mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-09 03:39:37 -10:00
Compare commits
3
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
85ae215025 | ||
|
|
056e4f5baa | ||
|
|
8f06d18e5a |
No files matched your search
@@ -1,51 +0,0 @@
|
||||
# PraisonAI Environment Variables
|
||||
# Copy this file to .env and update with your actual values
|
||||
|
||||
# === Required ===
|
||||
OPENAI_API_KEY=sk-... # OpenAI key for LLM calls. Get yours at https://platform.openai.com
|
||||
|
||||
# === Required for Claw web-search tool ===
|
||||
TAVILY_API_KEY=tvly-... # Get yours at https://app.tavily.com (free tier available)
|
||||
|
||||
# === Optional: Claw dashboard security ===
|
||||
PRAISONAI_ALLOW_LOCAL_TOOLS=0 # Set to 1 to enable local shell tools (security risk)
|
||||
|
||||
# === Optional: Alternative LLM Providers ===
|
||||
ANTHROPIC_API_KEY=sk-ant-... # Anthropic Claude models
|
||||
GOOGLE_API_KEY=... # Google Gemini models
|
||||
GROQ_API_KEY=gsk_... # Groq (fast inference)
|
||||
COHERE_API_KEY=... # Cohere models
|
||||
AZURE_OPENAI_API_KEY=... # Azure OpenAI
|
||||
AZURE_OPENAI_ENDPOINT=... # Azure OpenAI endpoint
|
||||
|
||||
# === Optional: Memory backends ===
|
||||
MEM0_API_KEY=... # Mem0 memory service
|
||||
REDIS_URL=redis://localhost:6379 # Redis for state management
|
||||
|
||||
# === Optional: Observability ===
|
||||
LANGFUSE_SECRET_KEY=sk-lf-... # Langfuse tracing
|
||||
LANGFUSE_PUBLIC_KEY=pk-lf-... # Langfuse public key
|
||||
|
||||
# === Optional: Bot platforms ===
|
||||
TELEGRAM_BOT_TOKEN=... # Telegram bot token
|
||||
DISCORD_BOT_TOKEN=... # Discord bot token
|
||||
SLACK_BOT_TOKEN=xoxb-... # Slack bot token
|
||||
SLACK_APP_TOKEN=xapp-... # Slack app token
|
||||
WHATSAPP_ACCESS_TOKEN=... # WhatsApp bot access token
|
||||
WHATSAPP_PHONE_NUMBER_ID=... # WhatsApp phone number ID
|
||||
|
||||
# === Optional: Database ===
|
||||
DATABASE_URL=sqlite:///~/.praison/database.sqlite # Database connection string
|
||||
|
||||
# === Optional: Tool Security ===
|
||||
# ALLOWED_TOOLS=search,send_message # Whitelist specific tools to prevent name collisions
|
||||
# Useful in multi-environment setups with overlapping tool names
|
||||
# Leave unset to use all tools (with collision warnings)
|
||||
# Do NOT set to empty string: that's treated as configuration error
|
||||
# In CI, unknown tool names in the whitelist cause strict startup failure
|
||||
# HERMES_ONLY_TOOLS=search,send_message # (Deprecated) Backward compatibility alias for ALLOWED_TOOLS
|
||||
|
||||
# === Optional: Development ===
|
||||
LOGLEVEL=INFO # Logging level (DEBUG, INFO, WARNING, ERROR)
|
||||
CHAINLIT_AUTH_SECRET=... # Chainlit authentication secret
|
||||
DEBUG=false # Enable debug mode
|
||||
@@ -5,9 +5,6 @@ inputs:
|
||||
anthropic_api_key:
|
||||
description: "Anthropic API key"
|
||||
required: false
|
||||
claude_code_oauth_token:
|
||||
description: "Claude Code OAuth Token for Claude Pro"
|
||||
required: false
|
||||
github_token:
|
||||
description: "GitHub token for Claude to operate with"
|
||||
required: false
|
||||
@@ -70,8 +67,6 @@ runs:
|
||||
|
||||
- name: Install GitHub MCP Server
|
||||
shell: bash
|
||||
env:
|
||||
INPUT_GITHUB_TOKEN: ${{ inputs.github_token }}
|
||||
run: |
|
||||
claude mcp add-json github '{
|
||||
"command": "docker",
|
||||
@@ -84,7 +79,7 @@ runs:
|
||||
"ghcr.io/github/github-mcp-server:sha-ff3036d"
|
||||
],
|
||||
"env": {
|
||||
"GITHUB_PERSONAL_ACCESS_TOKEN": "'"${INPUT_GITHUB_TOKEN}"'"
|
||||
"GITHUB_PERSONAL_ACCESS_TOKEN": "${{ inputs.github_token }}"
|
||||
}
|
||||
}'
|
||||
|
||||
@@ -209,45 +204,14 @@ runs:
|
||||
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).
|
||||
- Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
|
||||
- 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. PRs with >100 lines added to agent.py require manual review (merge gate will not auto-merge).
|
||||
- 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.
|
||||
|
||||
Please analyze the request and provide helpful assistance. You have access to repository tools and can help with:
|
||||
- Code analysis and implementation
|
||||
- GitHub workflows and automation
|
||||
- Pull request reviews and feedback
|
||||
- Issue resolution and bug fixes
|
||||
- Documentation updates
|
||||
- Testing and deployment
|
||||
|
||||
Respond naturally and helpfully to the user's request using the available tools.
|
||||
EOF
|
||||
|
||||
@@ -257,74 +221,36 @@ runs:
|
||||
- name: Run Claude Code
|
||||
if: env.SKIP_EXECUTION != 'true'
|
||||
shell: bash
|
||||
env:
|
||||
ANTHROPIC_API_KEY: ${{ inputs.anthropic_api_key }}
|
||||
CLAUDE_CODE_OAUTH_TOKEN: ${{ inputs.claude_code_oauth_token }}
|
||||
GITHUB_TOKEN: ${{ inputs.github_token }}
|
||||
INPUT_MODEL: ${{ inputs.model }}
|
||||
INPUT_MAX_TURNS: ${{ inputs.max_turns }}
|
||||
INPUT_ALLOWED_TOOLS: ${{ inputs.allowed_tools }}
|
||||
INPUT_DISALLOWED_TOOLS: ${{ inputs.disallowed_tools }}
|
||||
INPUT_TIMEOUT_MINUTES: ${{ inputs.timeout_minutes }}
|
||||
CLAUDE_CODE_SUBAGENT_MODEL: inherit
|
||||
ANTHROPIC_DEFAULT_SONNET_MODEL: claude-sonnet-4-6
|
||||
run: |
|
||||
echo "🚀 Running Claude Code with GitHub context..."
|
||||
|
||||
# Build command arguments
|
||||
CMD_ARGS=("-p" "--verbose" "--output-format" "stream-json")
|
||||
|
||||
if [[ -n "$INPUT_MODEL" ]]; then
|
||||
CMD_ARGS+=("--model" "$INPUT_MODEL")
|
||||
export ANTHROPIC_MODEL="$INPUT_MODEL"
|
||||
fi
|
||||
|
||||
# Add max turns if specified
|
||||
if [[ -n "$INPUT_MAX_TURNS" ]]; then
|
||||
CMD_ARGS+=("--max-turns" "$INPUT_MAX_TURNS")
|
||||
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 "$INPUT_ALLOWED_TOOLS" ]]; then
|
||||
TOOLS="$TOOLS,$INPUT_ALLOWED_TOOLS"
|
||||
fi
|
||||
|
||||
# Remove any explicitly disallowed tools from the effective allow-list so
|
||||
# the read-only contract is enforced deterministically (no reliance on CLI
|
||||
# precedence between --allowedTools and --disallowedTools).
|
||||
if [[ -n "$INPUT_DISALLOWED_TOOLS" ]]; then
|
||||
DISALLOWED_CSV=$(echo "$INPUT_DISALLOWED_TOOLS" | tr ',\n' ' ' | xargs)
|
||||
FILTERED=""
|
||||
IFS=',' read -ra TOOL_ARR <<< "$TOOLS"
|
||||
for tool in "${TOOL_ARR[@]}"; do
|
||||
tool=$(echo "$tool" | xargs)
|
||||
[[ -z "$tool" ]] && continue
|
||||
skip="false"
|
||||
for bad in $DISALLOWED_CSV; do
|
||||
if [[ "$tool" == "$bad" ]]; then
|
||||
skip="true"
|
||||
break
|
||||
fi
|
||||
done
|
||||
if [[ "$skip" == "false" ]]; then
|
||||
FILTERED="${FILTERED:+$FILTERED,}$tool"
|
||||
fi
|
||||
done
|
||||
TOOLS="$FILTERED"
|
||||
if [[ -n "${{ inputs.allowed_tools }}" ]]; then
|
||||
TOOLS="$TOOLS,${{ inputs.allowed_tools }}"
|
||||
fi
|
||||
CMD_ARGS+=("--allowedTools" "$TOOLS")
|
||||
|
||||
# Add disallowed tools
|
||||
if [[ -n "$INPUT_DISALLOWED_TOOLS" ]]; then
|
||||
DISALLOWED_FLAG=$(echo "$INPUT_DISALLOWED_TOOLS" | tr '\n' ',' | sed 's/,*$//')
|
||||
CMD_ARGS+=("--disallowedTools" "$DISALLOWED_FLAG")
|
||||
if [[ -n "${{ inputs.disallowed_tools }}" ]]; then
|
||||
CMD_ARGS+=("--disallowedTools" "${{ inputs.disallowed_tools }}")
|
||||
fi
|
||||
|
||||
echo "📝 Executing Claude Code with prompt from file..."
|
||||
|
||||
# Execute Claude Code with timeout, using stdin for the prompt
|
||||
TIMEOUT_SECONDS=$(($INPUT_TIMEOUT_MINUTES * 60))
|
||||
timeout $TIMEOUT_SECONDS claude "${CMD_ARGS[@]}" < "$PROMPT_FILE"
|
||||
TIMEOUT_SECONDS=$((${{ inputs.timeout_minutes }} * 60))
|
||||
timeout $TIMEOUT_SECONDS claude "${CMD_ARGS[@]}" < "${{ env.PROMPT_FILE }}"
|
||||
|
||||
echo "✅ Claude Code execution completed"
|
||||
echo "✅ Claude Code execution completed"
|
||||
env:
|
||||
ANTHROPIC_API_KEY: ${{ inputs.anthropic_api_key }}
|
||||
GITHUB_TOKEN: ${{ inputs.github_token }}
|
||||
@@ -6,8 +6,8 @@ inputs:
|
||||
description: "Timeout in minutes for execution"
|
||||
required: false
|
||||
default: "5"
|
||||
claude_code_oauth_token:
|
||||
description: "Claude Code OAuth token for Pro subscription access"
|
||||
anthropic_api_key:
|
||||
description: "Anthropic API key"
|
||||
required: true
|
||||
github_token:
|
||||
description: "GitHub token with repo and issues permissions"
|
||||
@@ -19,11 +19,9 @@ runs:
|
||||
- name: Checkout repository code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Create prompt
|
||||
id: generate_prompt
|
||||
- name: Create prompt file
|
||||
shell: bash
|
||||
run: |
|
||||
mkdir -p /tmp/claude-prompts
|
||||
@@ -77,16 +75,13 @@ runs:
|
||||
- Your ONLY action should be to apply labels using mcp__github__update_issue
|
||||
- It's okay to not add any labels if none are clearly applicable
|
||||
EOF
|
||||
|
||||
echo "PROMPT<<DELIMITER" >> $GITHUB_OUTPUT
|
||||
cat /tmp/claude-prompts/claude-issue-triage-prompt.txt >> $GITHUB_OUTPUT
|
||||
echo "DELIMITER" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Run Claude Code
|
||||
uses: ./.github/actions/claude-code-action
|
||||
with:
|
||||
direct_prompt: ${{ steps.generate_prompt.outputs.PROMPT }}
|
||||
prompt_file: /tmp/claude-prompts/claude-issue-triage-prompt.txt
|
||||
allowed_tools: "Bash(gh label list),mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue,mcp__github__search_issues,mcp__github__list_issues"
|
||||
install_github_mcp: "true"
|
||||
timeout_minutes: ${{ inputs.timeout_minutes }}
|
||||
claude_code_oauth_token: ${{ inputs.claude_code_oauth_token }}
|
||||
anthropic_api_key: ${{ inputs.anthropic_api_key }}
|
||||
github_token: ${{ inputs.github_token }}
|
||||
@@ -22,12 +22,6 @@ inputs:
|
||||
To enable observability with Google Cloud, include:
|
||||
{"telemetry": {"enabled": true, "target": "gcp"}, "sandbox": false}
|
||||
required: false
|
||||
model:
|
||||
description: |
|
||||
The Gemini model to use. Options: gemini-2.5-pro, gemini-2.5-flash, gemini-2.5-flash-lite.
|
||||
Use flash-lite for highest free-tier quota (1,000 RPD).
|
||||
required: false
|
||||
default: 'gemini-3.1-flash-lite-preview'
|
||||
version:
|
||||
description: |
|
||||
The version of @google/gemini-cli to execute.
|
||||
@@ -57,15 +51,13 @@ runs:
|
||||
|
||||
- name: Install Gemini CLI
|
||||
id: install
|
||||
env:
|
||||
INPUT_VERSION: ${{ inputs.version }}
|
||||
run: |
|
||||
if [[ "$INPUT_VERSION" == "latest" || "$INPUT_VERSION" =~ ^[0-9]+\.[0-9]+\.[0-9]+(-[a-zA-Z0-9\.-]+)?(\+[a-zA-Z0-9\.-]+)?$ ]]; then
|
||||
echo "Installing Gemini CLI from npm: @google/gemini-cli@$INPUT_VERSION"
|
||||
npm install -g @google/gemini-cli@$INPUT_VERSION
|
||||
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#$INPUT_VERSION"
|
||||
npm install -g github:google-gemini/gemini-cli#$INPUT_VERSION
|
||||
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
|
||||
@@ -78,11 +70,10 @@ runs:
|
||||
|
||||
- name: Run Gemini CLI
|
||||
run: |
|
||||
gemini --yolo --model "$GEMINI_MODEL" --prompt "$PROMPT"
|
||||
gemini --yolo --prompt "$PROMPT"
|
||||
shell: bash
|
||||
env:
|
||||
GEMINI_API_KEY: ${{ inputs.GEMINI_API_KEY }}
|
||||
GEMINI_MODEL: ${{ inputs.model }}
|
||||
PROMPT: ${{ inputs.prompt }}
|
||||
|
||||
branding:
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 6.8 MiB |
Binary file not shown.
|
Before Width: | Height: | Size: 285 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 270 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 2.2 MiB |
@@ -1,72 +0,0 @@
|
||||
framework: "praisonai"
|
||||
process: workflow
|
||||
topic: "Autonomous Issue Resolution"
|
||||
planning: false
|
||||
|
||||
roles:
|
||||
issue_analyst:
|
||||
role: "GitHub Issue Analyst"
|
||||
goal: "Read the GitHub issue, understand the required changes, and map the problem to the local codebase"
|
||||
backstory: "You are an expert software analyst who reads bug reports and feature requests. You excel at taking a problem description and finding exactly which files in the codebase need to be modified. Your primary job is discovery and planning."
|
||||
tools:
|
||||
- "execute_command"
|
||||
|
||||
software_engineer:
|
||||
role: "Autonomous Software Engineer"
|
||||
goal: "Implement required code changes on a branch, run tests, commit, and push"
|
||||
backstory: "You are a senior software engineer. You always branch first, implement changes using shell commands, verify with git diff, run tests, then commit and push. You never create a Pull Request unless the issue body explicitly requests one."
|
||||
tools:
|
||||
- "execute_command"
|
||||
- "github_create_branch"
|
||||
- "github_commit_and_push"
|
||||
- "github_create_pull_request"
|
||||
|
||||
steps:
|
||||
- name: Analyze Issue
|
||||
agent: issue_analyst
|
||||
action: >
|
||||
Thoroughly analyze the issue and the repository. Follow these steps in order.
|
||||
|
||||
First, set up git identity: execute_command 'git config user.name PraisonAI' then
|
||||
execute_command 'git config user.email [email protected]'. Do NOT pass cwd.
|
||||
|
||||
Second, read the issue: execute_command 'cat .github/triage-context.md'. Do NOT pass cwd.
|
||||
|
||||
Third, read architecture guidelines: execute_command 'cat src/praisonai-agents/AGENTS.md'.
|
||||
|
||||
Fourth, decide if this issue requires code changes:
|
||||
- If YES: identify the exact files and lines that must change. Output a concrete file-level plan.
|
||||
- If NO (question, discussion, duplicate, invalid): say so clearly. No code changes needed.
|
||||
|
||||
Output: routing decision (Core SDK / Wrapper / Tools / No-change), validation result, and exact files/lines to change.
|
||||
expected_output: A decision on whether code changes are needed, and if so a concrete file-level plan.
|
||||
|
||||
- name: Implement Fix
|
||||
agent: software_engineer
|
||||
action: >
|
||||
You are working inside the repository at /Users/praison/praisonai-package.
|
||||
Do NOT ask for confirmation. Do NOT use placeholder paths. Act immediately.
|
||||
|
||||
Read the analyst's output first. If the analyst said NO code changes are needed, stop here and
|
||||
output a brief explanation — do NOT create a branch or PR.
|
||||
|
||||
If code changes ARE needed, follow these steps:
|
||||
|
||||
Step 1 — Create branch: github_create_branch with branch_name=praisonai/issue-{{ISSUE_NUMBER}}.
|
||||
|
||||
Step 2 — Implement changes using execute_command (no cwd argument).
|
||||
To insert a line: python3 -c "lines=open('FILE').readlines(); lines.insert(N,'LINE\n'); open('FILE','w').writelines(lines)"
|
||||
To replace text: python3 -c "t=open('FILE').read(); open('FILE','w').write(t.replace('OLD','NEW'))"
|
||||
After each edit verify: execute_command 'git diff'
|
||||
|
||||
Step 3 — Run tests: execute_command 'python3 -m pytest src/praisonai-agents/tests/ -x -q --timeout=30 -p no:warnings'
|
||||
|
||||
Step 4 — Commit and push: github_commit_and_push with a descriptive commit_message.
|
||||
|
||||
Step 5 — Check if the issue body EXPLICITLY contains the phrase "create pull request" or "create PR"
|
||||
(case-insensitive). ONLY in that case create a PR using github_create_pull_request with
|
||||
title='fix: resolve issue #{{ISSUE_NUMBER}}',
|
||||
body='Fixes #{{ISSUE_NUMBER}}.\n\nAutonomously resolved by PraisonAI.',
|
||||
head_branch=praisonai/issue-{{ISSUE_NUMBER}}, base_branch=main.
|
||||
Otherwise do NOT create a PR — just confirm the branch was pushed successfully.
|
||||
expected_output: Either "No code changes needed", or "Branch pushed, no PR requested", or "Branch pushed and PR created at URL".
|
||||
@@ -1,116 +0,0 @@
|
||||
framework: "praisonai"
|
||||
topic: "Pull Request Code Review Analysis"
|
||||
|
||||
roles:
|
||||
security_reviewer:
|
||||
role: "Security Code Reviewer"
|
||||
goal: "Identify security vulnerabilities, authentication issues, input validation problems, and unsafe code practices in the PR changes"
|
||||
backstory: "You are a cybersecurity expert specializing in code analysis. You have extensive experience in identifying common security flaws like injection attacks, authentication bypasses, exposed secrets, and unsafe data handling patterns."
|
||||
tools:
|
||||
- "execute_command"
|
||||
|
||||
performance_reviewer:
|
||||
role: "Performance Code Reviewer"
|
||||
goal: "Analyze code changes for performance implications, identify bottlenecks, inefficient algorithms, and resource usage issues"
|
||||
backstory: "You are a performance optimization specialist with deep knowledge of algorithm efficiency, memory management, and system performance. You excel at spotting code that could cause performance degradation."
|
||||
tools:
|
||||
- "execute_command"
|
||||
|
||||
maintainability_reviewer:
|
||||
role: "Code Quality & Maintainability Reviewer"
|
||||
goal: "Evaluate code structure, readability, documentation, naming conventions, and adherence to best practices"
|
||||
backstory: "You are a software engineering expert focused on code quality and maintainability. You ensure code follows established patterns, is well-documented, and will be easy for future developers to understand and modify."
|
||||
tools:
|
||||
- "execute_command"
|
||||
|
||||
lead_reviewer:
|
||||
role: "Lead Technical Reviewer"
|
||||
goal: "Synthesize all review feedback, make final recommendations, and post comprehensive review comments to the GitHub PR"
|
||||
backstory: "You are a senior technical lead responsible for final review decisions. You coordinate input from security, performance, and maintainability reviewers to provide balanced, actionable feedback to the development team."
|
||||
tools:
|
||||
- "execute_command"
|
||||
|
||||
steps:
|
||||
- name: security_analysis
|
||||
agent: security_reviewer
|
||||
action: |
|
||||
Analyze the PR diff for security issues:
|
||||
1. Extract PR details: `echo "$PR_DATA"`
|
||||
2. Get changed files: `echo "$CHANGED_FILES"`
|
||||
3. Review full diff: `gh pr diff ${PR_NUMBER}`
|
||||
4. Look for:
|
||||
- Hardcoded secrets, API keys, passwords
|
||||
- SQL injection vulnerabilities
|
||||
- XSS vulnerabilities
|
||||
- Authentication/authorization bypasses
|
||||
- Unsafe file operations
|
||||
- Command injection risks
|
||||
- Missing input validation
|
||||
- Exposed sensitive data
|
||||
5. Document findings with file paths and line numbers
|
||||
expected_output: "Detailed security analysis report with specific vulnerabilities found, severity levels, and remediation suggestions"
|
||||
|
||||
- name: performance_analysis
|
||||
agent: performance_reviewer
|
||||
action: |
|
||||
Analyze the PR diff for performance issues:
|
||||
1. Review algorithm complexity changes
|
||||
2. Check for inefficient database queries
|
||||
3. Identify memory leaks or excessive allocations
|
||||
4. Look for hot-path regressions
|
||||
5. Check for blocking I/O operations
|
||||
6. Analyze module-level imports that could slow startup
|
||||
7. Review caching implementations
|
||||
8. Check for recursive operations without termination
|
||||
9. Document performance concerns with impact estimates
|
||||
expected_output: "Performance analysis report highlighting bottlenecks, efficiency concerns, and optimization recommendations"
|
||||
|
||||
- name: maintainability_analysis
|
||||
agent: maintainability_reviewer
|
||||
action: |
|
||||
Analyze the PR diff for code quality and maintainability:
|
||||
1. Check naming conventions consistency
|
||||
2. Evaluate code structure and organization
|
||||
3. Review documentation completeness
|
||||
4. Check for DRY violations
|
||||
5. Analyze error handling patterns
|
||||
6. Review test coverage for changes
|
||||
7. Check adherence to repository coding standards
|
||||
8. Evaluate API design consistency
|
||||
9. Look for technical debt introduction
|
||||
expected_output: "Code quality analysis with specific recommendations for improving maintainability and readability"
|
||||
|
||||
- name: final_review
|
||||
agent: lead_reviewer
|
||||
action: |
|
||||
Synthesize all reviews and post final comprehensive feedback:
|
||||
1. Collect input from security, performance, and maintainability reviews
|
||||
2. Prioritize findings by severity (Critical, High, Medium, Low)
|
||||
3. Create structured review comment using this format:
|
||||
|
||||
## 📋 Review Summary
|
||||
[2-3 sentence overview and assessment]
|
||||
|
||||
## 🔍 General Feedback
|
||||
[Overall patterns and observations]
|
||||
|
||||
## 🎯 Specific Feedback
|
||||
### 🔴 Critical (if any)
|
||||
[Security vulnerabilities, breaking changes, major bugs]
|
||||
|
||||
### 🟡 High (if any)
|
||||
[Performance issues, design flaws, significant bugs]
|
||||
|
||||
### 🟢 Medium (if any)
|
||||
[Code quality improvements, minor optimizations]
|
||||
|
||||
### 🔵 Low (if any)
|
||||
[Documentation, naming suggestions, minor refactoring]
|
||||
|
||||
## ✅ Highlights (if any)
|
||||
[Positive aspects worth mentioning]
|
||||
|
||||
4. Post comprehensive review: `echo "[REVIEW_CONTENT]" | gh pr comment ${PR_NUMBER} -F -`
|
||||
5. If critical issues found, suggest not merging until resolved
|
||||
expected_output: "Final review comment posted to GitHub PR with comprehensive analysis from all reviewers"
|
||||
dependencies: [security_analysis, performance_analysis, maintainability_analysis]
|
||||
@@ -1,34 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
const chain = require('./bot-pr-review-chain.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
assert('chainKickPosted requires both markers', chain.chainKickPosted([
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
{ user: { login: 'MervinPraison' }, body: '/review' },
|
||||
]));
|
||||
assert('chainKickPosted false with only coderabbit', !chain.chainKickPosted([
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
]));
|
||||
assert('coderabbitKickPosted detects coderabbit', chain.coderabbitKickPosted([
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
]));
|
||||
assert('qodoKickPosted detects qodo', chain.qodoKickPosted([
|
||||
{ user: { login: 'github-actions[bot]' }, body: '/review' },
|
||||
]));
|
||||
assert('ignores coderabbit bot comment', !chain.coderabbitKickPosted([
|
||||
{ user: { login: 'coderabbitai[bot]' }, body: '@coderabbitai review' },
|
||||
]));
|
||||
assert('bot PR author match', chain.isBotOpenedPr({ user: { login: 'praisonai-triage-agent[bot]' } }));
|
||||
assert('generic bot type match', chain.isBotOpenedPr({ user: { login: 'my-bot', type: 'Bot' } }));
|
||||
assert('human author excluded', !chain.isBotOpenedPr({ user: { login: 'MervinPraison', type: 'User' } }));
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,153 +0,0 @@
|
||||
/**
|
||||
* Idempotent CodeRabbit/Qodo kick for bot-opened PRs.
|
||||
* @see .github/workflows/auto-pr-comment.yml, claude.yml, bot-pr-recovery.yml
|
||||
*/
|
||||
|
||||
const KICK_AUTHORS = new Set(['MervinPraison', 'github-actions[bot]']);
|
||||
const BOT_PR_AUTHORS = new Set(['praisonai-triage-agent[bot]', 'github-actions[bot]']);
|
||||
|
||||
async function listAllComments(github, owner, repo, issueNumber) {
|
||||
if (typeof github.paginate === 'function') {
|
||||
return github.paginate(github.rest.issues.listComments, {
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
const { data } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return data;
|
||||
}
|
||||
|
||||
function kickAuthored(comment, marker) {
|
||||
return (
|
||||
KICK_AUTHORS.has(comment.user?.login) &&
|
||||
(comment.body || '').includes(marker)
|
||||
);
|
||||
}
|
||||
|
||||
function coderabbitKickPosted(comments) {
|
||||
return comments.some((c) => kickAuthored(c, '@coderabbitai review'));
|
||||
}
|
||||
|
||||
function qodoKickPosted(comments) {
|
||||
return comments.some((c) => kickAuthored(c, '/review'));
|
||||
}
|
||||
|
||||
function chainKickPosted(comments) {
|
||||
return coderabbitKickPosted(comments) && qodoKickPosted(comments);
|
||||
}
|
||||
|
||||
function isBotOpenedPr(pr) {
|
||||
if (BOT_PR_AUTHORS.has(pr.user?.login)) return true;
|
||||
return pr.user?.type === 'Bot';
|
||||
}
|
||||
|
||||
async function kickReviewChain(github, owner, repo, prNumber, core, preFetchedComments = null) {
|
||||
const comments = preFetchedComments || await listAllComments(github, owner, repo, prNumber);
|
||||
const needCoderabbit = !coderabbitKickPosted(comments);
|
||||
const needQodo = !qodoKickPosted(comments);
|
||||
|
||||
if (!needCoderabbit && !needQodo) {
|
||||
core?.info?.(`Review chain already kicked on PR #${prNumber}`);
|
||||
return { kicked: false, reason: 'already_kicked' };
|
||||
}
|
||||
|
||||
if (needCoderabbit) {
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: '@coderabbitai review',
|
||||
});
|
||||
}
|
||||
if (needQodo) {
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: '/review',
|
||||
});
|
||||
}
|
||||
core?.info?.(`Kicked review chain for PR #${prNumber} (coderabbit=${needCoderabbit}, qodo=${needQodo})`);
|
||||
return { kicked: true, coderabbit: needCoderabbit, qodo: needQodo };
|
||||
}
|
||||
|
||||
async function findOpenPrForIssue(github, owner, repo, issueNumber) {
|
||||
const prefix = `claude/issue-${issueNumber}-`;
|
||||
const { data: prs } = await github.rest.pulls.list({
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
sort: 'created',
|
||||
direction: 'desc',
|
||||
per_page: 30,
|
||||
});
|
||||
return (
|
||||
prs.find(
|
||||
(p) => (p.head?.ref || '').startsWith(prefix) && isBotOpenedPr(p)
|
||||
) || null
|
||||
);
|
||||
}
|
||||
|
||||
async function kickReviewChainForIssue(github, owner, repo, issueNumber, core) {
|
||||
const pr = await findOpenPrForIssue(github, owner, repo, issueNumber);
|
||||
if (!pr) {
|
||||
core?.info?.(`No open PR for issue #${issueNumber}, skipping review kick`);
|
||||
return { kicked: false, reason: 'no_pr' };
|
||||
}
|
||||
const result = await kickReviewChain(github, owner, repo, pr.number, core);
|
||||
return { ...result, prNumber: pr.number };
|
||||
}
|
||||
|
||||
async function recoverStalledBotPrs(github, owner, repo, options, core) {
|
||||
const { prNumber = null, minAgeMs = 10 * 60 * 1000, maxRecover = 10 } = options || {};
|
||||
let prs;
|
||||
if (prNumber) {
|
||||
const { data } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
prs = [data];
|
||||
} else if (typeof github.paginate === 'function') {
|
||||
prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
const { data } = await github.rest.pulls.list({ owner, repo, state: 'open', per_page: 100 });
|
||||
prs = data;
|
||||
}
|
||||
|
||||
const cutoff = Date.now() - minAgeMs;
|
||||
let recovered = 0;
|
||||
for (const pr of prs) {
|
||||
if (recovered >= maxRecover) break;
|
||||
if (!isBotOpenedPr(pr)) continue;
|
||||
if (!prNumber && new Date(pr.created_at).getTime() > cutoff) continue;
|
||||
const comments = await listAllComments(github, owner, repo, pr.number);
|
||||
if (chainKickPosted(comments)) continue;
|
||||
await kickReviewChain(github, owner, repo, pr.number, core, comments);
|
||||
recovered += 1;
|
||||
}
|
||||
core?.info?.(`Recovery complete (${recovered} PR(s) kicked)`);
|
||||
return recovered;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
KICK_AUTHORS,
|
||||
BOT_PR_AUTHORS,
|
||||
listAllComments,
|
||||
chainKickPosted,
|
||||
coderabbitKickPosted,
|
||||
qodoKickPosted,
|
||||
isBotOpenedPr,
|
||||
kickReviewChain,
|
||||
findOpenPrForIssue,
|
||||
kickReviewChainForIssue,
|
||||
recoverStalledBotPrs,
|
||||
};
|
||||
@@ -1,126 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* Local self-test for merge-gate.js heuristics (no GitHub API).
|
||||
* Run: node .github/scripts/merge-gate-selftest.js
|
||||
*/
|
||||
const mg = require('./merge-gate.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
// Stale FINAL: push after FINAL, no @claude since head
|
||||
const finals = [
|
||||
{ user: { login: 'github-actions[bot]' }, body: '@claude FINAL architecture reviewer', created_at: '2026-06-12T08:00:00Z' },
|
||||
];
|
||||
assert('stale when head after final', mg.isStaleFinalAfterPush(finals, '2026-06-12T09:00:00Z'));
|
||||
|
||||
const withRecovery = [
|
||||
...finals,
|
||||
{ user: { login: 'github-actions[bot]' }, body: '@claude FINAL architecture reviewer', created_at: '2026-06-12T09:30:00Z' },
|
||||
];
|
||||
assert('not stale when @claude after head', !mg.isStaleFinalAfterPush(withRecovery, '2026-06-12T09:00:00Z'));
|
||||
|
||||
// Bot CHANGES_REQUESTED then APPROVE
|
||||
const reviews = [
|
||||
{ user: { login: 'coderabbit[bot]', type: 'Bot' }, state: 'CHANGES_REQUESTED', submitted_at: '2026-06-12T08:00:00Z' },
|
||||
{ user: { login: 'coderabbit[bot]', type: 'Bot' }, state: 'APPROVED', submitted_at: '2026-06-12T09:00:00Z' },
|
||||
];
|
||||
assert('bot approve clears CR', !mg.hasAnyChangesRequested(reviews));
|
||||
assert('human CR blocks', mg.hasAnyChangesRequested([
|
||||
{ user: { login: 'MervinPraison', type: 'User' }, state: 'CHANGES_REQUESTED', submitted_at: '2026-06-12T09:00:00Z' },
|
||||
]));
|
||||
|
||||
// Verdict after HEAD
|
||||
const verdictComments = [
|
||||
{ body: 'MERGE_GATE_VERDICT: APPROVE', created_at: '2026-06-12T08:00:00Z' },
|
||||
];
|
||||
assert('verdict before head rejected', mg.findMergeGateVerdict(verdictComments, null, '2026-06-12T09:00:00Z') === null);
|
||||
assert('verdict after head accepted', mg.findMergeGateVerdict(
|
||||
[{ body: 'MERGE_GATE_VERDICT: APPROVE', created_at: '2026-06-12T10:00:00Z' }],
|
||||
null,
|
||||
'2026-06-12T09:00:00Z'
|
||||
) === 'APPROVE');
|
||||
|
||||
const noise = [{ user: { login: 'MervinPraison' }, body: '**Merge gate scan** — wait for `@claude`', created_at: new Date().toISOString() }];
|
||||
assert('diagnostic comment not a trigger', !mg.hasRecentClaudeTrigger(noise, 35));
|
||||
|
||||
// Sensitive + secrets
|
||||
assert('workflow path sensitive', mg.sensitivePathReasons([{ filename: '.github/workflows/foo.yml' }]).length === 1);
|
||||
assert('ci-only label exempts workflows', mg.sensitivePathReasons(
|
||||
[{ filename: '.github/workflows/foo.yml' }],
|
||||
[mg.WORKFLOW_ONLY_LABEL]
|
||||
).length === 0);
|
||||
assert('ci-only label not exempt mixed changes', mg.sensitivePathReasons(
|
||||
[{ filename: '.github/workflows/foo.yml' }, { filename: 'src/foo.py' }],
|
||||
[mg.WORKFLOW_ONLY_LABEL]
|
||||
).length === 1);
|
||||
assert('secret in patch', mg.secretScanReasons([{ filename: 'x.py', patch: '+key = "ghp_abcdefghijklmnopqrstuvwxyz1234567890"' }]).length === 1);
|
||||
|
||||
// Claude run scoping — other PR branches must not block
|
||||
assert('other branch claude does not block', !mg.hasBlockingClaudeRunForPr(
|
||||
[{ event: 'issue_comment', head_branch: 'other-branch' }],
|
||||
'my-branch'
|
||||
));
|
||||
assert('same branch claude blocks', mg.hasBlockingClaudeRunForPr(
|
||||
[{ event: 'issue_comment', head_branch: 'my-branch' }],
|
||||
'my-branch'
|
||||
));
|
||||
assert('issues event never blocks', !mg.hasBlockingClaudeRunForPr(
|
||||
[{ event: 'issues', head_branch: 'my-branch' }],
|
||||
'my-branch'
|
||||
));
|
||||
|
||||
// Conflict rebase clears after bot completion + FINAL on HEAD
|
||||
const conflictTrigger = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude this PR has merge conflicts with main. Please rebase',
|
||||
created_at: '2026-06-26T10:30:38Z',
|
||||
};
|
||||
const rebaseDone = {
|
||||
user: { login: 'praisonai-triage-agent[bot]' },
|
||||
body: 'Rebase complete — PR #2308 onto latest main',
|
||||
created_at: '2026-06-26T10:30:55Z',
|
||||
};
|
||||
const finalAfterRebase = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: '2026-06-26T10:39:43Z',
|
||||
};
|
||||
const headAfterRebase = '2026-06-26T10:39:25Z';
|
||||
const rebaseComments = [conflictTrigger, rebaseDone, finalAfterRebase];
|
||||
assert('conflict blocks before rebase done', mg.hasRecentConflictComment([conflictTrigger], headAfterRebase));
|
||||
assert('conflict clears after rebase + FINAL on HEAD', !mg.hasRecentConflictComment(rebaseComments, headAfterRebase));
|
||||
assert('conflict still blocks without FINAL on HEAD', mg.hasRecentConflictComment(
|
||||
[conflictTrigger, rebaseDone],
|
||||
headAfterRebase
|
||||
));
|
||||
|
||||
// Tests heuristic
|
||||
assert('sdk without tests', mg.missingTestsReason([{ filename: 'src/praisonai-agents/a/b.py', additions: 3 }]) !== null);
|
||||
assert('sdk with tests ok', mg.missingTestsReason([
|
||||
{ filename: 'src/praisonai-agents/a/b.py', additions: 3 },
|
||||
{ filename: 'src/praisonai-agents/tests/test_x.py', additions: 10 },
|
||||
]) === null);
|
||||
|
||||
// PR size
|
||||
assert('large PR blocked', mg.prSizeReasons([{ additions: 900 }]).length > 0);
|
||||
|
||||
assert('internal PR link accepted', mg.isInternalPullRequestLink(
|
||||
{ base: { repo: { full_name: 'MervinPraison/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
));
|
||||
assert('fork sync PR link rejected', !mg.isInternalPullRequestLink(
|
||||
{ number: 21, base: { repo: { full_name: 'Milkmange/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
));
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,747 +0,0 @@
|
||||
/**
|
||||
* Shared merge-gate helpers for claude-merge-gate.yml
|
||||
* @see .github/workflows/claude-merge-gate.yml
|
||||
*/
|
||||
|
||||
const CLAUDE_TRIGGER_LOGINS = ['MervinPraison', 'github-actions[bot]'];
|
||||
const AUTO_ACTORS = CLAUDE_TRIGGER_LOGINS;
|
||||
const CONFLICT_COOLDOWN_MS = 12 * 60 * 60 * 1000;
|
||||
const CLAUDE_ACTIVE_MS = 35 * 60 * 1000;
|
||||
const POST_PUSH_BUFFER_MS = 5 * 60 * 1000;
|
||||
const ALLOWED_MERGE_STATES = new Set(['CLEAN', 'UNSTABLE']);
|
||||
const AGENT_PY_MAX_AUTO_LINES = 100;
|
||||
const PR_MAX_AUTO_ADDITIONS = 800;
|
||||
const PR_MAX_AUTO_FILES = 30;
|
||||
const MANUAL_ONLY_LABELS = new Set(['security', 'breaking-change', 'needs-manual-review', 'release']);
|
||||
const WORKFLOW_ONLY_LABEL = 'merge-gate-ci-only';
|
||||
const CI_ONLY_PATH_PREFIXES = ['.github/workflows/', '.github/actions/', '.github/scripts/merge-gate'];
|
||||
const SDK_PATH_PREFIXES = ['src/praisonai-agents/', 'src/praisonai/'];
|
||||
const SENSITIVE_PATH_PATTERNS = [
|
||||
/^\.github\/workflows\//,
|
||||
/praisonaiagents\/(auth|approval|policy|sandbox)\//,
|
||||
/^src\/praisonai-agents\/pyproject\.toml$/,
|
||||
/^src\/praisonai\/pyproject\.toml$/,
|
||||
/\.env(\.|$)/,
|
||||
/credentials\.json$/i,
|
||||
];
|
||||
const REQUIRED_SDK_CHECK_PATTERNS = [/test/i, /smoke/i, /core/i, /python package/i, /comprehensive/i, /optimized/i];
|
||||
const SECRET_PATTERNS = [
|
||||
/sk-[a-zA-Z0-9]{20,}/,
|
||||
/AKIA[0-9A-Z]{16}/,
|
||||
/ghp_[a-zA-Z0-9]{36,}/,
|
||||
/github_pat_/,
|
||||
/Bearer eyJ[a-zA-Z0-9_-]+\.[a-zA-Z0-9_-]+/,
|
||||
/-----BEGIN (RSA |EC |OPENSSH )?PRIVATE KEY-----/,
|
||||
];
|
||||
const BLOCK_LABELS = new Set([
|
||||
'claude-conflict-pending',
|
||||
'claude-merge-gate-active',
|
||||
'no-auto-merge',
|
||||
'auto-merged-by-gate',
|
||||
]);
|
||||
const BOT_REVIEWER_PATTERNS = [
|
||||
'coderabbit',
|
||||
'qodo',
|
||||
'gemini',
|
||||
'copilot',
|
||||
'greptile',
|
||||
];
|
||||
|
||||
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
|
||||
|
||||
function isFinalClaudeTriggerComment(c) {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
if (!body.includes('@claude')) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
}
|
||||
|
||||
function isClaudeTriggerNoise(c) {
|
||||
const body = c.body || '';
|
||||
if (body.includes('Merge gate scan')) return true;
|
||||
if (body.includes('MERGE_GATE_VERDICT')) return true;
|
||||
if (body.includes('Merged by **Claude PR merge gate**')) return true;
|
||||
return false;
|
||||
}
|
||||
|
||||
function hasRecentClaudeTrigger(comments, minutes = 35) {
|
||||
const cutoff = Date.now() - minutes * 60 * 1000;
|
||||
return comments.some((c) => {
|
||||
if (!CLAUDE_TRIGGER_LOGINS.includes(c.user.login)) return false;
|
||||
if (isClaudeTriggerNoise(c)) return false;
|
||||
if (!(c.body || '').includes('@claude')) return false;
|
||||
return new Date(c.created_at).getTime() > cutoff;
|
||||
});
|
||||
}
|
||||
|
||||
function isConflictRebaseTriggerComment(c) {
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
const body = (c.body || '').toLowerCase();
|
||||
return body.includes('@claude') && body.includes('merge conflict');
|
||||
}
|
||||
|
||||
function isConflictRebaseCompletionComment(c) {
|
||||
const login = (c.user?.login || '').toLowerCase();
|
||||
if (!login.includes('praisonai-triage') && !login.includes('github-actions')) return false;
|
||||
const body = (c.body || '').toLowerCase();
|
||||
return (
|
||||
body.includes('rebase complete') ||
|
||||
body.includes('rebase onto') ||
|
||||
(body.includes('conflict') && body.includes('resolved'))
|
||||
);
|
||||
}
|
||||
|
||||
function conflictRebaseQuiescent(comments, headPushedAt) {
|
||||
const conflictTriggers = comments.filter(isConflictRebaseTriggerComment);
|
||||
if (conflictTriggers.length === 0) return true;
|
||||
|
||||
const latestConflict = conflictTriggers.reduce((a, b) =>
|
||||
new Date(a.created_at) > new Date(b.created_at) ? a : b
|
||||
);
|
||||
const conflictTime = new Date(latestConflict.created_at).getTime();
|
||||
|
||||
const rebaseDone = comments.some(
|
||||
(c) =>
|
||||
new Date(c.created_at).getTime() > conflictTime && isConflictRebaseCompletionComment(c)
|
||||
);
|
||||
if (!rebaseDone) return false;
|
||||
|
||||
return finalClaudeCompletedOnSha(comments, headPushedAt);
|
||||
}
|
||||
|
||||
function hasRecentConflictComment(comments, headPushedAt = null) {
|
||||
const cutoff = Date.now() - CONFLICT_COOLDOWN_MS;
|
||||
const hasRecentTrigger = comments.some((c) => {
|
||||
if (!isConflictRebaseTriggerComment(c)) return false;
|
||||
return new Date(c.created_at).getTime() > cutoff;
|
||||
});
|
||||
if (!hasRecentTrigger) return false;
|
||||
|
||||
if (headPushedAt && conflictRebaseQuiescent(comments, headPushedAt)) {
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
function isBotReviewer(login, userType) {
|
||||
const lower = (login || '').toLowerCase();
|
||||
if (userType === 'Bot') return true;
|
||||
if (lower.endsWith('[bot]')) return true;
|
||||
return ['coderabbit', 'qodo', 'gemini', 'copilot', 'greptile'].some((p) => lower.includes(p));
|
||||
}
|
||||
|
||||
function latestReviewsByUser(reviews) {
|
||||
const latestByUser = new Map();
|
||||
for (const r of reviews) {
|
||||
const login = r.user?.login;
|
||||
if (!login) continue;
|
||||
const prev = latestByUser.get(login);
|
||||
if (!prev || new Date(r.submitted_at) > new Date(prev.submitted_at)) {
|
||||
latestByUser.set(login, r);
|
||||
}
|
||||
}
|
||||
return latestByUser;
|
||||
}
|
||||
|
||||
function hasHumanChangesRequested(reviews) {
|
||||
for (const [login, review] of latestReviewsByUser(reviews)) {
|
||||
if (review.state !== 'CHANGES_REQUESTED') continue;
|
||||
if (!isBotReviewer(login, review.user?.type)) return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
function hasAnyChangesRequested(reviews) {
|
||||
for (const [, review] of latestReviewsByUser(reviews)) {
|
||||
if (review.state === 'CHANGES_REQUESTED') return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
function hasFinalClaudeReviewTrigger(comments) {
|
||||
return comments.some(isFinalClaudeTriggerComment);
|
||||
}
|
||||
|
||||
function isStaleFinalAfterPush(comments, headPushedAt) {
|
||||
if (!headPushedAt) return false;
|
||||
const headTime = new Date(headPushedAt).getTime();
|
||||
const finals = comments.filter(isFinalClaudeTriggerComment);
|
||||
if (finals.length === 0) return true;
|
||||
const latestFinal = finals.reduce((a, b) =>
|
||||
new Date(a.created_at) > new Date(b.created_at) ? a : b
|
||||
);
|
||||
const finalTime = new Date(latestFinal.created_at).getTime();
|
||||
if (headTime <= finalTime + 60000) return false;
|
||||
const claudeSinceHead = comments.some((c) => {
|
||||
if (!CLAUDE_TRIGGER_LOGINS.includes(c.user.login)) return false;
|
||||
if (isClaudeTriggerNoise(c)) return false;
|
||||
if (!(c.body || '').includes('@claude')) return false;
|
||||
return new Date(c.created_at).getTime() >= headTime - 60000;
|
||||
});
|
||||
return !claudeSinceHead;
|
||||
}
|
||||
|
||||
function needsStaleFinalRecovery(comments, headPushedAt) {
|
||||
return (
|
||||
hasFinalClaudeReviewTrigger(comments) &&
|
||||
isStaleFinalAfterPush(comments, headPushedAt)
|
||||
);
|
||||
}
|
||||
|
||||
function shouldSkipFinalRecovery(comments, headPushedAt) {
|
||||
const isStale = isStaleFinalAfterPush(comments, headPushedAt);
|
||||
if (isStale) return false;
|
||||
return hasRecentClaudeTrigger(comments, 35);
|
||||
}
|
||||
|
||||
function finalClaudeCompletedOnSha(comments, headPushedAt) {
|
||||
if (!hasFinalClaudeReviewTrigger(comments)) return false;
|
||||
if (isStaleFinalAfterPush(comments, headPushedAt)) return false;
|
||||
return true;
|
||||
}
|
||||
|
||||
const FINAL_CLAUDE_REVIEW_BODY =
|
||||
'@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. 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\n4. SDK value: review in depth whether the change genuinely adds value to the SDK — never add features for the sake of adding them. It must strengthen the SDK (simpler, more user-friendly, robust, world-class, secure). If it does not clearly add value, request changes or recommend rejecting/closing rather than merging scope creep\n5. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.\n\n**Phase 2: FIX Valid Issues**\n5. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n6. Push all code fixes directly to THIS branch (do NOT create a new PR)\n7. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n8. If all issues are resolved, approve the PR / close the Issue\n9. If blocking issues remain, request changes / leave clear action items';
|
||||
|
||||
async function getMergeState(github, owner, repo, prNumber) {
|
||||
const query = `
|
||||
query($owner: String!, $repo: String!, $number: Int!) {
|
||||
repository(owner: $owner, name: $repo) {
|
||||
pullRequest(number: $number) {
|
||||
mergeStateStatus
|
||||
maintainerCanModify
|
||||
isDraft
|
||||
headRefOid
|
||||
headRef { repository { nameWithOwner } }
|
||||
}
|
||||
}
|
||||
}
|
||||
`;
|
||||
for (let attempt = 0; attempt < 3; attempt++) {
|
||||
const result = await github.graphql(query, { owner, repo, number: prNumber });
|
||||
const prGql = result.repository.pullRequest;
|
||||
const status = (prGql?.mergeStateStatus || '').toUpperCase();
|
||||
if (status && status !== 'UNKNOWN') {
|
||||
return {
|
||||
status,
|
||||
isDraft: prGql.isDraft,
|
||||
headRepo: prGql.headRef?.repository?.nameWithOwner,
|
||||
headSha: prGql.headRefOid,
|
||||
maintainerCanModify: prGql.maintainerCanModify === true,
|
||||
};
|
||||
}
|
||||
if (attempt < 2) await sleep(10000);
|
||||
}
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
return {
|
||||
status: (pr.mergeable_state || '').toUpperCase(),
|
||||
isDraft: pr.draft,
|
||||
headRepo: pr.head.repo?.full_name,
|
||||
headSha: pr.head.sha,
|
||||
maintainerCanModify: pr.maintainer_can_modify === true,
|
||||
};
|
||||
}
|
||||
|
||||
async function allChecksGreenOnSha(github, owner, repo, sha, core) {
|
||||
const { data } = await github.rest.checks.listForRef({
|
||||
owner,
|
||||
repo,
|
||||
ref: sha,
|
||||
per_page: 100,
|
||||
});
|
||||
const runs = (data.check_runs || []).filter((r) => r.head_sha === sha);
|
||||
if (runs.length === 0) {
|
||||
core?.info?.(`No check runs on ${sha.slice(0, 7)} — allowing (e.g. docs-only PR)`);
|
||||
return true;
|
||||
}
|
||||
for (const run of runs) {
|
||||
if (run.status !== 'completed') {
|
||||
core?.info?.(`Check pending: ${run.name} (${run.status})`);
|
||||
return false;
|
||||
}
|
||||
const ok = ['success', 'neutral', 'skipped'].includes(run.conclusion);
|
||||
if (!ok) {
|
||||
core?.info?.(`Check failed: ${run.name} (${run.conclusion})`);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
function claudeRunBlocksPr(run, headRef) {
|
||||
if (!run || run.event === 'issues') return false;
|
||||
if (!headRef) return true;
|
||||
return run.head_branch === headRef;
|
||||
}
|
||||
|
||||
function hasBlockingClaudeRunForPr(runs, headRef) {
|
||||
return (runs || []).some((r) => claudeRunBlocksPr(r, headRef));
|
||||
}
|
||||
|
||||
async function hasInProgressClaudeAssistant(github, owner, repo, prNumber = null) {
|
||||
try {
|
||||
const { data } = await github.rest.actions.listWorkflowRuns({
|
||||
owner,
|
||||
repo,
|
||||
workflow_id: 'claude.yml',
|
||||
status: 'in_progress',
|
||||
per_page: 20,
|
||||
});
|
||||
const runs = (data.workflow_runs || []).filter((r) => r.event !== 'issues');
|
||||
if (runs.length === 0) return false;
|
||||
if (prNumber == null) return runs.length > 0;
|
||||
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
const headRef = pr.head.ref;
|
||||
return hasBlockingClaudeRunForPr(runs, headRef);
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
function isCiOnlyChange(files) {
|
||||
if (!files.length) return false;
|
||||
return files.every((f) => CI_ONLY_PATH_PREFIXES.some((p) => f.filename.startsWith(p)));
|
||||
}
|
||||
|
||||
function isInternalPullRequestLink(link, owner, repo) {
|
||||
if (link?.base?.repo?.full_name === `${owner}/${repo}`) return true;
|
||||
const baseUrl = link?.base?.repo?.url || '';
|
||||
return baseUrl.endsWith(`/repos/${owner}/${repo}`);
|
||||
}
|
||||
|
||||
async function resolvePrNumberFromLinkedPullRequests(github, owner, repo, linked) {
|
||||
const repoFull = `${owner}/${repo}`;
|
||||
const internal = (linked || []).filter((l) => isInternalPullRequestLink(l, owner, repo));
|
||||
for (const link of internal) {
|
||||
if (!link.number) continue;
|
||||
try {
|
||||
const { data } = await github.rest.pulls.get({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: link.number,
|
||||
});
|
||||
if (data.state === 'open' && data.base?.repo?.full_name === repoFull) {
|
||||
return data.number;
|
||||
}
|
||||
} catch (err) {
|
||||
if (err.status !== 404) throw err;
|
||||
}
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
async function resolvePrNumberFromHeadBranch(github, owner, repo, branch) {
|
||||
if (!branch || branch === 'main' || branch === 'master') return null;
|
||||
const { data } = await github.rest.pulls.list({
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
head: `${owner}:${branch}`,
|
||||
per_page: 1,
|
||||
});
|
||||
return data[0]?.number || null;
|
||||
}
|
||||
|
||||
async function resolvePrNumberFromWorkflowRun(github, owner, repo, workflowRun) {
|
||||
const fromLinked = await resolvePrNumberFromLinkedPullRequests(
|
||||
github, owner, repo, workflowRun.pull_requests
|
||||
);
|
||||
if (fromLinked) return fromLinked;
|
||||
|
||||
const fromBranch = await resolvePrNumberFromHeadBranch(
|
||||
github, owner, repo, workflowRun.head_branch
|
||||
);
|
||||
if (fromBranch) return fromBranch;
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
async function listPullFiles(github, owner, repo, prNumber) {
|
||||
if (typeof github.paginate === 'function') {
|
||||
return github.paginate(github.rest.pulls.listFiles, {
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
const { data } = await github.rest.pulls.listFiles({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return data;
|
||||
}
|
||||
|
||||
function countNewAgentParams(patch) {
|
||||
if (!patch) return 0;
|
||||
return patch
|
||||
.split('\n')
|
||||
.filter((l) => l.startsWith('+') && !l.startsWith('+++'))
|
||||
.filter((l) => {
|
||||
const t = l.slice(1).trim();
|
||||
if (!t || t.startsWith('#') || t.startsWith('"""') || t.startsWith("'''")) return false;
|
||||
if (/^(def|class|@|return\b|if\b|elif\b|else\b|for\b|while\b)/.test(t)) return false;
|
||||
if (/^\w+\s*[:=]/.test(t) && !t.startsWith('self.')) return true;
|
||||
return false;
|
||||
}).length;
|
||||
}
|
||||
|
||||
function getAgentPyChangeFromFiles(files) {
|
||||
const agentFile = files.find((f) => f.filename.endsWith('praisonaiagents/agent/agent.py'));
|
||||
if (!agentFile) {
|
||||
return { touched: false, additions: 0, newParams: 0 };
|
||||
}
|
||||
return {
|
||||
touched: true,
|
||||
additions: agentFile.additions || 0,
|
||||
newParams: countNewAgentParams(agentFile.patch || ''),
|
||||
};
|
||||
}
|
||||
|
||||
async function getAgentPyChange(github, owner, repo, prNumber) {
|
||||
const files = await listPullFiles(github, owner, repo, prNumber);
|
||||
return getAgentPyChangeFromFiles(files);
|
||||
}
|
||||
|
||||
function touchesSdk(files) {
|
||||
return files.some((f) => SDK_PATH_PREFIXES.some((p) => f.filename.startsWith(p)));
|
||||
}
|
||||
|
||||
function hasManualOnlyLabel(labels) {
|
||||
return labels.some((l) => MANUAL_ONLY_LABELS.has(l));
|
||||
}
|
||||
|
||||
function sensitivePathReasons(files, labels = []) {
|
||||
if (labels.includes(WORKFLOW_ONLY_LABEL) && isCiOnlyChange(files)) {
|
||||
return [];
|
||||
}
|
||||
const reasons = [];
|
||||
for (const f of files) {
|
||||
if (SENSITIVE_PATH_PATTERNS.some((p) => p.test(f.filename))) {
|
||||
reasons.push(`sensitive path: ${f.filename}`);
|
||||
break;
|
||||
}
|
||||
}
|
||||
return reasons;
|
||||
}
|
||||
|
||||
function prSizeReasons(files) {
|
||||
const reasons = [];
|
||||
const totalAdditions = files.reduce((sum, f) => sum + (f.additions || 0), 0);
|
||||
if (totalAdditions > PR_MAX_AUTO_ADDITIONS) {
|
||||
reasons.push(`PR +${totalAdditions} lines (>${PR_MAX_AUTO_ADDITIONS}) requires manual review`);
|
||||
}
|
||||
if (files.length > PR_MAX_AUTO_FILES) {
|
||||
reasons.push(`${files.length} files changed (>${PR_MAX_AUTO_FILES}) requires manual review`);
|
||||
}
|
||||
return reasons;
|
||||
}
|
||||
|
||||
function missingTestsReason(files) {
|
||||
const sdkAdds = files.filter(
|
||||
(f) =>
|
||||
f.filename.startsWith('src/praisonai-agents/') &&
|
||||
f.filename.endsWith('.py') &&
|
||||
!f.filename.endsWith('__init__.py') &&
|
||||
(f.additions || 0) > 0
|
||||
);
|
||||
if (sdkAdds.length === 0) return null;
|
||||
const hasTestChange = files.some(
|
||||
(f) => /\/tests?\//.test(f.filename) || /test_.*\.py$/.test(f.filename) || /_test\.py$/.test(f.filename)
|
||||
);
|
||||
if (!hasTestChange) return 'SDK code added without test file changes — requires manual review';
|
||||
return null;
|
||||
}
|
||||
|
||||
function secretScanReasons(files) {
|
||||
for (const f of files) {
|
||||
if (/\/tests?\//.test(f.filename) || /test_.*\.py$/.test(f.filename)) continue;
|
||||
const patch = f.patch || '';
|
||||
if (!patch) continue;
|
||||
for (const pattern of SECRET_PATTERNS) {
|
||||
if (pattern.test(patch)) {
|
||||
return [`possible secret in diff (${f.filename}) — requires manual review`];
|
||||
}
|
||||
}
|
||||
}
|
||||
return [];
|
||||
}
|
||||
|
||||
async function sdkTestChecksReason(github, owner, repo, sha, files, core) {
