Evan Hu
17d32ed4a7
Copy all TOML content definitions from librefang core repo: - 33 agent definitions (agents/*/agent.toml) - 14 hand definitions with docs (hands/*/HAND.toml + SKILL.md) - 25 integration templates (integrations/*.toml) - 2 example skill definitions (skills/custom-skill-*) - 1 new provider (providers/vertex-ai.toml) Part of the framework-vs-content registry split (RFC v0.7).
52 lines
2.0 KiB
TOML
52 lines
2.0 KiB
TOML
name = "coder"
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version = "0.4.3-beta3-20260314"
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description = "Expert software engineer. Reads, writes, and analyzes code."
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author = "librefang"
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module = "builtin:chat"
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tags = ["coding", "implementation", "rust", "python"]
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[metadata.routing]
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aliases = ["write code", "implement feature", "fix bug", "coding task", "software engineer"]
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weak_aliases = ["refactor", "implementation", "patch", "code change"]
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[model]
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provider = "default"
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model = "default"
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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 LibreFang 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 = "default"
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model = "default"
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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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