We've launched native support for tracing CrewAI agent sessions in Langtrace, complete with a custom-built CrewAI dashboard for detailed tracing views. This allows you to trace everything your crews do – from task initiation to execution – so you can gain in-depth visibility into how your @crewAIInc agents operate at every step. 😀
Thrilled to share our latest collab with @elastic! We’ve co-authored a blog post on how @langtrace_ai , built on #OpenTelemetry, integrates with Elastic to supercharge LangChain tracing. Check it out: https://t.co/QdnZsE4yUX
Built a chatbot with Langtrace's SDK to help users with tech issues and more. Check out how we did it using Pinecone, GPT-4o, and more. https://t.co/QbJQ1iUsQY
@GroqInc Congrats to Groq on the Series D Funding! 🎉
Your next-gen LPU is revolutionizing AI inference. We're excited to see what's next and would love to collaborate further to push the AI and LLM space forward.
https://t.co/iJDkqJddHw
If you build applications with Large Language Models you need to check out my latest blog post 👇
I explain the importance of running evaluations on LLM applications and how running evaluations on
@langtrace_ai can help you ship LLM apps with confidence.
https://t.co/jleR5PzwEG
😇 TGIF with some great news:
You can Langtrace, our powerful open-source observability tool for LLM Evaluations and Tracing, effortlessly on Kubernetes using Helm charts. Start optimizing your LLM applications today with just a few simple commands! 👇
New post: Build a traceable RAG system with @qdrant_engine & @langtrace_ai ! Learn how to:
• Implement RAG while using vector DBs for efficient info retrieval
• Add observability to your LLM ops
What LLM observability challenges have you faced?
https://t.co/rD2PMMzlwD
🚀 Boost Your Next.js Project with Langtrace! 🚀
Integrate Langtrace into your @nextjs projects to monitor, evaluate, and manage prompts in your LLM applications, all while utilizing OpenTelemetry-compatible tracing standards.
Learn more here:
https://t.co/rjt54Y4VTW
🚀 Excited to share how @Ollama brings the power of LLMs to your local machine! Pair it with @LangtraceAI for seamless observability and performance insights. Say goodbye to high cloud costs and hello to faster, secure development! https://t.co/RIv11mKJlg
Excited to share our story regarding “How We Built a Startup Within a Startup, By Accident” and highlight why LLM Application Observability and Evaluations are paramount for any product builder using LLMs. cc: @langtrace_ai
Link: https://t.co/TkzamzMCuN
Wow! Claude 3.5 Sonnet is amazingly fast! 🔥 I did a quick comparison with GPT4o and Sonnet 3.0. The results speak for itself
You can compare and test your prompts too using @langtrace_ai . Super cool!
📘 This is the blueprint for the ideal LLM observability tech stack!
Learn how we "accidentally" built Langtrace, and transformed observability in our LLM application development.
https://t.co/xRSYB4TgwH
#LLM#Observability#AI#TechStack#OpenSource
🚀 New Blog Alert! Closing out this week with a guide on integrating @langtrace_ai with @elastic for seamless LLM observability. 🌟 Discover how easily Langtrace plugs into your existing observability stack with native #OpenTelemetry support. Perfect for enterprise AI apps! 🔍
5/ Thanks for your continued support! We're committed to making #Langtrace the best tool for #AI/LLM app development. Stay tuned for more updates and features!