|
||||
if (!touchesSdk(files)) return null;
|
||||
const { data } = await github.rest.checks.listForRef({
|
||||
owner,
|
||||
repo,
|
||||
ref: sha,
|
||||
per_page: 100,
|
||||
});
|
||||
const runs = (data.check_runs || []).filter((r) => r.head_sha === sha);
|
||||
if (runs.length === 0) {
|
||||
return 'SDK code changed but no CI checks on HEAD';
|
||||
}
|
||||
const testRuns = runs.filter((r) => REQUIRED_SDK_CHECK_PATTERNS.some((p) => p.test(r.name || '')));
|
||||
if (testRuns.length === 0) {
|
||||
return 'SDK code changed but no test check runs on HEAD';
|
||||
}
|
||||
core?.info?.(`SDK test checks on HEAD: ${testRuns.map((r) => r.name).join(', ')}`);
|
||||
return null;
|
||||
}
|
||||
|
||||
function manualReviewReasonForAgentPy(agentChange) {
|
||||
if (!agentChange.touched) return null;
|
||||
if (agentChange.additions > AGENT_PY_MAX_AUTO_LINES) {
|
||||
return `agent.py +${agentChange.additions} lines (>${AGENT_PY_MAX_AUTO_LINES}) requires manual review`;
|
||||
}
|
||||
if (agentChange.newParams > 0) {
|
||||
return `agent.py adds ${agentChange.newParams} new Agent param(s) — requires manual review`;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
async function listAllComments(github, owner, repo, issueNumber) {
|
||||
if (typeof github.paginate === 'function') {
|
||||
return github.paginate(github.rest.issues.listComments, {
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
const { data } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: issueNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
return data;
|
||||
}
|
||||
|
||||
async function getHeadCommitDate(github, owner, repo, prNumber) {
|
||||
try {
|
||||
let commits;
|
||||
if (typeof github.paginate === 'function') {
|
||||
commits = await github.paginate(github.rest.pulls.listCommits, {
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
const { data } = await github.rest.pulls.listCommits({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
commits = data;
|
||||
}
|
||||
const last = commits[commits.length - 1];
|
||||
return last?.commit?.committer?.date || last?.commit?.author?.date || null;
|
||||
} catch {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
async function loadPrContext(github, owner, repo, prNumber) {
|
||||
const { data: pr } = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
const { data: issue } = await github.rest.issues.get({ owner, repo, issue_number: prNumber });
|
||||
const comments = await listAllComments(github, owner, repo, prNumber);
|
||||
const { data: reviews } = await github.rest.pulls.listReviews({
|
||||
owner,
|
||||
repo,
|
||||
pull_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
const mergeState = await getMergeState(github, owner, repo, prNumber);
|
||||
const headSha = mergeState.headSha || pr.head.sha;
|
||||
const headCommitDate = await getHeadCommitDate(github, owner, repo, prNumber);
|
||||
const headPushedAt = headCommitDate || pr.updated_at;
|
||||
|
||||
return {
|
||||
pr,
|
||||
issue,
|
||||
comments,
|
||||
reviews,
|
||||
mergeState,
|
||||
headSha,
|
||||
headPushedAt,
|
||||
labels: issue.labels.map((l) => l.name),
|
||||
baseRepo: `${owner}/${repo}`,
|
||||
};
|
||||
}
|
||||
|
||||
async function evaluatePipelineQuiescent(github, owner, repo, prNumber, core, options = {}) {
|
||||
const {
|
||||
forMergeStep = false,
|
||||
skipGlobalClaudeRunCheck = false,
|
||||
skipRecentClaudeCooldown = false,
|
||||
} = options;
|
||||
const ctx = await loadPrContext(github, owner, repo, prNumber);
|
||||
const reasons = [];
|
||||
|
||||
if (ctx.pr.draft) reasons.push('draft');
|
||||
if (ctx.pr.state !== 'open') reasons.push('not open');
|
||||
if (ctx.labels.includes('auto-merged-by-gate')) reasons.push('already merged by gate');
|
||||
if (ctx.labels.includes('no-auto-merge')) reasons.push('no-auto-merge label');
|
||||
if (ctx.labels.includes('claude-conflict-pending')) reasons.push('claude-conflict-pending');
|
||||
if (!forMergeStep && ctx.labels.includes('claude-merge-gate-active')) {
|
||||
reasons.push('claude-merge-gate-active');
|
||||
}
|
||||
|
||||
const { status, headRepo, maintainerCanModify } = ctx.mergeState;
|
||||
if (!ALLOWED_MERGE_STATES.has(status)) reasons.push(`mergeState=${status}`);
|
||||
|
||||
if (headRepo && headRepo !== ctx.baseRepo) {
|
||||
reasons.push('fork PR');
|
||||
}
|
||||
|
||||
if (hasRecentConflictComment(ctx.comments, ctx.headPushedAt)) {
|
||||
reasons.push('recent merge-conflict @claude');
|
||||
}
|
||||
if (!skipRecentClaudeCooldown && hasRecentClaudeTrigger(ctx.comments, 35)) {
|
||||
reasons.push('recent @claude within 35min');
|
||||
}
|
||||
|
||||
if (!skipGlobalClaudeRunCheck && (await hasInProgressClaudeAssistant(github, owner, repo, prNumber))) {
|
||||
reasons.push('claude.yml in progress');
|
||||
}
|
||||
|
||||
const headTime = new Date(ctx.headPushedAt).getTime();
|
||||
if (Date.now() - headTime < POST_PUSH_BUFFER_MS) reasons.push('post-push buffer (<5min)');
|
||||
|
||||
if (!finalClaudeCompletedOnSha(ctx.comments, ctx.headPushedAt)) {
|
||||
if (!hasFinalClaudeReviewTrigger(ctx.comments)) {
|
||||
reasons.push('no FINAL Claude review trigger');
|
||||
} else if (isStaleFinalAfterPush(ctx.comments, ctx.headPushedAt)) {
|
||||
reasons.push('stale FINAL after new commits (needs @claude re-review)');
|
||||
} else {
|
||||
reasons.push('FINAL Claude not complete on HEAD');
|
||||
}
|
||||
}
|
||||
|
||||
if (hasAnyChangesRequested(ctx.reviews)) reasons.push('CHANGES_REQUESTED review');
|
||||
|
||||
if (hasManualOnlyLabel(ctx.labels)) {
|
||||
const manualLabel = ctx.labels.find((l) => MANUAL_ONLY_LABELS.has(l));
|
||||
reasons.push(`manual-only label: ${manualLabel}`);
|
||||
}
|
||||
|
||||
const pullFiles = await listPullFiles(github, owner, repo, prNumber);
|
||||
|
||||
const agentChange = getAgentPyChangeFromFiles(pullFiles);
|
||||
const agentManual = manualReviewReasonForAgentPy(agentChange);
|
||||
if (agentManual) reasons.push(agentManual);
|
||||
|
||||
reasons.push(...sensitivePathReasons(pullFiles, ctx.labels));
|
||||
reasons.push(...prSizeReasons(pullFiles));
|
||||
reasons.push(...secretScanReasons(pullFiles));
|
||||
|
||||
const testsReason = missingTestsReason(pullFiles);
|
||||
if (testsReason) reasons.push(testsReason);
|
||||
|
||||
const sdkCheckReason = await sdkTestChecksReason(github, owner, repo, ctx.headSha, pullFiles, core);
|
||||
if (sdkCheckReason) reasons.push(sdkCheckReason);
|
||||
|
||||
const checksOk = await allChecksGreenOnSha(github, owner, repo, ctx.headSha, core);
|
||||
if (!checksOk) reasons.push('CI not green on HEAD');
|
||||
|
||||
if (ctx.pr.mergeable === false) reasons.push('not mergeable');
|
||||
|
||||
const ready = reasons.length === 0;
|
||||
return {
|
||||
ready,
|
||||
reasons,
|
||||
headSha: ctx.headSha,
|
||||
prNumber,
|
||||
};
|
||||
}
|
||||
|
||||
async function selectMergeGateCandidates(github, owner, repo, prNumbers, maxCandidates, core) {
|
||||
const readyList = [];
|
||||
const skipped = [];
|
||||
for (const num of prNumbers) {
|
||||
const result = await evaluatePipelineQuiescent(github, owner, repo, num, core);
|
||||
if (result.ready) {
|
||||
readyList.push({ pr_number: num, head_sha: result.headSha });
|
||||
} else {
|
||||
skipped.push({ pr: num, reasons: result.reasons });
|
||||
}
|
||||
}
|
||||
readyList.sort((a, b) => a.pr_number - b.pr_number);
|
||||
return {
|
||||
candidates: readyList.slice(0, maxCandidates),
|
||||
skipped,
|
||||
};
|
||||
}
|
||||
|
||||
function findMergeGateVerdict(comments, minCreatedAt = null, headPushedAt = null) {
|
||||
const minTime = minCreatedAt ? new Date(minCreatedAt).getTime() : 0;
|
||||
const headTime = headPushedAt ? new Date(headPushedAt).getTime() - 60000 : 0;
|
||||
const gateComments = comments
|
||||
.filter((c) => {
|
||||
if (!(c.body || '').includes('MERGE_GATE_VERDICT:')) return false;
|
||||
const created = new Date(c.created_at).getTime();
|
||||
if (minTime && created < minTime) return false;
|
||||
if (headTime && created < headTime) return false;
|
||||
return true;
|
||||
})
|
||||
.sort((a, b) => new Date(b.created_at) - new Date(a.created_at));
|
||||
if (gateComments.length === 0) return null;
|
||||
const body = gateComments[0].body || '';
|
||||
if (body.includes('MERGE_GATE_VERDICT: APPROVE')) return 'APPROVE';
|
||||
if (body.includes('MERGE_GATE_VERDICT: BLOCK')) return 'BLOCK';
|
||||
return null;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
CLAUDE_TRIGGER_LOGINS,
|
||||
AUTO_ACTORS,
|
||||
isFinalClaudeTriggerComment,
|
||||
isClaudeTriggerNoise,
|
||||
hasRecentClaudeTrigger,
|
||||
hasRecentConflictComment,
|
||||
isConflictRebaseTriggerComment,
|
||||
isConflictRebaseCompletionComment,
|
||||
conflictRebaseQuiescent,
|
||||
hasHumanChangesRequested,
|
||||
hasAnyChangesRequested,
|
||||
hasFinalClaudeReviewTrigger,
|
||||
finalClaudeCompletedOnSha,
|
||||
getMergeState,
|
||||
allChecksGreenOnSha,
|
||||
hasInProgressClaudeAssistant,
|
||||
claudeRunBlocksPr,
|
||||
hasBlockingClaudeRunForPr,
|
||||
isCiOnlyChange,
|
||||
isInternalPullRequestLink,
|
||||
resolvePrNumberFromLinkedPullRequests,
|
||||
resolvePrNumberFromHeadBranch,
|
||||
resolvePrNumberFromWorkflowRun,
|
||||
WORKFLOW_ONLY_LABEL,
|
||||
getAgentPyChange,
|
||||
getAgentPyChangeFromFiles,
|
||||
manualReviewReasonForAgentPy,
|
||||
countNewAgentParams,
|
||||
listPullFiles,
|
||||
touchesSdk,
|
||||
hasManualOnlyLabel,
|
||||
sensitivePathReasons,
|
||||
prSizeReasons,
|
||||
missingTestsReason,
|
||||
secretScanReasons,
|
||||
sdkTestChecksReason,
|
||||
listAllComments,
|
||||
getHeadCommitDate,
|
||||
isStaleFinalAfterPush,
|
||||
needsStaleFinalRecovery,
|
||||
shouldSkipFinalRecovery,
|
||||
FINAL_CLAUDE_REVIEW_BODY,
|
||||
loadPrContext,
|
||||
evaluatePipelineQuiescent,
|
||||
selectMergeGateCandidates,
|
||||
findMergeGateVerdict,
|
||||
};
|
||||
@@ -1,76 +0,0 @@
|
||||
#!/usr/bin/env node
|
||||
/**
|
||||
* Run: node .github/scripts/pipeline-status-selftest.js
|
||||
*/
|
||||
const ps = require('./pipeline-status.js');
|
||||
const mg = require('./merge-gate.js');
|
||||
|
||||
let failed = 0;
|
||||
function assert(name, cond) {
|
||||
if (!cond) {
|
||||
console.error('FAIL:', name);
|
||||
failed++;
|
||||
} else {
|
||||
console.log('ok:', name);
|
||||
}
|
||||
}
|
||||
|
||||
const kickComments = [
|
||||
{ user: { login: 'MervinPraison' }, body: '@coderabbitai review' },
|
||||
{ user: { login: 'MervinPraison' }, body: '/review' },
|
||||
];
|
||||
|
||||
const finalComment = {
|
||||
user: { login: 'MervinPraison' },
|
||||
body: '@claude You are the FINAL architecture reviewer.',
|
||||
created_at: '2026-06-26T10:00:00Z',
|
||||
};
|
||||
|
||||
assert(
|
||||
'reviews pending when not kicked',
|
||||
ps.deriveStage([], { ready: false, reasons: ['no FINAL Claude review trigger'] })
|
||||
=== 'pipeline/reviews-pending'
|
||||
);
|
||||
assert(
|
||||
'final pending after kick',
|
||||
ps.deriveStage(kickComments, { ready: false, reasons: ['no FINAL Claude review trigger'] })
|
||||
=== 'pipeline/final-claude-pending'
|
||||
);
|
||||
assert(
|
||||
'awaiting merge gate after final',
|
||||
ps.deriveStage(
|
||||
[...kickComments, finalComment],
|
||||
{ ready: false, reasons: ['recent @claude within 35min'] }
|
||||
) === 'pipeline/awaiting-merge-gate'
|
||||
);
|
||||
assert(
|
||||
'merge ready',
|
||||
ps.deriveStage([...kickComments, finalComment], { ready: true, reasons: [] })
|
||||
=== 'pipeline/merge-ready'
|
||||
);
|
||||
|
||||
const blockers = ps.deriveBlockerLabels({
|
||||
ready: false,
|
||||
reasons: ['CI not green on HEAD', 'SDK code added without test file changes — requires manual review'],
|
||||
});
|
||||
assert('maps ci blocker', blockers.includes('pipeline/blocked:ci'));
|
||||
assert('maps manual blocker', blockers.includes('pipeline/blocked:manual-review'));
|
||||
|
||||
assert(
|
||||
'internal link matches upstream base',
|
||||
mg.isInternalPullRequestLink(
|
||||
{ base: { repo: { full_name: 'MervinPraison/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
)
|
||||
);
|
||||
assert(
|
||||
'fork sync link rejected',
|
||||
!mg.isInternalPullRequestLink(
|
||||
{ number: 21, base: { repo: { full_name: 'Milkmange/PraisonAI' } } },
|
||||
'MervinPraison',
|
||||
'PraisonAI'
|
||||
)
|
||||
);
|
||||
|
||||
process.exit(failed ? 1 : 0);
|
||||
@@ -1,202 +0,0 @@
|
||||
/**
|
||||
* Sync pipeline stage/blocker labels on open PRs.
|
||||
* @see .github/workflows/pipeline-status-sync.yml
|
||||
*/
|
||||
|
||||
const mergeGate = require('./merge-gate.js');
|
||||
const chain = require('./bot-pr-review-chain.js');
|
||||
|
||||
const PIPELINE_PREFIX = 'pipeline/';
|
||||
const STAGE_LABELS = [
|
||||
'pipeline/reviews-pending',
|
||||
'pipeline/final-claude-pending',
|
||||
'pipeline/awaiting-merge-gate',
|
||||
'pipeline/merge-ready',
|
||||
'pipeline/merged',
|
||||
];
|
||||
const BLOCKER_LABELS = [
|
||||
'pipeline/blocked:ci',
|
||||
'pipeline/blocked:conflict',
|
||||
'pipeline/blocked:manual-review',
|
||||
'pipeline/blocked:cooldown',
|
||||
'pipeline/blocked:stale-final',
|
||||
'pipeline/blocked:no-final',
|
||||
];
|
||||
const ALL_PIPELINE_LABELS = [...STAGE_LABELS, ...BLOCKER_LABELS];
|
||||
|
||||
const LABEL_SPECS = [
|
||||
{ name: 'pipeline/reviews-pending', color: 'fbca04', description: 'Waiting for CodeRabbit/Qodo/Copilot reviews' },
|
||||
{ name: 'pipeline/final-claude-pending', color: 'd4c5f9', description: 'Reviews done; waiting for FINAL @claude' },
|
||||
{ name: 'pipeline/awaiting-merge-gate', color: 'c5def5', description: 'FINAL done; waiting for merge gate / CI' },
|
||||
{ name: 'pipeline/merge-ready', color: '0e8a16', description: 'Eligible for merge gate auto-merge' },
|
||||
{ name: 'pipeline/merged', color: '6f42c1', description: 'Merged via pipeline' },
|
||||
{ name: 'pipeline/blocked:ci', color: 'd93f0b', description: 'Blocked: CI not green on HEAD' },
|
||||
{ name: 'pipeline/blocked:conflict', color: 'b60205', description: 'Blocked: merge conflict or rebase pending' },
|
||||
{ name: 'pipeline/blocked:manual-review', color: 'e99695', description: 'Blocked: requires manual review' },
|
||||
{ name: 'pipeline/blocked:cooldown', color: 'fef2c0', description: 'Blocked: post-push or @claude cooldown' },
|
||||
{ name: 'pipeline/blocked:stale-final', color: 'f9d0c4', description: 'Blocked: FINAL stale after new commits' },
|
||||
{ name: 'pipeline/blocked:no-final', color: 'ededed', description: 'Blocked: no FINAL @claude trigger yet' },
|
||||
];
|
||||
|
||||
function deriveStage(comments, evalResult) {
|
||||
if (evalResult.ready) return 'pipeline/merge-ready';
|
||||
if (!chain.chainKickPosted(comments)) return 'pipeline/reviews-pending';
|
||||
if (!mergeGate.hasFinalClaudeReviewTrigger(comments)) return 'pipeline/final-claude-pending';
|
||||
return 'pipeline/awaiting-merge-gate';
|
||||
}
|
||||
|
||||
function reasonToBlockerLabel(reason) {
|
||||
const r = (reason || '').toLowerCase();
|
||||
if (r.includes('ci not green') || r.includes('sdk code changed but no ci')) return 'pipeline/blocked:ci';
|
||||
if (
|
||||
r.includes('conflict') ||
|
||||
r.includes('mergestate=dirty') ||
|
||||
r.includes('not mergeable')
|
||||
) return 'pipeline/blocked:conflict';
|
||||
if (
|
||||
r.includes('manual') ||
|
||||
r.includes('requires manual') ||
|
||||
r.includes('sensitive path') ||
|
||||
r.includes('no-auto-merge') ||
|
||||
r.includes('manual-only label') ||
|
||||
r.includes('without test') ||
|
||||
r.includes('files changed') ||
|
||||
r.includes('possible secret') ||
|
||||
r.includes('agent.py')
|
||||
) return 'pipeline/blocked:manual-review';
|
||||
if (r.includes('recent @claude') || r.includes('post-push buffer')) return 'pipeline/blocked:cooldown';
|
||||
if (r.includes('stale final')) return 'pipeline/blocked:stale-final';
|
||||
if (r.includes('no final claude')) return 'pipeline/blocked:no-final';
|
||||
if (r.includes('final claude not complete')) return 'pipeline/blocked:stale-final';
|
||||
if (r.includes('claude.yml in progress') || r.includes('claude-merge-gate-active')) {
|
||||
return null;
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
function deriveBlockerLabels(evalResult) {
|
||||
if (evalResult.ready) return [];
|
||||
const labels = new Set();
|
||||
for (const reason of evalResult.reasons || []) {
|
||||
const mapped = reasonToBlockerLabel(reason);
|
||||
if (mapped && mapped.startsWith('pipeline/blocked:')) labels.add(mapped);
|
||||
}
|
||||
return [...labels];
|
||||
}
|
||||
|
||||
function computePipelineLabels(comments, evalResult) {
|
||||
const stage = deriveStage(comments, evalResult);
|
||||
const blockers = stage === 'pipeline/merge-ready' ? [] : deriveBlockerLabels(evalResult);
|
||||
return { stage, blockers, all: [stage, ...blockers] };
|
||||
}
|
||||
|
||||
async function ensurePipelineLabels(github, owner, repo, core) {
|
||||
let existing;
|
||||
if (typeof github.paginate === 'function') {
|
||||
existing = await github.paginate(github.rest.issues.listLabelsForRepo, {
|
||||
owner,
|
||||
repo,
|
||||
per_page: 100,
|
||||
});
|
||||
} else {
|
||||
({ data: existing } = await github.rest.issues.listLabelsForRepo({
|
||||
owner,
|
||||
repo,
|
||||
per_page: 100,
|
||||
}));
|
||||
}
|
||||
const names = new Set(existing.map((l) => l.name));
|
||||
for (const spec of LABEL_SPECS) {
|
||||
if (names.has(spec.name)) continue;
|
||||
try {
|
||||
await github.rest.issues.createLabel({
|
||||
owner,
|
||||
repo,
|
||||
name: spec.name,
|
||||
color: spec.color,
|
||||
description: spec.description,
|
||||
});
|
||||
core?.info?.(`Created label ${spec.name}`);
|
||||
} catch (err) {
|
||||
if (err.status !== 422) throw err;
|
||||
core?.info?.(`Label ${spec.name} already exists`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function syncPipelineLabels(github, owner, repo, prNumber, core) {
|
||||
const ctx = await mergeGate.loadPrContext(github, owner, repo, prNumber);
|
||||
if (ctx.pr.state !== 'open') return { synced: false, reason: 'not_open' };
|
||||
|
||||
const evalResult = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core
|
||||
);
|
||||
const { stage, blockers, all } = computePipelineLabels(ctx.comments, evalResult);
|
||||
|
||||
const current = ctx.labels.filter((l) => l.startsWith(PIPELINE_PREFIX));
|
||||
const desired = new Set(all);
|
||||
const toRemove = current.filter((l) => !desired.has(l) && l !== 'pipeline/merged');
|
||||
const toAdd = all.filter((l) => !current.includes(l));
|
||||
|
||||
for (const name of toRemove) {
|
||||
try {
|
||||
await github.rest.issues.removeLabel({ owner, repo, issue_number: prNumber, name });
|
||||
} catch (err) {
|
||||
if (err.status !== 404) throw err;
|
||||
}
|
||||
}
|
||||
if (toAdd.length) {
|
||||
await github.rest.issues.addLabels({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
labels: toAdd,
|
||||
});
|
||||
}
|
||||
|
||||
core?.info?.(`PR #${prNumber}: stage=${stage} blockers=[${blockers.join(', ')}]`);
|
||||
return { synced: true, stage, blockers, ready: evalResult.ready, reasons: evalResult.reasons };
|
||||
}
|
||||
|
||||
async function syncOpenPullRequests(github, owner, repo, options, core) {
|
||||
const { maxPrs = 20 } = options || {};
|
||||
await ensurePipelineLabels(github, owner, repo, core);
|
||||
let prs;
|
||||
if (maxPrs <= 100) {
|
||||
({ data: prs } = await github.rest.pulls.list({
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
}));
|
||||
} else {
|
||||
prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
});
|
||||
}
|
||||
let synced = 0;
|
||||
for (const pr of prs) {
|
||||
if (synced >= maxPrs) break;
|
||||
if (pr.draft) continue;
|
||||
if (pr.head?.repo?.full_name && pr.head.repo.full_name !== `${owner}/${repo}`) continue;
|
||||
await syncPipelineLabels(github, owner, repo, pr.number, core);
|
||||
synced += 1;
|
||||
}
|
||||
core?.info?.(`Pipeline label sync complete (${synced} PR(s))`);
|
||||
return synced;
|
||||
}
|
||||
|
||||
module.exports = {
|
||||
STAGE_LABELS,
|
||||
BLOCKER_LABELS,
|
||||
ALL_PIPELINE_LABELS,
|
||||
deriveStage,
|
||||
deriveBlockerLabels,
|
||||
computePipelineLabels,
|
||||
ensurePipelineLabels,
|
||||
syncPipelineLabels,
|
||||
syncOpenPullRequests,
|
||||
};
|
||||
@@ -1,3 +0,0 @@
|
||||
# GitHub Issue #1350: Add debug log on successful branch checkout
|
||||
|
||||
The github_create_branch function in src/praisonai-agents/praisonaiagents/tools/github_tools.py should call logger.debug after a successful checkout.
|
||||
@@ -1,46 +1,26 @@
|
||||
name: Auto Issue Comment
|
||||
name: Auto Issue Comment with PR Creation
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
# issues:
|
||||
# types: [opened]
|
||||
issues:
|
||||
types: [opened]
|
||||
|
||||
jobs:
|
||||
# Trigger Claude by adding the 'claude' label (only if not already labeled)
|
||||
# Note: @claude in comments only works from human users (not bots)
|
||||
# The claude.yml workflow listens for issues:labeled event with 'claude' label
|
||||
trigger-claude:
|
||||
# Skip if issue was already created with 'claude' label to avoid double-trigger
|
||||
if: |
|
||||
!contains(toJSON(github.event.issue.labels), 'claude')
|
||||
add-comment:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
issues: write
|
||||
contents: write
|
||||
pull-requests: write
|
||||
actions: read
|
||||
steps:
|
||||
- name: Add claude label to trigger analysis
|
||||
- name: Add automated comment
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
// Check if 'claude' label already exists on this issue
|
||||
const labels = context.payload.issue.labels.map(l => l.name);
|
||||
if (labels.includes('claude')) {
|
||||
console.log('Issue already has claude label, skipping');
|
||||
return;
|
||||
}
|
||||
|
||||
// Add label to trigger claude.yml via issues:labeled event
|
||||
await github.rest.issues.addLabels({
|
||||
github.rest.issues.createComment({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
labels: ['claude']
|
||||
});
|
||||
|
||||
// Also post instructions as a comment for context
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '🤖 Auto-triaging with Claude. Analyzing issue and implementing a fix...\n\nClaude will:\n1. Classify this issue\n2. Search codebase for root cause\n3. Implement a minimal fix following AGENTS.md\n4. Create a PR with the changes'
|
||||
});
|
||||
body: '@claude review this issue and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes. MAINLY IT SHOULD NOT IMPACT ON THE CURRENT SPEED OF EXECUTION of existing features, not increasing the overhead. **Please create a PR using gh tool with your changes**.'
|
||||
})
|
||||
@@ -1,684 +1,23 @@
|
||||
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, synchronize]
|
||||
schedule:
|
||||
- cron: '30 3,9,15,21 * * *'
|
||||
workflow_dispatch:
|
||||
|
||||
env:
|
||||
MAX_POLL_ATTEMPTS: 20
|
||||
POLL_DELAY_MS: 30000
|
||||
CLAUDE_TRIGGER_LOGINS: '["MervinPraison","github-actions[bot]"]'
|
||||
types: [opened]
|
||||
|
||||
jobs:
|
||||
# ================================================================
|
||||
# HUMAN PRs: Trigger @copilot AFTER CodeRabbit posts its summary
|
||||
# ================================================================
|
||||
copilot-after-coderabbit:
|
||||
if: |
|
||||
github.event_name == 'issue_comment' &&
|
||||
github.event.issue.pull_request &&
|
||||
github.event.comment.user.login == 'coderabbitai[bot]' &&
|
||||
contains(github.event.comment.body, 'summarize by coderabbit')
|
||||
add-comment:
|
||||
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
|
||||
- name: Add automated comment
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const comments = await github.rest.issues.listComments({
|
||||
issue_number: context.issue.number,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo
|
||||
});
|
||||
// Check for duplicates — posted by MervinPraison (PAT) or github-actions[bot] (legacy)
|
||||
const alreadyPosted = comments.data.some(c =>
|
||||
c.body.includes('@copilot') &&
|
||||
(c.user.login === 'MervinPraison' || c.user.login === 'github-actions[bot]')
|
||||
);
|
||||
if (alreadyPosted) {
|
||||
console.log('Copilot already triggered, skipping');
|
||||
core.setOutput('triggered', 'false');
|
||||
core.setOutput('pr_number', context.issue.number.toString());
|
||||
return;
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
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());
|
||||
|
||||
# ================================================================
|
||||
# FALLBACK: Claude trigger for cases where Copilot chain fails/skips
|
||||
# Ensures Claude always runs after sufficient review time
|
||||
# ================================================================
|
||||
claude-fallback-timeout:
|
||||
if: |
|
||||
github.event_name == 'pull_request' &&
|
||||
github.event.action == 'opened'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 20
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Wait for review window (15 min)
|
||||
run: sleep 900
|
||||
|
||||
- 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 => {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!body.includes('@claude') || !triggerLogins.includes(c.user.login)) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
});
|
||||
core.setOutput('already_triggered', alreadyPosted ? 'true' : 'false');
|
||||
core.setOutput('comments_count', comments.data.length.toString());
|
||||
|
||||
// Collect all bot reviewer comments for context
|
||||
const botReviews = comments.data.filter(c =>
|
||||
['coderabbitai[bot]', 'qodo-code-review[bot]', 'gemini-code-assist[bot]',
|
||||
'copilot-swe-agent', 'Copilot', 'greptile-apps[bot]'].some(bot =>
|
||||
c.user.login.toLowerCase().includes(bot.toLowerCase())
|
||||
)
|
||||
);
|
||||
core.setOutput('review_count', botReviews.length.toString());
|
||||
|
||||
- name: Aggregate reviews and trigger Claude
|
||||
if: steps.check_claude.outputs.already_triggered != 'true'
|
||||
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, per_page: 100});
|
||||
const reviews = {coderabbit: [], qodo: [], gemini: [], copilot: [], greptile: [], others: []};
|
||||
comments.data.forEach(c => {
|
||||
const login = c.user.login.toLowerCase();
|
||||
const body = c.body.substring(0, 500);
|
||||
if (login.includes('coderabbit')) reviews.coderabbit.push(body);
|
||||
else if (login.includes('qodo')) reviews.qodo.push(body);
|
||||
else if (login.includes('gemini')) reviews.gemini.push(body);
|
||||
else if (login.includes('copilot')) reviews.copilot.push(body);
|
||||
else if (login.includes('greptile')) reviews.greptile.push(body);
|
||||
else if (c.user.type === 'Bot') reviews.others.push(body);
|
||||
});
|
||||
const summaryParts = [];
|
||||
if (reviews.coderabbit.length) summaryParts.push('CodeRabbit: ' + reviews.coderabbit.length + ' comments');
|
||||
if (reviews.qodo.length) summaryParts.push('Qodo: ' + reviews.qodo.length + ' comments');
|
||||
if (reviews.gemini.length) summaryParts.push('Gemini: ' + reviews.gemini.length + ' comments');
|
||||
if (reviews.copilot.length) summaryParts.push('Copilot: ' + reviews.copilot.length + ' comments');
|
||||
if (reviews.greptile.length) summaryParts.push('Greptile: ' + reviews.greptile.length + ' comments');
|
||||
const reviewSummary = summaryParts.length ? summaryParts.join(' | ') : 'No bot reviews detected';
|
||||
const claudeBody = '@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. ' + reviewSummary + '.\n\n' +
|
||||
'Review Context: ' + comments.data.length + ' total comments, ' +
|
||||
(reviews.coderabbit.length + reviews.qodo.length + reviews.gemini.length + reviews.copilot.length + reviews.greptile.length) + ' bot reviews.\n\n' +
|
||||
'Phase 1: Review per AGENTS.md principles (protocol-driven, backward compatible, no perf impact, SDK value gate — no feature bloat).\n' +
|
||||
'Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.\n' +
|
||||
'Phase 2: FIX valid issues found by prior reviewers.\n' +
|
||||
'Phase 3: Provide final verdict (approve or request changes).';
|
||||
await github.rest.issues.createComment({issue_number: context.issue.number, owner: context.repo.owner, repo: context.repo.repo, body: claudeBody});
|
||||
console.log('Claude fallback triggered on PR #' + context.issue.number + ' with ' + reviewSummary);
|
||||
|
||||
# ================================================================
|
||||
# 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:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- 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 => {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!body.includes('@claude') || !triggerLogins.includes(c.user.login)) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
});
|
||||
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: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n4. SDK value: review in depth whether the change genuinely adds value to the SDK — never add features for the sake of adding them. It must strengthen the SDK (simpler, more user-friendly, robust, world-class, secure). If it does not clearly add value, request changes or recommend rejecting/closing rather than merging scope creep\n5. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.\n\n**Phase 2: FIX Valid Issues**\n5. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n6. Push all code fixes directly to THIS branch (do NOT create a new PR)\n7. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n8. If all issues are resolved, approve the PR / close the Issue\n9. If blocking issues remain, request changes / leave clear action items'
|
||||
});
|
||||
console.log(`Claude triggered on PR #${pr}`);
|
||||
|
||||
- name: Sync pipeline status labels
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-coderabbit.outputs.pr_number }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
|
||||
# ================================================================
|
||||
# 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:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- 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 => {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!body.includes('@claude') || !triggerLogins.includes(c.user.login)) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
});
|
||||
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: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@claude You are the FINAL architecture reviewer. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. Read ALL comments above from Gemini, Qodo, CodeRabbit, and Copilot carefully before responding.\n\n**Phase 1: Review per AGENTS.md**\n1. Protocol-driven: check heavy implementations vs core SDK\n2. Backward compatible: ensure zero feature regressions\n3. Performance: no hot-path regressions\n4. SDK value: review in depth whether the change genuinely adds value to the SDK — never add features for the sake of adding them. It must strengthen the SDK (simpler, more user-friendly, robust, world-class, secure). If it does not clearly add value, request changes or recommend rejecting/closing rather than merging scope creep\n5. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.\n\n**Phase 2: FIX Valid Issues**\n5. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n6. Push all code fixes directly to THIS branch (do NOT create a new PR)\n7. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n8. If all issues are resolved, approve the PR / close the Issue\n9. If blocking issues remain, request changes / leave clear action items'
|
||||
});
|
||||
console.log(`Claude triggered on PR #${pr}`);
|
||||
|
||||
- name: Sync pipeline status labels
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER: ${{ needs.copilot-after-qodo.outputs.pr_number }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const pr = parseInt(process.env.PR_NUMBER, 10);
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
|
||||
# ================================================================
|
||||
# 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 => {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!body.includes('@claude') || !triggerLogins.includes(c.user.login)) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
});
|
||||
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. If the branch is under MervinPraison/PraisonAI (not a fork), you are able to make modifications to this branch and push directly. SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify praisonai-rust or praisonai-ts. 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\n4. SDK value: review in depth whether the change genuinely adds value to the SDK — never add features for the sake of adding them. It must strengthen the SDK (simpler, more user-friendly, robust, world-class, secure). If it does not clearly add value, request changes or recommend rejecting/closing rather than merging scope creep\n5. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.\n\n**Phase 2: FIX Valid Issues**\n5. For any VALID bugs or architectural flaws found by Gemini, CodeRabbit, Qodo, Copilot, or any other reviewer: implement the fix\n6. Push all code fixes directly to THIS branch (do NOT create a new PR)\n7. Comment a summary of exact files modified and what you skipped\n\n**Phase 3: Final Verdict**\n8. If all issues are resolved, approve the PR / close the Issue\n9. If blocking issues remain, request changes / leave clear action items'
|
||||
});
|
||||
|
||||
# ================================================================
|
||||
# Recovery: post FINAL @claude if merge-conflict comment blocked the chain
|
||||
# (e.g. conflict fired before claude-after-copilot could post review prompt)
|
||||
# ================================================================
|
||||
claude-review-recovery:
|
||||
if: |
|
||||
github.event_name == 'pull_request' &&
|
||||
github.event.action == 'synchronize'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: read
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Re-post FINAL Claude review when stale or missing
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
|
||||
const comments = await mergeGate.listAllComments(github, owner, repo, pr);
|
||||
const headPushedAt = (await mergeGate.getHeadCommitDate(github, owner, repo, pr))
|
||||
|| context.payload.pull_request.updated_at;
|
||||
|
||||
const hasFinal = mergeGate.hasFinalClaudeReviewTrigger(comments);
|
||||
const isStale = mergeGate.isStaleFinalAfterPush(comments, headPushedAt);
|
||||
|
||||
if (mergeGate.shouldSkipFinalRecovery(comments, headPushedAt)) {
|
||||
core.info('Recent @claude within 35min and FINAL not stale — skip recovery');
|
||||
return;
|
||||
}
|
||||
|
||||
const finalBody = mergeGate.FINAL_CLAUDE_REVIEW_BODY;
|
||||
|
||||
if (hasFinal && isStale) {
|
||||
await github.rest.issues.createComment({ issue_number: pr, owner, repo, body: finalBody });
|
||||
core.info(`Posted stale-FINAL recovery @claude on PR #${pr}`);
|
||||
return;
|
||||
}
|
||||
|
||||
if (hasFinal) {
|
||||
core.info('FINAL Claude review current on HEAD — skip recovery');
|
||||
return;
|
||||
}
|
||||
|
||||
const hasReviewerActivity = comments.some(c => {
|
||||
const login = c.user.login.toLowerCase();
|
||||
return login.includes('coderabbit') || login.includes('copilot') ||
|
||||
login.includes('greptile') || login.includes('qodo') || login.includes('gemini');
|
||||
});
|
||||
if (!hasReviewerActivity) {
|
||||
core.info('No bot reviewer activity yet, skipping recovery');
|
||||
return;
|
||||
}
|
||||
|
||||
await github.rest.issues.createComment({ issue_number: pr, owner, repo, body: finalBody });
|
||||
core.info(`Posted missing FINAL Claude review on PR #${pr}`);
|
||||
|
||||
- name: Sync pipeline status labels
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
|
||||
# Scheduled: re-post @claude when FINAL is stale (Claude pushed after last FINAL trigger)
|
||||
stale-final-recovery-scheduled:
|
||||
if: github.event_name == 'schedule' || github.event_name == 'workflow_dispatch'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: read
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Re-post stale FINAL @claude on open internal PRs
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner, repo, state: 'open', per_page: 100,
|
||||
});
|
||||
let posted = 0;
|
||||
for (const pr of prs) {
|
||||
if (pr.draft) continue;
|
||||
if (pr.head?.repo?.full_name && pr.head.repo.full_name !== `${owner}/${repo}`) continue;
|
||||
const comments = await mergeGate.listAllComments(github, owner, repo, pr.number);
|
||||
const headPushedAt = (await mergeGate.getHeadCommitDate(github, owner, repo, pr.number)) || pr.updated_at;
|
||||
if (!mergeGate.needsStaleFinalRecovery(comments, headPushedAt)) continue;
|
||||
if (mergeGate.hasRecentClaudeTrigger(comments, 10)) {
|
||||
core.info(`PR #${pr.number}: stale FINAL but @claude within 10min — skip`);
|
||||
continue;
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: pr.number, owner, repo,
|
||||
body: mergeGate.FINAL_CLAUDE_REVIEW_BODY,
|
||||
});
|
||||
posted++;
|
||||
core.info(`Posted scheduled stale-FINAL recovery on PR #${pr.number}`);
|
||||
if (posted >= 5) break;
|
||||
}
|
||||
core.info(`Scheduled stale-FINAL recovery complete (${posted} posted)`);
|
||||
|
||||
# ================================================================
|
||||
# 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
|
||||
issues: write
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Trigger CodeRabbit and Qodo reviews
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/bot-pr-review-chain.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await chain.kickReviewChain(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
|
||||
- name: Sync pipeline status labels
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const pr = context.payload.pull_request.number;
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, pr, core);
|
||||
body: '@claude review this pull request and do a detailed analysis and fix this if the existing code doesn\'t have the solution implemented. Making sure it has backward compatibility, no existing features removed. After making those changes, again review the applied changes. Use @web to search if you dont know any information or to find the latest documentation or to find the latest version. Run the code if you think you need to run it to test it. Minimal code change to start with if required any changes. MAINLY IT SHOULD NOT IMPACT ON THE CURRENT SPEED OF EXECUTION of existing features, not increasing the overhead.'
|
||||
})
|
||||
@@ -20,8 +20,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python 3.12
|
||||
uses: actions/setup-python@v5
|
||||
@@ -37,8 +35,6 @@ jobs:
|
||||
|
||||
- name: Run Import Time Benchmark
|
||||
id: import_time
|
||||
env:
|
||||
FAIL_ON_REGRESSION: ${{ inputs.fail_on_regression }}
|
||||
run: |
|
||||
cd src/praisonai-agents
|
||||
python benchmarks/import_time.py 2>&1 | tee import_time_output.txt
|
||||
@@ -50,7 +46,7 @@ jobs:
|
||||
# Check threshold (200ms)
|
||||
if (( $(echo "$IMPORT_TIME > 200" | bc -l) )); then
|
||||
echo "::warning::Import time ${IMPORT_TIME}ms exceeds 200ms threshold"
|
||||
if [ "$FAIL_ON_REGRESSION" == "true" ]; then
|
||||
if [ "${{ inputs.fail_on_regression }}" == "true" ]; then
|
||||
echo "import_passed=false" >> $GITHUB_OUTPUT
|
||||
fi
|
||||
else
|
||||
@@ -59,8 +55,6 @@ jobs:
|
||||
|
||||
- name: Run Memory Usage Benchmark
|
||||
id: memory
|
||||
env:
|
||||
FAIL_ON_REGRESSION: ${{ inputs.fail_on_regression }}
|
||||
run: |
|
||||
cd src/praisonai-agents
|
||||
python benchmarks/memory_usage.py 2>&1 | tee memory_output.txt
|
||||
@@ -72,7 +66,7 @@ jobs:
|
||||
# Check threshold (30MB)
|
||||
if (( $(echo "$PEAK_MEMORY > 30" | bc -l) )); then
|
||||
echo "::warning::Memory usage ${PEAK_MEMORY}MB exceeds 30MB threshold"
|
||||
if [ "$FAIL_ON_REGRESSION" == "true" ]; then
|
||||
if [ "${{ inputs.fail_on_regression }}" == "true" ]; then
|
||||
echo "memory_passed=false" >> $GITHUB_OUTPUT
|
||||
fi
|
||||
else
|
||||
@@ -101,11 +95,9 @@ jobs:
|
||||
|
||||
- name: Run Parameter Impact Benchmark
|
||||
id: param_impact
|
||||
env:
|
||||
INPUT_ITERATIONS: ${{ inputs.iterations }}
|
||||
run: |
|
||||
cd src/praisonai-agents
|
||||
python benchmarks/param_impact_benchmark.py --no-save --iterations "$INPUT_ITERATIONS" 2>&1 | tee param_impact_output.txt
|
||||
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
|
||||
|
||||
@@ -1,43 +0,0 @@
|
||||
name: Bot PR Recovery
|
||||
|
||||
# Belt-and-braces: kick CodeRabbit/Qodo when pull_request:opened never fired for bot PRs.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '*/15 * * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr_number:
|
||||
description: 'Specific PR number to kick (optional)'
|
||||
required: false
|
||||
type: string
|
||||
|
||||
permissions:
|
||||
pull-requests: write
|
||||
issues: write
|
||||
|
||||
jobs:
|
||||
recover:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Find and kick stalled bot PRs
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PR_NUMBER_INPUT: ${{ github.event.inputs.pr_number }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/bot-pr-review-chain.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const manual = (process.env.PR_NUMBER_INPUT || '').trim();
|
||||
const prNumber = manual ? parseInt(manual, 10) : null;
|
||||
if (manual && Number.isNaN(prNumber)) {
|
||||
throw new Error(`Invalid pr_number: ${manual}`);
|
||||
}
|
||||
await chain.recoverStalledBotPrs(github, owner, repo, { prNumber }, core);
|
||||
@@ -18,8 +18,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
@@ -2,9 +2,8 @@ name: Claude Issue Triage
|
||||
description: "Automatically triage GitHub issues using Claude Code"
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
# issues:
|
||||
# types: [opened]
|
||||
issues:
|
||||
types: [opened]
|
||||
|
||||
jobs:
|
||||
triage-issue:
|
||||
@@ -13,23 +12,12 @@ jobs:
|
||||
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 }}
|
||||
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
|
||||
github_token: ${{ secrets.GITHUB_TOKEN }}
|
||||
@@ -1,474 +0,0 @@
|
||||
name: Claude PR Merge Gate
|
||||
|
||||
# Read-only Claude assesses merge readiness; GH_TOKEN merges (no @claude, no gh pr review).
|
||||
# Does not overlap with merge-conflict-claude.yml or auto-pr-comment @claude chains.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '0 2,8,14,20 * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr_number:
|
||||
description: 'Optional PR number (scan all open internal PRs if empty)'
|
||||
required: false
|
||||
type: string
|
||||
merge_method:
|
||||
description: 'Merge method'
|
||||
required: false
|
||||
type: choice
|
||||
default: merge
|
||||
options:
|
||||
- merge
|
||||
- squash
|
||||
- rebase
|
||||
workflow_run:
|
||||
workflows:
|
||||
- Claude Assistant
|
||||
- Core Tests
|
||||
types:
|
||||
- completed
|
||||
repository_dispatch:
|
||||
types:
|
||||
- claude-merge-gate
|
||||
|
||||
concurrency:
|
||||
group: claude-merge-gate-${{ github.repository }}-${{ github.event.inputs.pr_number || github.event.client_payload.pr_number || github.event.workflow_run.id || 'scan' }}
|
||||
cancel-in-progress: true
|
||||
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN || github.token }}
|
||||
MAX_CANDIDATES: 5
|
||||
DISPATCH_PR_NUMBER: ${{ github.event.inputs.pr_number || github.event.client_payload.pr_number || '' }}
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: read
|
||||
actions: read
|
||||
|
||||
jobs:
|
||||
auto-dispatch:
|
||||
if: github.event_name == 'workflow_run'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: read
|
||||
actions: write
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Dispatch merge gate when PR pipeline is ready
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
PAT: ${{ secrets.GH_TOKEN }}
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const wr = context.payload.workflow_run;
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
|
||||
if (!process.env.PAT) {
|
||||
core.setFailed('GH_TOKEN secret is required for merge gate auto-dispatch (needs repo + workflow scope).');
|
||||
return;
|
||||
}
|
||||
|
||||
if (wr.conclusion !== 'success') {
|
||||
core.info(`Skip dispatch: ${wr.name} conclusion=${wr.conclusion}`);
|
||||
return;
|
||||
}
|
||||
const allowed = ['Claude Assistant', 'Core Tests'];
|
||||
if (!allowed.includes(wr.name)) {
|
||||
core.info(`Skip dispatch: workflow ${wr.name}`);
|
||||
return;
|
||||
}
|
||||
|
||||
const prNumber = await mergeGate.resolvePrNumberFromWorkflowRun(github, owner, repo, wr);
|
||||
if (!prNumber) {
|
||||
core.info('Skip dispatch: could not resolve PR from workflow run');
|
||||
return;
|
||||
}
|
||||
|
||||
const fromClaude = wr.name === 'Claude Assistant';
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, {
|
||||
skipGlobalClaudeRunCheck: fromClaude,
|
||||
skipRecentClaudeCooldown: fromClaude,
|
||||
}
|
||||
);
|
||||
if (!check.ready) {
|
||||
core.info(`PR #${prNumber} not ready: ${check.reasons.join(', ')}`);
|
||||
return;
|
||||
}
|
||||
|
||||
await github.rest.repos.createDispatchEvent({
|
||||
owner,
|
||||
repo,
|
||||
event_type: 'claude-merge-gate',
|
||||
client_payload: { pr_number: prNumber },
|
||||
});
|
||||
core.info(`Dispatched merge gate for PR #${prNumber} after ${wr.name}`);
|
||||
|
||||
scan-candidates:
|
||||
if: github.event_name != 'workflow_run'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
issues: write
|
||||
actions: read
|
||||
outputs:
|
||||
matrix: ${{ steps.scan.outputs.matrix }}
|
||||
has_candidates: ${{ steps.scan.outputs.has_candidates }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Scan open PRs for merge gate eligibility
|
||||
id: scan
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const maxCandidates = parseInt(process.env.MAX_CANDIDATES || '5', 10);
|
||||
const inputPr = String(process.env.DISPATCH_PR_NUMBER || '').trim();
|
||||
|
||||
const candidates = [];
|
||||
const skipped = [];
|
||||
|
||||
if (inputPr) {
|
||||
const n = parseInt(inputPr, 10);
|
||||
if (Number.isNaN(n)) {
|
||||
throw new Error(`Invalid pr_number input: ${inputPr}`);
|
||||
}
|
||||
const result = await mergeGate.evaluatePipelineQuiescent(github, owner, repo, n, core);
|
||||
if (result.ready) {
|
||||
candidates.push({ pr_number: n, head_sha: result.headSha });
|
||||
} else {
|
||||
skipped.push({ pr: n, reasons: result.reasons });
|
||||
}
|
||||
} else {
|
||||
const prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner, repo, state: 'open', per_page: 100, sort: 'created', direction: 'asc',
|
||||
});
|
||||
const prNumbers = prs.map((p) => p.number);
|
||||
const selected = await mergeGate.selectMergeGateCandidates(
|
||||
github, owner, repo, prNumbers, maxCandidates, core
|
||||
);
|
||||
candidates.push(...selected.candidates);
|
||||
skipped.push(...selected.skipped);
|
||||
}
|
||||
|
||||
core.info('Skipped: ' + JSON.stringify(skipped));
|
||||
core.setOutput('matrix', JSON.stringify({ include: candidates }));
|
||||
core.setOutput('has_candidates', candidates.length > 0 ? 'true' : 'false');
|
||||
|
||||
core.summary.addRaw('## Merge gate scan\n');
|
||||
core.summary.addRaw(`Candidates: ${candidates.length}\n`);
|
||||
core.summary.addRaw('```json\n' + JSON.stringify({ candidates, skipped }, null, 2) + '\n```');
|
||||
await core.summary.write();
|
||||
|
||||
if (inputPr && skipped.length === 1 && skipped[0].pr === parseInt(inputPr, 10)) {
|
||||
const reasons = skipped[0].reasons;
|
||||
const body = [
|
||||
'**Merge gate scan** — not eligible for auto-merge.',
|
||||
'',
|
||||
...reasons.map((r) => `- \`${r}\``),
|
||||
'',
|
||||
'**Actions:** wait for CI and the Claude review chain, or add label `needs-manual-review` and merge manually.',
|
||||
'**Opt out:** label `no-auto-merge`.',
|
||||
].join('\n');
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: skipped[0].pr, body,
|
||||
});
|
||||
} else if (inputPr && candidates.length === 1) {
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: candidates[0].pr_number,
|
||||
body: '**Merge gate scan** — eligible for assessment. Claude merge gate will assess and may auto-merge if `MERGE_GATE_VERDICT: APPROVE`.',
|
||||
});
|
||||
}
|
||||
|
||||
await ps.syncOpenPullRequests(github, owner, repo, { maxPrs: 20 }, core);
|
||||
|
||||
claude-assess:
|
||||
needs: scan-candidates
|
||||
if: needs.scan-candidates.outputs.has_candidates == 'true'
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 20
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix: ${{ fromJson(needs.scan-candidates.outputs.matrix) }}
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: read
|
||||
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 }}
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
token: ${{ steps.app-token.outputs.token }}
|
||||
|
||||
- name: Mark merge gate active
|
||||
id: mark_active
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
core.setOutput('started_at', new Date().toISOString());
|
||||
await github.rest.issues.addLabels({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
issue_number: ${{ matrix.pr_number }},
|
||||
labels: ['claude-merge-gate-active'],
|
||||
});
|
||||
|
||||
- name: Stash merge gate helpers
|
||||
run: cp .github/scripts/merge-gate.js /tmp/merge-gate.js
|
||||
|
||||
- name: Fetch PR branch
|
||||
env:
|
||||
PR_NUMBER: ${{ matrix.pr_number }}
|
||||
run: |
|
||||
git fetch origin "pull/${PR_NUMBER}/head:pr-${PR_NUMBER}"
|
||||
git checkout "pr-${PR_NUMBER}"
|
||||
|
||||
- name: Claude merge gate assessment (read-only)
|
||||
id: assess
|
||||
continue-on-error: true
|
||||
uses: ./.github/actions/claude-code-action
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.app-token.outputs.token }}
|
||||
CLAUDE_CODE_SUBAGENT_MODEL: inherit
|
||||
ANTHROPIC_DEFAULT_SONNET_MODEL: claude-sonnet-4-6
|
||||
with:
|
||||
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
|
||||
github_token: ${{ steps.app-token.outputs.token }}
|
||||
model: claude-opus-4-8
|
||||
trigger_phrase: '@claude-merge-gate-internal'
|
||||
direct_prompt: |
|
||||
You are the MERGE GATE reviewer for PraisonAI PR #${{ matrix.pr_number }}.
|
||||
READ-ONLY: do not modify code, commit, push, rebase, or create branches.
|
||||
|
||||
CRITICAL OUTPUT RULE:
|
||||
Post exactly one PR comment via GitHub MCP containing either:
|
||||
MERGE_GATE_VERDICT: APPROVE
|
||||
or
|
||||
MERGE_GATE_VERDICT: BLOCK
|
||||
followed by a short rationale on the next lines.
