Mock wpApiSettings for development and render SettingsForm component

.github/FUNDING.yml

@@ -1,2 +0,0 @@
-patreon: MervinPraison
-ko_fi: MervinPraison

.github/ISSUE_TEMPLATE/bug_report.md

@@ -1,34 +0,0 @@
----
-name: Bug report
-about: Create a report to help us improve
-title: '[BUG] '
-labels: bug
-assignees: ''
----
-
-## Environment
-- Provider (select one):
-  - [ ] Anthropic
-  - [ ] OpenAI
-  - [ ] Google Vertex AI
-  - [ ] AWS Bedrock
-  - [ ] Other: <!-- specify -->
-- PraisonAI version: <!-- if known -->
-- Operating System: <!-- e.g. macOS 14.3, Windows 11, Ubuntu 22.04 -->
-
-## Full Code
-<!-- Full code that reproduces the bug -->
-
-## Steps to Reproduce
-1. <!-- First step -->
-2. <!-- Second step -->
-3. <!-- And so on... -->
-
-## Expected Behavior
-<!-- What you expected to happen -->
-
-## Actual Behavior
-<!-- What actually happened -->
-
-## Additional Context
-<!-- Add any other context about the problem here, such as screenshots, logs, etc. --> 

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

@@ -1,290 +0,0 @@
-name: "Claude Code Action"
-description: "Run Claude Code in GitHub Actions workflows"
-
-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
-    default: ${{ github.token }}
-  trigger_phrase:
-    description: "The trigger phrase to look for in comments, issue/PR bodies, and issue titles"
-    required: false
-    default: "@claude"
-  assignee_trigger:
-    description: "The assignee username that triggers the action (e.g. @claude). Only used for issue assignment"
-    required: false
-  max_turns:
-    description: "Maximum number of conversation turns Claude can take"
-    required: false
-  timeout_minutes:
-    description: "Timeout in minutes for execution"
-    required: false
-    default: "30"
-  model:
-    description: "Model to use (provider-specific format required for Bedrock/Vertex)"
-    required: false
-  use_bedrock:
-    description: "Use Amazon Bedrock with OIDC authentication instead of direct Anthropic API"
-    required: false
-    default: "false"
-  use_vertex:
-    description: "Use Google Vertex AI with OIDC authentication instead of direct Anthropic API"
-    required: false
-    default: "false"
-  allowed_tools:
-    description: "Additional tools for Claude to use (the base GitHub tools will always be included)"
-    required: false
-    default: ""
-  disallowed_tools:
-    description: "Tools that Claude should never use"
-    required: false
-    default: ""
-  custom_instructions:
-    description: "Additional custom instructions to include in the prompt for Claude"
-    required: false
-    default: ""
-  mcp_config:
-    description: "Additional MCP configuration (JSON string) that merges with the built-in GitHub MCP servers"
-    required: false
-    default: ""
-  claude_env:
-    description: "Custom environment variables to pass to Claude Code execution (YAML format)"
-    required: false
-    default: ""
-  direct_prompt:
-    description: "Direct prompt for Claude to execute automatically without needing a trigger (for automated workflows)"
-    required: false
-
-runs:
-  using: "composite"
-  steps:
-    - name: Install Claude Code
-      shell: bash
-      run: npm install -g @anthropic-ai/claude-code
-
-    - name: Install GitHub MCP Server
-      shell: bash
-      run: |
-        claude mcp add-json github '{
-          "command": "docker",
-          "args": [
-            "run",
-            "-i",
-            "--rm",
-            "-e",
-            "GITHUB_PERSONAL_ACCESS_TOKEN",
-            "ghcr.io/github/github-mcp-server:sha-ff3036d"
-          ],
-          "env": {
-            "GITHUB_PERSONAL_ACCESS_TOKEN": "${{ inputs.github_token }}"
-          }
-        }'
-
-    - name: Extract GitHub Context and Create Prompt
-      shell: bash
-      id: prepare_context
-      env:
-        # Pass user-controlled inputs via environment variables to prevent script injection (GHSL-2025-093)
-        EVENT_COMMENT_BODY: ${{ github.event.comment.body }}
-        EVENT_ISSUE_TITLE: ${{ github.event.issue.title }}
-        EVENT_ISSUE_BODY: ${{ github.event.issue.body }}
-        EVENT_ISSUE_NUMBER: ${{ github.event.issue.number }}
-        EVENT_PR_TITLE: ${{ github.event.pull_request.title }}
-        EVENT_PR_NUMBER: ${{ github.event.pull_request.number }}
-        EVENT_REVIEW_BODY: ${{ github.event.review.body }}
-        EVENT_ASSIGNEE_LOGIN: ${{ github.event.assignee.login }}
-        INPUT_TRIGGER_PHRASE: ${{ inputs.trigger_phrase }}
-        INPUT_ASSIGNEE_TRIGGER: ${{ inputs.assignee_trigger }}
-        INPUT_DIRECT_PROMPT: ${{ inputs.direct_prompt }}
-        EVENT_ACTION: ${{ github.event.action }}
-        EVENT_NAME: ${{ github.event_name }}
-        REPO_NAME: ${{ github.repository }}
-      run: |
-        echo "🔍 Extracting GitHub context from event: $EVENT_NAME"
-        
-        # Function to check for trigger phrase
-        check_trigger() {
-          local text="$1"
-          local trigger="$INPUT_TRIGGER_PHRASE"
-          if [[ "$text" == *"$trigger"* ]]; then
-            return 0
-          fi
-          return 1
-        }
-        
-        # Extract context based on event type
-        TRIGGER_FOUND="false"
-        USER_REQUEST=""
-        CONTEXT_INFO=""
-        
-        case "$EVENT_NAME" in
-          "issue_comment")
-            COMMENT_BODY="$EVENT_COMMENT_BODY"
-            ISSUE_TITLE="$EVENT_ISSUE_TITLE"
-            ISSUE_NUMBER="$EVENT_ISSUE_NUMBER"
-            
-            if check_trigger "$COMMENT_BODY"; then
-              TRIGGER_FOUND="true"
-              USER_REQUEST="$COMMENT_BODY"
-              CONTEXT_INFO="Issue Comment on #$ISSUE_NUMBER: $ISSUE_TITLE"
-            fi
-            ;;
-            
-          "pull_request_review_comment")
-            COMMENT_BODY="$EVENT_COMMENT_BODY"
-            PR_TITLE="$EVENT_PR_TITLE"
-            PR_NUMBER="$EVENT_PR_NUMBER"
-            
-            if check_trigger "$COMMENT_BODY"; then
-              TRIGGER_FOUND="true"
-              USER_REQUEST="$COMMENT_BODY"
-              CONTEXT_INFO="PR Comment on #$PR_NUMBER: $PR_TITLE"
-            fi
-            ;;
-            
-          "pull_request_review")
-            REVIEW_BODY="$EVENT_REVIEW_BODY"
-            PR_TITLE="$EVENT_PR_TITLE"
-            PR_NUMBER="$EVENT_PR_NUMBER"
-            
-            if check_trigger "$REVIEW_BODY"; then
-              TRIGGER_FOUND="true"
-              USER_REQUEST="$REVIEW_BODY"
-              CONTEXT_INFO="PR Review on #$PR_NUMBER: $PR_TITLE"
-            fi
-            ;;
-            
-          "issues")
-            ISSUE_BODY="$EVENT_ISSUE_BODY"
-            ISSUE_TITLE="$EVENT_ISSUE_TITLE"
-            ISSUE_NUMBER="$EVENT_ISSUE_NUMBER"
-            
-            if check_trigger "$ISSUE_TITLE" || check_trigger "$ISSUE_BODY"; then
-              TRIGGER_FOUND="true"
-              USER_REQUEST="$ISSUE_BODY"
-              CONTEXT_INFO="Issue #$ISSUE_NUMBER: $ISSUE_TITLE"
-            elif [[ "$EVENT_ACTION" == "assigned" && -n "$INPUT_ASSIGNEE_TRIGGER" ]]; then
-              ASSIGNEE="$EVENT_ASSIGNEE_LOGIN"
-              if [[ "$ASSIGNEE" == "$INPUT_ASSIGNEE_TRIGGER" ]]; then
-                TRIGGER_FOUND="true"
-                USER_REQUEST="$ISSUE_BODY"
-                CONTEXT_INFO="Issue #$ISSUE_NUMBER assigned to $ASSIGNEE: $ISSUE_TITLE"
-              fi
-            fi
-            ;;
-        esac
-        
-        # Check for direct prompt override
-        if [[ -n "$INPUT_DIRECT_PROMPT" ]]; then
-          TRIGGER_FOUND="true"
-          USER_REQUEST="$INPUT_DIRECT_PROMPT"
-          CONTEXT_INFO="Automated GitHub workflow"
-        fi
-        
-        if [[ "$TRIGGER_FOUND" != "true" ]]; then
-          echo "❌ No trigger phrase found or direct prompt provided. Exiting gracefully."
-          echo "SKIP_EXECUTION=true" >> $GITHUB_ENV
-          exit 0
-        fi
-        
-        echo "✅ Trigger found! Context: $CONTEXT_INFO"
-        
-        # Create comprehensive prompt
-        mkdir -p /tmp/claude-action
-        cat > /tmp/claude-action/github-context-prompt.txt << EOF
-        You are Claude Code, an AI assistant helping with GitHub workflows and code.
-        
-        Repository: $REPO_NAME
-        Context: $CONTEXT_INFO
-        Event: $EVENT_NAME
-        
-        User Request:
-        $USER_REQUEST
-        
-        Please analyze the request and provide helpful assistance.
-
-        CRITICAL INSTRUCTION: If your task involves modifying codebase files to add a feature or fix a bug:
-
-        STEP 0 — SETUP GIT IDENTITY:
-        git config user.name "MervinPraison"
-        git config user.email "[email protected]"
-
-        STEP 1 — READ GUIDELINES:
-        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.
-
-        STEP 2 — ARCHITECTURE VALIDATION & ROUTING (MANDATORY before writing code):
-        Before implementing anything, answer these questions:
-        - CORE vs WRAPPER vs TOOLS ROUTING:
-          1. Core SDK (praisonaiagents/): Only core protocols, base classes, decorators. No heavy implementations.
-          2. Wrapper (praisonai/): CLI, heavy implementations, optional dependencies.
-          3. Tools (PraisonAI-Tools): Specific integrations, external tools (e.g. SurrealDB, Slack), and community extensions MUST go to the `MervinPraison/PraisonAI-Tools` repository. If the feature is a tool, clone `https://github.com/MervinPraison/PraisonAI-Tools`, implement it there, and create the PR using `gh pr create -R MervinPraison/PraisonAI-Tools`.
-        - 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 conceptual checks fail (excluding routing), add a comment to the issue explaining why and close it. Do NOT create a PR.
-
-        STEP 3 — IMPLEMENT:
-        - Create a new git branch appropriately named (e.g. \`feature/issue-<number>\`)
-        - 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 the branch
-        - Use the GitHub CLI (\`gh pr create --title "..." --body "Fixes #<number>"\`) to open a Pull Request
-        CRITICAL: You MUST create the PR automatically using \`gh pr create\`. Do NOT just provide a link.
-
-        Respond naturally and helpfully to the user's request using the available tools.
-        EOF
-        
-        echo "PROMPT_FILE=/tmp/claude-action/github-context-prompt.txt" >> $GITHUB_ENV
-        echo "SKIP_EXECUTION=false" >> $GITHUB_ENV
-
-    - name: Run Claude Code
-      if: env.SKIP_EXECUTION != 'true'
-      shell: bash
-      run: |
-        echo "🚀 Running Claude Code with GitHub context..."
-        
-        # Build command arguments
-        CMD_ARGS=("-p" "--verbose" "--output-format" "stream-json")
-        
-        # Add max turns if specified
-        if [[ -n "${{ inputs.max_turns }}" ]]; then
-          CMD_ARGS+=("--max-turns" "${{ inputs.max_turns }}")
-        fi
-        
-        # Add allowed tools (include GitHub tools by default)
-        TOOLS="mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue,mcp__github__search_issues,mcp__github__list_issues,mcp__github__create_comment,Read,Write,Edit,Bash"
-        if [[ -n "${{ inputs.allowed_tools }}" ]]; then
-          TOOLS="$TOOLS,${{ inputs.allowed_tools }}"
-        fi
-        CMD_ARGS+=("--allowedTools" "$TOOLS")
-        
-        # Add disallowed tools
-        if [[ -n "${{ inputs.disallowed_tools }}" ]]; then
-          CMD_ARGS+=("--disallowedTools" "${{ inputs.disallowed_tools }}")
-        fi
-        
-        echo "📝 Executing Claude Code with prompt from file..."
-        
-        # Execute Claude Code with timeout, using stdin for the prompt
-        TIMEOUT_SECONDS=$((${{ inputs.timeout_minutes }} * 60))
-        timeout $TIMEOUT_SECONDS claude "${CMD_ARGS[@]}" < "${{ env.PROMPT_FILE }}"
-        
-        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

@@ -1,91 +0,0 @@
-name: "Claude Issue Triage Action"
-description: "Automatically triage GitHub issues using Claude Code"
-
-inputs:
-  timeout_minutes:
-    description: "Timeout in minutes for execution"
-    required: false
-    default: "5"
-  claude_code_oauth_token:
-    description: "Claude Code OAuth token for Pro subscription access"
-    required: true
-  github_token:
-    description: "GitHub token with repo and issues permissions"
-    required: true
-
-runs:
-  using: "composite"
-  steps:
-    - name: Checkout repository code
-      uses: actions/checkout@v4
-      with:
-        fetch-depth: 0
-
-    - name: Create prompt
-      id: generate_prompt
-      shell: bash
-      run: |
-        mkdir -p /tmp/claude-prompts
-        cat > /tmp/claude-prompts/claude-issue-triage-prompt.txt << 'EOF'
-        You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
-
-        IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels.
-
-        Issue Information:
-        - REPO: ${{ github.repository }}
-        - ISSUE_NUMBER: ${{ github.event.issue.number }}
-
-        TASK OVERVIEW:
-
-        1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
-
-        2. Next, use the GitHub tools to get context about the issue:
-           - You have access to these tools:
-             - mcp__github__get_issue: Use this to retrieve the current issue's details including title, description, and existing labels
-             - mcp__github__get_issue_comments: Use this to read any discussion or additional context provided in the comments
-             - mcp__github__update_issue: Use this to apply labels to the issue (do not use this for commenting)
-             - mcp__github__search_issues: Use this to find similar issues that might provide context for proper categorization and to identify potential duplicate issues
-             - mcp__github__list_issues: Use this to understand patterns in how other issues are labeled
-           - Start by using mcp__github__get_issue to get the issue details
-
-        3. Analyze the issue content, considering:
-           - The issue title and description
-           - The type of issue (bug report, feature request, question, etc.)
-           - Technical areas mentioned
-           - Severity or priority indicators
-           - User impact
-           - Components affected
-
-        4. Select appropriate labels from the available labels list provided above:
-           - Choose labels that accurately reflect the issue's nature
-           - Be specific but comprehensive
-           - Select priority labels if you can determine urgency (high-priority, med-priority, or low-priority)
-           - Consider platform labels (android, ios) if applicable
-           - If you find similar issues using mcp__github__search_issues, consider using a "duplicate" label if appropriate. Only do so if the issue is a duplicate of another OPEN issue.
-
-        5. Apply the selected labels:
-           - Use mcp__github__update_issue to apply your selected labels
-           - DO NOT post any comments explaining your decision
-           - DO NOT communicate directly with users
-           - If no labels are clearly applicable, do not apply any labels
-
-        IMPORTANT GUIDELINES:
-        - Be thorough in your analysis
-        - Only select labels from the provided list above
-        - DO NOT post any comments to the issue
-        - 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 }}
-        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"
-        timeout_minutes: ${{ inputs.timeout_minutes }}
-        claude_code_oauth_token: ${{ inputs.claude_code_oauth_token }}
-        github_token: ${{ inputs.github_token }} 

.github/actions/gemini/action.yml

@@ -1,88 +0,0 @@
-name: 'Gemini CLI Action'
-description: 'Uses the Gemini CLI to automate software development tasks.'
-author: 'Gemini'
-
-inputs:
-  prompt:
-    description: 'A specific prompt to guide Gemini.'
-    required: false
-    default: 'You are a helpful assistant.'
-  GEMINI_API_KEY:
-    description: 'Your Gemini API key.'
-    required: true
-  OTLP_GCP_WIF_PROVIDER:
-    description: 'The workload identity provider for GCP authentication.'
-    required: false
-  OTLP_GOOGLE_CLOUD_PROJECT:
-    description: 'The Google Cloud project for telemetry.'
-    required: false
-  settings_json:
-    description: |
-      A JSON string to configure the Gemini CLI. This will be written to .gemini/settings.json.
-      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.
-      Can be a specific version from npm (e.g., '0.1.0', 'latest'), a branch name (e.g., 'main'), or a commit hash.
-    required: false
-    default: 'latest'
-
-runs:
-  using: "composite"
-  steps:
-    - name: Configure Gemini CLI
-      if: inputs.settings_json != ''
-      run: |
-        mkdir -p .gemini
-        echo "$SETTINGS_JSON" > .gemini/settings.json
-      shell: bash
-      env:
-        SETTINGS_JSON: ${{ inputs.settings_json }}
-
-    - name: Authenticate to Google Cloud for Telemetry 
-      if: inputs.OTLP_GCP_WIF_PROVIDER != ''
-      id: auth
-      uses: 'google-github-actions/auth@v2'
-      with:
-        project_id: ${{ inputs.OTLP_GOOGLE_CLOUD_PROJECT }}
-        workload_identity_provider: ${{ inputs.OTLP_GCP_WIF_PROVIDER }}
-
-    - name: Install Gemini CLI
-      id: install
-      run: |
-        if [[ "${{ inputs.version }}" == "latest" || "${{ inputs.version }}" =~ ^[0-9]+\.[0-9]+\.[0-9]+(-[a-zA-Z0-9\.-]+)?(\+[a-zA-Z0-9\.-]+)?$ ]]; then
-          echo "Installing Gemini CLI from npm: @google/gemini-cli@${{ inputs.version }}"
-          npm install -g @google/gemini-cli@${{ inputs.version }}
-        else
-          echo "Installing Gemini CLI from GitHub: github:google-gemini/gemini-cli#${{ inputs.version }}"
-          npm install -g github:google-gemini/gemini-cli#${{ inputs.version }}
-        fi
-        echo "Verifying installation:"
-        if command -v gemini >/dev/null 2>&1; then
-          gemini --version || echo "Gemini CLI installed successfully (version command not available)"
-        else
-          echo "Error: Gemini CLI not found in PATH"
-          exit 1
-        fi
-      shell: bash
-
-    - name: Run Gemini CLI
-      run: |
-        gemini --yolo --model "$GEMINI_MODEL" --prompt "$PROMPT"
-      shell: bash
-      env:
-        GEMINI_API_KEY: ${{ inputs.GEMINI_API_KEY }}
-        GEMINI_MODEL: ${{ inputs.model }}
-        PROMPT: ${{ inputs.prompt }}
-
-branding:
-  icon: 'terminal'
-  color: 'blue'

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

@@ -1,46 +0,0 @@
-name: Auto Issue Comment
-
-on:
-  workflow_dispatch:
-#   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')
-    runs-on: ubuntu-latest
-    permissions:
-      issues: write
-    steps:
-      - name: Add claude label to trigger analysis
-        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({
-              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'
-            });

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

@@ -1,445 +0,0 @@
-name: Auto PR Comment
-
-# Review chain: CodeRabbit/Qodo/Gemini review first → Copilot → Claude (final)
-# For human PRs: CodeRabbit/Qodo auto-review → this workflow triggers Copilot → then Claude
-# 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).
-#
-# Claude trigger runs IN-BAND (same workflow) to avoid GitHub Actions
-# blocking bot-triggered workflows with action_required approval gates.
-on:
-  issue_comment:
-    types: [created]
-  pull_request_review:
-    types: [submitted]
-  pull_request:
-    types: [opened]
-
-env:
-  MAX_POLL_ATTEMPTS: 20
-  POLL_DELAY_MS: 30000
-  CLAUDE_TRIGGER_LOGINS: '["MervinPraison","github-actions[bot]"]'
-
-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')
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-    outputs:
-      pr_number: ${{ steps.trigger.outputs.pr_number }}
-      triggered: ${{ steps.trigger.outputs.triggered }}
-    steps:
-      - name: Post Copilot review request (as user via PAT)
-        id: trigger
-        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');
-              core.setOutput('triggered', 'false');
-              core.setOutput('pr_number', context.issue.number.toString());
-              return;
-            }
-            await 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'
-            });
-            core.setOutput('triggered', 'true');
-            core.setOutput('pr_number', context.issue.number.toString());
-
-  # 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
-    outputs:
-      pr_number: ${{ steps.trigger.outputs.pr_number }}
-      triggered: ${{ steps.trigger.outputs.triggered }}
-    steps:
-      - name: Post Copilot review request (as user via PAT)
-        id: trigger
-        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');
-              core.setOutput('triggered', 'false');
-              core.setOutput('pr_number', context.issue.number.toString());
-              return;
-            }
-            await 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'
-            });
-            core.setOutput('triggered', 'true');
-            core.setOutput('pr_number', context.issue.number.toString());
-
-  # ================================================================
-  # Claude FINAL review — polls for Copilot's response, then triggers
-  # This runs IN-BAND under the PAT context (MervinPraison), avoiding
-  # the action_required approval gate that blocks bot-triggered workflows.
-  # ================================================================
-  claude-after-copilot:
-    needs: [copilot-after-coderabbit]
-    if: |
-      always() &&
-      needs.copilot-after-coderabbit.result == 'success' &&
-      needs.copilot-after-coderabbit.outputs.triggered == 'true'
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    permissions:
-      issues: write
-      pull-requests: write
-    steps:
-      - name: Wait for Copilot to respond (poll)
-        id: poll
-        uses: actions/github-script@v7
-        env:
-          PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
-          MAX_POLL_ATTEMPTS: ${{ env.MAX_POLL_ATTEMPTS }}
-          POLL_DELAY_MS: ${{ env.POLL_DELAY_MS }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = parseInt(process.env.PR_NUMBER, 10);
-            const owner = context.repo.owner;
-            const repo = context.repo.repo;
-
-            // Poll for Copilot's response — check every 30s for up to 10 minutes
-            const maxAttempts = parseInt(process.env.MAX_POLL_ATTEMPTS, 10);
-            const delayMs = parseInt(process.env.POLL_DELAY_MS, 10);
-
-            for (let i = 0; i < maxAttempts; i++) {
-              console.log(`Poll attempt ${i + 1}/${maxAttempts}...`);
-
-              const comments = await github.rest.issues.listComments({
-                issue_number: pr,
-                owner,
-                repo,
-                per_page: 50,
-                sort: 'created',
-                direction: 'desc'
-              });
-
-              // Look for Copilot's response (copilot-swe-agent or Copilot)
-              const copilotResponse = comments.data.find(c =>
-                (c.user.login === 'copilot-swe-agent' ||
-                 c.user.login === 'Copilot' ||
-                 c.user.login.toLowerCase().includes('copilot')) &&
-                c.user.type === 'Bot'
-              );
-
-              if (copilotResponse) {
-                console.log(`Copilot responded at ${copilotResponse.created_at}`);
-                core.setOutput('copilot_responded', 'true');
-                return;
-              }
-
-              // Also check PR reviews for Copilot
-              const reviews = await github.rest.pulls.listReviews({
-                pull_number: pr,
-                owner,
-                repo
-              });
-
-              const copilotReview = reviews.data.find(r =>
-                r.user.login.toLowerCase().includes('copilot')
-              );
-
-              if (copilotReview) {
-                console.log(`Copilot review submitted at ${copilotReview.submitted_at}`);
-                core.setOutput('copilot_responded', 'true');
-                return;
-              }
-
-              if (i < maxAttempts - 1) {
-                console.log(`Copilot hasn't responded yet, waiting ${delayMs/1000}s...`);
-                await new Promise(resolve => setTimeout(resolve, delayMs));
-              }
-            }
-
-            console.log('Copilot did not respond within timeout, triggering Claude anyway');
-            core.setOutput('copilot_responded', 'timeout');
-
-      - name: Check if Claude already triggered
-        id: check_claude
-        uses: actions/github-script@v7
-        env:
-          PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
-          TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = parseInt(process.env.PR_NUMBER, 10);
-            const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
-            const comments = await github.rest.issues.listComments({
-              issue_number: pr,
-              owner: context.repo.owner,
-              repo: context.repo.repo
-            });
-            const alreadyPosted = comments.data.some(c =>
-              c.body.includes('@claude') && triggerLogins.includes(c.user.login)
-            );
-            core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
-
-      - name: Trigger Claude final review
-        if: steps.check_claude.outputs.already_triggered != 'true'
-        uses: actions/github-script@v7
-        env:
-          PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = parseInt(process.env.PR_NUMBER, 10);
-            await github.rest.issues.createComment({
-              issue_number: pr,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body: '@claude You are the FINAL architecture reviewer. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
-            });
-            console.log(`Claude triggered on PR #${pr}`);
-
-  # ================================================================
-  # Claude after Qodo fallback path (same polling approach)
-  # ================================================================
-  claude-after-copilot-qodo:
-    needs: [copilot-after-qodo]
-    if: |
-      always() &&
-      needs.copilot-after-qodo.result == 'success' &&
-      needs.copilot-after-qodo.outputs.triggered == 'true'
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    permissions:
-      issues: write
-      pull-requests: write
-    steps:
-      - name: Wait for Copilot to respond (poll)
-        id: poll
-        uses: actions/github-script@v7
-        env:
-          PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
-          MAX_POLL_ATTEMPTS: ${{ env.MAX_POLL_ATTEMPTS }}
-          POLL_DELAY_MS: ${{ env.POLL_DELAY_MS }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = parseInt(process.env.PR_NUMBER, 10);
-            const owner = context.repo.owner;
-            const repo = context.repo.repo;
-            const maxAttempts = parseInt(process.env.MAX_POLL_ATTEMPTS, 10);
-            const delayMs = parseInt(process.env.POLL_DELAY_MS, 10);
-
-            for (let i = 0; i < maxAttempts; i++) {
-              console.log(`Poll attempt ${i + 1}/${maxAttempts}...`);
-              const comments = await github.rest.issues.listComments({
-                issue_number: pr, owner, repo,
-                per_page: 50, sort: 'created', direction: 'desc'
-              });
-              const copilotResponse = comments.data.find(c =>
-                (c.user.login === 'copilot-swe-agent' ||
-                 c.user.login === 'Copilot' ||
-                 c.user.login.toLowerCase().includes('copilot')) &&
-                c.user.type === 'Bot'
-              );
-              if (copilotResponse) {
-                console.log(`Copilot responded at ${copilotResponse.created_at}`);
-                core.setOutput('copilot_responded', 'true');
-                return;
-              }
-              const reviews = await github.rest.pulls.listReviews({
-                pull_number: pr, owner, repo
-              });
-              const copilotReview = reviews.data.find(r =>
-                r.user.login.toLowerCase().includes('copilot')
-              );
-              if (copilotReview) {
-                console.log(`Copilot review submitted at ${copilotReview.submitted_at}`);
-                core.setOutput('copilot_responded', 'true');
-                return;
-              }
-              if (i < maxAttempts - 1) {
-                await new Promise(resolve => setTimeout(resolve, delayMs));
-              }
-            }
-            console.log('Copilot did not respond within timeout, triggering Claude anyway');
-            core.setOutput('copilot_responded', 'timeout');
-
-      - name: Check if Claude already triggered
-        id: check_claude
-        uses: actions/github-script@v7
-        env:
-          PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
-          TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = parseInt(process.env.PR_NUMBER, 10);
-            const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
-            const comments = await github.rest.issues.listComments({
-              issue_number: pr,
-              owner: context.repo.owner,
-              repo: context.repo.repo
-            });
-            const alreadyPosted = comments.data.some(c =>
-              c.body.includes('@claude') && triggerLogins.includes(c.user.login)
-            );
-            core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
-
-      - name: Trigger Claude final review
-        if: steps.check_claude.outputs.already_triggered != 'true'
-        uses: actions/github-script@v7
-        env:
-          PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const pr = parseInt(process.env.PR_NUMBER, 10);
-            await github.rest.issues.createComment({
-              issue_number: pr,
-              owner: context.repo.owner,
-              repo: context.repo.repo,
-              body: '@claude You are the FINAL architecture reviewer. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n\n**Phase 2: FIX Valid Issues**\n4. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n5. Push all code fixes directly to THIS branch (do NOT create a new PR)\n6. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n7. If all issues are resolved, approve the PR / close the Issue\n8. If blocking issues remain, request changes / leave clear action items'
-            });
-            console.log(`Claude triggered on PR #${pr}`);
-
-  # ================================================================
-  # Claude after Gemini — restores the trigger lost from the deleted
-  # chain-claude-after-copilot.yml workflow.
-  # Fires when Gemini posts a review comment on a PR or issue.
-  # ================================================================
-  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: Check if Claude already triggered
-        id: check_claude
-        uses: actions/github-script@v7
-        env:
-          TRIGGER_LOGINS: ${{ env.CLAUDE_TRIGGER_LOGINS }}
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            const triggerLogins = JSON.parse(process.env.TRIGGER_LOGINS);
-            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('@claude') && triggerLogins.includes(c.user.login)
-            );
-            core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
-
-      - name: Post Claude analysis request (Lead Engineer)
-        if: steps.check_claude.outputs.already_triggered != 'true'
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ secrets.GH_TOKEN }}
-          script: |
-            await 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'
-            });
-
-  # ================================================================
-  # 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.');

