Show HN: One line so LLM workers share a 429 wait and keep jobs an outage stops (github.com)

Baldur, a new Python decorator framework, aims to streamline API call management during service outages, ensuring that applications remain responsive even when dependencies like payment providers or AI services go down. By implementing a circuit breaker pattern, Baldur allows all workers to share a single wait time for rate-limited responses (HTTP 429), preventing the overload of requests that can happen when each worker independently times out. Instead of losing failed jobs, everything is tracked and can be replayed once services recover, making it easier for developers to maintain continuity without complex setups involving Redis or Docker. This is a significant advancement for the AI/ML community, particularly as reliance on external APIs increases. With built-in features like dead-letter queues, graceful replays, and fallback mechanisms, Baldur enhances the resilience of applications designed to leverage AI/ML models. It supports both synchronous and asynchronous functions, making it versatile for various web frameworks like Django and FastAPI. As the adoption of AI in production environments grows, tools like Baldur could become essential for ensuring consistent application performance amidst the unpredictable nature of external service availability.