready for review. Please test')
-      )
-    runs-on: ubuntu-latest
-    permissions:
-      issues: write
-      pull-requests: write
-    steps:
-      - name: Post Claude analysis request (final reviewer)
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ secrets.GH_TOKEN || secrets.GITHUB_TOKEN }}
-          script: |
-            github.rest.issues.createComment({
-              issue_number: context.issue.number,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body: '@claude You are the Lead Engineer. Read ALL analysis and reviews above carefully (Gemini, CodeRabbit, Qodo, Copilot, etc).\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
-            })

.github/workflows/claude-issue-triage.yml

@@ -2,9 +2,8 @@ name: Claude Issue Triage
 description: "Automatically triage GitHub issues using Claude Code"
 
 on:
-  workflow_dispatch:
-#   issues:
-#     types: [opened]
+  issues:
+    types: [opened]
 
 jobs:
   triage-issue:
@@ -13,20 +12,12 @@ jobs:
     permissions:
       contents: read
       issues: write
-      id-token: write
     steps:
       - name: Checkout repository
         uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4
 
-      - name: Generate GitHub App Token
-        id: app-token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.CLAUDE_APP_ID }}
-          private-key: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
-
       - name: Run Claude Issue Triage
         uses: ./.github/actions/claude-issue-triage-action
         with:
-          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
-          github_token: ${{ steps.app-token.outputs.token }} 
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          github_token: ${{ secrets.GITHUB_TOKEN }} 

.github/workflows/claude.yml

@@ -6,85 +6,35 @@ on:
   pull_request_review_comment:
     types: [created]
   issues:
-    types: [assigned, labeled, opened]
+    types: [opened, assigned, labeled]
   pull_request_review:
     types: [submitted]
 
 jobs:
   claude-response:
-    # Allow: human users, github-actions[bot] (auto-comments/labels)
-    # Block: dependabot, cursor, renovate, other bots
+    # Prevent certain bots from triggering this action (but allow github-actions[bot] for auto-comments)
     if: |
-      (github.event.action != 'labeled' || github.event.label.name == 'claude') &&
-      (github.event_name != 'issue_comment' || contains(github.event.comment.body, '@claude')) &&
-      (
-        !contains(github.actor, '[bot]') ||
-        github.actor == 'github-actions[bot]' ||
-        github.actor == 'praisonai-triage-agent[bot]'
-      ) &&
       github.actor != 'dependabot[bot]' &&
       github.actor != 'cursor[bot]' &&
-      github.actor != 'renovate[bot]'
+      github.actor != 'renovate[bot]' &&
+      !(contains(github.actor, '[bot]') && github.actor != 'github-actions[bot]')
     runs-on: ubuntu-latest
     permissions:
       contents: write
       pull-requests: write
       issues: write
       actions: read
-      id-token: write
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
         with:
           fetch-depth: 0
           
-      - name: Generate GitHub App Token
-        id: app-token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.CLAUDE_APP_ID }}
-          private-key: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
-
       - uses: anthropics/claude-code-action@beta
         with:
-          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
-          github_token: ${{ steps.app-token.outputs.token }}
+          claude_code_oauth_token: ${{ secrets.CLAUDE_ACCESS_TOKEN }}
+          github_token: ${{ secrets.GITHUB_TOKEN }}
           trigger_phrase: "@claude"
-          label_trigger: "claude"
-          allowed_non_write_users: "*"
-
-          direct_prompt: |
-            You are working on the PraisonAI SDK. Follow AGENTS.md strictly.
-
-            STEP 0 — SETUP GIT IDENTITY:
-            git config user.name "MervinPraison"
-            git config user.email "[email protected]"
-
-            STEP 1 — READ GUIDELINES:
-            Read AGENTS.md to understand the architecture rules.
-
-            STEP 2 — ARCHITECTURE VALIDATION (MANDATORY before writing code):
-            Before implementing anything, answer these questions:
-            - Does this add heavy implementations to the core SDK (praisonaiagents)? If YES → move it to the wrapper (praisonai) or make it a plugin.
-            - Does it duplicate existing functionality? Check if Agent already supports this via existing params (reflection, planning, tools, hooks, memory).
-            - Does it inherit from Agent properly? New agent types MUST inherit Agent, not wrap it with composition.
-            - Does it add new dependencies? Only optional deps allowed, must be lazy-imported.
-            - Will agent.py grow larger? If the change adds >50 lines to agent.py, find a way to extract instead.
-            - Is there a name collision with existing exports in __init__.py?
-            If ANY of these checks fail, add a comment to the issue explaining why and close it. Do NOT create a PR.
-
-            STEP 3 — IMPLEMENT:
-            - Create a fix branch and implement a minimal, focused fix
-            - Follow protocol-driven design: protocols in core SDK, heavy implementations in wrapper
-            - Keep changes small and backward-compatible
-
-            STEP 4 — TEST:
-            - Run: cd src/praisonai-agents && PYTHONPATH=. python -m pytest tests/ -x -q --timeout=30
-            - Ensure no regressions
-
-            STEP 5 — CREATE PR:
-            - Commit with descriptive message, push, and create PR using `gh pr create`
-            CRITICAL: You MUST create the PR automatically using `gh pr create`. Do NOT just provide a link.
           allowed_tools: |
             Bash(git:*)
             Bash(python:*)
@@ -105,3 +55,106 @@ jobs:
             mcp__github__get_issue_comments
             mcp__github__update_issue
           timeout_minutes: 30
+
+  post-review-comment:
+    needs: claude-response
+    if: success() && needs.claude-response.result == 'success'
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      pull-requests: write
+      issues: write
+    steps:
+      - name: Check for existing review comment
+        id: check-comment
+        uses: actions/github-script@v7
+        with:
+          github-token: ${{ secrets.GH_TOKEN }}
+          script: |
+            const reviewText = '@claude review if the changes made in the above branch are as per the requirements and make changes to the above branch if issues still exist.';
+            let comments = [];
+            let issueNumber;
+            
+            try {
+              // Determine issue/PR number based on event type
+              if (context.eventName === 'pull_request_review_comment' || context.eventName === 'pull_request_review') {
+                issueNumber = context.payload.pull_request?.number || context.issue.number;
+              } else if (context.eventName === 'issue_comment' && context.payload.issue.pull_request) {
+                // This is a comment on a PR (not an issue)
+                issueNumber = context.payload.issue.number;
+              } else {
+                // This is a regular issue
+                issueNumber = context.issue.number;
+              }
+              
+              comments = await github.rest.issues.listComments({
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                issue_number: issueNumber
+              });
+              
+              // Look for Claude's completed review comments
+              const claudeReviewComments = comments.data.filter(comment => 
+                (comment.user.login === 'claude[bot]' || comment.body.includes('✅') || comment.body.includes('## Summary')) &&
+                !comment.body.includes('⏳') && 
+                !comment.body.includes('🔄') &&
+                !comment.body.includes('Loading...')
+              );
+              
+              // Check if our review request comment already exists
+              const existingReviewRequest = comments.data.find(comment => 
+                comment.body.includes(reviewText)
+              );
+              
+              // Post if Claude has completed a review AND we haven't posted the review request yet
+              const shouldPost = claudeReviewComments.length > 0 && !existingReviewRequest;
+              core.setOutput('should-post', shouldPost);
+              console.log(`Claude review completed: ${claudeReviewComments.length > 0}`);
+              console.log(`Review request exists: ${!!existingReviewRequest}`);
+              console.log(`Should post comment: ${shouldPost}`);
+              
+            } catch (error) {
+              console.log('Error checking comments:', error);
+              core.setOutput('should-post', false); // If we can't check, don't post
+            }
+
+      - name: Wait 30 seconds before posting comment
+        if: steps.check-comment.outputs.should-post == 'true'
+        run: sleep 30
+
+      - name: Post review comment
+        if: steps.check-comment.outputs.should-post == 'true'
+        uses: actions/github-script@v7
+        with:
+          github-token: ${{ secrets.GH_TOKEN }}
+          script: |
+            let issueNumber;
+            let isPR = false;
+            
+            // Determine issue/PR number and type based on event type
+            if (context.eventName === 'pull_request_review_comment' || context.eventName === 'pull_request_review') {
+              issueNumber = context.payload.pull_request?.number || context.issue.number;
+              isPR = true;
+            } else if (context.eventName === 'issue_comment' && context.payload.issue.pull_request) {
+              // This is a comment on a PR (not an issue)
+              issueNumber = context.payload.issue.number;
+              isPR = true;
+            } else {
+              // This is a regular issue - don't post review comment
+              issueNumber = context.issue.number;
+              isPR = false;
+            }
+            
+            // Only post review comment on PRs, not regular issues
+            if (isPR) {
+              console.log(`Posting review comment on PR #${issueNumber}`);
+              
+              await github.rest.issues.createComment({
+                issue_number: issueNumber,
+                owner: context.repo.owner,
+                repo: context.repo.repo,
+                body: '@claude review if the changes made in the above branch are as per the requirements and make changes to the above branch if issues still exist. MAINLY IT SHOULD NOT IMPACT ON THE CURRENT SPEED OF EXECUTION of existing features, not increasing the overhead.'
+              });
+            } else {
+              console.log(`Skipping review comment for regular issue #${issueNumber}`);
+            }

.github/workflows/coverage.yml

@@ -0,0 +1,62 @@
+name: Run tests and upload coverage
+
+on: 
+  push:
+    branches: [ main, develop ]
+  pull_request:
+    branches: [ main, develop ]
+
+jobs:
+  test:
+    name: Run tests and collect coverage
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+    
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 2
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: 3.11
+
+      - name: Install UV
+        run: |
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+      - name: Install dependencies
+        run: |
+          cd src/praisonai
+          uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
+          uv pip install --system duckduckgo_search
+          uv pip install --system pytest pytest-cov pytest-asyncio
+          # Install knowledge dependencies from praisonai-agents
+          uv pip install --system "praisonaiagents[knowledge]"
+
+      - name: Set environment variables
+        run: |
+          echo "OPENAI_API_KEY=${{ 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-5-nano' }}" >> $GITHUB_ENV
+          echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
+          echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
+
+      - name: Run tests
+        run: |
+          cd src/praisonai
+          # Run tests - allow some failures for now while we fix remaining issues
+          pytest --cov=praisonai --cov-branch --cov-report=xml tests/unit/ --tb=no -q || echo "Some tests failed, but coverage was collected"
+
+      - name: Upload results to Codecov
+        uses: codecov/codecov-action@v5
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}
+          file: src/praisonai/coverage.xml
+          flags: unit-tests
+          name: unit-tests-coverage
+          fail_ci_if_error: false
+          verbose: true 

.github/workflows/gemini-issue-automated-triage.yml

@@ -1,10 +1,8 @@
 name: Gemini Automated Issue Triage
 
-# on:
-#   issue_comment:
-#     types: [created]
 on:
-  workflow_dispatch:
+  issue_comment:
+    types: [created]
 
 jobs:
   triage-issue:

.github/workflows/gemini-issue-review.yml

@@ -2,8 +2,8 @@ name: Gemini Issue Review
 
 on:
   workflow_dispatch:
-#   issue_comment:
-#     types: [created]
+  issue_comment:
+    types: [created]
 
 permissions:
   contents: write
@@ -20,8 +20,7 @@ jobs:
        !contains(github.event.comment.body, '@gemini triage') &&
        (github.event.comment.author_association == 'OWNER' ||
         github.event.comment.author_association == 'MEMBER' ||
-        github.event.comment.author_association == 'COLLABORATOR' ||
-        github.event.comment.author_association == 'CONTRIBUTOR'))
+        github.event.comment.author_association == 'COLLABORATOR'))
     runs-on: ubuntu-latest
     env:
       GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
@@ -40,8 +39,8 @@ jobs:
 
       - name: Set up Git
         run: |
-          git config --local user.email "[email protected].github.com"
-          git config --local user.name "MervinPraison"
+          git config --local user.email "gemini-bot@github.com"
+          git config --local user.name "Gemini Bot"
 
       - name: Get issue data
         id: issue_data
@@ -76,16 +75,16 @@ jobs:
           echo "ADDITIONAL_INSTRUCTIONS=$ADDITIONAL_INSTRUCTIONS" >> $GITHUB_OUTPUT
 
       - name: Run Gemini CLI
-        uses: google-github-actions/run-gemini-cli@v0
+        uses: ./.github/actions/gemini
         env:
-          GH_TOKEN: ${{ steps.generate_token.outputs.token }}
           GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
           ISSUE_NUMBER: ${{ steps.issue_data.outputs.ISSUE_NUMBER }}
           ADDITIONAL_INSTRUCTIONS: ${{ steps.issue_data.outputs.ADDITIONAL_INSTRUCTIONS }}
           REPOSITORY: ${{ github.repository }}
         with:
-          gemini_api_key: ${{ secrets.GEMINI_API_KEY }}
-          gemini_model: 'gemini-2.5-flash'
+          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
+          OTLP_GCP_WIF_PROVIDER: ${{ secrets.OTLP_GCP_WIF_PROVIDER }}
+          OTLP_GOOGLE_CLOUD_PROJECT: ${{ secrets.OTLP_GOOGLE_CLOUD_PROJECT }}
           prompt: |
             You are a helpful GitHub issue assistant. Your task is to analyze and help with GitHub issues.
             
@@ -104,8 +103,6 @@ jobs:
             - Search codebase for related files using `glob`, `search_file_content`, `list_directory`
             
             **STEP 2: If Code Changes Are Needed**
-            MANDATORY FIRST STEP: Before writing any code, you MUST use `read_file` to carefully read "src/praisonai-agents/AGENTS.md". You must honor this repository's extremely specific Architecture, Protocol-First design rules, and Agent-Centric Philosophy!
-            
             Create a new branch with 'gemini/' prefix:
             - Use: `git checkout -b gemini/issue-${ISSUE_NUMBER}-description`
             - Example: `git checkout -b gemini/issue-123-fix-sequential-tools`
@@ -164,7 +161,7 @@ jobs:
             
             Please proceed with helping resolve this issue following this exact workflow.
 
-          settings: |
+          settings_json: |
             {
               "coreTools": [
                 "run_shell_command(echo)",
@@ -196,5 +193,10 @@ jobs:
                 "web_fetch",
                 "google_web_search",
                 "save_memory"
-              ]
+              ],
+              "telemetry": {
+                "enabled": false,
+                "otlpGcpWifProvider": "${{ secrets.OTLP_GCP_WIF_PROVIDER }}",
+                "googleCloudProject": "${{ secrets.OTLP_GOOGLE_CLOUD_PROJECT }}"
+              }
             }

.github/workflows/gemini-pr-review.yml

@@ -1,8 +1,8 @@
 name: Gemini PR Review
 
 on:
-#   issue_comment:
-#     types: [created]
+  issue_comment:
+    types: [created]
   workflow_dispatch:
     inputs:
       pr_number:
@@ -159,8 +159,6 @@ jobs:
             - Analyze the code changes thoroughly
 
             **STEP 2: If Code Improvements Are Needed**
-            MANDATORY FIRST STEP: Before writing any code, you MUST use `read_file` to carefully read "src/praisonai-agents/AGENTS.md". You must honor this repository's extremely specific Architecture, Protocol-First design rules, and Agent-Centric Philosophy!
-            
             **IMPORTANT:** DO NOT create a new branch! Work on the EXISTING PR branch.
             - Use: `git fetch origin` to get latest changes
             - Get PR branch name: `gh pr view ${PR_NUMBER} --json headRefName`

.github/workflows/python-package.yml

@@ -1,21 +1,25 @@
-name: Python Package (Multi-Version)
+# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
+# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
+
+name: Python package
 
 on:
-  schedule:
-    - cron: '0 4 * * 1'  # Weekly Monday 4am UTC
-  workflow_dispatch:
+  push:
+    branches: [ "develop" ]
+  pull_request:
+    branches: [ "develop" ]
 
 jobs:
   build:
+
     runs-on: ubuntu-latest
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11"]
 
     steps:
     - uses: actions/checkout@v4
-
     - name: Set up Python ${{ matrix.python-version }}
       uses: actions/setup-python@v5
       with:
@@ -26,16 +30,39 @@ jobs:
         echo "OPENAI_API_KEY=${{ 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-5-nano' }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $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 pytest pytest-asyncio pytest-cov
+        python -m pip install duckduckgo_search
+        python -m pip install pytest-asyncio pytest-cov
+        # Install knowledge dependencies from praisonai-agents
         python -m pip install "praisonaiagents[knowledge]"
-
-    - name: Run tests
+        if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+        
+    - name: Debug API Key Status
       run: |
-        cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --timeout=60 || echo "Some tests failed"
+        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: |
+        cd src/praisonai && python tests/test_runner.py --pattern fast

.github/workflows/release.yml

@@ -51,8 +51,8 @@ jobs:
     # Sync with upstream commit
     - name: Sync with upstream
       run: |
-        git config --global user.name "MervinPraison"
-        git config --global user.email "[email protected].github.com"
+        git config --global user.name "GitHub Actions"
+        git config --global user.email "actions@github.com"
         
         # Add upstream remote
         git remote add upstream https://github.com/MervinPraison/PraisonAI.git
@@ -473,8 +473,8 @@ jobs:
     # Create tag at the same commit
     - name: Create tag at commit
       run: |
-        git config --global user.name "MervinPraison"
-        git config --global user.email "[email protected].github.com"
+        git config --global user.name "GitHub Actions"
+        git config --global user.email "actions@github.com"
         
         # Remove tag if it exists locally
         git tag -d ${{ github.event.inputs.tag }} || true

.github/workflows/test-comprehensive.yml

@@ -54,7 +54,7 @@ jobs:
         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 pytest-timeout
+        uv pip install --system pytest pytest-asyncio pytest-cov pytest-benchmark
         # Install knowledge dependencies from praisonai-agents
         uv pip install --system "praisonaiagents[knowledge]"
 
@@ -75,28 +75,28 @@ jobs:
         
         case $TEST_TYPE in
           "unit")
-            cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=xml --cov-branch || echo "Some unit tests failed"
+            cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=xml --cov-branch
             ;;
           "integration")
-            cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=xml --cov-branch || echo "Some integration tests failed"
+            cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=xml --cov-branch
             ;;
           "fast")
-            cd src/praisonai && python tests/test_runner.py --pattern fast || echo "Some fast tests failed"
+            cd src/praisonai && python tests/test_runner.py --pattern fast
             ;;
           "performance")
-            cd src/praisonai && python tests/test_runner.py --pattern "performance" || echo "Some performance tests failed"
+            cd src/praisonai && python tests/test_runner.py --pattern "performance"
             ;;
           "frameworks")
-            cd src/praisonai && python tests/test_runner.py --pattern frameworks || echo "Some framework tests failed"
+            cd src/praisonai && python tests/test_runner.py --pattern frameworks
             ;;
           "autogen")
-            cd src/praisonai && python tests/test_runner.py --pattern autogen || echo "Some autogen tests failed"
+            cd src/praisonai && python tests/test_runner.py --pattern autogen
             ;;
           "crewai")
-            cd src/praisonai && python tests/test_runner.py --pattern crewai || echo "Some crewai tests failed"
+            cd src/praisonai && python tests/test_runner.py --pattern crewai
             ;;
           "all"|*)
-            cd src/praisonai && python tests/test_runner.py --pattern all || echo "Some tests failed"
+            cd src/praisonai && python tests/test_runner.py --pattern all
             ;;
         esac
 

.github/workflows/test-core.yml

@@ -1,44 +1,41 @@
 name: Core Tests
 
-on:
+on: 
   push:
     branches: [ main, develop ]
-    paths:
-      - 'src/**'
-      - 'pyproject.toml'
-      - '.github/workflows/test-core.yml'
   pull_request:
     branches: [ main, develop ]
-    paths:
-      - 'src/**'
-      - 'pyproject.toml'
-      - '.github/workflows/test-core.yml'
-  workflow_dispatch:
 
 jobs:
   test-core:
     runs-on: ubuntu-latest
-    timeout-minutes: 20
-
+    timeout-minutes: 15
+    strategy:
+      matrix:
+        python-version: [3.11]
+    
     steps:
-    - uses: actions/checkout@v4
+    - name: Checkout code
+      uses: actions/checkout@v4
 
-    - name: Set up Python 3.11
+    - name: Set up Python ${{ matrix.python-version }}
       uses: actions/setup-python@v5
       with:
-        python-version: '3.11'
+        python-version: ${{ matrix.python-version }}
 
     - name: Install UV
       run: |
         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-timeout
+        # Install knowledge dependencies from praisonai-agents
         uv pip install --system "praisonaiagents[knowledge]"
 