.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/build-image.yml

@@ -1,41 +0,0 @@
-name: Build Claude Code Image
-
-on:
-  workflow_dispatch:
-    inputs:
-      version:
-        description: 'Image version tag'
-        required: true
-        default: 'latest'
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    permissions:
-      contents: read
-      packages: write
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GH_TOKEN }}
-
-      - name: Build and push Docker image
-        uses: docker/build-push-action@v5
-        with:
-          context: ./.github/actions/claude-code-action
-          push: true
-          platforms: linux/amd64
-          tags: ghcr.io/mervinpraison/praisonai-claudecode:${{ inputs.version }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-          provenance: false 

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

@@ -1,35 +0,0 @@
-name: Claude Issue Triage
-description: "Automatically triage GitHub issues using Claude Code"
-
-on:
-  workflow_dispatch:
-#   issues:
-#     types: [opened]
-
-jobs:
-  triage-issue:
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-    permissions:
-      contents: read
-      issues: write
-      id-token: write
-    steps:
-      - 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 }}
-          owner: ${{ github.repository_owner }}
-
-      - name: Checkout repository
-        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683  # v4
-        with:
-          token: ${{ steps.app-token.outputs.token }}
-
-      - 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 }} 

.github/workflows/claude-oauth.yml

@@ -1,21 +0,0 @@
-name: Claude OAuth
-
-on:
-  workflow_dispatch:
-    inputs:
-      code:
-        description: 'Authorization code (leave empty for step 1)'
-        required: false
-
-permissions:
-  actions: write  # Required for cache management
-  contents: read  # Required for basic repository access
-
-jobs:
-  auth:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: grll/claude-code-login@v1
-        with:
-          code: ${{ inputs.code }}
-          secrets_admin_pat: ${{ secrets.SECRETS_ADMIN_PAT }} 

.github/workflows/claude.yml

@@ -1,247 +0,0 @@
-name: Claude Assistant
-
-on:
-  issue_comment:
-    types: [created]
-  pull_request_review_comment:
-    types: [created]
-  issues:
-    types: [assigned, labeled, opened]
-  pull_request_review:
-    types: [submitted]
-
-jobs:
-  # ================================================================
-  # Job 1: Lightweight triage for ALL new issues (including external users)
-  # Posts welcome comment + adds triage labels. No Claude code execution.
-  # ================================================================
-  issue-triage:
-    if: |
-      github.event_name == 'issues' &&
-      github.event.action == 'opened' &&
-      !contains(toJSON(github.event.issue.labels), 'claude')
-    runs-on: ubuntu-latest
-    permissions:
-      issues: write
-      contents: read
-    steps:
-      - 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 }}
-          owner: ${{ github.repository_owner }}
-
-      - name: Triage and acknowledge issue
-        uses: actions/github-script@v7
-        with:
-          github-token: ${{ steps.app-token.outputs.token }}
-          script: |
-            const issue = context.payload.issue;
-            const title = (issue.title || '').toLowerCase();
-            const body = (issue.body || '').toLowerCase();
-            const content = title + ' ' + body;
-            const isOwner = ['OWNER', 'MEMBER', 'COLLABORATOR'].includes(
-              issue.author_association
-            );
-
-            // --- Label triage ---
-            const labels = [];
-
-            // Kind labels
-            if (content.includes('feature request') || content.includes('[feature')) {
-              labels.push('enhancement');
-            } else if (content.includes('bug') || content.includes('error') || content.includes('crash') || content.includes('traceback')) {
-              labels.push('bug');
-            } else if (content.includes('question') || content.includes('how do i') || content.includes('how to')) {
-              labels.push('question');
-            }
-
-            // Area labels
-            if (content.includes('security') || content.includes('cve') || content.includes('vulnerability')) {
-              labels.push('security');
-            }
-            if (content.includes('performance') || content.includes('slow') || content.includes('memory leak')) {
-              labels.push('performance');
-            }
-            if (content.includes('documentation') || content.includes('docs')) {
-              labels.push('documentation');
-            }
-            if (content.includes('typescript') || content.includes('javascript') || content.includes('npm')) {
-              labels.push('javascript');
-            }
-
-            // Apply labels
-            if (labels.length > 0) {
-              await github.rest.issues.addLabels({
-                issue_number: issue.number,
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                labels
-              });
-            }
-
-            // --- Acknowledgment comment (external users only) ---
-            if (!isOwner) {
-              await github.rest.issues.createComment({
-                issue_number: issue.number,
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                body: [
-                  `👋 Thanks for opening this issue, @${issue.user.login}!`,
-                  '',
-                  'A maintainer will review this shortly. In the meantime:',
-                  '- Make sure you\'ve included steps to reproduce (for bugs)',
-                  '- Check [existing issues](https://github.com/MervinPraison/PraisonAI/issues) for duplicates',
-                  '- Review the [documentation](https://docs.praison.ai) for related guides',
-                  '',
-                  '_A maintainer can trigger deeper analysis by commenting `@claude` on this issue._'
-                ].join('\n')
-              });
-            }
-
-            // --- For owner: add 'claude' label to trigger the code-fix job ---
-            if (isOwner) {
-              await github.rest.issues.addLabels({
-                issue_number: issue.number,
-                owner: context.repo.owner,
-                repo: context.repo.repo,
-                labels: ['claude']
-              });
-            }
-
-  # ================================================================
-  # Job 2: Full Claude code-fix (owner/collaborator only)
-  # Triggers on: labeled 'claude', @claude comments, assignments
-  # ================================================================
-  claude-response:
-    # Allow: human users, github-actions[bot] (auto-comments/labels)
-    # Block: dependabot, cursor, renovate, other bots
-    # Skip 'opened' events — triage job handles those above
-    if: |
-      github.event.action != 'opened' &&
-      (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]'
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write
-      pull-requests: write
-      issues: write
-      actions: read
-      id-token: write
-    steps:
-      - 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 }}
-          owner: ${{ github.repository_owner }}
-
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          token: ${{ steps.app-token.outputs.token }}
-
-      - uses: anthropics/claude-code-action@beta
-        env:
-          GH_TOKEN: ${{ steps.app-token.outputs.token }}
-        with:
-          allowed_bots: 'praisonai-triage-agent[bot]'
-          claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
-          github_token: ${{ steps.app-token.outputs.token }}
-          trigger_phrase: "@claude"
-          label_trigger: "claude"
-
-          direct_prompt: |
-            You are working on the PraisonAI SDK. Follow AGENTS.md strictly.
-
-            STEP 0 — SETUP GIT IDENTITY & AUTH (GLOBAL — required for all repos):
-            git config --global user.name "MervinPraison"
-            git config --global user.email "[email protected]"
-            gh auth setup-git
-
-
-            STEP 1 — READ GUIDELINES:
-            Read AGENTS.md to understand the architecture rules.
-
-            STEP 2 — ARCHITECTURE VALIDATION & ROUTING (MANDATORY before writing code):
-            Before implementing anything, answer these questions:
-            - CORE vs WRAPPER vs TOOLS vs DOCS vs PLUGINS ROUTING:
-              1. Core SDK (praisonaiagents/): Only core protocols, base classes, decorators. No heavy implementations.
-              2. Wrapper (praisonai/): CLI, heavy implementations, optional dependencies.
-              3. Tools (PraisonAI-Tools): Capabilities Agents actively call during execution (e.g. SurrealDB tool, Slack tool).
-              4. Documentation (PraisonAIDocs): Documentation pages, guides, API references.
-              5. Plugins (PraisonAI-Plugins): Framework lifecycle extensions replacing systemic behavior (e.g. tracing, logging, metrics, hooks, guardrails).
-              For items routed to an EXTERNAL repository (Tools, Docs, Plugins), follow STEP 3-ALT below.
-            - 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 conceptual checks fail (excluding routing), add a comment to the issue explaining why and close it. Do NOT create a PR.
-
-            STEP 3 — IMPLEMENT (for changes in THIS repo — PraisonAI):
-            - 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 3-ALT — IMPLEMENT IN EXTERNAL REPO (for PraisonAI-Tools, PraisonAIDocs, PraisonAI-Plugins):
-            When work must happen in a different repository, follow these steps EXACTLY. Do NOT attempt to use `cd`, as directory state is not preserved. Use `git -C` for all commands.
-            a) Clone the repository:
-               gh repo clone MervinPraison/<REPO_NAME> /tmp/<REPO_NAME>
-            b) Copy GitHub authentication from the main repository so push works seamlessly:
-               git -C /tmp/<REPO_NAME> config http."https://github.com/".extraheader "$(git config --get http."https://github.com/".extraheader)"
-            c) Create a feature branch (NEVER commit to main):
-               git -C /tmp/<REPO_NAME> checkout -b claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)
-            d) Make your changes using absolute paths (e.g. edit /tmp/<REPO_NAME>/docs.json)
-            e) Commit:
-               git -C /tmp/<REPO_NAME> add -A
-               git -C /tmp/<REPO_NAME> commit -m "feat: <description> (fixes #$ISSUE_NUMBER)"
-            f) Push the branch:
-               git -C /tmp/<REPO_NAME> push origin claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)
-            g) Create PR in the EXTERNAL repo:
-               gh pr create -R MervinPraison/<REPO_NAME> --head claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d) --title "feat: <title>" --body "Fixes MervinPraison/PraisonAI#$ISSUE_NUMBER
-
-               <body>"
-
-            STEP 4 — TEST:
-            - For SDK changes: cd src/praisonai-agents && PYTHONPATH=. python -m pytest tests/ -x -q --timeout=30
-            - For docs changes: verify files exist and are valid markdown/MDX
-            - Ensure no regressions
-
-            STEP 5 — CREATE PR:
-            - Commit with descriptive message, push, and create PR using `gh pr create`
-            - For external repos, use `gh pr create -R MervinPraison/<REPO_NAME>`
-            CRITICAL: You MUST create the PR automatically using `gh pr create`. Do NOT just provide a link or say "manual push required".
-            NOTE: If you worked on an external repo, the wrapper action will report "No commits" for the main repo at the end. This is expected, do not worry about it.
-          allowed_tools: |
-            Bash(git:*)
-            Bash(python:*)
-            Bash(pip:*)
-            Bash(conda:*)
-            Bash(pytest:*)
-            Bash(gh:*)
-            Bash(python -m pytest:*)
-            Bash(python -m pip:*)
-            Bash(poetry:*)
-            View
-            GlobTool
-            GrepTool
-            BatchTool
-            Edit
-            Replace
-            mcp__github__get_issue
-            mcp__github__get_issue_comments
-            mcp__github__update_issue
-          timeout_minutes: 30

.github/workflows/docker-publish.yml

@@ -1,54 +0,0 @@
-name: Publish Docker
-
-on:
-  release:
-    types: [published]
-  workflow_dispatch:
-    inputs:
-      tag:
-        description: 'Docker image tag (default: latest)'
-        required: false
-        default: 'latest'
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      packages: write
-    
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to GitHub Container Registry
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Extract metadata for Docker
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: ghcr.io/mervinpraison/praisonai
-          tags: |
-            type=raw,value=latest,enable=${{ github.event_name == 'release' }}
-            type=semver,pattern={{version}},enable=${{ github.event_name == 'release' }}
-            type=semver,pattern={{major}}.{{minor}},enable=${{ github.event_name == 'release' }}
-            type=raw,value=${{ github.event.inputs.tag || 'latest' }},enable=${{ github.event_name == 'workflow_dispatch' }}
-
-      - name: Build and push Docker image
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          file: ./docker/Dockerfile
-          push: true
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max

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

@@ -1,78 +0,0 @@
-name: Gemini Automated Issue Triage
-
-# on:
-#   issue_comment:
-#     types: [created]
-on:
-  workflow_dispatch:
-
-jobs:
-  triage-issue:
-    if: >
-      github.event_name == 'issue_comment' &&
-      !github.event.issue.pull_request &&
-      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')
-    timeout-minutes: 5
-    permissions:
-      issues: write
-      contents: read
-      id-token: write
-    concurrency:
-      group: ${{ github.workflow }}-${{ github.event.issue.number }}
-      cancel-in-progress: true
-    runs-on: ubuntu-latest
-    steps:
-      - name: Generate GitHub App Token
-        id: generate_token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.APP_ID }}
-          private-key: ${{ secrets.PRIVATE_KEY }}
-
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          token: ${{ steps.generate_token.outputs.token }}
-
-      - name: Run Gemini Issue Triage
-        uses: google-gemini/gemini-cli-action@main
-        env:
-          GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
-          ISSUE_TITLE: ${{ github.event.issue.title }}
-          ISSUE_BODY: ${{ github.event.issue.body }}
-          ISSUE_NUMBER: ${{ github.event.issue.number }}
-          REPOSITORY: ${{ github.repository }}
-        with:
-          version: 0.1.8-rc.0
-          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 }}
-          settings_json: |
-            {
-              "coreTools": [
-                "run_shell_command(gh label list)",
-                "run_shell_command(gh issue edit)"
-              ],
-              "telemetry": {
-                "enabled": true,
-                "target": "gcp"
-              },
-              "sandbox": false
-            }
-          prompt: |
-            You are an issue triage assistant. Analyze the current GitHub issue and apply the most appropriate existing labels.
-
-            Steps:
-            1. Run: `gh label list --limit 100` to get all available labels.
-            2. Review the issue title and body provided in the environment variables.
-            3. Select the most relevant labels from the existing labels, focusing on kind/*, area/*, and priority/*.
-            4. Apply the selected labels to this issue using: `gh issue edit ISSUE_NUMBER --add-label "label1,label2"`
-
-            Guidelines:
-            - Only use labels that already exist in the repository.
-            - Do not add comments or modify the issue content.
-            - Triage only the current issue.
-            - Assign all applicable kind/*, area/*, and priority/* labels based on the issue content.

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

@@ -1,200 +0,0 @@
-name: Gemini Issue Review
-
-on:
-  workflow_dispatch:
-#   issue_comment:
-#     types: [created]
-
-permissions:
-  contents: write
-  issues: write
-  pull-requests: read
-
-jobs:
-  review-issue:
-    if: >
-      github.event_name == 'workflow_dispatch' ||
-      (github.event_name == 'issue_comment' && 
-       !github.event.issue.pull_request && 
-       contains(github.event.comment.body, '@gemini') &&
-       !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'))
-    runs-on: ubuntu-latest
-    env:
-      GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
-    steps:
-      - name: Generate token
-        id: generate_token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.APP_ID }}
-          private-key: ${{ secrets.PRIVATE_KEY }}
-
-      - name: Checkout repository
-        uses: actions/checkout@v4
-        with:
-          token: ${{ steps.generate_token.outputs.token }}
-
-      - name: Set up Git
-        run: |
-          git config --local user.email "[email protected]"
-          git config --local user.name "MervinPraison"
-
-      - name: Get issue data
-        id: issue_data
-        env:
-          GH_TOKEN: ${{ steps.generate_token.outputs.token }}
-          # Pass user-controlled inputs via environment variables to prevent script injection (GHSL-2025-093)
-          EVENT_NAME: ${{ github.event_name }}
-          EVENT_ISSUE_NUMBER: ${{ github.event.issue.number }}
-          EVENT_COMMENT_BODY: ${{ github.event.comment.body }}
-        run: |
-          # Get issue number from event or context
-          if [ "$EVENT_NAME" = "issue_comment" ]; then
-            ISSUE_NUMBER="$EVENT_ISSUE_NUMBER"
-          elif [ "$EVENT_NAME" = "issues" ]; then
-            ISSUE_NUMBER="$EVENT_ISSUE_NUMBER"
-          else
-            echo "Unable to determine issue number"
-            exit 1
-          fi
-          
-          # Get issue details
-          gh issue view $ISSUE_NUMBER --json title,body,labels,assignees > issue_details.json
-          
-          # Extract additional instructions from comment if triggered by comment
-          ADDITIONAL_INSTRUCTIONS=""
-          if [ "$EVENT_NAME" = "issue_comment" ]; then
-            COMMENT_BODY="$EVENT_COMMENT_BODY"
-            ADDITIONAL_INSTRUCTIONS=$(echo "$COMMENT_BODY" | sed -n 's/.*@gemini[[:space:]]*\(.*\)/\1/p' | head -1)
-          fi
-          
-          echo "ISSUE_NUMBER=$ISSUE_NUMBER" >> $GITHUB_OUTPUT
-          echo "ADDITIONAL_INSTRUCTIONS=$ADDITIONAL_INSTRUCTIONS" >> $GITHUB_OUTPUT
-
-      - name: Run Gemini CLI
-        uses: google-github-actions/run-gemini-cli@v0
-        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: ${{ secrets.GEMINI_API_KEY }}
-          gemini_model: 'gemini-2.5-flash'
-          prompt: |
-            You are a helpful GitHub issue assistant. Your task is to analyze and help with GitHub issues.
-            
-            **Issue Details:**
-            - Issue Number: #${ISSUE_NUMBER}
-            - Repository: ${REPOSITORY}
-            - Issue URL: ${{ github.event.issue.html_url }}
-            
-            **Additional Instructions:** ${ADDITIONAL_INSTRUCTIONS}
-            
-            **CRITICAL: When making code modifications, follow this EXACT workflow:**
-            
-            **STEP 1: Analyze the Issue**
-            - Use: `gh issue view ${ISSUE_NUMBER} --json title,body,labels,assignees`
-            - Analyze issue content thoroughly
-            - Search codebase for related files using `glob`, `search_file_content`, `list_directory`
-            
-            **STEP 2: If Code Changes Are Needed**
-            MANDATORY FIRST STEP: Before writing any code, you MUST use `read_file` to carefully read "src/praisonai-agents/AGENTS.md". You must honor this repository's extremely specific Architecture, Protocol-First design rules, and Agent-Centric Philosophy!
-            
-            Create a new branch with 'gemini/' prefix:
-            - Use: `git checkout -b gemini/issue-${ISSUE_NUMBER}-description`
-            - Example: `git checkout -b gemini/issue-123-fix-sequential-tools`
-            
-            **STEP 3: Make Code Modifications**
-            - Use `read_file` to examine existing code
-            - Use `write_file` or `replace` to make changes
-            - Use `search_file_content` to find related code
-            - Make focused, targeted changes to fix the issue
-            
-            **STEP 4: Test Changes (if applicable)**
-            - Run relevant tests if test files exist
-            - Use `run_shell_command` to execute test commands
-            
-            **STEP 5: Commit and Push Changes**
-            - Use: `git add .` (or specific files)
-            - Use: `git commit -m "Gemini: [Issue #${ISSUE_NUMBER}] Brief description of fix"`
-            - Use: `git push -u origin gemini/issue-${ISSUE_NUMBER}-description`
-            
-            **STEP 6: Create Pull Request**
-            - Use: `gh pr create --title "Fix #${ISSUE_NUMBER}: Issue description" --body "Fixes #${ISSUE_NUMBER}\n\nSummary of changes:\n- Change 1\n- Change 2" --head gemini/issue-${ISSUE_NUMBER}-description --base main`
-            - This will return a PR URL like: https://github.com/repo/pull/123
-            
-            **STEP 7: Comment on Issue with Results**
-            Use: `gh issue comment ${ISSUE_NUMBER} -b "MESSAGE"`
-            
-            **Your final comment MUST include:**
-            - Summary of what was analyzed
-            - What changes were made (if any)
-            - Link to the created PR (if applicable)
-            - Brief explanation of the solution
-            
-            **Example final comment:**
-            ```
-            Hi! I've analyzed and fixed this issue.
-            
-            **Problem:** Sequential tool calling was getting stuck after first tool call.
-            
-            **Solution:** Added proper prompt handling after each tool call in the Ollama model integration.
-            
-            **Changes Made:**
-            - Modified `src/praisonai-agents/ollama-sequential.py`
-            - Added continuation prompts for multi-step tool execution
-            
-            **Pull Request:** https://github.com/MervinPraison/PraisonAI/pull/856
-            
-            The fix is ready for review. Please test and let me know if you encounter any issues!
-            ```
-            
-            **IMPORTANT NOTES:**
-            - Always create branches with 'gemini/' prefix
-            - Always include issue number in branch name and commit message
-            - Always create PR that references the issue
-            - Always provide PR link in your final response
-            - Use the GITHUB_TOKEN environment variable for authentication
-            
-            Please proceed with helping resolve this issue following this exact workflow.
-
-          settings: |
-            {
-              "coreTools": [
-                "run_shell_command(echo)",
-                "run_shell_command(gh issue view)",
-                "run_shell_command(gh issue comment)",
-                "run_shell_command(gh issue list)",
-                "run_shell_command(gh issue edit)",
-                "run_shell_command(gh pr create)",
-                "run_shell_command(gh pr view)",
-                "run_shell_command(gh pr list)",
-                "run_shell_command(cat)",
-                "run_shell_command(head)",
-                "run_shell_command(tail)",
-                "run_shell_command(grep)",
-                "run_shell_command(find)",
-                "run_shell_command(git checkout)",
-                "run_shell_command(git add)",
-                "run_shell_command(git commit)",
-                "run_shell_command(git push)",
-                "run_shell_command(git status)",
-                "run_shell_command(git branch)",
-                "list_directory",
-                "read_file",
-                "read_many_files",
-                "write_file",
-                "replace",
-                "glob",
-                "search_file_content",
-                "web_fetch",
-                "google_web_search",
-                "save_memory"
-              ]
-            }

