iara-reviewer 1.7.1

AI-powered code reviewer using OpenRouter LLMs

Iara - AI Code Reviewer 🧜‍♀️

🇧🇷 Leia em Português

Iara is an automated, project-agnostic, configurable code review tool designed to run in CI/CD pipelines or locally via CLI. It connects directly to the LLM provider of your choice — OpenRouter (free models), OpenAI, Google Gemini, or Anthropic Claude.

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🚀 Features

• Agnostic: Configure your project context (Tech Stack, Rules) via JSON.
• Multi-Provider: Connect directly to OpenRouter, OpenAI, Google Gemini, or Anthropic Claude.
• Smart Fallback: Automatically tries free models if the preferred one fails (OpenRouter only).
• Rules-Based (Static): Identifies dangerous patterns instantly without spending tokens (e.g., GetComponent in loops in Unity).
• LLM-Based (Intelligent): Uses AI to understand logic, security, and context, going beyond syntax.
• GitHub + GitLab: Native integration with both platforms, with automatic comments on PRs/MRs.
• Multi-Language Reviews: Configure the output language — reviews can be written in English, Portuguese, Spanish, French, and more.

🧠 Capabilities

Iara combines different types of analysis for a complete review:

Type	What does it do?	Does Iara cover it?	How?
Static Analysis	Finds bugs by reading code (fast).	✅ Yes	Via Extensions (Regex) and LLM.
Linting	Fixes style and formatting.	✅ Yes	LLM can suggest Clean Code.
SAST	Finds security flaws in code.	✅ Yes	Primary focus on vulnerability detection.
Dynamic Analysis	Finds bugs by running the app (slow).	❌ No	Focus on fast CI/CD (Code Review).

What does it detect?

1. Unity / Game Dev:

   • Use of slow APIs (Find, GetComponent) in critical loops (Update).
   • Excessive memory allocation (Garbage Collection).
   • Excess logging (Debug.Log) in final builds.

2. Security (General):

   • Hardcoded credentials (Passwords, API Keys).
   • Injection vulnerabilities (SQL, Command).
   • Missing input validation.

3. Code Quality:

   • Complex or confusing logic.
   • Exception handling errors.
   • Refactoring suggestions for readability.

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📦 Installation and Setup

1. Install

pip install iara-reviewer

2. Configure (Interactive Setup)

iara init

The wizard guides you through 5 steps:

1. Language — Choose the review output language (en, pt-br, es, fr, etc.)
2. Provider — Choose your LLM provider: openrouter (default, free), openai, gemini, or anthropic
3. API Key — Enter the key for the chosen provider (validated and saved to ~/.iara/config.json)
4. Project — Name, tech stack, description
5. Preferences — Focus areas (Security, Performance, etc.)

Done! Project config is saved at .iara.json.

3. Use

git diff main | iara

Check authentication

iara auth status

Manual setup (without wizard)

Set the provider and its key via environment variables:

# OpenRouter (default — free models available)
export OPENROUTER_API_KEY="sk-or-..."

# OpenAI
export IARA_PROVIDER="openai"
export OPENAI_API_KEY="sk-..."

# Google Gemini
export IARA_PROVIDER="gemini"
export GEMINI_API_KEY="AIza..."

# Anthropic Claude
export IARA_PROVIDER="anthropic"
export ANTHROPIC_API_KEY="sk-ant-..."

API key resolution priority: environment variable > global config (~/.iara/config.json).

From source (Development)

git clone https://github.com/felipefernandes/iara.git
cd iara
pip install -e .

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⚙️ Project Configuration

iara init automatically creates .iara.json. You can also create it manually:

{
  "project": {
    "name": "My Project",
    "description": "Project description.",
    "tech_stack": ["Python"]
  },
  "review": {
    "focus_areas": ["Performance", "Security"],
    "ignore_patterns": ["fixtures", "migrations", "generated"],
    "max_index_file_size": 10485760
  },
  "model": {
    "preferred": "google/gemini-2.0-flash-exp:free",
    "fallback_enabled": true,
    "provider": "openrouter"
  },
  "language": "en"
}

ignore_patterns and max_index_file_size

You can configure the Iara Indexer's footprint to respect maximum file limits and skip specific artifacts from the RAG context memory.

max_index_file_size: Sets the byte threshold for a single file to be read (e.g. 10485760 for 10MB overrides the default 1MB restriction). ignore_patterns: Skips specific files or directories from being read (e.g., fixture folders or auto-generated payload files, which add zero value to code reviews).

