Langtrace AI
Improve your LLM apps with open-source observability tool
Langtrace AI launched on August 10, 2024 with 119 votes, #538 of 5,471 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Langtrace AI is an open-source observability tool that helps monitor, evaluate, and improve your LLM apps. With end-to-end visibility, advanced security, and seamless integration, Langtrace ensures you can optimize performance and build with confidence.
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Langfuse – Open-source observability and analytics for LLM apps2023 · github.com · ▲143Hi HN! Langfuse is OSS observability and analytics for LLM applications (repo: https://github.com/langfuse/langfuse, 2 min demo: https://langfuse.com/video, try it yourself: https://langfuse.com/demo) Langfuse makes capturing and viewing LLM calls (execution traces) a breeze. On top of this data, you can analyze the quality, cost and latency of LLM apps. When GPT-4 dropped, we started building LLM apps – a lot of them! [1, 2] But they all suffered from the same issue: it’s hard to assure quality in 100% of cases and even to have a clear view…
LangWatch2024 · langwatch.ai · ▲669Founder here. Langy is an AI engineer that lives inside our platform, LangWatch. It reads your production traces, writes Scenario tests and evaluations for the problems it finds, opens a pull request on your repo, and proves the fix by running those simulations in CI. A human still merges. Reachy robot from Hugging Face arrived on the same week we were planing on launching it, so we wanted to use for the launch. So we it wired to our Langy which actually lives on the platform, and asked it to test our own customer-support voice agent. On the video you can see it writing the agent tests…
- LOLangtrace – OpenTelemetry-Based LLM App Observability2024 · ▲9
Hey HN, Ola and Karthik here. We are working on Langtrace(https://github.com/Scale3-Labs/langtrace), an open source, open telemetry based SDK and monitoring/evaluations client for LLM based applications. The SDK generates OTEL standard spans and traces for popular LLMs like OpenAI, Anthropic and Cohere, popular frameworks like Langchain and LlamaIndex and vectorDBs like ChromaDB and Pinecone. The LLM monitoring/evaluations space has seen a number of products off late, both open source and closed source ones. But, a couple of things we have observed are: lack of…
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