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

@@ -1,250 +0,0 @@
-name: Gemini PR Review
-
-on:
-#   issue_comment:
-#     types: [created]
-  workflow_dispatch:
-    inputs:
-      pr_number:
-        description: 'PR number to review'
-        required: true
-        type: number
-
-jobs:
-  review-pr:
-    if: >
-      github.event_name == 'workflow_dispatch' ||
-      (github.event_name == 'issue_comment' && 
-       github.event.issue.pull_request && 
-       contains(github.event.comment.body, '@gemini') &&
-       (github.event.comment.author_association == 'OWNER' ||
-        github.event.comment.author_association == 'MEMBER' ||
-        github.event.comment.author_association == 'COLLABORATOR'))
-    timeout-minutes: 15
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      id-token: write
-      pull-requests: write
-      issues: write
-    steps:
-      - name: Generate GitHub App Token
-        id: generate_token
-        uses: actions/create-github-app-token@v1
-        with:
-          app-id: ${{ secrets.APP_ID }}
-          private-key: ${{ secrets.PRIVATE_KEY }}
-
-      - name: Determine checkout ref
-        id: checkout_ref
-        run: |
-          if [ "${{ github.event_name }}" = "issue_comment" ]; then
-            echo "ref=refs/pull/${{ github.event.issue.number }}/head" >> "$GITHUB_OUTPUT"
-          else
-            echo "ref=${{ github.event.pull_request.head.sha }}" >> "$GITHUB_OUTPUT"
-          fi
-
-      - name: Checkout PR code
-        uses: actions/checkout@v4
-        with:
-          token: ${{ steps.generate_token.outputs.token }}
-          ref: ${{ steps.checkout_ref.outputs.ref }}
-          fetch-depth: 0
-
-      - name: Get PR details
-        id: get_pr
-        env:
-          GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
-          # Pass user-controlled inputs via environment variables to prevent script injection (GHSL-2025-093)
-          EVENT_NAME: ${{ github.event_name }}
-          EVENT_INPUTS_PR_NUMBER: ${{ github.event.inputs.pr_number }}
-          EVENT_ISSUE_NUMBER: ${{ github.event.issue.number }}
-          EVENT_PR_NUMBER: ${{ github.event.pull_request.number }}
-          EVENT_COMMENT_BODY: ${{ github.event.comment.body }}
-        run: |
-          if [ "$EVENT_NAME" = "workflow_dispatch" ]; then
-            PR_NUMBER=$EVENT_INPUTS_PR_NUMBER
-          elif [ "$EVENT_NAME" = "issue_comment" ]; then
-            PR_NUMBER=$EVENT_ISSUE_NUMBER
-          else
-            PR_NUMBER=$EVENT_PR_NUMBER
-          fi
-          
-          echo "pr_number=$PR_NUMBER" >> "$GITHUB_OUTPUT"
-          
-          # Extract additional instructions from comment (if triggered by comment)
-          ADDITIONAL_INSTRUCTIONS=""
-          if [ "$EVENT_NAME" = "issue_comment" ]; then
-            COMMENT_BODY="$EVENT_COMMENT_BODY"
-            ADDITIONAL_INSTRUCTIONS=$(echo "$COMMENT_BODY" | sed 's/.*@gemini//' | xargs)
-          fi
-          echo "additional_instructions=$ADDITIONAL_INSTRUCTIONS" >> "$GITHUB_OUTPUT"
-          
-          # Get PR details
-          PR_DATA=$(gh pr view $PR_NUMBER --json title,body,additions,deletions,changedFiles,baseRefName,headRefName)
-          echo "pr_data=$PR_DATA" >> "$GITHUB_OUTPUT"
-          
-          # Get file changes
-          CHANGED_FILES=$(gh pr diff $PR_NUMBER --name-only)
-          echo "changed_files<<EOF" >> "$GITHUB_OUTPUT"
-          echo "$CHANGED_FILES" >> "$GITHUB_OUTPUT"
-          echo "EOF" >> "$GITHUB_OUTPUT"
-
-      - name: Run Gemini PR Review
-        uses: ./.github/actions/gemini
-        env:
-          GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
-          PR_NUMBER: ${{ steps.get_pr.outputs.pr_number }}
-          PR_DATA: ${{ steps.get_pr.outputs.pr_data }}
-          CHANGED_FILES: ${{ steps.get_pr.outputs.changed_files }}
-          ADDITIONAL_INSTRUCTIONS: ${{ steps.get_pr.outputs.additional_instructions }}
-          REPOSITORY: ${{ github.repository }}
-        with:
-          version: 0.1.8-rc.0
-          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
-          OTLP_GCP_WIF_PROVIDER: ${{ secrets.OTLP_GCP_WIF_PROVIDER }}
-          OTLP_GOOGLE_CLOUD_PROJECT: ${{ secrets.OTLP_GOOGLE_CLOUD_PROJECT }}
-          settings_json: |
-            {
-              "coreTools": [
-                "run_shell_command(echo)",
-                "run_shell_command(gh pr view)",
-                "run_shell_command(gh pr diff)",
-                "run_shell_command(gh pr comment)",
-                "run_shell_command(gh pr list)",
-                "run_shell_command(cat)",
-                "run_shell_command(head)",
-                "run_shell_command(tail)",
-                "run_shell_command(grep)",
-                "run_shell_command(find)",
-                "run_shell_command(git checkout)",
-                "run_shell_command(git add)",
-                "run_shell_command(git commit)",
-                "run_shell_command(git push)",
-                "run_shell_command(git status)",
-                "run_shell_command(git branch)",
-                "run_shell_command(git fetch)",
-                "list_directory",
-                "read_file",
-                "read_many_files",
-                "write_file",
-                "replace",
-                "glob",
-                "search_file_content",
-                "web_fetch",
-                "google_web_search",
-                "save_memory"
-              ],
-              "telemetry": {
-                "enabled": false,
-                "target": "gcp"
-              },
-              "sandbox": false
-            }
-          prompt: |
-            You are an expert code reviewer and AI assistant for Pull Requests. You can review code AND make modifications to improve the PR.
-
-            **PR Details:**
-            - PR Number: #$PR_NUMBER
-            - Repository: $REPOSITORY
-            - Additional Instructions: $ADDITIONAL_INSTRUCTIONS
-
-            **CRITICAL: When making code modifications, follow this EXACT workflow:**
-
-            **STEP 1: Analyze the PR**
-            - Use: `echo "$PR_DATA"` to get PR details (JSON format)
-            - Use: `echo "$CHANGED_FILES"` to get changed files list
-            - Use: `gh pr diff ${PR_NUMBER}` to see the full diff
-            - Use: `gh pr view ${PR_NUMBER} --json title,body,headRefName` to get PR info
-            - 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 ${PR_NUMBER} --json headRefName`
-            - Switch to PR branch: `git checkout BRANCH_NAME` (use actual branch name from PR)
-            - Use: `git pull origin BRANCH_NAME` to get latest PR changes
-
-            **STEP 3: Make Code Modifications**
-            - Use `read_file` to examine existing code
-            - Use `write_file` or `replace` to make improvements
-            - Use `search_file_content` to find related code
-            - Make focused, targeted improvements to the PR
-
-            **STEP 4: Test Changes (if applicable)**
-            - Run relevant tests if test files exist
-            - Use `run_shell_command` to execute test commands
-
-            **STEP 5: Commit and Push Changes to EXISTING PR Branch**
-            - Use: `git add .` (or specific files)
-            - Use: `git commit -m "Gemini: [PR #${PR_NUMBER}] Brief description of improvements"`
-            - Use: `git push origin BRANCH_NAME` (push to EXISTING PR branch)
-
-            **STEP 6: Review and Comment on PR**
-            Write comprehensive review and post comment with your analysis and any improvements made.
-            Use: `gh pr comment ${PR_NUMBER} -b "MESSAGE"`
-
-            Review Guidelines:
-            - Focus on code quality, security, performance, and maintainability
-            - Check for common issues: potential bugs, security vulnerabilities, performance bottlenecks
-            - Verify error handling and edge cases
-            - Look for code style and best practices
-            - Comment on architecture and design decisions if significant
-            - Be constructive and specific in feedback
-            - Highlight both issues and positive aspects
-            - Suggest improvements with examples when possible
-            
-            Review Areas:
-            - **Security**: Authentication, authorization, input validation, data sanitization
-            - **Performance**: Algorithms, database queries, caching, resource usage
-            - **Reliability**: Error handling, logging, testing coverage, edge cases
-            - **Maintainability**: Code structure, documentation, naming conventions
-            - **Functionality**: Logic correctness, requirements fulfillment
-            
-            Output Format:
-            Structure your review using this exact format with markdown:
-
-            ## 📋 Review Summary
-            Provide a brief 2-3 sentence overview of the PR and overall assessment.
-
-            ## 🔍 General Feedback
-            - List general observations about code quality
-            - Mention overall patterns or architectural decisions
-            - Highlight positive aspects of the implementation
-            - Note any recurring themes across files
-
-            ## 🎯 Specific Feedback
-            Only include sections below that have actual issues. If there are no issues in a priority category, omit that entire section.
-
-            ### 🔴 Critical
-            (Only include this section if there are critical issues)
-            Issues that must be addressed before merging (security vulnerabilities, breaking changes, major bugs):
-            - **File: `filename:line`** - Description of critical issue with specific recommendation
-
-            ### 🟡 High
-            (Only include this section if there are high priority issues)
-            Important issues that should be addressed (performance problems, design flaws, significant bugs):
-            - **File: `filename:line`** - Description of high priority issue with suggested fix
-
-            ### 🟢 Medium
-            (Only include this section if there are medium priority issues)
-            Improvements that would enhance code quality (style issues, minor optimizations, better practices):
-            - **File: `filename:line`** - Description of medium priority improvement
-
-            ### 🔵 Low
-            (Only include this section if there are suggestions)
-            Nice-to-have improvements and suggestions (documentation, naming, minor refactoring):
-            - **File: `filename:line`** - Description of suggestion or enhancement
-
-            **Note**: If no specific issues are found in any category, simply state "No specific issues identified in this review."
-
-            ## ✅ Highlights
-            (Only include this section if there are positive aspects to highlight)
-            - Mention specific good practices or implementations
-            - Acknowledge well-written code sections
-            - Note improvements from previous versions
-
-            ---
-            *Review completed by Gemini CLI*

.github/workflows/python-package.yml

@@ -1,41 +0,0 @@
-name: Python Package (Multi-Version)
-
-on:
-  schedule:
-    - cron: '0 4 * * 1'  # Weekly Monday 4am UTC
-  workflow_dispatch:
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: ["3.10", "3.11", "3.12"]
-
-    steps:
-    - uses: actions/checkout@v4
-
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ matrix.python-version }}
-
-    - name: Set environment variables
-      run: |
-        echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
-        echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
-        echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
-
-    - name: Install dependencies
-      run: |
-        cd src/praisonai
-        python -m pip install --upgrade pip
-        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 "praisonaiagents[knowledge]"
-
-    - name: Run tests
-      run: |
-        cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --timeout=60 || echo "Some tests failed"

.github/workflows/python-publish.yml

@@ -1,40 +0,0 @@
-# This workflow will upload a Python Package using Twine when a release is created
-# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python#publishing-to-package-registries
-
-# This workflow uses actions that are not certified by GitHub.
-# They are provided by a third-party and are governed by
-# separate terms of service, privacy policy, and support
-# documentation.
-
-name: Upload Python Package
-
-on:
-  release:
-    types: [published]
-
-permissions:
-  contents: read
-
-jobs:
-  deploy:
-
-    runs-on: ubuntu-latest
-
-    steps:
-    - uses: actions/checkout@v4
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.x'
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install build
-    - name: Build package
-      run: python -m build src/praisonai
-    - name: Publish package
-      uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
-      with:
-        user: __token__
-        password: ${{ secrets.PYPI_API_TOKEN }}
-        packages_dir: src/praisonai/dist/

.github/workflows/release.yml

@@ -1,524 +0,0 @@
-name: Release Workflow
-
-on:
-  workflow_dispatch:
-    inputs:
-      tag:
-        description: 'Tag to create release with (e.g., v2.0.10)'
-        required: true
-      fork_owner:
-        description: 'GitHub username of the fork owner'
-        required: true
-        default: 'tosin2013'
-
-jobs:
-  test-ubuntu:
-    strategy:
-      matrix:
-        os: [ubuntu-22.04, ubuntu-24.04]
-        framework: ['crewai', 'autogen']
-      fail-fast: false
-
-    runs-on: ${{ matrix.os }}
-    timeout-minutes: 90
-
-    steps:
-    # First checkout the upstream repo at the specified tag
-    - name: Checkout upstream repo
-      uses: actions/checkout@v4
-      with:
-        repository: MervinPraison/PraisonAI
-        ref: ${{ github.event.inputs.tag }}
-        fetch-depth: 0
-
-    # Get the commit hash from the tag
-    - name: Get commit hash
-      id: get_commit
-      run: |
-        COMMIT_HASH=$(git rev-parse HEAD)
-        echo "commit_hash=$COMMIT_HASH" >> $GITHUB_OUTPUT
-        echo "Found commit: $COMMIT_HASH for tag ${{ github.event.inputs.tag }}"
-
-    # Now checkout the fork at main branch
-    - name: Checkout fork
-      uses: actions/checkout@v4
-      with:
-        repository: ${{ github.event.inputs.fork_owner }}/PraisonAI
-        ref: main
-        fetch-depth: 0
-        clean: true
-
-    # Sync with upstream commit
-    - name: Sync with upstream
-      run: |
-        git config --global user.name "MervinPraison"
-        git config --global user.email "[email protected]"
-        
-        # Add upstream remote
-        git remote add upstream https://github.com/MervinPraison/PraisonAI.git
-        
-        # Fetch from upstream
-        git fetch upstream --tags --force
-        
-        # Reset to upstream commit
-        git reset --hard ${{ steps.get_commit.outputs.commit_hash }}
-
-    - name: Setup Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.11'
-        cache: 'pip'
-
-    - name: Install Poetry
-      run: |
-        curl -sSL https://install.python-poetry.org | python3 -
-        echo "$HOME/.local/bin" >> $GITHUB_PATH
-        poetry config virtualenvs.in-project true
-        poetry config virtualenvs.create true
-        poetry --version
-        poetry config --list
-
-    - name: Install Dependencies
-      run: |
-        poetry lock #--no-update
-        poetry install --all-extras
-        poetry env info
-        # Verify venv exists
-        test -d .venv || { echo "Virtual environment not created!"; exit 1; }
-        test -f .venv/bin/activate || { echo "Activation script not found!"; exit 1; }
-
-    - name: Run setup script
-      timeout-minutes: 20
-      run: |
-        set -e  # Exit on any error
-        curl -OL https://raw.githubusercontent.com/tosin2013/PraisonAI/refs/heads/main/setup.sh
-        chmod +x setup.sh
-        ./setup.sh --all --cicd || { echo "Setup script failed"; exit 1; }
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Test Basic Functionality
-      run: |
-        set -e  # Exit on any error
-        
-        # Random sleep between 60-120 seconds to avoid API rate limits
-        SLEEP_TIME=$((RANDOM % 61 + 60))
-        echo "Sleeping for $SLEEP_TIME seconds to avoid API rate limits..."
-        sleep $SLEEP_TIME
-        
-        lsof -ti:8084 | xargs -r kill -9 || true
-        source .venv/bin/activate || { echo "Failed to activate virtual environment"; exit 1; }
-        mkdir -p test_output || { echo "Failed to create test_output directory"; exit 1; }
-        
-        echo "Testing basic CLI functionality..."
-        
-        # Test auto generation with explicit framework
-        praisonai --framework ${{ matrix.framework }}  --auto "create a short test script" 2>&1 | tee test_output/auto_test.log
-        
-        # Verify the output file exists and has content
-        if [[ ! -s test_output/auto_test.log ]]; then
-          echo "Error: No output generated from auto test"
-          exit 1
-        fi
-        
-        # Test auto generation without framework
-        echo "Basic functionality tests passed!"
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        LOGLEVEL: "debug"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Test Framework-specific Features
-      continue-on-error: false
-      run: |
-        source .venv/bin/activate
-        
-        # Random sleep between 60-120 seconds to avoid API rate limits
-        SLEEP_TIME=$((RANDOM % 61 + 60))
-        echo "Sleeping for $SLEEP_TIME seconds to avoid API rate limits..."
-        sleep $SLEEP_TIME
-        
-        lsof -ti:8084 | xargs -r kill -9 || true
-        praisonai --framework ${{ matrix.framework }} --auto "create a movie script about Robots in Mars" 2>&1 | tee test_output/framework_output.txt || echo "Framework-specific test failed" >> test_output/errors.log
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Test Core Functionality
-      continue-on-error: false
-      run: |
-        source .venv/bin/activate
-        
-        # Random sleep between 60-120 seconds to avoid API rate limits
-        SLEEP_TIME=$((RANDOM % 61 + 60))
-        echo "Sleeping for $SLEEP_TIME seconds to avoid API rate limits..."
-        sleep $SLEEP_TIME
-        
-        echo "Testing core functionality..."
-        
-        # Test package imports
-        python3 -c "from praisonai.cli import PraisonAI; from praisonai.auto import AutoGenerator; from praisonai.agents_generator import AgentsGenerator" || exit 1
-        
-        # Test configuration loading
-        python3 -c "from praisonai.inc.config import generate_config; print(generate_config())" || exit 1
-        
-        # Test tools loading
-        python3 -c "from praisonai.inbuilt_tools import *" || exit 1
-        
-        echo "Core functionality tests passed!"
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        LOGLEVEL: "debug"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Test Agent Generation
-      continue-on-error: false
-      run: |
-        source .venv/bin/activate
-        
-        # Random sleep between 60-120 seconds to avoid API rate limits
-        SLEEP_TIME=$((RANDOM % 61 + 60))
-        echo "Sleeping for $SLEEP_TIME seconds to avoid API rate limits..."
-        sleep $SLEEP_TIME
-        
-        echo "Testing agent generation..."
-        
-        # Create a test YAML file
-        cat > test_agents.yaml <<EOF
-        topic: "Test automation task"
-        framework: "${{ matrix.framework }} "
-        roles:
-          - name: "Tester"
-            goal: "Test the system"
-            backstory: "Expert system tester"
-            tasks:
-              - description: "Verify system functionality"
-                expected_output: "Test results"
-        EOF
-        
-        # Test YAML loading and agent generation
-        python3 -c '
-        from praisonai.agents_generator import AgentsGenerator
-        config = [{"model": "llama-3.3-70b-versatile", "base_url": "https://api.groq.com/openai/v1/"}]
-        generator = AgentsGenerator("test_agents.yaml", "${{ matrix.framework }} ", config)
-        print("Agent generation test passed!")
-        ' || exit 1
-        
-        echo "Agent generation tests passed!"
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        LOGLEVEL: "debug"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Test Custom Tools Integration
-      continue-on-error: false
-      run: |
-        source .venv/bin/activate
-        
-        # Random sleep between 60-120 seconds to avoid API rate limits
-        SLEEP_TIME=$((RANDOM % 61 + 60))
-        echo "Sleeping for $SLEEP_TIME seconds to avoid API rate limits..."
-        sleep $SLEEP_TIME
-        
-        echo "Testing custom tools integration..."
-        
-        # Create a test tool
-        cat > test_tool.py <<EOF
-        from duckduckgo_search import DDGS
-        from praisonai_tools import BaseTool
-
-        class InternetSearchTool(BaseTool):
-            name: str = "Internet Search Tool"
-            description: str = "Search Internet for relevant information"
-
-            def _run(self, query: str):
-                return {"status": "success", "query": query}
-                
-            def test(self):
-                """Test method to verify tool setup"""
-                test_query = "test query"
-                result = self._run(test_query)
-                assert result["status"] == "success"
-                assert result["query"] == test_query
-                return True
-        EOF
-        
-        # Test tool loading and initialization
-        python3 -c '
-        import importlib.util
-        import sys
-        
-        # Load the test tool
-        spec = importlib.util.spec_from_file_location("test_tool", "test_tool.py")
-        module = importlib.util.module_from_spec(spec)
-        sys.modules["test_tool"] = module
-        spec.loader.exec_module(module)
-        
-        # Initialize and test the tool
-        tool = module.InternetSearchTool()
-        assert tool.test(), "Tool test failed"
-        print("Custom tool test passed!")
-        ' || exit 1
-        
-        echo "Custom tools integration test passed!"
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        LOGLEVEL: "debug"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Test PraisonAI Agents Configuration
-      continue-on-error: false
-      run: |
-        source .venv/bin/activate
-        
-        # Random sleep between 60-120 seconds to avoid API rate limits
-        SLEEP_TIME=$((RANDOM % 61 + 60))
-        echo "Sleeping for $SLEEP_TIME seconds to avoid API rate limits..."
-        sleep $SLEEP_TIME
-        
-        echo "Testing agents configuration..."
-        mkdir -p test_output || { echo "Failed to create test_output directory"; exit 1; }
-        
-        # Create test script
-        cat > test_agents.py <<EOF
-        from langchain_openai import ChatOpenAI
-        from crewai import Agent, Task, Crew
-        import os
-        import logging
-        import time
-        import random
-
-        logging.basicConfig(level="DEBUG")
-        logger = logging.getLogger(__name__)
-
-        def random_sleep(min_seconds=15, max_seconds=30):
-            """Sleep for a random duration to prevent API rate limiting"""
-            duration = random.uniform(min_seconds, max_seconds)
-            logger.info(f"Rate limit protection: Sleeping for {duration:.2f} seconds...")
-            time.sleep(duration)
-
-        class RateLimitedChatOpenAI(ChatOpenAI):
-            """ChatOpenAI with built-in rate limiting"""
-            def __call__(self, *args, **kwargs):
-                random_sleep()
-                return super().__call__(*args, **kwargs)
-
-        def run_test():
-            logger.info("Initializing test components...")
-            
-            # Initialize the LLM with rate limiting
-            llm = RateLimitedChatOpenAI(
-                model=os.getenv('OPENAI_MODEL_NAME', 'llama-3.3-70b-versatile'),
-                base_url=os.getenv('OPENAI_API_BASE', 'https://api.groq.com/openai/v1/'),
-                api_key=os.getenv('OPENAI_API_KEY'),
-                temperature=0.7
-            )
-
-            random_sleep()
-            logger.info("Creating researcher agent...")
-            researcher = Agent(
-                role="Test Automation Expert",
-                goal="Verify system functionality and performance",
-                backstory="""You are an expert in test automation and system verification,
-                skilled in identifying potential issues and validating functionality.""",
-                verbose=True,
-                allow_delegation=False,
-                llm=llm
-            )
-
-            random_sleep()
-            logger.info("Creating validator agent...")
-            validator = Agent(
-                role="Quality Assurance Specialist",
-                goal="Validate test results and ensure system reliability",
-                backstory="""You are a QA specialist focused on ensuring
-                system reliability and proper functionality.""",
-                verbose=True,
-                allow_delegation=False,
-                llm=llm
-            )
-
-            random_sleep()
-            logger.info("Creating test tasks...")
-            test_task = Task(
-                description="Run a basic system verification test",
-                expected_output="A report on system functionality verification",
-                agent=researcher
-            )
-
-            random_sleep()
-            validation_task = Task(
-                description="Validate the test results and compile findings",
-                expected_output="A validation report of test findings",
-                agent=validator
-            )
-
-            random_sleep()
-            logger.info("Initializing crew...")
-            crew = Crew(
-                agents=[researcher, validator],
-                tasks=[test_task, validation_task],
-                verbose=2
-            )
-
-            logger.info("Starting crew execution...")
-            result = crew.kickoff()
-            logger.info("Test execution completed.")
-            logger.info(f"Result: {result}")
-            return result
-
-        if __name__ == "__main__":
-            try:
-                run_test()
-            except Exception as e:
-                logger.error(f"Test failed with error: {str(e)}", exc_info=True)
-                raise
-        EOF
-        
-        # Run the test script with increased timeout
-        echo "Testing with Python API..."
-        timeout 1800 python3 test_agents.py 2>&1 | tee test_output/agents_test.log
-        
-        # Verify the output
-        if [[ ! -s test_output/agents_test.log ]]; then
-          echo "Error: No output generated from agents test"
-          exit 1
-        fi
-        
-        echo "Agents configuration tests passed!"
-      env:
-        OPENAI_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
-        OPENAI_MODEL_NAME: "llama-3.3-70b-versatile"
-        OPENAI_API_BASE: "https://api.groq.com/openai/v1/"
-        OPENAI_API_BASE_URL: "https://api.groq.com/openai/v1/"
-        LOGLEVEL: "debug"
-        PRAISONAI_NON_INTERACTIVE: "true"
-
-    - name: Upload test artifacts
-      if: always()
-      uses: actions/upload-artifact@v4
-      with:
-        name: praisonai-output-${{ matrix.os }}-${{ matrix.framework }}
-        path: test_output/
-        retention-days: 14
-
-  create-release:
-    needs: [test-ubuntu]
-    runs-on: ubuntu-latest
-    if: success()
-    steps:
-    # First checkout the fork's main branch
-    - name: Checkout fork repo
-      uses: actions/checkout@v4
-      with:
-        fetch-depth: 0
-        token: ${{ secrets.PAT_TOKEN }}
-        repository: ${{ github.event.inputs.fork_owner }}/PraisonAI
-        ref: main
-
-    # Add upstream and get commit from tag
-    - name: Get upstream tag commit
-      id: get_upstream_commit
-      run: |
-        # Add upstream remote
-        git remote add upstream https://github.com/MervinPraison/PraisonAI.git
-        
-        # Delete local tag if it exists
-        git tag -d ${{ github.event.inputs.tag }} || true
-        
-        # Fetch from upstream including tags with force
-        git fetch upstream --tags --force
-        
-        # Verify tag exists in upstream
-        if ! git ls-remote --tags upstream | grep -q "refs/tags/${{ github.event.inputs.tag }}$"; then
-          echo "::error::Tag ${{ github.event.inputs.tag }} not found in upstream repository"
-          exit 1
-        fi
-        
-        # Get the commit hash from the upstream tag
-        UPSTREAM_COMMIT=$(git rev-list -n 1 refs/tags/${{ github.event.inputs.tag }})
-        if [ -z "$UPSTREAM_COMMIT" ]; then
-          echo "::error::Could not find commit for tag ${{ github.event.inputs.tag }}"
-          exit 1
-        fi
-        echo "upstream_commit=$UPSTREAM_COMMIT" >> $GITHUB_OUTPUT
-        echo "Found commit: $UPSTREAM_COMMIT for tag ${{ github.event.inputs.tag }}"
-
-    # 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]"
-        
-        # Remove tag if it exists locally
-        git tag -d ${{ github.event.inputs.tag }} || true
-        
-        # Remove tag if it exists remotely
-        git push origin :refs/tags/${{ github.event.inputs.tag }} || true
-        
-        # Fetch the specific commit from upstream
-        git fetch upstream ${{ steps.get_upstream_commit.outputs.upstream_commit }} --force
-        
-        # Reset to upstream commit
-        git reset --hard ${{ steps.get_upstream_commit.outputs.upstream_commit }}
-        
-        # Create and push tag
-        git tag -a ${{ github.event.inputs.tag }} -m "Release ${{ github.event.inputs.tag }} (synced from upstream MervinPraison/PraisonAI@${{ github.event.inputs.tag }})"
-        git push origin ${{ github.event.inputs.tag }}
-      env:
-        GIT_ASKPASS: /bin/echo
-        PAT_TOKEN: ${{ secrets.PAT_TOKEN }}
-
-    # Create the release
-    - name: Create Release
-      uses: actions/create-release@v1
-      env:
-        GITHUB_TOKEN: ${{ secrets.PAT_TOKEN }}
-      with:
-        tag_name: ${{ github.event.inputs.tag }}
-        release_name: Release ${{ github.event.inputs.tag }}
-        draft: false
-        prerelease: false
-        body: |
-          Release ${{ github.event.inputs.tag }} (synced from upstream)
-          
-          This release is synchronized with MervinPraison/PraisonAI@${{ github.event.inputs.tag }}
-          Commit: ${{ steps.get_upstream_commit.outputs.upstream_commit }}
-          
-          For installation:
-          ```bash
-          pip install praisonai
-          ```
-          
-          Changes from upstream v2.0.10:
-          - Updated agent configuration tests
-          - Added rate limiting protection
-          - Improved test reliability
-          
-          Forked from: MervinPraison/PraisonAI

.github/workflows/test-comprehensive.yml

@@ -1,196 +0,0 @@
-name: Comprehensive Test Suite
-
-on:
-  workflow_dispatch:  # Allow manual triggering
-    inputs:
-      test_type:
-        description: 'Type of tests to run'
-        required: true
-        default: 'all'
-        type: choice
-        options:
-        - all
-        - unit
-        - integration
-        - fast
-        - performance
-        - frameworks
-        - autogen
-        - crewai
-  release:
-    types: [published, prereleased]
-  schedule:
-    # Run comprehensive tests weekly on Sundays at 3 AM UTC
-    - cron: '0 3 * * 0'
-
-jobs:
-  comprehensive-test:
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    env:
-      OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
-      OPENAI_MODEL_NAME: gpt-4o-mini
-    strategy:
-      matrix:
-        python-version: ["3.11"]
-    
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v4
-
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ matrix.python-version }}
-
-    - name: Install UV
-      run: |
-        curl -LsSf https://astral.sh/uv/install.sh | sh
-        echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-
-    - name: Install dependencies
-      run: |
-        cd src/praisonai
-        uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
-        uv pip install --system duckduckgo_search
-        uv pip install --system pytest pytest-asyncio pytest-cov pytest-benchmark pytest-timeout
-        # Install knowledge dependencies from praisonai-agents
-        uv pip install --system "praisonaiagents[knowledge]"
-
-    - name: Verify environment variables
-      run: |
-        if [ -n "$OPENAI_API_KEY" ]; then
-          echo "✅ OPENAI_API_KEY is set (length: ${#OPENAI_API_KEY})"
-        else
-          echo "⚠️ OPENAI_API_KEY is NOT set"
-        fi
-
-    - name: Run Comprehensive Test Suite
-      run: |
-        # Determine test type from input or default to 'all'
-        TEST_TYPE="${{ github.event.inputs.test_type || 'all' }}"
-        
-        echo "🧪 Running comprehensive test suite (type: $TEST_TYPE)"
-        
-        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"
-            ;;
-          "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"
-            ;;
-          "fast")
-            cd src/praisonai && python tests/test_runner.py --pattern fast || echo "Some fast tests failed"
-            ;;
-          "performance")
-            cd src/praisonai && python tests/test_runner.py --pattern "performance" || echo "Some performance tests failed"
-            ;;
-          "frameworks")
-            cd src/praisonai && python tests/test_runner.py --pattern frameworks || echo "Some framework tests failed"
-            ;;
-          "autogen")
-            cd src/praisonai && python tests/test_runner.py --pattern autogen || echo "Some autogen tests failed"
-            ;;
-          "crewai")
-            cd src/praisonai && python tests/test_runner.py --pattern crewai || echo "Some crewai tests failed"
-            ;;
-          "all"|*)
-            cd src/praisonai && python tests/test_runner.py --pattern all || echo "Some tests failed"
-            ;;
-        esac
-
-    - name: Generate Comprehensive Test Report
-      if: always()
-      run: |
-        echo "# 📋 Comprehensive Test Report" > comprehensive_report.md
-        echo "" >> comprehensive_report.md
-        echo "**Python Version:** ${{ matrix.python-version }}" >> comprehensive_report.md
-        echo "**Test Type:** ${{ github.event.inputs.test_type || 'all' }}" >> comprehensive_report.md
-        echo "**Trigger:** ${{ github.event_name }}" >> comprehensive_report.md
-        echo "**Date:** $(date -u)" >> comprehensive_report.md
-        echo "" >> comprehensive_report.md
-        
-        echo "## 🧪 Test Categories Covered:" >> comprehensive_report.md
-        echo "" >> comprehensive_report.md
-        echo "### Unit Tests:" >> comprehensive_report.md
-        echo "- ✅ Core agent functionality" >> comprehensive_report.md
-        echo "- ✅ Async operations" >> comprehensive_report.md
-        echo "- ✅ Tool integrations" >> comprehensive_report.md
-        echo "- ✅ UI components" >> comprehensive_report.md
-        echo "" >> comprehensive_report.md
-        
-        echo "### Integration Tests:" >> comprehensive_report.md
-        echo "- ✅ MCP (Model Context Protocol)" >> comprehensive_report.md
-        echo "- ✅ RAG (Retrieval Augmented Generation)" >> comprehensive_report.md
-        echo "- ✅ Base URL API mapping" >> comprehensive_report.md
-        echo "- ✅ Multi-agent workflows" >> comprehensive_report.md
-        echo "- ✅ AutoGen framework integration" >> comprehensive_report.md
-        echo "- ✅ CrewAI framework integration" >> comprehensive_report.md
-        echo "- 💬 LLM integrations (OpenAI, Anthropic, etc.)" >> comprehensive_report.md
-        echo "- 🖥️ UI frameworks (Gradio, Streamlit)" >> comprehensive_report.md
-        echo "- 📊 Memory and persistence" >> comprehensive_report.md
-        echo "- 🌐 Multi-modal capabilities" >> comprehensive_report.md
-
-        echo "- ✅ AutoGen framework integration" >> comprehensive_report.md
-        echo "- ✅ CrewAI framework integration" >> comprehensive_report.md
-        echo "" >> comprehensive_report.md
-        
-        echo "### Key Features Tested:" >> comprehensive_report.md
-        echo "- 🤖 Agent creation and configuration" >> comprehensive_report.md
-        echo "- 📋 Task management and execution" >> comprehensive_report.md
-        echo "- 🔄 Sync/async workflows" >> comprehensive_report.md
-        echo "- 🛠️ Custom tools and error handling" >> comprehensive_report.md
-        echo "- 🧠 Knowledge bases and RAG" >> comprehensive_report.md
-        echo "- 🔌 MCP server connections" >> comprehensive_report.md
-        echo "- 💬 LLM integrations (OpenAI, Anthropic, etc.)" >> comprehensive_report.md
-
-    - name: Upload coverage reports to Codecov
-      uses: codecov/codecov-action@v5
-      with:
-        token: ${{ secrets.CODECOV_TOKEN }}
-        file: src/praisonai/coverage.xml
-        flags: comprehensive-tests
-        name: comprehensive-tests-coverage
-        fail_ci_if_error: false
-        verbose: true
-
-    - name: Upload Comprehensive Test Results
-      uses: actions/upload-artifact@v4
-      if: always()
-      with:
-        name: comprehensive-test-results-python-${{ matrix.python-version }}
-        path: |
-          comprehensive_report.md
-          src/praisonai/htmlcov/
-          src/praisonai/coverage.xml
-          src/praisonai/.coverage
-        retention-days: 30
-
-  test-matrix-summary:
-    runs-on: ubuntu-latest
-    needs: comprehensive-test
-    if: always()
-    
-    steps:
-    - name: Generate Matrix Summary
-      run: |
-        echo "# 🎯 Test Matrix Summary" > matrix_summary.md
-        echo "" >> matrix_summary.md
-        echo "## Python Version Results:" >> matrix_summary.md
-        echo "- Python 3.10: ${{ needs.comprehensive-test.result }}" >> matrix_summary.md  
-        echo "- Python 3.11: ${{ needs.comprehensive-test.result }}" >> matrix_summary.md
-        echo "" >> matrix_summary.md
-        echo "## Overall Status:" >> matrix_summary.md
-        if [ "${{ needs.comprehensive-test.result }}" == "success" ]; then
-          echo "✅ **All tests passed across all Python versions!**" >> matrix_summary.md
-        else
-          echo "❌ **Some tests failed. Check individual job logs for details.**" >> matrix_summary.md
-        fi
-        
-    - name: Upload Matrix Summary
-      uses: actions/upload-artifact@v4
-      with:
-        name: test-matrix-summary
-        path: matrix_summary.md
-        retention-days: 30 

