Langtrace的封面图片
Langtrace

Langtrace

软件开发

Transform your AI app (agent) from a prototype to production-ready product in days.

关于我们

Build secure, reliable, and accurate AI products using Langtrace. Langtrace is an open-source observability and evaluations platform for AI agents.

网站
https://www.langtrace.ai/
所属行业
软件开发
规模
2-10 人
类型
私人持股
创立
2024

Langtrace员工

动态

  • Langtrace转发了

    查看Saroop Bharwani的档案

    Founder of Senso (YC W24) | Builder | Public Speaker

    Vibe coding has spread throughout the valley in recent weeks, and as the AI community gathers for NVIDIA GTC 2025, we welcome developers, product managers, and content creators to join us for our first Vibe Code AI Agents Hackathon.? Brought to you by Creators Corner and Vertex Ventures US Sponsors include: Google DeepMind, Stytch, ElevenLabs, Cloudflare, Senso, Marly, All Hands AI, FundMore, Langtrace, Solana Foundation and more! ?? Saturday, March 22, 2025 ? 9:00 AM - 7:00 PM PDT ?? Cloudflare Office, San Francisco ?? $50k+ in Prizes! ?? The Challenge: Build a multimodal AI agent that applies advanced reasoning to solve real-world problems. Push the limits of LLMs and AI applications! Register by Wednesday, Mar 19: https://lu.ma/meofrw3d Simon Tiu Paige Bailey Reed McGinley-Stempel Elizabeth (Lizzie) Siegle Tim Cloonan Robert Brennan Chris Grimes Karthik Kalyanaraman Noah G. Giovanni Amenta Murtaza M.

  • Langtrace转发了

    查看Ola Musè的档案

    CEO & Co-Founder LangTrace.ai - LLmOps OpenTel | Modern Observability and Infrastructure Platform

    OTEL support for OpenAI Agents SDK is now live on Langtrace!!!!!!

    查看Karthik Kalyanaraman的档案

    Cofounder and CTO, Langtrace AI | OpenTelemetry Contributor

    ?? New Support Alert on Langtrace: We’ve just launched Day 1 support for tracing OpenAI's latest Agents SDK, now OpenTelemetry compatible! ICYMI: Yesterday, OpenAI released a new open-source Agents SDK that simplifies orchestrating multi-agent workflows. What does this mean for Langtrace users? ? Existing users: No action required! If you're using OpenAI's Agents SDK, Langtrace will automatically trace it. ? New users: Simply integrate with 2 lines of code to get rich tracing for OpenAI's Agents SDK. ? Enhanced metadata: Langtrace traces are OpenTelemetry (OTEL) compatible by default, providing richer metadata than OpenAI’s native tracing. ? No vendor lock-in: Langtrace allows you to send traces to any observability platform that supports OTEL, giving you full flexibility and choice. Give it a try and let us know if you have any feedback ??

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  • 查看Langtrace的组织主页

    368 位关注者

    ?? Support for OpenAI's Agents SDK is now live!

    查看Karthik Kalyanaraman的档案

    Cofounder and CTO, Langtrace AI | OpenTelemetry Contributor

    ?? New Support Alert on Langtrace: We’ve just launched Day 1 support for tracing OpenAI's latest Agents SDK, now OpenTelemetry compatible! ICYMI: Yesterday, OpenAI released a new open-source Agents SDK that simplifies orchestrating multi-agent workflows. What does this mean for Langtrace users? ? Existing users: No action required! If you're using OpenAI's Agents SDK, Langtrace will automatically trace it. ? New users: Simply integrate with 2 lines of code to get rich tracing for OpenAI's Agents SDK. ? Enhanced metadata: Langtrace traces are OpenTelemetry (OTEL) compatible by default, providing richer metadata than OpenAI’s native tracing. ? No vendor lock-in: Langtrace allows you to send traces to any observability platform that supports OTEL, giving you full flexibility and choice. Give it a try and let us know if you have any feedback ??

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  • 查看Langtrace的组织主页

    368 位关注者

    Weaviate + Groq + Slack = ?? ?? ??