Important Notes on ignore_patterns behavior:

• 🛠️ Merged with Defaults: Your defined patterns are added to a default list (which already includes .git, node_modules, venv, __pycache__, etc.). You do not need to rewrite these.
• ⚡ Wildcards & Prefix Mathing: Iara uses Python's fnmatch, which means patterns like test match exact files or folders named test. To act as prefixes or match extensions, use wildcards (e.g., test* to match test_dir, or *_generated.* to match files ending with that).
• ⚠️ Be Specific: Broad patterns can inadvertently blind the Indexer. Using * or *.py as an ignore pattern will result in Iara ignoring your actual source code. It's safer to scope correctly (e.g., tests/fixtures/* or logs/*.log).

Supported providers and example models

Provider	provider value	Example models
OpenRouter (default)	openrouter	google/gemini-2.0-flash-exp:free, meta-llama/llama-3.2-3b-instruct:free
OpenAI	openai	gpt-4o, gpt-4.5-preview, o1
Google Gemini	gemini	gemini-2.5-flash, gemini-2.5-pro
Anthropic Claude	anthropic	claude-opus-4-5-20250929, claude-sonnet-4-5-20250929

Note: Smart fallback to free models is only available for OpenRouter. When using openai, gemini, or anthropic, set "fallback_enabled": false.

The language field controls the review output language. Supported values: en, pt-br, es, fr, de, ja, zh, ko, ru, or any language the LLM understands.

You can also override provider, model, and language via environment variables:

export IARA_PROVIDER="anthropic"
export IARA_MODEL="claude-sonnet-4-5-20250929"
export IARA_LANGUAGE="pt-br"

A ready-to-use example is available at iara-example.json.

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🧠 Memory (RAG) [New]

Iara now supports a local Retrieval-Augmented Generation (RAG) system to provide context-aware reviews.

1. Install Dependencies

pip install iara-reviewer[rag]
# or
pip install lancedb sentence-transformers torch numpy

2. Index Your Codebase

Run this command in your project root to create the local vector index:

iara memory index

This will parse your code (extracting functions, classes, and calls) and store it in .iara/data/lancedb.

Smart Chunking — Supported Languages

Iara uses language-aware chunking to ensure that code blocks fed into the LLM represent complete logical units (functions, classes, methods) instead of arbitrary 100-line blocks:

Extension(s)	Strategy	What it extracts
.py	Python AST	Functions, async functions, classes
.js, .ts	Regex + brace balancing	Functions, async functions, classes, arrow functions
.cs	Regex + brace balancing	Classes, structs, interfaces, enums, methods
All others	Plain-text fallback	Blocks of up to 100 lines

Why does this matter? Chunks that cut a function in half generate noisy context for the LLM. Smart chunking keeps logical units intact, improving review accuracy and reducing token waste.

3. Review with Context

Just run the review command as usual. Iara will automatically use the memory to retrieve relevant context for the changed code.

git diff main | iara

4. Manage Memory

To clear the index:

iara memory clear

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🏃 How to Use

Via Pipe (Git Diff)

git diff main | iara

Via Environment Variable

export PR_DIFF=$(git diff main)
iara

Scan Mode (Static Analysis)

iara --scan ./path/to/project

Forcing a Provider and Model

# Anthropic Claude
export IARA_PROVIDER="anthropic"
export ANTHROPIC_API_KEY="sk-ant-..."
export IARA_MODEL="claude-sonnet-4-5-20250929"
git diff | iara

# OpenAI GPT-4o
export IARA_PROVIDER="openai"
export OPENAI_API_KEY="sk-..."
export IARA_MODEL="gpt-4o"
git diff | iara

# Google Gemini
export IARA_PROVIDER="gemini"
export GEMINI_API_KEY="AIza..."
export IARA_MODEL="gemini-2.5-flash"
git diff | iara

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🐙 GitHub Integration

Iara is available on the GitHub Marketplace — you can add it to your repository with just a few clicks. No Docker required! Iara runs as a lightweight Composite Action directly on the runner, with automatic pip caching for fast execution.

Add Iara to your GitHub repository in 2 steps:

1. Configure the secret

Go to Settings > Secrets and variables > Actions > New repository secret and add the key for your chosen provider:

Provider	Secret name
OpenRouter	OPENROUTER_API_KEY
OpenAI	OPENAI_API_KEY
Google Gemini	GEMINI_API_KEY
Anthropic	ANTHROPIC_API_KEY

2. Create the workflow

Create the file .github/workflows/iara-review.yml.