.github/workflows/test-core.yml

@@ -1,73 +0,0 @@
-name: Core Tests
-
-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
-
-    steps:
-    - uses: actions/checkout@v4
-
-    - name: Set up Python 3.11
-      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" >> $GITHUB_PATH
-
-    - name: Install dependencies
-      run: |
-        cd src/praisonai
-        uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
-        uv pip install --system duckduckgo_search
-        uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
-        uv pip install --system "praisonaiagents[knowledge]"
-
-    - name: Set environment variables
-      run: |
-        echo "OPENAI_API_KEY=${{ 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' }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
-
-    - 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"
-      continue-on-error: true
-
-    - 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"
-
-    - name: Upload coverage to Codecov
-      if: always()
-      uses: codecov/codecov-action@v5
-      with:
-        token: ${{ secrets.CODECOV_TOKEN || '' }}
-        files: src/praisonai/coverage.xml
-        flags: core-tests
-        fail_ci_if_error: false

.github/workflows/test-extended.yml

@@ -1,170 +0,0 @@
-name: Extended Tests
-
-on:
-  schedule:
-    - cron: '0 2 * * *'
-  workflow_dispatch:
-
-jobs:
-  test-examples:
-    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" >> $GITHUB_PATH
-
-
-    - name: Install dependencies
-      run: |
-        cd src/praisonai
-        uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
-        uv pip install --system duckduckgo_search
-        # Install knowledge dependencies from praisonai-agents
-        uv pip install --system "praisonaiagents[knowledge]"
-
-    - name: Set environment variables
-      run: |
-        echo "OPENAI_API_KEY=${{ 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' }}" >> $GITHUB_ENV
-        echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
-        echo "PRAISONAI_TELEMETRY_DISABLED=true" >> $GITHUB_ENV
-        echo "PRAISONAI_DISABLE_TELEMETRY=true" >> $GITHUB_ENV
-        echo "DO_NOT_TRACK=true" >> $GITHUB_ENV
-
-    - name: Test Key Example Scripts
-      run: |
-        echo "🧪 Testing key example scripts from praisonai-agents..."
-        
-        # Create a timeout function for consistent handling
-        timeout_run() {
-          timeout 30s "$@" || echo "⏱️  $1 test completed/timed out"
-        }
-        
-        # Test basic agent functionality
-        timeout_run python ${{ github.workspace }}/src/praisonai-agents/basic-agents.py
-        
-        # Test async functionality  
-        timeout_run python ${{ github.workspace }}/src/praisonai-agents/async_example.py
-        
-        # Test knowledge/RAG functionality
-        timeout_run python ${{ github.workspace }}/src/praisonai-agents/knowledge-agents.py
-        
-        # Test MCP functionality
-        timeout_run python ${{ github.workspace }}/src/praisonai-agents/mcp-basic.py
-        
-        # Test UI functionality
-        timeout_run python ${{ github.workspace }}/src/praisonai-agents/ui.py
-        
-        echo "✅ Example script testing completed"
-      continue-on-error: true
-
-  performance-test:
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v4
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: 3.11
-
-    - name: Install UV
-      run: |
-        curl -LsSf https://astral.sh/uv/install.sh | sh
-        echo "$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 pytest pytest-benchmark
-        # Install knowledge dependencies from praisonai-agents
-        uv pip install --system "praisonaiagents[knowledge]"
-
-    - name: Set environment variables
-      run: |
-        echo "PRAISONAI_TELEMETRY_DISABLED=true" >> $GITHUB_ENV
-        echo "PRAISONAI_DISABLE_TELEMETRY=true" >> $GITHUB_ENV
-        echo "DO_NOT_TRACK=true" >> $GITHUB_ENV
-
-    - name: Run Performance Benchmarks
-      run: |
-        echo "🏃 Running performance benchmarks..."
-        python -c "
-        import time
-        import sys
-        import statistics
-        sys.path.insert(0, 'src/praisonai')
-        
-        print('🏃 Testing agent creation performance...')
-        times = []
-        try:
-            from praisonaiagents import Agent
-            for i in range(5):
-                start_time = time.time()
-                agent = Agent(name=f'PerfAgent{i}')
-                times.append(time.time() - start_time)
-            
-            avg_time = statistics.mean(times)
-            print(f'✅ Average agent creation time: {avg_time:.3f}s')
-            print(f'📊 Min: {min(times):.3f}s, Max: {max(times):.3f}s')
-        except Exception as e:
-            print(f'❌ Agent creation benchmark failed: {e}')
-        
-        print('🏃 Testing import performance...')
-        start_time = time.time()
-        try:
-            import praisonaiagents
-            import_time = time.time() - start_time
-            print(f'✅ Import completed in {import_time:.3f}s')
-        except Exception as e:
-            print(f'❌ Import benchmark failed: {e}')
-        
-        print('🏃 Testing memory usage...')
-        try:
-            import psutil
-            import os
-            process = psutil.Process(os.getpid())
-            memory_mb = process.memory_info().rss / 1024 / 1024
-            print(f'📊 Memory usage: {memory_mb:.1f} MB')
-        except ImportError:
-            print('⚠️  psutil not available for memory testing')
-        except Exception as e:
-            print(f'❌ Memory benchmark failed: {e}')
-        "
-      continue-on-error: true
-
-    - name: Generate Performance Report
-      run: |
-        echo "## 📊 Performance Test Results" > performance_report.md
-        echo "" >> performance_report.md
-        echo "### Benchmarks Run:" >> performance_report.md
-        echo "- ⚡ Agent creation speed" >> performance_report.md
-        echo "- 📦 Import performance" >> performance_report.md
-        echo "- 💾 Memory usage" >> performance_report.md
-        echo "- 🧪 Example script execution" >> performance_report.md
-        echo "" >> performance_report.md
-        echo "_Performance results are logged in the CI output above._" >> performance_report.md
-
-    - name: Upload Performance Report
-      uses: actions/upload-artifact@v4
-      with:
-        name: performance-report
-        path: performance_report.md
-        retention-days: 5

.github/workflows/test-frameworks.yml

@@ -1,154 +0,0 @@
-name: Framework Integration Tests
-
-on:
-  workflow_dispatch:  # Allow manual triggering
-    inputs:
-      framework:
-        description: 'Framework to test'
-        required: true
-        default: 'all'
-        type: choice
-        options:
-        - all
-        - autogen
-        - crewai
-  schedule:
-    # Run framework tests daily at 6 AM UTC
-    - cron: '0 6 * * *'
-  push:
-    paths:
-      - 'tests/integration/autogen/**'
-      - 'tests/integration/crewai/**'
-      - '.github/workflows/test-frameworks.yml'
-
-jobs:
-  framework-tests:
-    runs-on: ubuntu-latest
-    timeout-minutes: 15
-    strategy:
-      matrix:
-        python-version: [3.11]
-        framework: [autogen, crewai]
-    
-    steps:
-    - name: Checkout code
-      uses: actions/checkout@v4
-
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ matrix.python-version }}
-
-    - name: Install UV
-      run: |
-        curl -LsSf https://astral.sh/uv/install.sh | sh
-        echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-
-    - name: Install dependencies
-      run: |
-        cd src/praisonai
-        uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
-        uv pip install --system duckduckgo_search
-        uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
-
-    - name: Set environment variables
-      run: |
-        echo "OPENAI_API_KEY=${{ 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
-
-    - name: Test ${{ matrix.framework }} Framework
-      run: |
-        echo "🧪 Testing ${{ matrix.framework }} framework integration with Python ${{ matrix.python-version }}"
-        cd src/praisonai && python tests/test_runner.py --pattern ${{ matrix.framework }} --verbose --coverage
-      continue-on-error: false
-
-    - name: Generate Framework Test Report
-      if: always()
-      run: |
-        echo "# 🤖 ${{ matrix.framework }} Framework Test Report" > ${{ matrix.framework }}_report.md
-        echo "" >> ${{ matrix.framework }}_report.md
-        echo "**Framework:** ${{ matrix.framework }}" >> ${{ matrix.framework }}_report.md
-        echo "**Python Version:** ${{ matrix.python-version }}" >> ${{ matrix.framework }}_report.md
-        echo "**Date:** $(date -u)" >> ${{ matrix.framework }}_report.md
-        echo "**Trigger:** ${{ github.event_name }}" >> ${{ matrix.framework }}_report.md
-        echo "" >> ${{ matrix.framework }}_report.md
-        
-        if [ "${{ matrix.framework }}" == "autogen" ]; then
-          echo "## AutoGen Integration Tests" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ AutoGen import verification" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Basic agent creation through PraisonAI" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Conversation flow testing" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Configuration validation" >> ${{ matrix.framework }}_report.md
-        elif [ "${{ matrix.framework }}" == "crewai" ]; then
-          echo "## CrewAI Integration Tests" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ CrewAI import verification" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Basic crew creation through PraisonAI" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Multi-agent workflow testing" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Agent collaboration verification" >> ${{ matrix.framework }}_report.md
-          echo "- ✅ Configuration validation" >> ${{ matrix.framework }}_report.md
-        fi
-        
-        echo "" >> ${{ matrix.framework }}_report.md
-        echo "## Test Commands" >> ${{ matrix.framework }}_report.md
-        echo '```bash' >> ${{ matrix.framework }}_report.md
-        echo "# Run ${{ matrix.framework }} tests locally:" >> ${{ matrix.framework }}_report.md
-        echo "python tests/test_runner.py --pattern ${{ matrix.framework }} --verbose" >> ${{ matrix.framework }}_report.md
-        echo '```' >> ${{ matrix.framework }}_report.md
-
-    - name: Upload Framework Test Results
-      uses: actions/upload-artifact@v4
-      if: always()
-      with:
-        name: ${{ matrix.framework }}-test-results-python-${{ matrix.python-version }}
-        path: |
-          ${{ matrix.framework }}_report.md
-          htmlcov/
-          coverage.xml
-          .coverage
-        retention-days: 14
-
-  framework-summary:
-    runs-on: ubuntu-latest
-    needs: framework-tests
-    if: always()
-    
-    steps:
-    - name: Generate Framework Summary
-      run: |
-        echo "# 🚀 Framework Integration Test Summary" > framework_summary.md
-        echo "" >> framework_summary.md
-        echo "## Test Results by Framework and Python Version:" >> framework_summary.md
-        echo "" >> framework_summary.md
-        echo "### AutoGen Framework:" >> framework_summary.md
-        echo "- Python 3.11: ${{ needs.framework-tests.result }}" >> framework_summary.md
-        echo "" >> framework_summary.md
-        echo "### CrewAI Framework:" >> framework_summary.md
-        echo "- Python 3.11: ${{ needs.framework-tests.result }}" >> framework_summary.md
-        echo "" >> framework_summary.md
-        echo "## Overall Status:" >> framework_summary.md
-        if [ "${{ needs.framework-tests.result }}" == "success" ]; then
-          echo "✅ **All framework integration tests passed!**" >> framework_summary.md
-        else
-          echo "❌ **Some framework tests failed. Check individual job logs for details.**" >> framework_summary.md
-        fi
-        
-        echo "" >> framework_summary.md
-        echo "## Frameworks Tested:" >> framework_summary.md
-        echo "- **AutoGen**: Microsoft's conversational AI framework" >> framework_summary.md
-        echo "- **CrewAI**: Multi-agent collaboration framework" >> framework_summary.md
-        echo "" >> framework_summary.md
-        echo "## Test Coverage:" >> framework_summary.md
-        echo "- Import verification" >> framework_summary.md
-        echo "- Agent/crew creation" >> framework_summary.md
-        echo "- Workflow execution" >> framework_summary.md
-        echo "- Configuration validation" >> framework_summary.md
-        echo "- Integration with PraisonAI" >> framework_summary.md
-        
-    - name: Upload Framework Summary
-      uses: actions/upload-artifact@v4
-      with:
-        name: framework-test-summary
-        path: framework_summary.md
-        retention-days: 30 

.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-real.yml

@@ -1,168 +0,0 @@
-name: Real End-to-End Tests
-
-# ⚠️ WARNING: This workflow makes real API calls and incurs costs!
-# Only runs when manually triggered to prevent accidental charges
-
-on:
-  workflow_dispatch:  # Manual trigger only
-    inputs:
-      framework:
-        description: 'Framework to test (⚠️ Will incur API costs!)'
-        required: true
-        default: 'none'
-        type: choice
-        options:
-        - none
-        - autogen
-        - crewai
-        - all
-      confirm_costs:
-        description: 'I understand this will make real API calls and may incur costs'
-        required: true
-        type: boolean
-        default: false
-
-jobs:
-  real-tests:
-    runs-on: ubuntu-latest
-    if: ${{ github.event.inputs.confirm_costs == 'true' && github.event.inputs.framework != 'none' }}
-    timeout-minutes: 15
-    
-    strategy:
-      matrix:
-        python-version: [3.11]  # Single version to minimize costs
-    
-    steps:
-    - name: 🚨 Cost Warning
-      run: |
-        echo "⚠️  WARNING: This workflow will make real API calls!"
-        echo "💰 This may incur charges on your API accounts"
-        echo "🎯 Framework: ${{ github.event.inputs.framework }}"
-        echo "✅ Cost confirmation: ${{ github.event.inputs.confirm_costs }}"
-        
-    - name: Checkout code
-      uses: actions/checkout@v4
-
-    - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ matrix.python-version }}
-
-    - name: Install UV
-      run: |
-        curl -LsSf https://astral.sh/uv/install.sh | sh
-        echo "$HOME/.local/bin" >> $GITHUB_PATH
-
-
-    - name: Install dependencies
-      run: |
-        cd src/praisonai
-        uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
-        uv pip install --system pytest pytest-asyncio pytest-cov
-        # Install knowledge dependencies from praisonai-agents
-        uv pip install --system "praisonaiagents[knowledge]"
-
-    - name: Set environment variables
-      run: |
-        echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> $GITHUB_ENV
-        echo "ANTHROPIC_API_KEY=${{ secrets.ANTHROPIC_API_KEY }}" >> $GITHUB_ENV
-        echo "GOOGLE_API_KEY=${{ secrets.GOOGLE_API_KEY }}" >> $GITHUB_ENV
-
-    - name: Verify API Keys
-      run: |
-        if [ -z "${{ secrets.OPENAI_API_KEY }}" ]; then
-          echo "❌ OPENAI_API_KEY not set in secrets"
-          echo "🔧 Add your API key to repository secrets"
-          exit 1
-        fi
-        echo "✅ API keys configured"
-
-    - name: Run Real AutoGen Tests
-      if: ${{ github.event.inputs.framework == 'autogen' || github.event.inputs.framework == 'all' }}
-      run: |
-        echo "🤖 Running REAL AutoGen tests (⚠️  API costs may apply)"
-        cd src/praisonai && python -m pytest tests/e2e/autogen/ -v -m real --tb=short
-      continue-on-error: false
-
-    - name: Run Real CrewAI Tests
-      if: ${{ github.event.inputs.framework == 'crewai' || github.event.inputs.framework == 'all' }}
-      run: |
-        echo "⛵ Running REAL CrewAI tests (⚠️  API costs may apply)"
-        cd src/praisonai && python -m pytest tests/e2e/crewai/ -v -m real --tb=short
-      continue-on-error: false
-
-    - name: Generate Real Test Report
-      if: always()
-      run: |
-        echo "# 🔥 Real End-to-End Test Report" > real_test_report.md
-        echo "" >> real_test_report.md
-        echo "⚠️  **WARNING: This report represents tests that made real API calls**" >> real_test_report.md
-        echo "" >> real_test_report.md
-        echo "**Framework Tested:** ${{ github.event.inputs.framework }}" >> real_test_report.md
-        echo "**Python Version:** ${{ matrix.python-version }}" >> real_test_report.md
-        echo "**Date:** $(date -u)" >> real_test_report.md
-        echo "**Triggered by:** ${{ github.actor }}" >> real_test_report.md
-        echo "" >> real_test_report.md
-        
-        echo "## 🧪 Test Results" >> real_test_report.md
-        echo "" >> real_test_report.md
-        
-        if [ "${{ github.event.inputs.framework }}" == "autogen" ] || [ "${{ github.event.inputs.framework }}" == "all" ]; then
-          echo "### AutoGen Real Tests:" >> real_test_report.md
-          echo "- Environment verification" >> real_test_report.md
-          echo "- Agent creation with real API calls" >> real_test_report.md
-          echo "- Configuration validation" >> real_test_report.md
-          echo "" >> real_test_report.md
-        fi
-        
-        if [ "${{ github.event.inputs.framework }}" == "crewai" ] || [ "${{ github.event.inputs.framework }}" == "all" ]; then
-          echo "### CrewAI Real Tests:" >> real_test_report.md
-          echo "- Environment verification" >> real_test_report.md
-          echo "- Crew creation with real API calls" >> real_test_report.md
-          echo "- Multi-agent setup validation" >> real_test_report.md
-          echo "" >> real_test_report.md
-        fi
-        
-        echo "## 💰 Cost Considerations" >> real_test_report.md
-        echo "- These tests made actual API calls to LLM providers" >> real_test_report.md
-        echo "- Costs depend on your API pricing tier" >> real_test_report.md
-        echo "- Tests are designed to be minimal to reduce costs" >> real_test_report.md
-        echo "- Check your API provider dashboard for actual usage" >> real_test_report.md
-        
-        echo "## 📋 Next Steps" >> real_test_report.md
-        echo "- Review test results for any failures" >> real_test_report.md
-        echo "- Check API usage in your provider dashboard" >> real_test_report.md
-        echo "- Use mock tests (tests/integration/) for routine testing" >> real_test_report.md
-
-    - name: Upload Real Test Results
-      uses: actions/upload-artifact@v4
-      if: always()
-      with:
-        name: real-test-results-${{ github.event.inputs.framework }}-python-${{ matrix.python-version }}
-        path: |
-          real_test_report.md
-        retention-days: 30
-
-  # Safety job that runs when costs not confirmed
-  safety-check:
-    runs-on: ubuntu-latest
-    if: ${{ github.event.inputs.confirm_costs != 'true' || github.event.inputs.framework == 'none' }}
-    
-    steps:
-    - name: 🛡️ Safety Check Failed
-      run: |
-        echo "🚨 Real tests not executed due to safety checks:"
-        echo ""
-        echo "✅ Costs confirmed: ${{ github.event.inputs.confirm_costs }}"
-        echo "✅ Framework selected: ${{ github.event.inputs.framework }}"
-        echo ""
-        echo "To run real tests:"
-        echo "1. Select a framework (autogen, crewai, or all)"
-        echo "2. Check 'I understand this will make real API calls and may incur costs'"
-        echo "3. Ensure API keys are set in repository secrets"
-        echo ""
-        echo "💡 For cost-free testing, use mock tests instead:"
-        echo "   - Run 'python -m pytest tests/integration/' locally"
-        echo "   - Or trigger other workflows that use mock tests"
-        
-        exit 1 

.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/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

@@ -1,100 +1,23 @@
-workspace.code-workspace
-.vscode
-crewai
-.cache
-__pycache__
-chroma.sqlite3
-test
-dist
-.env
-assets
-.idea
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+
+# testing
+/coverage
+
+# production
+/build
+
+# misc
 .DS_Store
-.pytest_cache
-praisonAI.egg-info
-flagged
-test.yaml
-db
-praisonai_prompt.txt
-watch.sh
-docs.sh
-other
-output
-!src/praisonai/praisonai/cli/output/
-!src/praisonai-agents/praisonaiagents/output/
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
 
-.files
-threads.db
-threads.db-journal
-
-.chainlit
-!praisonai/ui/config/.chainlit
-
-site
-# Ignore Sphinx build directory
-docs/_build/
-docs/source/
-docs/build/
-
-# Ignore Sphinx cache
-docs/_build/doctrees/
-docs/_build/doctrees/*
-docs/_build/doctrees/.doctrees
-
-# Ignore Sphinx logs and local build files
-docs/_build/.buildinfo
-docs/_build/.buildinfo/*
-docs/_build/.buildinfo/.buildinfo
-
-praisonai/doc
-
-# agentops
-trained_agents_data.pkl
-agentops.log
-
-# crewAI
-crewAI
-!tests/integration/crewai
-!tests/e2e/crewai
-!src/praisonai/tests/integration/crewai
-!src/praisonai/tests/e2e/crewai
-
-# virtualenv
-.venv
-
-# Credentials
-credentials.json
-
-# node_modules
-node_modules
-
-outputs
-agents/praisonaiagents/build
-agents/praisonaiagents/dist
-agents/praisonaiagents/praisonaiagents.egg-info
-.codegpt
-.praison
-# Local Netlify folder
-.netlify
-.qodo
-CopilotKit*
-.gemini
-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/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*

LICENSE

@@ -1,20 +0,0 @@
-MIT License
-
-Permission is hereby granted, free of charge, to any person obtaining
-a copy of this software and associated documentation files (the
-"Software"), to deal in the Software without restriction, including
-without limitation the rights to use, copy, modify, merge, publish,
-distribute, sublicense, and/or sell copies of the Software, and to
-permit persons to whom the Software is furnished to do so, subject to
-the following conditions:
-
-The above copyright notice and this permission notice shall be
-included in all copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
-LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
-OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
-WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

README.md

@@ -1,913 +1,70 @@
-<p align="center">
-  <picture>
-    <source media="(prefers-color-scheme: dark)" srcset=".github/images/logo_dark.png" />
-    <source media="(prefers-color-scheme: light)" srcset=".github/images/logo_light.png" />
-    <img alt="PraisonAI Logo" src=".github/images/logo_light.png" width="250" />
-  </picture>
-</p>
+# Getting Started with Create React App
 
-<!-- mcp-name: io.github.MervinPraison/praisonai -->
+This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
 
-<p align="center">
-<a href="https://github.com/MervinPraison/PraisonAI"><img src="https://static.pepy.tech/badge/PraisonAI" alt="Total Downloads" /></a>
-<a href="https://github.com/MervinPraison/PraisonAI"><img src="https://img.shields.io/github/v/release/MervinPraison/PraisonAI" alt="Latest Stable Version" /></a>
-<a href="https://github.com/MervinPraison/PraisonAI"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License" /></a>
-<a href="https://registry.modelcontextprotocol.io/servers/io.github.MervinPraison/praisonai"><img src="https://img.shields.io/badge/MCP-Registry-blue" alt="MCP Registry" /></a>
-</p>
+## Available Scripts
 
-<div align="center">
+In the project directory, you can run:
 
-# PraisonAI 🦞
+### `npm start`
 
-<a href="https://trendshift.io/repositories/9130" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9130" alt="MervinPraison%2FPraisonAI | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+Runs the app in the development mode.\
+Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
 
-</div>
+The page will reload when you make changes.\
+You may also see any lint errors in the console.
 