     - name: Set environment variables
@@ -46,28 +43,246 @@ 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-5-nano' }}" >> $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-5-nano' }}"
+        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-5-nano' }}
+        LOGLEVEL: DEBUG
+      run: |
+        echo "🔍 Testing PraisonAI API key usage directly..."
+        cd src/praisonai
+        python -c "
+        import os
+        import sys
+        sys.path.insert(0, '.')
+        
+        # Attempt to import SecretStr, otherwise use a dummy class
+        try:
+            from pydantic.types import SecretStr
+        except ImportError:
+            class SecretStr:  # Dummy class if pydantic is not available in this minimal context
+                def __init__(self, value): self._value = value
+                def get_secret_value(self): return self._value
+
+        def get_key_display_value(key_value):
+            if isinstance(key_value, SecretStr):
+                return key_value.get_secret_value()[:10] if key_value.get_secret_value() else 'EMPTY_SECRET'
+            elif isinstance(key_value, str):
+                return key_value[:10] if key_value != 'nokey' and key_value != 'NOT_SET' else key_value
+            return 'INVALID_TYPE'
+
+        print('🔧 Direct PraisonAI API Key Check:')
+        env_api_key = os.environ.get(\"OPENAI_API_KEY\", \"NOT_SET\")
+        print(f'Environment OPENAI_API_KEY: {get_key_display_value(env_api_key)}...')
+        
+        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: {get_key_display_value(api_key_from_config)}...')
+        
+        from praisonai.inc.models import PraisonAIModel
+        
+        print('\\n🧪 Testing PraisonAIModel with explicit API key (CrewAI method):')
+        model_with_explicit_key = PraisonAIModel(
+            model='openai/gpt-5-nano',
+            base_url=praisonai.config_list[0].get('base_url'),
+            api_key=api_key_from_config # This will be a string from praisonai.config_list
+        )
+        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}')
+        # model_with_explicit_key.api_key is now a string, or 'nokey'
+        print(f'  API key (explicitly passed to PraisonAIModel): {get_key_display_value(model_with_explicit_key.api_key)}...')
+        print(f'  Base URL: {model_with_explicit_key.base_url}')
+        
+        try:
+            llm_instance = model_with_explicit_key.get_model()
+            print(f'  ✅ LLM instance created successfully: {type(llm_instance).__name__}')
+            
+            # langchain_openai.ChatOpenAI stores the key in openai_api_key as SecretStr
+            llm_api_key_attr = getattr(llm_instance, 'openai_api_key', 'NOT_FOUND')
+            if llm_api_key_attr != 'NOT_FOUND':
+                 print(f'  LLM instance API key: {get_key_display_value(llm_api_key_attr)}...')
+            else:
+                print(f'  LLM instance API key attribute not found.')
+        except Exception as e:
+            print(f'  ❌ Failed to create LLM instance: {e}')
+            import traceback
+            traceback.print_exc()
+        "
+      continue-on-error: true
 
     - name: Run Unit Tests
       run: |
-        cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings \
-          --cov=praisonai --cov-report=xml --cov-branch \
-          --timeout=60 || echo "Some unit tests failed"
+        cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=term-missing --cov-report=xml --cov-branch || echo "Some tests failed - see output above"
       continue-on-error: true
 
-    - name: Run Integration Tests
+    - name: Run Integration Tests  
       run: |
-        cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings \
-          --timeout=60 \
-          --ignore=tests/integration/test_tracker_complex_tasks.py \
-          --ignore=tests/integration/test_serve_integration.py \
-          || echo "Some integration tests failed"
+        cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings
 
-    - name: Upload coverage to Codecov
-      if: always()
+    - 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..."
+        cd src/praisonai && python tests/test_runner.py --pattern autogen --verbose
+
+    - name: Test CrewAI Framework
+      run: |
+        echo "⛵ Testing CrewAI Framework Integration..."
+        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 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-5-nano' }}
+        LOGLEVEL: DEBUG
+      run: |
+        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')"
+        export OPENAI_API_KEY="$OPENAI_API_KEY"
+        export OPENAI_API_BASE="$OPENAI_API_BASE"
+        export OPENAI_MODEL_NAME="$OPENAI_MODEL_NAME"
+        cd src/praisonai && python -m pytest tests/test.py -v --tb=short --disable-warnings -m "not real" --timeout=60
+
+    - name: Upload coverage reports to Codecov
+      if: matrix.python-version == '3.11'
       uses: codecov/codecov-action@v5
       with:
-        token: ${{ secrets.CODECOV_TOKEN || '' }}
-        files: src/praisonai/coverage.xml
+        token: ${{ secrets.CODECOV_TOKEN }}
+        file: src/praisonai/coverage.xml
         flags: core-tests
-        fail_ci_if_error: false
+        name: core-tests-coverage
+        fail_ci_if_error: false
+        verbose: true
+
+    - name: Upload Coverage Reports (Artifacts)
+      if: matrix.python-version == '3.11'
+      uses: actions/upload-artifact@v4
+      with:
+        name: coverage-reports
+        path: |
+          src/praisonai/.coverage
+          src/praisonai/htmlcov/
+          src/praisonai/coverage.xml
+        retention-days: 7

.github/workflows/test-extended.yml

@@ -1,9 +1,14 @@
 name: Extended Tests
 
 on:
+  push:
+    branches: [ main ]
+  pull_request:
+    branches: [ main ]
   schedule:
+    # Run nightly at 2 AM UTC
     - cron: '0 2 * * *'
-  workflow_dispatch:
+  workflow_dispatch:  # Allow manual triggering
 
 jobs:
   test-examples:

.github/workflows/test-frameworks.yml

@@ -50,7 +50,7 @@ jobs:
         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-timeout
+        uv pip install --system pytest pytest-asyncio pytest-cov
 
     - name: Set environment variables
       run: |

.github/workflows/test-optimized.yml

@@ -1,546 +0,0 @@
-name: Optimized Test Suite
-
-on: 
-  push:
-    branches: [ main, develop ]
-    paths:
-      - 'src/**'
-      - 'pyproject.toml'
-      - '.github/workflows/test-optimized.yml'
-  pull_request:
-    branches: [ main, develop ]
-    paths:
-      - 'src/**'
-      - 'pyproject.toml'
-      - '.github/workflows/test-optimized.yml'
-  schedule:
-    # Nightly extended tests at 3 AM UTC
-    - cron: '0 3 * * *'
-  workflow_dispatch:
-    inputs:
-      tier:
-        description: 'Test tier to run'
-        required: true
-        default: 'main'
-        type: choice
-        options:
-          - smoke
-          - main
-          - extended
-          - nightly
-
-env:
-  PYTHONPATH: ${{ github.workspace }}/src/praisonai-agents
-  # Test gating environment variables
-  PRAISONAI_ALLOW_NETWORK: '0'
-  PRAISONAI_LIVE_TESTS: '0'
-
-jobs:
-  # ============================================
-  # SMOKE TESTS - Fast unit tests, no network
-  # Target: <= 2 minutes
-  # ============================================
-  smoke:
-    runs-on: ubuntu-latest
-    timeout-minutes: 5
-    steps:
-    - uses: actions/checkout@v4
-    
-    - name: Set up Python 3.11
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Cache pip packages
-      uses: actions/cache@v4
-      with:
-        path: ~/.cache/pip
-        key: ${{ runner.os }}-pip-smoke-${{ hashFiles('**/pyproject.toml') }}
-        restore-keys: |
-          ${{ runner.os }}-pip-smoke-
-          ${{ runner.os }}-pip-
-    
-    - name: Install minimal dependencies
-      run: |
-        pip install --upgrade pip
-        # Install praisonai-agents with all deps (required for tests)
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e ".[chat,code]"
-        pip install pytest pytest-asyncio pytest-timeout prompt_toolkit
-    
-    - name: Run Smoke Tests
-      env:
-        PRAISONAI_TEST_TIER: smoke
-        PRAISONAI_ALLOW_NETWORK: '0'
-      run: |
-        cd src/praisonai
-        # Run only CLI tests for smoke - fast and critical path
-        python -m pytest tests/unit/cli/ \
-          -m "not slow and not network" \
-          -q --tb=line \
-          --timeout=30 \
-          --ignore=tests/fixtures \
-          --ignore=tests/unit/cli/test_message_queue.py \
-          --maxfail=5 \
-          || echo "Some smoke tests failed"
-    
-    - name: Smoke Test Summary
-      if: always()
-      run: echo "✅ Smoke tests completed"
-
-  # ============================================
-  # MAIN TESTS - Unit + safe integration
-  # Target: <= 5 minutes
-  # ============================================
-  main:
-    needs: smoke
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    strategy:
-      matrix:
-        python-version: ['3.11']
-    
-    steps:
-    - uses: actions/checkout@v4
-    
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ matrix.python-version }}
-    
-    - name: Cache pip packages
-      uses: actions/cache@v4
-      with:
-        path: ~/.cache/pip
-        key: ${{ runner.os }}-pip-main-${{ hashFiles('**/pyproject.toml') }}
-        restore-keys: |
-          ${{ runner.os }}-pip-main-
-          ${{ runner.os }}-pip-
-    
-    - name: Install dependencies
-      run: |
-        pip install --upgrade pip
-        # Install praisonai-agents with all deps (required for tests)
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e ".[crewai,autogen]"
-        pip install pytest pytest-asyncio pytest-timeout pytest-cov pytest-xdist
-    
-    - name: Run Main Tests
-      env:
-        PRAISONAI_TEST_TIER: main
-        PRAISONAI_ALLOW_NETWORK: '0'
-        OPENAI_API_KEY: 'test-key'
-        ANTHROPIC_API_KEY: 'test-key'
-        GOOGLE_API_KEY: 'test-key'
-      run: |
-        cd src/praisonai
-        python -m pytest tests/unit/ tests/integration/ \
-          -m "not provider_anthropic and not provider_google and not provider_ollama and not provider_grok_xai and not provider_groq and not provider_cohere" \
-          -q --tb=line \
-          --timeout=60 \
-          --ignore=tests/fixtures \
-          --ignore=tests/e2e \
-          --ignore=tests/live \
-          --ignore=tests/unit/jobs \
-          --ignore=tests/unit/api \
-          --cov=praisonai \
-          --cov-report=xml \
-          -n 4 \
-          --maxfail=10 \
-          || echo "Some tests failed"
-    
-    - name: Upload coverage
-      if: matrix.python-version == '3.11'
-      uses: codecov/codecov-action@v5
-      with:
-        token: ${{ secrets.CODECOV_TOKEN || '' }}
-        files: src/praisonai/coverage.xml
-        flags: main-tests
-        fail_ci_if_error: false
-
-  # ============================================
-  # OPENAI LIVE TESTS - Real OpenAI API calls
-  # Only runs if OPENAI_API_KEY secret is set
-  # Safe for forks (skips gracefully if no key)
-  # ============================================
-  openai-live:
-    needs: smoke
-    runs-on: ubuntu-latest
-    timeout-minutes: 8
-    # This job always runs but steps are conditional on secret availability
-    
-    steps:
-    - name: Check if OpenAI key is available
-      id: check-key
-      run: |
-        if [ -n "${{ secrets.OPENAI_API_KEY }}" ]; then
-          echo "has_key=true" >> $GITHUB_OUTPUT
-        else
-          echo "has_key=false" >> $GITHUB_OUTPUT
-          echo "⚠️ OPENAI_API_KEY not set - skipping live tests"
-        fi
-    
-    - uses: actions/checkout@v4
-      if: steps.check-key.outputs.has_key == 'true'
-    
-    - name: Set up Python 3.11
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Cache pip packages
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/cache@v4
-      with:
-        path: ~/.cache/pip
-        key: ${{ runner.os }}-pip-openai-${{ hashFiles('**/pyproject.toml') }}
-        restore-keys: |
-          ${{ runner.os }}-pip-
-    
-    - name: Install dependencies
-      if: steps.check-key.outputs.has_key == 'true'
-      run: |
-        pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e ".[openai]"
-        pip install pytest pytest-asyncio pytest-timeout
-    
-    - name: Run OpenAI Live Tests
-      if: steps.check-key.outputs.has_key == 'true'
-      env:
-        PRAISONAI_TEST_TIER: extended
-        PRAISONAI_ALLOW_NETWORK: '1'
-        PRAISONAI_LIVE_TESTS: '1'
-        PRAISONAI_TEST_PROVIDERS: 'openai'
-        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-        OPENAI_MODEL_NAME: ${{ secrets.OPENAI_MODEL_NAME || 'gpt-4o-mini' }}
-      run: |
-        cd src/praisonai
-        python -m pytest tests/ \
-          -m "provider_openai or real" \
-          -v --tb=short \
-          --timeout=120 \
-          --ignore=tests/fixtures \
-          || echo "Some OpenAI tests failed"
-    
-    - name: Skip notice
-      if: steps.check-key.outputs.has_key == 'false'
-      run: echo "✅ OpenAI live tests skipped (no API key available - this is expected for forks)"
-
-  # ============================================
-  # EXTENDED PROVIDER TESTS - Nightly only
-  # Runs all provider-specific tests
-  # ============================================
-  extended-anthropic:
-    if: github.event_name == 'schedule' || github.event.inputs.tier == 'extended' || github.event.inputs.tier == 'nightly'
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    
-    steps:
-    - name: Check if Anthropic key is available
-      id: check-key
-      run: |
-        if [ -n "${{ secrets.ANTHROPIC_API_KEY }}" ]; then
-          echo "has_key=true" >> $GITHUB_OUTPUT
-        else
-          echo "has_key=false" >> $GITHUB_OUTPUT
-          echo "⚠️ ANTHROPIC_API_KEY not set - skipping tests"
-        fi
-    
-    - uses: actions/checkout@v4
-      if: steps.check-key.outputs.has_key == 'true'
-    
-    - name: Set up Python 3.11
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Install dependencies
-      if: steps.check-key.outputs.has_key == 'true'
-      run: |
-        pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e ".[anthropic]"
-        pip install pytest pytest-asyncio pytest-timeout
-    
-    - name: Run Anthropic Tests
-      if: steps.check-key.outputs.has_key == 'true'
-      env:
-        PRAISONAI_ALLOW_NETWORK: '1'
-        PRAISONAI_LIVE_TESTS: '1'
-        PRAISONAI_TEST_PROVIDERS: 'anthropic'
-        ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
-      run: |
-        cd src/praisonai
-        python -m pytest tests/ \
-          -m "provider_anthropic" \
-          -v --tb=short \
-          --timeout=120 \
-          --ignore=tests/fixtures \
-          || echo "Anthropic tests completed"
-    
-    - name: Skip notice
-      if: steps.check-key.outputs.has_key == 'false'
-      run: echo "✅ Anthropic tests skipped (no API key available)"
-
-  extended-google:
-    if: github.event_name == 'schedule' || github.event.inputs.tier == 'extended' || github.event.inputs.tier == 'nightly'
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    
-    steps:
-    - name: Check if Google key is available
-      id: check-key
-      env:
-        GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
-      run: |
-        if [ -n "$GOOGLE_API_KEY" ]; then
-          echo "has_key=true" >> $GITHUB_OUTPUT
-        else
-          echo "has_key=false" >> $GITHUB_OUTPUT
-          echo "⚠️ GOOGLE_API_KEY not set - skipping tests"
-        fi
-    
-    - uses: actions/checkout@v4
-      if: steps.check-key.outputs.has_key == 'true'
-    
-    - name: Set up Python 3.11
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Install dependencies
-      if: steps.check-key.outputs.has_key == 'true'
-      run: |
-        pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e ".[google]"
-        pip install pytest pytest-asyncio pytest-timeout
-    
-    - name: Run Google/Gemini Tests
-      if: steps.check-key.outputs.has_key == 'true'
-      env:
-        PRAISONAI_ALLOW_NETWORK: '1'
-        PRAISONAI_LIVE_TESTS: '1'
-        PRAISONAI_TEST_PROVIDERS: 'google'
-        GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
-      run: |
-        cd src/praisonai
-        python -m pytest tests/ \
-          -m "provider_google" \
-          -v --tb=short \
-          --timeout=120 \
-          --ignore=tests/fixtures \
-          || echo "Google tests completed"
-    
-    - name: Skip notice
-      if: steps.check-key.outputs.has_key == 'false'
-      run: echo "✅ Google tests skipped (no API key available)"
-
-  extended-groq:
-    if: github.event_name == 'schedule' || github.event.inputs.tier == 'extended' || github.event.inputs.tier == 'nightly'
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    
-    steps:
-    - name: Check if Groq key is available
-      id: check-key
-      env:
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-      run: |
-        if [ -n "$GROQ_API_KEY" ]; then
-          echo "has_key=true" >> $GITHUB_OUTPUT
-        else
-          echo "has_key=false" >> $GITHUB_OUTPUT
-          echo "⚠️ GROQ_API_KEY not set - skipping tests"
-        fi
-    
-    - uses: actions/checkout@v4
-      if: steps.check-key.outputs.has_key == 'true'
-    
-    - name: Set up Python 3.11
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Install dependencies
-      if: steps.check-key.outputs.has_key == 'true'
-      run: |
-        pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e .
-        pip install pytest pytest-asyncio pytest-timeout
-    
-    - name: Run Groq Tests
-      if: steps.check-key.outputs.has_key == 'true'
-      env:
-        PRAISONAI_ALLOW_NETWORK: '1'
-        PRAISONAI_LIVE_TESTS: '1'
-        PRAISONAI_TEST_PROVIDERS: 'groq'
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-      run: |
-        cd src/praisonai
-        python -m pytest tests/ \
-          -m "provider_groq" \
-          -v --tb=short \
-          --timeout=120 \
-          --ignore=tests/fixtures \
-          || echo "Groq tests completed"
-    
-    - name: Skip notice
-      if: steps.check-key.outputs.has_key == 'false'
-      run: echo "✅ Groq tests skipped (no API key available)"
-
-  extended-xai:
-    if: github.event_name == 'schedule' || github.event.inputs.tier == 'extended' || github.event.inputs.tier == 'nightly'
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    
-    steps:
-    - name: Check if xAI key is available
-      id: check-key
-      env:
-        XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
-      run: |
-        if [ -n "$XAI_API_KEY" ]; then
-          echo "has_key=true" >> $GITHUB_OUTPUT
-        else
-          echo "has_key=false" >> $GITHUB_OUTPUT
-          echo "⚠️ XAI_API_KEY not set - skipping tests"
-        fi
-    
-    - uses: actions/checkout@v4
-      if: steps.check-key.outputs.has_key == 'true'
-    
-    - name: Set up Python 3.11
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Install dependencies
-      if: steps.check-key.outputs.has_key == 'true'
-      run: |
-        pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e .
-        pip install pytest pytest-asyncio pytest-timeout
-    
-    - name: Run xAI/Grok Tests
-      if: steps.check-key.outputs.has_key == 'true'
-      env:
-        PRAISONAI_ALLOW_NETWORK: '1'
-        PRAISONAI_LIVE_TESTS: '1'
-        PRAISONAI_TEST_PROVIDERS: 'grok_xai'
-        XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
-      run: |
-        cd src/praisonai
-        python -m pytest tests/ \
-          -m "provider_grok_xai" \
-          -v --tb=short \
-          --timeout=120 \
-          --ignore=tests/fixtures \
-          || echo "xAI tests completed"
-    
-    - name: Skip notice
-      if: steps.check-key.outputs.has_key == 'false'
-      run: echo "✅ xAI tests skipped (no API key available)"
-
-  extended-cohere:
-    if: github.event_name == 'schedule' || github.event.inputs.tier == 'extended' || github.event.inputs.tier == 'nightly'
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    
-    steps:
-    - name: Check if Cohere key is available
-      id: check-key
-      env:
-        COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
-      run: |
-        if [ -n "$COHERE_API_KEY" ]; then
-          echo "has_key=true" >> $GITHUB_OUTPUT
-        else
-          echo "has_key=false" >> $GITHUB_OUTPUT
-          echo "⚠️ COHERE_API_KEY not set - skipping tests"
-        fi
-    
-    - uses: actions/checkout@v4
-      if: steps.check-key.outputs.has_key == 'true'
-    
-    - name: Set up Python 3.11
-      if: steps.check-key.outputs.has_key == 'true'
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-    
-    - name: Install dependencies
-      if: steps.check-key.outputs.has_key == 'true'
-      run: |
-        pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e ".[all]"
-        cd ../praisonai
-        pip install -e ".[cohere]"
-        pip install pytest pytest-asyncio pytest-timeout
-    
-    - name: Run Cohere Tests
-      if: steps.check-key.outputs.has_key == 'true'
-      env:
-        PRAISONAI_ALLOW_NETWORK: '1'
-        PRAISONAI_LIVE_TESTS: '1'
-        PRAISONAI_TEST_PROVIDERS: 'cohere'
-        COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
-      run: |
-        cd src/praisonai
-        python -m pytest tests/ \
-          -m "provider_cohere" \
-          -v --tb=short \
-          --timeout=120 \
-          --ignore=tests/fixtures \
-          || echo "Cohere tests completed"
-    
-    - name: Skip notice
-      if: steps.check-key.outputs.has_key == 'false'
-      run: echo "✅ Cohere tests skipped (no API key available)"
-
-  # ============================================
-  # TEST SUMMARY
-  # ============================================
-  test-summary:
-    needs: [smoke, main]
-    if: always()
-    runs-on: ubuntu-latest
-    
-    steps:
-    - name: Test Summary
-      run: |
-        echo "# 📊 Test Suite Summary" >> $GITHUB_STEP_SUMMARY
-        echo "" >> $GITHUB_STEP_SUMMARY
-        echo "| Job | Status |" >> $GITHUB_STEP_SUMMARY
-        echo "|-----|--------|" >> $GITHUB_STEP_SUMMARY
-        echo "| Smoke | ${{ needs.smoke.result }} |" >> $GITHUB_STEP_SUMMARY
-        echo "| Main | ${{ needs.main.result }} |" >> $GITHUB_STEP_SUMMARY
-        echo "" >> $GITHUB_STEP_SUMMARY
-        echo "## Test Tiers" >> $GITHUB_STEP_SUMMARY
-        echo "- **smoke**: Fast unit tests, no network (≤2 min)" >> $GITHUB_STEP_SUMMARY
-        echo "- **main**: Unit + integration, no network (≤5 min)" >> $GITHUB_STEP_SUMMARY
-        echo "- **openai-live**: OpenAI API tests (when key available)" >> $GITHUB_STEP_SUMMARY
-        echo "- **extended-***: Provider-specific tests (nightly)" >> $GITHUB_STEP_SUMMARY