|
||||
|
||||
NEVER include @claude in any comment. NEVER mention merge conflict resolution.
|
||||
|
||||
Review checklist:
|
||||
1. Read AGENTS.md and the PR diff on the current branch.
|
||||
2. Read all PR comments and reviews (FINAL architecture reviewer / Lead Engineer must have run).
|
||||
3. Confirm SDK value gate: change strengthens praisonaiagents (no scope creep).
|
||||
4. Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
|
||||
5. If agent.py adds >100 lines or new Agent __init__ params, respond MERGE_GATE_VERDICT: BLOCK (manual review required).
|
||||
6. BLOCK if labels security/breaking-change/needs-manual-review/release, sensitive paths (.github/workflows, auth, pyproject.toml), secrets in diff, PR >800 lines or >30 files, or SDK changes without tests. Label `merge-gate-ci-only` exempts CI-only changes under `.github/workflows/`, `.github/actions/`, or merge-gate scripts.
|
||||
7. Confirm no CHANGES_REQUESTED reviews and CI green on HEAD ${{ matrix.head_sha }}.
|
||||
8. If ready to merge: MERGE_GATE_VERDICT: APPROVE. Otherwise: MERGE_GATE_VERDICT: BLOCK with reasons.
|
||||
|
||||
Do not approve or merge via GitHub UI/API — only post the verdict comment.
|
||||
disallowed_tools: |
|
||||
Bash
|
||||
Edit
|
||||
Write
|
||||
Replace
|
||||
allowed_tools: |
|
||||
View
|
||||
GlobTool
|
||||
GrepTool
|
||||
Read
|
||||
timeout_minutes: 15
|
||||
|
||||
- name: Post fallback verdict if Claude did not comment
|
||||
id: fallback_verdict
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const mergeGate = require('/tmp/merge-gate.js');
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prNumber = ${{ matrix.pr_number }};
|
||||
|
||||
const ctx = await mergeGate.loadPrContext(github, owner, repo, prNumber);
|
||||
const minCreatedAt = new Date(Date.now() - 25 * 60 * 1000).toISOString();
|
||||
const existing = mergeGate.findMergeGateVerdict(ctx.comments, minCreatedAt, ctx.headPushedAt);
|
||||
if (existing) {
|
||||
core.info(`Verdict already posted: ${existing}`);
|
||||
core.setOutput('verdict', existing);
|
||||
return;
|
||||
}
|
||||
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, { forMergeStep: true }
|
||||
);
|
||||
const verdict = check.ready ? 'APPROVE' : 'BLOCK';
|
||||
const lines = [
|
||||
`MERGE_GATE_VERDICT: ${verdict}`,
|
||||
'',
|
||||
'Automated fallback — Claude assess did not post a verdict comment (e.g. GitHub MCP unavailable).',
|
||||
];
|
||||
if (check.ready) {
|
||||
lines.push('All deterministic merge gates passed.');
|
||||
} else {
|
||||
lines.push('Blockers:', ...check.reasons.map((r) => `- ${r}`));
|
||||
}
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: prNumber,
|
||||
body: lines.join('\n'),
|
||||
});
|
||||
core.info(`Posted fallback verdict: ${verdict}`);
|
||||
core.setOutput('verdict', verdict);
|
||||
|
||||
- name: Verify verdict posted
|
||||
id: verdict
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const mergeGate = require('/tmp/merge-gate.js');
|
||||
const comments = await mergeGate.listAllComments(
|
||||
github, context.repo.owner, context.repo.repo, ${{ matrix.pr_number }}
|
||||
);
|
||||
const ctx = await mergeGate.loadPrContext(
|
||||
github, context.repo.owner, context.repo.repo, ${{ matrix.pr_number }}
|
||||
);
|
||||
const minCreatedAt = new Date(Date.now() - 25 * 60 * 1000).toISOString();
|
||||
const verdict = mergeGate.findMergeGateVerdict(comments, minCreatedAt, ctx.headPushedAt);
|
||||
core.setOutput('verdict', verdict || 'NONE');
|
||||
if (!verdict) core.warning('No recent MERGE_GATE_VERDICT comment found after assessment');
|
||||
|
||||
- name: Remove merge gate active label
|
||||
if: always()
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const prNumber = ${{ matrix.pr_number }};
|
||||
try {
|
||||
await github.rest.issues.removeLabel({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
issue_number: prNumber,
|
||||
name: 'claude-merge-gate-active',
|
||||
});
|
||||
core.info(`Removed claude-merge-gate-active from PR #${prNumber}`);
|
||||
} catch (e) {
|
||||
core.info(`Label claude-merge-gate-active already removed or missing on PR #${prNumber}`);
|
||||
}
|
||||
|
||||
- name: Fail job if assessment failed
|
||||
if: steps.assess.outcome == 'failure'
|
||||
run: exit 1
|
||||
|
||||
merge-only:
|
||||
needs: [scan-candidates, claude-assess]
|
||||
if: |
|
||||
always() &&
|
||||
needs.scan-candidates.outputs.has_candidates == 'true' &&
|
||||
needs.claude-assess.result == 'success'
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix: ${{ fromJson(needs.scan-candidates.outputs.matrix) }}
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
issues: write
|
||||
actions: read
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Re-check gates and merge
|
||||
uses: actions/github-script@v7
|
||||
env:
|
||||
MERGE_METHOD: ${{ github.event.inputs.merge_method || 'merge' }}
|
||||
SCAN_HEAD_SHA: ${{ matrix.head_sha }}
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prNumber = ${{ matrix.pr_number }};
|
||||
const scanHeadSha = process.env.SCAN_HEAD_SHA;
|
||||
|
||||
const removeLabels = async () => {
|
||||
try {
|
||||
await github.rest.issues.removeLabel({
|
||||
owner, repo, issue_number: prNumber, name: 'claude-merge-gate-active',
|
||||
});
|
||||
} catch (e) {
|
||||
core.info('Label claude-merge-gate-active already removed or missing');
|
||||
}
|
||||
};
|
||||
|
||||
try {
|
||||
const ctx = await mergeGate.loadPrContext(github, owner, repo, prNumber);
|
||||
const comments = ctx.comments;
|
||||
const verdictMin = new Date(Date.now() - 25 * 60 * 1000).toISOString();
|
||||
const verdict = mergeGate.findMergeGateVerdict(comments, verdictMin, ctx.headPushedAt);
|
||||
if (verdict !== 'APPROVE') {
|
||||
core.info(`Skip merge: verdict=${verdict || 'NONE'}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, { forMergeStep: true }
|
||||
);
|
||||
if (!check.ready) {
|
||||
core.info(`Skip merge: ${check.reasons.join(', ')}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
if (check.headSha !== scanHeadSha) {
|
||||
core.info(`Skip merge: HEAD moved ${scanHeadSha.slice(0, 7)} → ${check.headSha.slice(0, 7)}`);
|
||||
await removeLabels();
|
||||
return;
|
||||
}
|
||||
|
||||
const method = process.env.MERGE_METHOD || 'merge';
|
||||
await github.rest.pulls.merge({
|
||||
owner, repo, pull_number: prNumber, merge_method: method,
|
||||
});
|
||||
|
||||
await github.rest.issues.addLabels({
|
||||
owner, repo, issue_number: prNumber, labels: ['auto-merged-by-gate'],
|
||||
});
|
||||
|
||||
await github.rest.issues.createComment({
|
||||
owner, repo, issue_number: prNumber,
|
||||
body: [
|
||||
'Merged by **Claude PR merge gate** (`claude-merge-gate.yml`).',
|
||||
`Verdict: MERGE_GATE_VERDICT: APPROVE`,
|
||||
`SHA: \`${check.headSha.slice(0, 7)}\``,
|
||||
`Method: ${method}`,
|
||||
].join('\n'),
|
||||
});
|
||||
|
||||
core.info(`Merged PR #${prNumber}`);
|
||||
} finally {
|
||||
await removeLabels();
|
||||
}
|
||||
+103
-338
@@ -6,316 +6,35 @@ on:
|
||||
pull_request_review_comment:
|
||||
types: [created]
|
||||
issues:
|
||||
types: [assigned, labeled, opened]
|
||||
types: [opened, assigned, labeled]
|
||||
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
|
||||
# Prevent certain bots from triggering this action (but allow github-actions[bot] for auto-comments)
|
||||
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')) &&
|
||||
(github.event_name != 'pull_request_review' || contains(github.event.review.body, '@claude')) &&
|
||||
(github.event_name != 'pull_request_review_comment' || contains(github.event.comment.body, '@claude')) &&
|
||||
(
|
||||
!contains(github.actor, '[bot]') ||
|
||||
github.actor == 'github-actions[bot]' ||
|
||||
github.actor == 'praisonai-triage-agent[bot]'
|
||||
) &&
|
||||
github.actor != 'dependabot[bot]' &&
|
||||
github.actor != 'cursor[bot]' &&
|
||||
github.actor != 'renovate[bot]'
|
||||
github.actor != 'renovate[bot]' &&
|
||||
!(contains(github.actor, '[bot]') && github.actor != 'github-actions[bot]')
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
issues: write
|
||||
actions: read
|
||||
id-token: write
|
||||
steps:
|
||||
- name: 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: Check for Fork PR
|
||||
id: check_fork
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ steps.app-token.outputs.token }}
|
||||
script: |
|
||||
const isPR = context.eventName === 'pull_request'
|
||||
|| context.eventName === 'pull_request_review'
|
||||
|| context.eventName === 'pull_request_review_comment'
|
||||
|| (context.payload.issue && context.payload.issue.pull_request);
|
||||
|
||||
if (!isPR) {
|
||||
core.setOutput('is_pr', 'false');
|
||||
core.setOutput('is_fork', 'false');
|
||||
core.setOutput('can_push_fork', 'false');
|
||||
return;
|
||||
}
|
||||
|
||||
const prNumber = context.payload.pull_request
|
||||
? context.payload.pull_request.number
|
||||
: context.payload.issue.number;
|
||||
const pr = await github.rest.pulls.get({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
pull_number: prNumber
|
||||
});
|
||||
|
||||
let mergeState = '';
|
||||
try {
|
||||
const gql = await github.graphql(
|
||||
`query($owner: String!, $repo: String!, $number: Int!) {
|
||||
repository(owner: $owner, name: $repo) {
|
||||
pullRequest(number: $number) { mergeStateStatus }
|
||||
}
|
||||
}`,
|
||||
{ owner: context.repo.owner, repo: context.repo.repo, number: prNumber }
|
||||
);
|
||||
mergeState = (gql.repository.pullRequest.mergeStateStatus || '').toUpperCase();
|
||||
} catch (e) {
|
||||
core.warning(`GraphQL mergeStateStatus failed: ${e.message}`);
|
||||
}
|
||||
if (!mergeState) {
|
||||
mergeState = (pr.data.mergeable_state || pr.data.merge_state_status || '').toUpperCase();
|
||||
}
|
||||
|
||||
core.setOutput('is_pr', 'true');
|
||||
core.setOutput('pr_number', String(prNumber));
|
||||
core.setOutput('pr_branch', pr.data.head.ref);
|
||||
core.setOutput('head_repo', pr.data.head.repo.full_name);
|
||||
core.setOutput('merge_state', mergeState);
|
||||
|
||||
const baseRepo = `${context.repo.owner}/${context.repo.repo}`;
|
||||
const maintainerCanModify = pr.data.maintainer_can_modify === true;
|
||||
core.setOutput('maintainer_can_modify', String(maintainerCanModify));
|
||||
|
||||
if (pr.data.head.repo && pr.data.head.repo.full_name !== baseRepo) {
|
||||
core.setOutput('is_fork', 'true');
|
||||
core.setOutput('can_push_fork', String(maintainerCanModify));
|
||||
core.setOutput('fork_repo', pr.data.head.repo.full_name);
|
||||
core.setOutput('clone_url', pr.data.head.repo.clone_url);
|
||||
core.setOutput('branch', pr.data.head.ref);
|
||||
return;
|
||||
}
|
||||
core.setOutput('is_fork', 'false');
|
||||
core.setOutput('can_push_fork', 'false');
|
||||
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
fetch-depth: 0
|
||||
token: ${{ steps.app-token.outputs.token }}
|
||||
|
||||
- name: Fetch PR branch and Setup Remote
|
||||
if: steps.check_fork.outputs.is_pr == 'true'
|
||||
env:
|
||||
PR_BRANCH: ${{ steps.check_fork.outputs.pr_branch }}
|
||||
PR_NUMBER: ${{ steps.check_fork.outputs.pr_number }}
|
||||
IS_FORK: ${{ steps.check_fork.outputs.is_fork }}
|
||||
CAN_PUSH_FORK: ${{ steps.check_fork.outputs.can_push_fork }}
|
||||
FORK_REPO: ${{ steps.check_fork.outputs.fork_repo }}
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
run: |
|
||||
git fetch origin "pull/${PR_NUMBER}/head:${PR_BRANCH}"
|
||||
git checkout "${PR_BRANCH}"
|
||||
git fetch origin main
|
||||
|
||||
if [ "${IS_FORK}" = "true" ] && [ "${CAN_PUSH_FORK}" = "true" ]; then
|
||||
git remote set-url origin "https://x-access-token:${GH_TOKEN}@github.com/${FORK_REPO}.git"
|
||||
elif [ "${IS_FORK}" = "true" ]; then
|
||||
# Block push: trick claude-code-action's `git fetch origin <branch>`
|
||||
git remote set-url origin "file://$(pwd)"
|
||||
fi
|
||||
|
||||
|
||||
- uses: anthropics/claude-code-action@beta
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.check_fork.outputs.can_push_fork == 'true' && secrets.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 }}
|
||||
model: claude-opus-4-8
|
||||
claude_code_oauth_token: ${{ secrets.CLAUDE_ACCESS_TOKEN }}
|
||||
github_token: ${{ secrets.GITHUB_TOKEN }}
|
||||
trigger_phrase: "@claude"
|
||||
label_trigger: "claude"
|
||||
|
||||
direct_prompt: |
|
||||
${{ steps.check_fork.outputs.is_fork == 'true' && steps.check_fork.outputs.can_push_fork != 'true' && 'CRITICAL: THIS IS A PULL REQUEST FROM A FORK WITHOUT MAINTAINER EDITS. YOU DO NOT HAVE PUSH PERMISSIONS. ONLY READ FILES, VALIDATE CODE, AND PROVIDE COMMENTS/FEEDBACK ON THIS PR. DO NOT ATTEMPT TO PUSH OR CREATE PULL REQUESTS.\n\n' || (steps.check_fork.outputs.can_push_fork == 'true' && format('NOTE: Fork PR with maintainer edits allowed. Push directly to fork {0} branch {1}.\n\n', steps.check_fork.outputs.fork_repo, steps.check_fork.outputs.pr_branch) || (steps.check_fork.outputs.is_pr == 'true' && steps.check_fork.outputs.is_fork != 'true' && 'NOTE: The branch is under MervinPraison/PraisonAI (not a fork). You are able to make modifications and push directly to this branch.\n\n' || (steps.check_fork.outputs.is_pr != 'true' && 'NOTE: This is an issue (not a PR). Create a new fix branch per STEP 3 below.\n\n' || ''))) }}
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && format('CONTEXT: PR #{0} on branch {1}. head.repo={2}, is_fork={3}, can_push_fork={4}, merge_state={5}. NEVER treat cursor/*, claude/* branch names or bot authors as forks — only is_fork=true means fork.\n\n', steps.check_fork.outputs.pr_number, steps.check_fork.outputs.pr_branch, steps.check_fork.outputs.head_repo, steps.check_fork.outputs.is_fork, steps.check_fork.outputs.can_push_fork, steps.check_fork.outputs.merge_state) || '' }}
|
||||
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.
|
||||
SCOPE: Focus ONLY on Python packages (praisonaiagents, praisonai). Do NOT modify or touch praisonai-rust or praisonai-ts packages.
|
||||
|
||||
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).
|
||||
- Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.
|
||||
- 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. PRs with >100 lines added to agent.py require manual review (merge gate will not auto-merge).
|
||||
- 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.
|
||||
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && (steps.check_fork.outputs.is_fork != 'true' || steps.check_fork.outputs.can_push_fork == 'true') && steps.check_fork.outputs.merge_state == 'DIRTY' && format('STEP 3 — RESOLVE MERGE CONFLICTS ON PR (branch: {0}, PR #{1}{2}):\n- DO NOT create a new branch or PR\n- git fetch origin main && git rebase origin/main\n- Resolve conflicts: keep this PR intent, merge in main newer logic\n- git add -A && git rebase --continue (repeat until done)\n- git push --force-with-lease origin {0}\n- Run targeted pytest on changed paths\n- Comment files resolved and what you skipped\n', steps.check_fork.outputs.pr_branch, steps.check_fork.outputs.pr_number, steps.check_fork.outputs.can_push_fork == 'true' && format(', fork: {0}', steps.check_fork.outputs.fork_repo) || '') || '' }}
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && (steps.check_fork.outputs.is_fork != 'true' || steps.check_fork.outputs.can_push_fork == 'true') && steps.check_fork.outputs.merge_state != 'DIRTY' && format('STEP 3 — IMPLEMENT ON EXISTING PR (branch: {0}, PR #{1}{2}):\n- DO NOT create a new branch or PR\n- git checkout {0}\n- Implement minimal, focused fixes from reviewer feedback\n- Follow protocol-driven design: protocols in core SDK, heavy implementations in wrapper\n- Keep changes small and backward-compatible\n- Commit: git add -A && git commit -m "fix: <description>"\n- Push: git push origin {0}\n- Comment a summary of exact files modified and what you skipped\n', steps.check_fork.outputs.pr_branch, steps.check_fork.outputs.pr_number, steps.check_fork.outputs.can_push_fork == 'true' && format(', fork: {0}', steps.check_fork.outputs.fork_repo) || '') || '' }}
|
||||
${{ steps.check_fork.outputs.is_pr != 'true' && 'STEP 3 — IMPLEMENT (for changes in THIS repo — PraisonAI):\n- Create a fix branch: git checkout -b claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)\n- Implement a minimal, focused fix\n- Follow protocol-driven design: protocols in core SDK, heavy implementations in wrapper\n- Keep changes small and backward-compatible\n- Commit: git add -A && git commit -m "fix: <description> (fixes #$ISSUE_NUMBER)"\n- Push: git push origin claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)\nCRITICAL: After pushing, you MUST immediately run: gh pr create --title "fix: <title>" --body "Fixes #$ISSUE_NUMBER" --head claude/issue-$ISSUE_NUMBER-$(date +%Y%m%d)\nDo NOT stop after pushing. Do NOT say "manually create a PR". Always create the PR automatically.\n' || '' }}
|
||||
|
||||
STEP 3-ALT — IMPLEMENT IN EXTERNAL REPO (for PraisonAI-Tools, PraisonAIDocs, PraisonAI-Plugins):
|
||||
When work must happen in a different repository, follow these steps EXACTLY. Do NOT attempt to use `cd`, as directory state is not preserved. Use `git -C` for all commands.
|
||||
a) Clone the repository:
|
||||
gh repo clone MervinPraison/<REPO_NAME> /tmp/<REPO_NAME>
|
||||
b) Copy GitHub authentication from the main repository so push works seamlessly:
|
||||
git -C /tmp/<REPO_NAME> config http."https://github.com/".extraheader "$(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
|
||||
|
||||
${{ steps.check_fork.outputs.is_pr == 'true' && 'STEP 5 — SKIP: Already on an open PR. Do NOT run gh pr create.\n' || 'STEP 5 — CREATE PR:\n- Commit with descriptive message, push, and create PR using `gh pr create`\n- For external repos, use `gh pr create -R MervinPraison/<REPO_NAME>`\nCRITICAL: You MUST create the PR automatically using `gh pr create`. Do NOT just provide a link or say "manual push required".\n' }}
|
||||
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:*)
|
||||
@@ -337,59 +56,105 @@ jobs:
|
||||
mcp__github__update_issue
|
||||
timeout_minutes: 30
|
||||
|
||||
- name: Kick review chain for bot-created PR
|
||||
if: |
|
||||
steps.check_fork.outputs.is_pr != 'true' &&
|
||||
(github.event_name == 'issues' || github.event_name == 'issue_comment') &&
|
||||
github.event.issue != null
|
||||
post-review-comment:
|
||||
needs: claude-response
|
||||
if: success() && needs.claude-response.result == 'success'
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: write
|
||||
issues: write
|
||||
steps:
|
||||
- name: Check for existing review comment
|
||||
id: check-comment
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const chain = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/bot-pr-review-chain.js'));
|
||||
const issueNumber = context.payload.issue.number;
|
||||
await chain.kickReviewChainForIssue(
|
||||
github, context.repo.owner, context.repo.repo, issueNumber, core
|
||||
);
|
||||
|
||||
- name: Sync pipeline status labels for PR
|
||||
if: steps.check_fork.outputs.is_pr == 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
const prNumber = parseInt('${{ steps.check_fork.outputs.pr_number }}', 10);
|
||||
await ps.ensurePipelineLabels(github, context.repo.owner, context.repo.repo, core);
|
||||
await ps.syncPipelineLabels(github, context.repo.owner, context.repo.repo, prNumber, core);
|
||||
|
||||
- name: Dispatch merge gate when PR pipeline ready
|
||||
if: steps.check_fork.outputs.is_pr == 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const mergeGate = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/merge-gate.js'));
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const prNumber = parseInt('${{ steps.check_fork.outputs.pr_number }}', 10);
|
||||
const check = await mergeGate.evaluatePipelineQuiescent(
|
||||
github, owner, repo, prNumber, core, {
|
||||
skipGlobalClaudeRunCheck: true,
|
||||
skipRecentClaudeCooldown: true,
|
||||
const reviewText = '@claude review if the changes made in the above branch are as per the requirements and make changes to the above branch if issues still exist.';
|
||||
let comments = [];
|
||||
let issueNumber;
|
||||
|
||||
try {
|
||||
// Determine issue/PR number based on event type
|
||||
if (context.eventName === 'pull_request_review_comment' || context.eventName === 'pull_request_review') {
|
||||
issueNumber = context.payload.pull_request?.number || context.issue.number;
|
||||
} else if (context.eventName === 'issue_comment' && context.payload.issue.pull_request) {
|
||||
// This is a comment on a PR (not an issue)
|
||||
issueNumber = context.payload.issue.number;
|
||||
} else {
|
||||
// This is a regular issue
|
||||
issueNumber = context.issue.number;
|
||||
}
|
||||
);
|
||||
if (!check.ready) {
|
||||
core.info(`PR #${prNumber} not ready for merge gate: ${check.reasons.join(', ')}`);
|
||||
return;
|
||||
|
||||
comments = await github.rest.issues.listComments({
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
issue_number: issueNumber
|
||||
});
|
||||
|
||||
// Look for Claude's completed review comments
|
||||
const claudeReviewComments = comments.data.filter(comment =>
|
||||
(comment.user.login === 'claude[bot]' || comment.body.includes('✅') || comment.body.includes('## Summary')) &&
|
||||
!comment.body.includes('⏳') &&
|
||||
!comment.body.includes('🔄') &&
|
||||
!comment.body.includes('Loading...')
|
||||
);
|
||||
|
||||
// Check if our review request comment already exists
|
||||
const existingReviewRequest = comments.data.find(comment =>
|
||||
comment.body.includes(reviewText)
|
||||
);
|
||||
|
||||
// Post if Claude has completed a review AND we haven't posted the review request yet
|
||||
const shouldPost = claudeReviewComments.length > 0 && !existingReviewRequest;
|
||||
core.setOutput('should-post', shouldPost);
|
||||
console.log(`Claude review completed: ${claudeReviewComments.length > 0}`);
|
||||
console.log(`Review request exists: ${!!existingReviewRequest}`);
|
||||
console.log(`Should post comment: ${shouldPost}`);
|
||||
|
||||
} catch (error) {
|
||||
console.log('Error checking comments:', error);
|
||||
core.setOutput('should-post', false); // If we can't check, don't post
|
||||
}
|
||||
await github.rest.repos.createDispatchEvent({
|
||||
owner,
|
||||
repo,
|
||||
event_type: 'claude-merge-gate',
|
||||
client_payload: { pr_number: prNumber },
|
||||
});
|
||||
core.info(`Dispatched merge gate for PR #${prNumber}`);
|
||||
|
||||
- name: Wait 30 seconds before posting comment
|
||||
if: steps.check-comment.outputs.should-post == 'true'
|
||||
run: sleep 30
|
||||
|
||||
- name: Post review comment
|
||||
if: steps.check-comment.outputs.should-post == 'true'
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
let issueNumber;
|
||||
let isPR = false;
|
||||
|
||||
// Determine issue/PR number and type based on event type
|
||||
if (context.eventName === 'pull_request_review_comment' || context.eventName === 'pull_request_review') {
|
||||
issueNumber = context.payload.pull_request?.number || context.issue.number;
|
||||
isPR = true;
|
||||
} else if (context.eventName === 'issue_comment' && context.payload.issue.pull_request) {
|
||||
// This is a comment on a PR (not an issue)
|
||||
issueNumber = context.payload.issue.number;
|
||||
isPR = true;
|
||||
} else {
|
||||
// This is a regular issue - don't post review comment
|
||||
issueNumber = context.issue.number;
|
||||
isPR = false;
|
||||
}
|
||||
|
||||
// Only post review comment on PRs, not regular issues
|
||||
if (isPR) {
|
||||
console.log(`Posting review comment on PR #${issueNumber}`);
|
||||
|
||||
await github.rest.issues.createComment({
|
||||
issue_number: issueNumber,
|
||||
owner: context.repo.owner,
|
||||
repo: context.repo.repo,
|
||||
body: '@claude review if the changes made in the above branch are as per the requirements and make changes to the above branch if issues still exist. MAINLY IT SHOULD NOT IMPACT ON THE CURRENT SPEED OF EXECUTION of existing features, not increasing the overhead.'
|
||||
});
|
||||
} else {
|
||||
console.log(`Skipping review comment for regular issue #${issueNumber}`);
|
||||
}
|
||||
@@ -0,0 +1,62 @@
|
||||
name: Run tests and upload coverage
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ main, develop ]
|
||||
pull_request:
|
||||
branches: [ main, develop ]
|
||||
|
||||
jobs:
|
||||
test:
|
||||
name: Run tests and collect coverage
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 15
|
||||
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 2
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: 3.11
|
||||
|
||||
- name: Install UV
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-cov pytest-asyncio
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}" >> $GITHUB_ENV
|
||||
echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
|
||||
- name: Run tests
|
||||
run: |
|
||||
cd src/praisonai
|
||||
# Run tests - allow some failures for now while we fix remaining issues
|
||||
pytest --cov=praisonai --cov-branch --cov-report=xml tests/unit/ --tb=no -q || echo "Some tests failed, but coverage was collected"
|
||||
|
||||
- name: Upload results to Codecov
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
file: src/praisonai/coverage.xml
|
||||
flags: unit-tests
|
||||
name: unit-tests-coverage
|
||||
fail_ci_if_error: false
|
||||
verbose: true
|
||||
@@ -1,52 +0,0 @@
|
||||
name: Deploy install scripts to praison.ai
|
||||
|
||||
# When install.sh or install.ps1 change on main, trigger praison.ai CI which
|
||||
# syncs scripts at build time and deploys to Azure AKS (existing azure-pipeline.yaml).
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main]
|
||||
paths:
|
||||
- 'src/praisonai/scripts/install.sh'
|
||||
- 'src/praisonai/scripts/install.ps1'
|
||||
workflow_dispatch:
|
||||
|
||||
concurrency:
|
||||
group: deploy-install-scripts
|
||||
cancel-in-progress: false
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
trigger-website-deploy:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Trigger praison.ai CI
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.SECRETS_ADMIN_PAT }}
|
||||
SOURCE_SHA: ${{ github.sha }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ -z "${GH_TOKEN:-}" ]; then
|
||||
echo "SECRETS_ADMIN_PAT is not configured in this repository"
|
||||
exit 1
|
||||
fi
|
||||
|
||||
gh workflow run CI \
|
||||
--repo MervinPraison/praison.ai \
|
||||
--ref master
|
||||
|
||||
echo "Triggered praison.ai CI for PraisonAI commit ${SOURCE_SHA}"
|
||||
echo "Monitor: https://github.com/MervinPraison/praison.ai/actions/workflows/azure-pipeline.yaml"
|
||||
|
||||
sleep 10
|
||||
RUN_URL=$(gh run list \
|
||||
--repo MervinPraison/praison.ai \
|
||||
--workflow CI \
|
||||
--limit 1 \
|
||||
--json url,status,createdAt \
|
||||
--jq '.[0].url' 2>/dev/null || true)
|
||||
if [ -n "${RUN_URL}" ]; then
|
||||
echo "Latest praison.ai CI run: ${RUN_URL}"
|
||||
fi
|
||||
@@ -20,8 +20,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
@@ -1,10 +1,8 @@
|
||||
name: Gemini Automated Issue Triage
|
||||
|
||||
# on:
|
||||
# issue_comment:
|
||||
# types: [created]
|
||||
on:
|
||||
workflow_dispatch:
|
||||
issue_comment:
|
||||
types: [created]
|
||||
|
||||
jobs:
|
||||
triage-issue:
|
||||
@@ -35,7 +33,6 @@ jobs:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
token: ${{ steps.generate_token.outputs.token }}
|
||||
|
||||
- name: Run Gemini Issue Triage
|
||||
|
||||
@@ -2,8 +2,8 @@ name: Gemini Issue Review
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
# issue_comment:
|
||||
# types: [created]
|
||||
issue_comment:
|
||||
types: [created]
|
||||
|
||||
permissions:
|
||||
contents: write
|
||||
@@ -20,8 +20,7 @@ jobs:
|
||||
!contains(github.event.comment.body, '@gemini triage') &&
|
||||
(github.event.comment.author_association == 'OWNER' ||
|
||||
github.event.comment.author_association == 'MEMBER' ||
|
||||
github.event.comment.author_association == 'COLLABORATOR' ||
|
||||
github.event.comment.author_association == 'CONTRIBUTOR'))
|
||||
github.event.comment.author_association == 'COLLABORATOR'))
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
|
||||
@@ -36,13 +35,12 @@ jobs:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
token: ${{ steps.generate_token.outputs.token }}
|
||||
|
||||
- name: Set up Git
|
||||
run: |
|
||||
git config --local user.email "[email protected].github.com"
|
||||
git config --local user.name "MervinPraison"
|
||||
git config --local user.email "gemini-bot@github.com"
|
||||
git config --local user.name "Gemini Bot"
|
||||
|
||||
- name: Get issue data
|
||||
id: issue_data
|
||||
@@ -77,16 +75,16 @@ jobs:
|
||||
echo "ADDITIONAL_INSTRUCTIONS=$ADDITIONAL_INSTRUCTIONS" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Run Gemini CLI
|
||||
uses: google-github-actions/run-gemini-cli@v0
|
||||
uses: ./.github/actions/gemini
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.generate_token.outputs.token }}
|
||||
GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
|
||||
ISSUE_NUMBER: ${{ steps.issue_data.outputs.ISSUE_NUMBER }}
|
||||
ADDITIONAL_INSTRUCTIONS: ${{ steps.issue_data.outputs.ADDITIONAL_INSTRUCTIONS }}
|
||||
REPOSITORY: ${{ github.repository }}
|
||||
with:
|
||||
gemini_api_key: ${{ secrets.GEMINI_API_KEY }}
|
||||
gemini_model: 'gemini-2.5-flash'
|
||||
GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
|
||||
OTLP_GCP_WIF_PROVIDER: ${{ secrets.OTLP_GCP_WIF_PROVIDER }}
|
||||
OTLP_GOOGLE_CLOUD_PROJECT: ${{ secrets.OTLP_GOOGLE_CLOUD_PROJECT }}
|
||||
prompt: |
|
||||
You are a helpful GitHub issue assistant. Your task is to analyze and help with GitHub issues.
|
||||
|
||||
@@ -105,8 +103,6 @@ jobs:
|
||||
- Search codebase for related files using `glob`, `search_file_content`, `list_directory`
|
||||
|
||||
**STEP 2: If Code Changes Are Needed**
|
||||
MANDATORY FIRST STEP: Before writing any code, you MUST use `read_file` to carefully read "src/praisonai-agents/AGENTS.md". You must honor this repository's extremely specific Architecture, Protocol-First design rules, and Agent-Centric Philosophy!
|
||||
|
||||
Create a new branch with 'gemini/' prefix:
|
||||
- Use: `git checkout -b gemini/issue-${ISSUE_NUMBER}-description`
|
||||
- Example: `git checkout -b gemini/issue-123-fix-sequential-tools`
|
||||
@@ -165,7 +161,7 @@ jobs:
|
||||
|
||||
Please proceed with helping resolve this issue following this exact workflow.
|
||||
|
||||
settings: |
|
||||
settings_json: |
|
||||
{
|
||||
"coreTools": [
|
||||
"run_shell_command(echo)",
|
||||
@@ -197,5 +193,10 @@ jobs:
|
||||
"web_fetch",
|
||||
"google_web_search",
|
||||
"save_memory"
|
||||
]
|
||||
],
|
||||
"telemetry": {
|
||||
"enabled": false,
|
||||
"otlpGcpWifProvider": "${{ secrets.OTLP_GCP_WIF_PROVIDER }}",
|
||||
"googleCloudProject": "${{ secrets.OTLP_GOOGLE_CLOUD_PROJECT }}"
|
||||
}
|
||||
}
|
||||
@@ -1,8 +1,8 @@
|
||||
name: Gemini PR Review
|
||||
|
||||
on:
|
||||
# issue_comment:
|
||||
# types: [created]
|
||||
issue_comment:
|
||||
types: [created]
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr_number:
|
||||
@@ -47,7 +47,6 @@ jobs:
|
||||
- name: Checkout PR code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
token: ${{ steps.generate_token.outputs.token }}
|
||||
ref: ${{ steps.checkout_ref.outputs.ref }}
|
||||
fetch-depth: 0
|
||||
@@ -160,8 +159,6 @@ jobs:
|
||||
- Analyze the code changes thoroughly
|
||||
|
||||
**STEP 2: If Code Improvements Are Needed**
|
||||
MANDATORY FIRST STEP: Before writing any code, you MUST use `read_file` to carefully read "src/praisonai-agents/AGENTS.md". You must honor this repository's extremely specific Architecture, Protocol-First design rules, and Agent-Centric Philosophy!
|
||||
|
||||
**IMPORTANT:** DO NOT create a new branch! Work on the EXISTING PR branch.
|
||||
- Use: `git fetch origin` to get latest changes
|
||||
- Get PR branch name: `gh pr view ${PR_NUMBER} --json headRefName`
|
||||
|
||||
@@ -1,158 +0,0 @@
|
||||
name: Cross-Repo Integration Tests
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ main ]
|
||||
paths:
|
||||
- 'src/praisonai/praisonai/integration/**'
|
||||
- 'src/praisonai/tests/integration/test_aiui_*'
|
||||
- 'src/praisonai/pyproject.toml'
|
||||
pull_request:
|
||||
branches: [ main ]
|
||||
paths:
|
||||
- 'src/praisonai/praisonai/integration/**'
|
||||
- 'src/praisonai/tests/integration/test_aiui_*'
|
||||
- 'src/praisonai/pyproject.toml'
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
cross-repo-integration:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 30
|
||||
|
||||
steps:
|
||||
- name: Checkout PraisonAI
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
path: PraisonAI
|
||||
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
|
||||
|
||||
- name: Checkout PraisonAIUI
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
repository: MervinPraison/PraisonAIUI
|
||||
path: PraisonAIUI
|
||||
ref: main
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
# Install PraisonAI packages in development mode
|
||||
cd PraisonAI/src/praisonai-agents
|
||||
pip install -e .
|
||||
cd ../praisonai
|
||||
pip install -e ".[ui,dev]"
|
||||
# Install PraisonAIUI in development mode
|
||||
cd ../../../PraisonAIUI
|
||||
pip install -e .
|
||||
|
||||
- name: Verify versions
|
||||
run: |
|
||||
python -c "import praisonaiagents; print(f'praisonaiagents: {praisonaiagents.__version__}')"
|
||||
python -c "import praisonai; print(f'praisonai: {praisonai.__version__}')"
|
||||
python -c "import praisonaiui; print(f'praisonaiui: {praisonaiui.__version__}')"
|
||||
|
||||
- name: Run PraisonAI integration tests
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
python -m pytest tests/integration/test_aiui_* -v
|
||||
|
||||
- name: Run PraisonAIUI integration tests
|
||||
run: |
|
||||
cd PraisonAIUI
|
||||
if [ -f tests/integration/test_agentic_roundtrip.py ]; then
|
||||
python -m pytest tests/integration/test_agentic_roundtrip.py -v
|
||||
fi
|
||||
if [ -f tests/test_feature_sdk_backends.py ]; then
|
||||
python -m pytest tests/test_feature_sdk_backends.py -v
|
||||
fi
|
||||
|
||||
- name: Test Pattern C CLI
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
# Test that ui-gateway command exists
|
||||
python -m praisonai serve --help | grep ui-gateway
|
||||
|
||||
- name: Test public API exports
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
python -c "from praisonai import run_integrated_gateway; print('✓ run_integrated_gateway imported')"
|
||||
python -c "from praisonai import configure_host; print('✓ configure_host imported')"
|
||||
|
||||
- name: Integration smoke test
|
||||
env:
|
||||
PRAISONAI_TEST_MODE: "1"
|
||||
PYTHONPATH: ${{ github.workspace }}/PraisonAI/src/praisonai:${{ github.workspace }}/PraisonAI/src/praisonai-agents:${{ github.workspace }}/PraisonAIUI
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
python -c "
|
||||
import sys
|
||||
sys.path.insert(0, '.')
|
||||
from praisonai.integration.host_app import configure_host
|
||||
from praisonai import run_integrated_gateway
|
||||
print('✓ Integration imports successful')
|
||||
|
||||
# Test configure_host with new parameters
|
||||
try:
|
||||
configure_host(
|
||||
style='dashboard',
|
||||
context_paths=['AGENTS.md'],
|
||||
title='Test App'
|
||||
)
|
||||
print('✓ configure_host with new parameters works')
|
||||
except Exception as e:
|
||||
print(f'× configure_host failed: {e}')
|
||||
sys.exit(1)
|
||||
"
|
||||
|
||||
# Optional job with API key for agentic tests (if secret is available)
|
||||
agentic-integration:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 30
|
||||
if: ${{ vars.RUN_AGENTIC_TESTS == 'true' }}
|
||||
needs: cross-repo-integration
|
||||
|
||||
steps:
|
||||
- name: Checkout PraisonAI
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
path: PraisonAI
|
||||
ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
|
||||
|
||||
- name: Checkout PraisonAIUI
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
repository: MervinPraison/PraisonAIUI
|
||||
path: PraisonAIUI
|
||||
ref: main
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v4
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
cd PraisonAI/src/praisonai-agents
|
||||
pip install -e .
|
||||
cd ../praisonai
|
||||
pip install -e ".[ui,dev]"
|
||||
cd ../../../PraisonAIUI
|
||||
pip install -e .
|
||||
|
||||
- name: Run agentic integration test
|
||||
env:
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
run: |
|
||||
cd PraisonAI/src/praisonai
|
||||
if [ -n "$OPENAI_API_KEY" ]; then
|
||||
python -m pytest tests/integration/test_aiui_host_agentic.py -v
|
||||
else
|
||||
echo "OPENAI_API_KEY not available, skipping agentic tests"
|
||||
fi
|
||||
@@ -1,184 +0,0 @@
|
||||
name: Auto Merge Conflict → Claude
|
||||
|
||||
# Detects internal PRs with mergeStateStatus=DIRTY and posts @claude to trigger claude.yml.
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main]
|
||||
pull_request:
|
||||
types: [opened, synchronize, reopened]
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: '0 */6 * * *'
|
||||
|
||||
concurrency:
|
||||
group: merge-conflict-scan-${{ github.repository }}
|
||||
cancel-in-progress: true
|
||||
|
||||
env:
|
||||
# PAT posts as MervinPraison so issue_comment triggers claude.yml (GITHUB_TOKEN cannot chain workflows)
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN || github.token }}
|
||||
|
||||
permissions:
|
||||
pull-requests: write
|
||||
issues: write
|
||||
|
||||
jobs:
|
||||
detect-and-trigger:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Detect conflicting PRs and trigger Claude
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ env.GH_TOKEN }}
|
||||
script: |
|
||||
const owner = context.repo.owner;
|
||||
const repo = context.repo.repo;
|
||||
const baseRepo = `${owner}/${repo}`;
|
||||
const COOLDOWN_MS = 12 * 60 * 60 * 1000;
|
||||
const AUTO_ACTORS = ['github-actions[bot]', 'MervinPraison'];
|
||||
const LABEL = 'claude-conflict-pending';
|
||||
const COMMENT_BODY = [
|
||||
'@claude this PR has merge conflicts with `main`.',
|
||||
'Please rebase onto latest `main`, resolve conflicts (keep this PR\'s intent, merge in newer main logic),',
|
||||
'run targeted tests, and force-push with `--force-with-lease`.',
|
||||
'Comment which files you resolved.',
|
||||
'Do not bloat the Agent class with additional params — only if absolutely required; we already support many params.',
|
||||
].join(' ');
|
||||
|
||||
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
|
||||
|
||||
async function getMergeState(prNumber) {
|
||||
const query = `
|
||||
query($owner: String!, $repo: String!, $number: Int!) {
|
||||
repository(owner: $owner, name: $repo) {
|
||||
pullRequest(number: $number) {
|
||||
mergeStateStatus
|
||||
maintainerCanModify
|
||||
isDraft
|
||||
headRef { repository { nameWithOwner } }
|
||||
}
|
||||
}
|
||||
}
|
||||
`;
|
||||
for (let attempt = 0; attempt < 3; attempt++) {
|
||||
const result = await github.graphql(query, { owner, repo, number: prNumber });
|
||||
const prGql = result.repository.pullRequest;
|
||||
const status = (prGql?.mergeStateStatus || '').toUpperCase();
|
||||
if (status && status !== 'UNKNOWN') {
|
||||
return {
|
||||
status,
|
||||
isDraft: prGql.isDraft,
|
||||
headRepo: prGql.headRef?.repository?.nameWithOwner,
|
||||
maintainerCanModify: prGql.maintainerCanModify === true,
|
||||
};
|
||||
}
|
||||
if (attempt < 2) await sleep(10000);
|
||||
}
|
||||
const pr = await github.rest.pulls.get({ owner, repo, pull_number: prNumber });
|
||||
return {
|
||||
status: (pr.data.mergeable_state || '').toUpperCase(),
|
||||
isDraft: pr.data.draft,
|
||||
headRepo: pr.data.head.repo?.full_name,
|
||||
maintainerCanModify: pr.data.maintainer_can_modify === true,
|
||||
};
|
||||
}
|
||||
|
||||
function hasFinalClaudeReviewTrigger(comments) {
|
||||
return comments.some((c) => {
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
if (!body.includes('@claude')) return false;
|
||||
if (body.includes('merge conflict')) return false;
|
||||
return body.includes('final architecture reviewer') || body.includes('lead engineer');
|
||||
});
|
||||
}
|
||||
|
||||
function hasRecentAutoComment(comments) {
|
||||
const cutoff = Date.now() - COOLDOWN_MS;
|
||||
return comments.some((c) => {
|
||||
if (!AUTO_ACTORS.includes(c.user.login)) return false;
|
||||
const body = (c.body || '').toLowerCase();
|
||||
if (!body.includes('@claude') || !body.includes('merge conflict')) return false;
|
||||
return new Date(c.created_at).getTime() > cutoff;
|
||||
});
|
||||
}
|
||||
|
||||
async function processPR(prNumber) {
|
||||
const { status, isDraft, headRepo, maintainerCanModify } = await getMergeState(prNumber);
|
||||
core.info(`PR #${prNumber}: mergeState=${status}, head=${headRepo}, draft=${isDraft}, maintainerCanModify=${maintainerCanModify}`);
|
||||
|
||||
const { data: issue } = await github.rest.issues.get({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
});
|
||||
const labels = issue.labels.map((l) => l.name);
|
||||
|
||||
if (status !== 'DIRTY' && labels.includes(LABEL)) {
|
||||
await github.rest.issues.removeLabel({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
name: LABEL,
|
||||
});
|
||||
core.info(`Removed ${LABEL} from PR #${prNumber}`);
|
||||
}
|
||||
|
||||
if (status !== 'DIRTY') return { skipped: true, reason: 'not dirty' };
|
||||
if (isDraft) return { skipped: true, reason: 'draft' };
|
||||
if (headRepo && headRepo !== baseRepo && !maintainerCanModify) {
|
||||
return { skipped: true, reason: 'fork without maintainer edits' };
|
||||
}
|
||||
if (labels.includes(LABEL)) {
|
||||
return { skipped: true, reason: 'conflict resolution pending' };
|
||||
}
|
||||
|
||||
const { data: comments } = await github.rest.issues.listComments({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
per_page: 100,
|
||||
});
|
||||
if (hasRecentAutoComment(comments)) {
|
||||
return { skipped: true, reason: 'recent auto comment' };
|
||||
}
|
||||
|
||||
if (!hasFinalClaudeReviewTrigger(comments)) {
|
||||
return { skipped: true, reason: 'awaiting final claude review trigger' };
|
||||
}
|
||||
|
||||
await github.rest.issues.addLabels({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
labels: [LABEL],
|
||||
});
|
||||
await github.rest.issues.createComment({
|
||||
owner,
|
||||
repo,
|
||||
issue_number: prNumber,
|
||||
body: COMMENT_BODY,
|
||||
});
|
||||
return { triggered: true };
|
||||
}
|
||||
|
||||
let prNumbers = [];
|
||||
if (context.eventName === 'pull_request') {
|
||||
prNumbers = [context.payload.pull_request.number];
|
||||
} else {
|
||||
const prs = await github.paginate(github.rest.pulls.list, {
|
||||
owner,
|
||||
repo,
|
||||
state: 'open',
|
||||
per_page: 100,
|
||||
});
|
||||
prNumbers = prs.map((p) => p.number);
|
||||
}
|
||||
|
||||
const results = [];
|
||||
for (const num of prNumbers) {
|
||||
results.push({ pr: num, ...(await processPR(num)) });
|
||||
}
|
||||
core.summary.addRaw('```json\n' + JSON.stringify(results, null, 2) + '\n```');
|
||||
await core.summary.write();
|
||||
@@ -1,126 +0,0 @@
|
||||
name: Nightly Release Gate
|
||||
|
||||
# Preflight checks before dispatching PyPI Release (patch bump).
|
||||
# Runs nightly at 00:00 UTC (midnight).
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '0 0 * * *'
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
dry_run:
|
||||
description: 'Run preflight only; do not dispatch pypi-release.yml'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
actions: write
|
||||
|
||||
concurrency:
|
||||
group: nightly-release-gate
|
||||
cancel-in-progress: false
|
||||
|
||||
jobs:
|
||||
preflight:
|
||||
if: github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch'
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
steps:
|
||||
- name: Checkout main
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
|
||||
with:
|
||||
ref: main
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Preflight — path changes and CI green
|
||||
id: preflight
|
||||
run: |
|
||||
set -euo pipefail
|
||||
|
||||
git fetch --tags origin
|
||||
|
||||
LAST_TAG=$(git describe --tags --match 'v*' --abbrev=0 2>/dev/null || true)
|
||||
if [ -z "$LAST_TAG" ]; then
|
||||
echo "No v* tag found — skip automated release (first release must be manual)"
|
||||
echo "should_release=false" >> "$GITHUB_OUTPUT"
|
||||
echo "reason=no_tag" >> "$GITHUB_OUTPUT"
|
||||
exit 0
|
||||
fi
|
||||
|
||||
CHANGED=$(git diff --name-only "${LAST_TAG}" HEAD -- \
|
||||
src/praisonai \
|
||||
src/praisonai-agents || true)
|
||||
|
||||
if [ -z "$CHANGED" ]; then
|
||||
echo "No changes in src/praisonai or src/praisonai-agents since ${LAST_TAG} — skip"
|
||||
echo "should_release=false" >> "$GITHUB_OUTPUT"
|
||||
echo "reason=no_path_changes" >> "$GITHUB_OUTPUT"
|
||||
exit 0
|
||||
fi
|
||||
|
||||
echo "Changes since ${LAST_TAG}:"
|
||||
echo "$CHANGED"
|
||||
|
||||
HEAD_SHA=$(git rev-parse HEAD)
|
||||
echo "main HEAD: ${HEAD_SHA}"
|
||||
|
||||
GREEN_SHA=$(gh run list \
|
||||
--repo "${GITHUB_REPOSITORY}" \
|
||||
--workflow "Core Tests" \
|
||||
--branch main \
|
||||
--status success \
|
||||
--json headSha \
|
||||
--jq '.[0].headSha // empty')
|
||||
|
||||
if [ "$GREEN_SHA" != "$HEAD_SHA" ]; then
|
||||
echo "main@${HEAD_SHA} is not covered by a green Core Tests run (last green: ${GREEN_SHA:-none}) — skip"
|
||||
echo "should_release=false" >> "$GITHUB_OUTPUT"
|
||||
echo "reason=ci_not_green" >> "$GITHUB_OUTPUT"
|
||||
exit 0
|
||||
fi
|
||||
|
||||
IN_PROGRESS=$(gh run list \
|
||||
--repo "${GITHUB_REPOSITORY}" \
|
||||
--workflow "Core Tests" \
|
||||
--branch main \
|
||||
--json headSha,status \
|
||||
--jq "[.[] | select(.headSha == \"${HEAD_SHA}\" and .status == \"in_progress\")] | length")
|
||||
|
||||
if [ "${IN_PROGRESS:-0}" != "0" ]; then
|
||||
echo "Core Tests still in progress on ${HEAD_SHA} — skip"
|
||||
echo "should_release=false" >> "$GITHUB_OUTPUT"
|
||||
echo "reason=ci_in_progress" >> "$GITHUB_OUTPUT"
|
||||
exit 0
|
||||
fi
|
||||
|
||||
echo "Preflight passed — ready to dispatch patch release"
|
||||
echo "should_release=true" >> "$GITHUB_OUTPUT"
|
||||
echo "reason=ready" >> "$GITHUB_OUTPUT"
|
||||
echo "last_tag=${LAST_TAG}" >> "$GITHUB_OUTPUT"
|
||||
echo "head_sha=${HEAD_SHA}" >> "$GITHUB_OUTPUT"
|
||||
|
||||
- name: Dry run summary
|
||||
if: inputs.dry_run == true
|
||||
run: |
|
||||
echo "Dry run — preflight only, no pypi-release dispatch."
|
||||
echo "should_release=${{ steps.preflight.outputs.should_release }}"
|
||||
echo "reason=${{ steps.preflight.outputs.reason }}"
|
||||
if [ "${{ steps.preflight.outputs.should_release }}" = "true" ]; then
|
||||
echo "Would dispatch: pypi-release.yml bump=patch source=nightly"
|
||||
fi
|
||||
|
||||
- name: Dispatch PyPI Release (patch)
|
||||
if: steps.preflight.outputs.should_release == 'true' && inputs.dry_run != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
gh workflow run pypi-release.yml \
|
||||
--repo "${GITHUB_REPOSITORY}" \
|
||||
--ref main \
|
||||
-f bump=patch \
|
||||
-f source=nightly \
|
||||
-f dry_run=false
|
||||
echo "Dispatched pypi-release.yml (patch, source=nightly)"
|
||||
echo "Approve the pypi environment when prompted."
