⚜️ Clientele

Example code

from clientele import api
from pydantic import BaseModel

client = api.APIClient(base_url="https://pokeapi.co/api/v2/")

class Pokemon(BaseModel):
    name: str

@client.get("/pokemon/{id}")
def get_pokemon_name(id: int, result: Pokemon) -> str:
    return result.name

See more examples

Why use Clientele?

• A comfortable abstraction - Encourages consistency and focus on the functionality.
• Easy to learn - Clientele is visually similar to popular python API server frameworks.
• Easy to test - Comes with built-in testing tools.
• Easy to configure - Sensible HTTP defaults and plenty of hooks for customisation.
• Easy data validation - Built in data validation using Pydantic.
• Core built-ins - Caching, Network, and Retry handling built specifically for HTTP.
• Use your own HTTP - Clientele can support any Python HTTP library.
• OpenAPI support - Build your own client, or scaffold one from an OpenAPI schema.

Async support

@client.get("/pokemon/{id}")
async def get_pokemon_name(id: int, result: Pokemon) -> str:
    return result.name

Automatic data validation

from clientele import api as clientele_api
from .my_pydantic_models import CreateBookRequest, CreateBookResponse

client = clientele_api.APIClient(base_url="http://localhost:8000")


@client.post("/books")
def create_book(data: CreateBookRequest, result: CreateBookResponse) -> CreateBookResponse:
    return result

Streaming responses

from typing import AsyncIterator

from clientele import api
from pydantic import BaseModel


client = api.APIClient(base_url="https://httpbin.org")


class Event(BaseModel):
    id: int
    url: str


@client.get("/stream/{n}", streaming_response=True)
async def stream_events(n: int, result: AsyncIterator[Event]) -> AsyncIterator[Event]:
    return result

Works with Python API frameworks

Building an API service in Python? Clientele can build you a client library in seconds.

Clientele is built and tested to be 100% compatible with the OpenAPI schemas generated from:

• FastAPI
• Django REST Framework via drf-spectacular
• Django Ninja

See the working demos in our server_examples/ directory.

OpenAPI support

Clientele can create scaffolding for an API client from an OpenAPI schema with:

• Pydantic models generated from the schema objects.
• Decorated function signatures generated from schema operations.
• Async support if you want a client with concurrency.
• A tiny output that is only 3 files big.
• Regeneration-friendly - update your API, regenerate, review the git diff, then ship it!
• Formatted code thanks to Ruff.

Getting Started

👉 Read the full documentation for all documentation.