With OpenRouter (default, free models):

name: Iara Code Review

on:
  pull_request:
    types: [opened, synchronize]

permissions:
  pull-requests: write
  contents: read

jobs:
  review:
    runs-on: ubuntu-latest
    name: AI Code Review
    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Run Iara Code Review
        uses: felipefernandes/iara@main
        with:
          openrouter_api_key: ${{ secrets.OPENROUTER_API_KEY }}
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

With Anthropic Claude:

      - name: Run Iara Code Review
        uses: felipefernandes/iara@main
        with:
          provider: anthropic
          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
          model: "claude-sonnet-4-5-20250929"
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

With OpenAI:

      - name: Run Iara Code Review
        uses: felipefernandes/iara@main
        with:
          provider: openai
          openai_api_key: ${{ secrets.OPENAI_API_KEY }}
          model: "gpt-4o"
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

With Google Gemini:

      - name: Run Iara Code Review
        uses: felipefernandes/iara@main
        with:
          provider: gemini
          gemini_api_key: ${{ secrets.GEMINI_API_KEY }}
          model: "gemini-2.5-flash"
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Iara will automatically:

• Review the Pull Request diff
• Post a comment with the review result

All available inputs

- uses: felipefernandes/iara@main
  with:
    provider: "openrouter"                         # openrouter (default), openai, gemini, anthropic
    openrouter_api_key: ${{ secrets.OPENROUTER_API_KEY }}  # when provider=openrouter
    openai_api_key: ${{ secrets.OPENAI_API_KEY }}          # when provider=openai
    gemini_api_key: ${{ secrets.GEMINI_API_KEY }}          # when provider=gemini
    anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}    # when provider=anthropic
    model: "google/gemini-2.0-flash-exp:free"     # override model
    config_path: ".iara.json"                     # config path (default: .iara.json)
    post_comment: "true"                           # post comment on PR (default: true)
    language: "en"                                 # review language
    index_codebase: "true"                         # enable RAG memory (default: false)

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🦊 GitLab Integration

1. Configure variables

Go to Settings > CI/CD > Variables and add:

• The key for your provider (e.g., OPENROUTER_API_KEY, ANTHROPIC_API_KEY, etc.)
• IARA_PROVIDER: the provider name (e.g., anthropic) — omit for OpenRouter default
• GITLAB_TOKEN: Personal/Project Access Token with api scope (required for MR comments)

2. Add to .gitlab-ci.yml

stages:
  - review

iara_code_review:
  stage: review
  image: python:3.11-slim
  script:
    - apt-get update && apt-get install -y --no-install-recommends git curl
    - pip install iara-reviewer
    - git fetch origin $CI_MERGE_REQUEST_TARGET_BRANCH_NAME
    - export PR_DIFF=$(git diff origin/$CI_MERGE_REQUEST_TARGET_BRANCH_NAME...$CI_COMMIT_SHA)
    - REVIEW=$(iara 2>/tmp/iara_stderr.txt) || true
    - echo "$REVIEW"
    - |
      if [ -n "$REVIEW" ] && [ -n "$GITLAB_TOKEN" ]; then
        PAYLOAD=$(python3 -c "
      import sys, json
      review = '''$REVIEW'''
      body = '## 🧜‍♀️ Iara Code Review\n\n' + review + '\n\n---\n*Reviewed by Iara - AI Code Reviewer*'
      print(json.dumps({'body': body}))
      ")
        curl -s -X POST \
          -H "PRIVATE-TOKEN: $GITLAB_TOKEN" \
          -H "Content-Type: application/json" \
          -d "$PAYLOAD" \
          "${CI_API_V4_URL}/projects/${CI_PROJECT_ID}/merge_requests/${CI_MERGE_REQUEST_IID}/notes"
      fi
  allow_failure: true
  rules:
    - if: $CI_PIPELINE_SOURCE == "merge_request_event"

Iara will automatically:

• Review the Merge Request diff
• Post a comment with the review result on the MR

A complete template is available at gitlab-ci.yml.

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🔧 Any CI (Jenkins, CircleCI, etc.)

pip install iara-reviewer

# OpenRouter (default)
export OPENROUTER_API_KEY="sk-or-..."
git diff main...HEAD | iara

# Anthropic Claude
export IARA_PROVIDER="anthropic"
export ANTHROPIC_API_KEY="sk-ant-..."
export IARA_MODEL="claude-sonnet-4-5-20250929"
git diff main...HEAD | iara

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🧪 Tests

python -m unittest discover tests

📜 License

MIT