|
||||
@@ -1,31 +0,0 @@
|
||||
name: Pipeline Status Sync
|
||||
|
||||
# Sync pipeline/* stage and blocker labels on open internal PRs.
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '*/15 * * * *'
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
pull-requests: read
|
||||
issues: write
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Sync pipeline labels on open PRs
|
||||
uses: actions/github-script@v7
|
||||
with:
|
||||
github-token: ${{ secrets.GH_TOKEN }}
|
||||
script: |
|
||||
const path = require('path');
|
||||
const ps = require(path.join(process.env.GITHUB_WORKSPACE, '.github/scripts/pipeline-status.js'));
|
||||
await ps.syncOpenPullRequests(
|
||||
github, context.repo.owner, context.repo.repo, { maxPrs: 30 }, core
|
||||
);
|
||||
@@ -1,71 +0,0 @@
|
||||
name: PraisonAI Issue Triage
|
||||
|
||||
on:
|
||||
issue_comment:
|
||||
types: [created]
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
issue_number:
|
||||
description: 'Issue Number'
|
||||
required: true
|
||||
type: string
|
||||
|
||||
jobs:
|
||||
triage:
|
||||
runs-on: ubuntu-latest
|
||||
if: >
|
||||
github.event_name == 'workflow_dispatch' ||
|
||||
(github.event_name == 'issue_comment' &&
|
||||
!github.event.issue.pull_request &&
|
||||
contains(github.event.comment.body, '@praisonai') &&
|
||||
github.actor != 'github-actions[bot]' &&
|
||||
github.event.comment.user.type != 'Bot' &&
|
||||
(github.event.comment.author_association == 'OWNER' ||
|
||||
github.event.comment.author_association == 'MEMBER' ||
|
||||
github.event.comment.author_association == 'COLLABORATOR'))
|
||||
|
||||
steps:
|
||||
- name: Checkout Repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Generate GitHub App Token
|
||||
id: generate_token
|
||||
uses: tibdex/github-app-token@v2
|
||||
with:
|
||||
app_id: ${{ secrets.PRAISONAI_APP_ID }}
|
||||
private_key: ${{ secrets.PRAISONAI_APP_PRIVATE_KEY }}
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Set up Git
|
||||
run: |
|
||||
git config --local user.email "[email protected]"
|
||||
git config --local user.name "PraisonAI Bot"
|
||||
|
||||
- name: Install PraisonAI
|
||||
run: |
|
||||
pip install uv
|
||||
cd src/praisonai-agents && uv pip install --system -e ".[all]"
|
||||
cd ../praisonai && uv pip install --system -e ".[all]"
|
||||
|
||||
- name: Run PraisonAI Issue Triage
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
|
||||
GH_TOKEN: ${{ steps.generate_token.outputs.token }}
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
PRAISONAI_AUTO_APPROVE: "true"
|
||||
ISSUE_NUMBER_INPUT: ${{ inputs.issue_number }}
|
||||
ISSUE_NUMBER_EVENT: ${{ github.event.issue.number }}
|
||||
run: |
|
||||
if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
|
||||
export ISSUE_NUMBER="$ISSUE_NUMBER_INPUT"
|
||||
else
|
||||
export ISSUE_NUMBER="$ISSUE_NUMBER_EVENT"
|
||||
fi
|
||||
praisonai github triage --issue $ISSUE_NUMBER --agent-file .github/praisonai-issue-triage.yaml
|
||||
@@ -1,73 +0,0 @@
|
||||
name: PraisonAI PR Reviewer
|
||||
|
||||
on:
|
||||
pull_request:
|
||||
types: [opened, synchronize, reopened, ready_for_review]
|
||||
issue_comment:
|
||||
types: [created]
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
pr_number:
|
||||
description: 'Pull Request Number'
|
||||
required: true
|
||||
type: string
|
||||
|
||||
jobs:
|
||||
review:
|
||||
runs-on: ubuntu-latest
|
||||
if: >
|
||||
(github.event_name == 'pull_request' && github.event.pull_request.draft == false) ||
|
||||
github.event_name == 'workflow_dispatch' ||
|
||||
(github.event_name == 'issue_comment' &&
|
||||
github.event.issue.pull_request &&
|
||||
contains(github.event.comment.body, '@praisonai') &&
|
||||
github.actor != 'github-actions[bot]' &&
|
||||
github.event.comment.user.type != 'Bot' &&
|
||||
(github.event.comment.author_association == 'OWNER' ||
|
||||
github.event.comment.author_association == 'MEMBER' ||
|
||||
github.event.comment.author_association == 'COLLABORATOR'))
|
||||
|
||||
steps:
|
||||
- name: Determine checkout ref
|
||||
id: dest
|
||||
env:
|
||||
ISSUE_NUMBER: ${{ github.event.issue.number }}
|
||||
PR_NUMBER_INPUT: ${{ inputs.pr_number }}
|
||||
PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
|
||||
run: |
|
||||
if [ "${{ github.event_name }}" = "issue_comment" ]; then
|
||||
echo "ref=refs/pull/$ISSUE_NUMBER/head" >> "$GITHUB_OUTPUT"
|
||||
elif [ "${{ github.event_name }}" = "workflow_dispatch" ]; then
|
||||
echo "ref=refs/pull/$PR_NUMBER_INPUT/head" >> "$GITHUB_OUTPUT"
|
||||
else
|
||||
echo "ref=$PR_HEAD_SHA" >> "$GITHUB_OUTPUT"
|
||||
fi
|
||||
|
||||
- name: Checkout Repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
ref: ${{ steps.dest.outputs.ref }}
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Generate GitHub App Token
|
||||
id: generate_token
|
||||
uses: tibdex/github-app-token@v2
|
||||
with:
|
||||
app_id: ${{ secrets.PRAISONAI_APP_ID }}
|
||||
private_key: ${{ secrets.PRAISONAI_APP_PRIVATE_KEY }}
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install PraisonAI
|
||||
run: pip install "praisonai[all]"
|
||||
|
||||
- name: Run PraisonAI PR Review
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ steps.generate_token.outputs.token }}
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
run: |
|
||||
praisonai workflow run .github/praisonai-reviewer.yaml
|
||||
@@ -1,305 +0,0 @@
|
||||
name: PyPI Release
|
||||
|
||||
# Requires a GitHub Environment named "pypi" (Settings → Environments → pypi)
|
||||
# with required reviewers before secrets are exposed to this job.
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
bump:
|
||||
description: 'Version bump type for both packages'
|
||||
required: true
|
||||
default: patch
|
||||
type: choice
|
||||
options:
|
||||
- patch
|
||||
- minor
|
||||
- major
|
||||
dry_run:
|
||||
description: 'Preview versions and steps without publishing or pushing'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_agents:
|
||||
description: 'Skip agents publish (recovery if already on PyPI)'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
skip_wrapper:
|
||||
description: 'Publish agents only'
|
||||
required: false
|
||||
default: false
|
||||
type: boolean
|
||||
agents_version:
|
||||
description: 'Override agents version (empty = auto bump from pyproject.toml)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
wrapper_version:
|
||||
description: 'Override wrapper version (empty = auto bump from version.py)'
|
||||
required: false
|
||||
default: ''
|
||||
type: string
|
||||
source:
|
||||
description: 'Trigger source (audit trail)'
|
||||
required: false
|
||||
default: manual
|
||||
type: choice
|
||||
options:
|
||||
- manual
|
||||
- nightly
|
||||
|
||||
permissions:
|
||||
contents: write
|
||||
|
||||
concurrency:
|
||||
group: pypi-release
|
||||
cancel-in-progress: false
|
||||
|
||||
jobs:
|
||||
release:
|
||||
if: github.ref == 'refs/heads/main'
|
||||
runs-on: ubuntu-latest
|
||||
environment: pypi
|
||||
env:
|
||||
UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN || secrets.PYPI_API_TOKEN }}
|
||||
GH_TOKEN: ${{ secrets.GH_TOKEN }}
|
||||
steps:
|
||||
- name: Checkout main
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
|
||||
with:
|
||||
ref: main
|
||||
fetch-depth: 0
|
||||
token: ${{ secrets.GH_TOKEN }}
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Set up uv
|
||||
uses: astral-sh/setup-uv@38f3f104447c67c051c4a08e39b64a148898af3a # v4
|
||||
|
||||
- name: Configure git
|
||||
run: |
|
||||
git config user.name "MervinPraison"
|
||||
git config user.email "[email protected]"
|
||||
gh auth setup-git
|
||||
|
||||
- name: Release summary
|
||||
run: |
|
||||
echo "Source: ${{ inputs.source }}"
|
||||
echo "Bump: ${{ inputs.bump }}"
|
||||
echo "Dry run: ${{ inputs.dry_run }}"
|
||||
|
||||
- name: Compute release versions
|
||||
id: versions
|
||||
env:
|
||||
BUMP: ${{ inputs.bump }}
|
||||
AGENTS_OVERRIDE: ${{ inputs.agents_version }}
|
||||
WRAPPER_OVERRIDE: ${{ inputs.wrapper_version }}
|
||||
SKIP_AGENTS: ${{ inputs.skip_agents }}
|
||||
run: |
|
||||
python <<'PY'
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
SEMVER = re.compile(r"^\d+\.\d+\.\d+$")
|
||||
root = Path(".")
|
||||
bump = os.environ["BUMP"]
|
||||
|
||||
def bump_version(version: str) -> str:
|
||||
parts = version.split(".")
|
||||
if len(parts) != 3:
|
||||
print(f"Invalid version: {version}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
maj, min_, patch = (int(parts[0]), int(parts[1]), int(parts[2]))
|
||||
if bump == "major":
|
||||
return f"{maj + 1}.0.0"
|
||||
if bump == "minor":
|
||||
return f"{maj}.{min_ + 1}.0"
|
||||
return f"{maj}.{min_}.{patch + 1}"
|
||||
|
||||
def validate_version(label: str, value: str) -> None:
|
||||
if value and not SEMVER.match(value):
|
||||
print(f"Invalid {label} override: {value!r} (expected X.Y.Z)", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
agents_override = os.environ.get("AGENTS_OVERRIDE", "").strip()
|
||||
wrapper_override = os.environ.get("WRAPPER_OVERRIDE", "").strip()
|
||||
validate_version("agents_version", agents_override)
|
||||
validate_version("wrapper_version", wrapper_override)
|
||||
|
||||
agents_pyproject = root / "src/praisonai-agents/pyproject.toml"
|
||||
agents_content = agents_pyproject.read_text()
|
||||
agents_match = re.search(r'^version\s*=\s*"([^"]+)"', agents_content, re.MULTILINE)
|
||||
if not agents_match:
|
||||
print("Could not read agents version from pyproject.toml", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_agents = agents_match.group(1)
|
||||
if not SEMVER.match(current_agents):
|
||||
print(f"Invalid current agents version: {current_agents}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
wrapper_version_py = root / "src/praisonai/praisonai/version.py"
|
||||
wrapper_content = wrapper_version_py.read_text()
|
||||
wrapper_match = re.search(r'__version__ = "([^"]+)"', wrapper_content)
|
||||
if not wrapper_match:
|
||||
print("Could not read wrapper version from version.py", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
current_wrapper = wrapper_match.group(1)
|
||||
if not SEMVER.match(current_wrapper):
|
||||
print(f"Invalid current wrapper version: {current_wrapper}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
skip_agents = os.environ.get("SKIP_AGENTS", "false").lower() == "true"
|
||||
|
||||
if agents_override:
|
||||
agents_version = agents_override
|
||||
elif skip_agents:
|
||||
agents_version = current_agents
|
||||
else:
|
||||
agents_version = bump_version(current_agents)
|
||||
|
||||
if wrapper_override:
|
||||
wrapper_version = wrapper_override
|
||||
else:
|
||||
wrapper_version = bump_version(current_wrapper)
|
||||
|
||||
github_output = os.environ["GITHUB_OUTPUT"]
|
||||
with open(github_output, "a", encoding="utf-8") as fh:
|
||||
fh.write(f"agents_version={agents_version}\n")
|
||||
fh.write(f"wrapper_version={wrapper_version}\n")
|
||||
fh.write(f"current_agents={current_agents}\n")
|
||||
fh.write(f"current_wrapper={current_wrapper}\n")
|
||||
|
||||
print(f"Agents: {current_agents} -> {agents_version}")
|
||||
print(f"Wrapper: {current_wrapper} -> {wrapper_version}")
|
||||
PY
|
||||
|
||||
- name: Dry run summary
|
||||
if: inputs.dry_run
|
||||
run: |
|
||||
echo "Dry run — no publish, commit, or push."
|
||||
echo "Agents version: ${{ steps.versions.outputs.agents_version }}"
|
||||
echo "Wrapper version: ${{ steps.versions.outputs.wrapper_version }}"
|
||||
echo ""
|
||||
if [ "${{ inputs.skip_agents }}" != "true" ]; then
|
||||
echo "Would publish praisonaiagents ${{ steps.versions.outputs.agents_version }}"
|
||||
echo "Would commit src/praisonai-agents/pyproject.toml and uv.lock"
|
||||
fi
|
||||
if [ "${{ inputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "Would run bump_and_release.py ${{ steps.versions.outputs.wrapper_version }} --agents ${{ steps.versions.outputs.agents_version }}"
|
||||
echo "Would uv publish praisonai ${{ steps.versions.outputs.wrapper_version }}"
|
||||
fi
|
||||
|
||||
- name: Publish praisonaiagents
|
||||
if: inputs.dry_run != true && inputs.skip_agents != true
|
||||
working-directory: src/praisonai-agents
|
||||
env:
|
||||
NEW_VERSION: ${{ steps.versions.outputs.agents_version }}
|
||||
CURRENT: ${{ steps.versions.outputs.current_agents }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python <<'PY'
|
||||
import os
|
||||
from pathlib import Path
|
||||
path = Path("pyproject.toml")
|
||||
content = path.read_text()
|
||||
current = os.environ["CURRENT"]
|
||||
new = os.environ["NEW_VERSION"]
|
||||
path.write_text(content.replace(f'version = "{current}"', f'version = "{new}"', 1))
|
||||
PY
|
||||
|
||||
rm -rf dist
|
||||
uv lock
|
||||
uv build
|
||||
uv publish
|
||||
|
||||
- name: Wait for praisonaiagents on PyPI
|
||||
if: inputs.dry_run != true && inputs.skip_agents != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonaiagents"
|
||||
VERSION="${{ steps.versions.outputs.agents_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Commit agents version bump
|
||||
if: inputs.dry_run != true && inputs.skip_agents != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
git add src/praisonai-agents/pyproject.toml src/praisonai-agents/uv.lock
|
||||
git diff --cached --quiet && { echo "No agents files to commit"; exit 0; }
|
||||
git commit -m "Bump praisonaiagents to ${{ steps.versions.outputs.agents_version }}"
|
||||
git pull --rebase origin main
|
||||
git push origin main
|
||||
|
||||
- name: Bump and release wrapper
|
||||
if: inputs.dry_run != true && inputs.skip_wrapper != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
python src/praisonai/scripts/bump_and_release.py "${{ steps.versions.outputs.wrapper_version }}" \
|
||||
--agents "${{ steps.versions.outputs.agents_version }}" \
|
||||
--wait --max-wait 600 --no-add-all
|
||||
|
||||
- name: Publish praisonai wrapper to PyPI
|
||||
if: inputs.dry_run != true && inputs.skip_wrapper != true
|
||||
working-directory: src/praisonai
|
||||
run: uv publish
|
||||
|
||||
- name: Wait for praisonai on PyPI
|
||||
if: inputs.dry_run != true && inputs.skip_wrapper != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
PACKAGE="praisonai"
|
||||
VERSION="${{ steps.versions.outputs.wrapper_version }}"
|
||||
MAX_WAIT=600
|
||||
INTERVAL=30
|
||||
START=$(date +%s)
|
||||
|
||||
while true; do
|
||||
if curl -fsSL "https://pypi.org/pypi/${PACKAGE}/${VERSION}/json" >/dev/null; then
|
||||
echo "✅ ${PACKAGE}==${VERSION} is available on PyPI"
|
||||
exit 0
|
||||
fi
|
||||
ELAPSED=$(( $(date +%s) - START ))
|
||||
if [ "$ELAPSED" -ge "$MAX_WAIT" ]; then
|
||||
echo "❌ Timeout waiting for ${PACKAGE}==${VERSION} on PyPI"
|
||||
exit 1
|
||||
fi
|
||||
echo "⏳ Waiting for ${PACKAGE}==${VERSION} ($(( MAX_WAIT - ELAPSED ))s remaining...)"
|
||||
sleep "$INTERVAL"
|
||||
done
|
||||
|
||||
- name: Verify PyPI versions
|
||||
if: inputs.dry_run != true
|
||||
run: |
|
||||
set -euo pipefail
|
||||
AGENTS="${{ steps.versions.outputs.agents_version }}"
|
||||
WRAPPER="${{ steps.versions.outputs.wrapper_version }}"
|
||||
|
||||
if [ "${{ inputs.skip_agents }}" != "true" ]; then
|
||||
echo "✅ praisonaiagents==${AGENTS}"
|
||||
fi
|
||||
|
||||
if [ "${{ inputs.skip_wrapper }}" != "true" ]; then
|
||||
echo "✅ praisonai==${WRAPPER}"
|
||||
fi
|
||||
@@ -1,22 +1,25 @@
|
||||
name: Python Package (Multi-Version)
|
||||
# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
|
||||
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
|
||||
|
||||
name: Python package
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: '0 4 * * 1' # Weekly Monday 4am UTC
|
||||
workflow_dispatch:
|
||||
push:
|
||||
branches: [ "develop" ]
|
||||
pull_request:
|
||||
branches: [ "develop" ]
|
||||
|
||||
jobs:
|
||||
build:
|
||||
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
python-version: ["3.10", "3.11", "3.12"]
|
||||
python-version: ["3.10", "3.11"]
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -27,16 +30,39 @@ jobs:
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
python -m pip install --upgrade pip
|
||||
python -m pip install flake8 pytest
|
||||
python -m pip install ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
python -m pip install duckduckgo_search pytest pytest-asyncio pytest-cov
|
||||
python -m pip install duckduckgo_search
|
||||
python -m pip install pytest-asyncio pytest-cov
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
python -m pip install "praisonaiagents[knowledge]"
|
||||
|
||||
- name: Run tests
|
||||
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
|
||||
|
||||
- name: Debug API Key Status
|
||||
run: |
|
||||
cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --timeout=60 || echo "Some tests failed"
|
||||
echo "🔍 Checking API key availability..."
|
||||
if [ -n "${{ secrets.OPENAI_API_KEY }}" ]; then
|
||||
echo "✅ GitHub secret OPENAI_API_KEY is available"
|
||||
echo "🔑 API key starts with: $(echo "$OPENAI_API_KEY" | cut -c1-7)..."
|
||||
else
|
||||
echo "⚠️ GitHub secret OPENAI_API_KEY is NOT set - using fallback"
|
||||
echo "🔑 Using fallback key: sk-test-key..."
|
||||
fi
|
||||
echo "🌐 API Base: $OPENAI_API_BASE"
|
||||
echo "🤖 Model: $OPENAI_MODEL_NAME"
|
||||
|
||||
# - name: Lint with flake8
|
||||
# run: |
|
||||
# # stop the build if there are Python syntax errors or undefined names
|
||||
# flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
|
||||
# # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
|
||||
# flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
|
||||
- name: Test with pytest
|
||||
run: |
|
||||
cd src/praisonai && python tests/test_runner.py --pattern fast
|
||||
@@ -8,25 +8,20 @@
|
||||
|
||||
name: Upload Python Package
|
||||
|
||||
# Superseded by pypi-release.yml (manual workflow_dispatch with uv publish).
|
||||
# Kept as workflow_dispatch-only fallback; release trigger removed to avoid
|
||||
# duplicate PyPI publish when bump_and_release creates a GitHub release.
|
||||
on:
|
||||
workflow_dispatch:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
if: false
|
||||
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
|
||||
@@ -27,7 +27,6 @@ jobs:
|
||||
- name: Checkout upstream repo
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
repository: MervinPraison/PraisonAI
|
||||
ref: ${{ github.event.inputs.tag }}
|
||||
fetch-depth: 0
|
||||
@@ -35,18 +34,15 @@ jobs:
|
||||
# Get the commit hash from the tag
|
||||
- name: Get commit hash
|
||||
id: get_commit
|
||||
env:
|
||||
INPUT_TAG: ${{ github.event.inputs.tag }}
|
||||
run: |
|
||||
COMMIT_HASH=$(git rev-parse HEAD)
|
||||
echo "commit_hash=$COMMIT_HASH" >> $GITHUB_OUTPUT
|
||||
echo "Found commit: $COMMIT_HASH for tag $INPUT_TAG"
|
||||
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:
|
||||
persist-credentials: false
|
||||
repository: ${{ github.event.inputs.fork_owner }}/PraisonAI
|
||||
ref: main
|
||||
fetch-depth: 0
|
||||
@@ -55,8 +51,8 @@ jobs:
|
||||
# Sync with upstream commit
|
||||
- name: Sync with upstream
|
||||
run: |
|
||||
git config --global user.name "MervinPraison"
|
||||
git config --global user.email "[email protected].github.com"
|
||||
git config --global user.name "GitHub Actions"
|
||||
git config --global user.email "actions@github.com"
|
||||
|
||||
# Add upstream remote
|
||||
git remote add upstream https://github.com/MervinPraison/PraisonAI.git
|
||||
@@ -64,11 +60,8 @@ jobs:
|
||||
# Fetch from upstream
|
||||
git fetch upstream --tags --force
|
||||
|
||||
- name: Hard reset to tag commit
|
||||
env:
|
||||
COMMIT_HASH: ${{ steps.get_commit.outputs.commit_hash }}
|
||||
run: |
|
||||
git reset --hard $COMMIT_HASH
|
||||
# Reset to upstream commit
|
||||
git reset --hard ${{ steps.get_commit.outputs.commit_hash }}
|
||||
|
||||
- name: Setup Python
|
||||
uses: actions/setup-python@v5
|
||||
@@ -444,7 +437,6 @@ jobs:
|
||||
- name: Checkout fork repo
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
fetch-depth: 0
|
||||
token: ${{ secrets.PAT_TOKEN }}
|
||||
repository: ${{ github.event.inputs.fork_owner }}/PraisonAI
|
||||
@@ -453,64 +445,55 @@ jobs:
|
||||
# Add upstream and get commit from tag
|
||||
- name: Get upstream tag commit
|
||||
id: get_upstream_commit
|
||||
env:
|
||||
INPUT_TAG: ${{ github.event.inputs.tag }}
|
||||
run: |
|
||||
# Add upstream remote
|
||||
git remote add upstream https://github.com/MervinPraison/PraisonAI.git
|
||||
|
||||
# Delete local tag if it exists
|
||||
git tag -d "$INPUT_TAG" || true
|
||||
git tag -d ${{ github.event.inputs.tag }} || true
|
||||
|
||||
# Fetch from upstream including tags with force
|
||||
git fetch upstream --tags --force
|
||||
|
||||
# Verify tag exists in upstream
|
||||
if ! git ls-remote --tags upstream | grep -q "refs/tags/$INPUT_TAG$"; then
|
||||
echo "::error::Tag $INPUT_TAG not found in upstream repository"
|
||||
if ! git ls-remote --tags upstream | grep -q "refs/tags/${{ 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/"$INPUT_TAG")
|
||||
UPSTREAM_COMMIT=$(git rev-list -n 1 refs/tags/${{ github.event.inputs.tag }})
|
||||
if [ -z "$UPSTREAM_COMMIT" ]; then
|
||||
echo "::error::Could not find commit for tag $INPUT_TAG"
|
||||
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 $INPUT_TAG"
|
||||
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 "GitHub Actions"
|
||||
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 }}
|
||||
INPUT_TAG: ${{ github.event.inputs.tag }}
|
||||
run: |
|
||||
git config --global user.name "MervinPraison"
|
||||
git config --global user.email "[email protected]"
|
||||
|
||||
# Remove tag if it exists locally
|
||||
git tag -d "$INPUT_TAG" || true
|
||||
|
||||
# Remove tag if it exists remotely
|
||||
git push origin :refs/tags/"$INPUT_TAG" || true
|
||||
|
||||
- name: Fetch tag from upstream
|
||||
env:
|
||||
UPSTREAM_COMMIT: ${{ steps.get_upstream_commit.outputs.upstream_commit }}
|
||||
run: |
|
||||
git fetch upstream $UPSTREAM_COMMIT --force
|
||||
|
||||
- name: Reset to upstream commit
|
||||
env:
|
||||
UPSTREAM_COMMIT: ${{ steps.get_upstream_commit.outputs.upstream_commit }}
|
||||
run: |
|
||||
git reset --hard $UPSTREAM_COMMIT
|
||||
|
||||
# Create and push tag
|
||||
git tag -a "$INPUT_TAG" -m "Release $INPUT_TAG (synced from upstream MervinPraison/PraisonAI@$INPUT_TAG)"
|
||||
git push origin "$INPUT_TAG"
|
||||
|
||||
# Create the release
|
||||
- name: Create Release
|
||||
|
||||
@@ -1,31 +0,0 @@
|
||||
name: Sync Claude Secrets to PraisonAIUI
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
contents: read
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Sync secrets to PraisonAIUI
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.SECRETS_ADMIN_PAT }}
|
||||
TARGET: MervinPraison/PraisonAIUI
|
||||
CLAUDE_APP_ID: ${{ secrets.CLAUDE_APP_ID }}
|
||||
CLAUDE_APP_PRIVATE_KEY: ${{ secrets.CLAUDE_APP_PRIVATE_KEY }}
|
||||
CLAUDE_CODE_OAUTH_TOKEN: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
|
||||
GH_TOKEN_VALUE: ${{ secrets.GH_TOKEN }}
|
||||
run: |
|
||||
set -euo pipefail
|
||||
if [ -z "${GH_TOKEN:-}" ]; then
|
||||
echo "SECRETS_ADMIN_PAT is not configured in this repository"
|
||||
exit 1
|
||||
fi
|
||||
echo -n "$CLAUDE_APP_ID" | gh secret set CLAUDE_APP_ID --repo "$TARGET"
|
||||
echo -n "$CLAUDE_APP_PRIVATE_KEY" | gh secret set CLAUDE_APP_PRIVATE_KEY --repo "$TARGET"
|
||||
echo -n "$CLAUDE_CODE_OAUTH_TOKEN" | gh secret set CLAUDE_CODE_OAUTH_TOKEN --repo "$TARGET"
|
||||
echo -n "$GH_TOKEN_VALUE" | gh secret set GH_TOKEN --repo "$TARGET"
|
||||
echo "Synced CLAUDE_APP_ID, CLAUDE_APP_PRIVATE_KEY, CLAUDE_CODE_OAUTH_TOKEN, GH_TOKEN → $TARGET"
|
||||
@@ -37,8 +37,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
@@ -69,11 +67,9 @@ jobs:
|
||||
fi
|
||||
|
||||
- name: Run Comprehensive Test Suite
|
||||
env:
|
||||
INPUT_TEST_TYPE: ${{ github.event.inputs.test_type || 'all' }}
|
||||
run: |
|
||||
# Determine test type from input or default to 'all'
|
||||
TEST_TYPE="$INPUT_TEST_TYPE"
|
||||
TEST_TYPE="${{ github.event.inputs.test_type || 'all' }}"
|
||||
|
||||
echo "🧪 Running comprehensive test suite (type: $TEST_TYPE)"
|
||||
|
||||
@@ -106,16 +102,13 @@ jobs:
|
||||
|
||||
- name: Generate Comprehensive Test Report
|
||||
if: always()
|
||||
env:
|
||||
INPUT_TEST_TYPE: ${{ github.event.inputs.test_type || 'all' }}
|
||||
EVENT_NAME: ${{ github.event_name }}
|
||||
run: |
|
||||
echo "# 📋 Comprehensive Test Report" > comprehensive_report.md
|
||||
echo "" >> comprehensive_report.md
|
||||
echo "**Python Version:** ${{ matrix.python-version }}" >> comprehensive_report.md
|
||||
echo "**Test Type:** $INPUT_TEST_TYPE" >> comprehensive_report.md
|
||||
echo "**Trigger:** $EVENT_NAME" >> comprehensive_report.md
|
||||
echo "**Status:** 🟢 All Tests Passed" >> 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
|
||||
|
||||
+245
-31
@@ -1,45 +1,41 @@
|
||||
name: Core Tests
|
||||
|
||||
on:
|
||||
on:
|
||||
push:
|
||||
branches: [ main, develop ]
|
||||
paths:
|
||||
- 'src/**'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-core.yml'
|
||||
pull_request:
|
||||
branches: [ main, develop ]
|
||||
paths:
|
||||
- 'src/**'
|
||||
- 'pyproject.toml'
|
||||
- '.github/workflows/test-core.yml'
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
test-core:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 20
|
||||
|
||||
timeout-minutes: 15
|
||||
strategy:
|
||||
matrix:
|
||||
python-version: [3.11]
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
- name: Set up Python 3.11
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
python-version: ${{ matrix.python-version }}
|
||||
|
||||
- name: Install UV
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
|
||||
- name: Set environment variables
|
||||
@@ -47,28 +43,246 @@ jobs:
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}" >> $GITHUB_ENV
|
||||
echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
# Also export to current shell session for immediate availability
|
||||
export OPENAI_API_KEY="${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}"
|
||||
export OPENAI_API_BASE="${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}"
|
||||
export OPENAI_MODEL_NAME="${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}"
|
||||
export LOGLEVEL=DEBUG
|
||||
# Verify immediate availability
|
||||
echo "🔧 Immediate verification in same step:"
|
||||
echo " OPENAI_API_KEY length in current session: ${#OPENAI_API_KEY}"
|
||||
echo " OPENAI_API_KEY starts with sk-: $(echo "$OPENAI_API_KEY" | grep -q '^sk-' && echo 'YES' || echo 'NO')"
|
||||
|
||||
- name: Debug API Key Status
|
||||
run: |
|
||||
echo "🔍 Checking API key availability..."
|
||||
if [ -n "${{ secrets.OPENAI_API_KEY }}" ]; then
|
||||
echo "✅ GitHub secret OPENAI_API_KEY is available"
|
||||
echo "🔑 API key starts with: $(echo "$OPENAI_API_KEY" | cut -c1-7)..."
|
||||
else
|
||||
echo "⚠️ GitHub secret OPENAI_API_KEY is NOT set - using fallback"
|
||||
echo "🔑 Using fallback key: sk-test-key..."
|
||||
fi
|
||||
echo "🌐 API Base: $OPENAI_API_BASE"
|
||||
echo "🤖 Model: $OPENAI_MODEL_NAME"
|
||||
echo "🐛 Log Level: $LOGLEVEL"
|
||||
echo "📊 Environment Check:"
|
||||
echo " - OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
|
||||
echo " - OPENAI_API_BASE: $OPENAI_API_BASE"
|
||||
echo " - OPENAI_MODEL_NAME: $OPENAI_MODEL_NAME"
|
||||
echo " - LOGLEVEL: $LOGLEVEL"
|
||||
echo "🔍 Is API key actually set?"
|
||||
echo " - API key starts with sk-: $(echo "$OPENAI_API_KEY" | grep -q '^sk-' && echo 'YES' || echo 'NO')"
|
||||
echo " - API key is not test key: $([ "$OPENAI_API_KEY" != 'sk-test-key-for-github-actions-testing-only-not-real' ] && echo 'YES' || echo 'NO')"
|
||||
|
||||
- name: Debug Environment Variables Raw
|
||||
run: |
|
||||
echo "🔧 Raw environment variable check:"
|
||||
echo "OPENAI_API_KEY set: $(if [ -n "$OPENAI_API_KEY" ]; then echo 'YES'; else echo 'NO'; fi)"
|
||||
echo "OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
|
||||
echo "OPENAI_API_KEY first 10 chars: ${OPENAI_API_KEY:0:10}"
|
||||
echo "OPENAI_API_KEY last 5 chars: ${OPENAI_API_KEY: -5}"
|
||||
printenv | grep OPENAI || echo "No OPENAI env vars found"
|
||||
|
||||
- name: Debug Python Environment Variables
|
||||
run: |
|
||||
python -c "
|
||||
import os
|
||||
print('🐍 Python Environment Variable Check:')
|
||||
api_key = os.environ.get('OPENAI_API_KEY', 'NOT_SET')
|
||||
if api_key != 'NOT_SET':
|
||||
print(f' ✅ OPENAI_API_KEY: {api_key[:7]}... (length: {len(api_key)})')
|
||||
else:
|
||||
print(' ❌ OPENAI_API_KEY: NOT_SET')
|
||||
print(f' 🌐 OPENAI_API_BASE: {os.environ.get(\"OPENAI_API_BASE\", \"NOT_SET\")}')
|
||||
print(f' 🤖 OPENAI_MODEL_NAME: {os.environ.get(\"OPENAI_MODEL_NAME\", \"NOT_SET\")}')
|
||||
print(f' 📋 All OPENAI env vars:')
|
||||
for key, value in os.environ.items():
|
||||
if key.startswith('OPENAI'):
|
||||
print(f' {key}: {value[:10] if len(value) > 10 else value}...')
|
||||
"
|
||||
|
||||
- name: Validate API Key
|
||||
run: |
|
||||
echo "🔑 Testing API key validity with minimal OpenAI call..."
|
||||
python -c "
|
||||
import os
|
||||
try:
|
||||
from openai import OpenAI
|
||||
client = OpenAI(api_key=os.environ.get('OPENAI_API_KEY'))
|
||||
response = client.models.list()
|
||||
print('✅ API Key is VALID - OpenAI responded successfully')
|
||||
print(f'📊 Available models: {len(list(response.data))} models found')
|
||||
except Exception as e:
|
||||
print(f'❌ API Key is INVALID - Error: {e}')
|
||||
print('🔍 This explains why all API-dependent tests are failing')
|
||||
print('💡 The GitHub secret OPENAI_API_KEY needs to be updated with a valid key')
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Debug PraisonAI API Key Usage
|
||||
env:
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}
|
||||
OPENAI_API_BASE: ${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}
|
||||
OPENAI_MODEL_NAME: ${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}
|
||||
LOGLEVEL: DEBUG
|
||||
run: |
|
||||
echo "🔍 Testing PraisonAI API key usage directly..."
|
||||
cd src/praisonai
|
||||
python -c "
|
||||
import os
|
||||
import sys
|
||||
sys.path.insert(0, '.')
|
||||
|
||||
# Attempt to import SecretStr, otherwise use a dummy class
|
||||
try:
|
||||
from pydantic.types import SecretStr
|
||||
except ImportError:
|
||||
class SecretStr: # Dummy class if pydantic is not available in this minimal context
|
||||
def __init__(self, value): self._value = value
|
||||
def get_secret_value(self): return self._value
|
||||
|
||||
def get_key_display_value(key_value):
|
||||
if isinstance(key_value, SecretStr):
|
||||
return key_value.get_secret_value()[:10] if key_value.get_secret_value() else 'EMPTY_SECRET'
|
||||
elif isinstance(key_value, str):
|
||||
return key_value[:10] if key_value != 'nokey' and key_value != 'NOT_SET' else key_value
|
||||
return 'INVALID_TYPE'
|
||||
|
||||
print('🔧 Direct PraisonAI API Key Check:')
|
||||
env_api_key = os.environ.get(\"OPENAI_API_KEY\", \"NOT_SET\")
|
||||
print(f'Environment OPENAI_API_KEY: {get_key_display_value(env_api_key)}...')
|
||||
|
||||
from praisonai import PraisonAI
|
||||
praisonai = PraisonAI()
|
||||
|
||||
print(f'PraisonAI config_list: {praisonai.config_list}')
|
||||
api_key_from_config = praisonai.config_list[0].get('api_key', 'NOT_SET')
|
||||
print(f'API key from PraisonAI config: {get_key_display_value(api_key_from_config)}...')
|
||||
|
||||
from praisonai.inc.models import PraisonAIModel
|
||||
|
||||
print('\\n🧪 Testing PraisonAIModel with explicit API key (CrewAI method):')
|
||||
model_with_explicit_key = PraisonAIModel(
|
||||
model='openai/gpt-5-nano',
|
||||
base_url=praisonai.config_list[0].get('base_url'),
|
||||
api_key=api_key_from_config # This will be a string from praisonai.config_list
|
||||
)
|
||||
print(f' Model: {model_with_explicit_key.model}')
|
||||
print(f' Model name: {model_with_explicit_key.model_name}')
|
||||
print(f' API key var: {model_with_explicit_key.api_key_var}')
|
||||
# model_with_explicit_key.api_key is now a string, or 'nokey'
|
||||
print(f' API key (explicitly passed to PraisonAIModel): {get_key_display_value(model_with_explicit_key.api_key)}...')
|
||||
print(f' Base URL: {model_with_explicit_key.base_url}')
|
||||
|
||||
try:
|
||||
llm_instance = model_with_explicit_key.get_model()
|
||||
print(f' ✅ LLM instance created successfully: {type(llm_instance).__name__}')
|
||||
|
||||
# langchain_openai.ChatOpenAI stores the key in openai_api_key as SecretStr
|
||||
llm_api_key_attr = getattr(llm_instance, 'openai_api_key', 'NOT_FOUND')
|
||||
if llm_api_key_attr != 'NOT_FOUND':
|
||||
print(f' LLM instance API key: {get_key_display_value(llm_api_key_attr)}...')
|
||||
else:
|
||||
print(f' LLM instance API key attribute not found.')
|
||||
except Exception as e:
|
||||
print(f' ❌ Failed to create LLM instance: {e}')
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Run Unit Tests
|
||||
run: |
|
||||
cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings \
|
||||
--cov=praisonai --cov-report=xml --cov-branch \
|
||||
--timeout=60 || echo "Some unit tests failed"
|
||||
cd src/praisonai && python -m pytest tests/unit/ -v --tb=short --disable-warnings --cov=praisonai --cov-report=term-missing --cov-report=xml --cov-branch || echo "Some tests failed - see output above"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Run Integration Tests
|
||||
- name: Run Integration Tests
|
||||
run: |
|
||||
cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings \
|
||||
--timeout=60 \
|
||||
--ignore=tests/integration/test_tracker_complex_tasks.py \
|
||||
--ignore=tests/integration/test_serve_integration.py \
|
||||
|| echo "Some integration tests failed"
|
||||
cd src/praisonai && python -m pytest tests/integration/ -v --tb=short --disable-warnings
|
||||
|
||||
- name: Upload coverage to Codecov
|
||||
if: always()
|
||||
- name: Debug Directory Structure
|
||||
run: |
|
||||
echo "🔍 Debugging directory structure for CrewAI tests..."
|
||||
cd src/praisonai
|
||||
echo "Current working directory: $(pwd)"
|
||||
echo "📁 Contents of current directory:"
|
||||
ls -la
|
||||
echo ""
|
||||
echo "📁 Contents of tests directory:"
|
||||
ls -la tests/ || echo "❌ tests/ directory not found"
|
||||
echo ""
|
||||
echo "📁 Contents of tests/integration:"
|
||||
ls -la tests/integration/ || echo "❌ tests/integration/ directory not found"
|
||||
echo ""
|
||||
echo "📁 Looking for crewai directory:"
|
||||
find . -name "crewai" -type d 2>/dev/null || echo "❌ No crewai directories found"
|
||||
echo ""
|
||||
echo "📁 Full directory tree of tests:"
|
||||
tree tests/ || find tests/ -type d 2>/dev/null || echo "❌ Cannot explore tests directory"
|
||||
|
||||
- name: Test AutoGen Framework
|
||||
run: |
|
||||
echo "🤖 Testing AutoGen Framework Integration..."
|
||||
cd src/praisonai && python tests/test_runner.py --pattern autogen --verbose
|
||||
|
||||
- name: Test CrewAI Framework
|
||||
run: |
|
||||
echo "⛵ Testing CrewAI Framework Integration..."
|
||||
cd src/praisonai
|
||||
echo "🔍 Trying test runner first..."
|
||||
python tests/test_runner.py --pattern crewai --verbose || {
|
||||
echo "❌ Test runner failed, trying direct pytest..."
|
||||
echo "📁 Current directory: $(pwd)"
|
||||
echo "📁 Looking for CrewAI tests..."
|
||||
find . -name "*crewai*" -type f 2>/dev/null
|
||||
echo "🧪 Trying direct pytest on integration/crewai..."
|
||||
python -m pytest tests/integration/crewai/ -v --tb=short --disable-warnings || {
|
||||
echo "❌ Direct path failed, trying relative path..."
|
||||
python -m pytest integration/crewai/ -v --tb=short --disable-warnings || {
|
||||
echo "❌ All CrewAI test attempts failed"
|
||||
exit 1
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
- name: Run Legacy Tests with API Key
|
||||
env:
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}
|
||||
OPENAI_API_BASE: ${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}
|
||||
OPENAI_MODEL_NAME: ${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}
|
||||
LOGLEVEL: DEBUG
|
||||
run: |
|
||||
echo "🧪 Running legacy tests with real API key..."
|
||||
echo "🔧 Final environment check before pytest:"
|
||||
echo " OPENAI_API_KEY set: $([ -n "$OPENAI_API_KEY" ] && echo 'YES' || echo 'NO')"
|
||||
echo " OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
|
||||
echo " OPENAI_API_KEY starts with sk-: $(echo "$OPENAI_API_KEY" | grep -q '^sk-' && echo 'YES' || echo 'NO')"
|
||||
export OPENAI_API_KEY="$OPENAI_API_KEY"
|
||||
export OPENAI_API_BASE="$OPENAI_API_BASE"
|
||||
export OPENAI_MODEL_NAME="$OPENAI_MODEL_NAME"
|
||||
cd src/praisonai && python -m pytest tests/test.py -v --tb=short --disable-warnings -m "not real" --timeout=60
|
||||
|
||||
- name: Upload coverage reports to Codecov
|
||||
if: matrix.python-version == '3.11'
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN || '' }}
|
||||
files: src/praisonai/coverage.xml
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
file: src/praisonai/coverage.xml
|
||||
flags: core-tests
|
||||
fail_ci_if_error: false
|
||||
name: core-tests-coverage
|
||||
fail_ci_if_error: false
|
||||
verbose: true
|
||||
|
||||
- name: Upload Coverage Reports (Artifacts)
|
||||
if: matrix.python-version == '3.11'
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: coverage-reports
|
||||
path: |
|
||||
src/praisonai/.coverage
|
||||
src/praisonai/htmlcov/
|
||||
src/praisonai/coverage.xml
|
||||
retention-days: 7
|
||||
@@ -1,9 +1,14 @@
|
||||
name: Extended Tests
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ main ]
|
||||
pull_request:
|
||||
branches: [ main ]
|
||||
schedule:
|
||||
# Run nightly at 2 AM UTC
|
||||
- cron: '0 2 * * *'
|
||||
workflow_dispatch:
|
||||
workflow_dispatch: # Allow manual triggering
|
||||
|
||||
jobs:
|
||||
test-examples:
|
||||
@@ -13,8 +18,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
@@ -79,8 +82,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
|
||||
@@ -33,8 +33,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
|
||||
@@ -3,16 +3,8 @@ 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 * * *'
|
||||
@@ -45,8 +37,7 @@ jobs:
|
||||
timeout-minutes: 5
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -105,8 +96,7 @@ jobs:
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -159,8 +149,8 @@ jobs:
|
||||
if: matrix.python-version == '3.11'
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN || '' }}
|
||||
files: src/praisonai/coverage.xml
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
file: src/praisonai/coverage.xml
|
||||
flags: main-tests
|
||||
fail_ci_if_error: false
|
||||
|
||||
@@ -187,8 +177,6 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -259,8 +247,6 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -307,10 +293,8 @@ jobs:
|
||||
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
|
||||
if [ -n "${{ secrets.GOOGLE_API_KEY }}" ]; then
|
||||
echo "has_key=true" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "has_key=false" >> $GITHUB_OUTPUT
|
||||
@@ -318,8 +302,6 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -366,10 +348,8 @@ jobs:
|
||||
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
|
||||
if [ -n "${{ secrets.GROQ_API_KEY }}" ]; then
|
||||
echo "has_key=true" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "has_key=false" >> $GITHUB_OUTPUT
|
||||
@@ -377,8 +357,6 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -425,10 +403,8 @@ jobs:
|
||||
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
|
||||
if [ -n "${{ secrets.XAI_API_KEY }}" ]; then
|
||||
echo "has_key=true" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "has_key=false" >> $GITHUB_OUTPUT
|
||||
@@ -436,8 +412,6 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
@@ -484,10 +458,8 @@ jobs:
|
||||
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
|
||||
if [ -n "${{ secrets.COHERE_API_KEY }}" ]; then
|
||||
echo "has_key=true" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "has_key=false" >> $GITHUB_OUTPUT
|
||||
@@ -495,8 +467,6 @@ jobs:
|
||||
fi
|
||||
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
if: steps.check-key.outputs.has_key == 'true'
|
||||
|
||||
- name: Set up Python 3.11
|
||||
|
||||
@@ -34,19 +34,14 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: 🚨 Cost Warning
|
||||
env:
|
||||
INPUT_FRAMEWORK: ${{ github.event.inputs.framework }}
|
||||
INPUT_CONFIRM_COSTS: ${{ github.event.inputs.confirm_costs }}
|
||||
run: |
|
||||
echo "⚠️ WARNING: This workflow will make real API calls!"
|
||||
echo "💰 This may incur charges on your API accounts"
|
||||
echo "🎯 Framework: $INPUT_FRAMEWORK"
|
||||
echo "✅ Cost confirmation: $INPUT_CONFIRM_COSTS"
|
||||
echo "🎯 Framework: ${{ github.event.inputs.framework }}"
|
||||
echo "✅ Cost confirmation: ${{ github.event.inputs.confirm_costs }}"
|
||||
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
@@ -98,23 +93,21 @@ jobs:
|
||||
|
||||
- name: Generate Real Test Report
|
||||
if: always()
|
||||
env:
|
||||
INPUT_FRAMEWORK: ${{ github.event.inputs.framework }}
|
||||
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:** $INPUT_FRAMEWORK" >> 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 "**Triggered by:** ${{ github.actor }}" >> real_test_report.md
|
||||
echo "" >> real_test_report.md
|
||||
|
||||
echo "## 🧪 Test Results" >> real_test_report.md
|
||||
echo "" >> real_test_report.md
|
||||
|
||||
if [ "$INPUT_FRAMEWORK" == "autogen" ] || [ "$INPUT_FRAMEWORK" == "all" ]; then
|
||||
if [ "${{ github.event.inputs.framework }}" == "autogen" ] || [ "${{ github.event.inputs.framework }}" == "all" ]; then
|
||||
echo "### AutoGen Real Tests:" >> real_test_report.md
|
||||
echo "- Environment verification" >> real_test_report.md
|
||||
echo "- Agent creation with real API calls" >> real_test_report.md
|
||||
@@ -122,7 +115,7 @@ jobs:
|
||||
echo "" >> real_test_report.md
|
||||
fi
|
||||
|
||||
if [ "$INPUT_FRAMEWORK" == "crewai" ] || [ "$INPUT_FRAMEWORK" == "all" ]; then
|
||||
if [ "${{ 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
|
||||
@@ -157,14 +150,11 @@ jobs:
|
||||
|
||||
steps:
|
||||
- name: 🛡️ Safety Check Failed
|
||||
env:
|
||||
INPUT_FRAMEWORK: ${{ github.event.inputs.framework }}
|
||||
INPUT_CONFIRM_COSTS: ${{ github.event.inputs.confirm_costs }}
|
||||
run: |
|
||||
echo "🚨 Real tests not executed due to safety checks:"
|
||||
echo ""
|
||||
echo "✅ Costs confirmed: $INPUT_CONFIRM_COSTS"
|
||||
echo "✅ Framework selected: $INPUT_FRAMEWORK"
|
||||
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)"
|
||||
|
||||
@@ -3,16 +3,8 @@ 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:
|
||||
@@ -22,12 +14,10 @@ jobs:
|
||||
env:
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
OPENAI_MODEL_NAME: gpt-4o-mini
|
||||
PYTHONUTF8: 1
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
persist-credentials: false
|
||||
|
||||
- name: Set up Python 3.11
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
@@ -37,13 +27,13 @@ jobs:
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
cd src/praisonai-agents
|
||||
pip install -e .
|
||||
pip install .
|
||||
shell: bash
|
||||
|
||||
- name: Install praisonai wrapper
|
||||
run: |
|
||||
cd src/praisonai
|
||||
pip install -e .
|
||||
pip install .[dev]
|
||||
shell: bash
|
||||
|
||||
# ==================== CORE IMPORTS ====================
|
||||
@@ -51,7 +41,7 @@ jobs:
|
||||
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')"
|
||||
python -c "from praisonaiagents import Task, WorkflowStep; print('Task/Step imports OK')"
|
||||
|
||||
# ==================== AGENT FEATURES ====================
|
||||
- name: Test Agent instantiation
|
||||
@@ -76,13 +66,21 @@ jobs:
|
||||
"
|
||||
|
||||
# ==================== WORKFLOW FEATURES ====================
|
||||
- name: Test Workflow
|
||||
- name: Test Workflow and WorkflowStep
|
||||
run: |
|
||||
python -c "
|
||||
from praisonaiagents import Workflow
|
||||
from praisonaiagents import Workflow, WorkflowStep
|
||||
from praisonaiagents.workflows import WorkflowOutputConfig
|
||||
|
||||
w = Workflow(name='test')
|
||||
s1 = WorkflowStep(name='step1')
|
||||
s2 = WorkflowStep(name='step2', context=['step1'])
|
||||
print('Workflow:', w.name)
|
||||
print('Steps:', s1.name, s2.name)
|
||||
|
||||
cfg = WorkflowOutputConfig(verbose=True, stream=False)
|
||||
w2 = Workflow(name='configured', output=cfg)
|
||||
print('Configured workflow verbose:', w2.verbose)
|
||||
"
|
||||
|
||||
# ==================== MEMORY FEATURES ====================
|
||||
@@ -176,18 +174,6 @@ jobs:
|
||||
run: praisonai queue list
|
||||
continue-on-error: true
|
||||
|
||||
# ==================== PACKAGING TESTS ====================
|
||||
- name: Test packaging/daemon entry points
|
||||
run: |
|
||||
echo "Testing both entry point methods..."
|
||||
python -m praisonai --version
|
||||
praisonai --version
|
||||
|
||||
- name: Test doctor packaging command
|
||||
run: |
|
||||
echo "Testing doctor packaging diagnostics..."
|
||||
praisonai doctor packaging --json
|
||||
|
||||
# ==================== REAL API TESTS ====================
|
||||
- name: Real API test - Agent run
|
||||
if: env.OPENAI_API_KEY != ''
|
||||
|
||||
@@ -0,0 +1,516 @@
|
||||
name: Quick Validation Tests
|
||||
|
||||
on: [push, pull_request]
|
||||
|
||||
jobs:
|
||||
quick-test:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 15
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: 3.11
|
||||
|
||||
- name: Install UV
|
||||
run: |
|
||||
curl -LsSf https://astral.sh/uv/install.sh | sh
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
cd src/praisonai
|
||||
uv pip install --system ."[ui,gradio,api,agentops,google,openai,anthropic,cohere,chat,code,realtime,call,crewai,autogen]"
|
||||
uv pip install --system duckduckgo_search
|
||||
uv pip install --system pytest pytest-asyncio pytest-cov pytest-timeout
|
||||
# Install knowledge dependencies from praisonai-agents
|
||||
uv pip install --system "praisonaiagents[knowledge]"
|
||||
|
||||
- name: Set environment variables
|
||||
run: |
|
||||
echo "OPENAI_API_KEY=${{ secrets.OPENAI_API_KEY || 'sk-test-key-for-github-actions-testing-only-not-real' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_API_BASE=${{ secrets.OPENAI_API_BASE || 'https://api.openai.com/v1' }}" >> $GITHUB_ENV
|
||||
echo "OPENAI_MODEL_NAME=${{ secrets.OPENAI_MODEL_NAME || 'gpt-5-nano' }}" >> $GITHUB_ENV
|
||||
echo "LOGLEVEL=DEBUG" >> $GITHUB_ENV
|
||||
echo "PYTHONPATH=${{ github.workspace }}/src/praisonai-agents:$PYTHONPATH" >> $GITHUB_ENV
|
||||
|
||||
- name: Backup Root Config Files
|
||||
run: |
|
||||
echo "🔄 Backing up root configuration files to prevent default file resolution interference..."
|
||||
echo "ℹ️ PraisonAI automatically uses 'agents.yaml' in working directory when no file specified"
|
||||
echo "ℹ️ This can interfere with test files that specify their own YAML files"
|
||||
if [ -f "agents.yaml" ]; then
|
||||
mv agents.yaml agents.yaml.backup
|
||||
echo "✅ Moved root agents.yaml to agents.yaml.backup"
|
||||
echo " - This prevents default file fallback during tests"
|
||||
fi
|
||||
if [ -f "tools.py" ]; then
|
||||
mv tools.py tools.py.backup
|
||||
echo "✅ Moved tools.py to tools.py.backup"
|
||||
fi
|
||||
|
||||
- name: Debug API Key Status
|
||||
run: |
|
||||
echo "🔍 Checking API key availability..."
|
||||
if [ -n "${{ secrets.OPENAI_API_KEY }}" ]; then
|
||||
echo "✅ GitHub secret OPENAI_API_KEY is available"
|
||||
echo "🔑 API key starts with: $(echo "$OPENAI_API_KEY" | cut -c1-7)..."
|
||||
else
|
||||
echo "⚠️ GitHub secret OPENAI_API_KEY is NOT set - using fallback"
|
||||
echo "🔑 Using fallback key: sk-test-key..."
|
||||
fi
|
||||
echo "🌐 API Base: $OPENAI_API_BASE"
|
||||
echo "🤖 Model: $OPENAI_MODEL_NAME"
|
||||
echo "🐛 Log Level: $LOGLEVEL"
|
||||
echo "📊 Environment Check:"
|
||||
echo " - OPENAI_API_KEY length: ${#OPENAI_API_KEY}"
|
||||
echo " - OPENAI_API_BASE: $OPENAI_API_BASE"
|
||||
echo " - OPENAI_MODEL_NAME: $OPENAI_MODEL_NAME"
|
||||
echo " - LOGLEVEL: $LOGLEVEL"
|
||||
|
||||
- name: Debug Python Environment Variables
|
||||
run: |
|
||||
python -c "
|
||||
import os
|
||||
print('🐍 Python Environment Variable Check:')
|
||||
api_key = os.environ.get('OPENAI_API_KEY', 'NOT_SET')
|
||||
if api_key != 'NOT_SET':
|
||||
print(f' ✅ OPENAI_API_KEY: {api_key[:7]}... (length: {len(api_key)})')
|
||||
else:
|
||||
print(' ❌ OPENAI_API_KEY: NOT_SET')
|
||||
print(f' 🌐 OPENAI_API_BASE: {os.environ.get(\"OPENAI_API_BASE\", \"NOT_SET\")}')
|
||||
print(f' 🤖 OPENAI_MODEL_NAME: {os.environ.get(\"OPENAI_MODEL_NAME\", \"NOT_SET\")}')
|
||||
print(f' 📋 All OPENAI env vars:')
|
||||
for key, value in os.environ.items():
|
||||
if key.startswith('OPENAI'):
|
||||
print(f' {key}: {value[:10] if len(value) > 10 else value}...')
|
||||
"
|
||||
|
||||
- name: Find Researcher Role Source
|
||||
run: |
|
||||
echo "🔍 Hunting for the mysterious 'Researcher' role..."
|
||||
cd src/praisonai
|
||||
python -c "
|
||||
import os
|
||||
import yaml
|
||||
import glob
|
||||
|
||||
print('📋 Searching for Researcher role in all YAML files:')
|
||||
yaml_files = glob.glob('src/praisonai/tests/*.yaml')
|
||||
|
||||
for yaml_file in yaml_files:
|
||||
try:
|
||||
with open(yaml_file, 'r') as f:
|
||||
config = yaml.safe_load(f)
|
||||
|
||||
# Check if any role contains 'researcher'
|
||||
roles = config.get('roles', {})
|
||||
for role_key, role_data in roles.items():
|
||||
role_name = role_data.get('role', '')
|
||||
if 'researcher' in role_key.lower() or 'researcher' in role_name.lower():
|
||||
print(f' 🎯 FOUND in {yaml_file}:')
|
||||
print(f' Framework: {config.get(\"framework\", \"NOT_SET\")}')
|
||||
print(f' Role key: {role_key}')
|
||||
print(f' Role name: {role_name}')
|
||||
print(f' All roles: {list(roles.keys())}')
|
||||
print()
|
||||
except Exception as e:
|
||||
print(f' ❌ Error reading {yaml_file}: {e}')
|
||||
|
||||
print('🔍 Checking for default configurations...')
|
||||
# Check if there are any default configs or hardcoded roles
|
||||
try:
|
||||
import praisonai
|
||||
print(f' PraisonAI package location: {praisonai.__file__}')
|
||||
|
||||
# Check if there are any example YAML files in the package
|
||||
package_dir = os.path.dirname(praisonai.__file__)
|
||||
for root, dirs, files in os.walk(package_dir):
|
||||
for file in files:
|
||||
if file.endswith(('.yaml', '.yml')):
|
||||
file_path = os.path.join(root, file)
|
||||
print(f' 📁 Found YAML in package: {file_path}')
|
||||
except Exception as e:
|
||||
print(f' ❌ Error checking package: {e}')
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Trace AutoGen Execution Path
|
||||
run: |
|
||||
echo "🔍 Tracing AutoGen execution to find where it diverges..."
|
||||
cd src/praisonai
|
||||
python -c "
|
||||
import os
|
||||
import sys
|
||||
sys.path.insert(0, '.')
|
||||
|
||||
try:
|
||||
from praisonai import PraisonAI
|
||||
from praisonai.agents_generator import AgentsGenerator
|
||||
|
||||
# Test the exact execution path
|
||||
print('🎯 Testing AutoGen execution path:')
|
||||
|
||||
praisonai = PraisonAI(agent_file='tests/autogen-agents.yaml')
|
||||
print(f' 1. PraisonAI framework: \"{praisonai.framework}\"')
|
||||
|
||||
agents_gen = AgentsGenerator(
|
||||
agent_file='tests/autogen-agents.yaml',
|
||||
framework=praisonai.framework,
|
||||
config_list=praisonai.config_list
|
||||
)
|
||||
print(f' 2. AgentsGenerator framework: \"{agents_gen.framework}\"')
|
||||
|
||||
# Load the YAML to check what it contains
|
||||
import yaml
|
||||
with open('src/praisonai/tests/autogen-agents.yaml', 'r') as f:
|
||||
config = yaml.safe_load(f)
|
||||
|
||||
framework = agents_gen.framework or config.get('framework')
|
||||
print(f' 3. Final framework decision: \"{framework}\"')
|
||||
print(f' 4. Available frameworks:')
|
||||
|
||||
# Check framework availability
|
||||
try:
|
||||
import autogen
|
||||
print(f' ✅ AutoGen available')
|
||||
except ImportError:
|
||||
print(f' ❌ AutoGen NOT available')
|
||||
|
||||
try:
|
||||
from praisonaiagents import Agent
|
||||
print(f' ✅ PraisonAI agents available')
|
||||
except ImportError:
|
||||
print(f' ❌ PraisonAI agents NOT available')
|
||||
|
||||
try:
|
||||
from crewai import Agent
|
||||
print(f' ✅ CrewAI available')
|
||||
except ImportError:
|
||||
print(f' ❌ CrewAI NOT available')
|
||||
|
||||
print(f' 5. Roles in YAML: {list(config.get(\"roles\", {}).keys())}')
|
||||
|
||||
# Now test the actual framework execution
|
||||
if framework == 'autogen':
|
||||
print(f' 6. ✅ Should execute _run_autogen')
|
||||
elif framework == 'praisonai':
|
||||
print(f' 6. ❌ Would execute _run_praisonai (WRONG!)')
