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@dharmiklathiya/codesentinel_ai

v0.1.6

Published

AI-powered code review, fix, audit, scoring, and test generation engine with multi-provider model support.

Readme

CodeSentinel AI

AI-powered code quality orchestrator. It reviews pull requests, proposes/auto-applies fixes, audits entire repositories, scores code quality (0–100), generates missing unit tests, and answers contextual questions — all through a single, configurable engine.

Built with clean, modular TypeScript. Supports multiple AI providers and is designed to run as a CLI, a reusable GitHub Action, or a Probot GitHub App.


✨ Features

| Mode | What it does | |------------|--------------| | review | Analyze a PR diff, detect bugs/smells/bad practices, add inline comments, summarize. | | fix | Attempt automatic fixes in a loop, run lint/tests after each iteration. | | audit | Scan the whole repo for security / performance / architecture issues; optionally open issues. | | score | Output a 0–100 quality score with a breakdown (readability, maintainability, security, coverage). | | testgen | Detect functions without tests and generate Jest/Vitest unit tests. | | chat | Answer /ask <question> using the codebase as context. |

AI providers

OpenAI, Anthropic, Gemini, and OpenCode — each capability (review, fix, audit, score, testgen, chat) can use a different model via config.

Bonus

  • 🗄️ On-disk response caching for repeated analyses.
  • 🔌 Plugin system for custom findings / scoring hooks.
  • 🖥️ CLI interface for local use.

📦 Installation

npm install
npm run build

Optional provider SDKs are installed automatically, but you only need the one(s) you use.


📚 Use as a Library

Install in your project:

npm install codesentinel-ai

Quick start

import { Engine } from "codesentinel-ai";

const engine = Engine.fromInputs({
  configPath: "./codesentinel.config.json",
  secrets: {
    opencode_api_key: process.env.OPENCODE_API_KEY,
    opencode_base_url: process.env.OPENCODE_BASE_URL, // optional
  },
  root: "/path/to/your/project",
});

// Run any mode
const report = await engine.run();
console.log(report.score?.overall); // 0-100
console.log(report.findings);       // Finding[]

Chat mode

const answer = await engine.ask("How does authentication work?");
console.log(answer);

Switch provider in code

import { Engine, mergeConfig, DEFAULT_CONFIG } from "codesentinel-ai";

const config = mergeConfig(DEFAULT_CONFIG, {
  default_model: { provider: "openai", model: "gpt-4o" },
  models: {
    review: { provider: "anthropic", model: "claude-3-5-sonnet" },
  },
});

const engine = new Engine(config, { openai_api_key: "..." });
const report = await engine.run();

Custom plugin

import type { CodeSentinelPlugin, Finding } from "codesentinel-ai";

const myPlugin: CodeSentinelPlugin = {
  name: "no-console-log",
  analyze(files) {
    const findings: Finding[] = [];
    for (const f of files) {
      if (f.content.includes("console.log")) {
        findings.push({
          severity: "low",
          category: "smell",
          file: f.path,
          line: null,
          comment: "Avoid console.log in production",
          source: "static",
        });
      }
    }
    return findings;
  },
};

Available exports

// Core
import { Engine } from "codesentinel-ai";
import { loadConfig, configFromInputs, DEFAULT_CONFIG, mergeConfig } from "codesentinel-ai";

// AI
import { AIHub, extractJson } from "codesentinel-ai";

// Types
import type {
  CodeSentinelConfig, EngineReport, Finding, ScoreBreakdown,
  ModelConfig, Provider, Mode, RuntimeSecrets, CodeSentinelPlugin,
} from "codesentinel-ai";

⚙️ Configuration

Create codesentinel.config.json (see config/codesentinel.config.json):

{
  "mode": "review",
  "max_iterations": 5,
  "enable_auto_fix": false,
  "enable_scoring": true,
  "enable_test_generation": false,
  "include_positive_feedback": true,
  "project_context": "TypeScript monorepo. Keep functions pure.",
  "default_model": { "provider": "opencode", "model": "opencode/default" },
  "models": {
    "review": { "provider": "opencode", "model": "opencode/default" },
    "fix":    { "provider": "opencode", "model": "opencode/default" }
  },
  "test_runner": "vitest",
  "include": ["**/*.{ts,tsx,js,jsx}"],
  "exclude": ["node_modules/**", "dist/**", "**/*.test.*"],
  "output": { "postGithubComments": true, "createGithubIssues": false, "writeReportFile": true, "reportDir": "codesentinel-reports" },
  "enable_cache": true,
  "cache_dir": ".codesentinel-cache",
  "plugins": []
}

Config is resolved by layering: defaults → config file → overrides (CLI flags / Action inputs).

