Agent Tracing 101: Spans, Sessions, and the Hidden Failure Modes They Reveal
Tracing fundamentals for production AI agents — span hierarchy, session correlation, and the failure patterns that only show up when you trace every step.
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From the blog
Tracing fundamentals for production AI agents — span hierarchy, session correlation, and the failure patterns that only show up when you trace every step.
Stop the agent BEFORE it does the wrong thing. How to wire input and output guardrails in the OpenAI Agents SDK with cheap classifiers and an eval suite that proves they work.
How to stream tokens, tool-call deltas, and intermediate steps from an agent — with code for both the OpenAI Agents SDK and LangChain — and the gotchas that bite in production.
Where agentic AI in banking is heading next, from longer-running agents to agent-to-agent MCP workflows, and how to prepare your team now.
Eval pass rate, override rate, citation validity, cycle time, and cost per case: the metrics that prove a Claude agent works in banking and fintech.
A realistic step-by-step build of a Claude exception-triage agent for lenders, from messy problem to shipped, audited, monitored outcome.
Failure modes, blast radius, and containment patterns for deploying Claude agents safely across banking, lending, and fintech workflows.
The concrete skills, new roles, and retraining tracks financial-services teams need to deploy Claude agents that actually ship and pass audit.
Quantization: How to Choose the Right Precision for LLM Inference
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