|
||||
else:
|
||||
print(f' 6. ❌ Would execute _run_crewai (DEFAULT FALLBACK)')
|
||||
|
||||
except Exception as e:
|
||||
print(f'❌ Error tracing execution: {e}')
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Debug YAML Loading and Roles
|
||||
run: |
|
||||
echo "🔍 Tracing YAML file loading and role creation..."
|
||||
cd src/praisonai
|
||||
python -c "
|
||||
import os
|
||||
import sys
|
||||
import yaml
|
||||
sys.path.insert(0, '.')
|
||||
|
||||
print('📁 Available YAML files in src/praisonai/tests/:')
|
||||
import glob
|
||||
yaml_files = glob.glob('tests/*.yaml')
|
||||
for f in yaml_files:
|
||||
print(f' {f}')
|
||||
|
||||
print()
|
||||
print('📋 Content of autogen-agents.yaml:')
|
||||
with open('tests/autogen-agents.yaml', 'r') as f:
|
||||
config = yaml.safe_load(f)
|
||||
print(f' Framework: {config.get(\"framework\")}')
|
||||
print(f' Topic: {config.get(\"topic\")}')
|
||||
print(f' Roles: {list(config.get(\"roles\", {}).keys())}')
|
||||
for role_key, role_data in config.get('roles', {}).items():
|
||||
print(f' {role_key} -> {role_data.get(\"role\", \"NO_ROLE\")}')
|
||||
|
||||
print()
|
||||
print('🔍 Checking if execution uses a different YAML:')
|
||||
|
||||
# Check other YAML files for 'Researcher' role
|
||||
for yaml_file in yaml_files:
|
||||
try:
|
||||
with open(yaml_file, 'r') as f:
|
||||
test_config = yaml.safe_load(f)
|
||||
roles = test_config.get('roles', {})
|
||||
for role_key, role_data in roles.items():
|
||||
if 'researcher' in role_key.lower() or 'researcher' in role_data.get('role', '').lower():
|
||||
print(f' 🎯 FOUND Researcher in {yaml_file}!')
|
||||
print(f' Framework: {test_config.get(\"framework\")}')
|
||||
print(f' Role key: {role_key} -> {role_data.get(\"role\")}')
|
||||
except:
|
||||
pass
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Debug Framework Detection
|
||||
run: |
|
||||
echo "🔍 Testing framework detection and config flow..."
|
||||
python -c "
|
||||
import os
|
||||
import sys
|
||||
import yaml
|
||||
sys.path.insert(0, '.')
|
||||
|
||||
print('🔧 Testing framework detection:')
|
||||
|
||||
# Load the YAML file
|
||||
with open('tests/autogen-agents.yaml', 'r') as f:
|
||||
config = yaml.safe_load(f)
|
||||
|
||||
print(f' 📋 YAML framework: {config.get(\"framework\", \"NOT_SET\")}')
|
||||
print(f' 📋 YAML topic: {config.get(\"topic\", \"NOT_SET\")}')
|
||||
|
||||
try:
|
||||
from praisonai import PraisonAI
|
||||
from praisonai.agents_generator import AgentsGenerator
|
||||
|
||||
# Test PraisonAI initialization
|
||||
praisonai = PraisonAI(agent_file='tests/autogen-agents.yaml')
|
||||
print(f' 🎯 PraisonAI framework: {praisonai.framework}')
|
||||
|
||||
# Test AgentsGenerator initialization
|
||||
agents_gen = AgentsGenerator(
|
||||
agent_file='tests/autogen-agents.yaml',
|
||||
framework=praisonai.framework,
|
||||
config_list=praisonai.config_list
|
||||
)
|
||||
print(f' ⚙️ AgentsGenerator framework: {agents_gen.framework}')
|
||||
print(f' ⚙️ Final framework decision: {agents_gen.framework or config.get(\"framework\")}')
|
||||
|
||||
# Check config_list
|
||||
print(f' 🔑 Config list model: {praisonai.config_list[0].get(\"model\")}')
|
||||
print(f' 🔑 Config list API key: {praisonai.config_list[0].get(\"api_key\", \"NOT_SET\")[:10]}...')
|
||||
|
||||
except Exception as e:
|
||||
print(f'❌ Error in framework detection: {e}')
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Debug PraisonAIModel API Key Flow
|
||||
run: |
|
||||
echo "🔍 Testing PraisonAIModel API key handling..."
|
||||
cd src/praisonai
|
||||
python -c "
|
||||
import os
|
||||
import sys
|
||||
sys.path.insert(0, '.')
|
||||
|
||||
print('🔑 Environment API Key Check:')
|
||||
env_key = os.environ.get('OPENAI_API_KEY', 'NOT_FOUND')
|
||||
print(f' OPENAI_API_KEY: {env_key[:10] if env_key != \"NOT_FOUND\" else \"NOT_FOUND\"}...')
|
||||
|
||||
try:
|
||||
from praisonai.inc.models import PraisonAIModel
|
||||
|
||||
# Test PraisonAIModel with openai/gpt-5-nano (from YAML)
|
||||
model = PraisonAIModel(model='openai/gpt-5-nano')
|
||||
|
||||
print('🤖 PraisonAIModel Configuration:')
|
||||
print(f' model: {model.model}')
|
||||
print(f' model_name: {model.model_name}')
|
||||
print(f' api_key_var: {model.api_key_var}')
|
||||
print(f' api_key: {model.api_key[:10] if model.api_key != \"nokey\" else \"DEFAULT_NOKEY\"}...')
|
||||
print(f' base_url: {model.base_url}')
|
||||
|
||||
if model.api_key == 'nokey':
|
||||
print('❌ FOUND THE ISSUE: PraisonAIModel is using default \"nokey\" instead of environment variable!')
|
||||
else:
|
||||
print('✅ PraisonAIModel has valid API key from environment')
|
||||
|
||||
except Exception as e:
|
||||
print(f'❌ Error testing PraisonAIModel: {e}')
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Validate API Key
|
||||
run: |
|
||||
echo "🔑 Testing API key validity with minimal OpenAI call..."
|
||||
python -c "
|
||||
import os
|
||||
try:
|
||||
from openai import OpenAI
|
||||
client = OpenAI(api_key=os.environ.get('OPENAI_API_KEY'))
|
||||
# Make a minimal API call to test key validity
|
||||
response = client.models.list()
|
||||
print('✅ API Key is VALID - OpenAI responded successfully')
|
||||
print(f'📊 Available models: {len(list(response.data))} models found')
|
||||
except Exception as e:
|
||||
print(f'❌ API Key is INVALID - Error: {e}')
|
||||
print('🔍 This explains why all API-dependent tests are failing')
|
||||
print('💡 The GitHub secret OPENAI_API_KEY needs to be updated with a valid key')
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Test Direct PraisonAI Execution
|
||||
run: |
|
||||
echo "🧪 Testing direct PraisonAI execution (what works locally)..."
|
||||
python -m praisonai src/praisonai/tests/autogen-agents.yaml
|
||||
continue-on-error: true
|
||||
|
||||
- name: Comprehensive Execution Debug
|
||||
run: |
|
||||
echo "🔍 Comprehensive debugging of PraisonAI execution path..."
|
||||
cd src/praisonai
|
||||
python -c "
|
||||
import os
|
||||
import sys
|
||||
import yaml
|
||||
sys.path.insert(0, '.')
|
||||
|
||||
print('=' * 60)
|
||||
print('🔍 COMPREHENSIVE EXECUTION DEBUG')
|
||||
print('=' * 60)
|
||||
|
||||
# Check current working directory
|
||||
print(f'📁 Current working directory: {os.getcwd()}')
|
||||
|
||||
# List files in current directory
|
||||
print('📋 Files in current directory:')
|
||||
for f in os.listdir('.'):
|
||||
print(f' {f}')
|
||||
|
||||
print()
|
||||
print('📋 Files in src/praisonai/tests/ directory:')
|
||||
for f in os.listdir('tests'):
|
||||
if f.endswith('.yaml'):
|
||||
print(f' src/praisonai/tests/{f}')
|
||||
|
||||
# Check if root agents.yaml exists
|
||||
print()
|
||||
if os.path.exists('agents.yaml'):
|
||||
print('❌ ROOT agents.yaml EXISTS (this is the problem!)')
|
||||
with open('agents.yaml', 'r') as f:
|
||||
root_config = yaml.safe_load(f)
|
||||
print(f' Root framework: {root_config.get(\"framework\")}')
|
||||
print(f' Root roles: {list(root_config.get(\"roles\", {}).keys())}')
|
||||
else:
|
||||
print('✅ ROOT agents.yaml does NOT exist (good!)')
|
||||
|
||||
# Test the actual execution path
|
||||
print()
|
||||
print('🎯 Testing EXACT execution path:')
|
||||
|
||||
try:
|
||||
from praisonai import PraisonAI
|
||||
from praisonai.agents_generator import AgentsGenerator
|
||||
|
||||
# Test with full path
|
||||
test_file = 'src/praisonai/tests/autogen-agents.yaml'
|
||||
print(f' Using test file: {test_file}')
|
||||
print(f' File exists: {os.path.exists(test_file)}')
|
||||
|
||||
# Load the test file directly
|
||||
with open(test_file, 'r') as f:
|
||||
test_config = yaml.safe_load(f)
|
||||
print(f' Test file framework: {test_config.get(\"framework\")}')
|
||||
print(f' Test file roles: {list(test_config.get(\"roles\", {}).keys())}')
|
||||
|
||||
# Create PraisonAI instance
|
||||
praisonai = PraisonAI(agent_file=test_file)
|
||||
print(f' PraisonAI.agent_file: {praisonai.agent_file}')
|
||||
print(f' PraisonAI.framework: {praisonai.framework}')
|
||||
|
||||
# Create AgentsGenerator
|
||||
agents_gen = AgentsGenerator(
|
||||
agent_file=test_file,
|
||||
framework=praisonai.framework,
|
||||
config_list=praisonai.config_list
|
||||
)
|
||||
print(f' AgentsGenerator.agent_file: {agents_gen.agent_file}')
|
||||
print(f' AgentsGenerator.framework: {agents_gen.framework}')
|
||||
|
||||
# Test what would happen in generate_crew_and_kickoff
|
||||
print()
|
||||
print('🔧 Testing generate_crew_and_kickoff logic:')
|
||||
|
||||
# Simulate the loading logic
|
||||
if agents_gen.agent_yaml:
|
||||
loaded_config = yaml.safe_load(agents_gen.agent_yaml)
|
||||
print(' Would load from agent_yaml')
|
||||
else:
|
||||
if agents_gen.agent_file == '/app/api:app' or agents_gen.agent_file == 'api:app':
|
||||
agents_gen.agent_file = 'agents.yaml'
|
||||
print(f' Would change agent_file to: {agents_gen.agent_file}')
|
||||
try:
|
||||
with open(agents_gen.agent_file, 'r') as f:
|
||||
loaded_config = yaml.safe_load(f)
|
||||
print(f' Successfully loaded: {agents_gen.agent_file}')
|
||||
except FileNotFoundError:
|
||||
print(f' FileNotFoundError: {agents_gen.agent_file}')
|
||||
loaded_config = None
|
||||
|
||||
if loaded_config:
|
||||
final_framework = agents_gen.framework or loaded_config.get('framework')
|
||||
print(f' Final framework decision: {final_framework}')
|
||||
print(f' Loaded roles: {list(loaded_config.get(\"roles\", {}).keys())}')
|
||||
|
||||
if 'researcher' in loaded_config.get('roles', {}):
|
||||
print(' ❌ FOUND Researcher role in loaded config!')
|
||||
else:
|
||||
print(' ✅ No Researcher role in loaded config')
|
||||
|
||||
except Exception as e:
|
||||
print(f'❌ Error during execution debug: {e}')
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
"
|
||||
continue-on-error: true
|
||||
|
||||
- name: Run Fast Tests
|
||||
run: |
|
||||
# Run the fastest, most essential tests with coverage
|
||||
cd src/praisonai && python -m pytest tests/unit/test_core_agents.py -v --tb=short --disable-warnings --cov=praisonai --cov-report=xml --cov-branch
|
||||
|
||||
- name: Run Real API Tests
|
||||
run: |
|
||||
echo "🔑 Running real API tests with actual OpenAI API key..."
|
||||
cd src/praisonai && python -m pytest tests/test_agents_playbook.py -v --tb=short --disable-warnings -m real
|
||||
continue-on-error: true
|
||||
|
||||
- name: Run E2E Real Tests
|
||||
run: |
|
||||
echo "🧪 Running E2E real tests..."
|
||||
cd src/praisonai && python -m pytest tests/e2e/ -v --tb=short --disable-warnings -m real
|
||||
continue-on-error: true
|
||||
|
||||
- name: Run Legacy Example Tests
|
||||
run: |
|
||||
cd src/praisonai && python -m pytest tests/test.py -v --tb=short --disable-warnings -m "not real" --timeout=60
|
||||
continue-on-error: true
|
||||
|
||||
- name: Upload coverage reports to Codecov
|
||||
uses: codecov/codecov-action@v5
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
file: src/praisonai/coverage.xml
|
||||
flags: quick-validation
|
||||
name: quick-validation-coverage
|
||||
fail_ci_if_error: false
|
||||
verbose: true
|
||||
|
||||
- name: Restore Root Config Files
|
||||
run: |
|
||||
echo "🔄 Restoring root configuration files..."
|
||||
if [ -f "agents.yaml.backup" ]; then
|
||||
mv agents.yaml.backup agents.yaml
|
||||
echo "✅ Restored agents.yaml"
|
||||
fi
|
||||
if [ -f "tools.py.backup" ]; then
|
||||
mv tools.py.backup tools.py
|
||||
echo "✅ Restored tools.py"
|
||||
fi
|
||||
if: always() # Always run this step, even if previous steps failed
|
||||
@@ -52,6 +52,6 @@ jobs:
|
||||
with:
|
||||
commit_message: "docs: auto-update api.md [skip ci]"
|
||||
file_pattern: 'api.md'
|
||||
commit_user_name: "MervinPraison"
|
||||
commit_user_email: "454862+MervinPraison@users.noreply.github.com"
|
||||
commit_author: "MervinPraison <454862+MervinPraison@users.noreply.github.com>"
|
||||
commit_user_name: "github-actions[bot]"
|
||||
commit_user_email: "41898282+github-actions[bot]@users.noreply.github.com"
|
||||
commit_author: "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>"
|
||||
@@ -27,13 +27,11 @@ jobs:
|
||||
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 }}
|
||||
token: ${{ secrets.DOCS_PAT }}
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
@@ -45,7 +43,6 @@ jobs:
|
||||
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
|
||||
@@ -68,16 +65,16 @@ jobs:
|
||||
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: "454862+MervinPraison@users.noreply.github.com"
|
||||
commit_author: "MervinPraison <454862+MervinPraison@users.noreply.github.com>"
|
||||
commit_user_name: "github-actions[bot]"
|
||||
commit_user_email: "41898282+github-actions[bot]@users.noreply.github.com"
|
||||
commit_author: "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>"
|
||||
|
||||
- name: Commit and push changes to PraisonAIDocs
|
||||
if: steps.check_changes.outputs.changes == 'true' && steps.checkout_docs.outcome == 'success'
|
||||
if: steps.check_changes.outputs.changes == 'true'
|
||||
run: |
|
||||
cd PraisonAIDocs
|
||||
git config user.name "MervinPraison"
|
||||
git config user.email "454862+MervinPraison@users.noreply.github.com"
|
||||
git config user.name "github-actions[bot]"
|
||||
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
|
||||
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
|
||||
@@ -29,9 +29,6 @@ jobs:
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install dependencies
|
||||
run: pip install pyyaml
|
||||
|
||||
- name: Generate parity trackers
|
||||
run: |
|
||||
cd $GITHUB_WORKSPACE
|
||||
@@ -55,7 +52,7 @@ jobs:
|
||||
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: "454862+MervinPraison@users.noreply.github.com"
|
||||
commit_author: "MervinPraison <454862+MervinPraison@users.noreply.github.com>"
|
||||
commit_user_name: "github-actions[bot]"
|
||||
commit_user_email: "41898282+github-actions[bot]@users.noreply.github.com"
|
||||
commit_author: "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>"
|
||||
|
||||
+2
-8
@@ -21,7 +21,6 @@ docs.sh
|
||||
other
|
||||
output
|
||||
!src/praisonai/praisonai/cli/output/
|
||||
!src/praisonai-agents/praisonaiagents/output/
|
||||
|
||||
.files
|
||||
threads.db
|
||||
@@ -88,17 +87,12 @@ issue_details.json
|
||||
.internal
|
||||
.praisonai
|
||||
|
||||
# Backup files
|
||||
*.bak
|
||||
|
||||
# Rust / Cargo
|
||||
target/
|
||||
Cargo.lock
|
||||
**/*.rs.bk
|
||||
*.pdb
|
||||
.windsurf
|
||||
.agent
|
||||
|
||||
src/praisonai/build*.egg-info/
|
||||
src/praisonai/PraisonAI.egg-info/
|
||||
jobs/*
|
||||
*.egg-info
|
||||
src/praisonai/build
|
||||
@@ -1,10 +0,0 @@
|
||||
# Agent Instructions
|
||||
|
||||
You are working on the PraisonAI project.
|
||||
|
||||
## Project Guidelines
|
||||
- Follow the existing code style and conventions
|
||||
- Be concise and helpful in responses
|
||||
- Test implementation thoroughly
|
||||
- Ensure backward compatibility with existing APIs
|
||||
- Follow protocol-driven design: core protocols in praisonaiagents/, heavy implementations in praisonai/
|
||||
-437
@@ -1,437 +0,0 @@
|
||||
# PraisonAI Architecture
|
||||
|
||||
> **Last updated:** 2026-06-24
|
||||
>
|
||||
> Strategic architecture document for PraisonAI — a multi-agent AI framework.
|
||||
> Covers system design, runtime architecture, data contracts, reliability,
|
||||
> observability, and the 2-quarter road map.
|
||||
|
||||
---
|
||||
|
||||
## Table of Contents
|
||||
|
||||
1. [Executive Summary](#1-executive-summary)
|
||||
2. [System Overview](#2-system-overview)
|
||||
3. [Layered Architecture](#3-layered-architecture)
|
||||
4. [Core Data Contracts](#4-core-data-contracts)
|
||||
5. [Reliability by Design](#5-reliability-by-design)
|
||||
6. [Observability & Telemetry](#6-observability--telemetry)
|
||||
7. [Replay & Checkpointing](#7-replay--checkpointing)
|
||||
8. [Implementation Roadmap](#8-implementation-roadmap)
|
||||
9. [Success Metrics](#9-success-metrics)
|
||||
|
||||
---
|
||||
|
||||
## 1. Executive Summary
|
||||
|
||||
PraisonAI is a multi-agent AI framework with broad capability surface across
|
||||
Python, TypeScript, and Rust SDKs. The framework's core strength is its
|
||||
feature breadth — agent abstractions, integrations, workflows, and active
|
||||
release cadence.
|
||||
|
||||
The strategic bet for the next two quarters is building a **Reliability +
|
||||
Orchestration + Observability** core to unlock adoption and trust:
|
||||
|
||||
| Dimension | Current State | Target |
|
||||
|-----------|--------------|--------|
|
||||
| Reliability | Cross-platform mismatches, optional dep fragility | Deterministic gating, adapter abstraction, parity CI |
|
||||
| Determinism | Flaky tests, global state collisions | Isolated test fixtures, traceable tenant IDs |
|
||||
| Developer UX | Complex onboarding, implicit config | Golden-path CLI, Doctor Auto-Fix |
|
||||
| Observability | Minimal runtime tracing | Structured event bus, replay engine, failure classifier |
|
||||
|
||||
### Design Principles
|
||||
|
||||
- **Deterministic by default**, flexible by opt-in
|
||||
- **Policy-enforced execution boundaries** at every layer
|
||||
- **Structured events** for all lifecycle transitions
|
||||
- **Capability isolation** per agent and per tool
|
||||
|
||||
---
|
||||
|
||||
## 2. System Overview
|
||||
|
||||
```
|
||||
User/SDK/CLI
|
||||
→ Workflow Compiler (graph + policy + schemas)
|
||||
→ Execution Orchestrator (state machine, retries, fallbacks)
|
||||
→ Tool Runtime (sandbox + approval + capability scope)
|
||||
→ Model Runtime (provider abstraction + rate/timeout policy)
|
||||
→ Observability Bus (trace events + metrics + cost)
|
||||
→ Replay Engine (checkpoint + deterministic re-run)
|
||||
→ Persistence (session, memory, artifacts, run ledger)
|
||||
```
|
||||
|
||||
### Runtime Components
|
||||
|
||||
| Component | Responsibility | Interface |
|
||||
|-----------|---------------|-----------|
|
||||
| API/CLI Gateway | Accepts run requests, validates config/profile | `RunRequest`, `RunProfile` |
|
||||
| Workflow Compiler | Converts YAML/DSL to normalized execution graph | `CompiledGraph` |
|
||||
| Orchestrator | Executes graph state machine with retries/fallbacks | `ExecutionState`, `StepTransition` |
|
||||
| Tool Runtime | Runs tools with approval/sandbox policies | `ToolCall`, `ToolResult` |
|
||||
| Model Runtime | Provider routing, timeout, budget control | `ModelRequest`, `ModelResponse` |
|
||||
| Observability Bus | Streams structured events + metrics | `RunEvent` schema |
|
||||
| Replay Engine | Restarts from checkpoint with deterministic inputs | `ReplayRequest` |
|
||||
|
||||
### Existing Architecture (Python SDK)
|
||||
|
||||
The Python SDK is the primary runtime and is organised as follows:
|
||||
|
||||
- `src/praisonai/` — Core runtime and agent abstractions
|
||||
- `agents/` — Agent types (chat, code, realtime, audio, vision, etc.)
|
||||
- `llm/` — Model runtime with provider routing, rate limiting, failover
|
||||
- `tools/` — Tool runtime with sandbox, approval, retry
|
||||
- `memory/` — Memory runtime (in-memory, SQLite, MongoDB, Mem0 adapters)
|
||||
- `knowledge/` — Knowledge management (indexing, retrieval, chunking)
|
||||
- `workflow/` — Workflow engine (YAML/SDK-based orchestration)
|
||||
- `telemetry/` — Observability, monitoring, token tracking
|
||||
- `reliability/` — Error classification, circuit breaker, failover
|
||||
- `skill/` — Plugin/skill system
|
||||
- `loop_detection/` — Doom loop detection and prevention
|
||||
- `mcp/` — MCP protocol support
|
||||
- `a2a/`, `a2ui/` — Agent-to-agent and agent-to-UI protocols
|
||||
|
||||
### Multi-SDK Layout
|
||||
|
||||
- **Python SDK** — Primary runtime (`src/praisonai/`)
|
||||
- **TypeScript SDK** — JS/TS runtime (`ts-sdk/`)
|
||||
- **Rust SDK** — High-performance Rust runtime (`rust-sdk/`)
|
||||
- **CLI** — Command-line interface (`cli/`)
|
||||
- **UI** — Web UI (`ui/`)
|
||||
|
||||
---
|
||||
|
||||
## 3. Layered Architecture
|
||||
|
||||
```mermaid
|
||||
flowchart TB
|
||||
subgraph UX["Interface Layer"]
|
||||
CLI[CLI]
|
||||
SDK[SDK]
|
||||
API[API Gateway]
|
||||
end
|
||||
|
||||
subgraph Control["Control Plane"]
|
||||
Compiler[Workflow Compiler]
|
||||
Policy[Policy Engine]
|
||||
Orchestrator[Execution Orchestrator]
|
||||
end
|
||||
|
||||
subgraph Runtime["Runtime Plane"]
|
||||
ModelRT[Model Runtime]
|
||||
ToolRT[Tool Runtime]
|
||||
MemoryRT[Memory Runtime]
|
||||
end
|
||||
|
||||
subgraph Observe["Observability Plane"]
|
||||
EventBus[Run Event Bus]
|
||||
Metrics[Metrics + Cost]
|
||||
Replay[Replay Engine]
|
||||
end
|
||||
|
||||
subgraph Data["Data Plane"]
|
||||
Ledger[Run Ledger]
|
||||
Checkpoints[Checkpoints]
|
||||
Artifacts[Artifacts Store]
|
||||
end
|
||||
|
||||
CLI --> API
|
||||
SDK --> API
|
||||
API --> Compiler
|
||||
API --> Policy
|
||||
Compiler --> Orchestrator
|
||||
Policy --> Orchestrator
|
||||
Orchestrator --> ModelRT
|
||||
Orchestrator --> ToolRT
|
||||
Orchestrator --> MemoryRT
|
||||
Orchestrator --> EventBus
|
||||
EventBus --> Metrics
|
||||
EventBus --> Replay
|
||||
Orchestrator --> Ledger
|
||||
Orchestrator --> Checkpoints
|
||||
ToolRT --> Artifacts
|
||||
Replay --> Checkpoints
|
||||
```
|
||||
|
||||
### Interface Layer
|
||||
|
||||
- **CLI** — The `praisonai` command-line entry point
|
||||
- **SDK** — Python library API (`from praisonai import Agent`)
|
||||
- **API Gateway** — HTTP/WebSocket REST API (`praisonai api` or `a2a`/`a2ui`)
|
||||
|
||||
### Control Plane
|
||||
|
||||
- **Workflow Compiler** — Converts YAML workflows and SDK-defined graphs into
|
||||
a normalized `CompiledGraph` with adjacency validation and cycle detection.
|
||||
- **Policy Engine** — Enforces runtime policies (budget, timeout, approval
|
||||
gates, capability validation) before and during execution.
|
||||
- **Execution Orchestrator** — Drives the state machine through graph nodes,
|
||||
handling retry, fallback, and failure classification.
|
||||
|
||||
### Runtime Plane
|
||||
|
||||
- **Model Runtime** — Provider abstraction layer. Routes to OpenAI, Anthropic,
|
||||
Gemini, Ollama, DeepSeek, etc. Handles rate limiting, token tracking, and
|
||||
automatic failover between providers.
|
||||
- **Tool Runtime** — Executes tool calls with configurable sandboxing,
|
||||
approval gates, retry policies, and capability scope validation.
|
||||
- **Memory Runtime** — Manages session memory, persistent memory stores,
|
||||
and knowledge retrieval across in-memory, SQLite, and MongoDB backends.
|
||||
|
||||
### Observability Plane
|
||||
|
||||
- **Run Event Bus** — Structured event streaming for all lifecycle transitions
|
||||
(START, INPUT, MODEL_CALL, TOOL_CALL, ERROR, RETRY, COMPLETE).
|
||||
- **Metrics + Cost** — Token counting, cost tracking, and performance metrics.
|
||||
- **Replay Engine** — Deterministic replay from the last stable checkpoint,
|
||||
with state hash verification.
|
||||
|
||||
### Data Plane
|
||||
|
||||
- **Run Ledger** — Persistent record of all runs with state, metrics, and
|
||||
failure classifications.
|
||||
- **Checkpoints** — Point-in-time snapshots of run state, memory, and
|
||||
artifacts for replay and recovery.
|
||||
- **Artifacts Store** — Tool outputs, generated files, and intermediate
|
||||
results.
|
||||
|
||||
---
|
||||
|
||||
## 4. Core Data Contracts
|
||||
|
||||
### RunRequest
|
||||
|
||||
```text
|
||||
RunRequest {
|
||||
run_id: UUID,
|
||||
workflow_ref: string,
|
||||
inputs: object,
|
||||
profile: {safe_mode, budget, timeout, approval_policy},
|
||||
context: {user_id, workspace_id, env}
|
||||
}
|
||||
```
|
||||
|
||||
### RunEvent
|
||||
|
||||
```text
|
||||
RunEvent {
|
||||
ts: ISO8601,
|
||||
run_id: UUID,
|
||||
step_id: string,
|
||||
type: START | INPUT | MODEL_CALL | TOOL_CALL |
|
||||
ERROR | RETRY | COMPLETE,
|
||||
payload: object,
|
||||
cost: {tokens_in, tokens_out, usd},
|
||||
latency_ms: number
|
||||
}
|
||||
```
|
||||
|
||||
### Checkpoint
|
||||
|
||||
```text
|
||||
Checkpoint {
|
||||
run_id: UUID,
|
||||
step_id: string,
|
||||
state_hash: string,
|
||||
memory_snapshot_ref: string,
|
||||
artifact_refs: string[]
|
||||
}
|
||||
```
|
||||
|
||||
### Execution Sequence
|
||||
|
||||
```text
|
||||
1) Client submits RunRequest
|
||||
2) Gateway validates profile + schema
|
||||
3) Compiler resolves workflow → CompiledGraph
|
||||
4) Orchestrator starts node execution
|
||||
5) Node may call Model Runtime or Tool Runtime
|
||||
6) Every transition emits RunEvent
|
||||
7) On failure: classifier decides retry/fallback/abort
|
||||
8) Checkpoint stored after each critical step
|
||||
9) Final state + artifacts persisted to run ledger
|
||||
10) Replay can resume from last stable checkpoint
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 5. Reliability by Design
|
||||
|
||||
### Error Taxonomy
|
||||
|
||||
All failures are classified into one of five categories for automatic
|
||||
remediation:
|
||||
|
||||
| Category | Description | Default Action |
|
||||
|----------|-------------|----------------|
|
||||
| `config` | Invalid configuration or profile | Abort with remediation hint |
|
||||
| `dependency` | Missing optional module or capability | Degrade / skip optional path |
|
||||
| `tool` | Tool execution failure | Retry with backoff and policy cap |
|
||||
| `model` | Model API error or timeout | Fallback to alternate provider/route |
|
||||
| `infra` | Network or resource exhaustion | Circuit-breaker + replay from checkpoint |
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
S[Step Failure] --> T{Failure Type?}
|
||||
T -->|Config| C1[Abort + config remediation hint]
|
||||
T -->|Dependency| C2[Degrade capability / skip optional path]
|
||||
T -->|Tool| C3[Retry with backoff and policy cap]
|
||||
T -->|Model| C4[Fallback model/provider route]
|
||||
T -->|Infra| C5[Circuit-breaker + replay from checkpoint]
|
||||
```
|
||||
|
||||
### Hardening Checklist
|
||||
|
||||
- **Dependency gates** — Optional modules declared as capabilities;
|
||||
unavailable capability results in skip/degrade, not crash.
|
||||
- **Cross-platform adapters** — OS-specific implementations behind a single
|
||||
interface (e.g., file lock adapter for Windows/Linux/macOS).
|
||||
- **Idempotent fixtures** — Integration tests use unique tenant/workspace IDs
|
||||
and guaranteed teardown.
|
||||
- **Fail-safe output mode** — CLI rendering falls back to ASCII-safe mode on
|
||||
encoding mismatch.
|
||||
- **CI parity matrix** — Run smoke workflows across Windows, Linux, and macOS.
|
||||
|
||||
### Deterministic Test Pattern
|
||||
|
||||
```python
|
||||
# Integration test pattern — always use unique, traceable IDs
|
||||
import uuid
|
||||
|
||||
def test_agent_workflow():
|
||||
tenant_id = f"test-{uuid.uuid4().hex[:8]}"
|
||||
agent = Agent(name=f"agent-{tenant_id}", ...)
|
||||
result = agent.run("task")
|
||||
assert result.status == "success"
|
||||
# teardown is guaranteed via fixture or context manager
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 6. Observability & Telemetry
|
||||
|
||||
### Current Telemetry Stack
|
||||
|
||||
PraisonAI already includes:
|
||||
|
||||
- **OpenTelemetry integration** — Manual and auto-instrumentation for
|
||||
traces, metrics, and logs.
|
||||
- **Token tracking** — Per-call and cumulative token/cost tracking.
|
||||
- **Performance monitoring** — Real-time dashboards and monitoring views.
|
||||
- **LangTrace integration** — LangTrace provider for tracing.
|
||||
- **Run outcomes** — Structured `RunOutcome` objects with status, duration,
|
||||
token usage, and error classification.
|
||||
|
||||
### Planned Enhancements
|
||||
|
||||
- **Run Event Bus** — Stream all lifecycle events as structured `RunEvent`
|
||||
payloads.
|
||||
- **Failure classifier** — Automatic failure category detection with
|
||||
remediation hints.
|
||||
- **Run ledger visualization** — Timeline view of runs with step-by-step
|
||||
event drill-down.
|
||||
- **Replay integration** — Checkpoint-based run replay from the
|
||||
observability dashboard.
|
||||
|
||||
---
|
||||
|
||||
## 7. Replay & Checkpointing
|
||||
|
||||
### Design
|
||||
|
||||
```mermaid
|
||||
sequenceDiagram
|
||||
participant U as User/Client
|
||||
participant G as Gateway
|
||||
participant C as Compiler
|
||||
participant O as Orchestrator
|
||||
participant R as Model/Tool Runtime
|
||||
participant E as Event Bus
|
||||
participant L as Run Ledger
|
||||
participant K as Checkpoint Store
|
||||
|
||||
U->>G: Submit RunRequest
|
||||
G->>C: Validate + compile workflow
|
||||
C-->>O: CompiledGraph
|
||||
O->>R: Execute next step
|
||||
R-->>O: Step output / error
|
||||
O->>E: Emit structured RunEvent
|
||||
O->>K: Persist checkpoint
|
||||
O->>L: Persist run state + metrics
|
||||
O-->>U: Final result / failure summary
|
||||
```
|
||||
|
||||
### Current State
|
||||
|
||||
- Basic run outcome persistence exists
|
||||
- Session persistence for bot/multi-turn conversations
|
||||
- Token and cost tracking per run
|
||||
|
||||
### Roadmap
|
||||
|
||||
- Full checkpoint creation at configurable step granularity
|
||||
- State hash verification for deterministic replay
|
||||
- Replay API endpoint (`POST /runs/{id}/replay`)
|
||||
- Checkpoint pruning and retention policy
|
||||
|
||||
---
|
||||
|
||||
## 8. Implementation Roadmap
|
||||
|
||||
### Quarter 1: Trust Foundation (Q3 2026)
|
||||
|
||||
| Priority | Project | Description | Status |
|
||||
|----------|---------|-------------|--------|
|
||||
| P0 | Reliability Core | Cross-platform hardening, optional-dep gating, deterministic fixtures | In progress |
|
||||
| P0 | Doctor Auto-Fix | Automated environment diagnosis and repairs | Planned |
|
||||
| P1 | Golden-Path CLI | Single canonical flow: init → run → test → deploy | Planned |
|
||||
| P1 | CI Parity Matrix | Cross-platform smoke tests in CI pipeline | Planned |
|
||||
|
||||
### Quarter 2: Operational Excellence (Q4 2026)
|
||||
|
||||
| Priority | Project | Description | Status |
|
||||
|----------|---------|-------------|--------|
|
||||
| P1 | Trace + Replay | Run timeline, checkpoint replay, failure classifier | Planned |
|
||||
| P1 | Failure Classifier | Automatic failure category detection with remediation | Planned |
|
||||
| P2 | Graph Studio UX | Visual deterministic orchestration editor/inspector | Planned |
|
||||
| P2 | Safe Production Profiles | Policy presets: guardrails, approvals, cost/time caps | Planned |
|
||||
|
||||
```mermaid
|
||||
gantt
|
||||
title PraisonAI Architecture Program (2 Quarters)
|
||||
dateFormat YYYY-MM-DD
|
||||
section Quarter 1
|
||||
Reliability hardening + parity CI :a1, 2026-07-01, 45d
|
||||
Deterministic test isolation :a2, 2026-07-10, 50d
|
||||
Doctor Auto-Fix MVP :a3, 2026-07-20, 40d
|
||||
Golden-path CLI :a4, 2026-08-01, 45d
|
||||
section Quarter 2
|
||||
Trace bus + run ledger :b1, 2026-10-01, 45d
|
||||
Replay engine :b2, 2026-10-15, 45d
|
||||
Failure classifier :b3, 2026-11-01, 30d
|
||||
Graph UX beta + Safe profiles :b4, 2026-11-10, 50d
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 9. Success Metrics
|
||||
|
||||
### KPI Targets
|
||||
|
||||
| KPI | Target | Primary Workstream |
|
||||
|-----|--------|-------------------|
|
||||
| Time-to-first-successful run | 30-40% reduction | Golden-path CLI + Doctor Auto-Fix |
|
||||
| Cross-platform issue rate | 50% reduction | Reliability Core + adapter layer |
|
||||
| Incident triage time | 40% reduction | Trace + Replay + failure classifier |
|
||||
| CI confidence | Flaky test rate <2% | Deterministic tests + fixture isolation |
|
||||
|
||||
### Governance
|
||||
|
||||
- **Architecture Review Council** — Reviews runtime-contract changes
|
||||
- **Release Quality Gate** — Platform matrix + deterministic test thresholds
|
||||
- **Monthly telemetry review** — DX, reliability, adoption trends
|
||||
|
||||
|
||||
---
|
||||
|
||||
*This document is a living reference. Update as the architecture evolves.*
|
||||
@@ -1,14 +0,0 @@
|
||||
# Contributing to PraisonAI
|
||||
|
||||
Thank you for your interest! Here's how to get started:
|
||||
|
||||
1. Fork the repository
|
||||
2. Create a feature branch
|
||||
3. Make your changes
|
||||
4. Submit a pull request
|
||||
|
||||
## Guidelines
|
||||
|
||||
- Follow existing code style
|
||||
- Add tests for new features
|
||||
- Update documentation as needed
|
||||
@@ -1,8 +1,8 @@
|
||||
<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" />
|
||||
<source media="(prefers-color-scheme: dark)" srcset="src/praisonai/praisonai/public/logo_dark.png" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="src/praisonai/praisonai/public/logo_light.png" />
|
||||
<img alt="PraisonAI Logo" src="src/praisonai/praisonai/public/logo_light.png" width="250" />
|
||||
</picture>
|
||||
</p>
|
||||
|
||||
@@ -23,45 +23,12 @@
|
||||
|
||||
</div>
|
||||
|
||||
PraisonAI 🦞 — **Hire a 24/7 AI Workforce.** Stop writing boilerplate and start shipping autonomous, self-improving agents that research, plan, and execute tasks across your apps. From one agent to an entire organization, deployed in 5 lines of code.
|
||||
|
||||
```bash
|
||||
curl -fsSL https://praison.ai/install.sh | bash
|
||||
```
|
||||
|
||||
<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>
|
||||
PraisonAI 🦞 — Automate and solve complex challenges with AI agent teams that plan, research, code, and deliver results to Telegram, Discord, and WhatsApp — running 24/7. A low-code, production-ready multi-agent framework with handoffs, guardrails, memory, RAG, and 100+ LLM providers, built around simplicity, customisation, and effective human-agent collaboration.
|
||||
|
||||
<p align="center">
|
||||
<img src=".github/images/dashboard.png" alt="PraisonAI Dashboard" width="800" />
|
||||
<img src="src/praisonai/praisonai/public/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">
|
||||
@@ -72,6 +39,25 @@ curl -fsSL https://praison.ai/install.sh | bash
|
||||
|
||||
---
|
||||
|
||||
> **Quick Paths:**
|
||||
> - 🆕 **New here?** → [Quick Start](#-quick-start) *(1 minute to first agent)*
|
||||
> - 📦 **Installing?** → [Installation](#-installation)
|
||||
> - 🐍 **Python SDK?** → [Python Examples](#-using-python-code)
|
||||
> - 🎯 **CLI user?** → [CLI Quick Reference](#cli-quick-reference)
|
||||
> - 🤝 **Contributing?** → [Development](#-development)
|
||||
|
||||
---
|
||||
|
||||
## ⚡ 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** |
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Use Cases
|
||||
|
||||
AI agents solving real-world problems across industries:
|
||||
@@ -87,44 +73,9 @@ AI agents solving real-world problems across industries:
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Meet your first Agent (Under 1 Minute)
|
||||
## Supported Providers
|
||||
|
||||
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).
|
||||
PraisonAI supports 100+ LLM providers through seamless integration:
|
||||
|
||||
<p align="center">
|
||||
<img src="https://img.shields.io/badge/OpenAI-412991?style=flat&logo=openai&logoColor=white" alt="OpenAI" />
|
||||
@@ -182,14 +133,6 @@ Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
|
||||
|
||||
</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?
|
||||
@@ -230,6 +173,55 @@ Powered by 100+ LLMs (OpenAI, Anthropic, Gemini & local models).
|
||||
|
||||
</details>
|
||||
|
||||
---
|
||||
|
||||
## 🚀 Quick Start
|
||||
|
||||
Get started with PraisonAI in under 1 minute:
|
||||
|
||||
```bash
|
||||
# Install
|
||||
pip install praisonaiagents
|
||||
|
||||
# Set API key
|
||||
export OPENAI_API_KEY=your_key_here
|
||||
|
||||
# Create a simple agent
|
||||
python -c "from praisonaiagents import Agent; Agent(instructions='You are a helpful AI assistant').start('Write a haiku about AI')"
|
||||
```
|
||||
|
||||
> **Next Steps:** [Single Agent Example](#1-single-agent) | [Multi Agents](#2-multi-agents) | [Full Docs](https://docs.praison.ai)
|
||||
|
||||
---
|
||||
|
||||
## 📦 Installation
|
||||
|
||||
### Python SDK
|
||||
|
||||
Lightweight package dedicated for coding:
|
||||
|
||||
```bash
|
||||
pip install praisonaiagents
|
||||
```
|
||||
|
||||
For the full framework with CLI support:
|
||||
|
||||
```bash
|
||||
pip install praisonai
|
||||
```
|
||||
|
||||
🦞 **AgentClaw** — full UI with bots, memory, knowledge, and gateway:
|
||||
|
||||
```bash
|
||||
pip install "praisonai[claw]"
|
||||
praisonai claw
|
||||
```
|
||||
|
||||
### JavaScript SDK
|
||||
|
||||
```bash
|
||||
npm install praisonai
|
||||
```
|
||||
|
||||
|
||||
|
||||
@@ -294,35 +286,8 @@ def search(query: str) -> str:
|
||||
|
||||
@tool
|
||||
def calculate(expression: str) -> float:
|
||||
"""Safely evaluate a numeric arithmetic expression."""
|
||||
import ast
|
||||
import operator
|
||||
|
||||
# Define allowed operations
|
||||
_OPS = {
|
||||
ast.Add: operator.add,
|
||||
ast.Sub: operator.sub,
|
||||
ast.Mult: operator.mul,
|
||||
ast.Div: operator.truediv,
|
||||
ast.Pow: operator.pow,
|
||||
ast.USub: operator.neg,
|
||||
ast.UAdd: operator.pos,
|
||||
}
|
||||
|
||||
def _safe_eval(node):
|
||||
if isinstance(node, ast.Constant) and isinstance(node.value, (int, float)):
|
||||
return node.value
|
||||
elif isinstance(node, ast.BinOp) and type(node.op) in _OPS:
|
||||
return _OPS[type(node.op)](_safe_eval(node.left), _safe_eval(node.right))
|
||||
elif isinstance(node, ast.UnaryOp) and type(node.op) in _OPS:
|
||||
return _OPS[type(node.op)](_safe_eval(node.operand))
|
||||
else:
|
||||
raise ValueError("Unsupported expression")
|
||||
|
||||
try:
|
||||
return _safe_eval(ast.parse(expression, mode="eval").body)
|
||||
except (ValueError, SyntaxError, TypeError, ZeroDivisionError, OverflowError):
|
||||
raise ValueError("Invalid arithmetic expression")
|
||||
"""Evaluate a math expression."""
|
||||
return eval(expression)
|
||||
|
||||
agent = Agent(
|
||||
instructions="You are a helpful assistant",
|
||||
@@ -331,7 +296,6 @@ agent = Agent(
|
||||
agent.start("Search for AI news and calculate 15*4")
|
||||
```
|
||||
|
||||
> ⚠️ **Security Note:** Never use `eval()`, `exec()`, or `subprocess` in tool functions that process LLM-generated or user-supplied input. Always validate and sanitize inputs to prevent code injection attacks.
|
||||
> 📖 [Full tools docs](https://docs.praison.ai/docs/tools/tools) — BaseTool, tool packages, 100+ built-in tools
|
||||
|
||||
### 5. Persistence (Databases)
|
||||
@@ -349,7 +313,7 @@ agent.chat("Hello!") # Auto-persists messages, runs, traces
|
||||
|
||||
> 📖 [Full persistence docs](https://docs.praison.ai/docs/databases/overview) — PostgreSQL, MySQL, SQLite, MongoDB, Redis, and 20+ more
|
||||
|
||||
### 6. PraisonAI Claw 🦞 (Dashboard UI)
|
||||
### 6. AgentClaw 🦞 (Dashboard UI)
|
||||
|
||||
Connect your AI agents to **Telegram, Discord, Slack, WhatsApp** and more — all from a single command.
|
||||
|
||||
@@ -358,116 +322,10 @@ pip install "praisonai[claw]"
|
||||
praisonai claw
|
||||
```
|
||||
|
||||
#### Required Environment Variables
|
||||
|
||||
Copy `.env.example` to `.env` and configure the following variables:
|
||||
|
||||
| Variable | Required | Description |
|
||||
|----------|----------|-------------|
|
||||
| `OPENAI_API_KEY` | Yes | OpenAI API key for all LLM calls |
|
||||
| `TAVILY_API_KEY` | Yes (Claw) | Tavily key for the built-in web-search tool. Get one free at https://app.tavily.com |
|
||||
|
||||
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.
|
||||
|
||||
> 📖 [Full Claw docs](https://docs.praison.ai/docs/concepts/claw) — platform tokens, CLI options, Docker, and YAML agent mode
|
||||
|
||||
### 7. Langflow Integration 🔗 (Visual Flow Builder)
|
||||
|
||||
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/agentflow) — 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
|
||||
@@ -691,7 +549,6 @@ praisonai agents.yaml
|
||||
| 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) |
|
||||
| Langfuse Tracing | [Docs](https://docs.praison.ai/docs/observability/langfuse) | [📖](https://docs.praison.ai/docs/observability/langfuse) |
|
||||
| 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) |
|
||||
@@ -766,20 +623,6 @@ 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 around 14μs. This reduces overhead, improves responsiveness, and helps multi-agent systems scale efficiently in real-world production workloads.
|
||||
|
||||
| Performance Metric | PraisonAI |
|
||||
|--------------------|-----------|
|
||||
| Avg Instantiation Time | **14 μs** |
|
||||
|
||||
---
|
||||
|
||||
|
||||
|
||||
---
|
||||
|
||||
## ⭐ Star History
|
||||
@@ -788,19 +631,6 @@ PraisonAI is built for speed, with agent instantiation in around 14μs. This red
|
||||
|
||||
---
|
||||
|
||||
## 🔍 Langfuse Tracing
|
||||
|
||||
```bash
|
||||
pip install "praisonai[langfuse]"
|
||||
praisonai langfuse
|
||||
```
|
||||
|
||||
<p align="center">
|
||||
<img src=".github/images/langfuse.png" alt="PraisonAI Langfuse Tracing" width="800" />
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
## 🎓 Video Tutorials
|
||||
|
||||
Learn PraisonAI through our comprehensive video series:
|
||||
|
||||
-66
@@ -1,66 +0,0 @@
|
||||
# Security Policy
|
||||
|
||||
PraisonAI takes security seriously. We appreciate responsible disclosure from researchers and users.
|
||||
|
||||
## Supported packages
|
||||
|
||||
| Package | Registry | Source path |
|
||||
|---------|----------|-------------|
|
||||
| `praisonaiagents` | [PyPI](https://pypi.org/project/praisonaiagents/) | `src/praisonai-agents/` |
|
||||
| `praisonai` | [PyPI](https://pypi.org/project/praisonai/) | `src/praisonai/` |
|
||||
| `praisonai-platform` | [PyPI](https://pypi.org/project/praisonai-platform/) | `src/praisonai-platform/` |
|
||||
| `praisonai` | [npm](https://www.npmjs.com/package/praisonai) | `src/praisonai-ts/` |
|
||||
|
||||
Report issues against the **specific package** where the vulnerability exists. A platform-only issue does not necessarily affect the core SDK, and vice versa.
|
||||
|
||||
## In scope
|
||||
|
||||
- Authentication, authorisation, and multi-tenant isolation (e.g. workspace boundaries)
|
||||
- Tool execution, sandbox escape, and code execution paths
|
||||
- SSRF, injection, and unsafe deserialisation in shipped code
|
||||
- MCP, gateway, and bot/webhook integrations
|
||||
- Secrets handling, JWT/session configuration, and default credentials
|
||||
- Supply-chain issues in published package artefacts
|
||||
|
||||
## Out of scope
|
||||
|
||||
- Issues in forks or deployments not maintained in [MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI)
|
||||
- Vulnerabilities requiring physical access or fully compromised operator machines
|
||||
- Reports against versions no longer published or without a supported upgrade path
|
||||
- Theoretical issues with no practical impact in documented, supported configurations
|
||||
- Behaviour covered by an explicit, documented opt-out (e.g. dev-only env vars)
|
||||
|
||||
## How to report
|
||||
|
||||
**Preferred:** open a **private** security advisory:
|
||||
|
||||
[https://github.com/MervinPraison/PraisonAI/security/advisories/new](https://github.com/MervinPraison/PraisonAI/security/advisories/new)
|
||||
|
||||
Include:
|
||||
|
||||
1. Affected package and version
|
||||
2. Clear reproduction steps
|
||||
3. Impact assessment (confidentiality, integrity, availability)
|
||||
4. Suggested fix (optional)
|
||||
|
||||
Please allow reasonable time for triage and a patched release before public disclosure.
|
||||
|
||||
## What to expect
|
||||
|
||||
1. **Triage** — we validate the report and assign a disposition (`real`, `duplicate`, `wontfix`, etc.)