.github/workflows/test-windows.yml

@@ -1,205 +0,0 @@
-name: Windows Tests
-
-on:
-  push:
-    branches: [main, develop]
-    paths:
-      - 'src/**'
-      - 'pyproject.toml'
-      - '.github/workflows/test-windows.yml'
-  pull_request:
-    branches: [main, develop]
-    paths:
-      - 'src/**'
-      - 'pyproject.toml'
-      - '.github/workflows/test-windows.yml'
-  workflow_dispatch:
-
-jobs:
-  test-windows:
-    runs-on: windows-latest
-    timeout-minutes: 5
-    env:
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_MODEL_NAME: gpt-4o-mini
-      PYTHONUTF8: 1
-    
-    steps:
-    - uses: actions/checkout@v4
-    
-    - name: Set up Python 3.11
-      uses: actions/setup-python@v5
-      with:
-        python-version: "3.11"
-    
-    - name: Install praisonaiagents
-      run: |
-        python -m pip install --upgrade pip
-        cd src/praisonai-agents
-        pip install -e .
-      shell: bash
-    
-    - name: Install praisonai wrapper
-      run: |
-        cd src/praisonai
-        pip install -e .
-      shell: bash
-
-    # ==================== CORE IMPORTS ====================
-    - name: Test core imports
-      run: |
-        python -c "from praisonaiagents import Agent, Agents, Workflow; print('Core imports OK')"
-        python -c "from praisonaiagents import tool, Tools; print('Tool imports OK')"
-        python -c "from praisonaiagents import Task; print('Task imports OK')"
-
-    # ==================== AGENT FEATURES ====================
-    - name: Test Agent instantiation
-      run: |
-        python -c "
-        from praisonaiagents import Agent
-        a = Agent(name='Test', instructions='You are helpful')
-        print('Agent created:', a.name)
-        a2 = Agent(name='ToolAgent', instructions='Use tools', tools=[])
-        print('Agent with tools:', a2.name)
-        "
-
-    - name: Test Agents orchestration
-      run: |
-        python -c "
-        from praisonaiagents import Agent, Agents, Task
-        a1 = Agent(name='Agent1', instructions='First agent')
-        a2 = Agent(name='Agent2', instructions='Second agent')
-        t = Task(description='Do something', agent=a1)
-        agents = Agents(agents=[a1, a2], tasks=[t])
-        print('Agents:', len(agents.agents), 'Tasks:', len(agents.tasks))
-        "
-
-    # ==================== WORKFLOW FEATURES ====================
-    - name: Test Workflow
-      run: |
-        python -c "
-        from praisonaiagents import Workflow
-        
-        w = Workflow(name='test')
-        print('Workflow:', w.name)
-        "
-
-    # ==================== MEMORY FEATURES ====================
-    - name: Test Memory classes
-      run: |
-        python -c "
-        from praisonaiagents.memory import FileMemory
-        from praisonaiagents.config import MemoryConfig
-        
-        cfg = MemoryConfig(backend='file', user_id='test_user')
-        print('MemoryConfig backend:', cfg.backend)
-        
-        mem = FileMemory(user_id='test_user', base_path='.praison/test_memory')
-        print('FileMemory user:', mem.user_id)
-        "
-
-    # ==================== TOOL DECORATOR ====================
-    - name: Test tool decorator
-      run: |
-        python -c "
-        from praisonaiagents import tool
-        
-        @tool
-        def my_tool(query: str) -> str:
-            '''A test tool'''
-            return f'Echo: {query}'
-        
-        result = my_tool('hello')
-        print('Tool result:', result)
-        "
-
-    # ==================== CONFIG CLASSES ====================
-    - name: Test config classes
-      run: |
-        python -c "
-        from praisonaiagents.config import OutputConfig, ExecutionConfig, PlanningConfig
-        
-        out_cfg = OutputConfig(verbose=True, stream=True)
-        print('OutputConfig verbose:', out_cfg.verbose)
-        
-        exec_cfg = ExecutionConfig(max_iter=50, max_retry_limit=5)
-        print('ExecutionConfig max_iter:', exec_cfg.max_iter)
-        
-        plan_cfg = PlanningConfig(reasoning=True, auto_approve=False)
-        print('PlanningConfig reasoning:', plan_cfg.reasoning)
-        "
-    # ==================== HANDOFF ====================
-    - name: Test Handoff
-      run: |
-        python -c "
-        from praisonaiagents import Handoff, handoff, Agent
-        
-        a1 = Agent(name='Agent1', instructions='First')
-        a2 = Agent(name='Agent2', instructions='Second')
-        
-        # Using Handoff class directly
-        h = Handoff(agent=a2)
-        print('Handoff tool name:', h.tool_name)
-        
-        # Using handoff function
-        h2 = handoff(a1, tool_name_override='custom_handoff')
-        print('Custom handoff name:', h2.tool_name)
-        "
-
-
-    # ==================== ASYNC FEATURES ====================
-    - name: Test async imports
-      run: |
-        python -c "
-        import asyncio
-        from praisonaiagents import Agent
-        
-        async def test_async():
-            agent = Agent(name='AsyncAgent', instructions='Test')
-            assert hasattr(agent, 'arun'), 'Missing arun'
-            assert hasattr(agent, 'astart'), 'Missing astart'
-            print('Async methods available')
-        
-        asyncio.run(test_async())
-        "
-
-    # ==================== CLI COMMANDS ====================
-    - name: Test CLI help
-      run: praisonai --help
-
-    - name: Test CLI session list
-      run: praisonai session list
-      continue-on-error: true
-
-    - name: Test CLI queue list
-      run: praisonai queue list
-      continue-on-error: true
-
-    # ==================== REAL API TESTS ====================
-    - name: Real API test - Agent run
-      if: env.OPENAI_API_KEY != ''
-      run: |
-        python -c "
-        from praisonaiagents import Agent
-        agent = Agent(name='TestAgent', instructions='Reply with exactly: WINDOWS_OK', llm='gpt-4o-mini')
-        result = agent.run('Say WINDOWS_OK')
-        print('Result:', result)
-        print('Real API test passed')
-        "
-
-    - name: Real API test - Multi-agent
-      if: env.OPENAI_API_KEY != ''
-      run: |
-        python -c "
-        from praisonaiagents import Agent, Agents, Task
-        
-        researcher = Agent(name='Researcher', instructions='You research topics', llm='gpt-4o-mini')
-        writer = Agent(name='Writer', instructions='You write content', llm='gpt-4o-mini')
-        
-        task = Task(description='Say hello world', agent=researcher)
-        
-        agents = Agents(agents=[researcher, writer], tasks=[task])
-        result = agents.start()
-        print('Multi-agent result type:', type(result))
-        print('Multi-agent test passed')
-        "

.github/workflows/unittest.yml

@@ -0,0 +1,516 @@
+name: Quick Validation Tests
+
+on: [push, pull_request]
+
+jobs:
+  quick-test:
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: 3.11
+
+    - name: Install UV
+      run: |
+        curl -LsSf https://astral.sh/uv/install.sh | sh
+        echo "$HOME/.local/bin" >> $GITHUB_PATH
+
+
+    - name: Install dependencies
+      run: |
+        cd src/praisonai
+        uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
+        uv pip install --system duckduckgo_search
+        uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
+        # Install knowledge dependencies from praisonai-agents
+        uv pip install --system "praisonaiagents[knowledge]"
+
+    - name: Set environment variables
+      run: |
+        echo "OPENAI_API_KEY=${{ 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-5-nano' }}" >> $GITHUB_ENV
+        echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
+        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
+
+    - name: Backup Root Config Files
+      run: |
+        echo "🔄 Backing up root configuration files to prevent default file resolution interference..."
+        echo "ℹ️  PraisonAI automatically uses 'agents.yaml' in working directory when no file specified"
+        echo "ℹ️  This can interfere with test files that specify their own YAML files"
+        if [ -f "agents.yaml" ]; then
+          mv agents.yaml agents.yaml.backup
+          echo "✅ Moved root agents.yaml to agents.yaml.backup"
+          echo "   - This prevents default file fallback during tests"
+        fi
+        if [ -f "tools.py" ]; then
+          mv tools.py tools.py.backup  
+          echo "✅ Moved tools.py to tools.py.backup"
+        fi
+
+    - name: Debug API Key Status
+      run: |
+        echo "🔍 Checking API key availability..."
+        if [ -n "${{ 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"
+        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"
+
+    - 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: 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('src/praisonai/tests/*.yaml')
+        
+        for yaml_file in yaml_files:
+            try:
+                with open(yaml_file, 'r') as f:
+                    config = yaml.safe_load(f)
+                
+                # Check if any role contains 'researcher'
+                roles = config.get('roles', {})
+                for role_key, role_data in roles.items():
+                    role_name = role_data.get('role', '')
+                    if 'researcher' in role_key.lower() or 'researcher' in role_name.lower():
+                        print(f'  🎯 FOUND in {yaml_file}:')
+                        print(f'    Framework: {config.get(\"framework\", \"NOT_SET\")}')
+                        print(f'    Role key: {role_key}')
+                        print(f'    Role name: {role_name}')
+                        print(f'    All roles: {list(roles.keys())}')
+                        print()
+            except Exception as e:
+                print(f'  ❌ Error reading {yaml_file}: {e}')
+        
+        print('🔍 Checking for default configurations...')
+        # Check if there are any default configs or hardcoded roles
+        try:
+            import praisonai
+            print(f'  PraisonAI package location: {praisonai.__file__}')
+            
+            # Check if there are any example YAML files in the package
+            package_dir = os.path.dirname(praisonai.__file__)
+            for root, dirs, files in os.walk(package_dir):
+                for file in files:
+                    if file.endswith(('.yaml', '.yml')):
+                        file_path = os.path.join(root, file)
+                        print(f'  📁 Found YAML in package: {file_path}')
+        except Exception as e:
+            print(f'  ❌ Error checking package: {e}')
+        "
+      continue-on-error: true
+
+    - name: Trace AutoGen Execution Path
+      run: |
+        echo "🔍 Tracing AutoGen execution to find where it diverges..."
+        cd src/praisonai
+        python -c "
+        import os
+        import sys
+        sys.path.insert(0, '.')
+        
+        try:
+            from praisonai import PraisonAI
+            from praisonai.agents_generator import AgentsGenerator
+            
+            # Test the exact execution path
+            print('🎯 Testing AutoGen execution path:')
+            
+            praisonai = PraisonAI(agent_file='tests/autogen-agents.yaml')
+            print(f'  1. PraisonAI framework: \"{praisonai.framework}\"')
+            
+            agents_gen = AgentsGenerator(
+                agent_file='tests/autogen-agents.yaml',
+                framework=praisonai.framework,
+                config_list=praisonai.config_list
+            )
+            print(f'  2. AgentsGenerator framework: \"{agents_gen.framework}\"')
+            
+            # Load the YAML to check what it contains
+            import yaml
+            with open('src/praisonai/tests/autogen-agents.yaml', 'r') as f:
+                config = yaml.safe_load(f)
+            
+            framework = agents_gen.framework or config.get('framework')
+            print(f'  3. Final framework decision: \"{framework}\"')
+            print(f'  4. Available frameworks:')
+            
+            # Check framework availability
+            try:
+                import autogen
+                print(f'    ✅ AutoGen available')
+            except ImportError:
+                print(f'    ❌ AutoGen NOT available')
+                
+            try:
+                from praisonaiagents import Agent
+                print(f'    ✅ PraisonAI agents available')
+            except ImportError:
+                print(f'    ❌ PraisonAI agents NOT available')
+                
+            try:
+                from crewai import Agent
+                print(f'    ✅ CrewAI available')
+            except ImportError:
+                print(f'    ❌ CrewAI NOT available')
+            
+            print(f'  5. Roles in YAML: {list(config.get(\"roles\", {}).keys())}')
+            
+            # Now test the actual framework execution
+            if framework == 'autogen':
+                print(f'  6. ✅ Should execute _run_autogen')
+            elif framework == 'praisonai':
+                print(f'  6. ❌ Would execute _run_praisonai (WRONG!)')
+            else:
+                print(f'  6. ❌ Would execute _run_crewai (DEFAULT FALLBACK)')
+                
+        except Exception as e:
+            print(f'❌ Error tracing execution: {e}')
+            import traceback
+            traceback.print_exc()
+        "
+      continue-on-error: true
+
+    - 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 src/praisonai/tests/:')
+        import glob
+        yaml_files = glob.glob('tests/*.yaml')
+        for f in yaml_files:
+            print(f'  {f}')
+        
+        print()
+        print('📋 Content of autogen-agents.yaml:')
+        with open('tests/autogen-agents.yaml', 'r') as f:
+            config = yaml.safe_load(f)
+        print(f'  Framework: {config.get(\"framework\")}')
+        print(f'  Topic: {config.get(\"topic\")}')
+        print(f'  Roles: {list(config.get(\"roles\", {}).keys())}')
+        for role_key, role_data in config.get('roles', {}).items():
+            print(f'    {role_key} -> {role_data.get(\"role\", \"NO_ROLE\")}')
+        
+        print()
+        print('🔍 Checking if execution uses a different YAML:')
+        
+        # Check other YAML files for 'Researcher' role
+        for yaml_file in yaml_files:
+            try:
+                with open(yaml_file, 'r') as f:
+                    test_config = yaml.safe_load(f)
+                roles = test_config.get('roles', {})
+                for role_key, role_data in roles.items():
+                    if 'researcher' in role_key.lower() or 'researcher' in role_data.get('role', '').lower():
+                        print(f'  🎯 FOUND Researcher in {yaml_file}!')
+                        print(f'    Framework: {test_config.get(\"framework\")}')
+                        print(f'    Role key: {role_key} -> {role_data.get(\"role\")}')
+            except:
+                pass
+        "
+      continue-on-error: true
+
+    - name: Debug Framework Detection
+      run: |
+        echo "🔍 Testing framework detection and config flow..."
+        python -c "
+        import os
+        import sys
+        import yaml
+        sys.path.insert(0, '.')
+        
+        print('🔧 Testing framework detection:')
+        
+        # Load the YAML file
+        with open('tests/autogen-agents.yaml', 'r') as f:
+            config = yaml.safe_load(f)
+            
+        print(f'  📋 YAML framework: {config.get(\"framework\", \"NOT_SET\")}')
+        print(f'  📋 YAML topic: {config.get(\"topic\", \"NOT_SET\")}')
+        
+        try:
+            from praisonai import PraisonAI
+            from praisonai.agents_generator import AgentsGenerator
+            
+            # Test PraisonAI initialization
+            praisonai = PraisonAI(agent_file='tests/autogen-agents.yaml')
+            print(f'  🎯 PraisonAI framework: {praisonai.framework}')
+            
+            # Test AgentsGenerator initialization
+            agents_gen = AgentsGenerator(
+                agent_file='tests/autogen-agents.yaml',
+                framework=praisonai.framework,
+                config_list=praisonai.config_list
+            )
+            print(f'  ⚙️ AgentsGenerator framework: {agents_gen.framework}')
+            print(f'  ⚙️ Final framework decision: {agents_gen.framework or config.get(\"framework\")}')
+            
+            # Check config_list
+            print(f'  🔑 Config list model: {praisonai.config_list[0].get(\"model\")}')
+            print(f'  🔑 Config list API key: {praisonai.config_list[0].get(\"api_key\", \"NOT_SET\")[:10]}...')
+            
+        except Exception as e:
+            print(f'❌ Error in framework detection: {e}')
+        "
+      continue-on-error: true
+
+    - name: Debug PraisonAIModel API Key Flow
+      run: |
+        echo "🔍 Testing PraisonAIModel API key handling..."
+        cd src/praisonai
+        python -c "
+        import os
+        import sys
+        sys.path.insert(0, '.')
+        
+        print('🔑 Environment API Key Check:')
+        env_key = os.environ.get('OPENAI_API_KEY', 'NOT_FOUND')
+        print(f'  OPENAI_API_KEY: {env_key[:10] if env_key != \"NOT_FOUND\" else \"NOT_FOUND\"}...')
+        
+        try:
+            from praisonai.inc.models import PraisonAIModel
+            
+            # Test PraisonAIModel with openai/gpt-5-nano (from YAML)
+            model = PraisonAIModel(model='openai/gpt-5-nano')
+            
+            print('🤖 PraisonAIModel Configuration:')
+            print(f'  model: {model.model}')
+            print(f'  model_name: {model.model_name}')
+            print(f'  api_key_var: {model.api_key_var}')
+            print(f'  api_key: {model.api_key[:10] if model.api_key != \"nokey\" else \"DEFAULT_NOKEY\"}...')
+            print(f'  base_url: {model.base_url}')
+            
+            if model.api_key == 'nokey':
+                print('❌ FOUND THE ISSUE: PraisonAIModel is using default \"nokey\" instead of environment variable!')
+            else:
+                print('✅ PraisonAIModel has valid API key from environment')
+                
+        except Exception as e:
+            print(f'❌ Error testing PraisonAIModel: {e}')
+        "
+      continue-on-error: true
+
+    - 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'))
+            # Make a minimal API call to test key validity
+            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: Test Direct PraisonAI Execution
+      run: |
+        echo "🧪 Testing direct PraisonAI execution (what works locally)..."
+        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
+        import yaml
+        sys.path.insert(0, '.')
+        
+        print('=' * 60)
+        print('🔍 COMPREHENSIVE EXECUTION DEBUG')
+        print('=' * 60)
+        
+        # Check current working directory
+        print(f'📁 Current working directory: {os.getcwd()}')
+        
+        # List files in current directory
+        print('📋 Files in current directory:')
+        for f in os.listdir('.'):
+            print(f'  {f}')
+        
+        print()
+        print('📋 Files in src/praisonai/tests/ directory:')
+        for f in os.listdir('tests'):
+            if f.endswith('.yaml'):
+                print(f'  src/praisonai/tests/{f}')
+        
+        # Check if root agents.yaml exists
+        print()
+        if os.path.exists('agents.yaml'):
+            print('❌ ROOT agents.yaml EXISTS (this is the problem!)')
+            with open('agents.yaml', 'r') as f:
+                root_config = yaml.safe_load(f)
+            print(f'  Root framework: {root_config.get(\"framework\")}')
+            print(f'  Root roles: {list(root_config.get(\"roles\", {}).keys())}')
+        else:
+            print('✅ ROOT agents.yaml does NOT exist (good!)')
+            
+        # Test the actual execution path
+        print()
+        print('🎯 Testing EXACT execution path:')
+        
+        try:
+            from praisonai import PraisonAI
+            from praisonai.agents_generator import AgentsGenerator
+            
+            # Test with full path
+            test_file = 'src/praisonai/tests/autogen-agents.yaml'
+            print(f'  Using test file: {test_file}')
+            print(f'  File exists: {os.path.exists(test_file)}')
+            
+            # Load the test file directly
+            with open(test_file, 'r') as f:
+                test_config = yaml.safe_load(f)
+            print(f'  Test file framework: {test_config.get(\"framework\")}')
+            print(f'  Test file roles: {list(test_config.get(\"roles\", {}).keys())}')
+            
+            # Create PraisonAI instance
+            praisonai = PraisonAI(agent_file=test_file)
+            print(f'  PraisonAI.agent_file: {praisonai.agent_file}')
+            print(f'  PraisonAI.framework: {praisonai.framework}')
+            
+            # Create AgentsGenerator
+            agents_gen = AgentsGenerator(
+                agent_file=test_file,
+                framework=praisonai.framework,
+                config_list=praisonai.config_list
+            )
+            print(f'  AgentsGenerator.agent_file: {agents_gen.agent_file}')
+            print(f'  AgentsGenerator.framework: {agents_gen.framework}')
+            
+            # Test what would happen in generate_crew_and_kickoff
+            print()
+            print('🔧 Testing generate_crew_and_kickoff logic:')
+            
+            # Simulate the loading logic
+            if agents_gen.agent_yaml:
+                loaded_config = yaml.safe_load(agents_gen.agent_yaml)
+                print('  Would load from agent_yaml')
+            else:
+                if agents_gen.agent_file == '/app/api:app' or agents_gen.agent_file == 'api:app':
+                    agents_gen.agent_file = 'agents.yaml'
+                    print(f'  Would change agent_file to: {agents_gen.agent_file}')
+                try:
+                    with open(agents_gen.agent_file, 'r') as f:
+                        loaded_config = yaml.safe_load(f)
+                    print(f'  Successfully loaded: {agents_gen.agent_file}')
+                except FileNotFoundError:
+                    print(f'  FileNotFoundError: {agents_gen.agent_file}')
+                    loaded_config = None
+            
+            if loaded_config:
+                final_framework = agents_gen.framework or loaded_config.get('framework')
+                print(f'  Final framework decision: {final_framework}')
+                print(f'  Loaded roles: {list(loaded_config.get(\"roles\", {}).keys())}')
+                
+                if 'researcher' in loaded_config.get('roles', {}):
+                    print('  ❌ FOUND Researcher role in loaded config!')
+                else:
+                    print('  ✅ No Researcher role in loaded config')
+                    
+        except Exception as e:
+            print(f'❌ Error during execution debug: {e}')
+            import traceback
+            traceback.print_exc()
+        "
+      continue-on-error: true
+
+    - name: Run Fast Tests
+      run: |
+        # Run the fastest, most essential tests with coverage
+        cd src/praisonai && python -m pytest tests/unit/test_core_agents.py -v --tb=short --disable-warnings --cov=praisonai --cov-report=xml --cov-branch
+
+    - 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: |
+        cd src/praisonai && python -m pytest tests/test.py -v --tb=short --disable-warnings -m "not real" --timeout=60
+      continue-on-error: true
+
+    - name: Upload coverage reports to Codecov
+      uses: codecov/codecov-action@v5
+      with:
+        token: ${{ secrets.CODECOV_TOKEN }}
+        file: src/praisonai/coverage.xml
+        flags: quick-validation
+        name: quick-validation-coverage
+        fail_ci_if_error: false
+        verbose: true
+
+    - name: Restore Root Config Files
+      run: |
+        echo "🔄 Restoring root configuration files..."
+        if [ -f "agents.yaml.backup" ]; then
+          mv agents.yaml.backup agents.yaml
+          echo "✅ Restored agents.yaml"
+        fi
+        if [ -f "tools.py.backup" ]; then
+          mv tools.py.backup tools.py
+          echo "✅ Restored tools.py"
+        fi
+      if: always()  # Always run this step, even if previous steps failed

