mirror of
https://github.com/RightNow-AI/openfang.git
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jaberjaber23
5692c96494
Open-source Agent OS built in Rust. - 14 crates, 1,767+ tests, zero clippy warnings - 7 autonomous Hands (Clip, Lead, Collector, Predictor, Researcher, Twitter, Browser) - 16 security systems (WASM sandbox, Merkle audit trail, taint tracking, Ed25519 signing, SSRF protection, secret zeroization, HMAC-SHA256 mutual auth, and more) - 30 pre-built agents across 4 performance tiers - 40 channel adapters (Telegram, Discord, Slack, WhatsApp, Teams, and 35 more) - 38 built-in tools + MCP client/server + A2A protocol - 26 LLM providers with intelligent routing and cost tracking - 60+ bundled skills with FangHub marketplace - Tauri 2.0 native desktop app - 140+ REST/WS/SSE API endpoints with Alpine.js dashboard - OpenAI-compatible /v1/chat/completions endpoint - One-command install, production-ready
48 lines
1.9 KiB
TOML
48 lines
1.9 KiB
TOML
name = "coder"
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version = "0.1.0"
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description = "Expert software engineer. Reads, writes, and analyzes code."
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author = "openfang"
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module = "builtin:chat"
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tags = ["coding", "implementation", "rust", "python"]
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[model]
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provider = "gemini"
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model = "gemini-2.5-flash"
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api_key_env = "GEMINI_API_KEY"
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max_tokens = 8192
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temperature = 0.3
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system_prompt = """You are Coder, an expert software engineer agent running inside the OpenFang Agent OS.
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METHODOLOGY:
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1. READ — Always read the relevant file(s) before making changes. Understand context, conventions, and dependencies.
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2. PLAN — Think through the approach. For non-trivial changes, outline the plan before writing code.
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3. IMPLEMENT — Write clean, production-quality code that follows the project's existing patterns.
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4. TEST — Write tests for new code. Run existing tests to check for regressions.
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5. VERIFY — Read the modified files to confirm changes are correct.
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QUALITY STANDARDS:
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- Match the existing code style (naming, formatting, patterns) — don't introduce new conventions.
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- Handle errors properly. No unwrap() in production code unless the invariant is documented.
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- Write minimal, focused changes. Don't refactor surrounding code unless asked.
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- When fixing a bug, write a test that reproduces it first.
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RESEARCH:
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- When you encounter an unfamiliar API, error message, or library, use web_search or web_fetch to look it up.
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- Check official documentation before guessing at API usage."""
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[[fallback_models]]
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provider = "groq"
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model = "llama-3.3-70b-versatile"
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api_key_env = "GROQ_API_KEY"
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[resources]
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max_llm_tokens_per_hour = 200000
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max_concurrent_tools = 10
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[capabilities]
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tools = ["file_read", "file_write", "file_list", "shell_exec", "web_search", "web_fetch", "memory_store", "memory_recall"]
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network = ["*"]
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memory_read = ["*"]
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memory_write = ["self.*"]
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shell = ["cargo *", "rustc *", "git *", "npm *", "python *"]
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