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AI orchestration extension for Pi.dev coding agent","maintainers":[{"name":"jemavidev","email":"jesus@jemavi.co"}],"readme":"# BetterAgents ā€” Pi.dev Extension\n\n**Version:** 0.1.1 \n**Status:** Ready to use\n\nA Pi.dev extension that integrates 8 specialized AI agents into Pi using the 4-D orchestration methodology.\n\nšŸ‘‰ **[Quick Start Guide ā†’](GETTING_STARTED.md)** ā€” Step-by-step installation and usage from zero to AgentX working\n\n## What's Built\n\n```\nbetteragents-pi/\nā”œā”€ā”€ index.ts ā† Pi ExtensionAPI entry point\nā”œā”€ā”€ agents/ ā† 8 agent system prompts\nā”‚ ā”œā”€ā”€ critic.md, architect.md, coder.md, tester.md\nā”‚ ā”œā”€ā”€ security.md, writer.md, hygienizer.md, devops.md\nā”œā”€ā”€ skills/ ā† 8 Pi skill definitions\nā”‚ ā”œā”€ā”€ ba-analyze/, ba-design/, ba-generate/, ba-test/\nā”‚ ā”œā”€ā”€ ba-secure/, ba-document/, ba-clean/, ba-infra/\nā”œā”€ā”€ src/\nā”‚ ā”œā”€ā”€ orchestrator.ts ā† AgentX: 4-D pipeline (Deconstruct ā†’ Diagnose ā†’ Develop ā†’ Dispatch)\nā”‚ ā”œā”€ā”€ provider.ts ā† OpenRouter real API calls\nā”‚ ā”œā”€ā”€ intent-detector.ts ā† Keyword-based intent detection\nā”‚ ā”œā”€ā”€ agent-loader.ts ā† Loads agent .md definitions\nā”‚ ā”œā”€ā”€ approval.ts ā† 5-level approval gate\nā”‚ ā””ā”€ā”€ memory.ts ā† Session cost tracking\nā”œā”€ā”€ config/\nā”‚ ā””ā”€ā”€ betteragents.config.json ā† Model assignments, approval levels, patterns\nā”œā”€ā”€ package.json\nā””ā”€ā”€ tsconfig.json\n```\n\n## How It Works\n\n### 1ļøāƒ£ Installation\n\n```bash\n# From this directory:\nnpm install\nnpm run build\n\n# Add to your project's .pi/config.json:\n{\n \"extensions\": [\"path/to/betteragents-pi\"]\n}\n\n# Set your OpenRouter API key:\nexport OPENROUTER_API_KEY=\"sk-or-v1-...\"\n\n# Open Pi\npi\n```\n\n### 2ļøāƒ£ Using AgentX\n\n**Three ways to interact with AgentX:**\n\n#### šŸ¤– 1. Fully Natural Language (Automatic)\nJust describe what you need and AgentX handles it:\n```\n\"Review this code for bugs\"\nā†’ AgentX detects intent ā†’ routes to Critic ā†’ analyzes ā†’ returns result\n\n\"Write secure authentication flow\"\nā†’ AgentX detects intent ā†’ routes to Coder ā†’ generates code ā†’ returns result\n\n\"Scan this for security vulnerabilities\"\nā†’ AgentX detects intent ā†’ routes to Security ā†’ scans ā†’ returns findings\n```\n\n#### šŸ—£ļø 2. Conversational (Character-Driven)\nAgentX responds as a character, not a robot:\n```\nYou: \"Review this code\"\nAgentX: \"šŸ” I've analyzed your code. Here's what I found:\n ā€¢ Bug in line 42: missing null check\n ā€¢ Performance issue: O(nĀ²) loop\n ā€¢ Improvement: use Map instead of Object\"\n```\n\n#### šŸ’” 3. Explicit Commands (Fallback)\nType `/ba-xxx` for direct invocation:\n```\n/ba-analyze ā†’ Invoke Critic agent directly\n/ba-secure ā†’ Invoke Security agent directly\n/ba-generate ā†’ Invoke Coder agent directly\n/ba-test ā†’ Invoke Tester agent directly\n/ba-document ā†’ Invoke Writer agent directly\n/ba-status ā†’ Show session stats and costs\n```\n\n**Best practice:** Just talk naturally. AgentX listens, detects what you need, and automatically calls the right agent with the right voice and context.\n\n### 3ļøāƒ£ Model Configuration\n\nDefault models (from PRD recommendations):\n\n| Agent | Model | Cost |\n|-------------|--------------------------------------|-----------|\n| Critic | google/gemini-2.0-flash | $0.075/M |\n| Architect | google/gemini-2.0-flash | $0.075/M |\n| Hygienizer | google/gemini-2.0-flash | $0.075/M |\n| Coder | anthropic/claude-3-5-sonnet-20241022| $3.00/M |\n| Writer | anthropic/claude-3-5-sonnet-20241022| $3.00/M |\n| DevOps | anthropic/claude-3-5-sonnet-20241022| $3.00/M |\n| Tester | google/gemini-1.5-flash | $0.075/M |\n| Security | google/gemini-1.5-flash | $0.075/M |\n\n**Estimated cost:** $23.70/month for typical usage (100-200 agent calls/month)\n\nEdit `config/betteragents.config.json` to change models.