Pydantic AI Observability: Monitor Validation, Retries, and Outcomes
Instrument Pydantic AI with Agnost and distinguish schema-valid output from correct results. Diagnose validation retries, tool failures, and missing conversation context.
11 stories
Instrument Pydantic AI with Agnost and distinguish schema-valid output from correct results. Diagnose validation retries, tool failures, and missing conversation context.
Export Mastra traces to Agnost, preserve user and conversation identity, and diagnose tool failures, workflow bottlenecks, and duplicated request counts.
Instrument CrewAI with Agnost, separate crew completion from task success, and diagnose delegation loops, slow tools, missing traces, and repeated work.
Monitor Photon Spectrum agents with Agnost using a real spectrum-ts message handler. Reproduce a failed send and retry, inspect captured events, and preserve conversation identity.
Track DSPy module calls with Agnost, separate optimizer traffic from users, and diagnose regressions across program versions, retrieval, caching, and model changes.
Connect VoltAgent to Agnost using OpenTelemetry, preserve conversation identity, and investigate delegated work, tool results, latency, and real completion.
Monitor LangChain agents with Agnost, diagnose retrieval and tool failures, preserve conversation identity, and measure outcomes beyond a successful invocation.
Track OpenAI Agents SDK runs with Agnost. Understand handoffs, guardrails, tool failures, streaming completion, and the difference between execution and user success.
Add Agnost monitoring to Agno agents. Track sessions and team runs, diagnose routing and memory problems, and distinguish member activity from user outcomes.
Instrument Vercel AI SDK with Agnost and OpenTelemetry. Separate first-token latency, completion, cancellation, tool execution, and actual user outcomes.
A practical guide to LangGraph monitoring with Agnost: preserve thread identity, distinguish paused runs from failures, and diagnose loops and repeated actions.
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