langfuse/langfuse
Langfuse is an open-source LLM engineering platform for developing, monitoring, evaluating, and debugging AI applications, offering observability, prompt management, and evaluation capabilities.
Awesome Infra for AI › LLM Observability & Tracing
traceloop/openllmetry-js
OpenLLMetry-JS is a JavaScript/TypeScript implementation of the OpenLLMetry project, designed to provide comprehensive observability for applications built using Large Language Models (LLMs). It leverages the OpenTelemetry standard, which means it can seamlessly integrate with existing observability solutions like Datadog, Honeycomb, Grafana Tempo, and others. The project offers a set of instrumentations for various LLM providers (e.g., OpenAI, Anthropic, Cohere, Vertex AI, Bedrock) and vector databases (e.g., Pinecone, Chroma, Qdrant). Additionally, it supports LLM frameworks such as LangChain and LlamaIndex. By using OpenLLMetry-JS, developers can gain deep insights into the behavior and performance of their LLM-powered applications, monitoring calls, responses, and associated metadata. The project emphasizes ease of use with a straightforward SDK for quick integration, while also providing granular control for those who already have OpenTelemetry instrumentations in place. It aims to standardize LLM observability by contributing its semantic conventions to the broader OpenTelemetry community.
https://github.com/traceloop/openllmetry-js
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