|
||||
2. **Fix** — minimal, backward-compatible patch on `main` where appropriate
|
||||
3. **Release** — patched version published to PyPI/npm **before** the advisory is published
|
||||
4. **Advisory** — GitHub Security Advisory with reporter credit and CVE where applicable
|
||||
|
||||
## Resources
|
||||
|
||||
- **Repository:** https://github.com/MervinPraison/PraisonAI
|
||||
- **Documentation:** https://docs.praison.ai
|
||||
- **Website:** https://praison.ai
|
||||
- **Advisories:** https://github.com/MervinPraison/PraisonAI/security/advisories
|
||||
|
||||
## Maintainer workflow
|
||||
|
||||
Contributors and agents handling audits should follow:
|
||||
|
||||
`src/praisonai-agents/.agent/workflows/security-audit.md`
|
||||
@@ -15,7 +15,6 @@ Methods:
|
||||
* <code title="class GuardrailResult">GuardrailResult.<a href="./src/praisonai-agents/praisonaiagents/guardrails/guardrail_result.py">from_tuple</a>(result: Tuple[bool, Any]) -> 'GuardrailResult'</code>
|
||||
* <code title="class HandoffConfig">HandoffConfig.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">from_dict</a>(data: Dict[str, Any]) -> 'HandoffConfig'</code>
|
||||
* <code title="class HandoffConfig">HandoffConfig.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class HandoffResult">HandoffResult.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">from_outcome</a>(outcome: AgentRunOutcome, target_agent: Optional[str] = None, source_agent: Optional[str] = None, handoff_depth: int = 0) -> 'HandoffResult'</code>
|
||||
* <code title="class TaskOutput">TaskOutput.<a href="./src/praisonai-agents/praisonaiagents/main.py">json</a>() -> Optional[str]</code>
|
||||
* <code title="class TaskOutput">TaskOutput.<a href="./src/praisonai-agents/praisonaiagents/main.py">to_dict</a>() -> dict</code>
|
||||
* <code title="class ToolResult">ToolResult.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
@@ -29,29 +28,39 @@ from praisonaiagents import Agent, AutoAgents, AutoRagAgent, ContextAgent, DeepR
|
||||
|
||||
Methods:
|
||||
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">aclose</a>() -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">add_mcp_server</a>(name: str, mcp: Any) -> Any</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">agent_id</a>() -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">achat</a>(prompt: str, temperature = 1.0, tools = None, output_json = None, output_pydantic = None, reasoning_steps = False, task_name = None, task_description = None, task_id = None, attachments = None)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">aexecute</a>(task, context = None)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">agent_id</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">analyze_prompt</a>(prompt: str) -> set</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>() -> Optional[bool]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>(value: Optional[bool]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">background</a>() -> Optional[bool]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">background</a>(value: Optional[bool]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat_history</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat_history</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">arun</a>(prompt: str, **kwargs)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">as_tool</a>(description: Optional[str] = None, tool_name: Optional[str] = None) -> 'Handoff'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">astart</a>(prompt: str, **kwargs)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">auto_memory</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">background</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">background</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat</a>(prompt, temperature = 1.0, tools = None, output_json = None, output_pydantic = None, reasoning_steps = False, stream = None, task_name = None, task_description = None, task_id = None, config = None, force_retrieval = False, skip_retrieval = False, attachments = None, tool_choice = None)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">chat_with_context</a>(message: str, context: 'ContextPack', **kwargs) -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">checkpoints</a>() -> Optional[bool]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">checkpoints</a>(value: Optional[bool]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">clone_for_channel</a>() -> 'Agent'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">close</a>() -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">console</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">context_manager</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">check_pending_approvals</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">checkpoints</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">checkpoints</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">clean_json_output</a>(output: str) -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">clear_history</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">console</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">context_manager</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">context_manager</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">cost_summary</a>() -> dict</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">delete_history</a>(index: int) -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">delete_history_matching</a>(pattern: str) -> int</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">diff</a>(from_hash: Optional[str] = None)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">display_name</a>() -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">ephemeral</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">execute</a>(task, context = None)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">execute_tool</a>(function_name, arguments, tool_call_id = None)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">execute_tool_async</a>(function_name: str, arguments: Dict[str, Any]) -> Any</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">from_template</a>(uri: str, config: Optional[Dict[str, Any]] = None, offline: bool = False, **kwargs) -> 'Agent'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">generate_task</a>() -> 'Task'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">get_available_tools</a>() -> List[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">get_history_size</a>() -> int</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">get_learn_context</a>() -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">get_memory_context</a>(query: Optional[str] = None) -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">get_recommended_stage</a>(prompt: str) -> str</code>
|
||||
@@ -59,35 +68,37 @@ Methods:
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">get_skills_prompt</a>() -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">handoff_to</a>(target_agent: 'Agent', prompt: str, context: Optional[Dict[str, Any]] = None, config: Optional['HandoffConfig'] = None) -> 'HandoffResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">handoff_to_async</a>(target_agent: 'Agent', prompt: str, context: Optional[Dict[str, Any]] = None, config: Optional['HandoffConfig'] = None) -> 'HandoffResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">is_closed</a>() -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">list_mcp_servers</a>() -> List[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_instance</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_instance</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_model</a>() -> Optional[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">output_style</a>() -> Optional[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">output_style</a>(value: Optional[str]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">policy</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">policy</a>(value: Optional[Any]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">iter_stream</a>(prompt: str, **kwargs)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">launch</a>(path: str = '/', port: int = 8000, host: str = '0.0.0.0', debug: bool = False, protocol: str = 'http')</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">llm_model</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">output_style</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">output_style</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">pending_approval_count</a>() -> int</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">policy</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">policy</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">prune_history</a>(keep_last: int = 5) -> int</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">query</a>(question: str, **kwargs) -> 'RAGResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rag</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rag</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rag_query</a>(question: str, **kwargs) -> 'RAGResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">redo</a>() -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">refresh_tools</a>() -> List[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">remove_mcp_server</a>(name: str) -> bool</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">retrieval_config</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">retrieval_config</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">retrieve</a>(query: str, **kwargs) -> 'ContextPack'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rules_manager</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">rules_manager</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run</a>(prompt: str, **kwargs)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_autonomous</a>(prompt: str, max_iterations: Optional[int] = None, timeout_seconds: Optional[float] = None, completion_promise: Optional[str] = None, clear_context: bool = False)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_autonomous_async</a>(prompt: str, max_iterations: Optional[int] = None, timeout_seconds: Optional[float] = None, completion_promise: Optional[str] = None, clear_context: bool = False)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_until</a>(prompt: str, criteria: str, threshold: float = 8.0, max_iterations: int = 5, mode: str = 'optimize', on_iteration: Optional[Callable[[Any], None]] = None, verbose: bool = False) -> 'EvaluationLoopResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">run_until_async</a>(prompt: str, criteria: str, threshold: float = 8.0, max_iterations: int = 5, mode: str = 'optimize', on_iteration: Optional[Callable[[Any], None]] = None, verbose: bool = False) -> 'EvaluationLoopResult'</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">skill_manager</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">store_memory</a>(content: str, memory_type: str = 'short_term', action: str = 'add', **kwargs: Any) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">stream_emitter</a>() -> Optional[Any]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">stream_emitter</a>(value: Optional[Any]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">thinking_budget</a>() -> Optional[int]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">thinking_budget</a>(value: Optional[int]) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">total_cost</a>() -> float</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">session_id</a>() -> Optional[str]</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">skill_manager</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">start</a>(prompt: str = None, **kwargs)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">store_memory</a>(content: str, memory_type: str = 'short_term', **kwargs)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">stream_emitter</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">stream_emitter</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">submit_for_approval</a>(function_name: str, arguments: Dict[str, Any]) -> str</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">switch_model</a>(new_model: str) -> None</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">thinking_budget</a>()</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">thinking_budget</a>(value)</code>
|
||||
* <code title="class Agent">Agent.<a href="./src/praisonai-agents/praisonaiagents/agent/agent.py">undo</a>() -> bool</code>
|
||||
* <code title="class AutoAgents">AutoAgents.<a href="./src/praisonai-agents/praisonaiagents/agents/autoagents.py">astart</a>()</code>
|
||||
* <code title="class AutoAgents">AutoAgents.<a href="./src/praisonai-agents/praisonaiagents/agents/autoagents.py">start</a>()</code>
|
||||
@@ -179,10 +190,7 @@ Methods:
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">safe_run</a>(**kwargs) -> ToolResult</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate</a>() -> bool</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate_class</a>() -> bool</code>
|
||||
* <code title="class BaseTool">BaseTool.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate_schema_roundtrip</a>() -> bool</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">__call__</a>(*args, **kwargs) -> Any</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">check_availability</a>() -> tuple[bool, str]</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">get_schema</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">injected_params</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class FunctionTool">FunctionTool.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">run</a>(**kwargs) -> Any</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">clear</a>() -> None</code>
|
||||
@@ -190,18 +198,14 @@ Methods:
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">discover_single_file_plugins</a>() -> int</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">get</a>(name: str) -> Optional[Union[BaseTool, Callable]]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">get_all</a>() -> Dict[str, Union[BaseTool, Callable]]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">get_tool_definitions</a>() -> List[Dict[str, Any]]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">get_trust_level</a>(name: str) -> Optional[str]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_available_tools</a>(context: Optional[Dict[str, Any]] = None, ttl_seconds: Optional[float] = None) -> List[Union[BaseTool, Callable]]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_base_tools</a>() -> List[BaseTool]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_tools</a>() -> List[str]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">list_tools_with_allowed_filter</a>(context: Optional[Dict[str, Any]] = None) -> List[str]</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">register</a>(tool: Union[BaseTool, Callable], name: Optional[str] = None, overwrite: bool = False, trust_level: Optional[str] = None, dynamic_schema_overrides: Optional[Callable[[Dict[str, Any]], Dict[str, Any]]] = None) -> None</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">register</a>(tool: Union[BaseTool, Callable], name: Optional[str] = None, overwrite: bool = False) -> None</code>
|
||||
* <code title="class ToolRegistry">ToolRegistry.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">unregister</a>(name: str) -> bool</code>
|
||||
* <code title="class Tools">Tools.<a href="./src/praisonai-agents/praisonaiagents/tools/tools.py">internet_search</a>(*args, **kwargs)</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">get_registry</a>() -> ToolRegistry</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">get_tool</a>(name: str) -> Optional[Union[BaseTool, Callable]]</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">register_tool</a>(tool: Union[BaseTool, Callable], name: Optional[str] = None, trust_level: Optional[str] = None, dynamic_schema_overrides: Optional[Callable[[Dict[str, Any]], Dict[str, Any]]] = None) -> None</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/tools/registry.py">register_tool</a>(tool: Union[BaseTool, Callable], name: Optional[str] = None) -> None</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/tools/decorator.py">tool</a>(func: Optional[Callable] = None) -> Union[FunctionTool, Callable[[Callable], FunctionTool]]</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/tools/base.py">validate_tool</a>(tool: Any) -> bool</code>
|
||||
|
||||
@@ -221,12 +225,10 @@ Methods:
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">execute_callback_sync</a>(task_output: TaskOutput) -> None</code>
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">get_next_task</a>(context: Dict[str, Any]) -> Optional[str]</code>
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">initialize_memory</a>()</code>
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">initialize_memory_async</a>()</code>
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">set_status</a>(new_status: str) -> None</code>
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">store_in_memory</a>(content: str, agent_name: str = None, task_id: str = None)</code>
|
||||
* <code title="class Task">Task.<a href="./src/praisonai-agents/praisonaiagents/task/task.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">loop</a>(step: Any = None, steps: Optional[List[Any]] = None, over: Optional[str] = None, from_csv: Optional[str] = None, from_file: Optional[str] = None, var_name: str = 'item', parallel: bool = False, max_workers: Optional[int] = None, output_variable: Optional[str] = None) -> Loop</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">parallel</a>(steps: List, max_workers: Optional[int] = None, on_failure: str = 'partial_ok') -> Parallel</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">parallel</a>(steps: List) -> Parallel</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">repeat</a>(step: Any, until: Optional[Callable[[WorkflowContext], bool]] = None, max_iterations: int = 10) -> Repeat</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">route</a>(routes: Dict[str, List], default: Optional[List] = None) -> Route</code>
|
||||
|
||||
@@ -246,10 +248,8 @@ from praisonaiagents import Memory, MemoryBackend, MemoryConfig
|
||||
|
||||
Methods:
|
||||
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">build_cache_optimized_context</a>(task_descr: str, user_id: Optional[str] = None, additional: str = '', max_items: int = 3, include_cache_boundary: bool = True, include_in_output: Optional[bool] = None) -> Dict[str, str]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">build_context_for_task</a>(task_descr: str, user_id: Optional[str] = None, additional: str = '', max_items: int = 3, include_in_output: Optional[bool] = None) -> str</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">calculate_quality_metrics</a>(output: str, expected_output: str, llm: Optional[str] = None, custom_prompt: Optional[str] = None) -> Dict[str, float]</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">close_connections</a>()</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">compute_quality_score</a>(completeness: float, relevance: float, clarity: float, accuracy: float, weights: Dict[str, float] = None) -> float</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">delete_long_term</a>(memory_id: str) -> bool</code>
|
||||
* <code title="class Memory">Memory.<a href="./src/praisonai-agents/praisonaiagents/memory/memory.py">delete_memories</a>(memory_ids: List[str]) -> int</code>
|
||||
@@ -364,7 +364,7 @@ Methods:
|
||||
* <code title="class Handoff">Handoff.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">to_tool_function</a>(source_agent: 'Agent') -> Callable</code>
|
||||
* <code title="class Handoff">Handoff.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">tool_description</a>() -> str</code>
|
||||
* <code title="class Handoff">Handoff.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">tool_name</a>() -> str</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">handoff</a>(agent: 'Agent', tool_name_override: Optional[str] = None, tool_description_override: Optional[str] = None, on_handoff: Optional[Callable] = None, input_type: Optional[type] = None, input_filter: Optional[Callable[[HandoffInputData], HandoffInputData]] = None, config: Optional[HandoffConfig] = None, context_policy: Optional[str] = None, timeout_seconds: Optional[float] = None, max_concurrent: Optional[int] = None, detect_cycles: Optional[bool] = None, max_depth: Optional[int] = None, tool_policy_mode: Optional[Literal['intersect', 'passthrough']] = None, blocked_tools: Optional[List[str]] = None) -> Handoff</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">handoff</a>(agent: 'Agent', tool_name_override: Optional[str] = None, tool_description_override: Optional[str] = None, on_handoff: Optional[Callable] = None, input_type: Optional[type] = None, input_filter: Optional[Callable[[HandoffInputData], HandoffInputData]] = None, config: Optional[HandoffConfig] = None, context_policy: Optional[str] = None, timeout_seconds: Optional[float] = None, max_concurrent: Optional[int] = None, detect_cycles: Optional[bool] = None, max_depth: Optional[int] = None) -> Handoff</code>
|
||||
* <code title="class handoff_filters">handoff_filters.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">compress_history</a>(data: HandoffInputData) -> HandoffInputData</code>
|
||||
* <code title="class handoff_filters">handoff_filters.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">keep_last_n_messages</a>(n: int) -> Callable[[HandoffInputData], HandoffInputData]</code>
|
||||
* <code title="class handoff_filters">handoff_filters.<a href="./src/praisonai-agents/praisonaiagents/agent/handoff.py">remove_all_tools</a>(data: HandoffInputData) -> HandoffInputData</code>
|
||||
@@ -382,9 +382,6 @@ Methods:
|
||||
|
||||
* <code title="class GuardrailConfig">GuardrailConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class LLMGuardrail">LLMGuardrail.<a href="./src/praisonai-agents/praisonaiagents/guardrails/llm_guardrail.py">__call__</a>(task_output) -> Tuple[bool, Union[str, 'TaskOutput']]</code>
|
||||
* <code title="class LLMGuardrail">LLMGuardrail.<a href="./src/praisonai-agents/praisonaiagents/guardrails/llm_guardrail.py">validate_input</a>(content: str, **kwargs) -> Tuple[bool, str]</code>
|
||||
* <code title="class LLMGuardrail">LLMGuardrail.<a href="./src/praisonai-agents/praisonaiagents/guardrails/llm_guardrail.py">validate_output</a>(content: str, **kwargs) -> Tuple[bool, str]</code>
|
||||
* <code title="class LLMGuardrail">LLMGuardrail.<a href="./src/praisonai-agents/praisonaiagents/guardrails/llm_guardrail.py">validate_tool_call</a>(tool_name: str, arguments: Dict[str, Any], **kwargs) -> Tuple[bool, Dict[str, Any]]</code>
|
||||
|
||||
# Planning
|
||||
|
||||
@@ -483,42 +480,16 @@ Methods:
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">activate</a>(skill: LoadedSkill) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">activate_by_name</a>(name: str) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">add_skill</a>(skill_path: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">approve</a>(identifier: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">archive_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">clear</a>() -> None</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create</a>(name: str, content: str, category: Optional[str] = None, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">create_skill</a>(name: str, content: str, category: str = None, agent_created: bool = True, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete</a>(name: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">delete_skill</a>(name: str, hard: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">discover</a>(skill_dirs: Optional[List[str]] = None, include_defaults: bool = True) -> int</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit</a>(name: str, content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">edit_skill</a>(name: str, content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_allowed_tools</a>(name: str) -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_available_skills</a>() -> List[SkillMetadata]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_available_skills_by_state</a>(state: SkillState) -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_instructions</a>(name: str) -> Optional[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_skill</a>(name: str) -> Optional[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_skills_diagnostics</a>() -> Dict[str, ValidationResult]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">get_user_invocable_skills</a>() -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">invoke</a>(name: str, raw_args: str = '', session_id: Optional[str] = None, shell_exec: bool = False) -> Optional[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">list_archived_skills</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">list_pending</a>() -> List[dict]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">load_resources</a>(name: str) -> bool</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch</a>(name: str, old_string: str, new_string: str, file_path: Optional[str] = None, replace_all: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">patch_skill</a>(name: str, old_string: str, new_string: str, file_path: str = None, replace_all: bool = False, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">reject</a>(identifier: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_file</a>(name: str, file_path: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">remove_skill_file</a>(name: str, file_path: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">restore_skill</a>(name: str, skill_dir: Optional[str] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">rollback_skill</a>(name: str) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">skill_names</a>() -> List[str]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">skills</a>() -> List[LoadedSkill]</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">to_prompt</a>() -> str</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">validate_skill_capabilities</a>(skill_name: str, force_refresh: bool = False) -> ValidationResult</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_file</a>(name: str, file_path: str, file_content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillManager">SkillManager.<a href="./src/praisonai-agents/praisonaiagents/skills/manager.py">write_skill_file</a>(name: str, file_path: str, file_content: str, propose: Optional[bool] = None) -> dict</code>
|
||||
* <code title="class SkillMetadata">SkillMetadata.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">from_properties</a>(props: SkillProperties) -> 'SkillMetadata'</code>
|
||||
* <code title="class SkillProperties">SkillProperties.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">idle_days</a>() -> Optional[float]</code>
|
||||
* <code title="class SkillProperties">SkillProperties.<a href="./src/praisonai-agents/praisonaiagents/skills/models.py">to_dict</a>() -> dict</code>
|
||||
* <code title="class SkillsConfig">SkillsConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
|
||||
@@ -536,12 +507,10 @@ Methods:
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">add_memory</a>(text: str, memory_type: str = 'long', **metadata) -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">chat</a>(message: str, **kwargs) -> str</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">clear_memory</a>(memory_type: str = 'all') -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">close</a>() -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">create_agent</a>(*args, **kwargs) -> 'Agent'</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">get_context</a>(query: str, max_items: int = 3) -> str</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">get_state</a>(key: str, default: Any = None) -> Any</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">increment_state</a>(key: str, increment: int = 1, default: int = 0) -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">is_expired</a>() -> bool</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">knowledge</a>() -> 'Knowledge'</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">memory</a>() -> 'Memory'</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">restore_state</a>() -> Dict[str, Any]</code>
|
||||
@@ -550,7 +519,6 @@ Methods:
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">search_memory</a>(query: str, memory_type: str = 'long', limit: int = 5) -> List[Dict[str, Any]]</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">send_message</a>(message: str, **kwargs) -> str</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">set_state</a>(key: str, value: Any) -> None</code>
|
||||
* <code title="class Session">Session.<a href="./src/praisonai-agents/praisonaiagents/session/api.py">time_to_expiry</a>() -> Optional[float]</code>
|
||||
|
||||
# MCP
|
||||
|
||||
@@ -602,7 +570,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import FlowDisplay, track_workflow
|
||||
from praisonaiagents import FlowDisplay, obs, track_workflow
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -633,14 +601,7 @@ Methods:
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">register_snapshot_callback</a>(callback: Callable[[SnapshotHookData], None]) -> None</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">reset</a>() -> None</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">set_tool_budget</a>(tool_name: str, max_tokens: int, protected: bool = False) -> None</code>
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">truncate_tool_output</a>(tool_name: str, output: str, tool_call_id: str = None, run_id: str = None) -> str</code>
|
||||
|
||||
# UI
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import A2UI
|
||||
```
|
||||
* <code title="class ContextManager">ContextManager.<a href="./src/praisonai-agents/praisonaiagents/context/manager.py">truncate_tool_output</a>(tool_name: str, output: str) -> str</code>
|
||||
|
||||
# Config
|
||||
|
||||
@@ -654,7 +615,6 @@ Methods:
|
||||
* <code title="class AutonomyConfig">AutonomyConfig.<a href="./src/praisonai-agents/praisonaiagents/agent/autonomy.py">effective_track_changes</a>() -> bool</code>
|
||||
* <code title="class AutonomyConfig">AutonomyConfig.<a href="./src/praisonai-agents/praisonaiagents/agent/autonomy.py">from_dict</a>(data: Dict[str, Any]) -> 'AutonomyConfig'</code>
|
||||
* <code title="class CachingConfig">CachingConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class ExecutionConfig">ExecutionConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">from_dict</a>(data: Dict[str, Any]) -> 'ExecutionConfig'</code>
|
||||
* <code title="class ExecutionConfig">ExecutionConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class GuardrailConfig">GuardrailConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class HooksConfig">HooksConfig.<a href="./src/praisonai-agents/praisonaiagents/config/feature_configs.py">to_dict</a>() -> Dict[str, Any]</code>
|
||||
@@ -722,7 +682,7 @@ Methods:
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonaiagents import AgentAppConfig, AgentAppProtocol, AgentFlow, AgentManager, AgentOSConfig, AgentOSProtocol, AgentTeam, AutoApproveBackend, EmbeddingResult, RetryBackoffConfig, __version__, aembedding, aembeddings, embedding, embeddings, get_dimensions
|
||||
from praisonaiagents import AgentAppConfig, AgentAppProtocol, AgentFlow, AgentManager, AgentOSConfig, AgentOSProtocol, AgentTeam, AutoApproveBackend, EmbeddingResult, aembedding, aembeddings, embedding, embeddings, get_dimensions
|
||||
```
|
||||
|
||||
Methods:
|
||||
@@ -747,19 +707,14 @@ Methods:
|
||||
* <code title="class AgentFlow">AgentFlow.<a href="./src/praisonai-agents/praisonaiagents/workflows/workflows.py">verbose</a>(value: bool)</code>
|
||||
* <code title="class AgentOSProtocol">AgentOSProtocol.<a href="./src/praisonai-agents/praisonaiagents/app/protocols.py">get_app</a>() -> Any</code>
|
||||
* <code title="class AgentOSProtocol">AgentOSProtocol.<a href="./src/praisonai-agents/praisonaiagents/app/protocols.py">serve</a>(host: Optional[str] = None, port: Optional[int] = None, reload: bool = False, **kwargs: Any) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">aannounce_completion</a>(agent_id: str, task_id: str, result: Any, success: bool = True, error: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">add_task</a>(task)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">aexecute_task</a>(task_id)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">announce_completion</a>(agent_id: str, task_id: str, result: Any, success: bool = True, error: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">append_to_state</a>(key: str, value: Any, max_length: Optional[int] = None) -> List[Any]</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">arun_all_tasks</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">arun_task</a>(task_id)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">aspawn_sub_agent</a>(agent: Agent, task: Any, completion_callback: Optional[Callable[[SubAgentCompletionEvent], Any]] = None, metadata: Optional[Dict[str, Any]] = None) -> SpawnedSubAgent</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">astart</a>(content = None, return_dict = False, **kwargs)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">await_for_completions</a>(timeout: Optional[float] = None, agent_ids: Optional[List[str]] = None) -> List[SubAgentCompletionEvent]</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">clean_json_output</a>(output: str) -> str</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">clear_state</a>() -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">close</a>() -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">context_manager</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">current_plan</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">default_completion_checker</a>(task, agent_output)</code>
|
||||
@@ -771,7 +726,6 @@ Methods:
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_all_tasks_status</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_detailed_token_report</a>() -> Dict[str, Any]</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_plan_markdown</a>() -> str</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_spawned_agents</a>() -> List[SpawnedSubAgent]</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_state</a>(key: str, default: Any = None) -> Any</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_task_details</a>(task_id)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">get_task_result</a>(task_id)</code>
|
||||
@@ -788,23 +742,23 @@ Methods:
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">save_output_to_file</a>(task, task_output)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">save_session_state</a>(session_id: str, include_memory: bool = True) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">set_state</a>(key: str, value: Any) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">spawn_sub_agent</a>(agent: Agent, task: Any, completion_callback: Optional[Callable[[SubAgentCompletionEvent], Any]] = None, metadata: Optional[Dict[str, Any]] = None) -> SpawnedSubAgent</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">start</a>(content = None, return_dict = False, output = None, **kwargs)</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">todo_list</a>()</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">update_plan_step_status</a>(step_id: str, status: str) -> bool</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">update_state</a>(updates: Dict) -> None</code>
|
||||
* <code title="class AgentTeam">AgentTeam.<a href="./src/praisonai-agents/praisonaiagents/agents/agents.py">wait_for_completions</a>(timeout: Optional[float] = None, agent_ids: Optional[List[str]] = None) -> List[SubAgentCompletionEvent]</code>
|
||||
* <code title="class AutoApproveBackend">AutoApproveBackend.<a href="./src/praisonai-agents/praisonaiagents/approval/backends.py">request_approval</a>(request: ApprovalRequest) -> ApprovalDecision</code>
|
||||
* <code title="class AutoApproveBackend">AutoApproveBackend.<a href="./src/praisonai-agents/praisonaiagents/approval/backends.py">request_approval_sync</a>(request: ApprovalRequest) -> ApprovalDecision</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/embed.py">aembedding</a>(input: Union[str, List[str]], model: str = 'text-embedding-3-small', dimensions: Optional[int] = None, encoding_format: str = 'float', timeout: float = 600.0, api_key: Optional[str] = None, api_base: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs) -> EmbeddingResult</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/embed.py">aembeddings</a>(input: Union[str, List[str]], model: str = 'text-embedding-3-small', dimensions: Optional[int] = None, encoding_format: str = 'float', timeout: float = 600.0, api_key: Optional[str] = None, api_base: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs) -> EmbeddingResult</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/embed.py">embedding</a>(input: Union[str, List[str]], model: str = 'text-embedding-3-small', dimensions: Optional[int] = None, encoding_format: str = 'float', timeout: float = 600.0, api_key: Optional[str] = None, api_base: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs) -> EmbeddingResult</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/embed.py">embeddings</a>(input: Union[str, List[str]], model: str = 'text-embedding-3-small', dimensions: Optional[int] = None, encoding_format: str = 'float', timeout: float = 600.0, api_key: Optional[str] = None, api_base: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, **kwargs) -> EmbeddingResult</code>
|
||||
* <code title="function">praisonaiagents.<a href="./src/praisonai-agents/praisonaiagents/embedding/dimensions.py">get_dimensions</a>(model_name: str) -> int</code>
|
||||
|
||||
# Wrapper (praisonai)
|
||||
|
||||
Types:
|
||||
```python
|
||||
from praisonai import Agent, AgentApp, AgentOS, AnthropicManagedAgent, CloudProvider, DB, Deploy, DeployConfig, DeployType, HostedAgent, HostedAgentConfig, LocalAgent, LocalAgentConfig, LocalManagedAgent, LocalManagedConfig, ManagedAgent, ManagedConfig, PraisonAI, __version__, arun, run, run_integrated_gateway
|
||||
from praisonai import AgentApp, AgentOS, CloudProvider, Deploy, DeployConfig, DeployType, PraisonAI, __version__
|
||||
```
|
||||
|
||||
# CLI
|
||||
@@ -813,18 +767,11 @@ Methods:
|
||||
|
||||
* <code title="cli">praisonai <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai acp acp-main <a href="./src/praisonai/praisonai/cli/commands/acp.py">--help</a></code>
|
||||
* <code title="cli">praisonai agent list <a href="./src/praisonai/praisonai/cli/commands/agent.py">--help</a></code>
|
||||
* <code title="cli">praisonai agent show <a href="./src/praisonai/praisonai/cli/commands/agent.py">--help</a></code>
|
||||
* <code title="cli">praisonai agents create <a href="./src/praisonai/praisonai/cli/commands/agents.py">--help</a></code>
|
||||
* <code title="cli">praisonai agents info <a href="./src/praisonai/praisonai/cli/commands/agents.py">--help</a></code>
|
||||
* <code title="cli">praisonai agents list <a href="./src/praisonai/praisonai/cli/commands/agents.py">--help</a></code>
|
||||
* <code title="cli">praisonai app app <a href="./src/praisonai/praisonai/cli/commands/app.py">--help</a></code>
|
||||
* <code title="cli">praisonai attach attach-main <a href="./src/praisonai/praisonai/cli/commands/attach.py">--help</a></code>
|
||||
* <code title="cli">praisonai audit agent-centric <a href="./src/praisonai/praisonai/cli/commands/audit.py">--help</a></code>
|
||||
* <code title="cli">praisonai auth list <a href="./src/praisonai/praisonai/cli/commands/auth.py">--help</a></code>
|
||||
* <code title="cli">praisonai auth login <a href="./src/praisonai/praisonai/cli/commands/auth.py">--help</a></code>
|
||||
* <code title="cli">praisonai auth logout <a href="./src/praisonai/praisonai/cli/commands/auth.py">--help</a></code>
|
||||
* <code title="cli">praisonai auth status <a href="./src/praisonai/praisonai/cli/commands/auth.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch batch-run <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch list <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
* <code title="cli">praisonai batch report <a href="./src/praisonai/praisonai/cli/commands/batch.py">--help</a></code>
|
||||
@@ -841,11 +788,6 @@ Methods:
|
||||
* <code title="cli">praisonai bot bot-callback <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot discord <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot email <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot install-daemon <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot linear <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot list <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot purge <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot replay <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot slack <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot start <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
* <code title="cli">praisonai bot telegram <a href="./src/praisonai/praisonai/cli/commands/bot.py">--help</a></code>
|
||||
@@ -862,31 +804,19 @@ Methods:
|
||||
* <code title="cli">praisonai call call-main <a href="./src/praisonai/praisonai/cli/commands/call.py">--help</a></code>
|
||||
* <code title="cli">praisonai chat <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai chat chat-main <a href="./src/praisonai/praisonai/cli/commands/chat.py">--help</a></code>
|
||||
* <code title="cli">praisonai checkpoint delete <a href="./src/praisonai/praisonai/cli/commands/checkpoint.py">--help</a></code>
|
||||
* <code title="cli">praisonai checkpoint diff <a href="./src/praisonai/praisonai/cli/commands/checkpoint.py">--help</a></code>
|
||||
* <code title="cli">praisonai checkpoint list <a href="./src/praisonai/praisonai/cli/commands/checkpoint.py">--help</a></code>
|
||||
* <code title="cli">praisonai checkpoint restore <a href="./src/praisonai/praisonai/cli/commands/checkpoint.py">--help</a></code>
|
||||
* <code title="cli">praisonai checkpoint save <a href="./src/praisonai/praisonai/cli/commands/checkpoint.py">--help</a></code>
|
||||
* <code title="cli">praisonai claw claw <a href="./src/praisonai/praisonai/cli/commands/claw.py">--help</a></code>
|
||||
* <code title="cli">praisonai code <a href="./src/praisonai/praisonai/cli/main.py">--help</a></code>
|
||||
* <code title="cli">praisonai code code-main <a href="./src/praisonai/praisonai/cli/commands/code.py">--help</a></code>
|
||||
* <code title="cli">praisonai command list <a href="./src/praisonai/praisonai/cli/commands/command.py">--help</a></code>
|
||||
* <code title="cli">praisonai command show <a href="./src/praisonai/praisonai/cli/commands/command.py">--help</a></code>
|
||||
* <code title="cli">praisonai commit commit-main <a href="./src/praisonai/praisonai/cli/commands/commit.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion bash <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion completion-callback <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion fish <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai completion zsh <a href="./src/praisonai/praisonai/cli/commands/completion.py">--help</a></code>
|
||||
* <code title="cli">praisonai config doctor <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config env <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config get <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config list <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config path <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config reset <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config set <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config show <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config sources <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai config validate <a href="./src/praisonai/praisonai/cli/commands/config.py">--help</a></code>
|
||||
* <code title="cli">praisonai context add <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context clear <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context compact <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
@@ -896,11 +826,6 @@ Methods:
|
||||
* <code title="cli">praisonai context show <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context stats <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai context tail <a href="./src/praisonai/praisonai/cli/commands/context.py">--help</a></code>
|
||||
* <code title="cli">praisonai daemon daemon-main <a href="./src/praisonai/praisonai/cli/commands/daemon.py">--help</a></code>
|
||||
* <code title="cli">praisonai daemon start <a href="./src/praisonai/praisonai/cli/commands/daemon.py">--help</a></code>
|
||||
* <code title="cli">praisonai daemon status <a href="./src/praisonai/praisonai/cli/commands/daemon.py">--help</a></code>
|
||||
* <code title="cli">praisonai daemon stop <a href="./src/praisonai/praisonai/cli/commands/daemon.py">--help</a></code>
|
||||
* <code title="cli">praisonai dashboard unified <a href="./src/praisonai/praisonai/cli/commands/dashboard.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug acp <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug debug-callback <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
* <code title="cli">praisonai debug interactive <a href="./src/praisonai/praisonai/cli/commands/debug.py">--help</a></code>
|
||||
@@ -921,18 +846,15 @@ Methods:
|
||||
* <code title="cli">praisonai docs serve <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai docs stats <a href="./src/praisonai/praisonai/cli/commands/docs.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor cleanup <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor docker <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor config <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor db <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor doctor-callback <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor env <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor llm-providers <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor mcp <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor memory-store <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor metadata-store <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor network <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor packaging <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor performance <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor runtime <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor selftest <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor skills <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor tools <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai doctor troubleshoot <a href="./src/praisonai/praisonai/cli/commands/doctor.py">--help</a></code>
|
||||
* <code title="cli">praisonai endpoints list <a href="./src/praisonai/praisonai/cli/commands/endpoints.py">--help</a></code>
|
||||
* <code title="cli">praisonai endpoints test <a href="./src/praisonai/praisonai/cli/commands/endpoints.py">--help</a></code>
|
||||
@@ -943,69 +865,24 @@ Methods:
|
||||
* <code title="cli">praisonai eval judge <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai eval list-judges <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai eval performance <a href="./src/praisonai/praisonai/cli/commands/eval.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples find <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples info <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples list <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples report <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples run <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples run-all <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai examples stats <a href="./src/praisonai/praisonai/cli/commands/examples.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow export <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow flow-start <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow import <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow list <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai flow version <a href="./src/praisonai/praisonai/cli/commands/flow.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway channels <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway gateway-callback <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway install <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway logs <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway mint-link <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway pause <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway reconnect <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway resume <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway send <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway start <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway status <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway stop <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai gateway uninstall <a href="./src/praisonai/praisonai/cli/commands/gateway.py">--help</a></code>
|
||||
* <code title="cli">praisonai github triage <a href="./src/praisonai/praisonai/cli/commands/github.py">--help</a></code>
|
||||
* <code title="cli">praisonai hooks add <a href="./src/praisonai/praisonai/cli/commands/hooks.py">--help</a></code>
|
||||
* <code title="cli">praisonai hooks list <a href="./src/praisonai/praisonai/cli/commands/hooks.py">--help</a></code>
|
||||
* <code title="cli">praisonai hooks remove <a href="./src/praisonai/praisonai/cli/commands/hooks.py">--help</a></code>
|
||||
* <code title="cli">praisonai identity import <a href="./src/praisonai/praisonai/cli/commands/identity.py">--help</a></code>
|
||||
* <code title="cli">praisonai identity link <a href="./src/praisonai/praisonai/cli/commands/identity.py">--help</a></code>
|
||||
* <code title="cli">praisonai identity list <a href="./src/praisonai/praisonai/cli/commands/identity.py">--help</a></code>
|
||||
* <code title="cli">praisonai identity unlink <a href="./src/praisonai/praisonai/cli/commands/identity.py">--help</a></code>
|
||||
* <code title="cli">praisonai init init <a href="./src/praisonai/praisonai/cli/commands/init.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban block <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban boards <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban comment <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban complete <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban create <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban dispatch <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban link <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban list <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban move <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban reclaim <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban show <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai kanban unblock <a href="./src/praisonai/praisonai/cli/commands/kanban.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge add <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge index <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge list <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
* <code title="cli">praisonai knowledge search <a href="./src/praisonai/praisonai/cli/commands/knowledge.py">--help</a></code>
|
||||
* <code title="cli">praisonai langextract render <a href="./src/praisonai/praisonai/cli/commands/langextract.py">--help</a></code>
|
||||
* <code title="cli">praisonai langextract view <a href="./src/praisonai/praisonai/cli/commands/langextract.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse config <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse connect <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse init <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse langfuse-start <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse sessions <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse show <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse status <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse stop <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse test <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse traces <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai langfuse version <a href="./src/praisonai/praisonai/cli/commands/langfuse.py">--help</a></code>
|
||||
* <code title="cli">praisonai loop help <a href="./src/praisonai/praisonai/cli/commands/loop.py">--help</a></code>
|
||||
* <code title="cli">praisonai loop loop-main <a href="./src/praisonai/praisonai/cli/commands/loop.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp logs <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
@@ -1013,17 +890,6 @@ Methods:
|
||||
* <code title="cli">praisonai lsp start <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp status <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai lsp stop <a href="./src/praisonai/praisonai/cli/commands/lsp.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed delete <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed get <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed list <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed managed-callback <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed multi <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed restore <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed resume <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed run <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed save <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed show <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai managed update <a href="./src/praisonai/praisonai/cli/commands/managed.py">--help</a></code>
|
||||
* <code title="cli">praisonai mcp add <a href="./src/praisonai/praisonai/cli/commands/mcp.py">--help</a></code>
|
||||
* <code title="cli">praisonai mcp auth <a href="./src/praisonai/praisonai/cli/commands/mcp.py">--help</a></code>
|
||||
* <code title="cli">praisonai mcp describe <a href="./src/praisonai/praisonai/cli/commands/mcp.py">--help</a></code>
|
||||
@@ -1041,34 +907,11 @@ Methods:
|
||||
* <code title="cli">praisonai memory search <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory show <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai memory status <a href="./src/praisonai/praisonai/cli/commands/memory.py">--help</a></code>
|
||||
* <code title="cli">praisonai models describe <a href="./src/praisonai/praisonai/cli/commands/models.py">--help</a></code>
|
||||
* <code title="cli">praisonai models list <a href="./src/praisonai/praisonai/cli/commands/models.py">--help</a></code>
|
||||
* <code title="cli">praisonai models validate <a href="./src/praisonai/praisonai/cli/commands/models.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n export <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n import <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n list <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n preview <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n pull <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n push <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai n8n test <a href="./src/praisonai/praisonai/cli/commands/n8n.py">--help</a></code>
|
||||
* <code title="cli">praisonai obs obs-fallback <a href="./src/praisonai/praisonai/cli/commands/obs.py">--help</a></code>
|
||||
* <code title="cli">praisonai onboard onboard-callback <a href="./src/praisonai/praisonai/cli/commands/onboard.py">--help</a></code>
|
||||
* <code title="cli">praisonai package install <a href="./src/praisonai/praisonai/cli/commands/package.py">--help</a></code>
|
||||
* <code title="cli">praisonai package list <a href="./src/praisonai/praisonai/cli/commands/package.py">--help</a></code>
|
||||
* <code title="cli">praisonai package uninstall <a href="./src/praisonai/praisonai/cli/commands/package.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing approve <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing clear <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing list <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai pairing revoke <a href="./src/praisonai/praisonai/cli/commands/pairing.py">--help</a></code>
|
||||
* <code title="cli">praisonai paths show <a href="./src/praisonai/praisonai/cli/commands/paths.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions allow <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions ask <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions deny <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions export <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions import-rules <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions list <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions remove <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai permissions reset <a href="./src/praisonai/praisonai/cli/commands/permissions.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins create <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins disable <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins discover <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
@@ -1079,10 +922,6 @@ Methods:
|
||||
* <code title="cli">praisonai plugins list <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins plugins-callback <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai plugins remove <a href="./src/praisonai/praisonai/cli/commands/plugins.py">--help</a></code>
|
||||
* <code title="cli">praisonai port check <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai port kill <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai port list <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai port port-callback <a href="./src/praisonai/praisonai/cli/commands/port.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile imports <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile optimize <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
* <code title="cli">praisonai profile profile-callback <a href="./src/praisonai/praisonai/cli/commands/profile.py">--help</a></code>
|
||||
@@ -1131,8 +970,6 @@ Methods:
|
||||
* <code title="cli">praisonai sandbox sandbox-callback <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai sandbox status <a href="./src/praisonai/praisonai/cli/commands/sandbox.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule add <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule blueprint <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule blueprint-list <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule delete <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule describe <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule list <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
@@ -1142,10 +979,6 @@ Methods:
|
||||
* <code title="cli">praisonai schedule start <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule stats <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule stop <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-accept <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-dismiss <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestion-propose <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai schedule suggestions <a href="./src/praisonai/praisonai/cli/commands/schedule.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve a2a <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve a2u <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve acp <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
@@ -1154,7 +987,6 @@ Methods:
|
||||
* <code title="cli">praisonai serve gateway <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve lsp <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve mcp <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve openai <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve rag <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve recipe <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve registry <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
@@ -1164,7 +996,6 @@ Methods:
|
||||
* <code title="cli">praisonai serve status <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve stop <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve ui <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve ui-gateway <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai serve unified <a href="./src/praisonai/praisonai/cli/commands/serve.py">--help</a></code>
|
||||
* <code title="cli">praisonai session delete <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session export <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
@@ -1172,16 +1003,11 @@ Methods:
|
||||
* <code title="cli">praisonai session list <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session resume <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai session show <a href="./src/praisonai/praisonai/cli/commands/session.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup config <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup reset <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup setup-callback <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai setup wizard <a href="./src/praisonai/praisonai/cli/commands/setup.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills check <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills create <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills eligible <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills info <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills install <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills learn <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills list <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills search <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
* <code title="cli">praisonai skills validate <a href="./src/praisonai/praisonai/cli/commands/skills.py">--help</a></code>
|
||||
@@ -1216,16 +1042,12 @@ Methods:
|
||||
* <code title="cli">praisonai train llm <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train show <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai train train-callback <a href="./src/praisonai/praisonai/cli/commands/train.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui agents <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui bot <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui chat <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui code <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui gradio <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui realtime <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui ui <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai up logs <a href="./src/praisonai/praisonai/cli/commands/up.py">--help</a></code>
|
||||
* <code title="cli">praisonai up status <a href="./src/praisonai/praisonai/cli/commands/up.py">--help</a></code>
|
||||
* <code title="cli">praisonai up up-start <a href="./src/praisonai/praisonai/cli/commands/up.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate check <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate schema <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai validate validate <a href="./src/praisonai/praisonai/cli/commands/validate.py">--help</a></code>
|
||||
* <code title="cli">praisonai ui ui-main <a href="./src/praisonai/praisonai/cli/commands/ui.py">--help</a></code>
|
||||
* <code title="cli">praisonai version check <a href="./src/praisonai/praisonai/cli/commands/version.py">--help</a></code>
|
||||
* <code title="cli">praisonai version show <a href="./src/praisonai/praisonai/cli/commands/version.py">--help</a></code>
|
||||
* <code title="cli">praisonai version version-callback <a href="./src/praisonai/praisonai/cli/commands/version.py">--help</a></code>
|
||||
@@ -1377,8 +1199,8 @@ export { // Python parity additions
|
||||
MinimalTelemetry, AgentTelemetry, PerformanceMonitor, TelemetryCollector, TelemetryIntegration, cleanupTelemetry, cleanupTelemetryResources, createAgentTelemetry, createConsoleSink, createHTTPSink, createPerformanceMonitor, createTelemetryIntegration, disablePerformanceMode, disableTelemetry, enablePerformanceMode, enableTelemetry, getMinimalTelemetry, getTelemetry } from "./telemetry";
|
||||
export { // Subagent Tool (agent-as-tool pattern)
|
||||
SubagentTool, BaseTool, FunctionTool, ToolRegistry, ToolResult, ToolValidationError, createDelegator, createSubagentTool, createSubagentTools, createTool, getRegistry, getTool, registerTool, tool, validateTool } from "./tools";
|
||||
export { airweaveSearch, bedrockBrowserClick, bedrockBrowserFill, bedrockBrowserNavigate, bedrockCodeInterpreter, codeExecution, codeMode, createCustomTool, crwCrawl, crwScrape, exaSearch, firecrawlCrawl, firecrawlScrape, parallelSearch, perplexitySearch, registerCustomTool, registerLocalTool, registerNpmTool, superagentGuard, superagentRedact, superagentVerify, tavilyCrawl, tavilyExtract, tavilySearch, valyuBioSearch, valyuCompanyResearch, valyuEconomicsSearch, valyuFinanceSearch, valyuPaperSearch, valyuPatentSearch, valyuSecSearch, valyuWebSearch } from "./tools/builtins";
|
||||
export { BudgetExceededError, MissingDependencyError, MissingEnvVarError, ToolsRegistry, composeMiddleware, createLoggingMiddleware, createRateLimitMiddleware, createRedactionMiddleware, createRetryMiddleware, createTimeoutMiddleware, createToolsRegistry, createTracingMiddleware, createValidationMiddleware, getToolsRegistry, get_registry, get_tool, register_tool, resetToolsRegistry, validate_tool } from "./tools/registry";
|
||||
export { airweaveSearch, bedrockBrowserClick, bedrockBrowserFill, bedrockBrowserNavigate, bedrockCodeInterpreter, codeExecution, codeMode, createCustomTool, exaSearch, firecrawlCrawl, firecrawlScrape, parallelSearch, perplexitySearch, registerCustomTool, registerLocalTool, registerNpmTool, superagentGuard, superagentRedact, superagentVerify, tavilyCrawl, tavilyExtract, tavilySearch, valyuBioSearch, valyuCompanyResearch, valyuEconomicsSearch, valyuFinanceSearch, valyuPaperSearch, valyuPatentSearch, valyuSecSearch, valyuWebSearch } from "./tools/builtins";
|
||||
export { MissingDependencyError, MissingEnvVarError, ToolsRegistry, composeMiddleware, createLoggingMiddleware, createRateLimitMiddleware, createRedactionMiddleware, createRetryMiddleware, createTimeoutMiddleware, createToolsRegistry, createTracingMiddleware, createValidationMiddleware, getToolsRegistry, resetToolsRegistry } from "./tools/registry";
|
||||
export type { InstallHints, PraisonTool, RedactionHooks, RegisteredTool, ToolCapabilities, ToolExecutionContext, ToolExecutionResult, ToolFactory, ToolHooks, ToolInstallStatus, ToolLimits, ToolLogger, ToolMetadata, ToolMiddleware, ToolParameterProperty, ToolParameterSchema } from "./tools/registry";
|
||||
export { registerBuiltinTools, tools } from "./tools/tools";
|
||||
export { // Classes
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.80" \
|
||||
"praisonai>=4.5.80" \
|
||||
"praisonai[chat]" \
|
||||
"embedchain[github,youtube]"
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.80" \
|
||||
"praisonai>=4.5.80" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[chat]" \
|
||||
"praisonai[realtime]" \
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=4.6.80" \
|
||||
"praisonai>=4.5.80" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[crewai]"
|
||||
|
||||
|
||||
@@ -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.
|
||||
@@ -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.
|
||||
@@ -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.
|
||||
@@ -37,7 +37,7 @@ def example_simple_enable():
|
||||
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
|
||||
web=True, # Enable web search + fetch
|
||||
)
|
||||
print(f"Agent created with memory={agent._memory_instance is not None}")
|
||||
print(f" self_reflect={agent.self_reflect}")
|
||||
@@ -152,7 +152,7 @@ def example_string_presets():
|
||||
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
|
||||
web="tavily", # String preset for web provider
|
||||
)
|
||||
print(f"Output preset 'verbose': verbose={agent.verbose}, metrics={agent.metrics}")
|
||||
print(f"Execution preset 'fast': max_iter={agent.max_iter}")
|
||||
|
||||
@@ -12,13 +12,8 @@ from praisonaiagents import Agent
|
||||
from praisonaiagents.approval import AgentApproval
|
||||
from praisonaiagents.tools.shell_tools import execute_command
|
||||
|
||||
reviewer_agent = Agent(
|
||||
name="CommandReviewer",
|
||||
instructions="Only approve read-only commands like 'ls' or 'cat'. Deny destructive commands.",
|
||||
)
|
||||
|
||||
reviewer = AgentApproval(
|
||||
approver_agent=reviewer_agent,
|
||||
instructions="Only approve read-only commands like 'ls' or 'cat'. Deny destructive commands.",
|
||||
)
|
||||
|
||||
agent = Agent(
|
||||
|
||||
@@ -5,14 +5,14 @@ both files to verify everything looks good.
|
||||
"""
|
||||
from praisonaiagents import Agent
|
||||
from praisonaiagents.tools import (
|
||||
write_file, read_file, execute_command, list_files
|
||||
write_file, read_file, execute_command, list_directory
|
||||
)
|
||||
|
||||
agent = Agent(
|
||||
instructions="You are a helpful coding assistant.",
|
||||
output="editor",
|
||||
tools=[write_file, read_file, execute_command, list_files],
|
||||
approval=False,
|
||||
tools=[write_file, read_file, execute_command, list_directory],
|
||||
approval=True,
|
||||
)
|
||||
agent.start(
|
||||
"Create a Python file at /tmp/fibonacci.py that generates the first 20 "
|
||||
|
||||
@@ -5,22 +5,22 @@ 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
|
||||
write_file, read_file, execute_command, list_directory, get_system_info
|
||||
)
|
||||
|
||||
try:
|
||||
from praisonaiagents.tools import web_search
|
||||
tools = [web_search, write_file, read_file, execute_command,
|
||||
list_files, get_system_info]
|
||||
list_directory, get_system_info]
|
||||
except ImportError:
|
||||
tools = [write_file, read_file, execute_command,
|
||||
list_files, get_system_info]
|
||||
list_directory, get_system_info]
|
||||
|
||||
agent = Agent(
|
||||
instructions="You are a helpful research assistant.",
|
||||
output="editor",
|
||||
tools=tools,
|
||||
approval=False,
|
||||
approval=True,
|
||||
)
|
||||
agent.start(
|
||||
"Research the top 3 Python web frameworks (Django, FastAPI, Flask), then: "
|
||||
|
||||
@@ -5,20 +5,20 @@ it, and lists created files.
|
||||
"""
|
||||
from praisonaiagents import Agent
|
||||
from praisonaiagents.tools import (
|
||||
write_file, execute_command, list_files
|
||||
write_file, execute_command, list_directory
|
||||
)
|
||||
|
||||
try:
|
||||
from praisonaiagents.tools import web_search
|
||||
tools = [web_search, write_file, execute_command, list_files]
|
||||
tools = [web_search, write_file, execute_command, list_directory]
|
||||
except ImportError:
|
||||
tools = [write_file, execute_command, list_files]
|
||||
tools = [write_file, execute_command, list_directory]
|
||||
|
||||
agent = Agent(
|
||||
instructions="You are a helpful research assistant.",
|
||||
output="editor",
|
||||
tools=tools,
|
||||
approval=False,
|
||||
approval=True,
|
||||
)
|
||||
agent.start(
|
||||
"Search the web for the current weather in Tokyo, create a JSON file at "
|
||||
|
||||
@@ -35,7 +35,7 @@ def run_quick_comparison():
|
||||
prompt="What is 2+2?",
|
||||
iterations=2,
|
||||
paths=["openai_sdk", "praisonai_agent"],
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Print comparison table
|
||||
@@ -56,7 +56,7 @@ def run_full_benchmark():
|
||||
report = handler.run_full_benchmark(
|
||||
prompt="Hi",
|
||||
iterations=3,
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Print full report
|
||||
@@ -78,7 +78,7 @@ def run_agent_benchmark():
|
||||
prompt="Explain Python in one sentence",
|
||||
iterations=3,
|
||||
paths=["openai_sdk", "praisonai_agent"],
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Show timeline diagrams
|
||||
|
||||
@@ -22,7 +22,7 @@ custom_modes = {
|
||||
}
|
||||
|
||||
# Create handler with verbose output
|
||||
handler = CompareHandler(verbose=True)
|
||||
handler = CompareHandler(output="verbose")
|
||||
|
||||
# Example: Manually create comparison results for analysis
|
||||
# (useful for testing without API calls)
|
||||
|
||||
@@ -22,7 +22,7 @@ modes = parse_modes("basic,tools,planning")
|
||||
print(f"\nParsed modes: {modes}")
|
||||
|
||||
# Create compare handler
|
||||
handler = CompareHandler(verbose=True)
|
||||
handler = CompareHandler(output="verbose")
|
||||
|
||||
# Compare modes (this will run actual agent calls)
|
||||
# Uncomment to run:
|
||||
|
||||
@@ -15,7 +15,7 @@ agent = Agent(
|
||||
# With array [preset, overrides]
|
||||
agent_override = Agent(
|
||||
instructions="You are a helpful assistant.",
|
||||
memory=MemoryConfig(backend="redis", user_id="custom_user"),
|
||||
memory=["redis", {"user_id": "custom_user"}],
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
from praisonaiagents import Agent
|
||||
from praisonaiagents import AgentFlow, Task
|
||||
from praisonaiagents.workflows.workflow_configs import (
|
||||
WorkflowPlanningConfig, WorkflowMemoryConfig,
|
||||
WorkflowOutputConfig, WorkflowPlanningConfig, WorkflowMemoryConfig,
|
||||
)
|
||||
|
||||
# Full-featured workflow with all consolidated params
|
||||
@@ -32,7 +32,7 @@ workflow = AgentFlow(
|
||||
),
|
||||
],
|
||||
# Workflow-level consolidated params
|
||||
output="verbose",
|
||||
output=WorkflowOutputConfig(output="verbose", stream=True),
|
||||
planning=WorkflowPlanningConfig(enabled=True, reasoning=True),
|
||||
memory=WorkflowMemoryConfig(backend="file"),
|
||||
# Agent-like params
|
||||
|
||||
@@ -5,12 +5,12 @@ Demonstrates web search with consolidated params.
|
||||
Presets: duckduckgo, tavily, google, bing, serper, search_only, fetch_only
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, WebConfig
|
||||
from praisonaiagents import Agent
|
||||
|
||||
# Basic: Enable web search with preset (search only — fetch needs Claude)
|
||||
# Basic: Enable web search with preset
|
||||
agent = Agent(
|
||||
instructions="You are a research assistant with web access.",
|
||||
web="search_only", # Compatible across models without web_fetch
|
||||
web="duckduckgo", # Presets: duckduckgo, tavily, google, bing, serper
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -15,20 +15,8 @@ workflow = AgentFlow(
|
||||
],
|
||||
output="verbose",
|
||||
planning=True,
|
||||
variables={"topic": "AI agents"},
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
import os
|
||||
import sys
|
||||
|
||||
if not os.environ.get("OPENAI_API_KEY"):
|
||||
print("Set OPENAI_API_KEY to run this example.")
|
||||
sys.exit(0)
|
||||
if sys.platform == "win32":
|
||||
try:
|
||||
sys.stdout.reconfigure(encoding="utf-8")
|
||||
except Exception:
|
||||
pass
|
||||
result = workflow.run("AI agents")
|
||||
result = workflow.run(variables={"topic": "AI agents"})
|
||||
print(result)
|
||||
@@ -1,216 +0,0 @@
|
||||
# Industry Templates for PraisonAI
|
||||
|
||||
This directory contains industry-specific agent templates based on the SRAO Framework, providing pre-built workflows for rapid deployment of agent workforces across different industries.
|
||||
|
||||
## Overview
|
||||
|
||||
These templates demonstrate how PraisonAI can be used to create specialized agent teams for various industries, with **70% code reuse** across different sectors through shared patterns and abstractions.
|
||||
|
||||
## Available Templates
|
||||
|
||||
### 1. Manufacturing (`manufacturing_template.py`)
|
||||
**Key Agents:**
|
||||
- **ParseOrder**: Extracts and structures order information from various formats
|
||||
- **CheckInventory**: Validates material availability and supply chain status
|
||||
- **OptimizeSchedule**: Optimizes production scheduling based on constraints
|
||||
- **DefectDetect**: Quality control and defect detection
|
||||
|
||||
**Features:**
|
||||
- Order processing with multiple input formats
|
||||
- Real-time inventory management
|
||||
- Production optimization algorithms
|
||||
- Quality inspection with defect detection
|
||||
- Fallback strategies for each critical step
|
||||
|
||||
### 2. Energy (`energy_template.py`)
|
||||
**Key Agents:**
|
||||
- **SCADAReader**: Processes SCADA telemetry data from wind turbines
|
||||
- **VibrationAnalyzer**: Analyzes vibration patterns for predictive maintenance
|
||||
- **PowerForecaster**: Predicts power generation based on weather and history
|
||||
- **MaintenanceScheduler**: Schedules predictive maintenance
|
||||
|
||||
**Features:**
|
||||
- Real-time wind farm monitoring
|
||||
- Vibration-based fault detection
|
||||
- Power generation forecasting
|
||||
- Grid integration and load balancing
|
||||
- Predictive maintenance scheduling
|
||||
|
||||
### 3. Healthcare (`healthcare_template.py`)
|
||||
**Key Agents:**
|
||||
- **VitalSignsCapture**: Processes patient vital signs from monitoring devices
|
||||
- **EMRRetrieval**: Retrieves electronic medical records with HIPAA compliance
|
||||
- **TriageRecommendation**: Provides ESI-based triage recommendations
|
||||
- **ResourceAllocator**: Manages hospital resource allocation
|
||||
|
||||
**Features:**
|
||||
- Emergency triage workflow
|
||||
- HIPAA-compliant data handling
|
||||
- Patient safety protocols
|
||||
- Resource optimization
|
||||
- Cross-department coordination
|
||||
|
||||
### 4. Agriculture (`agriculture_template.py`)
|
||||
**Key Agents:**
|
||||
- **MultispectralAnalyzer**: Analyzes multispectral imagery for crop health
|
||||
- **DiseaseIdentifier**: Identifies crop diseases and pests using AI
|
||||
- **SprayRecommender**: Recommends targeted spraying strategies
|
||||
- **YieldPredictor**: Predicts crop yield based on conditions
|
||||
|
||||
**Features:**
|
||||
- Precision agriculture with drone/satellite imagery
|
||||
- Pest and disease early warning system
|
||||
- Optimized chemical application
|
||||
- Yield forecasting
|
||||
- Sustainable farming patterns
|
||||
|
||||
### 5. Transportation (`transportation_template.py`)
|
||||
**Key Agents:**
|
||||
- **LiDARFusion**: Processes LiDAR point cloud data for infrastructure
|
||||
- **DisplacementCalculator**: Calculates structural displacement
|
||||
- **HeatmapGenerator**: Generates safety visualization heatmaps
|
||||
- **MaintenancePlanner**: Plans infrastructure maintenance
|
||||
|
||||
**Features:**
|
||||
- Tunnel/bridge safety monitoring
|
||||
- LiDAR-based structural analysis
|
||||
- Real-time safety assessment
|
||||
- Traffic flow optimization
|
||||
- Predictive maintenance scheduling
|
||||
|
||||
## Key Features Across All Templates
|
||||
|
||||
### 1. I/O Schemas
|
||||
Each template includes Pydantic models for structured data handling:
|
||||
- Input validation
|
||||
- Type safety
|
||||
- Clear data contracts between agents
|
||||
|
||||
### 2. SLA Requirements
|
||||
Every agent has defined Service Level Agreements:
|
||||
- Processing time requirements
|
||||
- Response time guarantees
|
||||
- Performance benchmarks
|
||||
|
||||
### 3. Fallback Strategies
|
||||
Robust error handling with fallback mechanisms:
|
||||
- Graceful degradation
|
||||
- Manual intervention queues
|
||||
- Conservative estimates when systems fail
|
||||
|
||||
### 4. Cross-Industry Patterns (70% Reuse)
|
||||
Reusable base patterns that work across industries:
|
||||
- Data parsing agents
|
||||
- Resource availability checkers
|
||||
- Optimization engines
|
||||
- Inspection/quality control agents
|
||||
|
||||
## Usage Example
|
||||
|
||||
```python
|
||||
from manufacturing_template import (
|
||||
order_parser,
|
||||
inventory_checker,
|
||||
schedule_optimizer,
|
||||
quality_inspector,
|
||||
manufacturing_workflow
|
||||
)
|
||||
|
||||
# Process a manufacturing order
|
||||
order_text = "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
|
||||
result = manufacturing_workflow(order_text)
|
||||
print(result)
|
||||
```
|
||||
|
||||
## Adapting Templates for Your Industry
|
||||
|
||||
### Using Base Patterns
|
||||
Each template includes reusable pattern classes that can be adapted:
|
||||
|
||||
```python
|
||||
from manufacturing_template import IndustryAgentPattern
|
||||
|
||||
# Create a custom data parser for any domain
|
||||
custom_parser = IndustryAgentPattern.create_data_parser(
|
||||
name="CustomParser",
|
||||
domain="retail",
|
||||
sla_seconds=20
|
||||
)
|
||||
|
||||
# Create a resource checker for any resource type
|
||||
resource_checker = IndustryAgentPattern.create_resource_checker(
|
||||
name="StaffAvailability",
|
||||
resource_type="customer_service_staff",
|
||||
sla_seconds=3
|
||||
)
|
||||
```
|
||||
|
||||
### Creating Custom Workflows
|
||||
Combine agents from different templates or create new ones:
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, tool
|
||||
|
||||
# Define custom tools
|
||||
@tool
|
||||
def custom_analysis(data: str) -> Dict:
|
||||
"""Your custom analysis logic"""
|
||||
return {"result": "analyzed"}
|
||||
|
||||
# Create custom agent
|
||||
custom_agent = Agent(
|
||||
name="CustomAnalyzer",
|
||||
instructions="Your specific instructions",
|
||||
tools=[custom_analysis]
|
||||
)
|
||||
```
|
||||
|
||||
## Integration with PraisonAI Core
|
||||
|
||||
These templates are built on top of PraisonAI's core Agent framework:
|
||||
|
||||
```python
|
||||
from praisonaiagents import Agent, tool, AgentTeam, Task
|
||||
|
||||
# Combine multiple industry agents into a team
|
||||
team = AgentTeam(
|
||||
agents=[order_parser, inventory_checker, schedule_optimizer],
|
||||
tasks=[
|
||||
Task(name="parse", agent=order_parser),
|
||||
Task(name="check", agent=inventory_checker),
|
||||
Task(name="optimize", agent=schedule_optimizer)
|
||||
]
|
||||
)
|
||||
```
|
||||
|
||||
## Best Practices
|
||||
|
||||
1. **Start with Templates**: Use these as starting points and customize for your specific needs
|
||||
2. **Maintain SLAs**: Define clear performance requirements for each agent
|
||||
3. **Implement Fallbacks**: Always have fallback strategies for critical operations
|
||||
4. **Use Type Safety**: Leverage Pydantic models for data validation
|
||||
5. **Monitor Performance**: Track agent performance against SLAs
|
||||
6. **Iterate and Improve**: Continuously refine based on real-world usage
|
||||
|
||||
## Contributing
|
||||
|
||||
To add a new industry template:
|
||||
|
||||
1. Follow the existing template structure
|
||||
2. Include all key components:
|
||||
- I/O Schemas (Pydantic models)
|
||||
- Agent definitions with SLAs
|
||||
- Tools for agent capabilities
|
||||
- Complete workflow function
|
||||
- Fallback strategies
|
||||
- Cross-industry patterns
|
||||
3. Add comprehensive documentation
|
||||
4. Include usage examples
|
||||
|
||||
## License
|
||||
|
||||
These templates are part of the PraisonAI project and follow the same licensing terms.
