Turn any API into AI-native tools - no reverse engineering needed
Project description
APIGen
Turn any API into Python code. No docs needed.
[!WARNING] Experimental software. Review generated code before production use.
# Generate from any API
$ apigen generate https://api.github.com
# Use it immediately
>>> from generated_tools.api_github_com import ApiGithubCom
>>> client = ApiGithubCom(api_key="ghp_...")
>>> user = client.list_user()
>>> print(user['login'])
'your-username'
What it does
Point APIGen at any API URL. Get working Python code with methods, auth, and type hints.
Works with:
- APIs that have OpenAPI specs
- APIs that don't have any docs
- Public and authenticated APIs
Install
pip install apigen-ai
Quick start
# Public API
apigen generate https://jsonplaceholder.typicode.com
# Authenticated API
apigen generate https://api.github.com
Generated code goes in generated_tools/.
Example: GitHub API
apigen generate https://api.github.com
Creates generated_tools/api.github.com.py with:
class ApiGithubCom:
def __init__(self, api_key=None):
self.base_url = "https://api.github.com"
self.api_key = api_key
def list_user(self) -> Dict:
"""Get authenticated user"""
...
def list_users(self, page=None, limit=None) -> Dict:
"""List all users"""
...
def get_users(self, id) -> Dict:
"""Get specific user"""
...
Use it:
import importlib.util
spec = importlib.util.spec_from_file_location(
"api", "generated_tools/api.github.com.py"
)
api = importlib.util.module_from_spec(spec)
spec.loader.exec_module(api)
client = api.ApiGithubCom(api_key="ghp_your_token")
user = client.list_user()
print(f"Logged in as: {user['login']}")
How it works
Phase 1: Check for OpenAPI spec
- Probes
/openapi.json,/swagger.json, etc. - Parses endpoints, parameters, auth
- Generates full method signatures
Phase 2: Probe the API
- Tests common patterns (
/users,/api/v1,/products) - Detects auth from response headers
- Infers parameters from responses
- Discovers ID-based endpoints
Result: Clean Python code that works.
Commands
# Generate tool
apigen generate <url>
# Skip Elasticsearch (faster)
apigen generate <url> --skip-index
# Search catalog (requires Elasticsearch)
apigen search "payment apis"
# Setup Elasticsearch
apigen setup
Configuration
Optional .env file:
ELASTICSEARCH_HOST=localhost
ELASTICSEARCH_PORT=9200
ELASTICSEARCH_USER=elastic
ELASTICSEARCH_PASSWORD=changeme
Requirements
- Python 3.11+
- Elasticsearch 8.15+ (optional, for search)
- Docker (optional, for Elasticsearch)
What gets generated
Every tool includes:
- Method signatures with parameters
- Authentication (Bearer, API key, OAuth)
- Type hints
- Docstrings
- Error handling
- Query parameter support
Limitations
- Review generated code before production
- Complex auth may need manual tweaks
- No rate limiting
- No WebSocket/GraphQL support yet
Contributing
Issues and PRs welcome.
Areas for improvement:
- More auth methods
- Better parameter inference
- GraphQL support
- WebSocket support
License
MIT
Project details
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