Switching providers

OpenCode is the default provider for all tasks. To switch:

CLI — use --provider to override all tasks at once:

codesentinel review --provider openai
codesentinel fix --provider anthropic

Config file — set default_model or override per-task:

{
  "default_model": { "provider": "anthropic", "model": "claude-3-5-sonnet" },
  "models": {
    "review": { "provider": "anthropic", "model": "claude-3-5-sonnet" },
    "fix":    { "provider": "openai", "model": "gpt-4o" }
  }
}

Environment variables:

export OPENCODE_API_KEY=...    # for opencode (default)
export OPENAI_API_KEY=...      # for openai
export ANTHROPIC_API_KEY=...   # for anthropic
export GEMINI_API_KEY=...      # for gemini

🖥️ CLI usage

# Review using default opencode provider
node dist/index.js --mode review --config ./codesentinel.config.json

# Score the whole repo using OpenAI
node dist/index.js --mode score --provider openai

# Switch all tasks to Anthropic
node dist/index.js fix --auto-fix --provider anthropic

# Ask a question (chat mode)
node dist/index.js chat --ask "How does authentication work?" --context "Node service"

# Generate tests
node dist/index.js --mode testgen --test-gen

Environment variables (API keys): OPENAI_API_KEY, ANTHROPIC_API_KEY, GEMINI_API_KEY, OPENCODE_API_KEY, OPENCODE_BASE_URL, GITHUB_TOKEN.


🤖 GitHub Action

Use in other projects via PR comments

One command setup — run in your project root:

npx @dharmiklathiya/codesentinel_ai@latest setup
# or
bash <(curl -s https://raw.githubusercontent.com/your-org/codesentinel-ai/main/scripts/setup.sh)

This creates .github/workflows/codesentinel.yml automatically.

Then comment on any PR:

/review   → AI code review
/fix      → propose fixes
/audit    → full repo audit
/score    → quality score (0-100)
/testgen  → generate missing tests

No API keys needed — OpenCode is free and runs locally.

Option 2: Use as a reusable Action

See action.yml and the example workflow in .github/workflows/codesentinel.yml.

- uses: your-org/codesentinel-ai@v1
  with:
    mode: review
    enable_scoring: "true"
    opencode_api_key: ${{ secrets.OPENCODE_API_KEY }}

The Action posts PR comments, writes a job summary, and outputs metrics (score, findings).


🔌 GitHub App (Probot)

Run the bundled Probot app (src/github/app.ts) and comment slash commands on a PR:

/review
/fix
/audit
/score
/testgen
/ask How is rate limiting implemented?

The app runs the engine for the requested mode and posts the result back as a comment.


🧪 Testing

npm test          # run vitest suite (scorer, analyzer, engine flow)
npm run typecheck # type-check the whole project
npm run build     # compile to dist/

🔌 Plugins

A plugin is a module that default-exports a CodeSentinelPlugin:

import type { CodeSentinelPlugin } from "codesentinel-ai";

const plugin: CodeSentinelPlugin = {
  name: "no-fetch",
  analyze(files) {
    // return extra Finding[] based on files
    return [];
  },
  score(breakdown, files) {
    // adjust the ScoreBreakdown and return it
    return breakdown;
  },
};

export default plugin;

List plugin module paths in config.plugins to activate them.


🗂️ Project structure

src/
  config/      configuration types, defaults, loader (JSONC + overrides)
  prompts/     PromptRegistry + variable rendering ({{var}})
  ai/          provider abstraction: openai, anthropic, gemini, opencode
  analyzer/    static heuristics (secrets, eval, console, TODO)
  scorer/      weighted quality score with breakdown + AI blend
  testgen/     untested-function detection + test generation
  cache/       file-based response cache
  plugins/     plugin loader / lifecycle hooks
  github/      Action entrypoint, Probot app, GitHub reporter
  engine/      central orchestrator (mode dispatch + fix loop)
  utils/       logger, git diff collection, file globbing
  index.ts     CLI
prompts/        markdown prompt templates (overridable)
config/         example configuration
tests/          vitest suites

🚀 Publish to npm

1. Login to npm

npm login

2. Update repository URLs

Edit package.json — replace your-org/codesentinel-ai with your actual GitHub repo.

3. Build and test

npm run build
npm test

4. Dry run (preview what gets published)

npm pack --dry-run

5. Publish

# First time
npm publish

# Subsequent (bump version first)
npm version patch   # 0.1.0 → 0.1.1
npm version minor   # 0.1.0 → 0.2.0
npm version major   # 0.1.0 → 1.0.0
npm publish

6. Install in other projects

npm install codesentinel-ai

Or use directly without installing:

npx codesentinel-ai review --provider opencode

What gets published

Only these files are included in the npm package:

  • dist/ — compiled JS + type declarations
  • action.yml — GitHub Action manifest
  • prompts/ — prompt templates

Source code, tests, and config files are excluded via .npmignore.


📄 License

MIT