    查看Karthik Kalyanaraman的档案

    Cofounder and CTO, Langtrace AI | OpenTelemetry Contributor

    This Slack AI agent gives us a 5-10x boost in debugging production issues, and it took us less than an hour to build and launch. ?? Debugging production issues can be time-consuming and frustrating, often requiring manual investigation and multiple context-switching between tools like Sentry, Vercel and others. At Langtrace we've built a Slack AI agent that streamlines the process. Our production logs are sent to a hosted Weaviate VectorDB, and a Slack bot(agent) powered by Weaviate and Groq (RAG) is used to triage errors. When an error occurs, the agent sends the alert, and the bot responds with additional context for faster diagnosis. The best part? Since it can now converse in natural language with context, you can directly query the bot in Slack for deeper insights into the error. Some tips for improving the performance of this agent: 1/ Be intentional about the messages you log to the VectorDB. The richer the context, the better the performance of the agent will be. 2/ We chose Weaviate because it offers great performance and multi-vector embeddings, which can be useful in the future. 3/ While you can use any LLM provider, Groq is the fastest—and when it comes to debugging production issues, speed is crucial. 4/ Finally, we also use Langtrace for tracing this RAG setup to debug and improve its performance. ?? If this sparks an idea, give it a try!

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  • Langtrace转发了

    查看Karthik Kalyanaraman的档案

    Cofounder and CTO, Langtrace AI | OpenTelemetry Contributor

    This Slack AI agent gives us a 5-10x boost in debugging production issues, and it took us less than an hour to build and launch. ?? Debugging production issues can be time-consuming and frustrating, often requiring manual investigation and multiple context-switching between tools like Sentry, Vercel and others. At Langtrace we've built a Slack AI agent that streamlines the process. Our production logs are sent to a hosted Weaviate VectorDB, and a Slack bot(agent) powered by Weaviate and Groq (RAG) is used to triage errors. When an error occurs, the agent sends the alert, and the bot responds with additional context for faster diagnosis. The best part? Since it can now converse in natural language with context, you can directly query the bot in Slack for deeper insights into the error. Some tips for improving the performance of this agent: 1/ Be intentional about the messages you log to the VectorDB. The richer the context, the better the performance of the agent will be. 2/ We chose Weaviate because it offers great performance and multi-vector embeddings, which can be useful in the future. 3/ While you can use any LLM provider, Groq is the fastest—and when it comes to debugging production issues, speed is crucial. 4/ Finally, we also use Langtrace for tracing this RAG setup to debug and improve its performance. ?? If this sparks an idea, give it a try!

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  • Langtrace转发了

    查看Agno的组织主页

    3,539 位关注者

    查看Langtrace的组织主页

    368 位关注者

    ?? New Integration Alert We're excited to announce that Langtrace now supports Agno. Agno is a lightweight library for building multi-modal agents, designed with simplicity, speed, and flexibility in mind. Langtrace gives developers visibility into their agents' operations, from reasoning steps and tool calls to memory operations and knowledge retrieval. Links in the first comment below ??

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  • Langtrace转发了

    查看Ashpreet B.的档案

    CEO Agno | Agent Infrastructure

    You can now monitor Agno agents with Langtrace. I'm so happy with this integration, thank you Karthik Kalyanaraman and team. The biggest advantage of open source is building together, and the friends you make along the way!

    查看Langtrace的组织主页

    368 位关注者

    ?? New Integration Alert We're excited to announce that Langtrace now supports Agno. Agno is a lightweight library for building multi-modal agents, designed with simplicity, speed, and flexibility in mind. Langtrace gives developers visibility into their agents' operations, from reasoning steps and tool calls to memory operations and knowledge retrieval. Links in the first comment below ??

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  • Langtrace转发了

    查看Langtrace的组织主页

    368 位关注者

    ?? New Integration Alert We're excited to announce that Langtrace now supports Agno. Agno is a lightweight library for building multi-modal agents, designed with simplicity, speed, and flexibility in mind. Langtrace gives developers visibility into their agents' operations, from reasoning steps and tool calls to memory operations and knowledge retrieval. Links in the first comment below ??

    • 该图片无替代文字
  • 查看Langtrace的组织主页

    368 位关注者

    ?? New Integration Alert We're excited to announce that Langtrace now supports Agno. Agno is a lightweight library for building multi-modal agents, designed with simplicity, speed, and flexibility in mind. Langtrace gives developers visibility into their agents' operations, from reasoning steps and tool calls to memory operations and knowledge retrieval. Links in the first comment below ??

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  • Langtrace转发了

    查看Jay Thakrar的档案

    Building Observability + Evaluations Platform for Agentic Systems l ex-Coinbase

    The AI Engineer Summit last week in NYC was energizing. Two common themes emerged from majority of the speaking sessions: (1) observability and (2) evaluations. My take away: slowly but surely, everyone is realizing that in order to integrate AI into an enterprise-grade application, (1) you need to observe what is happening under the hood and (2) be rigorous in evaluating the accuracy of the outputs. In other words, observability and evals are the new test suites for AI products.

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