|
||||
|
||||
## References
|
||||
|
||||
Based on the [SRAO Framework](https://github.com/beixuan577/SRAO-Framework) (MIT License)
|
||||
@@ -1,38 +0,0 @@
|
||||
"""
|
||||
Industry Templates for PraisonAI
|
||||
================================
|
||||
|
||||
Pre-built agent templates for rapid deployment across different industries.
|
||||
Based on SRAO Framework with 70% cross-industry code reuse.
|
||||
|
||||
Available templates:
|
||||
- Manufacturing: Order processing, inventory, scheduling, quality control
|
||||
- Energy: Wind farm monitoring, predictive maintenance, power forecasting
|
||||
- Healthcare: Emergency triage, EMR retrieval, resource allocation
|
||||
- Agriculture: Precision farming, pest detection, yield prediction
|
||||
- Transportation: Infrastructure monitoring, safety assessment, maintenance
|
||||
|
||||
Example usage:
|
||||
from Industry_Templates.manufacturing_template import manufacturing_workflow
|
||||
|
||||
result = manufacturing_workflow("Customer order text")
|
||||
"""
|
||||
|
||||
__version__ = "1.0.0"
|
||||
__author__ = "PraisonAI Team"
|
||||
|
||||
# Import the modules so they're accessible via the package
|
||||
from . import manufacturing_template
|
||||
from . import energy_template
|
||||
from . import healthcare_template
|
||||
from . import agriculture_template
|
||||
from . import transportation_template
|
||||
|
||||
# Export commonly used items for convenience
|
||||
__all__ = [
|
||||
"manufacturing_template",
|
||||
"energy_template",
|
||||
"healthcare_template",
|
||||
"agriculture_template",
|
||||
"transportation_template"
|
||||
]
|
||||
@@ -1,551 +0,0 @@
|
||||
"""
|
||||
Agriculture Industry Template
|
||||
=============================
|
||||
Precision agriculture and pest management workflow
|
||||
Based on SRAO Framework with IoT sensor integration
|
||||
|
||||
Key agents:
|
||||
- MultispectralAnalyzer: Analyzes multispectral imagery
|
||||
- DiseaseIdentifier: Identifies crop diseases and pests
|
||||
- SprayRecommender: Recommends targeted spraying strategies
|
||||
- YieldPredictor: Predicts crop yield based on conditions
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Tuple, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime, timedelta
|
||||
from enum import Enum
|
||||
|
||||
|
||||
# Crop health levels
|
||||
class CropHealthLevel(str, Enum):
|
||||
EXCELLENT = "excellent"
|
||||
GOOD = "good"
|
||||
FAIR = "fair"
|
||||
POOR = "poor"
|
||||
CRITICAL = "critical"
|
||||
|
||||
|
||||
# Pest/Disease severity
|
||||
class SeverityLevel(str, Enum):
|
||||
NONE = "none"
|
||||
LOW = "low"
|
||||
MODERATE = "moderate"
|
||||
HIGH = "high"
|
||||
SEVERE = "severe"
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class MultispectralData(BaseModel):
|
||||
"""Multispectral imagery analysis data"""
|
||||
field_id: str
|
||||
capture_time: str
|
||||
ndvi_index: float # Normalized Difference Vegetation Index
|
||||
ndre_index: float # Normalized Difference Red Edge
|
||||
ccci_index: float # Canopy Chlorophyll Content Index
|
||||
moisture_level: float # Soil moisture percentage
|
||||
temperature: float # Celsius
|
||||
affected_area: float # Hectares
|
||||
gps_coordinates: Tuple[float, float]
|
||||
|
||||
|
||||
class PestDiseaseReport(BaseModel):
|
||||
"""Pest and disease identification report"""
|
||||
report_id: str
|
||||
field_id: str
|
||||
detection_time: str
|
||||
pest_type: Optional[str]
|
||||
disease_type: Optional[str]
|
||||
severity: SeverityLevel
|
||||
affected_crops: List[str]
|
||||
spread_rate: float # % per day
|
||||
environmental_factors: Dict[str, Any]
|
||||
confidence_score: float
|
||||
|
||||
|
||||
class SprayRecommendation(BaseModel):
|
||||
"""Targeted spraying recommendation"""
|
||||
recommendation_id: str
|
||||
field_id: str
|
||||
treatment_type: str # pesticide, fungicide, herbicide, fertilizer
|
||||
product_name: str
|
||||
application_rate: float # L/hectare
|
||||
target_zones: List[Dict[str, Any]] # GPS zones
|
||||
optimal_time: str
|
||||
weather_window: Dict[str, Any]
|
||||
cost_estimate: float
|
||||
environmental_impact: str # low, medium, high
|
||||
|
||||
|
||||
class YieldForecast(BaseModel):
|
||||
"""Crop yield prediction"""
|
||||
forecast_id: str
|
||||
field_id: str
|
||||
crop_type: str
|
||||
predicted_yield: float # tons/hectare
|
||||
confidence_interval: Tuple[float, float]
|
||||
harvest_window: Tuple[str, str]
|
||||
quality_grade: str # A, B, C
|
||||
market_price_estimate: float
|
||||
risk_factors: List[str]
|
||||
|
||||
|
||||
# Agriculture-specific tools
|
||||
@tool
|
||||
def analyze_multispectral_imagery(field_id: str, image_data: Dict) -> Dict:
|
||||
"""Analyze multispectral drone/satellite imagery for crop health"""
|
||||
# Simulate multispectral analysis
|
||||
ndvi = 0.75 # Healthy vegetation typically 0.6-0.9
|
||||
|
||||
# Determine health based on NDVI
|
||||
if ndvi > 0.8:
|
||||
health = CropHealthLevel.EXCELLENT
|
||||
affected_area = 0.0
|
||||
elif ndvi > 0.6:
|
||||
health = CropHealthLevel.GOOD
|
||||
affected_area = 2.5
|
||||
elif ndvi > 0.4:
|
||||
health = CropHealthLevel.FAIR
|
||||
affected_area = 5.0
|
||||
else:
|
||||
health = CropHealthLevel.POOR
|
||||
affected_area = 10.0
|
||||
|
||||
return {
|
||||
"field_id": field_id,
|
||||
"capture_time": datetime.now().isoformat(),
|
||||
"ndvi_index": ndvi,
|
||||
"ndre_index": 0.68,
|
||||
"ccci_index": 0.72,
|
||||
"moisture_level": 35.0,
|
||||
"temperature": 24.5,
|
||||
"affected_area": affected_area,
|
||||
"gps_coordinates": (40.7128, -74.0060),
|
||||
"health_level": health.value
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def identify_pest_disease(spectral_data: Dict, historical_data: List) -> Dict:
|
||||
"""Identify pests and diseases using AI image recognition"""
|
||||
# Simulate pest/disease detection
|
||||
ndvi = spectral_data.get("ndvi_index", 0.75)
|
||||
affected_area = spectral_data.get("affected_area", 0)
|
||||
|
||||
if affected_area > 8.0:
|
||||
pest_type = "aphids"
|
||||
disease_type = "powdery_mildew"
|
||||
severity = SeverityLevel.HIGH
|
||||
spread_rate = 2.5
|
||||
elif affected_area > 4.0:
|
||||
pest_type = "whiteflies"
|
||||
disease_type = "leaf_spot"
|
||||
severity = SeverityLevel.MODERATE
|
||||
spread_rate = 1.5
|
||||
elif affected_area > 0:
|
||||
pest_type = None
|
||||
disease_type = "early_blight"
|
||||
severity = SeverityLevel.LOW
|
||||
spread_rate = 0.5
|
||||
else:
|
||||
pest_type = None
|
||||
disease_type = None
|
||||
severity = SeverityLevel.NONE
|
||||
spread_rate = 0.0
|
||||
|
||||
return {
|
||||
"report_id": f"PDR-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"field_id": spectral_data["field_id"],
|
||||
"detection_time": datetime.now().isoformat(),
|
||||
"pest_type": pest_type,
|
||||
"disease_type": disease_type,
|
||||
"severity": severity.value,
|
||||
"affected_crops": ["wheat", "corn"],
|
||||
"spread_rate": spread_rate,
|
||||
"environmental_factors": {
|
||||
"humidity": 65,
|
||||
"temperature": spectral_data.get("temperature", 25),
|
||||
"rainfall_last_week": 15 # mm
|
||||
},
|
||||
"confidence_score": 0.85
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_spray_recommendation(pest_report: Dict, field_data: Dict, weather: Dict) -> Dict:
|
||||
"""Calculate optimal spraying strategy for pest/disease control"""
|
||||
severity = pest_report.get("severity", "none")
|
||||
|
||||
if severity == "high" or severity == "severe":
|
||||
treatment = "pesticide"
|
||||
product = "Imidacloprid"
|
||||
rate = 0.5
|
||||
impact = "medium"
|
||||
elif severity == "moderate":
|
||||
treatment = "fungicide"
|
||||
product = "Azoxystrobin"
|
||||
rate = 0.3
|
||||
impact = "low"
|
||||
elif severity == "low":
|
||||
treatment = "organic_treatment"
|
||||
product = "Neem Oil"
|
||||
rate = 0.2
|
||||
impact = "minimal"
|
||||
else:
|
||||
treatment = "fertilizer"
|
||||
product = "NPK 20-20-20"
|
||||
rate = 0.4
|
||||
impact = "positive"
|
||||
|
||||
# Calculate target zones based on affected area
|
||||
affected_area = field_data.get("affected_area", 0)
|
||||
if affected_area > 0:
|
||||
target_zones = [
|
||||
{
|
||||
"zone_id": "A1",
|
||||
"gps_boundary": [(40.71, -74.00), (40.72, -74.01)],
|
||||
"priority": "high"
|
||||
}
|
||||
]
|
||||
else:
|
||||
target_zones = []
|
||||
|
||||
return {
|
||||
"recommendation_id": f"SPR-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"field_id": field_data["field_id"],
|
||||
"treatment_type": treatment,
|
||||
"product_name": product,
|
||||
"application_rate": rate,
|
||||
"affected_area": affected_area,
|
||||
"target_zones": target_zones,
|
||||
"optimal_time": (datetime.now() + timedelta(days=1)).isoformat(),
|
||||
"weather_window": {
|
||||
"wind_speed": weather.get("wind_speed", 5),
|
||||
"precipitation": weather.get("precipitation", 0),
|
||||
"suitable": True
|
||||
},
|
||||
"cost_estimate": rate * affected_area * 50, # $/hectare
|
||||
"environmental_impact": impact
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def predict_crop_yield(field_id: str, crop_type: str, current_health: Dict, weather_forecast: Dict) -> Dict:
|
||||
"""Predict crop yield based on current conditions and forecasts"""
|
||||
# Simulate yield prediction
|
||||
health_level = current_health.get("health_level", "good")
|
||||
|
||||
base_yield = {
|
||||
"wheat": 3.5,
|
||||
"corn": 9.5,
|
||||
"soybeans": 2.8,
|
||||
"rice": 6.0
|
||||
}.get(crop_type, 5.0)
|
||||
|
||||
# Adjust based on health
|
||||
health_multiplier = {
|
||||
"excellent": 1.2,
|
||||
"good": 1.0,
|
||||
"fair": 0.8,
|
||||
"poor": 0.6,
|
||||
"critical": 0.4
|
||||
}.get(health_level, 1.0)
|
||||
|
||||
predicted_yield = base_yield * health_multiplier
|
||||
|
||||
# Quality grade based on conditions
|
||||
if health_level in ["excellent", "good"]:
|
||||
quality = "A"
|
||||
price_multiplier = 1.2
|
||||
elif health_level == "fair":
|
||||
quality = "B"
|
||||
price_multiplier = 1.0
|
||||
else:
|
||||
quality = "C"
|
||||
price_multiplier = 0.8
|
||||
|
||||
return {
|
||||
"forecast_id": f"YLD-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"field_id": field_id,
|
||||
"crop_type": crop_type,
|
||||
"predicted_yield": predicted_yield,
|
||||
"confidence_interval": (predicted_yield * 0.9, predicted_yield * 1.1),
|
||||
"harvest_window": (
|
||||
(datetime.now() + timedelta(days=60)).isoformat(),
|
||||
(datetime.now() + timedelta(days=75)).isoformat()
|
||||
),
|
||||
"quality_grade": quality,
|
||||
"market_price_estimate": predicted_yield * 250 * price_multiplier, # $/ton
|
||||
"risk_factors": ["weather_variability", "pest_pressure", "market_volatility"]
|
||||
}
|
||||
|
||||
|
||||
# Agriculture agent definitions
|
||||
multispectral_agent = Agent(
|
||||
name="MultispectralAnalyzer",
|
||||
instructions="""You are a remote sensing specialist for precision agriculture.
|
||||
Analyze multispectral imagery from drones and satellites.
|
||||
Calculate vegetation indices (NDVI, NDRE, CCCI) to assess crop health.
|
||||
Identify stress zones and anomalies in field conditions.
|
||||
SLA: Process imagery within 2 minutes per field.""",
|
||||
tools=[analyze_multispectral_imagery]
|
||||
)
|
||||
|
||||
disease_agent = Agent(
|
||||
name="DiseaseIdentifier",
|
||||
instructions="""You are a plant pathology expert with AI vision capabilities.
|
||||
Identify crop diseases, pests, and nutrient deficiencies.
|
||||
Assess severity levels and predict spread patterns.
|
||||
Consider environmental factors affecting disease development.
|
||||
SLA: Complete identification within 30 seconds.""",
|
||||
tools=[identify_pest_disease]
|
||||
)
|
||||
|
||||
spray_agent = Agent(
|
||||
name="SprayRecommender",
|
||||
instructions="""You are a precision application specialist.
|
||||
Recommend targeted spraying strategies for pest and disease control.
|
||||
Optimize chemical usage to minimize environmental impact.
|
||||
Consider weather windows and application regulations.
|
||||
SLA: Generate recommendations within 1 minute.""",
|
||||
tools=[calculate_spray_recommendation]
|
||||
)
|
||||
|
||||
yield_agent = Agent(
|
||||
name="YieldPredictor",
|
||||
instructions="""You are a crop yield forecasting specialist.
|
||||
Predict harvest yields based on current conditions and historical data.
|
||||
Assess crop quality grades and market value estimates.
|
||||
Identify risk factors that could impact final yield.
|
||||
SLA: Generate forecast within 45 seconds.""",
|
||||
tools=[predict_crop_yield]
|
||||
)
|
||||
|
||||
|
||||
# Precision agriculture workflow
|
||||
def precision_agriculture_workflow(field_ids: List[str], crop_type: str, weather_data: Dict):
|
||||
"""
|
||||
Complete precision agriculture workflow from monitoring to treatment
|
||||
Includes early warning system and sustainable farming practices
|
||||
"""
|
||||
|
||||
workflow_results = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"fields_monitored": len(field_ids),
|
||||
"alerts": [],
|
||||
"treatments_needed": [],
|
||||
"yield_forecasts": [],
|
||||
"sustainability_score": 0.0
|
||||
}
|
||||
|
||||
for field_id in field_ids:
|
||||
try:
|
||||
# Step 1: Multispectral analysis
|
||||
spectral_analysis = multispectral_agent.start(
|
||||
f"Analyze multispectral imagery for field {field_id}"
|
||||
)
|
||||
|
||||
# Step 2: Disease and pest detection
|
||||
pest_report = disease_agent.start(
|
||||
f"Identify pests/diseases from spectral data: {spectral_analysis}"
|
||||
)
|
||||
|
||||
# Check for alerts
|
||||
if pest_report.get("severity") in ["high", "severe"]:
|
||||
workflow_results["alerts"].append({
|
||||
"field_id": field_id,
|
||||
"type": "pest_disease_alert",
|
||||
"severity": pest_report["severity"],
|
||||
"pest": pest_report.get("pest_type"),
|
||||
"disease": pest_report.get("disease_type"),
|
||||
"action": "immediate_treatment_required"
|
||||
})
|
||||
|
||||
# Step 3: Generate spray recommendation
|
||||
spray_recommendation = spray_agent.start(
|
||||
f"Calculate spray strategy for pest report: {pest_report}, "
|
||||
f"field: {spectral_analysis}, weather: {weather_data}"
|
||||
)
|
||||
workflow_results["treatments_needed"].append(spray_recommendation)
|
||||
|
||||
# Step 4: Yield prediction
|
||||
yield_forecast = yield_agent.start(
|
||||
f"Predict yield for field {field_id}, crop {crop_type}, "
|
||||
f"health: {spectral_analysis}, weather: {weather_data}"
|
||||
)
|
||||
workflow_results["yield_forecasts"].append(yield_forecast)
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Schedule manual inspection
|
||||
workflow_results["alerts"].append({
|
||||
"field_id": field_id,
|
||||
"type": "monitoring_failure",
|
||||
"error": str(e),
|
||||
"action": "schedule_manual_inspection"
|
||||
})
|
||||
|
||||
# Calculate sustainability score
|
||||
total_chemical = sum(
|
||||
t.get("application_rate", 0) * t.get("affected_area", 0)
|
||||
for t in workflow_results["treatments_needed"]
|
||||
)
|
||||
workflow_results["sustainability_score"] = max(0, 100 - (total_chemical * 10))
|
||||
|
||||
return workflow_results
|
||||
|
||||
|
||||
# Sustainable farming patterns
|
||||
class SustainableFarmingPatterns:
|
||||
"""
|
||||
Patterns for sustainable and regenerative agriculture
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def integrated_pest_management(pest_level: str) -> Dict:
|
||||
"""IPM strategy based on pest pressure"""
|
||||
strategies = {
|
||||
"low": {
|
||||
"method": "biological_control",
|
||||
"actions": ["release_beneficial_insects", "plant_trap_crops"],
|
||||
"chemical_use": 0
|
||||
},
|
||||
"moderate": {
|
||||
"method": "targeted_intervention",
|
||||
"actions": ["spot_treatment", "pheromone_traps", "minimal_spray"],
|
||||
"chemical_use": 30
|
||||
},
|
||||
"high": {
|
||||
"method": "integrated_approach",
|
||||
"actions": ["systematic_spray", "crop_rotation", "resistant_varieties"],
|
||||
"chemical_use": 70
|
||||
}
|
||||
}
|
||||
return strategies.get(pest_level, strategies["moderate"])
|
||||
|
||||
@staticmethod
|
||||
def precision_irrigation(moisture_level: float, crop_stage: str) -> Dict:
|
||||
"""Calculate optimal irrigation based on soil moisture and crop stage"""
|
||||
# Water requirements by growth stage (mm/day)
|
||||
stage_requirements = {
|
||||
"germination": 3.0,
|
||||
"vegetative": 5.0,
|
||||
"flowering": 7.0,
|
||||
"grain_filling": 6.0,
|
||||
"maturation": 2.0
|
||||
}
|
||||
|
||||
required = stage_requirements.get(crop_stage, 5.0)
|
||||
deficit = max(0, 40 - moisture_level) # Target 40% moisture
|
||||
|
||||
return {
|
||||
"irrigation_needed": deficit > 10,
|
||||
"amount_mm": deficit * 2,
|
||||
"method": "drip" if deficit < 20 else "sprinkler",
|
||||
"schedule": "night_irrigation" if deficit > 15 else "morning_irrigation",
|
||||
"water_saved": (100 - deficit) / 100 * 1000 # Liters per hectare
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def crop_rotation_optimizer(current_crop: str, soil_data: Dict) -> str:
|
||||
"""Recommend next crop for rotation based on soil health"""
|
||||
rotations = {
|
||||
"wheat": ["soybeans", "canola"], # Nitrogen fixation
|
||||
"corn": ["soybeans", "alfalfa"], # Break disease cycle
|
||||
"soybeans": ["wheat", "corn"], # Utilize fixed nitrogen
|
||||
"rice": ["legumes", "vegetables"], # Soil structure improvement
|
||||
}
|
||||
|
||||
return rotations.get(current_crop, ["cover_crops"])[0]
|
||||
|
||||
|
||||
# IoT sensor integration patterns
|
||||
class IoTSensorPatterns:
|
||||
"""
|
||||
Patterns for integrating IoT sensors in smart farming
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def create_sensor_network_agent(sensor_types: List[str]) -> Agent:
|
||||
"""Create agent for managing IoT sensor networks"""
|
||||
return Agent(
|
||||
name="SensorNetworkManager",
|
||||
instructions=f"""Manage IoT sensor network with {', '.join(sensor_types)}.
|
||||
Collect real-time data from field sensors.
|
||||
Detect sensor anomalies and maintenance needs.
|
||||
Aggregate data for precision agriculture decisions.
|
||||
SLA: Data collection every 15 minutes."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def process_sensor_data(sensor_readings: List[Dict]) -> Dict:
|
||||
"""Process and aggregate IoT sensor data"""
|
||||
aggregated = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"sensor_count": len(sensor_readings),
|
||||
"averages": {},
|
||||
"alerts": []
|
||||
}
|
||||
|
||||
# Calculate averages
|
||||
for reading in sensor_readings:
|
||||
for key, value in reading.items():
|
||||
if isinstance(value, (int, float)):
|
||||
if key not in aggregated["averages"]:
|
||||
aggregated["averages"][key] = []
|
||||
aggregated["averages"][key].append(value)
|
||||
|
||||
# Convert to means
|
||||
for key in aggregated["averages"]:
|
||||
values = aggregated["averages"][key]
|
||||
aggregated["averages"][key] = sum(values) / len(values)
|
||||
|
||||
# Check for anomalies
|
||||
if key == "soil_ph" and (aggregated["averages"][key] < 6.0 or aggregated["averages"][key] > 7.5):
|
||||
aggregated["alerts"].append({
|
||||
"type": "soil_ph_anomaly",
|
||||
"value": aggregated["averages"][key],
|
||||
"action": "adjust_soil_treatment"
|
||||
})
|
||||
|
||||
return aggregated
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Monitor multiple fields
|
||||
fields = ["FIELD-001", "FIELD-002", "FIELD-003"]
|
||||
weather = {
|
||||
"temperature": 25,
|
||||
"humidity": 60,
|
||||
"wind_speed": 8,
|
||||
"precipitation": 0,
|
||||
"forecast": "partly_cloudy"
|
||||
}
|
||||
|
||||
result = precision_agriculture_workflow(fields, "wheat", weather)
|
||||
print("Agriculture workflow result:", result)
|
||||
|
||||
# Sustainable farming example
|
||||
ipm_strategy = SustainableFarmingPatterns.integrated_pest_management("moderate")
|
||||
print("IPM Strategy:", ipm_strategy)
|
||||
|
||||
irrigation_plan = SustainableFarmingPatterns.precision_irrigation(25.0, "flowering")
|
||||
print("Irrigation Plan:", irrigation_plan)
|
||||
|
||||
next_crop = SustainableFarmingPatterns.crop_rotation_optimizer("wheat", {})
|
||||
print("Recommended next crop:", next_crop)
|
||||
|
||||
# IoT integration example
|
||||
sensor_agent = IoTSensorPatterns.create_sensor_network_agent(
|
||||
["soil_moisture", "temperature", "humidity", "light", "ph"]
|
||||
)
|
||||
|
||||
sensor_data = [
|
||||
{"sensor_id": "S001", "soil_moisture": 35, "temperature": 24, "soil_ph": 6.8},
|
||||
{"sensor_id": "S002", "soil_moisture": 32, "temperature": 25, "soil_ph": 7.2},
|
||||
{"sensor_id": "S003", "soil_moisture": 38, "temperature": 23, "soil_ph": 5.8}
|
||||
]
|
||||
|
||||
processed_data = IoTSensorPatterns.process_sensor_data(sensor_data)
|
||||
print("Processed sensor data:", processed_data)
|
||||
@@ -1,372 +0,0 @@
|
||||
"""
|
||||
Energy Industry Template
|
||||
========================
|
||||
Wind farm monitoring and power optimization workflow
|
||||
Based on SRAO Framework patterns with predictive maintenance
|
||||
|
||||
Key agents:
|
||||
- SCADAReader: Processes SCADA telemetry data
|
||||
- VibrationAnalyzer: Analyzes turbine vibration patterns
|
||||
- PowerForecaster: Predicts power generation
|
||||
- MaintenanceScheduler: Schedules predictive maintenance
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime, timedelta
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class TurbineData(BaseModel):
|
||||
"""Wind turbine telemetry data"""
|
||||
turbine_id: str
|
||||
timestamp: str
|
||||
wind_speed: float # m/s
|
||||
power_output: float # MW
|
||||
rotor_speed: float # RPM
|
||||
blade_pitch: float # degrees
|
||||
nacelle_temperature: float # Celsius
|
||||
vibration_level: float # mm/s
|
||||
operational_status: str # running, stopped, maintenance
|
||||
|
||||
|
||||
class VibrationAnalysis(BaseModel):
|
||||
"""Vibration analysis results"""
|
||||
turbine_id: str
|
||||
analysis_time: str
|
||||
vibration_rms: float
|
||||
frequency_peaks: List[float]
|
||||
anomaly_detected: bool
|
||||
failure_probability: float
|
||||
recommended_action: str
|
||||
|
||||
|
||||
class PowerForecast(BaseModel):
|
||||
"""Power generation forecast"""
|
||||
forecast_id: str
|
||||
start_time: str
|
||||
end_time: str
|
||||
predicted_output: List[float] # MW per hour
|
||||
confidence_interval: float
|
||||
weather_factors: Dict[str, Any]
|
||||
grid_demand: float
|
||||
|
||||
|
||||
class MaintenancePlan(BaseModel):
|
||||
"""Maintenance scheduling plan"""
|
||||
plan_id: str
|
||||
turbine_id: str
|
||||
maintenance_type: str # preventive, predictive, corrective
|
||||
scheduled_date: str
|
||||
estimated_duration: int # hours
|
||||
required_parts: List[str]
|
||||
technician_team: str
|
||||
production_loss: float # MW
|
||||
|
||||
|
||||
# Tools for energy management
|
||||
@tool
|
||||
def read_scada_telemetry(turbine_id: str, time_range: str = "last_hour") -> Dict:
|
||||
"""Read SCADA system telemetry for wind turbines"""
|
||||
# Simulate SCADA data reading
|
||||
return {
|
||||
"turbine_id": turbine_id,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"wind_speed": 12.5,
|
||||
"power_output": 2.3,
|
||||
"rotor_speed": 16.8,
|
||||
"blade_pitch": 8.5,
|
||||
"nacelle_temperature": 45.2,
|
||||
"vibration_level": 3.2,
|
||||
"operational_status": "running"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def analyze_vibration_patterns(turbine_data: Dict) -> Dict:
|
||||
"""Analyze vibration patterns for early fault detection"""
|
||||
# Simulate vibration analysis
|
||||
vibration_level = turbine_data.get("vibration_level", 0)
|
||||
anomaly = vibration_level > 5.0 # Threshold for anomaly
|
||||
|
||||
return {
|
||||
"turbine_id": turbine_data["turbine_id"],
|
||||
"analysis_time": datetime.now().isoformat(),
|
||||
"vibration_rms": vibration_level,
|
||||
"frequency_peaks": [10.5, 25.3, 50.0], # Hz
|
||||
"anomaly_detected": anomaly,
|
||||
"failure_probability": min(vibration_level / 10.0, 1.0),
|
||||
"recommended_action": "immediate_inspection" if anomaly else "continue_monitoring"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def forecast_power_generation(weather_data: Dict, historical_data: List) -> Dict:
|
||||
"""Forecast power generation based on weather and historical patterns"""
|
||||
# Simulate power forecasting
|
||||
base_forecast = [2.0 + (i * 0.1) for i in range(24)] # 24-hour forecast
|
||||
|
||||
return {
|
||||
"forecast_id": f"FCST-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"start_time": datetime.now().isoformat(),
|
||||
"end_time": (datetime.now() + timedelta(hours=24)).isoformat(),
|
||||
"predicted_output": base_forecast,
|
||||
"confidence_interval": 0.85,
|
||||
"weather_factors": weather_data,
|
||||
"grid_demand": sum(base_forecast)
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def schedule_maintenance(turbine_id: str, maintenance_type: str, urgency: str = "normal") -> Dict:
|
||||
"""Schedule maintenance based on condition monitoring"""
|
||||
# Calculate maintenance window
|
||||
if urgency == "urgent":
|
||||
scheduled_date = (datetime.now() + timedelta(days=1)).isoformat()
|
||||
else:
|
||||
scheduled_date = (datetime.now() + timedelta(days=7)).isoformat()
|
||||
|
||||
return {
|
||||
"plan_id": f"MNT-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"turbine_id": turbine_id,
|
||||
"maintenance_type": maintenance_type,
|
||||
"scheduled_date": scheduled_date,
|
||||
"estimated_duration": 4,
|
||||
"required_parts": ["bearing_set", "lubricant", "filter"],
|
||||
"technician_team": "Team-A",
|
||||
"production_loss": 8.0 # MW lost during maintenance
|
||||
}
|
||||
|
||||
|
||||
# Agent Definitions with SLA requirements
|
||||
scada_reader = Agent(
|
||||
name="SCADAReader",
|
||||
instructions="""You are a SCADA system specialist for wind farms.
|
||||
Process real-time telemetry data from wind turbines.
|
||||
Identify operational anomalies and performance deviations.
|
||||
SLA: Process telemetry within 1 second for real-time monitoring.""",
|
||||
tools=[read_scada_telemetry]
|
||||
)
|
||||
|
||||
vibration_analyzer = Agent(
|
||||
name="VibrationAnalyzer",
|
||||
instructions="""You are a vibration analysis expert for rotating machinery.
|
||||
Analyze vibration patterns to detect early signs of mechanical failure.
|
||||
Use FFT analysis and pattern recognition for fault diagnosis.
|
||||
SLA: Complete analysis within 5 seconds per turbine.""",
|
||||
tools=[analyze_vibration_patterns]
|
||||
)
|
||||
|
||||
power_forecaster = Agent(
|
||||
name="PowerForecaster",
|
||||
instructions="""You are a power generation forecasting specialist.
|
||||
Predict power output based on weather forecasts and historical patterns.
|
||||
Consider grid demand and optimize generation schedules.
|
||||
SLA: Generate 24-hour forecast within 30 seconds.""",
|
||||
tools=[forecast_power_generation]
|
||||
)
|
||||
|
||||
maintenance_scheduler = Agent(
|
||||
name="MaintenanceScheduler",
|
||||
instructions="""You are a predictive maintenance planning expert.
|
||||
Schedule maintenance based on condition monitoring and failure predictions.
|
||||
Minimize production loss while ensuring turbine reliability.
|
||||
SLA: Create maintenance plan within 1 minute.""",
|
||||
tools=[schedule_maintenance]
|
||||
)
|
||||
|
||||
|
||||
# Energy workflow with grid integration
|
||||
def energy_monitoring_workflow(turbine_ids: List[str], weather_forecast: Dict):
|
||||
"""
|
||||
Complete energy monitoring and optimization workflow
|
||||
Includes predictive maintenance and grid integration
|
||||
"""
|
||||
|
||||
results = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"turbines_monitored": len(turbine_ids),
|
||||
"alerts": [],
|
||||
"maintenance_required": [],
|
||||
"power_forecast": None
|
||||
}
|
||||
|
||||
# Step 1: Monitor all turbines
|
||||
for turbine_id in turbine_ids:
|
||||
try:
|
||||
# Read SCADA data
|
||||
scada_data = scada_reader.start(
|
||||
f"Read telemetry for turbine {turbine_id}"
|
||||
)
|
||||
|
||||
# Analyze vibrations
|
||||
vibration_result = vibration_analyzer.start(
|
||||
f"Analyze vibrations for data: {scada_data}"
|
||||
)
|
||||
|
||||
# Check for anomalies
|
||||
if vibration_result.get("anomaly_detected"):
|
||||
results["alerts"].append({
|
||||
"turbine_id": turbine_id,
|
||||
"type": "vibration_anomaly",
|
||||
"severity": "high" if vibration_result.get("failure_probability", 0) > 0.7 else "medium"
|
||||
})
|
||||
|
||||
# Schedule maintenance if needed
|
||||
maintenance_plan = maintenance_scheduler.start(
|
||||
f"Schedule maintenance for turbine {turbine_id} with urgency based on {vibration_result}"
|
||||
)
|
||||
results["maintenance_required"].append(maintenance_plan)
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Mark turbine for manual inspection
|
||||
results["alerts"].append({
|
||||
"turbine_id": turbine_id,
|
||||
"type": "monitoring_failure",
|
||||
"error": str(e),
|
||||
"action": "manual_inspection_required"
|
||||
})
|
||||
|
||||
# Step 2: Power generation forecast
|
||||
try:
|
||||
historical_data = [] # Would be fetched from database
|
||||
power_forecast = power_forecaster.start(
|
||||
f"Forecast power with weather {weather_forecast} and history {historical_data}"
|
||||
)
|
||||
results["power_forecast"] = power_forecast
|
||||
|
||||
# Grid integration check
|
||||
if power_forecast.get("predicted_output"):
|
||||
total_predicted = sum(power_forecast["predicted_output"])
|
||||
grid_demand = power_forecast.get("grid_demand", 0)
|
||||
|
||||
if total_predicted < grid_demand * 0.9:
|
||||
results["alerts"].append({
|
||||
"type": "supply_shortage",
|
||||
"predicted": total_predicted,
|
||||
"demand": grid_demand,
|
||||
"action": "consider_backup_sources"
|
||||
})
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Use conservative forecast
|
||||
results["power_forecast"] = {
|
||||
"status": "fallback_mode",
|
||||
"conservative_estimate": len(turbine_ids) * 1.5, # MW
|
||||
"error": str(e)
|
||||
}
|
||||
|
||||
return results
|
||||
|
||||
|
||||
# Cross-industry pattern adaptation
|
||||
class EnergyPatternAdapter:
|
||||
"""
|
||||
Adapts manufacturing patterns for energy sector
|
||||
Demonstrates 70% code reuse across industries
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_solar_farm():
|
||||
"""Adapt wind farm agents for solar farm monitoring"""
|
||||
return Agent(
|
||||
name="SolarMonitor",
|
||||
instructions="""Monitor solar panel efficiency and temperature.
|
||||
Track irradiance levels and predict power output.
|
||||
Detect panel degradation and soiling issues.
|
||||
SLA: Real-time monitoring with 2-second updates."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_power_grid():
|
||||
"""Adapt for power grid management"""
|
||||
return Agent(
|
||||
name="GridBalancer",
|
||||
instructions="""Balance power supply and demand across the grid.
|
||||
Manage load distribution and prevent blackouts.
|
||||
Coordinate with renewable and traditional sources.
|
||||
SLA: Sub-second response for grid stability."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_battery_storage():
|
||||
"""Adapt for battery energy storage systems"""
|
||||
return Agent(
|
||||
name="BatteryOptimizer",
|
||||
instructions="""Optimize battery charge/discharge cycles.
|
||||
Predict battery degradation and schedule replacements.
|
||||
Maximize energy arbitrage opportunities.
|
||||
SLA: Optimization decision within 10 seconds."""
|
||||
)
|
||||
|
||||
|
||||
# Fallback strategies for critical operations
|
||||
class EnergyFallbackStrategies:
|
||||
"""
|
||||
Fallback strategies for maintaining grid stability
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def turbine_failure_fallback(failed_turbine_id: str, available_turbines: List[str]):
|
||||
"""Handle turbine failure by redistributing load"""
|
||||
return {
|
||||
"strategy": "load_redistribution",
|
||||
"failed_turbine": failed_turbine_id,
|
||||
"compensating_turbines": available_turbines[:3], # Use top 3 turbines
|
||||
"increase_output_by": 0.3, # MW per turbine
|
||||
"duration": "until_maintenance_complete"
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def forecast_failure_fallback(last_known_forecast: Optional[Dict]):
|
||||
"""Handle forecasting system failure"""
|
||||
if last_known_forecast:
|
||||
return {
|
||||
"strategy": "use_last_known",
|
||||
"forecast": last_known_forecast,
|
||||
"confidence": 0.6,
|
||||
"validity": "4_hours"
|
||||
}
|
||||
else:
|
||||
return {
|
||||
"strategy": "seasonal_average",
|
||||
"estimated_output": 50.0, # MW based on seasonal average
|
||||
"confidence": 0.4,
|
||||
"recommendation": "increase_reserves"
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def communication_failure_fallback():
|
||||
"""Handle SCADA communication failure"""
|
||||
return {
|
||||
"strategy": "local_control_mode",
|
||||
"actions": [
|
||||
"Switch turbines to autonomous mode",
|
||||
"Use local safety thresholds",
|
||||
"Log data locally for later sync",
|
||||
"Alert maintenance teams"
|
||||
],
|
||||
"recovery_check_interval": 300 # seconds
|
||||
}
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Monitor wind farm
|
||||
turbine_list = [f"WT-{i:03d}" for i in range(1, 11)] # 10 turbines
|
||||
weather = {"wind_speed": 14.0, "direction": "NW", "temperature": 15.0}
|
||||
|
||||
result = energy_monitoring_workflow(turbine_list, weather)
|
||||
print("Energy monitoring result:", result)
|
||||
|
||||
# Demonstrate cross-industry adaptation
|
||||
solar_monitor = EnergyPatternAdapter.adapt_for_solar_farm()
|
||||
grid_balancer = EnergyPatternAdapter.adapt_for_power_grid()
|
||||
battery_optimizer = EnergyPatternAdapter.adapt_for_battery_storage()
|
||||
|
||||
# Fallback examples
|
||||
turbine_fallback = EnergyFallbackStrategies.turbine_failure_fallback(
|
||||
"WT-003", ["WT-001", "WT-002", "WT-004", "WT-005"]
|
||||
)
|
||||
print("Turbine failure fallback:", turbine_fallback)
|
||||
@@ -1,478 +0,0 @@
|
||||
"""
|
||||
Healthcare Industry Template
|
||||
============================
|
||||
Emergency triage and patient care coordination workflow
|
||||
Based on SRAO Framework with HIPAA-compliant patterns
|
||||
|
||||
Key agents:
|
||||
- VitalSignsCapture: Processes patient vital signs
|
||||
- EMRRetrieval: Retrieves electronic medical records
|
||||
- TriageRecommendation: Provides triage recommendations
|
||||
- ResourceAllocator: Manages hospital resource allocation
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime
|
||||
from enum import Enum
|
||||
|
||||
|
||||
# Triage levels following Emergency Severity Index (ESI)
|
||||
class TriageLevel(str, Enum):
|
||||
RESUSCITATION = "1_resuscitation" # Immediate life-saving intervention
|
||||
EMERGENT = "2_emergent" # High risk, severe pain/distress
|
||||
URGENT = "3_urgent" # Stable but needs multiple resources
|
||||
LESS_URGENT = "4_less_urgent" # Stable, one resource needed
|
||||
NON_URGENT = "5_non_urgent" # Stable, no resources needed
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class VitalSigns(BaseModel):
|
||||
"""Patient vital signs data"""
|
||||
patient_id: str
|
||||
timestamp: str
|
||||
heart_rate: int # bpm
|
||||
blood_pressure_systolic: int # mmHg
|
||||
blood_pressure_diastolic: int # mmHg
|
||||
respiratory_rate: int # breaths/min
|
||||
temperature: float # Celsius
|
||||
oxygen_saturation: int # percentage
|
||||
pain_scale: int # 0-10
|
||||
consciousness_level: str # alert, verbal, pain, unresponsive (AVPU)
|
||||
|
||||
|
||||
class MedicalHistory(BaseModel):
|
||||
"""Patient medical history from EMR"""
|
||||
patient_id: str
|
||||
allergies: List[str]
|
||||
chronic_conditions: List[str]
|
||||
current_medications: List[Dict[str, str]]
|
||||
recent_visits: List[Dict[str, Any]]
|
||||
emergency_contacts: List[Dict[str, str]]
|
||||
insurance_status: str
|
||||
|
||||
|
||||
class TriageAssessment(BaseModel):
|
||||
"""Triage assessment and recommendations"""
|
||||
assessment_id: str
|
||||
patient_id: str
|
||||
triage_level: TriageLevel
|
||||
chief_complaint: str
|
||||
recommended_department: str
|
||||
estimated_wait_time: int # minutes
|
||||
required_resources: List[str]
|
||||
clinical_notes: str
|
||||
red_flags: List[str]
|
||||
|
||||
|
||||
class ResourceAllocation(BaseModel):
|
||||
"""Hospital resource allocation"""
|
||||
allocation_id: str
|
||||
patient_id: str
|
||||
assigned_bed: Optional[str]
|
||||
assigned_staff: List[str]
|
||||
equipment_needed: List[str]
|
||||
department: str
|
||||
priority_score: float
|
||||
estimated_treatment_time: int # minutes
|
||||
|
||||
|
||||
# Healthcare-specific tools
|
||||
@tool
|
||||
def capture_vital_signs(patient_id: str) -> Dict:
|
||||
"""Capture patient vital signs from monitoring devices"""
|
||||
# Simulate vital signs capture
|
||||
return {
|
||||
"patient_id": patient_id,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"heart_rate": 78,
|
||||
"blood_pressure_systolic": 130,
|
||||
"blood_pressure_diastolic": 85,
|
||||
"respiratory_rate": 16,
|
||||
"temperature": 37.2,
|
||||
"oxygen_saturation": 98,
|
||||
"pain_scale": 6,
|
||||
"consciousness_level": "alert"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def retrieve_medical_history(patient_id: str, consent_verified: bool = True) -> Dict:
|
||||
"""Retrieve patient medical history from EMR system"""
|
||||
if not consent_verified:
|
||||
return {"error": "consent_required", "message": "Patient consent required for EMR access"}
|
||||
|
||||
# Simulate EMR retrieval
|
||||
return {
|
||||
"patient_id": patient_id,
|
||||
"allergies": ["penicillin", "latex"],
|
||||
"chronic_conditions": ["hypertension", "diabetes_type2"],
|
||||
"current_medications": [
|
||||
{"name": "metformin", "dose": "500mg", "frequency": "twice daily"},
|
||||
{"name": "lisinopril", "dose": "10mg", "frequency": "once daily"}
|
||||
],
|
||||
"recent_visits": [
|
||||
{"date": "2024-02-15", "reason": "routine_checkup", "department": "primary_care"}
|
||||
],
|
||||
"emergency_contacts": [
|
||||
{"name": "Jane Doe", "relationship": "spouse", "phone": "555-0123"}
|
||||
],
|
||||
"insurance_status": "active"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_triage_priority(vital_signs: Dict, medical_history: Dict, chief_complaint: str) -> Dict:
|
||||
"""Calculate triage priority based on clinical indicators"""
|
||||
# Simulate triage algorithm
|
||||
priority_score = 0
|
||||
red_flags = []
|
||||
|
||||
# Check vital signs
|
||||
if vital_signs["heart_rate"] > 120 or vital_signs["heart_rate"] < 50:
|
||||
priority_score += 3
|
||||
red_flags.append("abnormal_heart_rate")
|
||||
|
||||
if vital_signs["oxygen_saturation"] < 92:
|
||||
priority_score += 4
|
||||
red_flags.append("low_oxygen")
|
||||
|
||||
if vital_signs["consciousness_level"] != "alert":
|
||||
priority_score += 5
|
||||
red_flags.append("altered_consciousness")
|
||||
|
||||
# Determine triage level
|
||||
if priority_score >= 8:
|
||||
triage_level = TriageLevel.RESUSCITATION
|
||||
department = "emergency"
|
||||
wait_time = 0
|
||||
elif priority_score >= 5:
|
||||
triage_level = TriageLevel.EMERGENT
|
||||
department = "emergency"
|
||||
wait_time = 10
|
||||
elif priority_score >= 3:
|
||||
triage_level = TriageLevel.URGENT
|
||||
department = "urgent_care"
|
||||
wait_time = 30
|
||||
else:
|
||||
triage_level = TriageLevel.LESS_URGENT
|
||||
department = "primary_care"
|
||||
wait_time = 60
|
||||
|
||||
return {
|
||||
"assessment_id": f"TRG-{datetime.now().strftime('%Y%m%d%H%M%S')}",
|
||||
"patient_id": vital_signs["patient_id"],
|
||||
"triage_level": triage_level.value,
|
||||
"chief_complaint": chief_complaint,
|
||||
"recommended_department": department,
|
||||
"estimated_wait_time": wait_time,
|
||||
"required_resources": ["physician", "nurse", "monitoring"],
|
||||
"clinical_notes": f"Priority score: {priority_score}",
|
||||
"red_flags": red_flags
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def allocate_resources(patient_id: str, triage_level: str, department: str) -> Dict:
|
||||
"""Allocate hospital resources based on triage assessment"""
|
||||
# Simulate resource allocation
|
||||
if "resuscitation" in triage_level:
|
||||
bed = "ER-01"
|
||||
staff = ["Dr. Smith", "Nurse Johnson", "Nurse Williams"]
|
||||
equipment = ["cardiac_monitor", "defibrillator", "crash_cart"]
|
||||
priority = 10.0
|
||||
elif "emergent" in triage_level:
|
||||
bed = "ER-05"
|
||||
staff = ["Dr. Brown", "Nurse Davis"]
|
||||
equipment = ["vital_signs_monitor", "IV_pump"]
|
||||
priority = 8.0
|
||||
else:
|
||||
bed = "UC-12"
|
||||
staff = ["PA Miller", "Nurse Garcia"]
|
||||
equipment = ["basic_monitor"]
|
||||
priority = 5.0
|
||||
|
||||
return {
|
||||
"allocation_id": f"RES-{datetime.now().strftime('%Y%m%d%H%M%S')}",
|
||||
"patient_id": patient_id,
|
||||
"assigned_bed": bed,
|
||||
"assigned_staff": staff,
|
||||
"equipment_needed": equipment,
|
||||
"department": department,
|
||||
"priority_score": priority,
|
||||
"estimated_treatment_time": 45
|
||||
}
|
||||
|
||||
|
||||
# Healthcare agent definitions with SLA requirements
|
||||
vital_signs_agent = Agent(
|
||||
name="VitalSignsCapture",
|
||||
instructions="""You are a clinical vital signs specialist.
|
||||
Capture and interpret patient vital signs from various monitoring devices.
|
||||
Identify abnormal values and trends that require immediate attention.
|
||||
Follow HIPAA guidelines for patient data handling.
|
||||
SLA: Capture and process within 30 seconds.""",
|
||||
tools=[capture_vital_signs]
|
||||
)
|
||||
|
||||
emr_agent = Agent(
|
||||
name="EMRRetrieval",
|
||||
instructions="""You are an EMR system specialist with HIPAA compliance expertise.
|
||||
Retrieve relevant patient medical history while ensuring data privacy.
|
||||
Verify patient consent and maintain audit trails.
|
||||
Highlight relevant allergies and contraindications.
|
||||
SLA: Retrieve records within 5 seconds.""",
|
||||
tools=[retrieve_medical_history]
|
||||
)
|
||||
|
||||
triage_agent = Agent(
|
||||
name="TriageRecommendation",
|
||||
instructions="""You are an emergency triage specialist following ESI guidelines.
|
||||
Assess patient severity and provide triage recommendations.
|
||||
Consider vital signs, medical history, and presenting symptoms.
|
||||
Identify red flags that require immediate intervention.
|
||||
SLA: Complete assessment within 1 minute.""",
|
||||
tools=[calculate_triage_priority]
|
||||
)
|
||||
|
||||
resource_agent = Agent(
|
||||
name="ResourceAllocator",
|
||||
instructions="""You are a hospital resource management specialist.
|
||||
Allocate beds, staff, and equipment based on patient needs and priority.
|
||||
Optimize resource utilization while maintaining quality of care.
|
||||
Coordinate between departments for efficient patient flow.
|
||||
SLA: Allocate resources within 30 seconds.""",
|
||||
tools=[allocate_resources]
|
||||
)
|
||||
|
||||
|
||||
# Healthcare workflow with safety protocols
|
||||
def emergency_triage_workflow(patient_id: str, chief_complaint: str):
|
||||
"""
|
||||
Complete emergency triage workflow from arrival to resource allocation
|
||||
Includes safety checks and fallback protocols
|
||||
"""
|
||||
|
||||
workflow_result = {
|
||||
"patient_id": patient_id,
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"status": "in_progress",
|
||||
"safety_checks": [],
|
||||
"clinical_pathway": []
|
||||
}
|
||||
|
||||
# Step 1: Vital signs capture with validation
|
||||
try:
|
||||
vital_signs = vital_signs_agent.start(
|
||||
f"Capture vital signs for patient {patient_id}"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "vital_signs",
|
||||
"status": "completed",
|
||||
"data": vital_signs
|
||||
})
|
||||
|
||||
# Safety check: Validate vital signs are within possible ranges
|
||||
if vital_signs.get("heart_rate", 0) < 20 or vital_signs.get("heart_rate", 0) > 300:
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "vital_signs_validation",
|
||||
"issue": "impossible_heart_rate",
|
||||
"action": "manual_verification_required"
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Manual vital signs entry
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "vital_signs",
|
||||
"status": "manual_entry_required",
|
||||
"error": str(e)
|
||||
})
|
||||
vital_signs = {"manual_entry": True}
|
||||
|
||||
# Step 2: EMR retrieval with consent check
|
||||
try:
|
||||
medical_history = emr_agent.start(
|
||||
f"Retrieve medical history for patient {patient_id} with verified consent"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "emr_retrieval",
|
||||
"status": "completed",
|
||||
"records_retrieved": True
|
||||
})
|
||||
|
||||
# Safety check: Allergy alerts
|
||||
if medical_history.get("allergies"):
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "allergy_alert",
|
||||
"allergies": medical_history["allergies"],
|
||||
"action": "notify_all_providers"
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Proceed with limited information
|
||||
medical_history = {
|
||||
"patient_id": patient_id,
|
||||
"allergies": [],
|
||||
"note": "EMR_unavailable_proceed_with_caution"
|
||||
}
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "emr_unavailable",
|
||||
"action": "collect_history_manually"
|
||||
})
|
||||
|
||||
# Step 3: Triage assessment
|
||||
try:
|
||||
triage_assessment = triage_agent.start(
|
||||
f"Assess triage for patient with vitals {vital_signs}, "
|
||||
f"history {medical_history}, complaint: {chief_complaint}"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "triage_assessment",
|
||||
"status": "completed",
|
||||
"triage_level": triage_assessment.get("triage_level")
|
||||
})
|
||||
|
||||
# Safety check: Red flags requiring immediate action
|
||||
if triage_assessment.get("red_flags"):
|
||||
workflow_result["safety_checks"].append({
|
||||
"type": "clinical_red_flags",
|
||||
"flags": triage_assessment["red_flags"],
|
||||
"action": "immediate_physician_notification"
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Conservative triage (assume urgent)
|
||||
triage_assessment = {
|
||||
"triage_level": TriageLevel.URGENT.value,
|
||||
"recommended_department": "emergency",
|
||||
"fallback": True
|
||||
}
|
||||
|
||||
# Step 4: Resource allocation
|
||||
try:
|
||||
resource_allocation = resource_agent.start(
|
||||
f"Allocate resources for patient {patient_id} "
|
||||
f"with triage {triage_assessment.get('triage_level')} "
|
||||
f"to {triage_assessment.get('recommended_department')}"
|
||||
)
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "resource_allocation",
|
||||
"status": "completed",
|
||||
"bed_assigned": resource_allocation.get("assigned_bed"),
|
||||
"staff_assigned": resource_allocation.get("assigned_staff")
|
||||
})
|
||||
except Exception as e:
|
||||
# Fallback: Queue for next available
|
||||
workflow_result["clinical_pathway"].append({
|
||||
"step": "resource_allocation",
|
||||
"status": "queued",
|
||||
"queue_position": "next_available",
|
||||
"error": str(e)
|
||||
})
|
||||
|
||||
workflow_result["status"] = "completed"
|
||||
return workflow_result
|
||||
|
||||
|
||||
# HIPAA-compliant data handling patterns
|
||||
class HIPAACompliancePatterns:
|
||||
"""
|
||||
Reusable patterns for HIPAA-compliant healthcare workflows
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def anonymize_patient_data(data: Dict) -> Dict:
|
||||
"""Remove PHI for analytics and reporting"""
|
||||
safe_fields = ["triage_level", "department", "wait_time", "resource_type"]
|
||||
return {k: v for k, v in data.items() if k in safe_fields}
|
||||
|
||||
@staticmethod
|
||||
def audit_log_access(user_id: str, patient_id: str, action: str, reason: str):
|
||||
"""Create audit trail for EMR access"""
|
||||
return {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"user_id": user_id,
|
||||
"patient_id": patient_id,
|
||||
"action": action,
|
||||
"reason": reason,
|
||||
"ip_address": "10.0.0.1", # Would be actual IP
|
||||
"session_id": "SEC-" + datetime.now().strftime('%Y%m%d%H%M%S')
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def encrypt_sensitive_data(data: Dict) -> Dict:
|
||||
"""Encrypt sensitive fields (placeholder for real encryption)"""
|
||||
sensitive_fields = ["ssn", "dob", "address", "phone"]
|
||||
encrypted = data.copy()
|
||||
for field in sensitive_fields:
|
||||
if field in encrypted:
|
||||
encrypted[field] = f"ENCRYPTED_{field.upper()}"
|
||||
return encrypted
|
||||
|
||||
|
||||
# Cross-department coordination patterns
|
||||
class HealthcareCoordinationPatterns:
|
||||
"""
|
||||
Patterns for coordinating across healthcare departments
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def coordinate_lab_orders(patient_id: str, triage_level: str) -> Agent:
|
||||
"""Create agent for lab order coordination"""
|
||||
return Agent(
|
||||
name="LabCoordinator",
|
||||
instructions=f"""Coordinate laboratory orders for patient {patient_id}.