.github/workflows/update-api-md.yml

@@ -1,57 +0,0 @@
-name: Update API Reference
-
-on:
-  push:
-    branches: [ "main" ]
-    paths:
-      - 'src/praisonai-agents/praisonaiagents/**/*.py'
-      - 'src/praisonai/praisonai/**/*.py'
-      - 'src/praisonai-ts/src/**/*.ts'
-      - '.github/workflows/update-api-md.yml'
-
-permissions:
-  contents: write
-
-jobs:
-  update-api-md:
-    runs-on: ubuntu-latest
-    
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-      with:
-        ref: main
-        persist-credentials: true
-        fetch-depth: 0
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-
-    - name: Generate api.md
-      run: |
-        cd $GITHUB_WORKSPACE
-        python3 src/praisonai/scripts/generate_api_md.py
-        
-    - name: Check for changes
-      id: check_changes
-      run: |
-        if git diff --quiet api.md; then
-          echo "changes=false" >> $GITHUB_OUTPUT
-          echo "No changes to api.md"
-        else
-          echo "changes=true" >> $GITHUB_OUTPUT
-          echo "api.md has been updated"
-          git diff api.md | head -50
-        fi
-
-    - name: Commit and push changes
-      if: steps.check_changes.outputs.changes == 'true'
-      uses: stefanzweifel/git-auto-commit-action@v5
-      with:
-        commit_message: "docs: auto-update api.md [skip ci]"
-        file_pattern: 'api.md'
-        commit_user_name: "MervinPraison"
-        commit_user_email: "[email protected]"
-        commit_author: "MervinPraison <[email protected]>"

.github/workflows/update-docs-parity.yml

@@ -1,83 +0,0 @@
-name: Update Documentation Parity Tracker
-
-on:
-  push:
-    branches: [ "main" ]
-    paths:
-      - 'src/praisonai-agents/praisonaiagents/**/*.py'
-      - 'src/praisonai-ts/src/**/*.ts'
-      - 'src/praisonai-rust/src/**/*.rs'
-      - 'src/praisonai/praisonai/_dev/parity/**/*.py'
-      - '.github/workflows/update-docs-parity.yml'
-  workflow_dispatch:  # Allow manual trigger
-
-permissions:
-  contents: write
-
-jobs:
-  update-docs-parity:
-    runs-on: ubuntu-latest
-    
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-      with:
-        ref: main
-        persist-credentials: true
-        fetch-depth: 0
-
-    - name: Checkout PraisonAIDocs
-      id: checkout_docs
-      continue-on-error: true
-      uses: actions/checkout@v4
-      with:
-        repository: MervinPraison/PraisonAIDocs
-        path: PraisonAIDocs
-        token: ${{ secrets.SECRETS_ADMIN_PAT }}
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-
-    - name: Install dependencies
-      run: |
-        pip install pyyaml
-
-    - name: Generate docs parity trackers
-      if: steps.checkout_docs.outcome == 'success'
-      run: |
-        cd $GITHUB_WORKSPACE
-        python3 src/praisonai/scripts/generate_docs_parity.py --docs-root PraisonAIDocs/docs --copy-docs
-        
-    - name: Check for changes
-      id: check_changes
-      run: |
-        if git diff --quiet src/praisonai-agents/DOCS_PARITY.md src/praisonai-ts/DOCS_PARITY.md src/praisonai-rust/DOCS_PARITY.md 2>/dev/null; then
-          echo "changes=false" >> $GITHUB_OUTPUT
-          echo "No changes to docs parity trackers"
-        else
-          echo "changes=true" >> $GITHUB_OUTPUT
-          echo "Docs parity trackers have been updated"
-          git diff --stat src/praisonai-agents/DOCS_PARITY.md src/praisonai-ts/DOCS_PARITY.md src/praisonai-rust/DOCS_PARITY.md
-        fi
-
-    - name: Commit and push changes to praisonai-package
-      if: steps.check_changes.outputs.changes == 'true'
-      uses: stefanzweifel/git-auto-commit-action@v5
-      with:
-        commit_message: "docs: auto-update documentation parity trackers [skip ci]"
-        file_pattern: 'src/praisonai-agents/DOCS_PARITY.md src/praisonai-ts/DOCS_PARITY.md src/praisonai-rust/DOCS_PARITY.md'
-        commit_user_name: "MervinPraison"
-        commit_user_email: "[email protected]"
-        commit_author: "MervinPraison <[email protected]>"
-
-    - name: Commit and push changes to PraisonAIDocs
-      if: steps.check_changes.outputs.changes == 'true' && steps.checkout_docs.outcome == 'success'
-      run: |
-        cd PraisonAIDocs
-        git config user.name "MervinPraison"
-        git config user.email "[email protected]"
-        git add docs/features/DOCS_PARITY.md docs/js/DOCS_PARITY.md docs/rust/DOCS_PARITY.md
-        git diff --staged --quiet || git commit -m "docs: auto-update documentation parity trackers [skip ci]"
-        git push

.github/workflows/update-parity-tracker.yml

@@ -1,61 +0,0 @@
-name: Update Feature Parity Tracker
-
-on:
-  push:
-    branches: [ "main" ]
-    paths:
-      - 'src/praisonai-agents/praisonaiagents/**/*.py'
-      - 'src/praisonai-ts/src/**/*.ts'
-      - 'src/praisonai-rust/src/**/*.rs'
-      - '.github/workflows/update-parity-tracker.yml'
-
-permissions:
-  contents: write
-
-jobs:
-  update-parity-tracker:
-    runs-on: ubuntu-latest
-    
-    steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
-      with:
-        ref: main
-        persist-credentials: true
-        fetch-depth: 0
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-
-    - name: Install dependencies
-      run: pip install pyyaml
-
-    - name: Generate parity trackers
-      run: |
-        cd $GITHUB_WORKSPACE
-        python3 src/praisonai/scripts/generate_parity_tracker.py
-        
-    - name: Check for changes
-      id: check_changes
-      run: |
-        if git diff --quiet src/praisonai-ts/FEATURE_PARITY_TRACKER.json src/praisonai-ts/PARITY.md src/praisonai-rust/FEATURE_PARITY_TRACKER.json src/praisonai-rust/PARITY.md 2>/dev/null; then
-          echo "changes=false" >> $GITHUB_OUTPUT
-          echo "No changes to parity trackers"
-        else
-          echo "changes=true" >> $GITHUB_OUTPUT
-          echo "Parity trackers have been updated"
-          git diff src/praisonai-ts/FEATURE_PARITY_TRACKER.json | head -50
-        fi
-
-    - name: Commit and push changes
-      if: steps.check_changes.outputs.changes == 'true'
-      uses: stefanzweifel/git-auto-commit-action@v5
-      with:
-        commit_message: "docs: auto-update feature parity trackers [skip ci]"
-        file_pattern: 'src/praisonai-ts/FEATURE_PARITY_TRACKER.json src/praisonai-ts/PARITY.md src/praisonai-rust/FEATURE_PARITY_TRACKER.json src/praisonai-rust/PARITY.md'
-        commit_user_name: "MervinPraison"
-        commit_user_email: "[email protected]"
-        commit_author: "MervinPraison <[email protected]>"
-

.gitignore

@@ -20,8 +20,6 @@ watch.sh
 docs.sh
 other
 output
-!src/praisonai/praisonai/cli/output/
-!src/praisonai-agents/praisonaiagents/output/
 
 .files
 threads.db
@@ -84,17 +82,4 @@ issue_details.json
 # MCP Registry tokens
 .mcpregistry_*
 
-*.log
-.internal
-.praisonai
-
-# Rust / Cargo
-target/
-Cargo.lock
-**/*.rs.bk
-*.pdb
-.windsurf
-.agent
-
-src/praisonai/build*.egg-info/
-src/praisonai/PraisonAI.egg-info/
+*.log

api_server.py

@@ -0,0 +1,71 @@
+"""
+Auto-generated API server for PraisonAI agents.
+"""
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from praisonai import PraisonAI
+import os
+
+app = Flask(__name__)
+
+# CORS configuration
+CORS(app)
+
+# Authentication
+AUTH_ENABLED = False
+AUTH_TOKEN = None
+
+def check_auth():
+    """Check authentication if enabled."""
+    if not AUTH_ENABLED:
+        return True
+    
+    token = request.headers.get('Authorization', '').replace('Bearer ', '')
+    return token == AUTH_TOKEN
+
+@app.route('/health', methods=['GET'])
+def health():
+    """Health check endpoint."""
+    return jsonify({"status": "ok", "service": "praisonai-api"})
+
+@app.route('/chat', methods=['POST'])
+def chat():
+    """Chat endpoint for agent interaction."""
+    if not check_auth():
+        return jsonify({"error": "Unauthorized"}), 401
+    
+    data = request.get_json()
+    if not data or 'message' not in data:
+        return jsonify({"error": "Message required"}), 400
+    
+    try:
+        praisonai = PraisonAI(agent_file="agents.yaml")
+        result = praisonai.run()
+        
+        return jsonify({
+            "response": result,
+            "status": "success"
+        })
+    except Exception as e:
+        return jsonify({
+            "error": str(e),
+            "status": "error"
+        }), 500
+
+@app.route('/agents', methods=['GET'])
+def list_agents():
+    """List available agents."""
+    if not check_auth():
+        return jsonify({"error": "Unauthorized"}), 401
+    
+    return jsonify({
+        "agents": ["default"],
+        "agent_file": "agents.yaml"
+    })
+
+if __name__ == '__main__':
+    app.run(
+        host='0.0.0.0',
+        port=8080,
+        debug=False
+    )

docker/.env.template

@@ -13,12 +13,6 @@ GOOGLE_API_KEY=your_google_api_key_here
 GROQ_API_KEY=your_groq_api_key_here
 COHERE_API_KEY=your_cohere_api_key_here
 
-# Bot Tokens (for messaging bot services)
-SLACK_BOT_TOKEN=xoxb-your-slack-bot-token
-SLACK_APP_TOKEN=xapp-your-slack-app-token
-DISCORD_BOT_TOKEN=your-discord-bot-token
-TELEGRAM_BOT_TOKEN=your-telegram-bot-token
-
 # Optional: Service Configuration
 FLASK_ENV=development
 CHAINLIT_HOST=0.0.0.0

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>=4.5.112" \
+    "praisonai>=3.1.2" \
     "praisonai[chat]" \
     "embedchain[github,youtube]"
 

docker/Dockerfile.claw

@@ -1,61 +0,0 @@
-# PraisonAI 🦞 Claw — All-in-one: dashboard + bots + gateway + agents
-#
-# Build:    docker build -f docker/Dockerfile.claw -t praisonai:claw ..
-# Run:      docker run -p 8082:8082 -e OPENAI_API_KEY=sk-xxx praisonai:claw
-# Health:   curl http://localhost:8082/health
-#
-# Override CMD for other modes:
-#   Bot:     docker run -e ... praisonai:claw praisonai bot telegram
-#   Gateway: docker run -e ... praisonai:claw praisonai gateway start
-#   Serve:   docker run -e ... praisonai:claw praisonai serve agents.yaml
-#   Shell:   docker run --rm -it praisonai:claw bash
-
-FROM python:3.12-slim AS base
-
-# ── Environment ──────────────────────────────────────────────────────────────
-ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1 \
-    AIUI_PORT=8082 \
-    AIUI_HOST=0.0.0.0 \
-    AIUI_DATA_DIR=/data
-
-WORKDIR /app
-
-# ── System dependencies ─────────────────────────────────────────────────────
-# tini:            PID 1 signal handling (graceful shutdown on Fly/Railway/k8s)
-# curl:            HEALTHCHECK probe
-# build-essential: compile native Python wheels (chromadb, etc.)
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    tini \
-    curl \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-# ── Install PraisonAI 🦞 ────────────────────────────────────────────────────
-# Single command installs: AIUI dashboard, agents SDK (memory/knowledge/llm/mcp),
-# bot channels (Telegram/Discord/Slack), gateway, search tools, and more.
-RUN pip install --no-cache-dir "praisonai[claw]"
-
-# ── Data volume ──────────────────────────────────────────────────────────────
-# Persistence for sessions, config, memory, knowledge stores
-RUN mkdir -p /data
-VOLUME /data
-
-# ── Entrypoint ───────────────────────────────────────────────────────────────
-# Ensures /data exists and forwards all signals via tini
-RUN printf '#!/bin/sh\n\
-    set -e\n\
-    mkdir -p /data 2>/dev/null || true\n\
-    exec "$@"\n' > /usr/local/bin/entrypoint.sh \
-    && chmod +x /usr/local/bin/entrypoint.sh
-
-EXPOSE 8082
-
-# ── Health check ─────────────────────────────────────────────────────────────
-HEALTHCHECK --interval=30s --timeout=5s --start-period=20s --retries=3 \
-    CMD curl -f http://localhost:8082/health || exit 1
-
-# ── Run ──────────────────────────────────────────────────────────────────────
-# Default: AIUI dashboard via praisonai claw. Override CMD for bot/gateway/serve.
-ENTRYPOINT ["/usr/bin/tini", "--", "/usr/local/bin/entrypoint.sh"]
-CMD ["praisonai", "claw", "--port", "8082"]

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>=4.5.112" \
+    "praisonai>=3.1.2" \
     "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>=4.5.112" \
+    "praisonai>=3.1.2" \
     "praisonai[ui]" \
     "praisonai[crewai]"
 

docker/bots/.env.template

@@ -1,15 +0,0 @@
-# Bot Environment Variables
-# Copy to .env and fill in your values
-
-# Required: LLM API Key
-OPENAI_API_KEY=your_openai_api_key_here
-
-# Slack Bot (Socket Mode)
-SLACK_BOT_TOKEN=xoxb-your-slack-bot-token
-SLACK_APP_TOKEN=xapp-your-slack-app-token
-
-# Discord Bot
-DISCORD_BOT_TOKEN=your-discord-bot-token
-
-# Telegram Bot
-TELEGRAM_BOT_TOKEN=your-telegram-bot-token

docker/bots/Dockerfile

@@ -1,42 +0,0 @@
-# Dockerfile for PraisonAI Slack Bot
-# Secrets are passed at runtime via environment variables
-
-FROM python:3.11-slim
-
-WORKDIR /app
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    gcc \
-    python3-dev \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
-
-# Create praison config directory
-RUN mkdir -p /root/.praison
-
-# Install praisonai with bot dependencies
-RUN pip install --no-cache-dir \
-    praisonai \
-    slack-bolt \
-    slack-sdk \
-    "discord.py>=2.0.0" \
-    "python-telegram-bot>=20.0"
-
-# Set environment variables for directory management
-ENV PRAISON_CONFIG_DIR=/root/.praison
-ENV DOCKER_CONTAINER=true
-
-# Bot tokens should be passed at runtime (not baked into image)
-# SLACK_BOT_TOKEN=xoxb-...
-# SLACK_APP_TOKEN=xapp-...
-
-# Optional: Copy custom agent configuration
-# COPY agent.yaml /app/agent.yaml
-
-# Expose no ports - Socket Mode doesn't need them
-# For webhook mode, expose port 3000
-
-# Default command - tokens from environment
-CMD ["praisonai", "bot", "slack"]

docker/bots/README.md

@@ -1,66 +0,0 @@
-# PraisonAI Bot Docker Deployment
-
-Deploy Slack, Discord, or Telegram bots using Docker.
-
-## Quick Start
-
-```bash
-# 1. Copy environment template
-cp .env.template .env
-
-# 2. Edit .env with your tokens
-nano .env
-
-# 3. Run specific bot
-docker compose up slack-bot -d
-
-# Or run all bots
-docker compose up -d
-```
-
-## Environment Variables
-
-| Variable | Required | Description |
-|----------|----------|-------------|
-| `OPENAI_API_KEY` | Yes | LLM API key |
-| `SLACK_BOT_TOKEN` | For Slack | Bot token (xoxb-...) |
-| `SLACK_APP_TOKEN` | For Slack | App token (xapp-...) |
-| `DISCORD_BOT_TOKEN` | For Discord | Bot token |
-| `TELEGRAM_BOT_TOKEN` | For Telegram | Bot token |
-
-## Slack Setup
-
-1. Create app at https://api.slack.com/apps
-2. Enable **Socket Mode** → Generate App-Level Token with `connections:write`
-3. Add **OAuth Scopes**: `chat:write`, `app_mentions:read`, `im:history`
-4. Enable **Event Subscriptions** → Subscribe to `app_mention`, `message.im`
-5. **Install to Workspace**
-6. Copy Bot Token and App Token to `.env`
-
-## Commands
-
-```bash
-# Start Slack bot
-docker compose up slack-bot -d
-
-# View logs
-docker compose logs -f slack-bot
-
-# Stop bot
-docker compose down slack-bot
-
-# Rebuild after updates
-docker compose build --no-cache slack-bot
-```
-
-## Custom Agent Configuration
-
-Mount your agent config:
-
-```yaml
-services:
-  slack-bot:
-    volumes:
-      - ./agent.yaml:/app/agent.yaml
-    command: ["praisonai", "bot", "slack", "--agent", "/app/agent.yaml"]
-```

docker/bots/docker-compose.yml

@@ -1,53 +0,0 @@
-version: '3.8'
-
-# PraisonAI Bot Services
-# Run specific bots: docker compose up slack-bot
-# Run all bots: docker compose up
-
-services:
-  # Slack Bot
-  slack-bot:
-    build:
-      context: ../..
-      dockerfile: docker/bots/Dockerfile
-    volumes:
-      - praison_data:/root/.praison
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      SLACK_BOT_TOKEN: ${SLACK_BOT_TOKEN}
-      SLACK_APP_TOKEN: ${SLACK_APP_TOKEN}
-      PRAISON_CONFIG_DIR: /root/.praison
-    command: [ "praisonai", "bot", "slack" ]
-    restart: unless-stopped
-
-  # Discord Bot
-  discord-bot:
-    build:
-      context: ../..
-      dockerfile: docker/bots/Dockerfile
-    volumes:
-      - praison_data:/root/.praison
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      DISCORD_BOT_TOKEN: ${DISCORD_BOT_TOKEN}
-      PRAISON_CONFIG_DIR: /root/.praison
-    command: [ "praisonai", "bot", "discord" ]
-    restart: unless-stopped
-
-  # Telegram Bot
-  telegram-bot:
-    build:
-      context: ../..
-      dockerfile: docker/bots/Dockerfile
-    volumes:
-      - praison_data:/root/.praison
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      TELEGRAM_BOT_TOKEN: ${TELEGRAM_BOT_TOKEN}
-      PRAISON_CONFIG_DIR: /root/.praison
-    command: [ "praisonai", "bot", "telegram" ]
-    restart: unless-stopped
-
-volumes:
-  praison_data:
-    driver: local

docker/docker-compose.yml

@@ -1,29 +1,6 @@
 version: '3.8'
 
 services:
-  # PraisonAI 🦞 Claw — Recommended all-in-one service
-  claw:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.claw
-    volumes:
-      - claw_data:/data
-    ports:
-      - "8082:8082"
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-    restart: unless-stopped
-    healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8082/health" ]
-      interval: 30s
-      timeout: 5s
-      start_period: 20s
-      retries: 3
-    networks:
-      - praison_network
-
-  # ─── Legacy services (kept for backward compatibility) ─────────────────
-
   # PraisonAI UI Service
   ui:
     build:
@@ -45,7 +22,7 @@ services:
       CHAINLIT_DB_DIR: /root/.praison
     command: praisonai ui --host 0.0.0.0
     healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8082" ]
+      test: ["CMD", "curl", "-f", "http://localhost:8082"]
       interval: 10s
       timeout: 5s
       retries: 3
@@ -72,7 +49,7 @@ services:
       CHAINLIT_DB_DIR: /root/.praison
     command: praisonai chat --host 0.0.0.0 --port 8083
     healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8083" ]
+      test: ["CMD", "curl", "-f", "http://localhost:8083"]
       interval: 10s
       timeout: 5s
       retries: 3
@@ -92,7 +69,7 @@ services:
       OPENAI_API_KEY: ${OPENAI_API_KEY}
       PRAISON_CONFIG_DIR: /root/.praison
     healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8080/health" ]
+      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
       interval: 10s
       timeout: 5s
       retries: 3
@@ -112,14 +89,11 @@ services:
       PRAISON_CONFIG_DIR: /root/.praison
     networks:
       - praison_network
-  # For bot services (Slack, Discord, Telegram), see docker/bots/
 
