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⚜️ Clientele

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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 - All the testing tools you need to maintain API integrations.
  • 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.

generate_gif

Getting Started

👉 Read the full documentation for all documentation.

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