-PraisonAI 🦞 — **Hire a 24/7 AI Workforce.** Stop writing boilerplate and start shipping autonomous agents that research, plan, and execute tasks across your apps. From one agent to an entire organization, deployed in 5 lines of code.
+### `npm test`
 
-<div align="center">
-  <br>
-  <a href="https://x.com/elonmusk/status/1893870468249141688" target="_blank">
-    <img src="https://img.shields.io/badge/Highlighted_by_Elon_Musk-000000?style=for-the-badge&logo=x&logoColor=white" alt="Highlighted by Elon Musk" />
-  </a>
-  <br>
-</div>
+Launches the test runner in the interactive watch mode.\
+See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
 
-<p align="center">
-  <img src=".github/images/dashboard.png" alt="PraisonAI Dashboard" width="800" />
-</p>
-
-<p align="center">
-  <img src=".github/images/agentflow.gif" alt="PraisonAI AgentFlow" width="800" />
-</p>
-
-```
- ██████╗ ██████╗  █████╗ ██╗███████╗ ██████╗ ███╗   ██╗     █████╗ ██╗
- ██╔══██╗██╔══██╗██╔══██╗██║██╔════╝██╔═══██╗████╗  ██║    ██╔══██╗██║
- ██████╔╝██████╔╝███████║██║███████╗██║   ██║██╔██╗ ██║    ███████║██║
- ██╔═══╝ ██╔══██╗██╔══██║██║╚════██║██║   ██║██║╚██╗██║    ██╔══██║██║
- ██║     ██║  ██║██║  ██║██║███████║╚██████╔╝██║ ╚████║    ██║  ██║██║
- ╚═╝     ╚═╝  ╚═╝╚═╝  ╚═╝╚═╝╚══════╝ ╚═════╝ ╚═╝  ╚═══╝    ╚═╝  ╚═╝╚═╝
-
- pip install praisonai
-```
-
-<p align="center">
-  <img src=".github/images/latest_ai_news_and_crawl_each_url_to_find_info.gif" alt="PraisonAI command execution" width="800" />
-</p>
-
-\* `export TAVILY_API_KEY=xxxxx`
-
-<div align="center">
-  <a href="https://docs.praison.ai">
-    <p align="center">
-      <img src="https://img.shields.io/badge/📚_Documentation-Visit_docs.praison.ai-blue?style=for-the-badge&logo=bookstack&logoColor=white" alt="Documentation" />
-    </p>
-  </a>
-</div>
-
----
-
-## 🎯 Use Cases
-
-AI agents solving real-world problems across industries:
-
-| Use Case | Description |
-|----------|-------------|
-| 🔍 **Research & Analysis** | Conduct deep research, gather information, and generate insights from multiple sources automatically |
-| 💻 **Code Generation** | Write, debug, and refactor code with AI agents that understand your codebase and requirements |
-| ✍️ **Content Creation** | Generate blog posts, documentation, marketing copy, and technical writing with multi-agent teams |
-| 📊 **Data Pipelines** | Extract, transform, and analyze data from APIs, databases, and web sources automatically |
-| 🤖 **Customer Support** | Deploy 24/7 support bots on Telegram, Discord, Slack with memory and knowledge-backed responses |
-| ⚙️ **Workflow Automation** | Automate multi-step business processes with agents that hand off tasks, verify results, and self-correct |
-
----
-
-## 🚀 Meet your first Agent (Under 1 Minute)
-
-1. Install the lightweight core SDK:
-```bash
-pip install praisonaiagents
-export OPENAI_API_KEY="your-api-key"
-```
-
-2. Run your first autonomous agent:
-```python
-from praisonaiagents import Agent
-
-# Give your agent a goal, and watch it work.
-agent = Agent(instructions="You are a senior data analyst.")
-agent.start("Analyze the top 3 tech trends of 2026 and format as a markdown table.")
-```
-
----
-
-## 🌌 The PraisonAI Ecosystem
-
-Start simple with the core SDK, or expand to full visual builders and dashboards when you're ready.
-
-*   **Core SDK (`praisonaiagents`)**: For pure Python development. `pip install praisonaiagents`
-*   💻 **PraisonAI CLI (`praisonai`)**: For terminal-based developers. `pip install praisonai`
-*   🦞 **Claw Dashboard**: Connect agents directly to Telegram, Slack, or Discord. `pip install "praisonai[claw]"`
-*   🔗 **Flow Visual Builder**: Drag-and-drop workflow creation. `pip install "praisonai[flow]"`
-*   🤖 **PraisonAI UI**: Clean chat interface. `pip install "praisonai[ui]"`
-
-### JavaScript SDK
-
-```bash
-npm install praisonai
-```
-
-## 🧠 Supported Providers & Features
-
-Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
-
-<p align="center">
-<img src="https://img.shields.io/badge/OpenAI-412991?style=flat&logo=openai&logoColor=white" alt="OpenAI" />
-<img src="https://img.shields.io/badge/Anthropic-191919?style=flat&logo=anthropic&logoColor=white" alt="Anthropic" />
-<img src="https://img.shields.io/badge/Google_Gemini-4285F4?style=flat&logo=google&logoColor=white" alt="Google Gemini" />
-<img src="https://img.shields.io/badge/DeepSeek-566AB2?style=flat" alt="DeepSeek" />
-<img src="https://img.shields.io/badge/Azure-0078D4?style=flat&logo=microsoftazure&logoColor=white" alt="Azure" />
-<img src="https://img.shields.io/badge/Ollama-000000?style=flat" alt="Ollama" />
-<img src="https://img.shields.io/badge/Groq-F05237?style=flat" alt="Groq" />
-<img src="https://img.shields.io/badge/Mistral-FF7000?style=flat" alt="Mistral" />
-<img src="https://img.shields.io/badge/Cerebras-F05A28?style=flat" alt="Cerebras" />
-<img src="https://img.shields.io/badge/Cohere-39594D?style=flat" alt="Cohere" />
-<img src="https://img.shields.io/badge/OpenRouter-6467F2?style=flat" alt="OpenRouter" />
-<img src="https://img.shields.io/badge/Perplexity-20808D?style=flat" alt="Perplexity" />
-<img src="https://img.shields.io/badge/Fireworks-FF6B35?style=flat" alt="Fireworks" />
-<img src="https://img.shields.io/badge/AWS_Bedrock-FF9900?style=flat&logo=amazonaws&logoColor=white" alt="AWS Bedrock" />
-<img src="https://img.shields.io/badge/xAI_Grok-000000?style=flat" alt="xAI Grok" />
-<img src="https://img.shields.io/badge/Vertex_AI-4285F4?style=flat&logo=googlecloud&logoColor=white" alt="Vertex AI" />
-<img src="https://img.shields.io/badge/HuggingFace-FFD21E?style=flat&logo=huggingface&logoColor=black" alt="HuggingFace" />
-<img src="https://img.shields.io/badge/Together_AI-000000?style=flat" alt="Together AI" />
-<img src="https://img.shields.io/badge/Databricks-FF3621?style=flat&logo=databricks&logoColor=white" alt="Databricks" />
-<img src="https://img.shields.io/badge/Replicate-262626?style=flat" alt="Replicate" />
-<img src="https://img.shields.io/badge/Cloudflare-F38020?style=flat&logo=cloudflare&logoColor=white" alt="Cloudflare" />
-</p>
-
-<details>
-<summary><strong>View all 24 providers with examples</strong></summary>
-
-| Provider | Example |
-|----------|:-------:|
-| OpenAI | [Example](examples/python/providers/openai/openai_gpt4_example.py) |
-| Anthropic | [Example](examples/python/providers/anthropic/anthropic_claude_example.py) |
-| Google Gemini | [Example](examples/python/providers/google/google_gemini_example.py) |
-| Ollama | [Example](examples/python/providers/ollama/ollama-agents.py) |
-| Groq | [Example](examples/python/providers/groq/kimi_with_groq_example.py) |
-| DeepSeek | [Example](examples/python/providers/deepseek/deepseek_example.py) |
-| xAI Grok | [Example](examples/python/providers/xai/xai_grok_example.py) |
-| Mistral | [Example](examples/python/providers/mistral/mistral_example.py) |
-| Cohere | [Example](examples/python/providers/cohere/cohere_example.py) |
-| Perplexity | [Example](examples/python/providers/perplexity/perplexity_example.py) |
-| Fireworks | [Example](examples/python/providers/fireworks/fireworks_example.py) |
-| Together AI | [Example](examples/python/providers/together/together_ai_example.py) |
-| OpenRouter | [Example](examples/python/providers/openrouter/openrouter_example.py) |
-| HuggingFace | [Example](examples/python/providers/huggingface/huggingface_example.py) |
-| Azure OpenAI | [Example](examples/python/providers/azure/azure_openai_example.py) |
-| AWS Bedrock | [Example](examples/python/providers/aws/aws_bedrock_example.py) |
-| Google Vertex | [Example](examples/python/providers/vertex/vertex_example.py) |
-| Databricks | [Example](examples/python/providers/databricks/databricks_example.py) |
-| Cloudflare | [Example](examples/python/providers/cloudflare/cloudflare_example.py) |
-| AI21 | [Example](examples/python/providers/ai21/ai21_example.py) |
-| Replicate | [Example](examples/python/providers/replicate/replicate_example.py) |
-| SageMaker | [Example](examples/python/providers/sagemaker/sagemaker_example.py) |
-| Moonshot | [Example](examples/python/providers/moonshot/moonshot_example.py) |
-| vLLM | [Example](examples/python/providers/vllm/vllm_example.py) |
-
-</details>
-
-<div align="center">
-  <a href="https://x.com/elonmusk/status/1893870468249141688" target="_blank">
-    <img src=".github/images/elon_musk_praisonai.png" alt="Highlighted by Elon Musk" width="600" />
-  </a>
-  <p><em>"Grok 3 customer support" — <a href="https://x.com/elonmusk/status/1893870468249141688">Elon Musk quoting PraisonAI's tutorial</a></em></p>
-</div>
-<br>
-
----
-
-## 🌟 Why PraisonAI?
-
-| | Feature | How |
-|--|---------|-----|
-| 🔌 | **MCP Protocol** — stdio, HTTP, WebSocket, SSE | `tools=MCP("npx ...")` |
-| 🧠 | **Planning Mode** — plan → execute → reason | `planning=True` |
-| 🔍 | **Deep Research** — multi-step autonomous research | [Docs](https://docs.praison.ai/docs/agents/deep-research) |
-| 🤖 | **External Agents** — orchestrate Claude Code, Gemini CLI, Codex | [Docs](https://docs.praison.ai/docs/code/external-agents) |
-| 🔄 | **Agent Handoffs** — seamless conversation passing | `handoff=True` |
-| 🛡️ | **Guardrails** — input/output validation | [Docs](https://docs.praison.ai/docs/concepts/guardrails) |
-|  | **Web Search + Fetch** — native browsing | `web_search=True` |
-| 🪞 | **Self Reflection** — agent reviews its own output | [Docs](https://docs.praison.ai/docs/concepts/reflection) |
-| 🔀 | **Workflow Patterns** — route, parallel, loop, repeat | [Docs](https://docs.praison.ai/docs/concepts/agentflow) |
-| 🧠 | **Memory (zero deps)** — works out of the box | `memory=True` |
-
-<details>
-<summary><strong>View all 25 features</strong></summary>
-
-| | Feature | How |
-|--|---------|-----|
-| 💡 | **Prompt Caching** — reduce latency + cost | `prompt_caching=True` |
-| 💾 | **Sessions + Auto-Save** — persistent state across restarts | `auto_save="my-project"` |
-| 💭 | **Thinking Budgets** — control reasoning depth | `thinking_budget=1024` |
-| 📚 | **RAG + Quality-Based RAG** — auto quality scoring retrieval | [Docs](https://docs.praison.ai/docs/concepts/rag) |
-| 📊 | **Model Router** — auto-routes to cheapest capable model | [Docs](https://docs.praison.ai/docs/features/model-router) |
-| 🧊 | **Shadow Git Checkpoints** — auto-rollback on failure | [Docs](https://docs.praison.ai/docs/features/checkpoints) |
-| 📡 | **A2A Protocol** — agent-to-agent interop | [Docs](https://docs.praison.ai/docs/features/a2a) |
-| 📏 | **Context Compaction** — never hit token limits | [Docs](https://docs.praison.ai/docs/features/context-compaction) |
-| 📡 | **Telemetry** — OpenTelemetry traces, spans, metrics | [Docs](https://docs.praison.ai/docs/features/telemetry) |
-| 📜 | **Policy Engine** — declarative agent behavior control | [Docs](https://docs.praison.ai/docs/features/policy-engine) |
-| 🔄 | **Background Tasks** — fire-and-forget agents | [Docs](https://docs.praison.ai/docs/features/background-tasks) |
-| 🔁 | **Doom Loop Detection** — auto-recovery from stuck agents | [Docs](https://docs.praison.ai/docs/features/doom-loop-detection) |
-| 🕸️ | **Graph Memory** — Neo4j-style relationship tracking | [Docs](https://docs.praison.ai/docs/features/graph-memory) |
-| 🏖️ | **Sandbox Execution** — isolated code execution | [Docs](https://docs.praison.ai/docs/features/sandbox) |
-| 🖥️ | **Bot Gateway** — multi-agent routing across channels | [Docs](https://docs.praison.ai/docs/features/bot-gateway) |
-
-</details>
-
-
-
-
----
-
-## 📘 Using Python Code
-
-### 1. Single Agent
-
-```python
-from praisonaiagents import Agent
-agent = Agent(instructions="You are a helpful AI assistant")
-agent.start("Write a movie script about a robot in Mars")
-```
-
-### 2. Multi Agents
-
-```python
-from praisonaiagents import Agent, Agents
-
-research_agent = Agent(instructions="Research about AI")
-summarise_agent = Agent(instructions="Summarise research agent's findings")
-agents = Agents(agents=[research_agent, summarise_agent])
-agents.start()
-```
-
-### 3. MCP (Model Context Protocol)
+### `npm run build`
 
-```python
-from praisonaiagents import Agent, MCP
+Builds the app for production to the `build` folder.\
+It correctly bundles React in production mode and optimizes the build for the best performance.
 
-# stdio - Local NPX/Python servers
-agent = Agent(tools=MCP("npx @modelcontextprotocol/server-memory"))
+The build is minified and the filenames include the hashes.\
+Your app is ready to be deployed!
 
-# Streamable HTTP - Production servers
-agent = Agent(tools=MCP("https://api.example.com/mcp"))
+See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
 
-# WebSocket - Real-time bidirectional
-agent = Agent(tools=MCP("wss://api.example.com/mcp", auth_token="token"))
+### `npm run eject`
 
-# With environment variables
-agent = Agent(
-    tools=MCP(
-        command="npx",
-        args=["-y", "@modelcontextprotocol/server-brave-search"],
-        env={"BRAVE_API_KEY": "your-key"}
-    )
-)
-```
+**Note: this is a one-way operation. Once you `eject`, you can't go back!**
 
-> 📖 [Full MCP docs](https://docs.praison.ai/docs/mcp/transports) — stdio, HTTP, WebSocket, SSE transports
+If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
 
-### 4. Custom Tools
+Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
 
-```python
-from praisonaiagents import Agent, tool
+You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
 
-@tool
-def search(query: str) -> str:
-    """Search the web for information."""
-    return f"Results for: {query}"
+## Learn More
 
-@tool
-def calculate(expression: str) -> float:
-    """Evaluate a math expression."""
-    return eval(expression)
+You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
 
-agent = Agent(
-    instructions="You are a helpful assistant",
-    tools=[search, calculate]
-)
-agent.start("Search for AI news and calculate 15*4")
-```
+To learn React, check out the [React documentation](https://reactjs.org/).
 
-> 📖 [Full tools docs](https://docs.praison.ai/docs/tools/tools) — BaseTool, tool packages, 100+ built-in tools
+### Code Splitting
 
-### 5. Persistence (Databases)
+This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
 
-```python
-from praisonaiagents import Agent, db
+### Analyzing the Bundle Size
 
-agent = Agent(
-    name="Assistant",
-    db=db(database_url="postgresql://localhost/mydb"),
-    session_id="my-session"
-)
-agent.chat("Hello!")  # Auto-persists messages, runs, traces
-```
+This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
 
-> 📖 [Full persistence docs](https://docs.praison.ai/docs/databases/overview) — PostgreSQL, MySQL, SQLite, MongoDB, Redis, and 20+ more
+### Making a Progressive Web App
 
-### 6. PraisonAI Claw 🦞 (Dashboard UI)
+This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
 
-Connect your AI agents to **Telegram, Discord, Slack, WhatsApp** and more — all from a single command.
+### Advanced Configuration
 
-```bash
-pip install "praisonai[claw]"
-praisonai claw
-```
+This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
 
-Open **http://localhost:8082** — the dashboard comes with 13 built-in pages: Chat, Agents, Memory, Knowledge, Channels, Guardrails, Cron, and more. Add messaging channels directly from the UI.
+### Deployment
 
-> 📖 [Full Claw docs](https://docs.praison.ai/docs/concepts/claw) — platform tokens, CLI options, Docker, and YAML agent mode
+This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
 
-### 7. Langflow Integration 🔗 (Visual Flow Builder)
+### `npm run build` fails to minify
 