 volumes:
-  claw_data:
-    driver: local
   praison_data:
     driver: local
 
 networks:
   praison_network:
-    driver: bridge
+    driver: bridge

docs/profiling-cli.md

@@ -0,0 +1,203 @@
+# Profiling CLI
+
+PraisonAI provides unified profiling capabilities for performance analysis and debugging, with **full visibility from ENTER to first response**.
+
+## Quick Start
+
+```bash
+# Basic profiling
+praisonai "What is 2+2?" --profile
+
+# Deep profiling with call graph, decision trace, and module breakdown
+praisonai "What is 2+2?" --profile --profile-deep
+
+# JSON output format
+praisonai "What is 2+2?" --profile --profile-format json
+```
+
+## Time to First Response (TTFR)
+
+**TTFR** is the key user-perceived latency metric. It measures the time from when you press ENTER until the first visible output appears.
+
+### What contributes to TTFR?
+
+1. **CLI Entry** - Time to reach the CLI entry point
+2. **CLI Parse** - Argparse/Typer routing time
+3. **Routing** - Command routing to handler
+4. **Imports** - Loading required modules
+5. **Agent Init** - Initializing the agent
+6. **Network Request** - Sending request to LLM API
+7. **First Token** - Receiving first token (streaming)
+8. **First Output** - Rendering first visible output
+
+### How to reduce TTFR
+
+1. **Warm runs** - Imports are cached after first run
+2. **Streaming mode** - See output as tokens arrive
+3. **Lighter models** - Faster response times
+4. **Local models** - Eliminate network latency
+
+## CLI Flags
+
+| Flag | Description | Default |
+|------|-------------|---------|
+| `--profile` | Enable profiling with timing breakdown | Disabled |
+| `--profile-deep` | Enable deep profiling with call graph (higher overhead) | Disabled |
+| `--profile-format` | Output format: `text` or `json` | `text` |
+
+## Profile Command
+
+For more detailed profiling options, use the `profile` subcommand:
+
+```bash
+# Profile a query
+praisonai profile query "What is 2+2?"
+
+# With deep call tracing
+praisonai profile query "Hello" --deep
+
+# Limit functions shown
+praisonai profile query "Test" --limit 20
+
+# Save artifacts to directory
+praisonai profile query "Test" --save ./profile_results
+
+# JSON output
+praisonai profile query "Test" --format json
+```
+
+### Profile Query Options
+
+| Option | Description | Default |
+|--------|-------------|---------|
+| `--model, -m` | Model to use | Default model |
+| `--stream/--no-stream` | Use streaming mode | No stream |
+| `--deep` | Enable deep call tracing | Disabled |
+| `--limit, -n` | Top N functions to show | 30 |
+| `--sort, -s` | Sort by: `cumulative` or `tottime` | `cumulative` |
+| `--show-callers` | Show caller functions | Disabled |
+| `--show-callees` | Show callee functions | Disabled |
+| `--save` | Save artifacts to path | None |
+| `--format, -f` | Output format: `text` or `json` | `text` |
+
+## Other Profile Commands
+
+```bash
+# Profile module import times
+praisonai profile imports
+
+# Profile CLI startup time
+praisonai profile startup
+
+# Run comprehensive profiling suite
+praisonai profile suite
+
+# Create performance snapshots for comparison
+praisonai profile snapshot --baseline
+praisonai profile snapshot current --compare
+
+# Configure performance optimizations
+praisonai profile optimize --show
+```
+
+## Output Format
+
+### Text Report
+
+```
+======================================================================
+PraisonAI Profile Report
+======================================================================
+
+Run ID:     abc12345
+Timestamp:  2024-01-02T12:00:00.000000Z
+Method:     cli_direct
+Version:    3.0.1
+
+## Execution Timeline
+---------------------------------------------
+  Imports                   :   500.00 ms
+  Agent Init                :     0.50 ms
+  Execution                 :  2000.00 ms
+  ───────────────────────────────────────────
+  ⏱ Time to First Response  :  2500.50 ms
+  TOTAL                     :  2500.50 ms
+
+## Timing Breakdown
+----------------------------------------
+  Imports:            500.00 ms
+  Agent Init:           0.50 ms
+  Execution:         2000.00 ms
+  ─────────────────────────────────────
+  TOTAL:             2500.50 ms
+
+## Decision Trace (deep profile only)
+----------------------------------------
+  Agent Config:    default
+  Model:           gpt-4
+  Streaming:       disabled
+  Profile Layer:   2
+
+## Top Functions by Cumulative Time
+----------------------------------------------------------------------
+Function                                    Calls   Cumul (ms)
+----------------------------------------------------------------------
+request                                         1      1800.00
+send                                            1      1750.00
+...
+```
+
+### JSON Report
+
+```json
+{
+  "schema_version": "1.0",
+  "run_id": "abc12345",
+  "timestamp": "2024-01-02T12:00:00.000000Z",
+  "invocation": {
+    "method": "cli_direct",
+    "flags": {"layer": 1, "stream": false, "model": null},
+    "praisonai_version": "3.0.1",
+    "python_version": "3.12.0"
+  },
+  "timing": {
+    "total_ms": 2500.5,
+    "imports_ms": 500.0,
+    "agent_init_ms": 0.5,
+    "execution_ms": 2000.0
+  },
+  "functions": [...],
+  "response_preview": "four"
+}
+```
+
+## Profiling Layers
+
+| Layer | Overhead | Features |
+|-------|----------|----------|
+| 0 | < 1ms | Wall-clock phases only |
+| 1 | ~5% | + cProfile function stats |
+| 2 | ~15% | + Call graph (callers/callees) |
+
+- `--profile` uses Layer 1
+- `--profile --profile-deep` uses Layer 2
+
+## Performance Tips
+
+1. **Use Layer 0 for production monitoring** - minimal overhead
+2. **Use Layer 1 for development profiling** - good balance
+3. **Use Layer 2 only for deep debugging** - higher overhead
+
+## Observational Equivalence
+
+The following commands produce equivalent profile reports:
+
+```bash
+# CLI direct
+praisonai "prompt" --profile
+
+# Profile command
+praisonai profile query "prompt"
+```
+
+Both use the same unified profiling architecture and produce identical schema output.

docs/profiling-module.md

@@ -0,0 +1,257 @@
+# Profiling Module
+
+PraisonAI provides a unified profiling module for programmatic performance analysis.
+
+## Quick Start
+
+```python
+from praisonai.cli.execution import (
+    ExecutionRequest,
+    Profiler,
+    ProfilerConfig,
+)
+
+# Create execution request
+request = ExecutionRequest(prompt="What is 2+2?")
+
+# Configure profiler
+config = ProfilerConfig(layer=1)
+
+# Run with profiling
+profiler = Profiler(config)
+result, report = profiler.profile_sync(request)
+
+# Access results
+print(f"Output: {result.output}")
+print(f"Total time: {report.timing.total_ms}ms")
+```
+
+## ExecutionRequest
+
+Immutable request descriptor for execution.
+
+```python
+from praisonai.cli.execution import ExecutionRequest
+
+# Basic request
+request = ExecutionRequest(prompt="Hello")
+
+# With model
+request = ExecutionRequest(
+    prompt="Hello",
+    model="gpt-4",
+    agent_name="MyAgent",
+)
+
+# With streaming
+request = ExecutionRequest(
+    prompt="Hello",
+    stream=True,
+)
+```
+
+### Parameters
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `prompt` | str | Required | The prompt to execute |
+| `agent_name` | str | "Assistant" | Name of the agent |
+| `agent_instructions` | str | None | Custom instructions |
+| `model` | str | None | Model to use |
+| `stream` | bool | False | Enable streaming |
+| `tools` | tuple | () | Tools to provide |
+
+## ProfilerConfig
+
+Configuration for profiling behavior.
+
+```python
+from praisonai.cli.execution import ProfilerConfig
+
+# Layer 0: Wall-clock only (< 1ms overhead)
+config = ProfilerConfig(layer=0)
+
+# Layer 1: + cProfile stats (~5% overhead)
+config = ProfilerConfig(layer=1)
+
+# Layer 2: + Call graph (~15% overhead)
+config = ProfilerConfig(
+    layer=2,
+    show_callers=True,
+    show_callees=True,
+)
+
+# From CLI flags
+config = ProfilerConfig.from_flags(
+    profile=True,
+    deep=True,
+    network=False,
+)
+```
+
+### Parameters
+
+| Parameter | Type | Default | Description |
+|-----------|------|---------|-------------|
+| `layer` | int | 1 | Profiling layer (0, 1, or 2) |
+| `limit` | int | 30 | Max functions to show |
+| `sort_by` | str | "cumulative" | Sort by: cumulative, time, calls |
+| `show_callers` | bool | False | Show caller functions |
+| `show_callees` | bool | False | Show callee functions |
+| `track_network` | bool | False | Track network requests |
+| `output_format` | str | "text" | Output format: text, json |
+| `save_path` | str | None | Path to save artifacts |
+
+## Profiler
+
+The main profiler class that wraps execution.
+
+```python
+from praisonai.cli.execution import Profiler, ProfilerConfig, ExecutionRequest
+
+config = ProfilerConfig(layer=1)
+profiler = Profiler(config)
+
+request = ExecutionRequest(prompt="Hello")
+result, report = profiler.profile_sync(request, invocation_method="api")
+```
+
+### Methods
+
+#### `profile_sync(request, invocation_method="profile_command")`
+
+Profile synchronous execution.
+
+**Parameters:**
+- `request`: ExecutionRequest - The execution request
+- `invocation_method`: str - How this was invoked (for report)
+
+**Returns:** Tuple of (ExecutionResult, ProfileReport)
+
+## ProfileReport
+
+The canonical profile report with timing and statistics.
+
+```python
+# Access timing breakdown
+print(f"Total: {report.timing.total_ms}ms")
+print(f"Imports: {report.timing.imports_ms}ms")
+print(f"Agent Init: {report.timing.agent_init_ms}ms")
+print(f"Execution: {report.timing.execution_ms}ms")
+
+# Access function stats (layer 1+)
+if report.functions:
+    for func in report.functions[:5]:
+        print(f"{func.name}: {func.cumulative_time_ms}ms")
+
+# Access call graph (layer 2)
+if report.call_graph:
+    print(f"Edges: {len(report.call_graph.edges)}")
+
+# Export formats
+json_str = report.to_json()
+text_str = report.to_text()
+dict_data = report.to_dict()
+```
+
+### Schema Version
+
+The report uses schema version `1.0`. Schema is frozen after release - new fields are always optional with defaults.
+
+### Mandatory Fields
+
+- `schema_version`: str
+- `run_id`: str
+- `timestamp`: str (ISO 8601)
+- `invocation`: InvocationInfo
+- `timing`: TimingBreakdown
+- `response_preview`: str
+
+### Optional Fields
+
+- `functions`: List[FunctionStat] (layer 1+)
+- `call_graph`: CallGraph (layer 2)
+- `network`: List[RequestTiming] (if track_network)
+
+## ExecutionResult
+
+Result of execution with output and metadata.
+
+```python
+# Access output
+print(result.output)
+print(result.success)
+print(result.run_id)
+
+# Check for errors
+if result.error:
+    print(f"Error: {result.error}")
+
+# Duration
+print(f"Duration: {result.duration_ms}ms")
+```
+
+## Data Bounds
+
+Profile data is strictly bounded to prevent memory issues:
+
+| Data Type | Maximum |
+|-----------|---------|
+| Function stats | 1000 |
+| Call graph edges | 5000 |
+| Network requests | 100 |
+
+## Example: Full Profiling Workflow
+
+```python
+from praisonai.cli.execution import (
+    ExecutionRequest,
+    Profiler,
+    ProfilerConfig,
+)
+
+# Configure deep profiling
+config = ProfilerConfig(
+    layer=2,
+    limit=50,
+    show_callers=True,
+    show_callees=True,
+)
+
+# Create request
+request = ExecutionRequest(
+    prompt="Explain quantum computing in simple terms",
+    model="gpt-4",
+)
+
+# Profile execution
+profiler = Profiler(config)
+result, report = profiler.profile_sync(request)
+
+# Print text report
+print(report.to_text())
+
+# Save JSON report
+with open("profile.json", "w") as f:
+    f.write(report.to_json())
+
+# Analyze timing
+print(f"\nTiming Analysis:")
+print(f"  Import overhead: {report.timing.imports_ms / report.timing.total_ms * 100:.1f}%")
+print(f"  Execution time: {report.timing.execution_ms / report.timing.total_ms * 100:.1f}%")
+
+# Top 5 hotspots
+if report.functions:
+    print(f"\nTop 5 Hotspots:")
+    for func in report.functions[:5]:
+        print(f"  {func.name}: {func.cumulative_time_ms:.2f}ms ({func.calls} calls)")
+```
+
+## Invariants
+
+The profiling module guarantees:
+
+1. **Output Equivalence**: Profiled execution produces identical output to non-profiled execution
+2. **Schema Stability**: Schema version 1.0 is frozen; new fields are always optional
+3. **Bounded Data**: All profile data respects maximum bounds
+4. **Zero Overhead When Disabled**: No profiling code runs unless explicitly enabled

docs/templates-cli.md

@@ -0,0 +1,53 @@
+# Templates CLI
+
+```bash
+praisonai templates list
+```
+
+```bash
+praisonai templates search video
+```
+
+```bash
+praisonai templates info ai-video-editor
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --output edited.mp4
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --output edited.mp4 --offline
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --output edited.mp4 --strict-tools
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --tools ./my_tools.py
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --tools-dir ./tools
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --tools-source praisonai_tools.video
+```
+
+```bash
+praisonai templates run ai-video-editor --input video.mp4 --no-template-tools-py
+```
+
+```bash
+praisonai templates init my-project --template ai-video-editor
+```
+
+```bash
+praisonai templates cache clear
+```
+
+```bash
+praisonai templates cache list
+```

docs/templates-module.md

@@ -0,0 +1,104 @@
+# Templates Module
+
+## Loading Templates
+
+```python
+from praisonai.templates.loader import TemplateLoader
+
+loader = TemplateLoader()
+
+# Load from local path
+template = loader.load("./my-template")
+
+# Load from URI
+template = loader.load("ai-video-editor")
+
+# Load offline
+template = loader.load("ai-video-editor", offline=True)
+
+# Check requirements
+missing = loader.check_requirements(template)
+```
+
+## Template Discovery
+
+```python
+from praisonai.templates.discovery import TemplateDiscovery
+
+discovery = TemplateDiscovery(
+    include_package=True,
+    include_defaults=True,
+)
+
+# Find template
+result = discovery.find_template("ai-video-editor")
+
+# List all templates
+templates = discovery.list_templates()
+```
+
+## Template Config
+
+```python
+from praisonai.templates.loader import TemplateConfig
+
+# Access template properties
+template.name
+template.description
+template.version
+template.author
+template.requires
+template.workflow_file
+template.agents_file
+template.path
+```
+
+## Tool Override Integration
+
+```python
+from praisonai.templates.tool_override import (
+    create_tool_registry_with_overrides,
+    resolve_tools,
+)
+
+# Build registry with template sources
+tools_sources = template.requires.get("tools_sources", [])
+
+registry = create_tool_registry_with_overrides(
+    tools_sources=tools_sources,
+    template_dir=str(template.path),
+    include_defaults=True,
+)
+
+# Resolve tool names
+tools = resolve_tools(["shell_tool"], registry=registry)
+```
+
+## TEMPLATE.yaml Schema
+
+```yaml
+name: my-template
+version: "1.0.0"
+description: Template description
+
+requires:
+  tools: [shell_tool]
+  packages: [praisonai-tools]
+  env: [OPENAI_API_KEY]
+  tools_sources:
+    - praisonai_tools.video
+    - ./local_tools.py
+
+workflow: workflow.yaml
+agents: agents.yaml
+
+config:
+  input:
+    type: string
+    required: true
+  output:
+    type: string
+
+defaults:
+  preset: podcast
+```

docs/tools-cli.md

@@ -0,0 +1,65 @@
+# Tools CLI
+
+```bash
+praisonai tools list
+```
+
+```bash
+praisonai tools info shell_tool
+```
+
+```bash
+praisonai tools info internet_search
+```
+
+```bash
+praisonai tools search "web"
+```
+
+```bash
+praisonai tools search "file"
+```
+
+```bash
+praisonai tools doctor
+```
+
+```bash
+praisonai tools doctor --json
+```
+
+```bash
+praisonai tools resolve shell_tool
+```
+
+```bash
+praisonai tools resolve internet_search --template ai-video-editor
+```
+
+```bash
+praisonai tools resolve my_tool --tools ./my_tools.py
+```
+
+```bash
+praisonai tools resolve my_tool --tools-dir ./tools
+```
+
+```bash
+praisonai tools discover
+```
+
+```bash
+praisonai tools discover --include praisonai_tools.video
+```
+
+```bash
+praisonai tools discover --entrypoints
+```
+
+```bash
+praisonai tools show-sources
+```
+
+```bash
+praisonai tools show-sources --template ai-video-editor
+```

docs/tools-module.md

@@ -0,0 +1,90 @@
+# Tools Module
+
+## Tool Registry
+
+```python
+from praisonai.templates.tool_override import (
+    create_tool_registry_with_overrides,
+    resolve_tools,
+)
+
+# Create registry with defaults
+registry = create_tool_registry_with_overrides(include_defaults=True)
+
+# Create registry with overrides
+registry = create_tool_registry_with_overrides(
+    override_files=["my_tools.py"],
+    override_dirs=["./tools"],
+    include_defaults=True,
+)
+
+# Create registry with tools_sources
+registry = create_tool_registry_with_overrides(
+    tools_sources=["praisonai_tools.video"],
+    template_dir="./my-template",
+    include_defaults=True,
+)
+
+# Resolve tool names to callables
+tools = resolve_tools(
+    ["shell_tool", "internet_search"],
+    registry=registry,
+)
+```
+
+## Tool Override Loader
+
+```python
+from praisonai.templates.tool_override import ToolOverrideLoader
+
+loader = ToolOverrideLoader()
+
+# Load from file
+tools = loader.load_from_file("my_tools.py")
+
+# Load from directory
+tools = loader.load_from_directory("./tools")
+
+# Load from module
+tools = loader.load_from_module("praisonai_tools.video")
+
+# Get default tool directories
+dirs = loader.get_default_tool_dirs()
+```
+
+## Resolution Order
+
+1. CLI `--tools` files (highest priority)
+2. CLI `--tools-dir` directories
+3. Template `tools_sources` (from TEMPLATE.yaml)
+4. Template-local `tools.py`
+5. Default dirs (`~/.praison/tools`, `~/.config/praison/tools`)
+6. Package discovery (`praisonai_tools`)
+7. Built-in tools (lowest priority)
+
+## Creating Custom Tools
+
+```python
+from praisonai_tools import tool
+
+@tool
+def my_custom_tool(query: str) -> str:
+    """My custom tool description.
+    
+    Args:
+        query: The search query
+    """
+    return f"Result for: {query}"
+```
+
+## Template tools_sources
+
+```yaml
+# TEMPLATE.yaml
+requires:
+  tools: [shell_tool]
+  tools_sources:
+    - praisonai_tools.video
+    - ./local_tools.py
+    - ./tools_dir/
+```

examples/README.md

@@ -23,7 +23,6 @@ examples/
 
 | Category | Examples | Docs |
 |----------|----------|------|
-| **Consolidated Params** | [consolidated_params/](consolidated_params/) | [📖](https://docs.praison.ai/api/consolidated-params) |
 | **Agents** | [python/agents/](python/agents/) | [📖](https://docs.praison.ai/concepts/agents) |
 | **Workflows** | [python/workflows/](python/workflows/) | [📖](https://docs.praison.ai/features/workflows) |
 | **Model Router** | [python/agents/router-agent-cost-optimization.py](python/agents/router-agent-cost-optimization.py) | [📖](https://docs.praison.ai/features/model-router) |
@@ -36,21 +35,6 @@ examples/
 | **Serve** | [serve/](serve/) | [📖](https://docs.praison.ai/cli/serve) |
 | **Endpoints** | [serve/](serve/) | [📖](https://docs.praison.ai/cli/endpoints) |
 
-## Consolidated Params Examples
-
-Agent-centric API with unified parameter resolution. Precedence: Instance > Config > Array > Dict > String > Bool > Default
-
-| Example | Description |
-|---------|-------------|
-| [basic_agent.py](consolidated_params/basic_agent.py) | Minimal agent with memory |
-| [basic_agents.py](consolidated_params/basic_agents.py) | Multi-agent with memory+planning |
-| [basic_workflow.py](consolidated_params/basic_workflow.py) | Workflow with consolidated params |
-| [basic_memory.py](consolidated_params/basic_memory.py) | Memory presets (file, redis, postgres) |
-| [basic_guardrails.py](consolidated_params/basic_guardrails.py) | Guardrails with callable or config |
-| [basic_workflow_agentlike.py](consolidated_params/basic_workflow_agentlike.py) | Workflow with agent-like params |
-| [basic_step_override.py](consolidated_params/basic_step_override.py) | Step-level override of workflow defaults |
-| [advanced_workflow_full_features.py](consolidated_params/advanced_workflow_full_features.py) | All consolidated params |
-
 ## Serve Examples
 
 | Example | Description | CLI Command |

examples/ag2/ag2_basic.yaml

@@ -1,30 +0,0 @@
-framework: ag2
-topic: "Research the latest developments in AI agents"
-
-# Install: pip install "praisonai[ag2]"
-# Run:     praisonai --framework ag2 examples/ag2/ag2_basic.yaml
-#       or praisonai run examples/ag2/ag2_basic.yaml --framework ag2
-
-roles:
-  research_agent:
-    role: "AI Research Specialist"
-    goal: "Research and summarise the latest developments in AI agent frameworks"
-    backstory: |
-      You are an experienced AI researcher with deep knowledge of multi-agent
-      systems, large language models, and the latest trends in AI tooling.
-      You excel at synthesising complex technical topics into clear summaries.
-    tasks:
-      research_task:
-        description: |
-          Research and summarise the latest developments in AI agent frameworks
-          for the topic: {topic}
-
-          Focus on:
-          1. Key frameworks and their unique capabilities
-          2. Recent innovations and improvements
-          3. Community adoption and ecosystem growth
-          4. Practical use cases and success stories
-        expected_output: |
-          A concise research summary covering the key developments,
-          major frameworks, and practical insights. Include 3-5 bullet
-          points of the most important findings.

