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A middleware implementing rate policy and retry logic for Swarmauri

Project description

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Swarmauri Middleware Ratepolicy

Retry-policy middleware for Swarmauri services. Provides exponential backoff with configurable retry attempts and wait intervals so unreliable upstream calls can be retried transparently.

Features

  • Implements Swarmauri's MiddlewareBase contract; wrap any callable sequence (FastAPI routes, job runners, etc.).
  • Configurable max_retries and initial_wait seconds. Wait time doubles on each retry (initial_wait * 2**attempt).
  • Emits structured logs on retry attempts and successes for observability.
  • Simple synchronous dispatch; wrap async callables by providing a sync shim that executes the coroutine (see example below).

Prerequisites

  • Python 3.10 or newer.
  • A Swarmauri application or FastAPI project that supports middleware registration.

Installation

# pip
pip install swarmauri_middleware_ratepolicy

# poetry
poetry add swarmauri_middleware_ratepolicy

# uv (pyproject-based projects)
uv add swarmauri_middleware_ratepolicy

Quickstart

import logging
from swarmauri_middleware_ratepolicy import RetryPolicyMiddleware

logging.basicConfig(level=logging.INFO)

retry_middleware = RetryPolicyMiddleware(max_retries=3, initial_wait=0.5)

class RequestEnvelope:
    def __init__(self, payload: str):
        self.payload = payload

request = RequestEnvelope("work-item-123")

def call_next(req: RequestEnvelope):
    raise RuntimeError("Simulated upstream failure")

retry_middleware.dispatch(request, call_next)

With Swarmauri's middleware stack (or FastAPI), register it just like other Swarmauri middleware:

from swarmauri_app.middleware import middleware_stack
from swarmauri_middleware_ratepolicy import RetryPolicyMiddleware

middleware_stack.add_middleware(
    RetryPolicyMiddleware,
    max_retries=4,
    initial_wait=0.25,
)

Example: Wrapping an External API Call

import logging
import requests
from swarmauri_middleware_ratepolicy import RetryPolicyMiddleware

logging.basicConfig(level=logging.INFO)

retry = RetryPolicyMiddleware(max_retries=4, initial_wait=0.25)

class RequestWrapper:
    def __init__(self, url: str):
        self.url = url

wrapper = RequestWrapper("https://api.example.com/data")

response = retry.dispatch(
    wrapper,
    lambda req: requests.get(req.url, timeout=5),
)
print(response.status_code)

Tips

  • Keep max_retries small for user-facing endpoints to avoid long wait chains; rely on background queues for bulk retries.
  • Combine with the circuit breaker middleware for layered resilience (circuit breaker opens when repeated retries fail).
  • When wrapping async callables, convert them to sync functions using asyncio.run or anyio.from_thread to fit the middleware signature.
  • Capture logs at INFO level to trace retry attempts in production.

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.

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