Langtrace

?? 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 ??

?? 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 ??

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!

?? 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 ??

?? 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 ??