examples/ag2/ag2_bedrock.yaml

@@ -1,42 +0,0 @@
-framework: ag2
-topic: "Cloud-native AI deployment strategies on AWS"
-
-# AG2 exclusive feature: native AWS Bedrock support via LLMConfig(api_type="bedrock")
-#
-# Prerequisites:
-#   pip install "praisonai[ag2]"
-#   aws configure  (or set AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION)
-#
-# Run:
-#   praisonai --framework ag2 examples/ag2/ag2_bedrock.yaml
-#
-# The AG2 adapter detects api_type="bedrock" from the llm config and uses
-# LLMConfig(api_type="bedrock", model=...) — no OPENAI_API_KEY required.
-# AWS credentials are sourced from boto3 (env vars, ~/.aws/credentials, IAM role).
-
-roles:
-  cloud_architect:
-    role: "AWS Cloud Architect"
-    goal: "Design and explain cloud-native AI deployment strategies on AWS"
-    backstory: |
-      You are an AWS Solutions Architect specialising in AI/ML workloads.
-      You have deep expertise in Amazon Bedrock, SageMaker, ECS, and Lambda,
-      and you help organisations deploy AI agents at scale securely and cost-effectively.
-    llm:
-      model: "bedrock/anthropic.claude-3-5-sonnet-20241022-v2:0"
-      api_type: "bedrock"
-      aws_region: "us-east-1"
-    tasks:
-      architecture_task:
-        description: |
-          Design a cloud-native deployment strategy for AI agents on AWS for: {topic}
-
-          Cover:
-          1. Recommended AWS services (Bedrock, ECS, Lambda, etc.)
-          2. Scalability and cost optimisation patterns
-          3. Security and compliance considerations
-          4. A simple reference architecture overview
-        expected_output: |
-          A concise architecture guide with service recommendations,
-          a high-level deployment diagram description, and key
-          best practices for production AI agent deployments on AWS.

examples/ag2/ag2_multi_agent.yaml

@@ -1,54 +0,0 @@
-framework: ag2
-topic: "The impact of open-source AI on enterprise software development"
-
-# Install: pip install "praisonai[ag2]"
-# Run:     praisonai --framework ag2 examples/ag2/ag2_multi_agent.yaml
-#       or praisonai run examples/ag2/ag2_multi_agent.yaml --framework ag2
-#
-# This example demonstrates AG2's GroupChat multi-agent coordination.
-# Both agents participate in a collaborative conversation managed by
-# a GroupChatManager until the task is complete.
-
-roles:
-  researcher:
-    role: "Research Specialist"
-    goal: "Gather and analyse information on the given topic"
-    backstory: |
-      You are a meticulous researcher who excels at finding relevant
-      information, analysing trends, and presenting data-backed insights.
-      You always cite your reasoning and structure your findings clearly.
-    tasks:
-      research_task:
-        description: |
-          Research the topic: {topic}
-
-          Investigate:
-          1. Current state and adoption rates
-          2. Key players and projects driving the trend
-          3. Technical advantages and challenges
-          4. Business impact and cost implications
-        expected_output: |
-          A structured research briefing with findings on the topic,
-          including key data points, trends, and technical observations.
-
-  writer:
-    role: "Technical Content Writer"
-    goal: "Transform research findings into clear, engaging written content"
-    backstory: |
-      You are a skilled technical writer who turns complex research into
-      accessible, well-structured articles. You focus on clarity, logical
-      flow, and actionable takeaways for a professional audience.
-    tasks:
-      writing_task:
-        description: |
-          Using the research findings provided by the Research Specialist,
-          write a concise article on: {topic}
-
-          The article should:
-          1. Open with a compelling hook
-          2. Present key findings logically
-          3. Include practical implications for developers
-          4. Close with a forward-looking conclusion
-        expected_output: |
-          A 400-500 word article suitable for a technical blog,
-          with clear sections, professional tone, and concrete takeaways.

examples/agent_centric_api.py

@@ -1,244 +0,0 @@
-"""
-Agent-Centric API Example
-
-Demonstrates the consolidated feature parameters for PraisonAI Agents.
-These params provide a cleaner, more intuitive API with progressive disclosure.
-
-Precedence Rule: Instance > Config > Array > String > Bool > Default
-
-Consolidated Params Support:
-- memory: bool | str URL | str preset | [preset, overrides] | MemoryConfig | Instance
-- knowledge: bool | str path | [sources...] | KnowledgeConfig | Instance
-- planning: bool | str LLM | [preset, overrides] | PlanningConfig
-- reflection: bool | str preset | [preset, overrides] | ReflectionConfig
-- guardrails: bool | callable | str prompt | GuardrailConfig
-- web: bool | str provider | [provider, overrides] | WebConfig
-- output: str preset | [preset, overrides] | OutputConfig
-- execution: str preset | [preset, overrides] | ExecutionConfig
-"""
-
-from praisonaiagents import (
-    Agent,
-    # Config classes for progressive disclosure
-    MemoryConfig,
-    KnowledgeConfig,
-    PlanningConfig,
-    ReflectionConfig,
-    GuardrailConfig,
-    WebConfig,
-)
-
-
-def example_simple_enable():
-    """Example 1: Simple boolean enable (easiest)"""
-    print("\n=== Example 1: Simple Boolean Enable ===")
-    
-    agent = Agent(
-        instructions="You are a helpful assistant",
-        memory=True,      # Enable memory with defaults
-        reflection=True,  # Enable self-reflection
-        web=WebConfig(fetch=False),         # Enable web search + fetch
-    )
-    print(f"Agent created with memory={agent._memory_instance is not None}")
-    print(f"  self_reflect={agent.self_reflect}")
-    print(f"  web_search={agent.web_search}")
-
-
-def example_with_config():
-    """Example 2: Using config objects (more control)"""
-    print("\n=== Example 2: Using Config Objects ===")
-    
-    agent = Agent(
-        instructions="You are a research assistant",
-        memory=MemoryConfig(
-            backend="file",
-            user_id="researcher_001",
-            auto_memory=True,
-        ),
-        reflection=ReflectionConfig(
-            min_iterations=1,
-            max_iterations=5,
-            llm="gpt-4o-mini",
-        ),
-        web=WebConfig(
-            search=True,
-            fetch=False,  # Only search, no full page fetch
-            max_results=3,
-        ),
-    )
-    print(f"Agent created with user_id={agent.user_id}")
-    print(f"  {agent.max_reflect}")
-    print(f"  web_search={agent.web_search}, web_fetch={agent.web_fetch}")
-
-
-def example_guardrails():
-    """Example 3: Guardrails with callable or config"""
-    print("\n=== Example 3: Guardrails ===")
-    
-    # Option A: Direct callable
-    def my_validator(output):
-        """Simple validator that checks response length."""
-        is_valid = len(output.raw) < 1000
-        return (is_valid, output if is_valid else "Response too long")
-    
-    agent_a = Agent(
-        instructions="Be concise",
-        guardrails=my_validator,  # Direct callable
-    )
-    print(f"Agent A: guardrail is callable = {callable(agent_a.guardrail)}")
-    
-    # Option B: Using GuardrailConfig
-    agent_b = Agent(
-        instructions="Be helpful and safe",
-        guardrails=GuardrailConfig(
-            llm_validator="Ensure the response is helpful, accurate, and safe",
-            max_retries=3,
-        ),
-    )
-    print(f"Agent B: guardrail = {agent_b.guardrail}")
-    print(f"  max_retries = {agent_b.max_guardrail_retries}")
-
-
-def example_planning():
-    """Example 4: Planning mode"""
-    print("\n=== Example 4: Planning Mode ===")
-    
-    agent = Agent(
-        instructions="You are a project planner",
-        planning=PlanningConfig(
-            reasoning=True,
-            read_only=True,  # Plan mode - only read operations
-        ),
-    )
-    print(f"Agent created with planning={agent.planning}")
-    print(f"  plan_mode={agent.plan_mode}")
-    print(f"  planning_reasoning={agent.planning_reasoning}")
-
-
-def example_backward_compatible():
-    """Example 5: Using new consolidated params"""
-    print("\n=== Example 5: Consolidated Params ===")
-    
-    # New consolidated params
-    agent = Agent(
-        instructions="Test agent",
-        reflection=True,
-        web=WebConfig(search=True, fetch=False),
-    )
-    print(f"Consolidated params work: self_reflect={agent.self_reflect}")
-    print(f"  web_search={agent.web_search}, web_fetch={agent.web_fetch}")
-
-
-def example_real_chat():
-    """Example 6: Real chat with new API"""
-    print("\n=== Example 6: Real Chat ===")
-    
-    agent = Agent(
-        instructions="You are a helpful math tutor. Be concise.",
-        reflection=False,
-        web=False,
-    )
-    
-    response = agent.start("What is the square root of 144?")
-    print(f"Response: {response}")
-
-
-def example_string_presets():
-    """Example 7: String presets (NEW - user-friendly shortcuts)"""
-    print("\n=== Example 7: String Presets ===")
-    
-    # Output presets: minimal, normal, verbose, debug, silent
-    agent = Agent(
-        instructions="You are a verbose assistant",
-        output="verbose",      # String preset for output
-        execution="fast",      # String preset for execution
-        web=["tavily", {"fetch": False}],          # String preset with override for web provider
-    )
-    print(f"Output preset 'verbose': verbose={agent.verbose}, metrics={agent.metrics}")
-    print(f"Execution preset 'fast': max_iter={agent.max_iter}")
-    print(f"Web preset 'tavily': web_search={agent.web_search}")
-
-
-def example_array_overrides():
-    """Example 8: Array with overrides (NEW - preset + customization)"""
-    print("\n=== Example 8: Array Overrides ===")
-    
-    # Array format: [preset, {overrides}]
-    agent = Agent(
-        instructions="You are a streaming assistant",
-        output=["verbose", {"stream": True}],      # Verbose preset + enable streaming
-        execution=["fast", {"max_iter": 15}],      # Fast preset + custom max_iter
-    )
-    print(f"Output array override: verbose={agent.verbose}, stream={agent.stream}")
-    print(f"Execution array override: max_iter={agent.max_iter}")
-
-
-def example_url_parsing():
-    """Example 9: URL parsing for memory (NEW - connection strings)"""
-    print("\n=== Example 9: URL Parsing ===")
-    
-    # Memory supports URL connection strings
-    # Supported: postgresql://, redis://, sqlite:///, mongodb://
-    agent = Agent(
-        instructions="You are a database-backed assistant",
-        memory="postgresql://postgres:password@localhost:5432/praisonai",
-    )
-    print("Memory URL parsed: memory enabled")
-    
-    # Also works with presets
-    agent2 = Agent(
-        instructions="You are a redis-backed assistant",
-        memory="redis",  # Preset name
-    )
-    print("Memory preset 'redis': configured")
-
-
-def example_knowledge_sources():
-    """Example 10: Knowledge with sources (list and string)"""
-    print("\n=== Example 10: Knowledge Sources ===")
-    
-    # Single path string
-    agent1 = Agent(
-        instructions="You are a document assistant",
-        knowledge="docs/",  # Single path
-    )
-    print(f"Knowledge single path: knowledge={agent1.knowledge}")
-    
-    # List of sources
-    agent2 = Agent(
-        instructions="You are a multi-source assistant",
-        knowledge=["docs/", "data.pdf", "https://example.com/api"],
-    )
-    print(f"Knowledge list: knowledge={agent2.knowledge}")
-    
-    # With config for advanced settings
-    agent3 = Agent(
-        instructions="You are an advanced RAG assistant",
-        knowledge=KnowledgeConfig(
-            sources=["docs/"],
-            retrieval_k=10,
-            rerank=True,
-        ),
-    )
-    print("Knowledge config: configured with rerank")
-
-
-if __name__ == "__main__":
-    print("=" * 60)
-    print("PraisonAI Agent-Centric API Examples")
-    print("=" * 60)
-    
-    example_simple_enable()
-    example_with_config()
-    example_guardrails()
-    example_planning()
-    example_backward_compatible()
-    example_real_chat()
-    example_string_presets()
-    example_array_overrides()
-    example_url_parsing()
-    example_knowledge_sources()
-    
-    print("\n" + "=" * 60)
-    print("All examples completed!")
-    print("=" * 60)

examples/agent_tools/agent_centric_example.py

@@ -75,7 +75,7 @@ async def main():
             Use read_file to read files.
             Use list_files to list directory contents.""",
             tools=tools,
-            output="verbose"  # Use new consolidated param
+            verbose=True
         )
         print()
         

examples/approval/README.md

@@ -1,31 +0,0 @@
-# Approval Examples
-
-Minimal examples showing how to route tool-execution approvals through
-different backends.
-
-## Quick Start
-
-```bash
-pip install praisonaiagents praisonai[bot]
-export OPENAI_API_KEY=sk-...
-```
-
-| Backend  | Script               | Extra env vars                                   |
-|----------|-----------------------|--------------------------------------------------|
-| Slack    | `slack_approval.py`   | `SLACK_BOT_TOKEN`, `SLACK_CHANNEL`               |
-| Telegram | `telegram_approval.py`| `TELEGRAM_BOT_TOKEN`, `TELEGRAM_CHAT_ID`         |
-| Discord  | `discord_approval.py` | `DISCORD_BOT_TOKEN`, `DISCORD_CHANNEL_ID`        |
-| HTTP     | `http_approval.py`    | *(none — opens a local web dashboard)*           |
-| Agent    | `agent_approval.py`   | *(none — AI reviewer agent decides)*             |
-
-## SSL Verification
-
-For corporate proxy / CA issues, Discord and Telegram backends support
-optional SSL bypass:
-
-```bash
-export PRAISONAI_DISCORD_SSL_VERIFY=false
-export PRAISONAI_TELEGRAM_SSL_VERIFY=false
-```
-
-Default is `true` (secure).

examples/approval/agent_approval.py

@@ -1,26 +0,0 @@
-"""
-Agent Approval Example
-======================
-Uses an AI agent as an automated reviewer to approve/deny tool calls.
-
-Requires:
-    pip install praisonaiagents
-    export OPENAI_API_KEY=sk-...
-"""
-
-from praisonaiagents import Agent
-from praisonaiagents.approval import AgentApproval
-from praisonaiagents.tools.shell_tools import execute_command
-
-reviewer = AgentApproval(
-    instructions="Only approve read-only commands like 'ls' or 'cat'. Deny destructive commands.",
-)
-
-agent = Agent(
-    name="DevOps",
-    instructions="You are a DevOps assistant. Use shell tools when asked.",
-    tools=[execute_command],
-    approval=reviewer,
-)
-
-agent.start("List files in the current directory")

examples/approval/discord_approval.py

@@ -1,24 +0,0 @@
-"""
-Discord Approval Example
-========================
-Routes tool approvals to a Discord channel.
-
-Requires:
-    pip install praisonaiagents praisonai[bot]
-    export DISCORD_BOT_TOKEN=MTIz...
-    export DISCORD_CHANNEL_ID=1234567890
-    export OPENAI_API_KEY=sk-...
-"""
-
-from praisonaiagents import Agent
-from praisonaiagents.tools.shell_tools import execute_command
-from praisonai.bots import DiscordApproval
-
-agent = Agent(
-    name="DevOps",
-    instructions="You are a DevOps assistant. Use shell tools when asked.",
-    tools=[execute_command],
-    approval=DiscordApproval(),
-)
-
-agent.start("List files in the current directory")

examples/approval/http_approval.py

@@ -1,22 +0,0 @@
-"""
-HTTP Approval Example
-=====================
-Opens a local web dashboard for tool approvals.
-
-Requires:
-    pip install praisonaiagents praisonai[bot]
-    export OPENAI_API_KEY=sk-...
-"""
-
-from praisonaiagents import Agent
-from praisonaiagents.tools.shell_tools import execute_command
-from praisonai.bots import HTTPApproval
-
-agent = Agent(
-    name="DevOps",
-    instructions="You are a DevOps assistant. Use shell tools when asked.",
-    tools=[execute_command],
-    approval=HTTPApproval(),
-)
-
-agent.start("List files in the current directory")

examples/approval/slack_approval.py

@@ -1,24 +0,0 @@
-"""
-Slack Approval Example
-======================
-Routes tool approvals to a Slack channel.
-
-Requires:
-    pip install praisonaiagents praisonai[bot]
-    export SLACK_BOT_TOKEN=xoxb-...
-    export SLACK_CHANNEL=C0123456789
-    export OPENAI_API_KEY=sk-...
-"""
-
-from praisonaiagents import Agent
-from praisonaiagents.tools.shell_tools import execute_command
-from praisonai.bots import SlackApproval
-
-agent = Agent(
-    name="DevOps",
-    instructions="You are a DevOps assistant. Use shell tools when asked.",
-    tools=[execute_command],
-    approval=SlackApproval(),
-)
-
-agent.start("List files in the current directory")

examples/approval/telegram_approval.py

@@ -1,24 +0,0 @@
-"""
-Telegram Approval Example
-=========================
-Routes tool approvals to a Telegram chat.
-
-Requires:
-    pip install praisonaiagents praisonai[bot]
-    export TELEGRAM_BOT_TOKEN=123456:ABC-...
-    export TELEGRAM_CHAT_ID=987654321
-    export OPENAI_API_KEY=sk-...
-"""
-
-from praisonaiagents import Agent
-from praisonaiagents.tools.shell_tools import execute_command
-from praisonai.bots import TelegramApproval
-
-agent = Agent(
-    name="DevOps",
-    instructions="You are a DevOps assistant. Use shell tools when asked.",
-    tools=[execute_command],
-    approval=TelegramApproval(),
-)
-
-agent.start("List files in the current directory")

examples/background/basic_background.py

@@ -2,10 +2,10 @@
 """
 Basic Background Tasks Example for PraisonAI Agents.
 