\n\n### 4ļøāƒ£ Approval Levels\n\n| Level | Agent | Behavior |\n|-------|------------------|-----------------------------|\n| 0 | Critic, Tester | Auto-run (no confirmation) |\n| 1 | Architect, Writer| Quick Pi.ui.confirm() |\n| 2 | Coder | Confirm before running |\n| 3 | Security, DevOps | Require expert review |\n\n## AgentX ā€” The 4-D Orchestrator\n\n**AgentX** is the internal routing and orchestration engine of BetterAgents. It implements the 4-D methodology to automatically detect user intent and route requests to the correct specialized agent.\n\nAgentX operates in **three modes simultaneously**:\n\n1. **Automatic Mode** ā€” Listens to natural language, detects intent, routes to the right agent without you asking\n2. **Conversational Mode** ā€” Responds in the agent's voice with personality and context\n3. **Proactive Mode** ā€” Analyzes what you're working on and suggests help before you ask\n\nYou don't need to think about which agent to use. Just talk to AgentX like you're talking to a smart assistant, and it figures out the rest.\n\n### The 4-D Methodology\n\nEvery request follows this pipeline:\n\n```\nUser Input\n ā†“\n[DECONSTRUCT] Extract keywords, assess complexity\n ā†“\n[DIAGNOSE] Detect intent (analyze/generate/secure/...)\n ā†“\n[DEVELOP] Select agent + load system prompt\n ā†“\n[DISPATCH] Check approval\n Call OpenRouter LLM\n Return result\n Track costs + tokens\n```\n\n## Example Conversations\n\nHere's what working with AgentX feels like:\n\n### Example 1: Automatic + Conversational\n```\nYou: \"Review this authentication logic for security issues\"\n\nAgentX: šŸ”’ I've scanned your code.\n\nSecurity findings:\n āš ļø CRITICAL: JWT token stored in localStorage (XSS vulnerability)\n āš ļø HIGH: No CSRF protection on login endpoint\n āš ļø MEDIUM: Password reset token doesn't expire\n \nRecommendations:\n 1. Move JWT to secure httpOnly cookie\n 2. Add CSRF middleware\n 3. Set 15-min expiration on password reset tokens\n\nCost: $0.0342 | Tokens: 456\n```\n\n### Example 2: Natural Language ā†’ Automatic Routing\n```\nYou: \"Write a React hook for handling form state with validation\"\n\nAgentX: šŸ’» I've generated the code.\n\nHere's a custom React hook:\n\nexport const useForm = (initialValues, onSubmit) => {\n const [values, setValues] = useState(initialValues);\n const [errors, setErrors] = useState({});\n \n const validate = useCallback((data) => {\n const newErrors = {};\n if (!data.email.includes('@')) newErrors.email = 'Invalid email';\n return newErrors;\n }, []);\n \n const handleChange = (e) => {\n const { name, value } = e.target;\n setValues(prev => ({ ...prev, [name]: value }));\n };\n \n const handleSubmit = (e) => {\n e.preventDefault();\n const newErrors = validate(values);\n if (Object.keys(newErrors).length === 0) {\n onSubmit(values);\n } else {\n setErrors(newErrors);\n }\n };\n \n return { values, errors, handleChange, handleSubmit };\n};\n\nCost: $0.0521 | Tokens: 1,234\n```\n\n### Example 3: Explicit Command\n```\nYou: /ba-document\n\nAgentX: šŸ“ AgentX Writer ready\n\nShare the code to document:\n ā€¢ Generate JSDoc comments\n ā€¢ Write API documentation\n ā€¢ Create README sections\n ā€¢ Explain complex logic\n\nYou: [paste function]\n\nAgentX: šŸ“ I've written documentation.