tracing

The author created an open-source build profiler called buildprof to visualize where time is spent during software compilation on Linux, motivated by Bun's compile time improvements.

The article highlights the Python package 'wrapture' as an indispensable tool for monkey patching, testing, and observability, with growing tutorials and potential despite being in alpha.

A user discusses strategies to debug AI agent systems in production where all indicators show success but outcomes are incorrect, seeking community advice on evidence and methods for diagnosis.

ArizePhoenix has released an update that automatically searches for duplicates, drafts GitHub issues with linked traces and spans, and uses a secure browser-based GitHub token for filing.

LangChain Academy introduces a free course on LangSmith Essentials to teach the essentials of the LangSmith platform for agent engineering, including tracing, debugging, and deployments.

Introducing wrapture, a new Python library for monkeypatching, testing, and tracing with OpenTelemetry support, entirely AI-assisted in its development.

Epiq is a distributed, Git-native issue tracker that can replay state on demand to audit and trace agentic workflows, addressing key challenges in multi-agent environments.

LangSmith revealed that PodiumHQ's AI agents were acting rationally based on context, contrary to initial perceptions of being broken. Principal Software Engineer Walker Ward discusses tracing agent reasoning end to end.

The article explores an early concept called agentuptime, which addresses verifying AI agent actions by independently checking outcomes to ensure that an agent's completion claim matches the actual state of external systems.

TraceMotive v0.2.0, a local AI-agent debugging tool, has been released with improvements like persistent storage, one-command startup, and trace comparison features, addressing feedback from the initial version.

OpenObserve is an open-source observability platform built in Rust that supports logs, metrics, distributed tracing, and RUM. Its storage cost is 140x lower than Elasticsearch, it can be deployed as a single file, and it serves as an open-source alternative to Datadog.

Alan Maguire led a session at the Linux Storage, Filesystem, Memory-Management, and BPF Summit proposing additions to BTF to store information about inlined functions, enabling kernel tracing of such functions via kprobes.

Argues that the choice of AI agent framework (LangGraph, CrewAI, etc.) matters less than evals, tracing, and guardrails for production reliability, offering practical advice for developers building agent stacks.

Progress AI Observability is a product for tracing, evaluating, and improving AI agents in production.

Future AGI is an open-source platform combining evaluations, tracing, simulations, guardrails, and optimization to help teams ship self-improving AI agents, with a nightly release available for early testing.

Google Devs shares how to use Google ADK, Gemini Live, and LangSmith to build voice agents with full traceability of interactions, including tool calls and token costs.

TraceLLM brings OpenTelemetry-style observability to production AI applications, enabling tracing and monitoring for LLM-based systems.

A tutorial by Darsh on how to trace and monitor local AI agents using LangSmith, LangChain, Ollama, and Qwen, enabling inspection of model and tool calls, latency, and usage.

LangSmith officially launched Python-side voice tracing support, covering four mainstream frameworks: Pipecat, LiveKit, OpenAI Realtime, and Gemini Live. It brings voice conversations into the same observable, evaluable workflow as text agents, solving the pain point of poor debuggability in voice agents.

LangChain launches LangSmith tracing for voice frameworks (Pipecat, LiveKit, OpenAI Realtime, Gemini Live), enabling full audio monitoring, STT/TTS latency tracking, interruption detection, and VAD analysis with minimal code.