Skip to main content

A local multi-agent code reviewer

Project description

Ollama Reviewer PIP LINK HERE

A local multi-agent code review tool that uses Ollama-hosted LLMs to analyze git diffs and produce structured PR reviews.

How It Works

The tool runs several specialised review agents against your staged/unstaged code changes (git diff HEAD):

  1. Code Smells & Metrics — analyses code quality, complexity, and anti-patterns
  2. Readability Review — evaluates naming, documentation, and overall clarity
  3. Security Review — checks for common vulnerabilities and insecure patterns
  4. Synthesizer — stitches the individual agent reports into a single markdown PR comment

Each agent returns a JSON score out of 100. If any agent detects a fatal block (security flaw or architecture issue), the commit is blocked with exit code 1. But users can commit whether or not they care about the pr check. After all agents is ran an md file consisting of the reviews will be available in whatever directory the command was ran.

Requirements

  • Ollama running locally with at least one model pulled
  • Python 3.10+

Setup

# Install the package
pip install -e . # for any local installs from git

# Pull a supported model or check available models at end of page (default: gemma3:12b)
ollama pull gemma3:12b

Usage

Run from the root of any git repository you want to review:

ollama-review -m AVAILABLE_MODEL -p MODEL_PARAMS

Specify a different model:

ollama-review -m "qwen3:4b"

Model parameters (temperature, top_p) are configured in providers.yml.

Output

  • Prints each agent's score as it runs
  • Writes a final synthesised markdown review to markdown_output.md to the directory in which the review command was executed
  • Exits with code 0 on approval, code 1 if a fatal issue is found

Available models in providers.yml, feel free to add your own by looking through the package

  • "qwen3:1.7b": { "temperature": 0.0, "top_p": 0.9 },
  • "gemma3:1b": { "temperature": 0.0, "top_p": 0.9 },
  • "qwen3:4b": { "temperature": 0.1, "top_p": 0.4 },
  • "gemma3:4b": { "temperature": 0.1, "top_p": 0.9 },
  • "gemma3:12b": { "temperature": 0.1, "top_p": 0.9 },
  • "mistral:7b": { "temperature": 0.1, "top_p": 0.9 }

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ollama_local_reviewer-1.0.6.tar.gz (11.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ollama_local_reviewer-1.0.6-py3-none-any.whl (14.3 kB view details)

Uploaded Python 3

File details

Details for the file ollama_local_reviewer-1.0.6.tar.gz.

File metadata

  • Download URL: ollama_local_reviewer-1.0.6.tar.gz
  • Upload date:
  • Size: 11.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for ollama_local_reviewer-1.0.6.tar.gz
Algorithm Hash digest
SHA256 52b304a9a2983944c3db598971430004fd36ea528bee23173fbb3e980e04e9a2
MD5 cfce969087890707a11b4f668d1b8395
BLAKE2b-256 5b9d9559b024a18682495bb39293e19c228afa718a5db371ffea49541ca12b17

See more details on using hashes here.

File details

Details for the file ollama_local_reviewer-1.0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for ollama_local_reviewer-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 c95160cd1dea681a3d391b0f3a2fbbc2ab310f14a11758635cc0c87e3bcf885e
MD5 0281b4b3cd244916af107a49611f0d82
BLAKE2b-256 a863ca238237686e6b0182196037c56643382ecd514ce9dfd0f83e45a9f9b2f7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page