\n\n/**\n * Validates email format using RFC 5322 standard\n * @param {string} email - Email address to validate\n * @returns {boolean} True if valid, false otherwise\n * @example\n * validateEmail('user@example.com') // true\n * validateEmail('invalid.email') // false\n */\nexport const validateEmail = (email) => {\n // Implementation...\n};\n\nCost: $0.0234 | Tokens: 789\n```\n\n## What Each Agent Does\n\n### Critic\nAnalyzes code for bugs, quality, security, performance. Scores 0-10.\n\n### Architect\nReviews system design, patterns, layering, scalability.\n\n### Coder\nGenerates production-ready code, refactors, implements features.\n\n### Tester\nGenerates unit tests, integration tests, analyzes coverage.\n\n### Security\nScans for OWASP vulnerabilities, CVEs, secret leaks.\n\n### Writer\nGenerates JSDoc, README sections, documentation.\n\n### Hygienizer\nDetects dead code, enforces naming conventions, cleans up repos.\n\n### DevOps\nGenerates Dockerfiles, K8s manifests, CI/CD pipelines, Terraform.\n\n## Session Tracking\n\nType `/ba-status` to see:\n- Total agent runs this session\n- Total tokens used\n- Total cost ($)\n- Cost breakdown by agent\n\nExample output:\n```\nšŸ“Š BetterAgents Session Stats\nā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”ā”\nSession ID: abc123\nDuration: 45s\nAgent Runs: 3\nTotal Tokens: 1,234\nTotal Cost: $0.0342\n\nšŸ” Agent Runs:\n ā€¢ Critic: 234 tokens, $0.0081\n ā€¢ Coder: 567 tokens, $0.0172\n ā€¢ Tester: 433 tokens, $0.0089\n```\n\n## Cost Estimator (When Ready)\n\nOnce you have a **complete project design**, you can calculate costs:\n\n```\nProject: \"Build microservice platform\"\nā”œā”€ Estimated PRs/month: 200\nā”œā”€ Code reviews: 150 (Critic agent)\nā”œā”€ New features: 30 (Coder agent)\nā”œā”€ Security audits: 20 (Security agent)\n\nExpected costs:\n- CONSERVATIVE (Gemini models): $85/month\n- NORMAL (Mixed models): $240/month\n- HIGH-END (Claude models): $520/month\n```\n\nTo get this estimate, bring your design + ask: \"What will this cost?\"\n\n## File Structure\n\n- **agents/** ā€” Agent system prompts (loaded dynamically)\n- **skills/** ā€” Pi skill metadata (auto-loaded by Pi)\n- **src/** ā€” Core TypeScript modules\n- **config/** ā€” Central configuration (models, approval levels, intents)\n- **index.ts** ā€” Pi ExtensionAPI entry point (everything registers here)\n\n## Environment Variables\n\n```bash\nOPENROUTER_API_KEY=sk-or-v1-... # Required\n```\n\n## Troubleshooting\n\n**\"OPENROUTER_API_KEY not set\"**\nā†’ `export OPENROUTER_API_KEY=\"sk-or-v1-...\"`\n\n**\"Failed to load agent\"**\nā†’ Make sure `agents/` directory exists with .md files\n\n**\"Api call failed\"**\nā†’ Check OpenRouter API key is valid: `curl -H \"Authorization: Bearer $OPENROUTER_API_KEY\" https://openrouter.io/api/v1/models`\n\n## Getting Started\n\n**šŸ‘‰ [Read the complete step-by-step guide here ā†’](GETTING_STARTED.md)**\n\nThe guide covers:\n1. Installing Pi.dev\n2. Setting up the BetterAgents extension\n3. Getting an OpenRouter API key\n4. Configuring Pi\n5. Using AgentX naturally\n6. Real-world examples\n7. Troubleshooting\n\n**Quick Summary:**\n```bash\n# 1. Install Pi globally\nnpm install -g @earendil-works/pi-coding-agent\n\n# 2. Install BetterAgents\nnpm install path/to/betteragents-pi\n\n# 3. Create .pi/config.json\nmkdir -p .pi\necho '{\"extensions\": [\"path/to/betteragents-pi\"]}' > .pi/config.json\n\n# 4. Set API key\nexport OPENROUTER_API_KEY=\"sk-or-v1-...\"\n\n# 5. Start Pi\npi\n\n# 6. Talk to AgentX!\npi> Review this code for bugs\npi> Write a function to validate emails\npi> Scan this for security issues\npi> Generate tests for this component\n```\n\n---\n\n**Built as a Pi.dev extension.** No separate server. Everything runs inside Pi using OpenRouter for LLM calls.\n","readmeFilename":"README.md"}