“observability”
LLM Gateways: Unified Routing, Quotas, and Observability for AI Traffic
Deploy an LLM gateway to unify routing, quotas, and observability across your AI infrastructure. Learn to set up LiteLLM as a production gateway for 100+ LLM providers.
Agent Tracing and Observability: Debugging Every Decision
Master built-in tracing in the OpenAI Agents SDK to debug, visualize, and monitor agent workflows. Learn to create traces, spans, and custom processors for production observability.
Observability for Web Apps: RUM and Error Tracking
A practical guide to real user monitoring and error tracking for web apps — measuring Core Web Vitals, capturing console, page, and network errors, and shipping batched telemetry to your own analytics backend.
Cost Monitoring for Production LLM Applications
Stop guessing what your LLM app costs. Learn how to capture token usage, attribute spend per user and feature, set budget alerts, and build a cost dashboard that scales.
The Agent Auditor: Observability and Compliance for Gemini 3 Workflows
When agents act autonomously, who audits their decisions? Build an Agent Auditor that records, replays, and validates every Gemini 3 workflow step for observability and compliance.
Observability for Agents: Tracing Tool Calls and Reasoning
An agent is a loop, not a single API call. Instrument it with OpenTelemetry AGENT/LLM/TOOL spans and a shared trace_id so you can attribute bad reasoning, slow dependencies, and tool failures.
The Self-Improving Codebase: Gemini 3 Agents that Refactor Based on Performance Logs
Self-improving agents edit their own harness based on mined execution traces. Learn the mine-propose-validate loop with Gemini 3 and strict regression gates.
The "Audit Log" Pattern: Forensic Analysis of Gemini 3 Reasoning Chains
Debugging agents means auditing reasoning, not stack traces. Build a tamper-evident audit log of Gemini 3 reasoning chains for forensics and compliance.
End-to-End OpenTelemetry Tracing for ADK Agents
Instrument Google ADK agent harnesses with OpenTelemetry to capture full-trajectory execution traces, tool latencies, and token metrics.
Monitoring ADK Agent Fleets with BigQuery Analytics
Learn how to stream structured telemetry from your Google ADK agent fleets into BigQuery for SQL-based cost tracking, latency analysis, and quality evaluation.
MLflow Observability for Google ADK
Learn how to use MLflow Tracing to observe and debug Google ADK agents and tools using OpenTelemetry.