September 2026 Summaries

Confident AI has introduced confident-trace, a lightweight Python and TypeScript SDK for production monitoring of AI agents that replaces DeepEval as the recommended tracing option while leaving DeepEval focused on evaluation workflows. Built on OpenTelemetry, the SDK captures agent operations, model calls, tool use, and custom application code as spans, exporting them through OTLP directly to Confident AI or via an OpenTelemetry Collector. It offers automatic and custom instrumentation across 25 integrations, including LangChain, LangGraph, Pydantic AI, Vercel AI SDK, and Mastra, with optional framework-specific dependencies. The company presents a Pydantic AI quickstart and describes how production traces can help teams diagnose agent failures, convert real interactions into evaluation test cases, and validate improvements.