Langfuse Status — Is Langfuse Down?

Operational

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Service Status

Langfuse Web

Operational401ms

24-Hour Uptime

100%

Operational

Degraded

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Latency (24h)

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Common Issues with Langfuse

See detailed troubleshooting guides for the most common Langfuse errors:

API Error (500 / 502 / 503)

Langfuse is returning API errors (HTTP 500, 502, or 503), indicating the platform's backend is experiencing issues. MLOps platforms handle complex workloads — model training, experiment tracking, pipeline orchestration — making server errors particularly disruptive to active workflows.

Pipeline / Training Run Failed

Your ML pipeline or training run on Langfuse has failed unexpectedly. This can be caused by platform-side issues (compute unavailability, orchestration bugs) or configuration problems on your end. Distinguishing between the two is key to a fast resolution.

Model Registry / Artifact Store Error

You cannot push, pull, or access model artifacts in Langfuse's model registry. This blocks model deployment and versioning workflows. Registry errors are often caused by storage backend issues or permission problems.

About Langfuse

Open-source LLM engineering platform for tracing and evals

Official Website

Category

Monitored Surfaces

Langfuse Web

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