Langtrace.ai @langtrace_ai Twitter profile

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Langtrace.ai

4 months

🚀 It’s been 1.5 months and we’re just getting started! Use for observing and evaluating the performance of LLMs within your app today #AI #LLM #OpenSource #OpenAI #Groq

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Langtrace.ai

@langtrace_ai

21 days

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

Karthik Kalyanaraman

@karthikkalyan90

21 days

🚀🚀Super excited to launch native support for @crewAIInc in @langtrace_ai . Check out a quick demo. And no it's not behind any waitlist, you can try it out right now! Reach out to me if you run into any issues, got feedback or need additional Langtrace credits!

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Langtrace.ai

@langtrace_ai

4 months

Boost your @weaviate_io performance with ! Learn how to trace and monitor Weaviate API calls seamlessly using Langtrace. Unlock insights and optimize your vector database operations effortlessly. #Langtrace #Weaviate #Observability #llm

Langtrace AI

Monitor, evaluate and improve your LLM apps.

langtrace.ai

Darshit Suratwala

@DSdatsme

4 months

Boost your @weaviate_io performance with @Langtrace_ai ! Learn how to trace and monitor Weaviate API calls seamlessly using Langtrace.

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Langtrace.ai

@langtrace_ai

2 months

@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.

Comparative Analysis of Large Language Model Latency

Explore the detailed performance analysis of leading large language models using Langtrace, highlighting the best options for low-latency AI applications.

langtrace.ai

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Langtrace.ai

@langtrace_ai

1 month

Our latest guide covers how to build a powerful RAG system using @llama_index , @pinecone , and Langtrace! Check it out! 👇

Implementing RAG using LlamaIndex, Pinecone and Langtrace: A Step-by-Step Guide

Discover how to build a Retrieval Augmented Generation (RAG) system using LlamaIndex for data indexing, Pinecone for vector storage and retrieval, and Langtrace for monitoring

langtrace.ai

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Langtrace.ai

@langtrace_ai

2 months

Our latest blog post dives into the crucial role of evaluations in building reliable LLM applications. Learn how Langtrace simplifies this process, ensuring your LLM apps produce the outputs you want! 👇

Why You Need Evaluations in your LLM App and How Langtrace Can Help

Learn why running evaluations is increasingly important while building LLM applications and how Langtrace can help you run evaluations.

langtrace.ai

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Langtrace.ai

@langtrace_ai

3 months

🔍 Building LLM applications? Enhance your monitoring capabilities by shipping your LLM traces to @grafana with Langtrace.

Tobi

@T_aderom

3 months

I ❤️ my @grafana LLM stack! If you're using Grafana, you can (and should!) trace your LLM calls. New guide to get you started:

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Langtrace.ai

@langtrace_ai

3 months

🚀 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:

Integrating Langtrace into Your Next.js LLM Project

Learn how to integrate Langtrace into your Next.js application for enhanced LLM monitoring and optimization.

langtrace.ai

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Langtrace.ai

@langtrace_ai

5 months

1/3 Exciting news! We've integrated @LlamaIndex ! This game-changing integration brings one-click observability to retrieval-augmented generation (RAG) applications, supporting #OpenTelemetry . More info👉 #Langtrace #LlamaIndex #OpenSource

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Langtrace.ai

@langtrace_ai

4 months

NEW: @pinecone integration! Monitor, Evaluate, and Improve your #LLM powered applications built with Pinecone 🧠

Ali Waleed

@AliWale76917860

4 months

1/3 🚀 Big News! we've integrated @Pinecone with Langtrace 🎉. Our open-source observability platform now seamlessly integrates with the powerful vector database, Pinecone, bringing one-click insights and optimization to your search applications.

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Langtrace.ai

@langtrace_ai

4 months

Langtrace is FULLY OPEN SOURCE and can be easily self-hosted using @Railway Learn how to get set up in 5 minutes 👇 #opensource #LLM #AI

Darshit Suratwala

@DSdatsme

4 months

Unlock LLM observability with @Langtrace_ai ! Discover how to self-host Langtrace in under 5 minutes on @Railway . Seamlessly monitor LLM applications and gain insights effortlessly. #Langtrace #Railway #Observability 🛠️

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Langtrace.ai

@langtrace_ai

30 days

🧵 Case Study: How Salomatic Used Langtrace to Build a Reliable Medical Report Generation System

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Langtrace.ai

@langtrace_ai

6 months

1/📣 Excited to introduce - an open source observability platform for LLM Apps, where you can trace, evaluate, manage prompts and data sets, and debug any issues related to your LLM’s performance in your application. Learn more 👇

Langtrace AI

Monitor, evaluate and improve your LLM apps.

langtrace.ai

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Langtrace.ai

@langtrace_ai

3 months

📘 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. #LLM #Observability #AI #TechStack #OpenSource

We built a startup within a startup, “by accident”.

