Results for “agent-tracing”

Debug agent execution by querying trace and metric tables, analyzing tool calls, durations, errors, and performance trends.

Investigates slow responses, tool failures, and guardrail rejections by querying agent trace logs and performance metrics.

Debug and modify agent streaming behavior, covering SSE and plain-text transports, ChatKit events, and session continuity.

Build or modify a RAG retrieval pipeline with vector store search, corpus routing, citation rendering, and book fidelity enforcement.

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

Compare coding agents head-to-head on reproducible tasks with pass rate, cost, time, and consistency metrics.

Designs or reviews Agentforce agent actions, covering Flow, Apex invocable, and prompt-template actions, including naming, input/output contracts, confirmation, and error behavior.

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.

Creates or modifies OpenAI Agents SDK tools with Zod parameters, caching, metrics, and agent registration, following established patterns and best practices.

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.