TrueFoundry announced a native integration between its AI Gateway and Arize, enabling enterprises to trace, evaluate, and monitor AI model calls across multiple providers and agent frameworks without …
HALO, an open-source tool for debugging and optimizing AI agents using execution traces, has been released. It uses a Recursive Language Model to analyze traces and find systemic issues, and can optio…
Arize AI released Project Rosetta Stone, a reference implementation that builds the same agent across 22+ frameworks with three observability tiers, enabling engineers to see exactly how to instrument…
SigNoz has released a new guide for enabling observability and monitoring in Python-based LlamaIndex applications using OpenTelemetry, allowing developers to trace AI-specific operations such as docum…
Phoenix, an open-source AI observability project, crossed 10,000 GitHub stars after growing from a Jupyter notebook extension in 2023 into a widely adopted platform for monitoring AI applications. The…
A developer built a cost-attribution system for LLM usage by tagging every gateway span with `team.id`, `project.id`, and `feature.id` alongside OpenInference token-count attributes, shipping those sp…
At Microsoft Build, Microsoft Chief Product Officer for Responsible AI Sarah Bird announced the open trust stack for AI agents, centered on two new open-source projects: ASSERT for spec-driven evaluat…
OpenTelemetry, the vendor-neutral CNCF specification for observability data, is revealing significant gaps in monitoring AI agents and RAG applications, according to a DevOps.com report. Traditional l…
OpenObserve has introduced a monitoring solution for AI agents in production that relies on distributed tracing rather than logs, as a single user request can trigger ten or more internal operations a…
SigNoz has released a new guide for instrumenting LangChain and LangGraph AI agent workflows with OpenTelemetry, enabling real-time observability of agent reasoning steps, tool invocations, and model …