Learn more about why Observability and Evaluations are important for developers building applications on Large Language Models (LLMs).

langtrace.ai

Jay Thakrar

@JayThakrar

3 months

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:

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Langtrace.ai

@langtrace_ai

4 months

Struggling to improve your AI/LLM-powered product? You need observability and evaluations. Read on to learn how to effectively measure, enhance, and evaluate your LLM applications 👇 #ai #llm

Karthik Kalyanaraman

@karthikkalyan90

4 months

Thoughts and learnings from doing Evaluations for LLM powered applications from my experience building with LLMs in the last few months: Evaluations for LLM powered applications is different from Model Evaluation leaderboards like Huggingface Open LLM leaderboard If you are an

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Langtrace.ai

@langtrace_ai

6 months

@github 6/ We currently support @LangChainAI , @llama_index , @pinecone , @trychroma , @OpenAI , and @AnthropicAI , and we're just getting started! 🛠️ We plan to build support for @cohere , @googlecloud 's #VertexAI , @awscloud 's #BedRock , and @huggingface in the coming weeks.

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Langtrace.ai

@langtrace_ai

5 months

Attention @Microsoft Azure users! Discover how to set up @Langtrace on @Azure and unlock insights into your LLM Apps. Optimize performance, ensure data security, and elevate your application’s capabilities. Learn more here:

Setting Up Langtrace on Azure

Integrating Langtrace with Azure allows for seamless monitoring and analysis of LLM apps deployed on the Azure platform. In this guide, we'll walk through the steps to set up Langtrace on Azure.

langtrace.ai

Darshit Suratwala

@DSdatsme

5 months

Just published a blog on how to self-host @langtrace_ai using @Azure Developer Cli. 🚀

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Langtrace.ai

@langtrace_ai

5 months

👀

Karthik Kalyanaraman

@karthikkalyan90

5 months

1/3 👀 New shiny drop - We just shipped prompt playground in Langtrace. The goal of this feature is to help you test and iterate on your prompts from a single view across different combinations of models and model settings.

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Langtrace.ai

@langtrace_ai

2 months

😇 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! 👇

Darshit Suratwala

@DSdatsme

2 months

No CrowdStrike needed! Skip the complexity and effortlessly run @langtrace_ai on Kubernetes. Discover our seamless deployment process:

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Langtrace.ai

@langtrace_ai

6 months

@github @LangChainAI @llama_index @pinecone @trychroma @OpenAI @AnthropicAI @cohere @googlecloud @awscloud @huggingface 7/ Get started for free today via and join our community (). Happy building! 🫡

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Langtrace.ai

@langtrace_ai

1 month

🚀 Our new chatbot doesn’t just assist with tech issues—it demonstrates Langtrace’s tracing in action! Built using @pinecone , GPT-4o, and our SDK, the bot logs each interaction so you can see real-time traces and insights directly within Langtrace.

dylan

@dyla_nz

1 month

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.

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Langtrace.ai

@langtrace_ai

5 months

You can now tinker with GPT4-O and track cost for it with Langtrace

Karthik Kalyanaraman

@karthikkalyan90

5 months

Speed GPT4-O > GPT4-Turbo > GPT-3.5-Turbo Cost GPT4-Turbo > GPT4-O > GPT-3.5-Turbo Choose wisely!

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Langtrace.ai

@langtrace_ai

3 months

Compare @AnthropicAI ’s Claude 3.5 Sonnet with GPT-4o using our Prompt Playground. Test your prompts now and see the difference in quality!

Langtrace AI

Monitor, evaluate and improve your LLM apps.

langtrace.ai

Yemmy

@moreutxoo

3 months

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!

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Langtrace.ai

@langtrace_ai

5 months

🚀👀

Karthik Kalyanaraman

@karthikkalyan90

5 months

🚢Things we have we shipped in @langtrace_ai in the last 6 weeks 🧵 Problem: How to gain visibility into retrievals and text generations when using LLMs, VectorDBs and frameworks Solution:OTEL tracing SDKs in Python and Typescript for the most popular LLMs, VectorDBs & frameworks

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Langtrace.ai

@langtrace_ai

6 months

Hello World :)

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Langtrace.ai

@langtrace_ai

30 days

8/ “If LLMs are the brains, DSPy is our hands, and Langtrace is our eyes,” says Anton. Langtrace was the key to deeper system understanding and scaling. 👀

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Langtrace.ai

@langtrace_ai

4 months

We love @GroqInc

Groq Inc

@GroqInc

4 months

"Groq running Llama-3 excels in scenarios where efficiency is critical, offering the lowest latencies across all tests. It's the ideal choice for applications where speed is essential."

