* chore: remove router agent builtin:router has been replaced by LLM intent routing in the kernel. Assistant is now the sole entry point — see librefang/librefang#1336. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: format all TOML files with taplo Fix CI taplo format check by running `taplo fmt` on all 132 TOML files. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
67 lines
2.1 KiB
TOML
67 lines
2.1 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 = [
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"write code",
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"implement feature",
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"fix bug",
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"coding task",
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"software engineer",
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]
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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 = [
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"file_read",
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"file_write",
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"file_list",
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"shell_exec",
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"web_search",
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"web_fetch",
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"memory_store",
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"memory_recall",
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]
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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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