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Fetch Langfuse traces into coding agents for natural-language debugging and analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Langfuse Trace Fetcher" yet — see the docs or source repo.
Fetch Langfuse traces related to payment-service from the last 24 hours, identify the request paths with the most errors, and summarize common failure patterns.
A summary of relevant traces, the main failing endpoints, error distribution, and brief analysis findings.
Load Langfuse traces for the RAG Q&A workflow from the last week, compare average latency across retrieval, reranking, and generation, and identify the bottleneck stage.
A stage-by-stage latency comparison, bottleneck identification, and optimization suggestions.
Extract Langfuse traces before and after the last two prompt version updates, compare quality scores, failure rates, and representative examples, and determine whether a regression occurred.
A before-and-after comparison, regression assessment, and key supporting examples.
Fetch and analyze LangSmith traces to debug LangChain and LangGraph agents.
Search Langfuse docs to debug, evaluate, and improve LLM applications.
Monitor AI systems, traces, and quality metrics with Langfuse observability.
Analyze AI agent traces to diagnose failures and recommend actionable improvements.
Extract and log W3C Trace Context to verify Claude Code propagation.
Analyze local-first AI agent CLI usage patterns and invocation data.