Langfuse Rate Limit Management

概要

This skill empowers developers to handle Langfuse API rate limits gracefully, ensuring data integrity for LLM traces and metrics. It provides production-ready implementations for exponential backoff, batching configurations, concurrent request limiting, and data sampling. By using these patterns, developers can optimize trace ingestion, avoid 429 errors, and maintain reliable observability even under high load or within the constraints of different tier limits.

主な機能

• Configurable exponential backoff with jitter for 429 and 5xx errors
• Optimized batching and flush intervals for high-volume ingestion
• Real-time rate limit monitoring via response header analysis
• Concurrent request limiting using capacity-aware wrappers
• Intelligent sampling strategies to reduce volume while retaining critical error data
• 1,243 GitHub stars

ユースケース

• Implementing reliable observability for enterprise-scale AI pipelines
• Preventing data loss during high-traffic LLM application surges
• Managing Langfuse Free Tier limits without crashing production applications