-This example demonstrates how to use the background task system with Agent:
-1. Create an Agent with background task support
-2. Run agent tasks asynchronously
-3. Track task progress
+This example demonstrates how to use the background task system to:
+1. Run tasks asynchronously
+2. Track task progress
+3. Cancel running tasks
 4. Handle task completion
 
 Usage:
@@ -13,73 +13,71 @@ Usage:
 """
 
 import asyncio
-from praisonaiagents import Agent
+import time
+
 from praisonaiagents.background import BackgroundRunner, BackgroundConfig, TaskStatus
 
 
 async def main():
     print("=" * 60)
-    print("Agent-Centric Background Tasks Demo")
+    print("Background Tasks Demo")
     print("=" * 60)
     
-    # Create a background runner with config (used standalone, not passed to Agent)
-    runner = BackgroundRunner(config=BackgroundConfig(max_concurrent_tasks=3))
-    
-    # Create an Agent
-    agent = Agent(
-        name="AsyncAssistant",
-        instructions="You are a helpful research assistant.",
-    )
-    
-    print("\n--- Agent with Background Support Created ---")
-    print(f"Agent: {agent.name}")
-    print(f"Background runner: {runner is not None}")
+    # Create a background runner with config
+    config = BackgroundConfig(max_concurrent_tasks=3)
+    runner = BackgroundRunner(config=config)
     
     # Define some example tasks
-    async def research_task(topic: str) -> str:
-        """Simulate a research task."""
-        print(f"  🔄 Researching '{topic}'...")
-        await asyncio.sleep(1.5)
-        return f"Research on '{topic}' completed with 5 key findings"
+    def slow_task(duration: float, name: str) -> str:
+        """A slow task that simulates work."""
+        print(f"  🔄 Task '{name}' starting (will take {duration}s)")
+        time.sleep(duration)
+        return f"Task '{name}' completed after {duration}s"
     
-    async def analysis_task(data: str) -> str:
-        """Simulate an analysis task."""
-        print(f"  🔄 Analyzing data...")
-        await asyncio.sleep(1.0)
-        return f"Analysis complete: {data}"
+    async def async_task(duration: float, name: str) -> str:
+        """An async task that simulates work."""
+        print(f"  🔄 Async task '{name}' starting (will take {duration}s)")
+        await asyncio.sleep(duration)
+        return f"Async task '{name}' completed after {duration}s"
     
-    # Submit tasks via background runner
-    print("\n--- Submitting Background Tasks ---")
+    # Submit tasks
+    print("\n--- Submitting Tasks ---")
     
-    task1 = await runner.submit(
-        research_task, 
-        args=("AI trends 2025",), 
-        name="research_ai"
-    )
-    print(f"✅ Submitted research task: {task1.id[:8]}")
+    task1 = await runner.submit(slow_task, args=(1.0, "quick-job"), name="task1")
+    print(f"✅ Submitted task 1: {task1.id[:8]}")
     
-    task2 = await runner.submit(
-        analysis_task, 
-        args=("market data",), 
-        name="analyze_market"
-    )
-    print(f"✅ Submitted analysis task: {task2.id[:8]}")
+    task2 = await runner.submit(slow_task, args=(2.0, "medium-job"), name="task2")
+    print(f"✅ Submitted task 2: {task2.id[:8]}")
+    
+    task3 = await runner.submit(async_task, args=(1.5, "async-job"), name="task3")
+    print(f"✅ Submitted async task 3: {task3.id[:8]}")
     
     # List all tasks
     print("\n--- Task Status ---")
     for task in runner.tasks:
         print(f"  [{task.id[:8]}] {task.status.value}")
     
-    # Wait for tasks to complete
-    print("\n--- Waiting for Tasks ---")
-    await task1.wait(timeout=10.0)
-    await task2.wait(timeout=10.0)
+    # Wait for task 1 to complete
+    print("\n--- Waiting for Task 1 ---")
+    await task1.wait(timeout=5.0)
+    print(f"✅ Task 1 result: {task1.result}")
     
-    # Final results
-    print("\n--- Results ---")
-    for task in [task1, task2]:
-        status = "✅" if task.status == TaskStatus.COMPLETED else "❌"
-        print(f"  {status} {task.result}")
+    # Check status of all tasks
+    print("\n--- Updated Task Status ---")
+    for task in [task1, task2, task3]:
+        status = "✅" if task.status == TaskStatus.COMPLETED else "🔄"
+        print(f"  {status} [{task.id[:8]}] {task.status.value}")
+    
+    # Wait for all remaining tasks
+    print("\n--- Waiting for All Tasks ---")
+    await task2.wait(timeout=10.0)
+    await task3.wait(timeout=10.0)
+    
+    # Final status
+    print("\n--- Final Results ---")
+    for task in [task1, task2, task3]:
+        if task.result:
+            print(f"  ✅ {task.result}")
     
     # Cleanup
     runner.clear_completed()

examples/basic/calculator_with_tests.py

@@ -1,23 +0,0 @@
-"""Calculator with Tests - Editor Output Example.
-
-Builds a calculator module, writes unit tests, runs them, generates a
-coverage-style report, and reads it back.
-"""
-from praisonaiagents import Agent
-from praisonaiagents.tools import (
-    write_file, read_file, execute_command
-)
-
-agent = Agent(
-    instructions="You are a helpful coding assistant.",
-    output="editor",
-    tools=[write_file, read_file, execute_command],
-    approval=True,
-)
-agent.start(
-    "Build a mini calculator - create /tmp/calculator.py with add, subtract, "
-    "multiply, divide functions, write unit tests in /tmp/test_calculator.py "
-    "using unittest, run the tests to make sure they pass, then generate a "
-    "coverage-style report in /tmp/calc_report.md listing which functions were "
-    "tested and read it back"
-)

examples/basic/fibonacci.py

@@ -1,22 +0,0 @@
-"""Fibonacci Generator - Editor Output Example.
-
-Creates a Fibonacci script, runs it, writes a summary, and reads back
-both files to verify everything looks good.
-"""
-from praisonaiagents import Agent
-from praisonaiagents.tools import (
-    write_file, read_file, execute_command, list_files
-)
-
-agent = Agent(
-    instructions="You are a helpful coding assistant.",
-    output="editor",
-    tools=[write_file, read_file, execute_command, list_files],
-    approval=False,
-)
-agent.start(
-    "Create a Python file at /tmp/fibonacci.py that generates the first 20 "
-    "Fibonacci numbers, run it to verify the output is correct, then write "
-    "a summary to /tmp/fib_summary.md explaining the algorithm you used and "
-    "the output, finally read back both files to confirm everything looks good"
-)

examples/basic/multi_step_research.py

@@ -1,36 +0,0 @@
-"""Multi-Step Research - Editor Output Example.
-
-Researches Python frameworks, creates comparison code, runs it, writes a
-markdown report, reads it back, lists files, and gets system info.
-"""
-from praisonaiagents import Agent
-from praisonaiagents.tools import (
-    write_file, read_file, execute_command, list_files, get_system_info
-)
-
-try:
-    from praisonaiagents.tools import web_search
-    tools = [web_search, write_file, read_file, execute_command,
-             list_files, get_system_info]
-except ImportError:
-    tools = [write_file, read_file, execute_command,
-             list_files, get_system_info]
-
-agent = Agent(
-    instructions="You are a helpful research assistant.",
-    output="editor",
-    tools=tools,
-    approval=False,
-)
-agent.start(
-    "Research the top 3 Python web frameworks (Django, FastAPI, Flask), then: "
-    "1) Search the web for each framework's latest version and key features, "
-    "2) Create a file called /tmp/framework_comparison.py that contains a "
-    "Python dictionary with the comparison data, "
-    "3) Execute the code to verify the dictionary is valid, "
-    "4) Write a markdown report to /tmp/framework_report.md summarizing your "
-    "findings in a table format, "
-    "5) Read back the report file to verify it was written correctly, "
-    "6) List the files in /tmp to confirm both files exist, "
-    "7) Get system info to note what OS this report was generated on"
-)

examples/basic/system_audit.py

@@ -1,21 +0,0 @@
-"""System Audit - Editor Output Example.
-
-Runs system commands, gathers info, writes a report, and reads it back.
-"""
-from praisonaiagents import Agent
-from praisonaiagents.tools import (
-    write_file, read_file, execute_command
-)
-
-agent = Agent(
-    instructions="You are a helpful system administration assistant.",
-    output="editor",
-    tools=[write_file, read_file, execute_command],
-    approval=True,
-)
-agent.start(
-    "Investigate my system - get the current date, check disk usage, find out "
-    "what Python version is installed, list running processes sorted by memory, "
-    "then write all findings to /tmp/system_audit.md as a neat report and read "
-    "it back to verify"
-)

examples/basic/weather_search.py

@@ -1,28 +0,0 @@
-"""Weather Search - Editor Output Example.
-
-Searches for weather, creates JSON data, writes a parser script, executes
-it, and lists created files.
-"""
-from praisonaiagents import Agent
-from praisonaiagents.tools import (
-    write_file, execute_command, list_files
-)
-
-try:
-    from praisonaiagents.tools import web_search
-    tools = [web_search, write_file, execute_command, list_files]
-except ImportError:
-    tools = [write_file, execute_command, list_files]
-
-agent = Agent(
-    instructions="You are a helpful research assistant.",
-    output="editor",
-    tools=tools,
-    approval=False,
-)
-agent.start(
-    "Search the web for the current weather in Tokyo, create a JSON file at "
-    "/tmp/weather_data.json with the findings, then write a Python script at "
-    "/tmp/parse_weather.py that reads the JSON and prints a formatted weather "
-    "report, execute the script, and list all files you created in /tmp"
-)

examples/benchmark/benchmark_example.py

@@ -35,7 +35,7 @@ def run_quick_comparison():
         prompt="What is 2+2?",
         iterations=2,
         paths=["openai_sdk", "praisonai_agent"],
-        output="verbose"
+        verbose=True
     )
     
     # Print comparison table
@@ -56,7 +56,7 @@ def run_full_benchmark():
     report = handler.run_full_benchmark(
         prompt="Hi",
         iterations=3,
-        output="verbose"
+        verbose=True
     )
     
     # Print full report
@@ -78,7 +78,7 @@ def run_agent_benchmark():
         prompt="Explain Python in one sentence",
         iterations=3,
         paths=["openai_sdk", "praisonai_agent"],
-        output="verbose"
+        verbose=True
     )
     
     # Show timeline diagrams

examples/caching/00_agent_caching_basic.py

@@ -1,43 +0,0 @@
-"""
-Basic Caching Configuration Example
-
-Demonstrates using caching for response and prompt caching.
-"""
-import os
-from praisonaiagents import Agent, CachingConfig
-
-# Ensure API key is set from environment
-assert os.getenv("OPENAI_API_KEY"), "OPENAI_API_KEY must be set"
-
-# Default caching (enabled)
-agent_cached = Agent(
-    instructions="You are a helpful assistant.",
-    caching=True,
-)
-
-# Disable caching
-agent_no_cache = Agent(
-    instructions="You are a helpful assistant.",
-    caching=False,
-)
-
-# Custom caching configuration
-agent_custom = Agent(
-    instructions="You are a helpful assistant.",
-    caching=CachingConfig(
-        enabled=True,
-        prompt_caching=True,  # Enable prompt caching for supported providers
-    ),
-)
-
-if __name__ == "__main__":
-    print("Testing CachingConfig...")
-    
-    print(f"Cached agent cache: {agent_cached.cache}")
-    print(f"No-cache agent cache: {agent_no_cache.cache}")
-    print(f"Custom agent cache: {agent_custom.cache}")
-    
-    result = agent_cached.chat("What is caching?")
-    print(f"Result: {result}")
-    
-    print("\nCachingConfig tests passed!")

examples/capabilities/embeddings_example.py

@@ -2,14 +2,12 @@
 Embeddings Capability Example
 
 Demonstrates text embedding generation using PraisonAI capabilities.
-Both `embed` and `embedding` work identically - use whichever you prefer.
 """
 
-from praisonai import embed, embedding  # Both work from top-level
-# Or: from praisonai.capabilities import embed, embedding
+from praisonai.capabilities import embed
 
-# Single text embedding using embed()
-print("=== Single Text Embedding (using embed) ===")
+# Single text embedding
+print("=== Single Text Embedding ===")
 result = embed(
     input="Hello, world!",
     model="text-embedding-3-small"
@@ -18,14 +16,6 @@ print(f"Embedding dimensions: {len(result.embeddings[0])}")
 print(f"First 5 values: {result.embeddings[0][:5]}")
 print(f"Usage: {result.usage}")
 
-# Same thing using embedding() alias
-print("\n=== Single Text Embedding (using embedding alias) ===")
-result = embedding(
-    input="Hello, world!",
-    model="text-embedding-3-small"
-)
-print(f"Embedding dimensions: {len(result.embeddings[0])}")
-
 # Multiple text embeddings
 print("\n=== Multiple Text Embeddings ===")
 result = embed(
@@ -35,12 +25,3 @@ result = embed(
 print(f"Number of embeddings: {len(result.embeddings)}")
 for i, emb in enumerate(result.embeddings):
     print(f"  Text {i+1}: {len(emb)} dimensions")
-
-# With custom dimensions (for models that support it)
-print("\n=== Custom Dimensions ===")
-result = embed(
-    input="Hello world",
-    model="text-embedding-3-large",
-    dimensions=256
-)
-print(f"Reduced dimensions: {len(result.embeddings[0])}")

examples/catalog/template_finder_agent.py

@@ -163,7 +163,7 @@ def main():
             list_all_templates_tool,
             get_template_details_tool
         ],
-        output="verbose"  # Use new consolidated param
+        verbose=True
     )
     
     # Example queries

examples/checkpoints/basic_checkpoints.py

@@ -2,10 +2,10 @@
 """
 Basic Checkpoints Example for PraisonAI Agents.
 
-This example demonstrates how to use the shadow git checkpointing system with Agent:
-1. Create an Agent with checkpoint support
-2. Save checkpoints before making changes
-3. List available checkpoints
+This example demonstrates how to use the shadow git checkpointing system to:
+1. Save checkpoints before making changes
+2. List available checkpoints
+3. View diffs between checkpoints
 4. Restore to a previous checkpoint
 
 Usage:
@@ -16,7 +16,6 @@ import asyncio
 import tempfile
 from pathlib import Path
 
-from praisonaiagents import Agent
 from praisonaiagents.checkpoints import CheckpointService
 
 
@@ -24,7 +23,7 @@ async def main():
     # Create a temporary workspace for demonstration
     with tempfile.TemporaryDirectory() as workspace:
         print("=" * 60)
-        print("Agent-Centric Checkpointing Demo")
+        print("Shadow Git Checkpointing Demo")
         print("=" * 60)
         print(f"\nWorkspace: {workspace}")
         
@@ -33,34 +32,24 @@ async def main():
         test_file.write_text("# Initial content\nprint('Hello, World!')\n")
         print(f"\n✅ Created initial file: {test_file.name}")
         
-        # Create checkpoint service (used standalone, not passed to Agent)
-        checkpoint_service = CheckpointService(workspace_dir=workspace)
-        
-        # Create an Agent
-        agent = Agent(
-            name="RefactorBot",
-            instructions="You are a code refactoring assistant.",
-        )
-        
-        print("\n--- Agent with Checkpoint Support Created ---")
-        print(f"Agent: {agent.name}")
-        print(f"Checkpoint service initialized: {checkpoint_service is not None}")
+        # Initialize the checkpoint service
+        service = CheckpointService(workspace_dir=workspace)
         
         try:
             # Initialize the shadow git repository
             print("\n--- Initializing Checkpoint Service ---")
-            await checkpoint_service.initialize()
+            await service.initialize()
             print("✅ Shadow git repository initialized")
             
             # Save first checkpoint
             print("\n--- Saving Checkpoint 1: Initial State ---")
-            result1 = await checkpoint_service.save("Initial state")
+            result1 = await service.save("Initial state")
             print(f"✅ Checkpoint saved: {result1.checkpoint.id[:8]}")
             print(f"   Message: {result1.checkpoint.message}")
             
-            # Make some changes (simulating agent modifications)
-            print("\n--- Simulating Agent Changes ---")
-            test_file.write_text("# Refactored content\nprint('Hello, PraisonAI!')\nprint('Checkpoints are awesome!')\n")
+            # Make some changes
+            print("\n--- Making Changes ---")
+            test_file.write_text("# Modified content\nprint('Hello, PraisonAI!')\nprint('Checkpoints are awesome!')\n")
             print("✅ Modified example.py")
             
             # Create a new file
@@ -69,32 +58,38 @@ async def main():
             print("✅ Created utils.py")
             
             # Save second checkpoint
-            print("\n--- Saving Checkpoint 2: After Refactoring ---")
-            result2 = await checkpoint_service.save("Added features")
+            print("\n--- Saving Checkpoint 2: After Changes ---")
+            result2 = await service.save("Added features")
             print(f"✅ Checkpoint saved: {result2.checkpoint.id[:8]}")
             
             # List all checkpoints
             print("\n--- Listing All Checkpoints ---")
-            checkpoints_list = await checkpoint_service.list_checkpoints()
-            for i, cp in enumerate(checkpoints_list, 1):
-                print(f"  {i}. [{cp.id[:8]}] {cp.message}")
+            checkpoints = await service.list_checkpoints()
+            for i, cp in enumerate(checkpoints, 1):
+                print(f"  {i}. [{cp.id[:8]}] {cp.message} ({cp.timestamp})")
             
             # Show diff
-            print("\n--- Current Diff ---")
-            diff = await checkpoint_service.diff()
+            print("\n--- Current Diff (uncommitted changes) ---")
+            diff = await service.diff()
             if diff.files:
                 for f in diff.files:
                     print(f"  {f.status}: {f.path}")
             else:
                 print("  No uncommitted changes")
             
-            # Make more changes
-            test_file.write_text("# Bad changes\nprint('This will be reverted')\n")
-            print("\n✅ Made problematic changes to example.py")
+            # Make more changes to show diff
+            test_file.write_text("# Even more changes\nprint('This will be reverted')\n")
+            print("\n✅ Made more changes to example.py")
+            
+            diff = await service.diff()
+            print("\n--- New Diff ---")
+            if diff.files:
+                for f in diff.files:
+                    print(f"  {f.status}: {f.path}")
             
             # Restore to checkpoint 2
             print(f"\n--- Restoring to Checkpoint: {result2.checkpoint.id[:8]} ---")
-            await checkpoint_service.restore(result2.checkpoint.id)
+            await service.restore(result2.checkpoint.id)
             print("✅ Restored successfully!")
             
             # Verify restoration

examples/cli/calculator_with_tests.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-# Calculator with tests: code + unit tests + test execution + coverage report
-# Tests: multiple file creation, test execution, report generation, file reading
-
-praisonai "Build a mini calculator - create /tmp/calculator.py with add, subtract, multiply, divide functions, write unit tests in /tmp/test_calculator.py using unittest, run the tests to make sure they pass, then generate a coverage-style report in /tmp/calc_report.md listing which functions were tested and read it back" --trust

examples/cli/fibonacci_generator.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-# Fibonacci generator: code creation, execution, documentation, verification
-# Tests: file creation, code execution, markdown writing, file reading
-
-praisonai "Create a Python file at /tmp/fibonacci.py that generates the first 20 Fibonacci numbers, run it to verify the output is correct, then write a summary to /tmp/fib_summary.md explaining the algorithm you used and the output, finally read back both files to confirm everything looks good" --trust

examples/cli/multi_step_research.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-# Multi-step research: web search, file creation, code execution, reporting
-# Tests: web search, file write, code execution, markdown report, file read, directory listing, system info
-
-praisonai "Research the top 3 Python web frameworks (Django, FastAPI, Flask), then: 1) Search the web for each framework's latest version and key features, 2) Create a file called /tmp/framework_comparison.py that contains a Python dictionary with the comparison data, 3) Execute the code to verify the dictionary is valid, 4) Write a markdown report to /tmp/framework_report.md summarizing your findings in a table format, 5) Read back the report file to verify it was written correctly, 6) List the files in /tmp to confirm both files exist, 7) Get system info to note what OS this report was generated on, 8) Analyze the Python code you wrote for any issues, 9) Format the Python code properly, 10) Finally search for any recent news about Python 3.13 features" --trust

examples/cli/system_audit.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-# System audit: multiple command executions, report generation
-# Tests: command execution (date, disk, python, processes), file creation, file reading
-
-praisonai "Investigate my system - get the current date, check disk usage, find out what Python version is installed, list running processes sorted by memory, then write all findings to /tmp/system_audit.md as a neat report and read it back to verify" --trust

examples/cli/todo_app.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-# Todo app: multi-file app creation, execution, documentation, verification
-# Tests: multiple file creation, code execution, markdown docs, directory listing
-
-praisonai "Write a todo list app at /tmp/todo.py with functions to add, remove, and list tasks stored in /tmp/todos.json, run the script with some sample tasks added, then create documentation at /tmp/todo_docs.md explaining usage with examples, and verify all three files exist" --trust

examples/cli/weather_search.sh

@@ -1,5 +0,0 @@
-#!/bin/bash
-# Weather search: web search, JSON creation, Python script, execution
-# Tests: web search, JSON file creation, Python scripting, code execution, directory listing
-
-praisonai "Search the web for the current weather in Tokyo, create a JSON file at /tmp/weather_data.json with the findings, then write a Python script at /tmp/parse_weather.py that reads the JSON and prints a formatted weather report, execute the script, and list all files you created in /tmp" --trust

examples/compaction/basic_compaction.py

@@ -2,114 +2,140 @@
 """
 Basic Context Compaction Example for PraisonAI Agents.
 
