langfuse VS agenta

Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting

Thus, we started working on Langfuse.com (GitHub) to establish an open source LLM engineering platform with tightly integrated features for tracing, prompt management, and evaluation. In the beginning we just solved our own and our friends’ problems. Today we are at over 1000 projects which rely on Langfuse, and 2.3k stars on GitHub. You can either self-host Langfuse or use the cloud instance maintained by us.

- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.

Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]

[1] https://github.com/langfuse/langfuse

[2] https://create.t3.gg/

We struggled with this ourselves while building LLM-based products and then open-sourced our observability/monitoring tool [1]. Many use it to track RAG and agents in production, run custom evals on the production traces (focused on hallucination), and track how metrics are different across releases or customers. Feel free to dm if there is something specific you are looking to solve, happy to help.

[1] https://github.com/langfuse/langfuse

Visit us on Discord and Github to engage with our project.

Maybe try https://github.com/langfuse/langfuse

It was recently shared on HN

Agenta is an end-to-end LLMOps platform. It provides tools for prompt engineering and management, evaluation, human annotation, and deployment.

I am biased, but I would use a platform and not roll your own solution. You will tend to underestimate the depth of capabilities needed for an eval framework.

Now for solutions, shameless plug here, we are building an open-source platform for experimenting and evaluating complex LLM apps (https://github.com/agenta-ai/agenta). We offer automatic evaluators as well as human annotation capabilities. Currently, we only provide testing before deployment, but we have plans to include post-production evaluations as well.

Other tools I would look at in the space are promptfoo (also open-source, more dev oriented), humanloop (one of the most feature complete tools in the space, enterprise oriented), however more enterprise oriented / costly) and vellum (YC company, more focused towards product teams)

⭐ Support Us: If you find this useful, please star us on GitHub: Agenta on GitHub

I'd add ours too, although we're trying to be an end-to-end one-stop platform.

https://github.com/agenta-ai/agenta

Great project! We're building an open-source platform for building robust LLM apps (https://github.com/Agenta-AI/agenta), we'd love to integrate your library into our evaluation!