Langfuse

Purpose: Understanding, evaluating, and improving the quality, cost, latency, and behavior of AI applications in production.

Inferred · not functionally tested

Audience: AI engineers and developers building production LLM applications and agents

Inferred · not functionally tested

Functions: monitoring, analytics, collaboration

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: commercial_oss · license: MIT · platforms: API, CLI, WEB · deployment: browser, cli, self_hosted, api_only, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: langfuse.com · github.com. These links do not verify the individual claims.

Langfuse sits in PulseGate's LLM & agent tracing category. Inferred · not functionally tested: Understanding, evaluating, and improving the quality, cost, latency, and behavior of AI applications in production. Inferred · not functionally tested: It is built as a B2B product for AI engineers and developers building production LLM applications and agents. Basis unknown · not verified: It follows a commercial open-source model under the MIT license. Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.

Langfuse builds and maintains Langfuse, and it first shipped in 2023. The project is developed in the open on GitHub with 236 stars and 620 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are LLM Tracing, Prompt Management, and Agent Evaluation. Inferred · not functionally tested: Catalogued interfaces include a public API.

Summary written by a language model from the project’s public pages.