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10 pages in this section.
Learn observability basics with 9 Python examples. Capture prompts, responses, and token counts from Anthropic API calls for better monitoring.
Learn the mental model behind tracing agent spans, logging prompts, and alerting on cost anomalies in Claude-powered applications.
Emit OpenTelemetry spans for every model call and tool invocation in a Claude agent loop, so you can see latency and failure points across a multi-step run.
Build a structured log schema that captures the prompt, response, token counts, model, latency, and request ID for every Claude API call.
A checklist for tying a spike in Claude call latency, error rate, or refusals back to your last deploy instead of treating it as a mystery.
A checklist of best practices for instrumenting Claude applications so cost and reliability issues surface early instead of at the end of a billing cycle.
A single-page roundup of every highlight bullet from the 9 pages in the Observability section, grouped by source page so you can scan all 32 takeaways without opening each article individually.