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Langtrace.ai

@langtrace_ai

6 months

5/ We're proud to be open source with #OpenTelemetry standards, and we'd love to have you contribute! 🙌 Visit our @github Repo here:

GitHub - Scale3-Labs/langtrace: Langtrace 🔍 is an open-source, Open Telemetry based end-to-end...

Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vecto...

github.com

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Langtrace.ai

@langtrace_ai

6 months

2/ Using Langtrace, you can better understand the pathways and transformations within your LLM apps using detailed tracing and logs.

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Langtrace.ai

@langtrace_ai

3 months

Are you confident in pinpointing prompt-specific issues in your LLM app? Tracking prompt IDs and versions in your traces is crucial because it allows you to precisely identify, monitor, and debug the performance and behavior of specific prompts in your application. Learn how to

dylan

@dyla_nz

3 months

Attention LLM developers! Check out our latest @langtrace_ai blog post on how to enhance your trace monitoring by tracking prompts in your LLM applications. Dive into the full guide here:

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Langtrace.ai

@langtrace_ai

6 months

3/ Additionally, you can benefit from real-time monitoring of key metrics, including (1) costs and usage, (2) accuracy, and (3) response times / latency.

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Langtrace.ai

@langtrace_ai

6 months

4/ Moreover, developers and users can manually score the outputs of an LLM app, enabling devs of LLM apps ((we built this for you!🫶) to get a holistic evaluation of an underlying LLM's performance.

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Langtrace.ai

@langtrace_ai

3 months

Our cofounder, @karthikkalyan90 will be speaking at the @AIQCon ’s AI Quality Conference in San Francisco on June 25th! His talk will focus on "A Systematic Approach to Improving Your AI-Powered Applications." Let us know if you will be joining us 🤝

Karthik Kalyanaraman

@karthikkalyan90

3 months

I'm thrilled to announce that I will be speaking at the AI Quality Conference ( @AIQCon ) in San Francisco on June 25th. My talk will focus on "A Systematic Approach to Improving Your AI-Powered Applications." Langtrace AI will also have a booth. Come say hi to us and learn more

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Langtrace.ai

@langtrace_ai

5 months

@LlamaIndex 3/3 Join our open-source community () to contribute, provide feedback, and shape the future of observability for RAG applications! Explore our examples repo and video demo to get started. Let's build better applications together! 🙌

Join the Langtrace Discord Server!

Langtrace: an open-source observability tool that analyzes traces and metrics to help you improve your LLM Applications | 126 members

discord.com

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Langtrace.ai

@langtrace_ai

30 days

10/ Want the full story? Read the case study here:

Case Study: How Salomatic Used Langtrace to Build a Reliable Medical Report Generation System

Salomatic used Langtrace to diagnose LLM issues in real-time, reducing errors and enabling them to scale more efficiently.

langtrace.ai

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Langtrace.ai

@langtrace_ai

5 months

2/3 With @Langtrace_ai and @LlamaIndex , you can now: 👉Visualize latency breakdowns for individual components 👉Analyze the relevance of retrieved context for specific queries 👉Monitor resource utilization and cost 👉All while supporting open standards like OTEL! #RAG

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Langtrace.ai

@langtrace_ai

5 months

🚀🚀🚀

Karthik Kalyanaraman

@karthikkalyan90

5 months

🚢We just shipped support for @GroqInc and @qdrant_engine on @langtrace_ai 🚀 Just add 2 lines of code to your entrypoint and trace all the Groq and Qdrant calls. 🔥

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Langtrace.ai

@langtrace_ai

5 months

🚢 Shipping soon 🚀

Karthik Kalyanaraman

@karthikkalyan90

5 months

Feature alert for @langtrace_ai If you use Langgraph to build agents, Langtrace will automatically render your Graph in this view. 🔥 This is super useful to visualize the graph built using Langgraph for agentic workflows Courtesy - React Flow - Amazing library from @xyflowdev

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Langtrace.ai

@langtrace_ai

20 days

We put Llama 3.1b and GPT-4o to the test by building "Chat with Repos(PRs)" to tackle large pull requests! 🧑‍💻🚀 Check out how these models performed in code summarization and system insights. 🔗 Read more:

Chat With Repos(PRs) Using Llama 3.1B

Testing Llama 3.1b with a 'Chat with Repo(PRs)' program

langtrace.ai

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Langtrace.ai

@langtrace_ai

30 days

6/ Their tech stack? Python 3.12, DSPy, FastAPI, and Azure OpenAI API, with Langtrace ensuring their LLMs delivered reliable, structured reports. 🖥️

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