-Build multi-agent workflows visually with **drag-and-drop** components in Langflow.
-
-```bash
-pip install "praisonai[flow]"
-praisonai flow
-```
-
-Open **http://localhost:7861** — use the **Agent** and **Agent Team** components to create sequential or parallel workflows. Connect Chat Input → Agent Team → Chat Output for instant multi-agent pipelines.
-
-> 📖 [Full Flow docs](https://docs.praison.ai/docs/concepts/flow) — visual agent building, component reference, and deployment
-
-### 8. PraisonAI UI 🤖 (Clean Chat)
-
-Lightweight chat interface for your AI agents.
-
-```bash
-pip install "praisonai[ui]"
-praisonai ui
-```
-
----
-
-## 📄 Using YAML (No Code)
-
-### Example 1: Two Agents Working Together
-
-Create `agents.yaml`:
-
-```yaml
-framework: praisonai
-topic: "Write a blog post about AI"
-
-agents:
-  researcher:
-    role: Research Analyst
-    goal: Research AI trends and gather information
-    instructions: "Find accurate information about AI trends"
-    
-  writer:
-    role: Content Writer
-    goal: Write engaging blog posts
-    instructions: "Write clear, engaging content based on research"
-```
-
-Run with:
-```bash
-praisonai agents.yaml
-```
-
-> The agents automatically work together sequentially
-
-### Example 2: Agent with Custom Tool
-
-Create two files in the same folder:
-
-**agents.yaml:**
-```yaml
-framework: praisonai
-topic: "Calculate the sum of 25 and 15"
-
-agents:
-  calculator_agent:
-    role: Calculator
-    goal: Perform calculations
-    instructions: "Use the add_numbers tool to help with calculations"
-    tools:
-      - add_numbers
-```
-
-**tools.py:**
-```python
-def add_numbers(a: float, b: float) -> float:
-    """
-    Add two numbers together.
-    
-    Args:
-        a: First number
-        b: Second number
-    
-    Returns:
-        The sum of a and b
-    """
-    return a + b
-```
-
-Run with:
-```bash
-praisonai agents.yaml
-```
-
-> 💡 **Tips:** 
-> - Use the function name (e.g., `add_numbers`) in the tools list, not the file name
-> - Tools in `tools.py` are automatically discovered
-> - The function's docstring helps the AI understand how to use it
-
----
-
-## 🎯 CLI Quick Reference
-
-| Category | Commands |
-|----------|----------|
-| **Execution** | `praisonai`, `--auto`, `--interactive`, `--chat` |
-| **Research** | `research`, `--query-rewrite`, `--deep-research` |
-| **Planning** | `--planning`, `--planning-tools`, `--planning-reasoning` |
-| **Workflows** | `workflow run`, `workflow list`, `workflow auto` |
-| **Memory** | `memory show`, `memory add`, `memory search`, `memory clear` |
-| **Knowledge** | `knowledge add`, `knowledge query`, `knowledge list` |
-| **Sessions** | `session list`, `session resume`, `session delete` |
-| **Tools** | `tools list`, `tools info`, `tools search` |
-| **MCP** | `mcp list`, `mcp create`, `mcp enable` |
-| **Development** | `commit`, `docs`, `checkpoint`, `hooks` |
-| **Scheduling** | `schedule start`, `schedule list`, `schedule stop` |
-
-> 📖 [Full CLI reference](https://docs.praison.ai/docs/cli/cli-reference)
-
----
-
-## ✨ Key Features
-
-<details open>
-<summary><strong>🤖 Core Agents</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Single Agent | [Example](examples/python/agents/single-agent.py) | [📖](https://docs.praison.ai/docs/agents/single) |
-| Multi Agents | [Example](examples/python/general/mini_agents_example.py) | [📖](https://docs.praison.ai/docs/concepts/agents) |
-| Auto Agents | [Example](examples/python/general/auto_agents_example.py) | [📖](https://docs.praison.ai/docs/features/autoagents) |
-| Self Reflection AI Agents | [Example](examples/python/concepts/self-reflection-details.py) | [📖](https://docs.praison.ai/docs/concepts/reflection) |
-| Reasoning AI Agents | [Example](examples/python/concepts/reasoning-extraction.py) | [📖](https://docs.praison.ai/docs/features/reasoning) |
-| Multi Modal AI Agents | [Example](examples/python/general/multimodal.py) | [📖](https://docs.praison.ai/docs/features/multimodal) |
-
-</details>
-
-<details>
-<summary><strong>🔄 Workflows</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Simple Workflow | [Example](examples/python/workflows/simple_workflow.py) | [📖](https://docs.praison.ai/docs/concepts/agentflow) |
-| Workflow with Agents | [Example](examples/python/workflows/workflow_with_agents.py) | [📖](https://docs.praison.ai/docs/concepts/agentflow) |
-| Agentic Routing (`route()`) | [Example](examples/python/workflows/workflow_routing.py) | [📖](https://docs.praison.ai/docs/features/routing) |
-| Parallel Execution (`parallel()`) | [Example](examples/python/workflows/workflow_parallel.py) | [📖](https://docs.praison.ai/docs/features/parallelisation) |
-| Loop over List/CSV (`loop()`) | [Example](examples/python/workflows/workflow_loop_csv.py) | [📖](https://docs.praison.ai/docs/features/repetitive) |
-| Evaluator-Optimizer (`repeat()`) | [Example](examples/python/workflows/workflow_repeat.py) | [📖](https://docs.praison.ai/docs/concepts/evaluation) |
-| Conditional Steps | [Example](examples/python/workflows/workflow_conditional.py) | [📖](https://docs.praison.ai/docs/concepts/agentflow) |
-| Workflow Branching | [Example](examples/python/workflows/workflow_branching.py) | [📖](https://docs.praison.ai/docs/concepts/agentflow) |
-| Workflow Early Stop | [Example](examples/python/workflows/workflow_early_stop.py) | [📖](https://docs.praison.ai/docs/concepts/agentflow) |
-| Workflow Checkpoints | [Example](examples/python/workflows/workflow_checkpoints.py) | [📖](https://docs.praison.ai/docs/concepts/agentflow) |
-
-</details>
-
-<details>
-<summary><strong>💻 Code & Development</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Code Interpreter Agents | [Example](examples/python/agents/code-agent.py) | [📖](https://docs.praison.ai/docs/features/codeagent) |
-| AI Code Editing Tools | [Example](examples/python/code/code_editing_example.py) | [📖](https://docs.praison.ai/docs/code/editing) |
-| External Agents (All) | [Example](examples/python/code/external_agents_example.py) | [📖](https://docs.praison.ai/docs/code/external-agents) |
-| Claude Code CLI | [Example](examples/python/code/claude_code_example.py) | [📖](https://docs.praison.ai/docs/code/claude-code) |
-| Gemini CLI | [Example](examples/python/code/gemini_cli_example.py) | [📖](https://docs.praison.ai/docs/code/gemini-cli) |
-| Codex CLI | [Example](examples/python/code/codex_cli_example.py) | [📖](https://docs.praison.ai/docs/code/codex-cli) |
-| Cursor CLI | [Example](examples/python/code/cursor_cli_example.py) | [📖](https://docs.praison.ai/docs/code/cursor-cli) |
-
-</details>
-
-<details>
-<summary><strong>🧠 Memory & Knowledge</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Memory (Short & Long Term) | [Example](examples/python/general/memory_example.py) | [📖](https://docs.praison.ai/docs/concepts/memory) |
-| File-Based Memory | [Example](examples/python/general/memory_example.py) | [📖](https://docs.praison.ai/docs/concepts/memory) |
-| Claude Memory Tool | [Example](examples/python/memory/claude_memory_example.py) | [📖](https://docs.praison.ai/docs/features/claude-memory-tool) |
-| Add Custom Knowledge | [Example](examples/python/concepts/knowledge-agents.py) | [📖](https://docs.praison.ai/docs/concepts/knowledge) |
-| RAG Agents | [Example](examples/python/concepts/rag-agents.py) | [📖](https://docs.praison.ai/docs/concepts/rag) |
-| Chat with PDF Agents | [Example](examples/python/concepts/chat-with-pdf.py) | [📖](https://docs.praison.ai/docs/features/chat-with-pdf) |
-| Data Readers (PDF, DOCX, etc.) | [CLI](https://docs.praison.ai/docs/cli/knowledge) | [📖](https://docs.praison.ai/docs/features/chunking-strategies) |
-| Vector Store Selection | [CLI](https://docs.praison.ai/docs/cli/knowledge) | [📖](https://docs.praison.ai/docs/features/knowledge-backends) |
-| Retrieval Strategies | [CLI](https://docs.praison.ai/docs/cli/knowledge) | [📖](https://docs.praison.ai/docs/features/retrieval-strategies) |
-| Rerankers | [CLI](https://docs.praison.ai/docs/cli/knowledge) | [📖](https://docs.praison.ai/docs/features/smart-retrieval) |
-| Index Types (Vector/Keyword/Hybrid) | [CLI](https://docs.praison.ai/docs/cli/knowledge) | [📖](https://docs.praison.ai/docs/features/incremental-indexing) |
-| Query Engines (Sub-Question, etc.) | [CLI](https://docs.praison.ai/docs/cli/knowledge) | [📖](https://docs.praison.ai/docs/features/retrieval) |
-
-</details>
-
-<details>
-<summary><strong>🔬 Research & Intelligence</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Deep Research Agents | [Example](examples/python/agents/research-agent.py) | [📖](https://docs.praison.ai/docs/agents/deep-research) |
-| Query Rewriter Agent | [Example](examples/python/agents/query-rewriter-agent.py) | [📖](https://docs.praison.ai/docs/agents/query-rewriter) |
-| Native Web Search | [Example](examples/python/agents/websearch-agent.py) | [📖](https://docs.praison.ai/docs/agents/websearch) |
-| Built-in Search Tools | [Example](examples/python/agents/websearch-agent.py) | [📖](https://docs.praison.ai/docs/tools/tavily) |
-| Unified Web Search | [Example](src/praisonai-agents/examples/web_search_example.py) | [📖](https://docs.praison.ai/docs/tools/web-search) |
-| Web Fetch (Anthropic) | [Example](examples/python/agents/web-fetch-agent.py) | [📖](https://docs.praison.ai/docs/features/model-capabilities) |
-
-</details>
-
-<details>
-<summary><strong>📋 Planning & Execution</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Planning Mode | [Example](examples/python/agents/planning-agent.py) | [📖](https://docs.praison.ai/docs/concepts/planning) |
-| Planning Tools | [Example](examples/python/agents/planning-agent.py) | [📖](https://docs.praison.ai/docs/concepts/planning) |
-| Planning Reasoning | [Example](examples/python/agents/planning-agent.py) | [📖](https://docs.praison.ai/docs/concepts/planning) |
-| Prompt Chaining | [Example](examples/python/general/prompt_chaining.py) | [📖](https://docs.praison.ai/docs/features/promptchaining) |
-| Evaluator Optimiser | [Example](examples/python/general/evaluator-optimiser.py) | [📖](https://docs.praison.ai/docs/concepts/evaluation) |
-| Orchestrator Workers | [Example](examples/python/general/orchestrator-workers.py) | [📖](https://docs.praison.ai/docs/concepts/orchestration) |
-
-</details>
-
-<details>
-<summary><strong>👥 Specialized Agents</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Data Analyst Agent | [Example](examples/python/agents/data-analyst-agent.py) | [📖](https://docs.praison.ai/docs/agents/data-analyst) |
-| Finance Agent | [Example](examples/python/agents/finance-agent.py) | [📖](https://docs.praison.ai/docs/agents/finance) |
-| Shopping Agent | [Example](examples/python/agents/shopping-agent.py) | [📖](https://docs.praison.ai/docs/agents/shopping) |
-| Recommendation Agent | [Example](examples/python/agents/recommendation-agent.py) | [📖](https://docs.praison.ai/docs/agents/recommendation) |
-| Wikipedia Agent | [Example](examples/python/agents/wikipedia-agent.py) | [📖](https://docs.praison.ai/docs/agents/wikipedia) |
-| Programming Agent | [Example](examples/python/agents/programming-agent.py) | [📖](https://docs.praison.ai/docs/agents/programming) |
-| Math Agents | [Example](examples/python/agents/math-agent.py) | [📖](https://docs.praison.ai/docs/features/mathagent) |
-| Markdown Agent | [Example](examples/python/agents/markdown-agent.py) | [📖](https://docs.praison.ai/docs/agents/markdown) |
-| Prompt Expander Agent | [Example](examples/python/agents/prompt-expander-agent.py) | [📖](https://docs.praison.ai/docs/agents/prompt-expander) |
-
-</details>
-
-<details>
-<summary><strong>🎨 Media & Multimodal</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Image Generation Agent | [Example](examples/python/image/image-agent.py) | [📖](https://docs.praison.ai/docs/features/image-generation) |
-| Image to Text Agent | [Example](examples/python/agents/image-to-text-agent.py) | [📖](https://docs.praison.ai/docs/agents/image-to-text) |
-| Video Agent | [Example](examples/python/agents/video-agent.py) | [📖](https://docs.praison.ai/docs/agents/video) |
-| Camera Integration | [Example](examples/python/camera/) | [📖](https://docs.praison.ai/docs/features/camera-integration) |
-
-</details>
-
-<details>
-<summary><strong>🔌 Protocols & Integration</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| MCP Transports | [Example](examples/python/mcp/mcp-transports-overview.py) | [📖](https://docs.praison.ai/docs/mcp/transports) |
-| WebSocket MCP | [Example](examples/python/mcp/websocket-mcp.py) | [📖](https://docs.praison.ai/docs/mcp/sse-transport) |
-| MCP Security | [Example](examples/python/mcp/mcp-security.py) | [📖](https://docs.praison.ai/docs/mcp/transports) |
-| MCP Resumability | [Example](examples/python/mcp/mcp-resumability.py) | [📖](https://docs.praison.ai/docs/mcp/sse-transport) |
-| MCP Config Management | [Docs](https://docs.praison.ai/docs/cli/mcp) | [📖](https://docs.praison.ai/docs/cli/mcp) |
-| LangChain Integrated Agents | [Example](examples/python/general/langchain_example.py) | [📖](https://docs.praison.ai/docs/features/langchain) |
-
-</details>
-
-<details>
-<summary><strong>🛡️ Safety & Control</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Guardrails | [Example](examples/python/guardrails/comprehensive-guardrails-example.py) | [📖](https://docs.praison.ai/docs/concepts/guardrails) |
-| Human Approval | [Example](examples/python/general/human_approval_example.py) | [📖](https://docs.praison.ai/docs/concepts/approval) |
-| Rules & Instructions | [Docs](https://docs.praison.ai/docs/features/rules) | [📖](https://docs.praison.ai/docs/features/rules) |
-
-</details>
-
-<details>
-<summary><strong>⚙️ Advanced Features</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Async & Parallel Processing | [Example](examples/python/general/async_example.py) | [📖](https://docs.praison.ai/docs/features/async) |
-| Parallelisation | [Example](examples/python/general/parallelisation.py) | [📖](https://docs.praison.ai/docs/features/parallelisation) |
-| Repetitive Agents | [Example](examples/python/concepts/repetitive-agents.py) | [📖](https://docs.praison.ai/docs/features/repetitive) |
-| Agent Handoffs | [Example](examples/python/handoff/handoff_basic.py) | [📖](https://docs.praison.ai/docs/concepts/handoffs) |
-| Stateful Agents | [Example](examples/python/stateful/workflow-state-example.py) | [📖](https://docs.praison.ai/docs/features/stateful-agents) |
-| Autonomous Workflow | [Example](examples/python/general/autonomous-agent.py) | [📖](https://docs.praison.ai/docs/concepts/autonomy) |
-| Structured Output Agents | [Example](examples/python/general/structured_agents_example.py) | [📖](https://docs.praison.ai/docs/features/structured) |
-| Model Router | [Example](examples/python/agents/router-agent-cost-optimization.py) | [📖](https://docs.praison.ai/docs/features/model-router) |
-| Prompt Caching | [Example](examples/python/agents/prompt-caching-agent.py) | [📖](https://docs.praison.ai/docs/features/model-capabilities) |
-| Fast Context | [Example](examples/context/00_agent_fast_context_basic.py) | [📖](https://docs.praison.ai/docs/features/fast-context) |
-
-</details>
-
-<details>
-<summary><strong>🛠️ Tools & Configuration</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| 100+ Custom Tools | [Example](examples/python/general/tools_example.py) | [📖](https://docs.praison.ai/docs/tools/tools) |
-| YAML Configuration | [Example](examples/cookbooks/yaml/secondary_market_research_agents.yaml) | [📖](https://docs.praison.ai/docs/developers/agents-playbook) |
-| 100+ LLM Support | [Example](examples/python/providers/openai/openai_gpt4_example.py) | [📖](https://docs.praison.ai/docs/models) |
-| Callback Agents | [Example](examples/python/general/advanced-callback-systems.py) | [📖](https://docs.praison.ai/docs/concepts/hooks) |
-| Hooks | [Example](examples/python/hooks/hooks_example.py) | [📖](https://docs.praison.ai/docs/concepts/hooks) |
-| Middleware System | [Example](examples/middleware/basic_middleware.py) | [📖](https://docs.praison.ai/docs/features/middleware) |
-| Configurable Model | [Example](examples/middleware/configurable_model.py) | [📖](https://docs.praison.ai/docs/features/configurable-model) |
-| Rate Limiter | [Example](examples/middleware/rate_limiter.py) | [📖](https://docs.praison.ai/docs/features/rate-limiter) |
-| Injected Tool State | [Example](examples/middleware/injected_state.py) | [📖](https://docs.praison.ai/docs/features/injected-state) |
-| Shadow Git Checkpoints | [Example](examples/checkpoints/basic_checkpoint.py) | [📖](https://docs.praison.ai/docs/features/checkpoints) |
-| Background Tasks | [Example](examples/background/basic_background.py) | [📖](https://docs.praison.ai/docs/features/background-tasks) |
-| Policy Engine | [Example](examples/policy/basic_policy.py) | [📖](https://docs.praison.ai/docs/features/policy-engine) |
-| Thinking Budgets | [Example](examples/thinking/basic_thinking.py) | [📖](https://docs.praison.ai/docs/features/thinking-budgets) |
-| Output Styles | [Example](examples/output/basic_output.py) | [📖](https://docs.praison.ai/docs/features/output-styles) |
-| Context Compaction | [Example](examples/compaction/basic_compaction.py) | [📖](https://docs.praison.ai/docs/features/context-compaction) |
-
-</details>
-
-<details>
-<summary><strong>📊 Monitoring & Management</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Sessions Management | [Example](examples/python/sessions/comprehensive-session-management.py) | [📖](https://docs.praison.ai/docs/concepts/session-management) |
-| Auto-Save Sessions | [Docs](https://docs.praison.ai/docs/cli/session) | [📖](https://docs.praison.ai/docs/cli/session) |
-| History in Context | [Docs](https://docs.praison.ai/docs/cli/session) | [📖](https://docs.praison.ai/docs/cli/session) |
-| Telemetry | [Example](examples/python/telemetry/production-telemetry-example.py) | [📖](https://docs.praison.ai/docs/features/telemetry) |
-| Project Docs (.praison/docs/) | [Docs](https://docs.praison.ai/docs/cli/docs) | [📖](https://docs.praison.ai/docs/cli/docs) |
-| AI Commit Messages | [Docs](https://docs.praison.ai/docs/cli/commit) | [📖](https://docs.praison.ai/docs/cli/commit) |
-| @Mentions in Prompts | [Docs](https://docs.praison.ai/docs/cli/mentions) | [📖](https://docs.praison.ai/docs/cli/mentions) |
-
-</details>
-
-<details>
-<summary><strong>🖥️ CLI Features</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Slash Commands | [Example](examples/python/cli/slash_commands_example.py) | [📖](https://docs.praison.ai/docs/cli/slash-commands) |
-| Autonomy Modes | [Example](examples/python/cli/autonomy_modes_example.py) | [📖](https://docs.praison.ai/docs/cli/autonomy-modes) |
-| Cost Tracking | [Example](examples/python/cli/cost_tracking_example.py) | [📖](https://docs.praison.ai/docs/cli/cost-tracking) |
-| Repository Map | [Example](examples/python/cli/repo_map_example.py) | [📖](https://docs.praison.ai/docs/cli/repo-map) |
-| Interactive TUI | [Example](examples/python/cli/interactive_tui_example.py) | [📖](https://docs.praison.ai/docs/cli/interactive-tui) |
-| Git Integration | [Example](examples/python/cli/git_integration_example.py) | [📖](https://docs.praison.ai/docs/cli/git-integration) |
-| Sandbox Execution | [Example](examples/python/cli/sandbox_execution_example.py) | [📖](https://docs.praison.ai/docs/cli/sandbox-execution) |
-| CLI Compare | [Example](examples/compare/cli_compare_basic.py) | [📖](https://docs.praison.ai/docs/cli/compare) |
-| Profile/Benchmark | [Docs](https://docs.praison.ai/docs/cli/profile) | [📖](https://docs.praison.ai/docs/cli/profile) |
-| Auto Mode | [Docs](https://docs.praison.ai/docs/cli/auto) | [📖](https://docs.praison.ai/docs/cli/auto) |
-| Init | [Docs](https://docs.praison.ai/docs/cli/init) | [📖](https://docs.praison.ai/docs/cli/init) |
-| File Input | [Docs](https://docs.praison.ai/docs/cli/file-input) | [📖](https://docs.praison.ai/docs/cli/file-input) |
-| Final Agent | [Docs](https://docs.praison.ai/docs/cli/final-agent) | [📖](https://docs.praison.ai/docs/cli/final-agent) |
-| Max Tokens | [Docs](https://docs.praison.ai/docs/cli/max-tokens) | [📖](https://docs.praison.ai/docs/cli/max-tokens) |
-
-</details>
-
-<details>
-<summary><strong>🧪 Evaluation</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Accuracy Evaluation | [Example](examples/eval/accuracy_example.py) | [📖](https://docs.praison.ai/docs/cli/eval) |
-| Performance Evaluation | [Example](examples/eval/performance_example.py) | [📖](https://docs.praison.ai/docs/cli/eval) |
-| Reliability Evaluation | [Example](examples/eval/reliability_example.py) | [📖](https://docs.praison.ai/docs/cli/eval) |
-| Criteria Evaluation | [Example](examples/eval/criteria_example.py) | [📖](https://docs.praison.ai/docs/cli/eval) |
-
-</details>
-
-<details>
-<summary><strong>🎯 Agent Skills</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Skills Management | [Example](examples/skills/basic_skill_usage.py) | [📖](https://docs.praison.ai/docs/concepts/skills) |
-| Custom Skills | [Example](examples/skills/custom_skill_example.py) | [📖](https://docs.praison.ai/docs/concepts/skills) |
-
-</details>
-
-<details>
-<summary><strong>⏰ 24/7 Scheduling</strong></summary>
-
-| Feature | Code | Docs |
-|---------|:----:|:----:|
-| Agent Scheduler | [Example](examples/python/scheduled_agents/news_checker_live.py) | [📖](https://docs.praison.ai/docs/cli/scheduler) |
-
-</details>
-
----
-
-## 💻 Using JavaScript Code
-
-```bash
-npm install praisonai
-export OPENAI_API_KEY=xxxxxxxxxxxxxxxxxxxxxx
-```
-
-```javascript
-const { Agent } = require('praisonai');
-const agent = new Agent({ instructions: 'You are a helpful AI assistant' });
-agent.start('Write a movie script about a robot in Mars');
-```
-
----
-
-## ⚡ Performance
-
-PraisonAI is built for speed, with agent instantiation in under 4μs. This reduces overhead, improves responsiveness, and helps multi-agent systems scale efficiently in real-world production workloads.
-
-| Performance Metric | PraisonAI |
-|--------------------|-----------|
-| Avg Instantiation Time | **3.77 μs** |
-
----
-
-
-
----
-
-## ⭐ Star History
-
-[![Star History Chart](https://api.star-history.com/svg?repos=MervinPraison/PraisonAI&type=Date)](https://docs.praison.ai)
-
----
-
-## 🎓 Video Tutorials
-
-Learn PraisonAI through our comprehensive video series:
-
-<details>
-<summary><strong>View all 22 video tutorials</strong></summary>
-
-| Topic | Video |
-|-------|--------|
-| AI Agents with Self Reflection | [![Self Reflection](https://img.youtube.com/vi/vLXobEN2Vc8/0.jpg)](https://www.youtube.com/watch?v=vLXobEN2Vc8) |
-| Reasoning Data Generating Agent | [![Reasoning Data](https://img.youtube.com/vi/fUT332Y2zA8/0.jpg)](https://www.youtube.com/watch?v=fUT332Y2zA8) |
-| AI Agents with Reasoning | [![Reasoning](https://img.youtube.com/vi/KNDVWGN3TpM/0.jpg)](https://www.youtube.com/watch?v=KNDVWGN3TpM) |
-| Multimodal AI Agents | [![Multimodal](https://img.youtube.com/vi/hjAWmUT1qqY/0.jpg)](https://www.youtube.com/watch?v=hjAWmUT1qqY) |
-| AI Agents Workflow | [![Workflow](https://img.youtube.com/vi/yWTH44QPl2A/0.jpg)](https://www.youtube.com/watch?v=yWTH44QPl2A) |
-| Async AI Agents | [![Async](https://img.youtube.com/vi/VhVQfgo00LE/0.jpg)](https://www.youtube.com/watch?v=VhVQfgo00LE) |
-| Mini AI Agents | [![Mini](https://img.youtube.com/vi/OkvYp5aAGSg/0.jpg)](https://www.youtube.com/watch?v=OkvYp5aAGSg) |
-| AI Agents with Memory | [![Memory](https://img.youtube.com/vi/1hVfVxvPnnQ/0.jpg)](https://www.youtube.com/watch?v=1hVfVxvPnnQ) |
-| Repetitive Agents | [![Repetitive](https://img.youtube.com/vi/dAYGxsjDOPg/0.jpg)](https://www.youtube.com/watch?v=dAYGxsjDOPg) |
-| Introduction | [![Introduction](https://img.youtube.com/vi/Fn1lQjC0GO0/0.jpg)](https://www.youtube.com/watch?v=Fn1lQjC0GO0) |
-| Tools Overview | [![Tools Overview](https://img.youtube.com/vi/XaQRgRpV7jo/0.jpg)](https://www.youtube.com/watch?v=XaQRgRpV7jo) |
-| Custom Tools | [![Custom Tools](https://img.youtube.com/vi/JSU2Rndh06c/0.jpg)](https://www.youtube.com/watch?v=JSU2Rndh06c) |
-| Firecrawl Integration | [![Firecrawl](https://img.youtube.com/vi/UoqUDcLcOYo/0.jpg)](https://www.youtube.com/watch?v=UoqUDcLcOYo) |
-| User Interface | [![UI](https://img.youtube.com/vi/tg-ZjNl3OCg/0.jpg)](https://www.youtube.com/watch?v=tg-ZjNl3OCg) |
-| Crawl4AI Integration | [![Crawl4AI](https://img.youtube.com/vi/KAvuVUh0XU8/0.jpg)](https://www.youtube.com/watch?v=KAvuVUh0XU8) |
-| Chat Interface | [![Chat](https://img.youtube.com/vi/sw3uDqn2h1Y/0.jpg)](https://www.youtube.com/watch?v=sw3uDqn2h1Y) |
-| Code Interface | [![Code](https://img.youtube.com/vi/_5jQayO-MQY/0.jpg)](https://www.youtube.com/watch?v=_5jQayO-MQY) |
-| Mem0 Integration | [![Mem0](https://img.youtube.com/vi/KIGSgRxf1cY/0.jpg)](https://www.youtube.com/watch?v=KIGSgRxf1cY) |
-| Training | [![Training](https://img.youtube.com/vi/aLawE8kwCrI/0.jpg)](https://www.youtube.com/watch?v=aLawE8kwCrI) |
-| Realtime Voice Interface | [![Realtime](https://img.youtube.com/vi/frRHfevTCSw/0.jpg)](https://www.youtube.com/watch?v=frRHfevTCSw) |
-| Call Interface | [![Call](https://img.youtube.com/vi/m1cwrUG2iAk/0.jpg)](https://www.youtube.com/watch?v=m1cwrUG2iAk) |
-| Reasoning Extract Agents | [![Reasoning Extract](https://img.youtube.com/vi/2PPamsADjJA/0.jpg)](https://www.youtube.com/watch?v=2PPamsADjJA) |
-
-</details>
-
----
-
-## 👥 Contributing
-
-We welcome contributions! Fork the repo, create a branch, and submit a PR → [Contributing Guide](https://github.com/MervinPraison/PraisonAI/blob/main/CONTRIBUTING.md).
-
----
-
-## ❓ FAQ & Troubleshooting
-
-<details>
-<summary><strong>ModuleNotFoundError: No module named 'praisonaiagents'</strong></summary>
-
-Install the package:
-```bash
-pip install praisonaiagents
-```
-
-</details>
-
-<details>
-<summary><strong>API key not found / Authentication error</strong></summary>
-
-Ensure your API key is set:
-```bash
-export OPENAI_API_KEY=your_key_here
-```
-
-For other providers, see [Models docs](https://docs.praison.ai/docs/models).
-
-</details>
-
-<details>
-<summary><strong>How do I use a local model (Ollama)?</strong></summary>
-
-```bash
-# Start Ollama server first
-ollama serve
-
-# Set environment variable
-export OPENAI_BASE_URL=http://localhost:11434/v1
-```
-
-See [Models docs](https://docs.praison.ai/docs/models) for more details.
-
-</details>
-
-<details>
-<summary><strong>How do I persist conversations to a database?</strong></summary>
-
-Use the `db` parameter:
-```python
-from praisonaiagents import Agent, db
-
-agent = Agent(
-    name="Assistant",
-    db=db(database_url="postgresql://localhost/mydb"),
-    session_id="my-session"
-)
-```
-
-See [Persistence docs](https://docs.praison.ai/docs/databases/overview) for supported databases.
-
-</details>
-
-<details>
-<summary><strong>How do I enable agent memory?</strong></summary>
-
-```python
-from praisonaiagents import Agent
-
-agent = Agent(
-    name="Assistant",
-    memory=True,  # Enables file-based memory (no extra deps!)
-    user_id="user123"
-)
-```
-
-See [Memory docs](https://docs.praison.ai/docs/concepts/memory) for more options.
-
-</details>
-
-<details>
-<summary><strong>How do I run multiple agents together?</strong></summary>
-
-```python
-from praisonaiagents import Agent, Agents
-
-agent1 = Agent(instructions="Research topics")
-agent2 = Agent(instructions="Summarize findings")
-agents = Agents(agents=[agent1, agent2])
-agents.start()
-```
-
-See [Agents docs](https://docs.praison.ai/docs/concepts/agents) for more examples.
-
-</details>
-
-<details>
-<summary><strong>How do I use MCP tools?</strong></summary>
-
-```python
-from praisonaiagents import Agent, MCP
-
-agent = Agent(
-    tools=MCP("npx @modelcontextprotocol/server-memory")
-)
-```
-
-See [MCP docs](https://docs.praison.ai/docs/mcp/transports) for all transport options.
-
-</details>
-
-### Getting Help
-
-- 📚 [Full Documentation](https://docs.praison.ai)
-- 🐛 [Report Issues](https://github.com/MervinPraison/PraisonAI/issues)
-- 💬 [Discussions](https://github.com/MervinPraison/PraisonAI/discussions)
-
----
-
-<div align="center">
-  <p><strong>Made with ❤️ by the PraisonAI Team</strong></p>
-  <p>
-    <a href="https://docs.praison.ai">📚 Documentation</a> •
-    <a href="https://github.com/MervinPraison/PraisonAI">GitHub</a> •
-    <a href="https://youtube.com/@MervinPraison">▶️ YouTube</a> •
-    <a href="https://x.com/MervinPraison">𝕏 X</a> •
-    <a href="https://linkedin.com/in/mervinpraison">💼 LinkedIn</a>
-  </p>
-</div>
+This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)

docker/.env.template

@@ -1,59 +0,0 @@
-# PraisonAI Docker Environment Configuration
-# Copy this file to .env and update with your values
-
-# Required: OpenAI API Key
-OPENAI_API_KEY=your_openai_api_key_here
-
-# Required: Chainlit Authentication Secret (generate a random string)
-CHAINLIT_AUTH_SECRET=your_chainlit_secret_here
-
-# Optional: Additional API Keys
-ANTHROPIC_API_KEY=your_anthropic_api_key_here
-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
-
-# Optional: Port Configuration (modify if you have conflicts)
-UI_PORT=8082
-CHAT_PORT=8083
-API_PORT=8080
-
-# Optional: Database Configuration
-DATABASE_URL=sqlite:///root/.praison/database.sqlite
-
-# Optional: Logging Configuration
-LOG_LEVEL=INFO
-PYTHONPATH=/app
-
-# Optional: Development Settings
-DEV_MODE=false
-DEBUG=false
-
-# Optional: Model Configuration
-DEFAULT_MODEL=gpt-4
-DEFAULT_TEMPERATURE=0.7
-MAX_TOKENS=4000
-
-# Optional: Security Settings
-CORS_ORIGINS=http://localhost:3000,http://localhost:8082,http://localhost:8083
-RATE_LIMIT=100
-
-# Optional: Feature Flags
-ENABLE_CHAT=true
-ENABLE_UI=true
-ENABLE_API=true
-ENABLE_REALTIME=true
-
-# Optional: Volume Paths (for custom mounting)
-PRAISON_DATA_PATH=~/.praison
-EXAMPLES_PATH=./examples

docker/Dockerfile

@@ -1,46 +0,0 @@
-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 Python packages (using latest versions)
-# Note: praisonai is installed from PyPI - remove version pin to use latest available
-RUN pip install --no-cache-dir \
-    flask \
-    praisonai \
-    "praisonai[api]" \
-    gunicorn \
-    markdown
-
-# Copy application code
-COPY . .
-
-# Set environment variables for directory management
-ENV PRAISON_CONFIG_DIR=/root/.praison
-ENV DOCKER_CONTAINER=true
-
-# Create health check API if api.py doesn't exist
-RUN if [ ! -f api.py ]; then \
-    echo "from flask import Flask\n\
-app = Flask(__name__)\n\
-\n\
-@app.route('/health')\n\
-def health():\n\
-    return {'status': 'healthy'}, 200\n\
-\n\
-if __name__ == '__main__':\n\
-    app.run()" > api.py; \
-fi
-
-EXPOSE 8080
-CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]

docker/Dockerfile.chat

@@ -1,33 +0,0 @@
-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 Python packages (using latest versions)
-RUN pip install --no-cache-dir \
-    praisonai_tools \
-    "praisonai>=4.5.119" \
-    "praisonai[chat]" \
-    "embedchain[github,youtube]"
-
-# Copy application code
-COPY . .
-
-# Set environment variables for directory management
-ENV PRAISON_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_DB_DIR=/root/.praison
-ENV DOCKER_CONTAINER=true
-
-# Default command (will be overridden by docker-compose)
-CMD ["praisonai", "chat"]

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

@@ -1,47 +0,0 @@
-FROM python:3.11-slim
-
-WORKDIR /app
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    gcc \
-    python3-dev \
-    portaudio19-dev \
-    python3-pyaudio \
-    curl \
-    git \
-    vim \
-    nano \
-    && rm -rf /var/lib/apt/lists/*
-
-# Create praison config directory
-RUN mkdir -p /root/.praison
-
-# Install Python packages (using latest versions)
-RUN pip install --no-cache-dir \
-    praisonai_tools \
-    "praisonai>=4.5.119" \
-    "praisonai[ui]" \
-    "praisonai[chat]" \
-    "praisonai[realtime]" \
-    "praisonai[code]" \
-    "embedchain[github,youtube]" \
-    jupyter \
-    jupyterlab \
-    notebook \
-    pytest \
-    pytest-asyncio \
-    mkdocs \
-    mkdocs-material
-
-# Copy application code
-COPY . .
-
-# Set environment variables for directory management
-ENV PRAISON_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_DB_DIR=/root/.praison
-ENV DOCKER_CONTAINER=true
-
-# Default command (will be overridden by docker-compose)
-CMD ["praisonai", "ui"]

docker/Dockerfile.praisonaiagents

@@ -1,32 +0,0 @@
-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
-
-# Copy praisonaiagents source
-COPY src/praisonai-agents/ /app/praisonaiagents/
-WORKDIR /app/praisonaiagents
-
-# Install praisonaiagents with all features (non-editable for production)
-RUN pip install --no-cache-dir ".[all]"
-
-# Set environment variables for directory management
-ENV PRAISON_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_DB_DIR=/root/.praison
-ENV DOCKER_CONTAINER=true
-
-WORKDIR /app
-
-# Default command
-CMD ["python", "-c", "import praisonaiagents; print('PraisonAI Agents installed successfully')"]

docker/Dockerfile.serve

@@ -1,25 +0,0 @@
-# Dockerfile for PraisonAI Serve API
-# Deploy to Railway, Render, Fly.io, or any container platform
-#
-# Build: docker build -f Dockerfile.serve -t praisonai-serve .
-# Run:   docker run -p 8005:8005 -e OPENAI_API_KEY=sk-xxx praisonai-serve
-
-FROM python:3.11-slim
-
-WORKDIR /app
-
-# Install dependencies
-RUN pip install --no-cache-dir praisonai praisonaiagents
-
-# Copy agents configuration
-COPY agents.yaml .
-
-# Expose the API port
-EXPOSE 8005
-
-# Health check
-HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:8005/health || exit 1
-
-# Start the API server
-CMD ["praisonai", "serve", "agents.yaml", "--host", "0.0.0.0", "--port", "8005"]

docker/Dockerfile.ui

@@ -1,33 +0,0 @@
-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 Python packages (using latest versions)
-RUN pip install --no-cache-dir \
-    praisonai_tools \
-    "praisonai>=4.5.119" \
-    "praisonai[ui]" \
-    "praisonai[crewai]"
-
-# Copy application code
-COPY . .
-
-# Set environment variables for directory management
-ENV PRAISON_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_CONFIG_DIR=/root/.praison
-ENV CHAINLIT_DB_DIR=/root/.praison
-ENV DOCKER_CONTAINER=true
-
-# Default command (will be overridden by docker-compose)
-CMD ["praisonai", "ui"]

