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Reliability primitives for Python applications.

Project description

RelPrim

Reliability primitives for external operations in Python.

RelPrim is a production resilience SDK that helps developers build reliable integrations with AI providers, APIs and external services.

Status

🚧 Early development.

RelPrim is currently in active development and APIs may change before the first stable release.

Installation

pip install relprim

Quickstart

import asyncio

from relprim import (
    ExponentialBackoff,
    RetryPolicy,
    TimeoutPolicy,
    async_operation,
)


class TemporaryProviderError(Exception):
    pass


async def call_external_provider(prompt: str) -> str:
    # Replace this with an OpenAI, Gemini, HTTP, payment or any other external call.
    return f"Generated response for: {prompt}"


async def main() -> None:
    result = await (
        async_operation("generate_response", call_external_provider)
        .with_retry(
            RetryPolicy(
                max_attempts=3,
                retry_on=(TemporaryProviderError,),
                backoff=ExponentialBackoff(
                    base_delay_seconds=0.2,
                    max_delay_seconds=2.0,
                    jitter=True,
                ),
            )
        )
        .with_timeout(TimeoutPolicy(seconds=10))
        .run("Write a short product summary")
    )

    print(result.value)
    print(result.report.to_dict())


asyncio.run(main())

Current Features

  • Retry policies
  • Async timeout enforcement
  • Structured execution reports
  • Operation results
  • Typed execution errors

Planned Features

  • Circuit breakers
  • Fallback chains
  • Validation
  • Idempotency
  • Rate limit handling
  • Structured events
  • SQLite event store
  • OpenTelemetry exporter

What RelPrim is not

RelPrim is not a workflow engine, agent framework, task queue, chatbot framework or AI provider wrapper.

It is a reliability SDK for external operations.

License

Apache License 2.0

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