opentelemetry-instrument-openai-py
langfuse
opentelemetry-instrument-openai-py | langfuse | |
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1 | 10 | |
11 | 3,681 | |
- | 30.4% | |
6.8 | 9.9 | |
2 months ago | 6 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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opentelemetry-instrument-openai-py
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Show HN: Langfuse – Open-source observability and analytics for LLM apps
Makes sense! If you're curious, I added an autoinstrumentation library for openai's python client here: https://github.com/cartermp/opentelemetry-instrument-openai-...
The main challenge I see is that since there's no standard that each LLM has for inputs/outputs (let alone retrieval APIs!) any kind of automatic instrumentation will need to have a bunch of adapters. I suppose LangChain helps here, but even then with so many folks ripping it out for production you're still in the same place.
Happy to collaborate on any design thinking for how to incorporate OTel support!
langfuse
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Top Open Source Prompt Engineering Guides & Tools🔧🏗️🚀
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
- Roast My Docs
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Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting
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RAG observability in 2 lines of code with Llama Index & Langfuse
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.
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langfuse VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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Ask HN: Who is hiring? (November 2023)
- 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/
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How are generative AI companies monitoring their systems in production?
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
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LLM Analytics 101 - How to Improve your LLM app
Visit us on Discord and Github to engage with our project.
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Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
Maybe try https://github.com/langfuse/langfuse
It was recently shared on HN
- Show HN: Langfuse – Open-source observability and analytics for LLM apps
What are some alternatives?
clickhouse_knowledge_base - The Tinybird ClickHouse Knowledge Base
trulens - Evaluation and Tracking for LLM Experiments
llama_index - LlamaIndex is a data framework for your LLM applications
langchain - 🦜🔗 Build context-aware reasoning applications
agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.
nebuly - The user analytics platform for LLMs
omnigres - Postgres as a Platform
recruiting-hell - A collection of terrible and weird interactions with recruiters, job descriptions, questions, and technical assessments
AutoChain - AutoChain: Build lightweight, extensible, and testable LLM Agents
opentelemetry-instrument-openai-