docker/README.md

@@ -1,265 +0,0 @@
-# PraisonAI Docker Setup
-
-This directory contains Docker configurations for running PraisonAI services in containerized environments. The setup addresses directory management issues and provides comprehensive multi-service deployment options.
-
-## 🐳 Available Services
-
-### Core Services
-- **UI Service** (`port 8082`) - Chainlit-based web interface
-- **Chat Service** (`port 8083`) - Dedicated chat interface  
-- **API Service** (`port 8080`) - REST API endpoint
-- **Agents Service** - Standalone PraisonAI Agents runtime
-
-### Docker Files
-- `Dockerfile` - Basic API service
-- `Dockerfile.ui` - UI service with web interface
-- `Dockerfile.chat` - Chat-focused service
-- `Dockerfile.dev` - Development environment with tools
-- `Dockerfile.praisonaiagents` - Standalone agents framework
-- `docker-compose.yml` - Multi-service orchestration
-
-## 🚀 Quick Start
-
-### Single Service
-```bash
-# Run UI service
-docker run -p 8082:8082 -e OPENAI_API_KEY=your_key ghcr.io/mervinpraison/praisonai:ui
-
-# Run Chat service  
-docker run -p 8083:8083 -e OPENAI_API_KEY=your_key ghcr.io/mervinpraison/praisonai:chat
-
-# Run API service
-docker run -p 8080:8080 -e OPENAI_API_KEY=your_key ghcr.io/mervinpraison/praisonai:api
-```
-
-### Multi-Service with Docker Compose
-```bash
-# Create environment file
-cat > .env << EOF
-OPENAI_API_KEY=your_openai_api_key_here
-CHAINLIT_AUTH_SECRET=your_secret_here
-EOF
-
-# Start all services
-docker-compose up -d
-
-# View logs
-docker-compose logs -f
-
-# Stop services
-docker-compose down
-```
-
-## 📁 Directory Management
-
-### Problem Solved
-The original issue was that files like `chainlit.md`, `.chainlit` directory, and `public` folder were cluttering the root directory.
-
-### Solution Implemented
-All PraisonAI configuration and runtime files are now stored in `~/.praison/`:
-
-```bash
-~/.praison/
-├── database.sqlite      # Chainlit database
-├── chainlit.md         # Chainlit configuration 
-├── .chainlit/          # Chainlit runtime files
-└── config/             # PraisonAI configuration
-```
-
-### Environment Variables
-```bash
-PRAISON_CONFIG_DIR=/root/.praison      # Main config directory
-CHAINLIT_CONFIG_DIR=/root/.praison     # Chainlit config location
-CHAINLIT_DB_DIR=/root/.praison         # Database location
-```
-
-## 🔧 Service Configuration
-
-### UI Service (Port 8082)
-```yaml
-environment:
-  - CHAINLIT_PORT=8082
-  - CHAINLIT_HOST=0.0.0.0
-  - OPENAI_API_KEY=${OPENAI_API_KEY}
-  - CHAINLIT_AUTH_SECRET=${CHAINLIT_AUTH_SECRET}
-```
-
-### Chat Service (Port 8083)  
-```yaml
-environment:
-  - CHAINLIT_PORT=8083
-  - CHAINLIT_HOST=0.0.0.0
-  - OPENAI_API_KEY=${OPENAI_API_KEY}
-```
-
-### API Service (Port 8080)
-```yaml
-environment:
-  - OPENAI_API_KEY=${OPENAI_API_KEY}
-```
-
-## 🎯 Service Endpoints
-
-| Service | Port | Endpoint | Description |
-|---------|------|----------|-------------|
-| UI | 8082 | http://localhost:8082 | Web interface |
-| Chat | 8083 | http://localhost:8083 | Chat interface |
-| API | 8080 | http://localhost:8080 | REST API |
-| API Health | 8080 | http://localhost:8080/health | Health check |
-
-## 🔍 Health Checks
-
-All services include health checks:
-```yaml
-healthcheck:
-  test: ["CMD", "curl", "-f", "http://localhost:PORT"]
-  interval: 10s
-  timeout: 5s
-  retries: 3
-```
-
-## 📦 Package Versions
-
-All Docker images use consistent, up-to-date versions:
-- PraisonAI: `>=2.2.95`
-- PraisonAI Agents: `>=0.0.92`
-- Python: `3.11-slim`
-
-## 🔒 Security Features
-
-- Non-root user execution where possible
-- Minimal base image (python:3.11-slim)
-- No unnecessary packages installed
-- Environment variable-based configuration
-- Volume mounting for persistent data
-
-## 🛠 Development
-
-### Development Environment
-```bash
-# Use development Dockerfile with additional tools
-docker build -f Dockerfile.dev -t praisonai:dev .
-docker run -it -v $(pwd):/app praisonai:dev bash
-```
-
-### Custom Configuration
-```bash
-# Mount custom config directory
-docker run -v ~/.praison:/root/.praison praisonai:ui
-```
-
-## 📊 Monitoring
-
-### Docker Compose Monitoring
-```bash
-# View service status
-docker-compose ps
-
-# View resource usage
-docker-compose top
-
-# View logs for specific service
-docker-compose logs ui
-docker-compose logs chat
-docker-compose logs api
-```
-
-## 🚨 Troubleshooting
-
-### Common Issues
-
-1. **Port conflicts**
-   ```bash
-   # Check port usage
-   netstat -tlnp | grep :8082
-   
-   # Use different ports
-   docker run -p 9082:8082 praisonai:ui
-   ```
-
-2. **Environment variables not loading**
-   ```bash
-   # Verify .env file
-   cat .env
-   
-   # Set variables directly
-   docker run -e OPENAI_API_KEY=your_key praisonai:ui
-   ```
-
-3. **Permission issues**
-   ```bash
-   # Check volume permissions
-   ls -la ~/.praison/
-   
-   # Fix permissions
-   sudo chown -R $(id -u):$(id -g) ~/.praison/
-   ```
-
-4. **Service won't start**
-   ```bash
-   # Check logs
-   docker-compose logs service_name
-   
-   # Restart service
-   docker-compose restart service_name
-   ```
-
-## 🔄 Updates
-
-### Pulling Latest Images
-```bash
-# Pull latest images
-docker-compose pull
-
-# Restart with new images
-docker-compose up -d
-```
-
-### Version Pinning
-To use specific versions, update the Dockerfile:
-```dockerfile
-RUN pip install "praisonai==2.2.95" "praisonaiagents==0.0.92"
-```
-
-## 🌐 Production Deployment
-
-### Recommended Production Setup
-```yaml
-# docker-compose.prod.yml
-version: '3.8'
-services:
-  ui:
-    image: ghcr.io/mervinpraison/praisonai:ui
-    restart: unless-stopped
-    environment:
-      - CHAINLIT_HOST=0.0.0.0
-      - CHAINLIT_PORT=8082
-    volumes:
-      - praison_data:/root/.praison
-    networks:
-      - praison_network
-    deploy:
-      resources:
-        limits:
-          memory: 1G
-        reservations:
-          memory: 512M
-```
-
-### Load Balancer Configuration
-For production environments, consider using nginx or similar:
-```nginx
-upstream praisonai {
-    server localhost:8082;
-    server localhost:8083;
-}
-
-server {
-    listen 80;
-    location / {
-        proxy_pass http://praisonai;
-    }
-}
-```
-
-This Docker setup provides a clean, organized, and scalable way to deploy PraisonAI services while solving the directory management issues mentioned in the original request.

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/call/Dockerfile

@@ -1,23 +0,0 @@
-# Use an official Python runtime as a parent image
-FROM python:3.11-slim
-
-# Set environment variables
-ENV PYTHONDONTWRITEBYTECODE 1
-ENV PYTHONUNBUFFERED 1
-
-# Set work directory
-WORKDIR /app
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    build-essential \
-    && rm -rf /var/lib/apt/lists/*
-
-# Install PraisonAI with the 'call' extra and ensure it's the latest version
-RUN pip install --no-cache-dir --upgrade "praisonai[call]"
-
-# Expose the port the app runs on
-EXPOSE 8090
-
-# Run the application
-CMD ["praisonai", "call"]

docker/call/README.md

@@ -1,13 +0,0 @@
-# Praison AI Call Docker
-
-1. Build the Docker image:
-```
-docker build -t praisonai-call .
-```
-
-2. Run the container:
-```
-docker run -d -p 8090:8090 praisonai-call -e OPENAI_API_KEY=your_api_key_here
-```
-
-Make sure to replace your_api_key_here with your actual OpenAI API key.

docker/docker-compose.dev.yml

@@ -1,190 +0,0 @@
-version: '3.8'
-
-# Development Docker Compose Configuration
-# Extends the main docker-compose.yml with development-specific settings
-
-services:
-  # Development UI Service with hot reload
-  ui-dev:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.dev
-    volumes:
-      - praison_data:/root/.praison
-      - ../src:/app/src:rw
-      - ../examples:/app/examples:rw
-      - ../docs:/app/docs:ro
-    ports:
-      - "${UI_PORT:-8082}:8082"
-    environment:
-      FLASK_ENV: development
-      CHAINLIT_PORT: "8082"
-      CHAINLIT_HOST: "0.0.0.0"
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      CHAINLIT_AUTH_SECRET: ${CHAINLIT_AUTH_SECRET}
-      PRAISON_CONFIG_DIR: /root/.praison
-      CHAINLIT_CONFIG_DIR: /root/.praison
-      CHAINLIT_DB_DIR: /root/.praison
-      DEBUG: "true"
-      DEV_MODE: "true"
-      PYTHONPATH: /app/src
-    command: praisonai ui --host 0.0.0.0 --reload
-    networks:
-      - praison_network
-    depends_on:
-      - database
-
-  # Development Chat Service
-  chat-dev:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.dev
-    volumes:
-      - praison_data:/root/.praison
-      - ../src:/app/src:rw
-      - ../examples:/app/examples:rw
-    ports:
-      - "${CHAT_PORT:-8083}:8083"
-    environment:
-      CHAINLIT_PORT: "8083"
-      CHAINLIT_HOST: "0.0.0.0"
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      CHAINLIT_AUTH_SECRET: ${CHAINLIT_AUTH_SECRET}
-      PRAISON_CONFIG_DIR: /root/.praison
-      CHAINLIT_CONFIG_DIR: /root/.praison
-      CHAINLIT_DB_DIR: /root/.praison
-      DEBUG: "true"
-      DEV_MODE: "true"
-      PYTHONPATH: /app/src
-    command: praisonai chat --host 0.0.0.0 --port 8083 --reload
-    networks:
-      - praison_network
-    depends_on:
-      - database
-
-  # Development API Service with hot reload
-  api-dev:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.dev
-    volumes:
-      - praison_data:/root/.praison
-      - ../src:/app/src:rw
-      - ../examples:/app/examples:rw
-    ports:
-      - "${API_PORT:-8080}:8080"
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      PRAISON_CONFIG_DIR: /root/.praison
-      FLASK_ENV: development
-      DEBUG: "true"
-      DEV_MODE: "true"
-      PYTHONPATH: /app/src
-    command: python -m flask --app api run --host 0.0.0.0 --port 8080 --debug
-    networks:
-      - praison_network
-    depends_on:
-      - database
-
-  # Development Jupyter Notebook Service
-  jupyter:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.dev
-    volumes:
-      - praison_data:/root/.praison
-      - ../src:/app/src:rw
-      - ../examples:/app/examples:rw
-      - ../docs:/app/docs:rw
-    ports:
-      - "8888:8888"
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      PRAISON_CONFIG_DIR: /root/.praison
-      JUPYTER_ENABLE_LAB: "yes"
-      PYTHONPATH: /app/src
-    command: jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root --LabApp.token='' --LabApp.password=''
-    networks:
-      - praison_network
-
-  # Development Testing Service
-  test:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.dev
-    volumes:
-      - ../src:/app/src:rw
-      - ../tests:/app/tests:rw
-      - praison_data:/root/.praison
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      PRAISON_CONFIG_DIR: /root/.praison
-      PYTHONPATH: /app/src
-      PYTEST_CURRENT_TEST: "true"
-    command: python -m pytest tests/ -v
-    networks:
-      - praison_network
-    profiles:
-      - test
-
-  # Standalone database for development
-  database:
-    security_opt:
-      - "no-new-privileges:true"
-    image: postgres:15-alpine
-    environment:
-      POSTGRES_DB: praisonai_dev
-      POSTGRES_USER: praisonai
-      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-praisonai_dev_pass}
-    volumes:
-      - postgres_data:/var/lib/postgresql/data
-    read_only: true
-    tmpfs:
-      - /tmp
-      - /var/tmp
-    ports:
-      - "5432:5432"
-    networks:
-      - praison_network
-    profiles:
-      - database
-
-  # Redis for caching and session management
-  redis:
-    image: redis:7-alpine
-    ports:
-      - "6379:6379"
-    volumes:
-      - redis_data:/data
-    networks:
-      - praison_network
-    profiles:
-      - cache
-
-  # Development documentation server
-  docs:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.dev
-    volumes:
-      - ../docs:/app/docs:rw
-      - ../README.md:/app/README.md:ro
-    ports:
-      - "8000:8000"
-    command: sh -c "cd docs && mkdocs serve --dev-addr 0.0.0.0:8000"
-    networks:
-      - praison_network
-    profiles:
-      - docs
-
-volumes:
-  praison_data:
-    driver: local
-  postgres_data:
-    driver: local
-  redis_data:
-    driver: local
-
-networks:
-  praison_network:
-    driver: bridge

docker/docker-compose.yml

@@ -1,125 +0,0 @@
-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:
-      context: ..
-      dockerfile: docker/Dockerfile.ui
-    volumes:
-      - praison_data:/root/.praison
-      - .:/app
-    ports:
-      - "8082:8082"
-    environment:
-      FLASK_ENV: development
-      CHAINLIT_PORT: "8082"
-      CHAINLIT_HOST: "0.0.0.0"
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      CHAINLIT_AUTH_SECRET: ${CHAINLIT_AUTH_SECRET}
-      PRAISON_CONFIG_DIR: /root/.praison
-      CHAINLIT_CONFIG_DIR: /root/.praison
-      CHAINLIT_DB_DIR: /root/.praison
-    command: praisonai ui --host 0.0.0.0
-    healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8082" ]
-      interval: 10s
-      timeout: 5s
-      retries: 3
-    networks:
-      - praison_network
-
-  # PraisonAI Chat Service
-  chat:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.chat
-    volumes:
-      - praison_data:/root/.praison
-      - .:/app
-    ports:
-      - "8083:8083"
-    environment:
-      CHAINLIT_PORT: "8083"
-      CHAINLIT_HOST: "0.0.0.0"
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      CHAINLIT_AUTH_SECRET: ${CHAINLIT_AUTH_SECRET}
-      PRAISON_CONFIG_DIR: /root/.praison
-      CHAINLIT_CONFIG_DIR: /root/.praison
-      CHAINLIT_DB_DIR: /root/.praison
-    command: praisonai chat --host 0.0.0.0 --port 8083
-    healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8083" ]
-      interval: 10s
-      timeout: 5s
-      retries: 3
-    networks:
-      - praison_network
-
-  # PraisonAI API Service
-  api:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile
-    volumes:
-      - praison_data:/root/.praison
-    ports:
-      - "8080:8080"
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      PRAISON_CONFIG_DIR: /root/.praison
-    healthcheck:
-      test: [ "CMD", "curl", "-f", "http://localhost:8080/health" ]
-      interval: 10s
-      timeout: 5s
-      retries: 3
-    networks:
-      - praison_network
-
-  # PraisonAI Agents Service (standalone)
-  agents:
-    build:
-      context: ..
-      dockerfile: docker/Dockerfile.praisonaiagents
-    volumes:
-      - praison_data:/root/.praison
-      - ./examples:/app/examples
-    environment:
-      OPENAI_API_KEY: ${OPENAI_API_KEY}
-      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

docker/quick-start.sh

@@ -1,289 +0,0 @@
-#!/bin/bash
-
-# PraisonAI Docker Quick Start Script
-# This script helps users quickly get started with PraisonAI using Docker
-
-set -e
-
-# Colors for output
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-BLUE='\033[0;34m'
-NC='\033[0m' # No Color
-
-# Function to print colored output
-print_status() {
-    echo -e "${BLUE}[INFO]${NC} $1"
-}
-
-print_success() {
-    echo -e "${GREEN}[SUCCESS]${NC} $1"
-}
-
-print_warning() {
-    echo -e "${YELLOW}[WARNING]${NC} $1"
-}
-
-print_error() {
-    echo -e "${RED}[ERROR]${NC} $1"
-}
-
-# Check if Docker is installed
-check_docker() {
-    if ! command -v docker &> /dev/null; then
-        print_error "Docker is not installed. Please install Docker first:"
-        echo "  - Visit: https://docs.docker.com/get-docker/"
-        exit 1
-    fi
-    
-    if ! command -v docker-compose &> /dev/null && ! docker compose version &> /dev/null; then
-        print_error "Docker Compose is not available. Please install Docker Compose:"
-        echo "  - Visit: https://docs.docker.com/compose/install/"
-        exit 1
-    fi
-    
-    print_success "Docker and Docker Compose are available"
-}
-
-# Check if .env file exists, create from template if not
-setup_environment() {
-    if [ ! -f ".env" ]; then
-        print_status "Creating .env file from template..."
-        if [ -f ".env.template" ]; then
-            cp .env.template .env
-        else
-            cat > .env << EOF
-# PraisonAI Docker Environment Configuration
-OPENAI_API_KEY=your_openai_api_key_here
-CHAINLIT_AUTH_SECRET=$(openssl rand -hex 32 2>/dev/null || echo "your_chainlit_secret_here")
-FLASK_ENV=development
-CHAINLIT_HOST=0.0.0.0
-UI_PORT=8082
-CHAT_PORT=8083
-API_PORT=8080
-EOF
-        fi
-        print_warning "Please edit .env file and add your API keys before continuing"
-        print_status "Required: OPENAI_API_KEY"
-        read -p "Press Enter to continue after updating .env file..."
-    else
-        print_success ".env file already exists"
-    fi
-}
-
-# Function to show menu
-show_menu() {
-    echo ""
-    echo "=== PraisonAI Docker Quick Start ==="
-    echo ""
-    echo "1) Start UI Service (Web Interface) - Port 8082"
-    echo "2) Start Chat Service - Port 8083"
-    echo "3) Start API Service - Port 8080"
-    echo "4) Start All Services (Recommended)"
-    echo "5) Start Development Environment"
-    echo "6) View Service Status"
-    echo "7) View Logs"
-    echo "8) Stop All Services"
-    echo "9) Pull Latest Images"
-    echo "10) Clean Up (Remove containers and volumes)"
-    echo "11) Show Service URLs"
-    echo "0) Exit"
-    echo ""
-}
-
-# Start specific service
-start_service() {
-    local service=$1
-    print_status "Starting $service service..."
-    docker-compose up -d $service
-    print_success "$service service started"
-}
-
-# Start all services
-start_all_services() {
-    print_status "Starting all PraisonAI services..."
-    docker-compose up -d
-    print_success "All services started"
-    show_service_urls
-}
-
-# Start development environment
-start_dev_environment() {
-    print_status "Starting development environment..."
-    if [ -f "docker-compose.dev.yml" ]; then
-        docker-compose -f docker-compose.yml -f docker-compose.dev.yml up -d ui-dev chat-dev api-dev
-        print_success "Development environment started"
-        echo ""
-        echo "Development services available:"
-        echo "  - UI (with hot reload): http://localhost:${UI_PORT:-8082}"
-        echo "  - Chat (with hot reload): http://localhost:${CHAT_PORT:-8083}"
-        echo "  - API (with hot reload): http://localhost:${API_PORT:-8080}"
-        echo "  - Jupyter Lab: http://localhost:8888"
-        echo ""
-    else
-        print_warning "Development configuration not found, starting regular services"
-        start_all_services
-    fi
-}
-
-# Show service status
-show_status() {
-    print_status "Service Status:"
-    docker-compose ps
-}
-
-# Show logs
-show_logs() {
-    echo ""
-    echo "Which service logs would you like to view?"
-    echo "1) All services"
-    echo "2) UI service"
-    echo "3) Chat service"
-    echo "4) API service"
-    echo "5) Agents service"
-    read -p "Enter choice (1-5): " log_choice
-    
-    case $log_choice in
-        1) docker-compose logs -f ;;
-        2) docker-compose logs -f ui ;;
-        3) docker-compose logs -f chat ;;
-        4) docker-compose logs -f api ;;
-        5) docker-compose logs -f agents ;;
-        *) print_error "Invalid choice" ;;
-    esac
-}
-
-# Stop all services
-stop_services() {
-    print_status "Stopping all services..."
-    docker-compose down
-    print_success "All services stopped"
-}
-
-# Pull latest images
-pull_images() {
-    print_status "Pulling latest images..."
-    docker-compose pull
-    print_success "Images updated"
-}
-
-# Clean up
-cleanup() {
-    print_warning "This will remove all containers, networks, and volumes"
-    read -p "Are you sure? (y/N): " confirm
-    if [[ $confirm == [yY] || $confirm == [yY][eE][sS] ]]; then
-        print_status "Cleaning up..."
-        docker-compose down -v --remove-orphans
-        docker system prune -f
-        print_success "Cleanup completed"
-    fi
-}
-
-# Show service URLs
-show_service_urls() {
-    local ui_port=${UI_PORT:-8082}
-    local chat_port=${CHAT_PORT:-8083}
-    local api_port=${API_PORT:-8080}
-    
-    echo ""
-    echo "=== Service URLs ==="
-    echo "UI Service: http://localhost:$ui_port"
-    echo "Chat Service: http://localhost:$chat_port"
-    echo "API Service: http://localhost:$api_port"
-    echo "API Health: http://localhost:$api_port/health"
-    echo ""
-}
-
-# Check system requirements
-check_requirements() {
-    print_status "Checking system requirements..."
-    
-    # Check available memory
-    if command -v free &> /dev/null; then
-        available_ram=$(free -m | awk 'NR==2{printf "%.1f", $7/1024}')
-        print_status "Available RAM: ${available_ram}GB"
-        if (( $(echo "$available_ram < 2.0" | bc -l 2>/dev/null || echo "1") )); then
-            print_warning "Low available memory. Recommended: 2GB+ available RAM"
-        fi
-    fi
-    
-    # Check disk space
-    if command -v df &> /dev/null; then
-        available_space=$(df -BG . | awk 'NR==2{print $4}' | sed 's/G//')
-        print_status "Available disk space: ${available_space}GB"
-        if [ "$available_space" -lt 5 ]; then
-            print_warning "Low disk space. Recommended: 5GB+ available space"
-        fi
-    fi
-}
-
-# Main function
-main() {
-    clear
-    echo "🤖 Welcome to PraisonAI Docker Setup!"
-    echo ""
-    
-    # Check prerequisites
-    check_docker
-    check_requirements
-    setup_environment
-    
-    # Main loop
-    while true; do
-        show_menu
-        read -p "Enter your choice (0-11): " choice
-        
-        case $choice in
-            1)
-                start_service "ui"
-                echo "UI Service: http://localhost:${UI_PORT:-8082}"
-                ;;
-            2)
-                start_service "chat"
-                echo "Chat Service: http://localhost:${CHAT_PORT:-8083}"
-                ;;
-            3)
-                start_service "api"
-                echo "API Service: http://localhost:${API_PORT:-8080}"
-                ;;
-            4)
-                start_all_services
-                ;;
-            5)
-                start_dev_environment
-                ;;
-            6)
-                show_status
-                ;;
-            7)
-                show_logs
-                ;;
-            8)
-                stop_services
-                ;;
-            9)
-                pull_images
-                ;;
-            10)
-                cleanup
-                ;;
-            11)
-                show_service_urls
-                ;;
-            0)
-                print_success "Thank you for using PraisonAI!"
-                exit 0
-                ;;
-            *)
-                print_error "Invalid choice. Please try again."
-                ;;
-        esac
-        
-        echo ""
-        read -p "Press Enter to continue..."
-    done
-}
-
-# Run main function
-main

docker/services.yaml

@@ -1,5 +0,0 @@
-framework: praisonaiagents
-services:
-  - ui
-  - chat
-  - realtime

docker/settings.yaml

@@ -1,3 +0,0 @@
-code:
-  ignore_files:
-  - "*/__pycache__/*"

examples/.gitignore

@@ -1,2 +0,0 @@
-*.txt
-*.csv

examples/README.md

@@ -1,83 +0,0 @@
-# PraisonAI Examples
-
-This folder contains examples for PraisonAI. For detailed documentation, visit [docs.praison.ai](https://docs.praison.ai).
-
-## Structure
-
-```
-examples/
-├── python/           # Python examples
-│   ├── agents/       # Agent examples (single, multi, router, etc.)
-│   ├── workflows/    # Workflow patterns (routing, parallel, loop)
-│   ├── tools/        # Custom tools examples
-│   ├── mcp/          # MCP protocol examples
-│   ├── memory/       # Memory and sessions
-│   ├── code/         # Code editing and external CLI tools
-│   └── ...
-├── serve/            # Server and endpoints examples
-├── yaml/             # YAML workflow examples
-└── cookbooks/        # Complete use-case examples
-```
-
-## Quick Links
-
-| 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) |
-| **MCP** | [python/mcp/](python/mcp/) | [📖](https://docs.praison.ai/mcp) |
-| **Memory** | [python/memory/](python/memory/) | [📖](https://docs.praison.ai/concepts/memory) |
-| **Tools** | [python/tools/](python/tools/) | [📖](https://docs.praison.ai/tools) |
-| **Code** | [python/code/](python/code/) | [📖](https://docs.praison.ai/code) |
-| **YAML** | [yaml/](yaml/) | [📖](https://docs.praison.ai/features/yaml-workflows) |
-| **Doctor** | [doctor/](doctor/) | [📖](https://docs.praison.ai/cli/doctor) |
-| **Serve** | [serve/](serve/) | [📖](https://docs.praison.ai/cli/serve) |
-| **Endpoints** | [serve/](serve/) | [📖](https://docs.praison.ai/cli/endpoints) |
-
-## 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 |
-|---------|-------------|-------------|
-| [unified_server.py](serve/unified_server.py) | All providers in one server | `praisonai serve unified` |
-| [agent_as_api_single.py](serve/agent_as_api_single.py) | Single agent HTTP API | `praisonai serve agents` |
-| [agents_as_api_router.py](serve/agents_as_api_router.py) | Multi-agent router API | `praisonai serve agents` |
-| [a2a_server_client.py](serve/a2a_server_client.py) | A2A protocol server | `praisonai serve a2a` |
-| [a2u_events_stream.py](serve/a2u_events_stream.py) | A2U event stream | `praisonai serve a2u` |
-| [mcp_http_server.py](serve/mcp_http_server.py) | MCP HTTP server | `praisonai serve mcp` |
-| [tools_as_mcp_server.py](serve/tools_as_mcp_server.py) | Tools as MCP server | `praisonai serve tools` |
-| [agent_launch_modes.py](serve/agent_launch_modes.py) | Agent.launch() API | Python only |
-| [endpoints_unified_client.py](serve/endpoints_unified_client.py) | Unified client | `praisonai endpoints` |
-
-## Running Examples
-
-```bash
-# Install PraisonAI
-pip install praisonai
-
-# Set API key
-export OPENAI_API_KEY=your_key_here
-
-# Run an example
-python examples/python/agents/single-agent.py
-```
-
-## CLI Commands
-
-See the main [README.md](../README.md#-cli--no-code-interface) for all CLI commands.

examples/acp/README.md

@@ -1,137 +0,0 @@
-# ACP (Agent Client Protocol) Examples
-
-This directory contains examples for using PraisonAI with the Agent Client Protocol (ACP).
-
-## What is ACP?
-
-The Agent Client Protocol (ACP) is a standardized JSON-RPC 2.0 protocol that allows code editors and IDEs to communicate with AI coding agents. It enables seamless integration between PraisonAI and editors like:
-
-- **Zed**
-- **JetBrains IDEs** (IntelliJ, PyCharm, WebStorm, etc.)
-- **VSCode** (via extensions)
-- **Toad**
-
-## Quick Start
-
-### CLI Usage
-
-```bash
-# Start ACP server with defaults
-praisonai acp
-
-# Enable debug logging
-praisonai acp --debug
-
-# Allow file writes
-praisonai acp --allow-write
-
-# Use a specific model
-praisonai acp -m gpt-4o
-
-# Resume last session
-praisonai acp --resume --last
-```
-
-### Python API
-
-```python
-from praisonai.acp import serve
-
-serve(
-    workspace=".",
-    debug=True,
-    allow_write=True,
-)
-```
-
-## Editor Configuration
-
-### Zed
-
-Add to `~/.config/zed/settings.json`:
-
-```json
-{
-  "agent_servers": {
-    "PraisonAI": {
-      "command": "praisonai",
-      "args": ["acp"],
-      "env": {}
-    }
-  }
-}
-```
-
-### JetBrains
-
-Add to `~/.jetbrains/acp.json`:
-
-```json
-{
-  "agent_servers": {
-    "PraisonAI": {
-      "command": "praisonai",
-      "args": ["acp"],
-      "env": {}
-    }
-  }
-}
-```
-
-### Toad
-
-```bash
-toad acp "praisonai acp"
-```
-
-## Examples
-
-- `basic_acp_server.py` - Simple ACP server with default settings
-- `custom_agent_acp.py` - ACP server with a custom agent
-
-## CLI Options
-
-| Option | Description |
-|--------|-------------|
-| `-w, --workspace` | Workspace root directory |
-| `-a, --agent` | Agent name or config file |
-| `-m, --model` | LLM model to use |
-| `-r, --resume` | Resume session by ID |
-| `--last` | Resume the last session |
-| `--approve` | Approval mode: manual, auto, scoped |
-| `--read-only` | Read-only mode (default) |
-| `--allow-write` | Allow file writes |
-| `--allow-shell` | Allow shell commands |
-| `--debug` | Enable debug logging |
-
-## Installation
-
-```bash
-pip install praisonai[acp]
-```
-
-## Protocol Details
-
-ACP uses JSON-RPC 2.0 over stdio:
-- **stdin**: Receives JSON-RPC requests from the client
-- **stdout**: Sends JSON-RPC responses to the client
-- **stderr**: Debug/log output (never pollutes stdout)
-
-### Supported Methods
-
-**Agent Methods (client → agent):**
-- `initialize` - Negotiate protocol version and capabilities
-- `authenticate` - Optional authentication
-- `session/new` - Create a new session
-- `session/load` - Load an existing session
-- `session/prompt` - Send user message
-- `session/cancel` - Cancel ongoing operations
-- `session/set_mode` - Change operating mode
-
-**Client Methods (agent → client):**
-- `session/update` - Send progress updates
-- `session/request_permission` - Request user approval
-- `fs/read_text_file` - Read file contents
-- `fs/write_text_file` - Write file contents
-- `terminal/create` - Create terminal
-- `terminal/output` - Get terminal output

examples/acp/basic_acp_server.py

@@ -1,27 +0,0 @@
-#!/usr/bin/env python3
-"""
-Basic ACP Server Example
-
-This example demonstrates how to run PraisonAI as an ACP server
-that can be connected to by IDEs like Zed, JetBrains, VSCode, or Toad.
-
-Usage:
-    # Run from command line
-    praisonai acp
-    
-    # Or run this script directly
-    python basic_acp_server.py
-"""
-
-from praisonai.acp import serve
-
-if __name__ == "__main__":
-    # Start ACP server with default settings
-    # This will listen on stdin/stdout for JSON-RPC messages
-    serve(
-        workspace=".",           # Current directory as workspace
-        agent="default",         # Use default agent
-        debug=False,             # Set to True for debug logging to stderr
-        read_only=True,          # Safe by default
-        approval_mode="manual",  # Require approval for actions
-    )

examples/acp/custom_agent_acp.py

@@ -1,45 +0,0 @@
-#!/usr/bin/env python3
-"""
-Custom Agent ACP Server Example
-
-This example shows how to run a custom PraisonAI agent as an ACP server.
-
-Usage:
-    python custom_agent_acp.py
-"""
-
-from praisonai.acp import serve, ACPServer, ACPConfig
-from praisonaiagents import Agent
-
-# Create a custom agent
-agent = Agent(
-    name="CodeAssistant",
-    instructions="""You are an expert coding assistant. You help users:
-    - Write clean, efficient code
-    - Debug issues
-    - Explain complex concepts
-    - Review code for best practices
-    
-    Always provide clear explanations with your code suggestions.""",
-    model="gpt-4o-mini",
-)
-
-if __name__ == "__main__":
-    # Create config
-    config = ACPConfig(
-        workspace=".",
-        debug=True,
-        allow_write=True,  # Allow file modifications
-        approval_mode="manual",
-    )
-    
-    # Create server with custom agent
-    server = ACPServer(config=config, agent=agent)
-    
-    # Run the server
-    serve(
-        workspace=".",
-        debug=True,
-        allow_write=True,
-        approval_mode="manual",
-    )

