#llm-observability
The latest AI and developer news about #llm-observability, with the original source and a short summary.
The latest AI and developer news about #llm-observability, with the original source and a short summary.
Vantage is a free, local-first tool that tracks costs, enforces permissions, and logs sessions for AI coding agents like Claude and OpenAI.
Engine v2 proactively detects issues like hallucinations and validates fixes before deployment, with new features available in Private Beta for LangSmith Deployment users.
Podium used LangSmith to optimize AI agent performance and reduce engineering intervention by 90%.
TraceLLM, an OpenTelemetry-based observability tool for AI applications running in production environments, has been released.
LangChain supports compliance with the EU AI Act's regulations on high-risk AI systems through LangSmith and open-source tools.
Factory adopted LangSmith to gain observability into its LLM pipelines and automate feedback loops, doubling its product iteration speed.
Replit has upgraded LangSmith's capabilities to efficiently debug and monitor the complex workflows of Replit Agent.
Future AGI has unveiled an open-source AI agent evaluation and observability platform with features similar to LangSmith.
Spanlens, an open-source observability platform supporting LLM call logging, cost tracking, and agent tracing, has been released.
Torrix, a self-hosted observability tool that lets you monitor requests, responses, latency, and more for local LLMs, has been launched.
LangSmith now supports OpenTelemetry, standardizing tracing for LLM applications and providing unified observability.
Introduces how to build and deploy a production-grade RAG application by combining Pinecone Serverless, LangServe, and LangSmith.