|
||||
Priority level: {triage_level}.
|
||||
Ensure STAT orders for critical patients.
|
||||
Track specimen collection and result delivery.
|
||||
SLA: Order placement within 2 minutes."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def coordinate_radiology(patient_id: str, imaging_type: str) -> Agent:
|
||||
"""Create agent for radiology coordination"""
|
||||
return Agent(
|
||||
name="RadiologyCoordinator",
|
||||
instructions=f"""Schedule {imaging_type} imaging for patient {patient_id}.
|
||||
Check for contrast allergies and pregnancy status.
|
||||
Coordinate with transport for patient movement.
|
||||
SLA: Schedule within 5 minutes for urgent cases."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def coordinate_pharmacy(patient_id: str, medications: List[str]) -> Agent:
|
||||
"""Create agent for pharmacy coordination"""
|
||||
return Agent(
|
||||
name="PharmacyCoordinator",
|
||||
instructions=f"""Verify and dispense medications for patient {patient_id}.
|
||||
Check for drug interactions and allergies.
|
||||
Ensure proper dosing based on patient parameters.
|
||||
SLA: Medication verification within 3 minutes."""
|
||||
)
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Process emergency patient
|
||||
patient_id = "PT-2024-00123"
|
||||
chief_complaint = "severe chest pain radiating to left arm"
|
||||
|
||||
result = emergency_triage_workflow(patient_id, chief_complaint)
|
||||
print("Triage workflow result:", result)
|
||||
|
||||
# Create specialized coordinators
|
||||
lab_coordinator = HealthcareCoordinationPatterns.coordinate_lab_orders(
|
||||
patient_id, TriageLevel.EMERGENT.value
|
||||
)
|
||||
|
||||
radiology_coordinator = HealthcareCoordinationPatterns.coordinate_radiology(
|
||||
patient_id, "chest_xray"
|
||||
)
|
||||
|
||||
pharmacy_coordinator = HealthcareCoordinationPatterns.coordinate_pharmacy(
|
||||
patient_id, ["aspirin", "nitroglycerin"]
|
||||
)
|
||||
|
||||
# HIPAA compliance example
|
||||
audit_log = HIPAACompliancePatterns.audit_log_access(
|
||||
"DR-001", patient_id, "EMR_ACCESS", "emergency_triage"
|
||||
)
|
||||
print("Audit log created:", audit_log)
|
||||
@@ -1,298 +0,0 @@
|
||||
"""
|
||||
Manufacturing Industry Template
|
||||
================================
|
||||
Order scheduling, inventory management, and quality inspection workflow
|
||||
Based on SRAO Framework patterns with 70% cross-industry reuse
|
||||
|
||||
Key agents:
|
||||
- ParseOrder: Extracts order details from various formats
|
||||
- CheckInventory: Validates material availability
|
||||
- OptimizeSchedule: Optimizes production scheduling
|
||||
- DefectDetect: Quality control and defect detection
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class OrderDetails(BaseModel):
|
||||
"""Structured order information"""
|
||||
order_id: str
|
||||
customer_id: str
|
||||
product_id: str
|
||||
quantity: int
|
||||
priority: str = "normal" # normal, high, urgent
|
||||
due_date: str
|
||||
requirements: Dict[str, Any] = {}
|
||||
|
||||
|
||||
class InventoryStatus(BaseModel):
|
||||
"""Material availability status"""
|
||||
material_id: str
|
||||
available_quantity: int
|
||||
reorder_level: int
|
||||
supplier_lead_time: int
|
||||
location: str
|
||||
|
||||
|
||||
class ProductionSchedule(BaseModel):
|
||||
"""Optimized production schedule"""
|
||||
schedule_id: str
|
||||
production_line: str
|
||||
start_time: str
|
||||
end_time: str
|
||||
assigned_workers: List[str]
|
||||
estimated_completion: str
|
||||
bottleneck_analysis: Dict[str, Any] = {}
|
||||
|
||||
|
||||
class QualityReport(BaseModel):
|
||||
"""Quality inspection results"""
|
||||
batch_id: str
|
||||
inspection_time: str
|
||||
defect_rate: float
|
||||
defect_types: List[str]
|
||||
passed: bool
|
||||
recommendations: List[str]
|
||||
|
||||
|
||||
# Tools for agents
|
||||
@tool
|
||||
def extract_order_details(text: str) -> Dict:
|
||||
"""Extract structured order information from unstructured text"""
|
||||
# Simulate order parsing logic
|
||||
return {
|
||||
"order_id": "ORD-2024-001",
|
||||
"customer_id": "CUST-123",
|
||||
"product_id": "PROD-456",
|
||||
"quantity": 100,
|
||||
"priority": "high",
|
||||
"due_date": "2024-03-15",
|
||||
"requirements": {"material": "steel", "finish": "polished"}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def check_material_availability(product_id: str, quantity: int) -> Dict:
|
||||
"""Check if materials are available for production"""
|
||||
# Simulate inventory check
|
||||
return {
|
||||
"material_id": "MAT-789",
|
||||
"available_quantity": 500,
|
||||
"reorder_level": 100,
|
||||
"supplier_lead_time": 7,
|
||||
"location": "Warehouse-A"
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_optimal_schedule(order: Dict, inventory: Dict) -> Dict:
|
||||
"""Calculate optimal production schedule based on constraints"""
|
||||
# Simulate scheduling optimization
|
||||
return {
|
||||
"schedule_id": "SCH-2024-001",
|
||||
"production_line": "Line-3",
|
||||
"start_time": "2024-03-10T08:00:00",
|
||||
"end_time": "2024-03-14T17:00:00",
|
||||
"assigned_workers": ["Worker-001", "Worker-002"],
|
||||
"estimated_completion": "2024-03-14T16:30:00",
|
||||
"bottleneck_analysis": {
|
||||
"critical_path": "Assembly",
|
||||
"buffer_time": 2.5
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def perform_quality_inspection(batch_id: str) -> Dict:
|
||||
"""Perform automated quality inspection on production batch"""
|
||||
# Simulate quality control
|
||||
return {
|
||||
"batch_id": batch_id,
|
||||
"inspection_time": "2024-03-14T17:00:00",
|
||||
"defect_rate": 0.02,
|
||||
"defect_types": ["surface_scratch", "dimension_variance"],
|
||||
"passed": True,
|
||||
"recommendations": [
|
||||
"Adjust machine calibration on Line-3",
|
||||
"Increase inspection frequency for next batch"
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
# Agent Definitions with SLA requirements
|
||||
order_parser = Agent(
|
||||
name="ParseOrder",
|
||||
instructions="""You are an order parsing specialist. Extract and structure order information
|
||||
from various formats (email, PDF, API). Ensure all required fields are captured and validated.
|
||||
SLA: Process within 30 seconds per order.""",
|
||||
tools=[extract_order_details]
|
||||
)
|
||||
|
||||
inventory_checker = Agent(
|
||||
name="CheckInventory",
|
||||
instructions="""You are an inventory management specialist. Verify material availability,
|
||||
check reorder points, and identify potential supply chain issues.
|
||||
SLA: Real-time response within 5 seconds.""",
|
||||
tools=[check_material_availability]
|
||||
)
|
||||
|
||||
schedule_optimizer = Agent(
|
||||
name="OptimizeSchedule",
|
||||
instructions="""You are a production scheduling expert. Optimize production schedules
|
||||
based on order priority, resource availability, and constraints. Minimize idle time
|
||||
and maximize throughput.
|
||||
SLA: Generate schedule within 2 minutes for complex orders.""",
|
||||
tools=[calculate_optimal_schedule]
|
||||
)
|
||||
|
||||
quality_inspector = Agent(
|
||||
name="DefectDetect",
|
||||
instructions="""You are a quality control specialist. Perform automated inspections,
|
||||
detect defects using vision analysis, and provide improvement recommendations.
|
||||
SLA: Complete inspection within 1 minute per batch.""",
|
||||
tools=[perform_quality_inspection]
|
||||
)
|
||||
|
||||
|
||||
# Workflow with fallback strategies
|
||||
def manufacturing_workflow(order_text: str):
|
||||
"""
|
||||
Complete manufacturing workflow from order to quality control
|
||||
Includes fallback strategies for each critical step
|
||||
"""
|
||||
|
||||
# Step 1: Parse order with fallback
|
||||
try:
|
||||
order_details = order_parser.start(f"Parse this order: {order_text}")
|
||||
if not order_details:
|
||||
# Fallback: Manual review queue
|
||||
return {"status": "manual_review_required", "reason": "order_parsing_failed"}
|
||||
except Exception as e:
|
||||
return {"status": "error", "stage": "order_parsing", "error": str(e)}
|
||||
|
||||
# Step 2: Check inventory with fallback
|
||||
try:
|
||||
inventory_status = inventory_checker.start(
|
||||
f"Check materials for order: {order_details}"
|
||||
)
|
||||
if not inventory_status:
|
||||
# Fallback: Alternative supplier check
|
||||
return {"status": "alternative_supplier_needed", "order": order_details}
|
||||
except Exception as e:
|
||||
# Fallback: Conservative estimate with safety margin
|
||||
inventory_status = {"estimated": True, "safety_margin": 1.5}
|
||||
|
||||
# Step 3: Optimize schedule with fallback
|
||||
try:
|
||||
schedule = schedule_optimizer.start(
|
||||
f"Create schedule for order {order_details} with inventory {inventory_status}"
|
||||
)
|
||||
if not schedule:
|
||||
# Fallback: Standard scheduling template
|
||||
schedule = {"template": "standard", "priority": "normal"}
|
||||
except Exception as e:
|
||||
# Fallback: Queue for next available slot
|
||||
schedule = {"status": "queued", "estimated_start": "next_available"}
|
||||
|
||||
# Step 4: Quality inspection with fallback
|
||||
try:
|
||||
quality_report = quality_inspector.start(
|
||||
f"Inspect batch for schedule {schedule}"
|
||||
)
|
||||
if not quality_report:
|
||||
# Fallback: Manual inspection required
|
||||
quality_report = {"requires_manual": True, "inspector_assigned": "QC-Team-1"}
|
||||
except Exception as e:
|
||||
# Fallback: Quarantine for review
|
||||
quality_report = {"status": "quarantined", "review_required": True}
|
||||
|
||||
return {
|
||||
"status": "completed",
|
||||
"order": order_details,
|
||||
"inventory": inventory_status,
|
||||
"schedule": schedule,
|
||||
"quality": quality_report
|
||||
}
|
||||
|
||||
|
||||
# Cross-industry reusable patterns (70% reuse)
|
||||
class IndustryAgentPattern:
|
||||
"""
|
||||
Base pattern reusable across industries
|
||||
Provides common agent capabilities that can be specialized
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def create_data_parser(name: str, domain: str, sla_seconds: int = 30):
|
||||
"""Create a data parsing agent for any domain"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are a {domain} data parsing specialist.
|
||||
Extract and structure information from various formats.
|
||||
Validate all required fields according to {domain} standards.
|
||||
SLA: Process within {sla_seconds} seconds."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_resource_checker(name: str, resource_type: str, sla_seconds: int = 5):
|
||||
"""Create a resource availability checker for any resource type"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are a {resource_type} availability specialist.
|
||||
Verify {resource_type} availability and identify constraints.
|
||||
Provide real-time status and alternative options if needed.
|
||||
SLA: Response within {sla_seconds} seconds."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_optimizer(name: str, optimization_target: str, sla_minutes: int = 2):
|
||||
"""Create an optimization agent for any target metric"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are an optimization expert for {optimization_target}.
|
||||
Find optimal solutions considering all constraints and priorities.
|
||||
Minimize waste and maximize efficiency.
|
||||
SLA: Generate solution within {sla_minutes} minutes."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def create_inspector(name: str, inspection_type: str, sla_minutes: int = 1):
|
||||
"""Create an inspection agent for any quality metric"""
|
||||
return Agent(
|
||||
name=name,
|
||||
instructions=f"""You are a {inspection_type} inspection specialist.
|
||||
Perform automated analysis and detect anomalies.
|
||||
Provide actionable recommendations for improvement.
|
||||
SLA: Complete inspection within {sla_minutes} minute(s)."""
|
||||
)
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Create a manufacturing workflow instance
|
||||
order = "Customer ABC needs 100 units of Product-XYZ by March 15th, high priority"
|
||||
|
||||
# Option 1: Use specialized agents
|
||||
result = manufacturing_workflow(order)
|
||||
print("Manufacturing workflow result:", result)
|
||||
|
||||
# Option 2: Use reusable patterns for other industries
|
||||
# These patterns can be adapted for Energy, Healthcare, Agriculture, Transportation
|
||||
energy_parser = IndustryAgentPattern.create_data_parser(
|
||||
"EnergyDataParser", "wind farm telemetry", sla_seconds=10
|
||||
)
|
||||
|
||||
healthcare_checker = IndustryAgentPattern.create_resource_checker(
|
||||
"BedAvailability", "hospital bed", sla_seconds=3
|
||||
)
|
||||
|
||||
agriculture_optimizer = IndustryAgentPattern.create_optimizer(
|
||||
"IrrigationOptimizer", "water usage", sla_minutes=5
|
||||
)
|
||||
|
||||
transport_inspector = IndustryAgentPattern.create_inspector(
|
||||
"TunnelSafety", "structural integrity", sla_minutes=2
|
||||
)
|
||||
@@ -1,599 +0,0 @@
|
||||
"""
|
||||
Transportation Industry Template
|
||||
================================
|
||||
Tunnel safety monitoring and infrastructure management workflow
|
||||
Based on SRAO Framework with LiDAR and sensor fusion
|
||||
|
||||
Key agents:
|
||||
- LiDARFusion: Processes LiDAR point cloud data
|
||||
- DisplacementCalculator: Calculates structural displacement
|
||||
- HeatmapGenerator: Generates safety heatmaps
|
||||
- MaintenancePlanner: Plans infrastructure maintenance
|
||||
"""
|
||||
|
||||
from praisonaiagents import Agent, tool
|
||||
from typing import Dict, List, Any, Tuple, Optional
|
||||
from pydantic import BaseModel
|
||||
from datetime import datetime, timedelta
|
||||
from enum import Enum
|
||||
import math
|
||||
|
||||
|
||||
# Safety levels for infrastructure
|
||||
class SafetyLevel(str, Enum):
|
||||
SAFE = "safe"
|
||||
CAUTION = "caution"
|
||||
WARNING = "warning"
|
||||
DANGER = "danger"
|
||||
CRITICAL = "critical"
|
||||
|
||||
|
||||
# Infrastructure types
|
||||
class InfrastructureType(str, Enum):
|
||||
TUNNEL = "tunnel"
|
||||
BRIDGE = "bridge"
|
||||
HIGHWAY = "highway"
|
||||
RAILWAY = "railway"
|
||||
AIRPORT = "airport"
|
||||
|
||||
|
||||
# I/O Schemas
|
||||
class LiDARScan(BaseModel):
|
||||
"""LiDAR scan data for infrastructure"""
|
||||
scan_id: str
|
||||
infrastructure_id: str
|
||||
scan_time: str
|
||||
point_cloud_size: int # Number of points
|
||||
scan_resolution: float # Points per square meter
|
||||
coverage_area: float # Square meters
|
||||
anomaly_points: List[Tuple[float, float, float]] # XYZ coordinates
|
||||
reference_baseline: Optional[Dict[str, Any]]
|
||||
|
||||
|
||||
class DisplacementAnalysis(BaseModel):
|
||||
"""Structural displacement analysis"""
|
||||
analysis_id: str
|
||||
infrastructure_id: str
|
||||
analysis_time: str
|
||||
max_displacement: float # millimeters
|
||||
displacement_vector: Tuple[float, float, float] # XYZ displacement
|
||||
critical_zones: List[Dict[str, Any]]
|
||||
settlement_rate: float # mm/month
|
||||
tilt_angle: float # degrees
|
||||
safety_factor: float
|
||||
|
||||
|
||||
class SafetyHeatmap(BaseModel):
|
||||
"""Infrastructure safety heatmap"""
|
||||
heatmap_id: str
|
||||
infrastructure_id: str
|
||||
generation_time: str
|
||||
grid_resolution: float # meters
|
||||
safety_scores: List[List[float]] # 2D grid of safety scores
|
||||
critical_areas: List[Dict[str, Any]]
|
||||
overall_safety: SafetyLevel
|
||||
risk_trends: Dict[str, Any]
|
||||
|
||||
|
||||
class MaintenanceSchedule(BaseModel):
|
||||
"""Maintenance planning schedule"""
|
||||
schedule_id: str
|
||||
infrastructure_id: str
|
||||
maintenance_type: str # preventive, corrective, emergency
|
||||
priority_level: str # low, medium, high, critical
|
||||
scheduled_date: str
|
||||
estimated_duration: int # hours
|
||||
required_resources: List[str]
|
||||
traffic_impact: str
|
||||
cost_estimate: float
|
||||
|
||||
|
||||
# Transportation-specific tools
|
||||
@tool
|
||||
def process_lidar_scan(infrastructure_id: str, scan_type: str = "full") -> Dict:
|
||||
"""Process LiDAR point cloud data for structural analysis"""
|
||||
# Simulate LiDAR processing
|
||||
return {
|
||||
"scan_id": f"LIDAR-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": infrastructure_id,
|
||||
"scan_time": datetime.now().isoformat(),
|
||||
"point_cloud_size": 5000000, # 5 million points
|
||||
"scan_resolution": 100.0, # points/m²
|
||||
"coverage_area": 50000.0, # m²
|
||||
"anomaly_points": [
|
||||
(10.5, 20.3, 5.1),
|
||||
(15.2, 25.8, 5.3),
|
||||
(20.1, 30.5, 5.5)
|
||||
],
|
||||
"reference_baseline": {
|
||||
"date": "2024-01-01",
|
||||
"baseline_id": "BSL-001"
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def calculate_displacement(current_scan: Dict, baseline_scan: Dict) -> Dict:
|
||||
"""Calculate structural displacement from LiDAR scans"""
|
||||
# Simulate displacement calculation
|
||||
anomalies = current_scan.get("anomaly_points", [])
|
||||
|
||||
if len(anomalies) > 5:
|
||||
max_displacement = 15.0
|
||||
safety_factor = 0.6
|
||||
safety_level = SafetyLevel.WARNING
|
||||
elif len(anomalies) > 2:
|
||||
max_displacement = 8.0
|
||||
safety_factor = 0.8
|
||||
safety_level = SafetyLevel.CAUTION
|
||||
else:
|
||||
max_displacement = 3.0
|
||||
safety_factor = 0.95
|
||||
safety_level = SafetyLevel.SAFE
|
||||
|
||||
return {
|
||||
"analysis_id": f"DISP-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": current_scan["infrastructure_id"],
|
||||
"analysis_time": datetime.now().isoformat(),
|
||||
"max_displacement": max_displacement,
|
||||
"displacement_vector": (2.5, 1.8, max_displacement),
|
||||
"critical_zones": [
|
||||
{
|
||||
"zone_id": "CZ-001",
|
||||
"location": "tunnel_crown",
|
||||
"displacement": max_displacement * 0.8,
|
||||
"risk": "high" if max_displacement > 10 else "medium"
|
||||
}
|
||||
],
|
||||
"settlement_rate": max_displacement / 30, # mm/month
|
||||
"tilt_angle": math.degrees(math.atan(max_displacement / 1000)),
|
||||
"safety_factor": safety_factor
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def generate_safety_heatmap(displacement_data: Dict, sensor_data: List[Dict]) -> Dict:
|
||||
"""Generate safety heatmap visualization for infrastructure"""
|
||||
# Simulate heatmap generation
|
||||
safety_factor = displacement_data.get("safety_factor", 1.0)
|
||||
|
||||
# Create grid (simplified 10x10)
|
||||
grid_size = 10
|
||||
safety_grid = []
|
||||
critical_areas = []
|
||||
|
||||
for i in range(grid_size):
|
||||
row = []
|
||||
for j in range(grid_size):
|
||||
# Generate safety score based on position and displacement
|
||||
base_score = safety_factor
|
||||
distance_factor = math.sqrt((i-5)**2 + (j-5)**2) / 10
|
||||
safety_score = min(1.0, base_score + (0.2 * distance_factor))
|
||||
row.append(safety_score)
|
||||
|
||||
if safety_score < 0.7:
|
||||
critical_areas.append({
|
||||
"grid_position": (i, j),
|
||||
"safety_score": safety_score,
|
||||
"recommended_action": "immediate_inspection"
|
||||
})
|
||||
safety_grid.append(row)
|
||||
|
||||
# Determine overall safety
|
||||
avg_safety = sum(sum(row) for row in safety_grid) / (grid_size * grid_size)
|
||||
if avg_safety > 0.9:
|
||||
overall = SafetyLevel.SAFE
|
||||
elif avg_safety > 0.8:
|
||||
overall = SafetyLevel.CAUTION
|
||||
elif avg_safety > 0.7:
|
||||
overall = SafetyLevel.WARNING
|
||||
else:
|
||||
overall = SafetyLevel.DANGER
|
||||
|
||||
return {
|
||||
"heatmap_id": f"HEAT-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": displacement_data["infrastructure_id"],
|
||||
"generation_time": datetime.now().isoformat(),
|
||||
"grid_resolution": 5.0, # meters
|
||||
"safety_scores": safety_grid,
|
||||
"critical_areas": critical_areas,
|
||||
"overall_safety": overall.value,
|
||||
"risk_trends": {
|
||||
"trend": "deteriorating" if avg_safety < 0.8 else "stable",
|
||||
"rate": -0.02 if avg_safety < 0.8 else 0.0
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@tool
|
||||
def plan_maintenance(infrastructure_id: str, safety_analysis: Dict, traffic_data: Dict) -> Dict:
|
||||
"""Plan maintenance based on safety analysis and traffic patterns"""
|
||||
safety_level = safety_analysis.get("overall_safety", "safe")
|
||||
|
||||
# Determine maintenance urgency
|
||||
if safety_level in ["danger", "critical"]:
|
||||
maintenance_type = "emergency"
|
||||
priority = "critical"
|
||||
days_until = 1
|
||||
duration = 48
|
||||
elif safety_level == "warning":
|
||||
maintenance_type = "corrective"
|
||||
priority = "high"
|
||||
days_until = 7
|
||||
duration = 24
|
||||
elif safety_level == "caution":
|
||||
maintenance_type = "preventive"
|
||||
priority = "medium"
|
||||
days_until = 30
|
||||
duration = 12
|
||||
else:
|
||||
maintenance_type = "preventive"
|
||||
priority = "low"
|
||||
days_until = 90
|
||||
duration = 8
|
||||
|
||||
# Traffic impact assessment
|
||||
peak_traffic = traffic_data.get("peak_volume", 1000)
|
||||
if peak_traffic > 5000:
|
||||
traffic_impact = "severe"
|
||||
cost_multiplier = 2.0
|
||||
elif peak_traffic > 2000:
|
||||
traffic_impact = "moderate"
|
||||
cost_multiplier = 1.5
|
||||
else:
|
||||
traffic_impact = "minimal"
|
||||
cost_multiplier = 1.0
|
||||
|
||||
return {
|
||||
"schedule_id": f"MAINT-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"infrastructure_id": infrastructure_id,
|
||||
"maintenance_type": maintenance_type,
|
||||
"priority_level": priority,
|
||||
"scheduled_date": (datetime.now() + timedelta(days=days_until)).isoformat(),
|
||||
"estimated_duration": duration,
|
||||
"required_resources": [
|
||||
"inspection_team",
|
||||
"repair_crew",
|
||||
"safety_equipment",
|
||||
"traffic_control"
|
||||
],
|
||||
"traffic_impact": traffic_impact,
|
||||
"cost_estimate": 50000 * cost_multiplier * (duration / 24)
|
||||
}
|
||||
|
||||
|
||||
# Transportation agent definitions
|
||||
lidar_agent = Agent(
|
||||
name="LiDARFusion",
|
||||
instructions="""You are a LiDAR data processing specialist for infrastructure.
|
||||
Process point cloud data from mobile and terrestrial LiDAR scanners.
|
||||
Perform data fusion from multiple sensor sources.
|
||||
Identify structural anomalies and deformations.
|
||||
SLA: Process scan data within 5 minutes.""",
|
||||
tools=[process_lidar_scan]
|
||||
)
|
||||
|
||||
displacement_agent = Agent(
|
||||
name="DisplacementCalculator",
|
||||
instructions="""You are a structural displacement analysis expert.
|
||||
Calculate precise displacement measurements from temporal scans.
|
||||
Analyze settlement patterns and structural movements.
|
||||
Predict future displacement trends using ML models.
|
||||
SLA: Complete analysis within 2 minutes.""",
|
||||
tools=[calculate_displacement]
|
||||
)
|
||||
|
||||
heatmap_agent = Agent(
|
||||
name="HeatmapGenerator",
|
||||
instructions="""You are a safety visualization specialist.
|
||||
Generate intuitive safety heatmaps for infrastructure monitoring.
|
||||
Integrate multiple data sources for comprehensive risk assessment.
|
||||
Highlight critical areas requiring immediate attention.
|
||||
SLA: Generate heatmap within 1 minute.""",
|
||||
tools=[generate_safety_heatmap]
|
||||
)
|
||||
|
||||
maintenance_agent = Agent(
|
||||
name="MaintenancePlanner",
|
||||
instructions="""You are an infrastructure maintenance planning expert.
|
||||
Schedule maintenance based on structural health and traffic patterns.
|
||||
Optimize maintenance windows to minimize disruption.
|
||||
Coordinate resources and estimate costs.
|
||||
SLA: Create maintenance plan within 3 minutes.""",
|
||||
tools=[plan_maintenance]
|
||||
)
|
||||
|
||||
|
||||
# Transportation infrastructure monitoring workflow
|
||||
def infrastructure_monitoring_workflow(
|
||||
infrastructure_ids: List[str],
|
||||
infrastructure_type: InfrastructureType,
|
||||
traffic_data: Dict
|
||||
):
|
||||
"""
|
||||
Complete infrastructure monitoring workflow from scanning to maintenance
|
||||
Includes safety assessment and predictive maintenance
|
||||
"""
|
||||
|
||||
monitoring_results = {
|
||||
"timestamp": datetime.now().isoformat(),
|
||||
"infrastructure_type": infrastructure_type.value,
|
||||
"structures_monitored": len(infrastructure_ids),
|
||||
"safety_assessments": [],
|
||||
"maintenance_required": [],
|
||||
"emergency_alerts": [],
|
||||
"network_health_score": 0.0
|
||||
}
|
||||
|
||||
total_safety_score = 0.0
|
||||
|
||||
for infra_id in infrastructure_ids:
|
||||
try:
|
||||
# Step 1: LiDAR scanning
|
||||
lidar_scan = lidar_agent.start(
|
||||
f"Process LiDAR scan for {infrastructure_type.value} {infra_id}"
|
||||
)
|
||||
|
||||
# Step 2: Displacement analysis
|
||||
# Get baseline (would be from database in real scenario)
|
||||
baseline = {"scan_id": "BSL-001", "point_cloud": []}
|
||||
|
||||
displacement_analysis = displacement_agent.start(
|
||||
f"Calculate displacement for scan: {lidar_scan} against baseline: {baseline}"
|
||||
)
|
||||
|
||||
# Step 3: Generate safety heatmap
|
||||
sensor_data = [] # Would include IoT sensor readings
|
||||
safety_heatmap = heatmap_agent.start(
|
||||
f"Generate heatmap for displacement: {displacement_analysis} "
|
||||
f"with sensors: {sensor_data}"
|
||||
)
|
||||
|
||||
monitoring_results["safety_assessments"].append({
|
||||
"infrastructure_id": infra_id,
|
||||
"safety_level": safety_heatmap.get("overall_safety"),
|
||||
"max_displacement": displacement_analysis.get("max_displacement"),
|
||||
"critical_zones": len(safety_heatmap.get("critical_areas", []))
|
||||
})
|
||||
|
||||
# Check for emergency conditions
|
||||
if safety_heatmap.get("overall_safety") in ["danger", "critical"]:
|
||||
monitoring_results["emergency_alerts"].append({
|
||||
"infrastructure_id": infra_id,
|
||||
"alert_level": "emergency",
|
||||
"safety_status": safety_heatmap["overall_safety"],
|
||||
"immediate_action": "close_to_traffic",
|
||||
"notification_sent": True
|
||||
})
|
||||
|
||||
# Step 4: Emergency maintenance planning
|
||||
maintenance_plan = maintenance_agent.start(
|
||||
f"Plan emergency maintenance for {infra_id} "
|
||||
f"with safety: {safety_heatmap} and traffic: {traffic_data}"
|
||||
)
|
||||
monitoring_results["maintenance_required"].append(maintenance_plan)
|
||||
|
||||
elif safety_heatmap.get("overall_safety") in ["warning", "caution"]:
|
||||
# Regular maintenance planning
|
||||
maintenance_plan = maintenance_agent.start(
|
||||
f"Plan maintenance for {infra_id} "
|
||||
f"with safety: {safety_heatmap} and traffic: {traffic_data}"
|
||||
)
|
||||
monitoring_results["maintenance_required"].append(maintenance_plan)
|
||||
|
||||
# Calculate safety score contribution
|
||||
safety_mapping = {
|
||||
"safe": 1.0, "caution": 0.8, "warning": 0.6,
|
||||
"danger": 0.3, "critical": 0.1
|
||||
}
|
||||
total_safety_score += safety_mapping.get(
|
||||
safety_heatmap.get("overall_safety", "safe"), 0.5
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
# Fallback: Manual inspection
|
||||
monitoring_results["emergency_alerts"].append({
|
||||
"infrastructure_id": infra_id,
|
||||
"alert_level": "system_failure",
|
||||
"error": str(e),
|
||||
"action": "dispatch_manual_inspection_team"
|
||||
})
|
||||
|
||||
# Calculate network health score
|
||||
if infrastructure_ids:
|
||||
monitoring_results["network_health_score"] = (
|
||||
total_safety_score / len(infrastructure_ids) * 100
|
||||
)
|
||||
|
||||
return monitoring_results
|
||||
|
||||
|
||||
# Multi-modal transportation patterns
|
||||
class MultiModalTransportPatterns:
|
||||
"""
|
||||
Patterns for different transportation infrastructure types
|
||||
Demonstrates cross-industry reuse for transportation sector
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_bridge_monitoring() -> Agent:
|
||||
"""Adapt tunnel monitoring for bridge structures"""
|
||||
return Agent(
|
||||
name="BridgeMonitor",
|
||||
instructions="""Monitor bridge structural health using sensors.
|
||||
Track deck deflection, cable tension, and vibration patterns.
|
||||
Detect fatigue cracks and corrosion.
|
||||
Consider wind and seismic loads.
|
||||
SLA: Real-time monitoring with 10-second updates."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_railway_tracks() -> Agent:
|
||||
"""Adapt for railway track monitoring"""
|
||||
return Agent(
|
||||
name="RailwayMonitor",
|
||||
instructions="""Monitor railway track geometry and condition.
|
||||
Detect rail defects, gauge variations, and ballast degradation.
|
||||
Analyze wheel-rail interaction forces.
|
||||
Predict track maintenance needs.
|
||||
SLA: Process track inspection data within 3 minutes per km."""
|
||||
)
|
||||
|
||||
@staticmethod
|
||||
def adapt_for_airport_runways() -> Agent:
|
||||
"""Adapt for airport runway monitoring"""
|
||||
return Agent(
|
||||
name="RunwayMonitor",
|
||||
instructions="""Monitor airport runway surface conditions.
|
||||
Detect FOD (Foreign Object Debris) and surface irregularities.
|
||||
Assess pavement condition and friction levels.
|
||||
Monitor drainage and lighting systems.
|
||||
SLA: Complete runway scan within 10 minutes."""
|
||||
)
|
||||
|
||||
|
||||
# Intelligent traffic management integration
|
||||
class TrafficManagementPatterns:
|
||||
"""
|
||||
Patterns for integrating with intelligent traffic systems
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def optimize_traffic_flow(maintenance_window: Dict, traffic_patterns: Dict) -> Dict:
|
||||
"""Optimize traffic flow during maintenance"""
|
||||
peak_hours = traffic_patterns.get("peak_hours", [7, 9, 17, 19])
|
||||
maintenance_start = maintenance_window.get("start_time", "02:00")
|
||||
|
||||
# Calculate optimal diversion routes
|
||||
return {
|
||||
"strategy": "dynamic_routing",
|
||||
"diversion_routes": [
|
||||
{"route_id": "ALT-1", "capacity": 0.6, "added_time": 15},
|
||||
{"route_id": "ALT-2", "capacity": 0.3, "added_time": 20}
|
||||
],
|
||||
"lane_management": {
|
||||
"reversible_lanes": True,
|
||||
"peak_direction": "inbound" if int(maintenance_start[:2]) < 12 else "outbound"
|
||||
},
|
||||
"public_transport": {
|
||||
"increase_frequency": True,
|
||||
"additional_services": 4
|
||||
},
|
||||
"estimated_delay": 10 # minutes
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def incident_response_plan(incident_type: str, location: Dict) -> Dict:
|
||||
"""Generate incident response plan"""
|
||||
response_times = {
|
||||
"accident": 5,
|
||||
"breakdown": 10,
|
||||
"infrastructure_failure": 2,
|
||||
"weather_hazard": 15
|
||||
}
|
||||
|
||||
return {
|
||||
"incident_id": f"INC-{datetime.now().strftime('%Y%m%d%H%M')}",
|
||||
"response_time": response_times.get(incident_type, 10),
|
||||
"resources_dispatched": [
|
||||
r for r in [
|
||||
"emergency_response_team",
|
||||
"traffic_control_unit",
|
||||
"maintenance_crew" if "infrastructure" in incident_type else None
|
||||
] if r is not None
|
||||
],
|
||||
"traffic_management": {
|
||||
"lane_closures": 2,
|
||||
"speed_reduction": 30, # km/h
|
||||
"message_signs": ["Incident ahead", "Reduce speed", "Merge left"]
|
||||
},
|
||||
"estimated_clearance": 45 # minutes
|
||||
}
|
||||
|
||||
|
||||
# Predictive maintenance patterns
|
||||
class PredictiveMaintenancePatterns:
|
||||
"""
|
||||
ML-based predictive maintenance for transportation infrastructure
|
||||
"""
|
||||
|
||||
@staticmethod
|
||||
def predict_failure_probability(
|
||||
displacement_trend: List[float],
|
||||
environmental_factors: Dict
|
||||
) -> float:
|
||||
"""Predict probability of structural failure"""
|
||||
# Simplified prediction model
|
||||
trend_slope = (displacement_trend[-1] - displacement_trend[0]) / len(displacement_trend)
|
||||
temperature_factor = abs(environmental_factors.get("temp_variation", 0)) / 50
|
||||
moisture_factor = environmental_factors.get("humidity", 50) / 100
|
||||
|
||||
base_probability = 0.1
|
||||
trend_contribution = max(0, trend_slope * 10)
|
||||
env_contribution = (temperature_factor + moisture_factor) * 0.2
|
||||
|
||||
return min(1.0, base_probability + trend_contribution + env_contribution)
|
||||
|
||||
@staticmethod
|
||||
def optimize_maintenance_schedule(
|
||||
infrastructure_conditions: List[Dict],
|
||||
budget_constraint: float
|
||||
) -> List[Dict]:
|
||||
"""Optimize maintenance schedule across infrastructure network"""
|
||||
# Sort by urgency (safety_factor * cost_efficiency)
|
||||
prioritized = sorted(
|
||||
infrastructure_conditions,
|
||||
key=lambda x: (1 - x.get("safety_factor", 1)) * (1 / x.get("cost", 1)),
|
||||
reverse=True
|
||||
)
|
||||
|
||||
scheduled = []
|
||||
total_cost = 0
|
||||
|
||||
for infra in prioritized:
|
||||
if total_cost + infra.get("cost", 0) <= budget_constraint:
|
||||
scheduled.append({
|
||||
"infrastructure_id": infra["id"],
|
||||
"scheduled_date": infra["recommended_date"],
|
||||
"priority": "high" if infra["safety_factor"] < 0.7 else "medium"
|
||||
})
|
||||
total_cost += infra.get("cost", 0)
|
||||
|
||||
return scheduled
|
||||
|
||||
|
||||
# Example usage
|
||||
if __name__ == "__main__":
|
||||
# Monitor tunnel network
|
||||
tunnel_ids = [f"TUN-{i:03d}" for i in range(1, 6)]
|
||||
traffic = {
|
||||
"peak_volume": 3000,
|
||||
"off_peak_volume": 800,
|
||||
"peak_hours": [7, 9, 17, 19]
|
||||
}
|
||||
|
||||
result = infrastructure_monitoring_workflow(
|
||||
tunnel_ids,
|
||||
InfrastructureType.TUNNEL,
|
||||
traffic
|
||||
)
|
||||
print("Infrastructure monitoring result:", result)
|
||||
|
||||
# Multi-modal adaptation examples
|
||||
bridge_monitor = MultiModalTransportPatterns.adapt_for_bridge_monitoring()
|
||||
railway_monitor = MultiModalTransportPatterns.adapt_for_railway_tracks()
|
||||
runway_monitor = MultiModalTransportPatterns.adapt_for_airport_runways()
|
||||
|
||||
# Traffic management example
|
||||
maintenance = {"start_time": "22:00", "duration": 8}
|
||||
traffic_plan = TrafficManagementPatterns.optimize_traffic_flow(maintenance, traffic)
|
||||
print("Traffic optimization plan:", traffic_plan)
|
||||
|
||||
# Predictive maintenance example
|
||||
displacement_history = [2.0, 2.3, 2.8, 3.5, 4.3] # mm over months
|
||||
environment = {"temp_variation": 30, "humidity": 75}
|
||||
|
||||
failure_prob = PredictiveMaintenancePatterns.predict_failure_probability(
|
||||
displacement_history, environment
|
||||
)
|
||||
print(f"Failure probability: {failure_prob:.2%}")
|
||||
@@ -24,7 +24,7 @@ if has_api_key:
|
||||
input_text="What is 2 + 2?",
|
||||
expected_output="4",
|
||||
num_iterations=3, # Run 3 times for statistical significance
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Run evaluation
|
||||
@@ -42,7 +42,7 @@ else:
|
||||
input_text="What is 2 + 2?",
|
||||
expected_output="4",
|
||||
num_iterations=1,
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Test with mock output
|
||||
|
||||
@@ -27,7 +27,7 @@ if has_api_key:
|
||||
scoring_type="numeric", # Score 1-10
|
||||
threshold=7.0, # Pass if score >= 7
|
||||
num_iterations=2,
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Run evaluation
|
||||
@@ -45,7 +45,7 @@ if has_api_key:
|
||||
agent=agent,
|
||||
input_text="Tell me a joke",
|
||||
scoring_type="binary", # Pass or Fail
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
binary_result = binary_evaluator.run(print_summary=True)
|
||||
|
||||
@@ -26,7 +26,7 @@ if has_api_key:
|
||||
num_iterations=10, # Run 10 benchmark iterations
|
||||
warmup_runs=2, # 2 warmup runs before measurement
|
||||
track_memory=True, # Track memory usage
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Run evaluation
|
||||
|
||||
@@ -16,19 +16,8 @@ def search_web(query: str) -> str:
|
||||
|
||||
|
||||
def calculate(expression: str) -> str:
|
||||
"""Calculate a math expression safely."""
|
||||
import ast, operator
|
||||
_OPS = {ast.Add: operator.add, ast.Sub: operator.sub, ast.Mult: operator.mul,
|
||||
ast.Div: operator.truediv, ast.FloorDiv: operator.floordiv,
|
||||
ast.Mod: operator.mod, ast.Pow: operator.pow,
|
||||
ast.USub: operator.neg, ast.UAdd: operator.pos}
|
||||
def _ev(n):
|
||||
if isinstance(n, ast.Expression): return _ev(n.body)
|
||||
if isinstance(n, ast.Constant) and isinstance(n.value, (int, float)): return n.value
|
||||
if isinstance(n, ast.UnaryOp) and type(n.op) in _OPS: return _OPS[type(n.op)](_ev(n.operand))
|
||||
if isinstance(n, ast.BinOp) and type(n.op) in _OPS: return _OPS[type(n.op)](_ev(n.left), _ev(n.right))
|
||||
raise ValueError(f"Unsupported: {ast.dump(n)}")
|
||||
return str(_ev(ast.parse(expression, mode="eval")))
|
||||
"""Calculate a math expression."""
|
||||
return str(eval(expression))
|
||||
|
||||
|
||||
# Check if we have an API key
|
||||
@@ -48,7 +37,7 @@ if has_api_key:
|
||||
input_text="Search for the weather in Paris and calculate 25 * 4",
|
||||
expected_tools=["search_web", "calculate"], # Tools that should be called
|
||||
forbidden_tools=["delete_file"], # Tools that should NOT be called
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
# Run evaluation
|
||||
@@ -70,7 +59,7 @@ evaluator = ReliabilityEvaluator(
|
||||
agent=mock_agent,
|
||||
expected_tools=["search_web", "calculate"], # Tools that should be called
|
||||
forbidden_tools=["delete_file"], # Tools that should NOT be called
|
||||
verbose=True
|
||||
output="verbose"
|
||||
)
|
||||
|
||||
result2 = evaluator.evaluate_tool_calls(
|
||||
|
||||
@@ -19,15 +19,7 @@ async function main() {
|
||||
},
|
||||
execute: async ({ expression }) => {
|
||||
try {
|
||||
// Only allow safe numeric math characters
|
||||
if (!/^[0-9+\-*/.() ]+$/.test(expression)) {
|
||||
return 'Error: Only basic math expressions are allowed';
|
||||
}
|
||||
// Use Function constructor scoped to math only, no globals
|
||||
const result = new Function(`"use strict"; return (${expression})`)();
|
||||
if (typeof result !== 'number' || !isFinite(result)) {
|
||||
return 'Error: Invalid result';
|
||||
}
|
||||
const result = eval(expression);
|
||||
return `Result: ${result}`;
|
||||
} catch (e) {
|
||||
return 'Error: Invalid expression';
|
||||
|
||||
@@ -38,13 +38,7 @@ const calculatorTool = createTool({
|
||||
},
|
||||
run: (params: { expression: string }) => {
|
||||
try {
|
||||
// Only allow safe numeric math characters
|
||||
if (!/^[0-9+\-*/.() ]+$/.test(params.expression)) {
|
||||
return 'Error: Only basic math expressions are allowed';
|
||||
}
|
||||
const result = new Function(`"use strict"; return (${params.expression})`)();
|
||||
if (typeof result !== 'number' || !isFinite(result)) return 'Error: Invalid result';
|
||||
return result;
|
||||
return eval(params.expression);
|
||||
} catch {
|
||||
return 'Error: Invalid expression';
|
||||
}
|
||||
|
||||
@@ -184,7 +184,7 @@ Answer questions based ONLY on the provided knowledge context.
|
||||
When asked about codes, provide the EXACT code from the documents.
|
||||
Be concise but accurate.""",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "compression_demo_user"},
|
||||
user_id="compression_demo_user",
|
||||
output="verbose",
|
||||
)
|
||||
|
||||
|
||||
@@ -80,7 +80,7 @@ Be precise and quote exact values when asked about codes or numbers.""",
|
||||
print(f"\nAnswer: {response}\n")
|
||||
|
||||
# Verify the answer contains the unique code
|
||||
if "ZEBRA-71" in str(response or "").upper():
|
||||
if "ZEBRA-71" in response.upper():
|
||||
print("✅ VERIFIED: Agent correctly retrieved the unique code from context!\n")
|
||||
else:
|
||||
print("❌ WARNING: Agent did not find the code - check retrieval\n")
|
||||
@@ -104,7 +104,7 @@ Be precise and quote exact values when asked about codes or numbers.""",
|
||||
response = agent.chat("What is the security incident code?")
|
||||
print(f"\nAnswer: {response}\n")
|
||||
|
||||
if "HAWK-88" in str(response or "").upper():
|
||||
if "HAWK-88" in response.upper():
|
||||
print("✅ VERIFIED: Agent correctly retrieved the security code!\n")
|
||||
else:
|
||||
print("❌ WARNING: Agent did not find the code - check retrieval\n")
|
||||
|
||||
@@ -164,7 +164,7 @@ Answer questions based ONLY on the provided knowledge context.
|
||||
When asked about department codes, provide the EXACT code from the documents.
|
||||
Be specific about which department you're referring to.""",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "hierarchy_demo_user"},
|
||||
user_id="hierarchy_demo_user",
|
||||
output="verbose",
|
||||
)
|
||||
|
||||
|
||||
@@ -124,7 +124,7 @@ def main():
|
||||
# Show strategy selection for different corpus sizes
|
||||
print(f"\nStrategy selection by corpus size:")
|
||||
for size in [100, 1000, 10000, 50000, 100000]:
|
||||
strategy = select_strategy(CorpusStats(file_count=max(1, size // 1000), total_tokens=size))
|
||||
strategy = select_strategy(corpus_tokens=size)
|
||||
print(f" {size:>6} tokens -> {strategy.value}")
|
||||
|
||||
except ImportError as e:
|
||||
@@ -142,7 +142,7 @@ Answer questions based ONLY on the provided knowledge context.
|
||||
When asked about verification codes, provide the EXACT code from the documents.
|
||||
If information is not in the context, say 'Information not found in documents.'""",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "strategy_demo_user"},
|
||||
user_id="strategy_demo_user",
|
||||
output="verbose", # Use new consolidated param
|
||||
)
|
||||
|
||||
|
||||
@@ -65,7 +65,7 @@ def main():
|
||||
name="PolicyExpert",
|
||||
instructions="You are a company policy expert. Answer questions based ONLY on the provided knowledge. Quote exact values when asked about codes or numbers.",
|
||||
knowledge=[temp_dir], # Add directory with documents
|
||||
memory={"user_id": "example_user"},
|
||||
user_id="example_user", # Required for mem0 backend
|
||||
)
|
||||
|
||||
print("\n1. Testing Agent.chat() with context-required question:")
|
||||
|
||||
@@ -50,7 +50,7 @@ def main():
|
||||
name="HR_Assistant_User1",
|
||||
instructions="You are an HR assistant.",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "user_alice"},
|
||||
user_id="user_alice", # Knowledge scoped to Alice
|
||||
)
|
||||
|
||||
response = user1_agent.chat("What is the policy on remote work?")
|
||||
@@ -80,7 +80,7 @@ def main():
|
||||
name="Personal_HR_Bot",
|
||||
instructions="You are a personal HR assistant.",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "user_bob"},
|
||||
user_id="user_bob",
|
||||
agent_id="hr_bot_v2",
|
||||
)
|
||||
|
||||
|
||||
@@ -49,7 +49,7 @@ Only authorized personnel with code WRENCH-992 may access this project.
|
||||
name="AgentA_Ingester",
|
||||
instructions="You ingest and store knowledge.",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "user_alice"},
|
||||
user_id="user_alice", # Scoped to Alice
|
||||
output="silent",
|
||||
)
|
||||
|
||||
@@ -103,7 +103,7 @@ Only authorized personnel with code WRENCH-992 may access this project.
|
||||
name="AgentB_Querier",
|
||||
instructions="Answer questions based on the provided knowledge. If you don't have the information, say so.",
|
||||
knowledge=[temp_dir],
|
||||
memory={"user_id": "user_alice"},
|
||||
user_id="user_alice", # Same scope as Agent A
|
||||
output="silent",
|
||||
)
|
||||
|
||||
|
||||
@@ -1,115 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
ManagedAgent + ClickHouse Persistence — Real conversation with session resume.
|
||||
|
||||
ClickHouse stores analytics/state; SQLite stores conversation history.
|
||||
|
||||
Prerequisites:
|
||||
pip install praisonai praisonaiagents clickhouse-connect
|
||||
export OPENAI_API_KEY="sk-..."
|
||||
# ClickHouse running on localhost:8123
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import tempfile
|
||||
|
||||
import clickhouse_connect
|
||||
|
||||
if not os.getenv("OPENAI_API_KEY"):
|
||||
sys.exit("ERROR: OPENAI_API_KEY not set.")
|
||||
|
||||
from praisonai import ManagedAgent, LocalManagedConfig, DB
|
||||
from praisonaiagents import Agent
|
||||
|
||||
CH_HOST = os.getenv("CH_HOST", "localhost")
|
||||
CH_PORT = int(os.getenv("CH_PORT", "8123"))
|
||||
CH_USER = os.getenv("CH_USER", "clickhouse")
|
||||
CH_PASSWORD = os.getenv("CH_PASSWORD", "clickhouse")
|
||||
SQLITE_PATH = os.path.join(tempfile.gettempdir(), "managed_ch_conv.db")
|
||||
print(f"ManagedAgent + ClickHouse Persistence\nCH: {CH_HOST}:{CH_PORT}\nSQLite: {SQLITE_PATH}\n")
|
||||
|
||||
# Setup ClickHouse table
|
||||
client = clickhouse_connect.get_client(host=CH_HOST, port=CH_PORT, username=CH_USER, password=CH_PASSWORD)
|
||||
TABLE = "managed_agent_sessions"
|
||||
client.command(f"""
|
||||
CREATE TABLE IF NOT EXISTS {TABLE} (
|
||||
session_id String, agent_id String,
|
||||
input_tokens UInt64, output_tokens UInt64,
|
||||
state_json String, created_at DateTime DEFAULT now()
|
||||
) ENGINE = MergeTree() ORDER BY (session_id, created_at)
|
||||
""")
|
||||
|
||||
# ── Phase 1: Create agent, teach facts ──
|
||||
print("=== Phase 1: First Session ===")
|
||||
|
||||
db = DB(database_url=SQLITE_PATH)
|
||||
managed = ManagedAgent(
|
||||
provider="local", db=db,
|
||||
config=LocalManagedConfig(
|
||||
model="gpt-4o-mini", name="ClickHouse Memory Agent",
|
||||
system="You are a helpful assistant. Remember all facts the user tells you.",
|
||||
),
|
||||
)
|
||||
agent = Agent(name="User", backend=managed)
|
||||
|
||||
result1 = agent.run("Remember: My favourite movie is Interstellar by Christopher Nolan, 2014. Confirm.")
|
||||
print(f"Agent: {result1[:200]}...")
|
||||
print(f"Session ID: {managed.session_id}")
|
||||
|
||||
result2 = agent.run("Also remember: The Hans Zimmer soundtrack is my favourite film score. Confirm.")
|
||||
print(f"Agent: {result2[:200]}...")
|
||||
|
||||
# Store to ClickHouse
|
||||
session_id = managed.session_id
|
||||
client.insert(TABLE, [[
|
||||
session_id, managed.agent_id or "",
|
||||
managed.total_input_tokens, managed.total_output_tokens,
|
||||
json.dumps({"environment_id": managed.environment_id}),
|
||||
]], column_names=["session_id", "agent_id", "input_tokens", "output_tokens", "state_json"])
|
||||
|
||||
# ── Phase 2: ClickHouse Verification ──
|
||||
print("\n=== Phase 2: ClickHouse Verification ===")
|
||||
rows = client.query(f"SELECT session_id, agent_id FROM {TABLE} WHERE session_id=%(sid)s LIMIT 1", parameters={"sid": session_id})
|
||||
for row in rows.result_rows:
|
||||
print(f" session_id: {row[0]}, agent_id: {row[1]}")
|
||||
|
||||
# ── Phase 3: Destroy instance ──
|
||||
print("\n=== Phase 3: Instance Goes Idle ===")
|
||||
saved_ids = managed.save_ids()
|
||||
print(f"Saved IDs: {saved_ids}")
|
||||
del agent, managed, db
|
||||
print("Agent destroyed.\n")
|
||||
|
||||
# ── Phase 4: Resume — no config needed ──
|
||||
print("=== Phase 4: Resume Session ===")
|
||||
db2 = DB(database_url=SQLITE_PATH)
|
||||
managed2 = ManagedAgent(provider="local", db=db2)
|
||||
managed2.resume_session(session_id)
|
||||
print(f"Resumed session: {managed2.session_id}")
|
||||
|
||||
agent2 = Agent(name="User", backend=managed2)
|
||||
result3 = agent2.run("What is my favourite movie, director, year, and soundtrack composer?")
|
||||
print(f"Agent: {result3[:300]}...")
|
||||
|
||||
# ── Phase 5: Validate ──
|
||||
print("\n=== Phase 5: Validation ===")
|
||||
r = result3.lower()
|
||||
checks = {
|
||||
"Remembers 'Interstellar'": "interstellar" in r,
|
||||
"Remembers 'Nolan'": "nolan" in r,
|
||||
"Remembers '2014'": "2014" in r,
|
||||
"Remembers 'Zimmer'": "zimmer" in r,
|
||||
"Session ID continuity": managed2.session_id == session_id,
|
||||
}
|
||||
all_passed = True
|
||||
for check, ok in checks.items():
|
||||
print(f" [{'PASS' if ok else 'FAIL'}] {check}")
|
||||
if not ok:
|
||||
all_passed = False
|
||||
|
||||
client.command(f"ALTER TABLE {TABLE} DELETE WHERE session_id = '{session_id}'")
|
||||
client.close()
|
||||
os.unlink(SQLITE_PATH)
|
||||
print(f"\n{'PASS' if all_passed else 'FAIL'}: ClickHouse ManagedAgent persistence test")
|
||||
@@ -1,27 +0,0 @@
|
||||
"""
|
||||
CockroachDB Serverless Persistence Example.
|
||||
|
||||
CockroachDB Serverless provides distributed SQL with scale-to-zero.
|
||||
Auto-handles serialization retries (error 40001) and SSL.
|
||||
|
||||
Setup:
|
||||
1. Create free CockroachDB Serverless cluster at https://cockroachlabs.cloud
|
||||
2. Copy connection string from dashboard
|
||||
3. Set env var: export COCKROACHDB_URL="postgresql://user:[email protected]:26257/mydb?sslmode=verify-full"
|
||||
4. pip install praisonai[cockroachdb]
|
||||
"""
|
||||
|
||||
import os
|
||||
from praisonaiagents import Agent
|
||||
|
||||
agent = Agent(
|
||||
name="CockroachDB Agent",
|
||||
instructions="You are a helpful assistant.",
|
||||
memory={
|
||||
"session_id": "crdb-demo-session",
|
||||
"db": {"database_url": os.getenv("COCKROACHDB_URL")},
|
||||
},
|
||||
)
|
||||
|
||||
result = agent.start("What is distributed SQL? Explain in 2 sentences.")
|
||||
print(result)
|
||||
Loaded 100 of 1900 files, more files were not shown because too many files have changed in this diff.
Show more
Reference in new issue
Block a user