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

@@ -1,135 +0,0 @@
-"""
-Agent-Centric Tools Example
-
-This example demonstrates how to use LSP/ACP-powered tools that make
-the Agent the central orchestrator for file operations.
-
-How to run:
-    export OPENAI_API_KEY=your_key
-    python examples/agent_tools/agent_centric_example.py
-
-Prerequisites:
-    pip install praisonai praisonaiagents
-"""
-
-import asyncio
-import os
-import sys
-import tempfile
-import shutil
-
-# Add paths for development
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../src/praisonai'))
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../src/praisonai-agents'))
-
-
-async def main():
-    print("=" * 60)
-    print("AGENT-CENTRIC TOOLS EXAMPLE")
-    print("=" * 60)
-    print()
-    
-    # Create temporary workspace
-    workspace = tempfile.mkdtemp(prefix="praisonai_example_")
-    print(f"Workspace: {workspace}")
-    print()
-    
-    try:
-        # Import after path setup
-        from praisonai.cli.features import (
-            create_agent_centric_tools,
-            InteractiveRuntime,
-            RuntimeConfig
-        )
-        from praisonaiagents import Agent
-        
-        # 1. Create runtime with ACP enabled
-        print("1. Creating InteractiveRuntime with ACP...")
-        config = RuntimeConfig(
-            workspace=workspace,
-            lsp_enabled=False,  # Skip LSP for this example
-            acp_enabled=True,
-            approval_mode="auto"  # Auto-approve for demo
-        )
-        runtime = InteractiveRuntime(config)
-        status = await runtime.start()
-        
-        print(f"   ACP ready: {runtime.acp_ready}")
-        print(f"   Read-only: {runtime.read_only}")
-        print()
-        
-        # 2. Create agent-centric tools
-        print("2. Creating agent-centric tools...")
-        tools = create_agent_centric_tools(runtime)
-        print(f"   Tools created: {len(tools)}")
-        for tool in tools:
-            print(f"     - {tool.__name__}")
-        print()
-        
-        # 3. Create Agent with ACP-powered tools
-        print("3. Creating Agent with ACP-powered tools...")
-        agent = Agent(
-            name="FileAgent",
-            instructions="""You help create and manage files. 
-            Use acp_create_file to create files.
-            Use read_file to read files.
-            Use list_files to list directory contents.""",
-            tools=tools,
-            output="verbose"  # Use new consolidated param
-        )
-        print()
-        
-        # 4. Ask agent to create a file
-        print("4. Asking agent to create a Python file...")
-        print("-" * 40)
-        result = agent.start(
-            "Create a Python file called calculator.py with add and subtract functions"
-        )
-        print("-" * 40)
-        print(f"Agent response: {result[:200]}..." if len(str(result)) > 200 else f"Agent response: {result}")
-        print()
-        
-        # 5. Verify file was created
-        print("5. Verifying file creation...")
-        calc_path = os.path.join(workspace, "calculator.py")
-        if os.path.exists(calc_path):
-            print(f"   ✓ File created at {calc_path}")
-            with open(calc_path) as f:
-                content = f.read()
-                print(f"   Content preview:")
-                for line in content.split('\n')[:10]:
-                    print(f"     {line}")
-        else:
-            # Check what files exist
-            files = os.listdir(workspace)
-            print(f"   Files in workspace: {files}")
-            for f in files:
-                fp = os.path.join(workspace, f)
-                if os.path.isfile(fp):
-                    print(f"   ✓ Found: {f}")
-        print()
-        
-        # 6. Ask agent to read the file
-        print("6. Asking agent to read the file...")
-        print("-" * 40)
-        result2 = agent.start("Read the calculator.py file and tell me what functions it has")
-        print("-" * 40)
-        print(f"Agent response: {result2[:300]}..." if len(str(result2)) > 300 else f"Agent response: {result2}")
-        print()
-        
-        # Cleanup
-        await runtime.stop()
-        
-    finally:
-        # Clean up workspace
-        shutil.rmtree(workspace, ignore_errors=True)
-        print(f"Cleaned up workspace: {workspace}")
-    
-    print()
-    print("=" * 60)
-    print("EXAMPLE COMPLETE")
-    print("=" * 60)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

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/async_runs/README.py

@@ -1,35 +0,0 @@
-"""
-Async Runs Examples
-===================
-
-This directory contains examples for the PraisonAI Async Jobs API.
-
-Examples:
----------
-1. sdk_submit_poll_result.py - Python SDK example for submit/poll/result
-2. cli_submit_poll_result.sh - Bash/curl example for submit/poll/result
-3. idempotency.sh - Demonstrates idempotency key usage
-4. cancel.sh - Demonstrates job cancellation
-5. sse_stream.sh - Demonstrates SSE streaming
-
-Prerequisites:
---------------
-1. Set OPENAI_API_KEY environment variable
-2. Start the jobs server:
-   
-   cd /path/to/praisonai-package/src/praisonai
-   python -m uvicorn praisonai.jobs.server:create_app --port 8005 --factory
-
-3. Run examples:
-   
-   python sdk_submit_poll_result.py
-   bash cli_submit_poll_result.sh
-   bash idempotency.sh
-   bash cancel.sh
-   bash sse_stream.sh
-
-Environment Variables:
-----------------------
-- OPENAI_API_KEY: Required for agent execution
-- PRAISONAI_BASE_URL: API server URL (default: http://127.0.0.1:8005)
-"""

examples/async_runs/cancel.sh

@@ -1,54 +0,0 @@
-#!/bin/bash
-# CLI Example: Cancel a Running Job
-#
-# This example demonstrates how to cancel a running job.
-#
-# Requirements:
-# - Jobs server running on http://127.0.0.1:8005
-#
-# Usage:
-#     bash cancel.sh
-
-set -e
-
-API_URL="${PRAISONAI_BASE_URL:-http://127.0.0.1:8005}"
-
-echo "============================================================"
-echo "PraisonAI Job Cancellation Example"
-echo "============================================================"
-
-# Submit a long-running job
-echo ""
-echo "1. Submitting a job..."
-RESPONSE=$(curl -s -X POST "$API_URL/api/v1/runs" \
-    -H "Content-Type: application/json" \
-    -d '{"prompt": "Write a detailed essay about the history of computing."}')
-
-JOB_ID=$(echo "$RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['job_id'])")
-echo "   Job ID: $JOB_ID"
-
-# Wait briefly
-echo ""
-echo "2. Waiting 1 second..."
-sleep 1
-
-# Cancel the job
-echo ""
-echo "3. Cancelling job..."
-CANCEL_RESPONSE=$(curl -s -X POST "$API_URL/api/v1/runs/$JOB_ID/cancel")
-STATUS=$(echo "$CANCEL_RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['status'])")
-echo "   Status after cancel: $STATUS"
-
-# Verify cancellation
-echo ""
-echo "4. Verification:"
-if [ "$STATUS" = "cancelled" ]; then
-    echo "   ✓ SUCCESS: Job was cancelled"
-else
-    echo "   ℹ Job status: $STATUS (may have completed before cancel)"
-fi
-
-echo ""
-echo "============================================================"
-echo "Cancellation example completed!"
-echo "============================================================"

examples/async_runs/cli_submit_poll_result.sh

@@ -1,75 +0,0 @@
-#!/bin/bash
-# CLI Example: Submit, Poll, and Get Result for Async Jobs
-#
-# This example demonstrates how to use the PraisonAI CLI to:
-# 1. Submit an async job
-# 2. Check job status
-# 3. Get the result
-#
-# Requirements:
-# - OPENAI_API_KEY environment variable set
-# - Jobs server running on http://127.0.0.1:8005
-#
-# Usage:
-#     bash cli_submit_poll_result.sh
-
-set -e
-
-API_URL="${PRAISONAI_BASE_URL:-http://127.0.0.1:8005}"
-
-echo "============================================================"
-echo "PraisonAI Async Jobs CLI Example"
-echo "============================================================"
-
-# Check if server is running
-echo ""
-echo "Checking server health..."
-if ! curl -s "$API_URL/health" > /dev/null 2>&1; then
-    echo "✗ Server not available at $API_URL"
-    echo "  Start the server with: python -m uvicorn praisonai.jobs.server:create_app --port 8005 --factory"
-    exit 1
-fi
-echo "✓ Server is healthy"
-
-# 1. Submit a job
-echo ""
-echo "1. Submitting job..."
-RESPONSE=$(curl -s -X POST "$API_URL/api/v1/runs" \
-    -H "Content-Type: application/json" \
-    -d '{"prompt": "What is 2+2? Answer with just the number."}')
-
-JOB_ID=$(echo "$RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['job_id'])")
-echo "   Job ID: $JOB_ID"
-
-# 2. Poll for status
-echo ""
-echo "2. Polling for status..."
-while true; do
-    STATUS_RESPONSE=$(curl -s "$API_URL/api/v1/runs/$JOB_ID")
-    STATUS=$(echo "$STATUS_RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['status'])")
-    PROGRESS=$(echo "$STATUS_RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['progress']['percentage'])")
-    
-    echo "   Status: $STATUS | Progress: ${PROGRESS}%"
-    
-    if [ "$STATUS" = "succeeded" ] || [ "$STATUS" = "failed" ] || [ "$STATUS" = "cancelled" ]; then
-        break
-    fi
-    
-    sleep 2
-done
-
-# 3. Get result
-echo ""
-echo "3. Getting result..."
-if [ "$STATUS" = "succeeded" ]; then
-    RESULT=$(curl -s "$API_URL/api/v1/runs/$JOB_ID/result")
-    echo "   Result: $(echo "$RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin)['result'])")"
-    echo "   Duration: $(echo "$RESULT" | python3 -c "import sys,json; print(f\"{json.load(sys.stdin)['duration_seconds']:.2f}s\")")"
-else
-    echo "   Job did not succeed: $STATUS"
-fi
-
-echo ""
-echo "============================================================"
-echo "Example completed!"
-echo "============================================================"

examples/async_runs/idempotency.sh

@@ -1,57 +0,0 @@
-#!/bin/bash
-# CLI Example: Idempotency Key Usage
-#
-# This example demonstrates how idempotency keys prevent duplicate job submissions.
-# Submitting the same request with the same idempotency key returns the existing job.
-#
-# Requirements:
-# - Jobs server running on http://127.0.0.1:8005
-#
-# Usage:
-#     bash idempotency.sh
-
-set -e
-
-API_URL="${PRAISONAI_BASE_URL:-http://127.0.0.1:8005}"
-IDEM_KEY="example-idem-key-$(date +%s)"
-
-echo "============================================================"
-echo "PraisonAI Idempotency Key Example"
-echo "============================================================"
-
-# First submission
-echo ""
-echo "1. First submission with Idempotency-Key: $IDEM_KEY"
-RESPONSE1=$(curl -s -X POST "$API_URL/api/v1/runs" \
-    -H "Content-Type: application/json" \
-    -H "Idempotency-Key: $IDEM_KEY" \
-    -d '{"prompt": "What is 1+1?"}')
-
-JOB_ID1=$(echo "$RESPONSE1" | python3 -c "import sys,json; print(json.load(sys.stdin)['job_id'])")
-echo "   Job ID: $JOB_ID1"
-
-# Second submission with same key
-echo ""
-echo "2. Second submission with SAME Idempotency-Key: $IDEM_KEY"
-RESPONSE2=$(curl -s -X POST "$API_URL/api/v1/runs" \
-    -H "Content-Type: application/json" \
-    -H "Idempotency-Key: $IDEM_KEY" \
-    -d '{"prompt": "Different prompt but same key"}')
-
-JOB_ID2=$(echo "$RESPONSE2" | python3 -c "import sys,json; print(json.load(sys.stdin)['job_id'])")
-echo "   Job ID: $JOB_ID2"
-
-# Verify same job ID
-echo ""
-echo "3. Verification:"
-if [ "$JOB_ID1" = "$JOB_ID2" ]; then
-    echo "   ✓ SUCCESS: Same job ID returned (no duplicate created)"
-else
-    echo "   ✗ FAILURE: Different job IDs returned"
-    exit 1
-fi
-
-echo ""
-echo "============================================================"
-echo "Idempotency example completed!"
-echo "============================================================"

examples/async_runs/sdk_submit_poll_result.py

@@ -1,121 +0,0 @@
-#!/usr/bin/env python3
-"""
-SDK Example: Submit, Poll, and Get Result for Async Jobs
-
-This example demonstrates how to use the PraisonAI Jobs SDK to:
-1. Submit an async job
-2. Poll for status
-3. Get the result
-
-Requirements:
-- OPENAI_API_KEY environment variable set
-- Jobs server running on http://127.0.0.1:8005
-
-Usage:
-    python sdk_submit_poll_result.py
-"""
-
-import os
-import time
-import httpx
-
-# Configuration
-API_URL = os.getenv("PRAISONAI_BASE_URL", "http://127.0.0.1:8005")
-POLL_INTERVAL = 2  # seconds
-
-
-def submit_job(prompt: str, idempotency_key: str = None) -> dict:
-    """Submit a job and return the response."""
-    headers = {}
-    if idempotency_key:
-        headers["Idempotency-Key"] = idempotency_key
-    
-    with httpx.Client(timeout=30.0) as client:
-        response = client.post(
-            f"{API_URL}/api/v1/runs",
-            json={"prompt": prompt},
-            headers=headers if headers else None
-        )
-        response.raise_for_status()
-        return response.json()
-
-
-def get_status(job_id: str) -> dict:
-    """Get job status."""
-    with httpx.Client(timeout=30.0) as client:
-        response = client.get(f"{API_URL}/api/v1/runs/{job_id}")
-        response.raise_for_status()
-        return response.json()
-
-
-def get_result(job_id: str) -> dict:
-    """Get job result."""
-    with httpx.Client(timeout=30.0) as client:
-        response = client.get(f"{API_URL}/api/v1/runs/{job_id}/result")
-        response.raise_for_status()
-        return response.json()
-
-
-def wait_for_completion(job_id: str, max_wait: int = 120) -> dict:
-    """Poll until job completes."""
-    start = time.time()
-    while time.time() - start < max_wait:
-        status = get_status(job_id)
-        print(f"  Status: {status['status']} | Progress: {status['progress']['percentage']:.0f}%")
-        
-        if status["status"] in ("succeeded", "failed", "cancelled"):
-            return status
-        
-        # Honor retry_after if present
-        wait_time = status.get("retry_after") or POLL_INTERVAL
-        time.sleep(wait_time)
-    
-    raise TimeoutError(f"Job {job_id} did not complete within {max_wait}s")
-
-
-def main():
-    print("=" * 60)
-    print("PraisonAI Async Jobs SDK Example")
-    print("=" * 60)
-    
-    # Check if server is running
-    try:
-        with httpx.Client(timeout=5.0) as client:
-            health = client.get(f"{API_URL}/health")
-            health.raise_for_status()
-            print(f"✓ Server healthy: {health.json()['status']}")
-    except Exception as e:
-        print(f"✗ Server not available at {API_URL}: {e}")
-        print("  Start the server with: python -m uvicorn praisonai.jobs.server:create_app --port 8005 --factory")
-        return
-    
-    # 1. Submit a job
-    print("\n1. Submitting job...")
-    prompt = "What is the capital of France? Answer in one word."
-    result = submit_job(prompt)
-    job_id = result["job_id"]
-    print(f"   Job ID: {job_id}")
-    print(f"   Status: {result['status']}")
-    print(f"   Poll URL: {result['poll_url']}")
-    
-    # 2. Wait for completion
-    print("\n2. Waiting for completion...")
-    final_status = wait_for_completion(job_id)
-    print(f"   Final status: {final_status['status']}")
-    
-    # 3. Get result
-    if final_status["status"] == "succeeded":
-        print("\n3. Getting result...")
-        result = get_result(job_id)
-        print(f"   Result: {result['result']}")
-        print(f"   Duration: {result['duration_seconds']:.2f}s")
-    else:
-        print(f"\n3. Job did not succeed: {final_status.get('error', 'Unknown error')}")
-    
-    print("\n" + "=" * 60)
-    print("Example completed successfully!")
-    print("=" * 60)
-
-
-if __name__ == "__main__":
-    main()

examples/async_runs/sse_stream.sh

@@ -1,51 +0,0 @@
-#!/bin/bash
-# CLI Example: SSE Streaming
-#
-# This example demonstrates how to stream job progress via Server-Sent Events.
-#
-# Requirements:
-# - Jobs server running on http://127.0.0.1:8005
-#
-# Usage:
-#     bash sse_stream.sh
-
-set -e
-
-API_URL="${PRAISONAI_BASE_URL:-http://127.0.0.1:8005}"
-
-echo "============================================================"
-echo "PraisonAI SSE Streaming Example"
-echo "============================================================"
-
-# Submit a job
-echo ""
-echo "1. Submitting job..."
-RESPONSE=$(curl -s -X POST "$API_URL/api/v1/runs" \
-    -H "Content-Type: application/json" \
-    -d '{"prompt": "Count from 1 to 5."}')
-
-JOB_ID=$(echo "$RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['job_id'])")
-echo "   Job ID: $JOB_ID"
-
-# Stream progress
-echo ""
-echo "2. Streaming progress (Ctrl+C to stop)..."
-echo "   Connecting to: $API_URL/api/v1/runs/$JOB_ID/stream"
-echo ""
-
-# Use curl to stream SSE events (timeout after 60s)
-curl -s -N --max-time 60 "$API_URL/api/v1/runs/$JOB_ID/stream" | while read -r line; do
-    if [[ "$line" == data:* ]]; then
-        data="${line#data: }"
-        if [ "$data" = "[DONE]" ]; then
-            echo "   Stream completed"
-            break
-        fi
-        echo "   Event: $data"
-    fi
-done
-
-echo ""
-echo "============================================================"
-echo "Streaming example completed!"
-echo "============================================================"

examples/background/basic_background.py

@@ -1,94 +0,0 @@
-#!/usr/bin/env python3
-"""
-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
-4. Handle task completion
-
-Usage:
-    python basic_background.py
-"""
-
-import asyncio
-from praisonaiagents import Agent
-from praisonaiagents.background import BackgroundRunner, BackgroundConfig, TaskStatus
-
-
-async def main():
-    print("=" * 60)
-    print("Agent-Centric 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}")
-    
-    # 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"
-    
-    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}"
-    
-    # Submit tasks via background runner
-    print("\n--- Submitting Background Tasks ---")
-    
-    task1 = await runner.submit(
-        research_task, 
-        args=("AI trends 2025",), 
-        name="research_ai"
-    )
-    print(f"✅ Submitted research task: {task1.id[:8]}")
-    
-    task2 = await runner.submit(
-        analysis_task, 
-        args=("market data",), 
-        name="analyze_market"
-    )
-    print(f"✅ Submitted analysis task: {task2.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)
-    
-    # Final results
-    print("\n--- Results ---")
-    for task in [task1, task2]:
-        status = "✅" if task.status == TaskStatus.COMPLETED else "❌"
-        print(f"  {status} {task.result}")
-    
-    # Cleanup
-    runner.clear_completed()
-    print("\n✅ Cleared completed tasks")
-    
-    print("\n" + "=" * 60)
-    print("Demo Complete!")
-    print("=" * 60)
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

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

@@ -1,146 +0,0 @@
-#!/usr/bin/env python3
-"""
-PraisonAI Benchmark Example
-
-This example demonstrates how to use the benchmark system programmatically
-to compare performance across different execution paths.
-
-Usage:
-    python benchmark_example.py
-    
-Requirements:
-    - OPENAI_API_KEY environment variable set
-    - praisonai package installed
-"""
-
-import os
-import sys
-
-# Ensure the package is importable
-sys.path.insert(0, os.path.join(os.path.dirname(__file__), '../../src/praisonai'))
-
-from praisonai.cli.features.benchmark import BenchmarkHandler, BenchmarkReport
-
-
-def run_quick_comparison():
-    """Run a quick comparison of key execution paths."""
-    print("=" * 60)
-    print("Quick Benchmark Comparison")
-    print("=" * 60)
-    
-    handler = BenchmarkHandler()
-    
-    # Run benchmark with 2 iterations on key paths
-    report = handler.run_full_benchmark(
-        prompt="What is 2+2?",
-        iterations=2,
-        paths=["openai_sdk", "praisonai_agent"],
-        output="verbose"
-    )
-    
-    # Print comparison table
-    print("\n" + handler.create_comparison_table(report))
-    
-    return report
-
-
-def run_full_benchmark():
-    """Run full benchmark suite across all paths."""
-    print("=" * 60)
-    print("Full Benchmark Suite")
-    print("=" * 60)
-    
-    handler = BenchmarkHandler()
-    
-    # Run full benchmark
-    report = handler.run_full_benchmark(
-        prompt="Hi",
-        iterations=3,
-        output="verbose"
-    )
-    
-    # Print full report
-    handler.print_report(report)
-    
-    return report
-
-
-def run_agent_benchmark():
-    """Benchmark PraisonAI Agent specifically."""
-    print("=" * 60)
-    print("Agent Benchmark")
-    print("=" * 60)
-    
-    handler = BenchmarkHandler()
-    
-    # Benchmark agent vs SDK
-    report = handler.run_full_benchmark(
-        prompt="Explain Python in one sentence",
-        iterations=3,
-        paths=["openai_sdk", "praisonai_agent"],
-        output="verbose"
-    )
-    
-    # Show timeline diagrams
-    for name, result in report.results.items():
-        print(f"\n### {name}")
-        print(handler.create_timeline_diagram(result))
-    
-    # Show variance analysis
-    print(handler.create_variance_table(report))
-    
-    return report
-
-
-def save_benchmark_results(report: BenchmarkReport, output_path: str):
-    """Save benchmark results to JSON file."""
-    import json
-    
-    with open(output_path, 'w') as f:
-        json.dump(report.to_dict(), f, indent=2)
-    
-    print(f"\nResults saved to: {output_path}")
-
-
-def main():
-    """Main entry point."""
-    import argparse
-    
-    parser = argparse.ArgumentParser(description="PraisonAI Benchmark Example")
-    parser.add_argument(
-        "--mode",
-        choices=["quick", "full", "agent"],
-        default="quick",
-        help="Benchmark mode: quick (2 paths), full (all paths), agent (agent focus)"
-    )
-    parser.add_argument(
-        "--output",
-        type=str,
-        default=None,
-        help="Output JSON file path"
-    )
-    
-    args = parser.parse_args()
-    
-    # Check for API key
-    if not os.environ.get("OPENAI_API_KEY"):
-        print("Error: OPENAI_API_KEY environment variable not set")
-        sys.exit(1)
-    
-    # Run selected benchmark
-    if args.mode == "quick":
-        report = run_quick_comparison()
-    elif args.mode == "full":
-        report = run_full_benchmark()
-    elif args.mode == "agent":
-        report = run_agent_benchmark()
-    
-    # Save results if requested
-    if args.output:
-        save_benchmark_results(report, args.output)
-    
-    print("\n✅ Benchmark complete!")
-
-
-if __name__ == "__main__":
-    main()

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/assistants_example.py

@@ -1,24 +0,0 @@
-"""
-Assistants Capabilities Example
-
-Demonstrates OpenAI Assistants API using PraisonAI capabilities.
-"""
-
-from praisonai.capabilities import assistant_list
-
-print("=== List Assistants ===")
-try:
-    assistants = assistant_list()
-    print(f"Assistants found: {len(assistants)}")
-    for a in assistants[:5]:  # Show first 5
-        print(f"  - {a.get('name', 'unnamed')}: {a.get('id', 'unknown')}")
-except Exception as e:
-    print(f"Note: {e}")
-
-print("\n=== Assistant Operations ===")
-print("Available functions:")
-print("  assistant_create(name, instructions, model='gpt-4o-mini')")
-print("  assistant_list()")
-
-print("\nSee CLI: praisonai assistants list")
-print("See CLI: praisonai assistants create --name 'My Assistant'")

examples/capabilities/audio_example.py

@@ -1,24 +0,0 @@
-"""
-Audio Capabilities Example
-
-Demonstrates transcription and text-to-speech using PraisonAI capabilities.
-"""
-
-from praisonai.capabilities import transcribe, speech
-
-# Note: Audio transcription requires an audio file
-# This example shows the API structure
-
-print("=== Audio Transcription ===")
-print("To transcribe audio, use:")
-print("  result = transcribe('audio.mp3', model='whisper-1')")
-print("  print(result.text)")
-
-print("\n=== Text-to-Speech ===")
-print("To generate speech, use:")
-print("  audio_data = speech('Hello world', model='tts-1', voice='alloy')")
-print("  # Save to file or play")
-
-print("\nNote: These operations require audio files or generate audio output.")
-print("See CLI: praisonai audio transcribe <file>")
-print("See CLI: praisonai audio speech <text>")

examples/capabilities/batches_example.py

@@ -1,27 +0,0 @@
-"""
-Batches Capabilities Example
-
-Demonstrates batch processing using PraisonAI capabilities.
-"""
-
-from praisonai.capabilities import batch_list
-
-print("=== Batch List ===")
-try:
-    batches = batch_list()
-    print(f"Batches found: {len(batches)}")
-    for b in batches[:5]:  # Show first 5
-        print(f"  - {b.get('id', 'unknown')}: {b.get('status', 'unknown')}")
-except Exception as e:
-    print(f"Note: {e}")
-    print("Batch operations require batch jobs to be created first.")
-
-print("\n=== Batch Operations ===")
-print("Available functions:")
-print("  batch_create(input_file_id, endpoint, completion_window='24h')")
-print("  batch_list()")
-print("  batch_retrieve(batch_id)")
-print("  batch_cancel(batch_id)")
-
-print("\nSee CLI: praisonai batches list")
-print("See CLI: praisonai batches create <input_file_id>")