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Queryable concept map of a codebase for LLM coding agents

Project description

combfind

Give an AI agent a codebase. combfind tells it where to look.

combfind builds a local index of a repository so an agent can find the right files and functions for a task with a plain-text query, without reading the entire codebase.

Install

For local LLM inference:

pip3 install "combfind[llm]" \
  --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu

Download a model (one-time, ~2 GB):

combfind download-model

For a remote OpenAI-compatible API instead:

pip3 install "combfind[openai]"

Usage

# Index a repository (local LLM, auto-detected model)
combfind init /path/to/repo --db repo.db

# Index using a remote OpenAI-compatible API
COMBFIND_LLM_API_KEY=sk-... COMBFIND_LLM_MODEL=gpt-4o-mini \
  combfind init /path/to/repo --db repo.db --llm-mode openai

# Query it
combfind query "how does authentication work" --db repo.db
combfind query "where are database migrations" --db repo.db --format json

Query output (JSON)

[
  {
    "rank": 1,
    "concept": "Token Refresh",
    "role": "implementation",
    "score": 0.87,
    "files": [{"path": "auth/service.py", "start_line": 42, "end_line": 91}],
    "symbols": ["AuthService.refresh", "AuthService.validate"],
    "why_relevant": "Handles session token validation and refresh logic.",
    "sibling_implementations": []
  }
]

Init options

Flag Default Description
--db <repo_path>/.combfind.db Output path
--llm-model auto-detected Path to a GGUF model file (local mode only)
--llm-mode local LLM backend: local (llama.cpp) or openai (OpenAI-compatible API)
--exclude-paths - Paths to skip relative to repo root (repeatable)
--exclude-regex - Regex matched against file paths to skip

Query options

Flag Default Description
--db .combfind.db Database to query
--top-k 5 Number of results to return
--format text Output format: text or json

Environment variables

Variable Default Description
COMBFIND_LOG_LEVEL info Log verbosity: debug, info, warning, error
COMBFIND_LLM_BASE_URL - Base URL for OpenAI-compatible API (e.g. https://api.openai.com/v1)
COMBFIND_LLM_API_KEY - API key for the remote LLM
COMBFIND_LLM_MODEL gpt-4o-mini Model name to use with --llm-mode openai

Using a remote LLM API

Pass --llm-mode openai to use any OpenAI-compatible API instead of a local model. Configure it with environment variables:

export COMBFIND_LLM_BASE_URL=https://api.openai.com/v1
export COMBFIND_LLM_API_KEY=sk-...
export COMBFIND_LLM_MODEL=gpt-4o-mini

combfind init /path/to/repo --db repo.db --llm-mode openai

Any API that speaks the OpenAI chat completions format works, including:

  • OpenAI — set COMBFIND_LLM_BASE_URL=https://api.openai.com/v1
  • Ollama — set COMBFIND_LLM_BASE_URL=http://localhost:11434/v1 and COMBFIND_LLM_API_KEY=ollama
  • LM Studio — set COMBFIND_LLM_BASE_URL=http://localhost:1234/v1
  • Any other OpenAI-compatible server — point COMBFIND_LLM_BASE_URL at its /v1 endpoint

--llm-model is ignored in openai mode; the model is selected via COMBFIND_LLM_MODEL.

Supported languages

Python, Go. More languages can be added via tree-sitter grammars.

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