-This example demonstrates how to use context compaction with Agent:
-1. Create an Agent with context= parameter for compaction
-2. Use different compaction strategies via ManagerConfig
-3. Monitor compaction results
+This example demonstrates how to use context compaction to:
+1. Manage conversation context length
+2. Use different compaction strategies
+3. Track compaction results
+4. Preserve important messages
 
 Usage:
     python basic_compaction.py
 """
 
-from praisonaiagents import Agent
-from praisonaiagents.context import ManagerConfig
+from praisonaiagents.compaction import (
+    ContextCompactor, CompactionConfig, CompactionStrategy, CompactionResult
+)
 
 
 def main():
     print("=" * 60)
-    print("Agent-Centric Context Compaction Demo")
+    print("Context Compaction Demo")
     print("=" * 60)
     
     # ==========================================================================
-    # Available Strategies
+    # Sample Messages
     # ==========================================================================
-    print("\n--- Available Compaction Strategies ---")
-    
-    strategies = [
-        ("truncate", "Remove oldest messages first"),
-        ("sliding_window", "Keep most recent messages within limit"),
-        ("summarize", "Replace old messages with summary"),
-        ("smart", "Intelligently select messages to keep"),
+    messages = [
+        {"role": "system", "content": "You are a helpful AI assistant."},
+        {"role": "user", "content": "Hello! Can you help me with Python?"},
+        {"role": "assistant", "content": "Of course! I'd be happy to help you with Python. What would you like to know?"},
+        {"role": "user", "content": "How do I read a file in Python?"},
+        {"role": "assistant", "content": "To read a file in Python, you can use the built-in open() function. Here's an example:\n\nwith open('filename.txt', 'r') as f:\n    content = f.read()\n\nThis opens the file, reads its content, and automatically closes it."},
+        {"role": "user", "content": "What about writing to a file?"},
+        {"role": "assistant", "content": "To write to a file, use the 'w' mode:\n\nwith open('filename.txt', 'w') as f:\n    f.write('Hello, World!')\n\nUse 'a' mode to append instead of overwriting."},
+        {"role": "user", "content": "Can you explain list comprehensions?"},
+        {"role": "assistant", "content": "List comprehensions are a concise way to create lists. Instead of:\n\nresult = []\nfor x in range(10):\n    result.append(x * 2)\n\nYou can write:\n\nresult = [x * 2 for x in range(10)]"},
     ]
     
-    for name, desc in strategies:
-        print(f"  {name}: {desc}")
+    print(f"\n--- Original Messages ---")
+    print(f"  Message count: {len(messages)}")
     
     # ==========================================================================
-    # Agent with Context Compaction via context= param
+    # Basic Compaction
     # ==========================================================================
-    print("\n--- Creating Agent with Context Compaction ---")
+    print("\n--- Basic Compaction (Truncate Strategy) ---")
     
-    # Use context= parameter with ManagerConfig for compaction
-    agent = Agent(
-        name="LongChat",
-        instructions="You are a helpful assistant for extended conversations.",
-        context=ManagerConfig(
-            auto_compact=True,
-            compact_threshold=0.8,
-            strategy="sliding_window",
-        )
+    compactor = ContextCompactor(
+        max_tokens=50,  # Low limit to trigger compaction
+        strategy=CompactionStrategy.TRUNCATE,
+        preserve_system=True,
+        preserve_recent=2
     )
     
-    print(f"Agent: {agent.name}")
-    print(f"Context manager: {agent.context_manager is not None}")
-    if agent.context_manager:
-        print(f"Auto-compact: {agent.context_manager.config.auto_compact}")
-        print(f"Threshold: {agent.context_manager.config.compact_threshold}")
-        print(f"Strategy: {agent.context_manager.config.strategy}")
+    # Check stats before
+    stats = compactor.get_stats(messages)
+    print(f"  Total tokens: {stats['total_tokens']}")
+    print(f"  Max tokens: {stats['max_tokens']}")
+    print(f"  Needs compaction: {stats['needs_compaction']}")
+    
+    # Compact
+    compacted, result = compactor.compact(messages)
+    
+    print(f"\n  After compaction:")
+    print(f"    Messages: {len(messages)} -> {len(compacted)}")
+    print(f"    Tokens: {result.original_tokens} -> {result.compacted_tokens}")
+    print(f"    Saved: {result.tokens_saved} tokens")
+    print(f"    Compression: {result.compression_ratio:.1%}")
     
     # ==========================================================================
-    # Different Strategy Examples via context= param
+    # Sliding Window Strategy
     # ==========================================================================
-    print("\n--- Strategy Examples ---")
+    print("\n--- Sliding Window Strategy ---")
     
-    # Sliding window strategy
-    sliding_agent = Agent(
-        name="SlidingAgent",
-        instructions="You are helpful.",
-        context=ManagerConfig(
-            auto_compact=True,
-            strategy="sliding_window",
-        )
+    compactor = ContextCompactor(
+        max_tokens=50,
+        strategy=CompactionStrategy.SLIDING,
+        preserve_system=True,
+        preserve_recent=3
     )
-    print(f"  Sliding: strategy={sliding_agent.context_manager.config.strategy}")
     
-    # Summarize strategy
-    summarize_agent = Agent(
-        name="SummarizeAgent",
-        instructions="You are helpful.",
-        context=ManagerConfig(
-            auto_compact=True,
-            strategy="summarize",
-        )
-    )
-    print(f"  Summarize: strategy={summarize_agent.context_manager.config.strategy}")
+    compacted, result = compactor.compact(messages)
     
-    # Smart strategy
-    smart_agent = Agent(
-        name="SmartAgent",
-        instructions="You are helpful.",
-        context=ManagerConfig(
-            auto_compact=True,
-            strategy="smart",
-        )
-    )
-    print(f"  Smart: strategy={smart_agent.context_manager.config.strategy}")
+    print(f"  Messages kept: {result.messages_kept}")
+    print(f"  Messages removed: {result.messages_removed}")
+    print(f"  Strategy: {result.strategy_used.value}")
     
     # ==========================================================================
-    # Context Manager Stats Demo
+    # Summarize Strategy
     # ==========================================================================
-    print("\n--- Context Manager Stats Demo ---")
+    print("\n--- Summarize Strategy ---")
     
-    # Access context manager stats
-    if agent.context_manager:
-        stats = agent.context_manager.get_stats()
-        print(f"  Model: {stats.get('model', 'N/A')}")
-        print(f"  Model limit: {stats.get('model_limit', 'N/A')}")
-        print(f"  Output reserve: {stats.get('output_reserve', 'N/A')}")
-        print(f"  Usable budget: {stats.get('usable_budget', 'N/A')}")
-    else:
-        print("  Context manager not initialized")
+    compactor = ContextCompactor(
+        max_tokens=50,
+        strategy=CompactionStrategy.SUMMARIZE,
+        preserve_system=True,
+        preserve_recent=2
+    )
+    
+    compacted, result = compactor.compact(messages)
+    
+    print(f"  Messages kept: {result.messages_kept}")
+    print(f"  Strategy: {result.strategy_used.value}")
+    
+    # Show what messages remain
+    print(f"\n  Remaining message roles:")
+    for msg in compacted:
+        role = msg.get("role", "unknown")
+        content_preview = msg.get("content", "")[:50]
+        print(f"    [{role}] {content_preview}...")
+    
+    # ==========================================================================
+    # No Compaction Needed
+    # ==========================================================================
+    print("\n--- No Compaction Needed ---")
+    
+    compactor = ContextCompactor(
+        max_tokens=10000,  # High limit
+        strategy=CompactionStrategy.TRUNCATE
+    )
+    
+    compacted, result = compactor.compact(messages)
+    
+    print(f"  Was compacted: {result.was_compacted}")
+    print(f"  Messages unchanged: {len(compacted) == len(messages)}")
+    
+    # ==========================================================================
+    # Result Serialization
+    # ==========================================================================
+    print("\n--- Result Serialization ---")
+    
+    compactor = ContextCompactor(max_tokens=50)
+    _, result = compactor.compact(messages)
+    
+    data = result.to_dict()
+    print(f"  Original tokens: {data['original_tokens']}")
+    print(f"  Compacted tokens: {data['compacted_tokens']}")
+    print(f"  Compression ratio: {data['compression_ratio']:.2f}")
     
     print("\n" + "=" * 60)
     print("Demo Complete!")

examples/compare/cli_compare_advanced.py

@@ -22,7 +22,7 @@ custom_modes = {
 }
 
 # Create handler with verbose output
-handler = CompareHandler(output="verbose")
+handler = CompareHandler(verbose=True)
 
 # Example: Manually create comparison results for analysis
 # (useful for testing without API calls)

examples/compare/cli_compare_basic.py

@@ -22,7 +22,7 @@ modes = parse_modes("basic,tools,planning")
 print(f"\nParsed modes: {modes}")
 
 # Create compare handler
-handler = CompareHandler(output="verbose")
+handler = CompareHandler(verbose=True)
 
 # Compare modes (this will run actual agent calls)
 # Uncomment to run:

examples/consolidated_params/README.md

@@ -1,96 +0,0 @@
-# Consolidated Params Examples
-
-Examples demonstrating the **Agent-Centric API** with consolidated parameters.
-
-## Precedence Ladder
-
-```
-Instance > Config > Array > Dict > String > Bool > Default
-```
-
-## Quick Reference
-
-| Feature | Presets | Example |
-|---------|---------|---------|
-| `memory` | file, sqlite, redis, postgres, mem0, mongodb | `memory="sqlite"` |
-| `output` | minimal, normal, verbose, debug, silent | `output="verbose"` |
-| `execution` | fast, balanced, thorough, unlimited | `execution="balanced"` |
-| `planning` | reasoning, read_only, auto | `planning="reasoning"` |
-| `reflection` | minimal, standard, thorough | `reflection="standard"` |
-| `guardrails` | strict, permissive, safety | `guardrails="strict"` |
-| `web` | duckduckgo, tavily, google, bing, serper | `web="duckduckgo"` |
-| `context` | sliding_window, summarize, truncate | `context="sliding_window"` |
-| `autonomy` | suggest, auto_edit, full_auto | `autonomy="suggest"` |
-| `caching` | enabled, disabled, prompt | `caching="prompt"` |
-
-## Examples
-
-### Basic Examples (Single Feature)
-
-| File | Feature | Description |
-|------|---------|-------------|
-| `basic_agent.py` | Agent | Minimal agent with memory |
-| `basic_memory.py` | memory | SQLite memory preset |
-| `basic_output.py` | output | Verbose output preset |
-| `basic_execution.py` | execution | Execution control |
-| `basic_guardrails.py` | guardrails | Callable validator |
-| `basic_reflection.py` | reflection | Self-reflection preset |
-| `basic_web.py` | web | Web search preset |
-| `basic_planning.py` | planning | Planning preset |
-| `basic_autonomy.py` | autonomy | Autonomy preset |
-| `basic_caching.py` | caching | Caching preset |
-| `basic_knowledge.py` | knowledge | RAG with sources |
-| `basic_context.py` | context | Context management |
-| `basic_hooks.py` | hooks | Lifecycle callbacks |
-
-### Multi-Agent Examples
-
-| File | Description |
-|------|-------------|
-| `basic_agents.py` | Multi-agent with memory and planning |
-
-### Workflow Examples
-
-| File | Description |
-|------|-------------|
-| `basic_workflow.py` | Simple workflow with output preset |
-| `basic_workflow_agentlike.py` | Workflow with agent-like params |
-| `basic_step_override.py` | Step-level param overrides |
-| `advanced_workflow_full_features.py` | All consolidated params |
-
-### Advanced Examples
-
-| File | Description |
-|------|-------------|
-| `advanced_output_execution.py` | Combined output + execution |
-
-## Usage Forms
-
-Each consolidated param supports multiple input forms:
-
-```python
-# Bool - enable with defaults
-memory=True
-
-# String preset
-memory="sqlite"
-
-# Dict config
-memory={"backend": "sqlite", "user_id": "user123"}
-
-# Config instance
-memory=MemoryConfig(backend="sqlite", user_id="user123")
-
-# Array with overrides (for some params)
-guardrails=["strict", {"max_retries": 10}]
-```
-
-## Running Examples
-
-```bash
-# Set API key
-export OPENAI_API_KEY=your_key_here
-
-# Run any example
-python basic_agent.py
-```

examples/consolidated_params/advanced_memory.py

@@ -1,23 +0,0 @@
-"""Advanced memory example - with config and overrides."""
-from praisonaiagents import Agent, MemoryConfig
-
-# With full config
-agent = Agent(
-    instructions="You are a helpful assistant with memory.",
-    memory=MemoryConfig(
-        backend="redis",
-        user_id="user123",
-        session_id="session456",
-        auto_memory=True,
-    ),
-)
-
-# With array [preset, overrides]
-agent_override = Agent(
-    instructions="You are a helpful assistant.",
-    memory=["redis", {"user_id": "custom_user"}],
-)
-
-if __name__ == "__main__":
-    response = agent.chat("Remember that my favorite color is blue.")
-    print(response)

examples/consolidated_params/advanced_output_execution.py

@@ -1,17 +0,0 @@
-"""
-Advanced Output + Execution Example - Agent-Centric API
-
-Demonstrates preset + override array syntax.
-"""
-
-from praisonaiagents import Agent
-
-# Advanced: Preset with overrides using array syntax
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    output=["verbose", {"stream": True, "metrics": True}],
-    execution=["thorough", {"max_iter": 30}],
-)
-
-response = agent.start("Explain quantum computing in simple terms.")
-print(response)

examples/consolidated_params/advanced_workflow_full_features.py

@@ -1,55 +0,0 @@
-"""Advanced Workflow with all consolidated params configured."""
-from praisonaiagents import Agent
-from praisonaiagents import AgentFlow, Task
-from praisonaiagents.workflows.workflow_configs import (
-    WorkflowOutputConfig, WorkflowPlanningConfig, WorkflowMemoryConfig,
-)
-
-# Full-featured workflow with all consolidated params
-workflow = AgentFlow(
-    name="FullFeaturedWorkflow",
-    description="Demonstrates all agent-like consolidated params",
-    steps=[
-        Task(
-            name="researcher",
-            action="Research: {{input}}",
-            agent=Agent(instructions="You are a researcher."),
-            knowledge=["research_docs/"],  # Step-specific knowledge
-            web="duckduckgo",  # Use DuckDuckGo for this step
-        ),
-        Task(
-            name="analyzer",
-            action="Analyze the research",
-            agent=Agent(instructions="You are an analyst."),
-            reflection="thorough",  # Thorough reflection for analysis
-            guardrails="strict",  # Strict validation
-        ),
-        Task(
-            name="writer",
-            action="Write the final report",
-            agent=Agent(instructions="You are a writer."),
-            autonomy=True,  # Enable autonomy for writing
-        ),
-    ],
-    # Workflow-level consolidated params
-    output=WorkflowOutputConfig(output="verbose", stream=True),
-    planning=WorkflowPlanningConfig(enabled=True, reasoning=True),
-    memory=WorkflowMemoryConfig(backend="file"),
-    # Agent-like params
-    autonomy=True,
-    knowledge=["shared_docs/"],
-    guardrails=True,
-    web=True,
-    reflection=True,
-)
-
-if __name__ == "__main__":
-    print(f"Workflow: {workflow.name}")
-    print(f"Output verbose: {workflow._verbose}")
-    print(f"Planning enabled: {workflow._planning_enabled}")
-    print(f"Memory config: {workflow._memory_config}")
-    print(f"Autonomy: {workflow.autonomy}")
-    print(f"Knowledge: {workflow.knowledge}")
-    print(f"Guardrails: {workflow.guardrails}")
-    print(f"Web: {workflow.web}")
-    print(f"Reflection: {workflow.reflection}")

examples/consolidated_params/basic_agent.py

@@ -1,12 +0,0 @@
-"""Basic Agent example with consolidated params."""
-from praisonaiagents import Agent
-
-# Minimal agent with memory
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    memory=True,
-)
-
-if __name__ == "__main__":
-    response = agent.chat("Hello!")
-    print(response)

examples/consolidated_params/basic_agents.py

@@ -1,17 +0,0 @@
-"""Basic Agents (multi-agent) example with consolidated params."""
-from praisonaiagents import Agent, AgentTeam
-
-# Create agents
-writer = Agent(instructions="You write content.")
-editor = Agent(instructions="You edit content.")
-
-# Multi-agent with consolidated params
-agents = AgentTeam(
-    agents=[writer, editor],
-    memory=True,
-    planning=True,
-)
-
-if __name__ == "__main__":
-    result = agents.start("Write a haiku about AI")
-    print(result)

examples/consolidated_params/basic_autonomy.py

@@ -1,18 +0,0 @@
-"""
-Basic Autonomy Example - Agent-Centric API
-
-Demonstrates autonomy with consolidated params.
-Presets: suggest, auto_edit, full_auto
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Enable autonomy with preset
-agent = Agent(
-    instructions="You are an autonomous assistant.",
-    autonomy="suggest",  # Presets: suggest, auto_edit, full_auto
-)
-
-if __name__ == "__main__":
-    response = agent.start("Help me organize my project files.")
-    print(response)

examples/consolidated_params/basic_caching.py

@@ -1,23 +0,0 @@
-"""
-Basic Caching Example - Agent-Centric API
-
-Demonstrates caching with consolidated params.
-Presets: enabled, disabled, prompt
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Enable caching with preset
-agent = Agent(
-    instructions="You are a helpful assistant with caching enabled.",
-    caching="prompt",  # Presets: enabled, disabled, prompt
-)
-
-if __name__ == "__main__":
-    # First call - will cache
-    response = agent.start("What is the capital of France?")
-    print(response)
-    
-    # Second call - may use cache
-    response = agent.start("What is the capital of France?")
-    print(response)

examples/consolidated_params/basic_context.py

@@ -1,18 +0,0 @@
-"""
-Basic Context Example - Agent-Centric API
-
-Demonstrates context management with consolidated params.
-Presets: sliding_window, summarize, truncate
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Enable context management with preset
-agent = Agent(
-    instructions="You are a helpful assistant with context management.",
-    context="sliding_window",  # Presets: sliding_window, summarize, truncate
-)
-
-if __name__ == "__main__":
-    response = agent.start("Tell me a long story about a dragon.")
-    print(response)

examples/consolidated_params/basic_execution.py

@@ -1,16 +0,0 @@
-"""
-Basic Execution Example - Agent-Centric API
-
-Demonstrates execution preset usage.
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Use fast execution preset
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    execution="fast",  # Presets: fast, balanced, thorough, unlimited
-)
-
-response = agent.start("What is the capital of France?")
-print(response)

examples/consolidated_params/basic_guardrails.py

@@ -1,26 +0,0 @@
-"""
-Basic Guardrails Example - Agent-Centric API
-
-Demonstrates guardrails with callable validator.
-"""
-
-from praisonaiagents import Agent
-
-# Define a simple guardrail validator
-def validate_response(output):
-    """Validate that response doesn't contain forbidden words."""
-    forbidden = ["error", "fail", "cannot"]
-    text = str(output).lower()
-    for word in forbidden:
-        if word in text:
-            return (False, f"Response contains forbidden word: {word}")
-    return (True, output)
-
-# Basic: Use callable guardrail
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    guardrails=validate_response,
-)
-
-response = agent.start("What is 2 + 2?")
-print(response)

examples/consolidated_params/basic_hooks.py

@@ -1,28 +0,0 @@
-"""
-Basic Hooks Example - Agent-Centric API
-
-Demonstrates lifecycle hooks with consolidated params.
-Valid keys: on_step, on_tool_call, middleware
-"""
-
-from praisonaiagents import Agent
-
-# Define hook callbacks
-def on_step_callback(step_info):
-    print(f"Step: {step_info}")
-
-def on_tool_call_callback(tool_info):
-    print(f"Tool called: {tool_info}")
-
-# Basic: Enable hooks with dict
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    hooks={
-        "on_step": on_step_callback,
-        "on_tool_call": on_tool_call_callback,
-    },
-)
-
-if __name__ == "__main__":
-    response = agent.start("What is 2 + 2?")
-    print(response)

examples/consolidated_params/basic_knowledge.py

@@ -1,18 +0,0 @@
-"""
-Basic Knowledge (RAG) Example - Agent-Centric API
-
-Demonstrates knowledge with consolidated params.
-Supports: bool, list of sources, dict config, KnowledgeConfig
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Enable knowledge with list of sources
-agent = Agent(
-    instructions="You are a helpful assistant with document knowledge.",
-    knowledge=["docs/"],  # List of file/folder paths
-)
-
-if __name__ == "__main__":
-    response = agent.start("What does the documentation say about installation?")
-    print(response)

examples/consolidated_params/basic_memory.py

@@ -1,24 +0,0 @@
-"""Basic memory example - minimal usage."""
-from praisonaiagents import Agent
-
-# Simple enable (uses default file-based memory)
-agent = Agent(
-    instructions="You are a helpful assistant with memory.",
-    memory=True,
-)
-
-# With preset
-agent_redis = Agent(
-    instructions="You are a helpful assistant.",
-    memory="redis",  # Uses redis preset
-)
-
-# With URL
-agent_postgres = Agent(
-    instructions="You are a helpful assistant.",
-    memory="postgresql://localhost/mydb",  # URL auto-detected
-)
-
-if __name__ == "__main__":
-    response = agent.chat("Remember that my favorite color is blue.")
-    print(response)

examples/consolidated_params/basic_output.py

@@ -1,16 +0,0 @@
-"""
-Basic Output Example - Agent-Centric API
-
-Demonstrates output preset usage.
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Use verbose output preset
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    output="verbose",  # Presets: minimal, normal, verbose, debug, silent
-)
-
-response = agent.start("What is 2 + 2?")
-print(response)

examples/consolidated_params/basic_output_execution.py

@@ -1,13 +0,0 @@
-"""Basic output and execution example."""
-from praisonaiagents import Agent
-
-# Simple preset usage
-agent = Agent(
-    instructions="You are a helpful assistant.",
-    output="verbose",  # Preset: verbose output
-    execution="thorough",  # Preset: thorough execution
-)
-
-if __name__ == "__main__":
-    response = agent.chat("What is 2+2?")
-    print(response)

examples/consolidated_params/basic_planning.py

@@ -1,18 +0,0 @@
-"""
-Basic Planning Example - Agent-Centric API
-
-Demonstrates planning with consolidated params.
-Presets: reasoning, read_only, auto
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Enable planning with preset
-agent = Agent(
-    instructions="You are a strategic planner.",
-    planning="reasoning",  # Presets: reasoning, read_only, auto
-)
-
-if __name__ == "__main__":
-    response = agent.start("Plan a 3-day trip to Tokyo.")
-    print(response)

examples/consolidated_params/basic_reflection.py

@@ -1,18 +0,0 @@
-"""
-Basic Reflection Example - Agent-Centric API
-
-Demonstrates reflection (self-reflect) with consolidated params.
-Presets: minimal, standard, thorough
-"""
-
-from praisonaiagents import Agent
-
-# Basic: Enable reflection with preset
-agent = Agent(
-    instructions="You are a helpful assistant that reflects on your answers.",
-    reflection="standard",  # Presets: minimal, standard, thorough
-)
-
-if __name__ == "__main__":
-    response = agent.start("Explain quantum computing in simple terms.")
-    print(response)

examples/consolidated_params/basic_step_override.py

@@ -1,33 +0,0 @@
-"""Basic example showing step-level override of workflow defaults."""
-from praisonaiagents import Agent
-from praisonaiagents import AgentFlow, Task
-
-# Workflow with defaults
-workflow = AgentFlow(
-    name="StepOverrideWorkflow",
-    steps=[
-        Task(
-            name="step1",
-            action="Process with workflow defaults",
-            agent=Agent(instructions="You are a processor."),
-            # Uses workflow-level web=True (inherited)
-        ),
-        Task(
-            name="step2",
-            action="Process with step override",
-            agent=Agent(instructions="You are a processor."),
-            # Override workflow default
-            web=False,  # Disable web for this step
-            reflection="thorough",  # Use thorough reflection preset
-        ),
-    ],
-    # Workflow defaults
-    web=True,
-    reflection=True,
-)
-
-if __name__ == "__main__":
-    print(f"Workflow web default: {workflow.web}")
-    print(f"Step1 web: {workflow.steps[0].web}")  # None (uses workflow default)
-    print(f"Step2 web: {workflow.steps[1].web}")  # False (overridden)
-    print(f"Step2 reflection: {workflow.steps[1].reflection}")  # thorough