Observability

MCP Tool Calling at Scale: Cutting Token Cost

Claude Code Monitoring: How to Track Coding Agents

TL;DR * Coding agents authenticate directly to a model provider by default, so a team running Claude Code and Cursor has no single place where usage, cost, or prompts can be read. * Routing coding agents through an AI gateway makes every request observable without installing anything on a developer'

LLM Observability at the Gateway: What to Measure, and Where

LLM Observability at the Gateway: What to Measure, and Where

A guide to LLM observability at the gateway, covering the signals to instrument and how to export them to Prometheus, OpenTelemetry or Datadog.

What Is AI Observability? A Platform Buyer's Guide

What Is AI Observability? A Platform Buyer's Guide

A buyer's guide to AI observability, covering what a platform captures for AI agents and eight criteria for evaluating one.

AI Observability Platform for Monitoring LLM Costs

AI Observability Platform for Monitoring LLM Costs

A guide to monitoring LLM costs with an AI observability platform, covering the cost signals to track and how to turn them into budgets.

LLM Observability with Prometheus: Metrics and Dashboards

LLM Observability with Prometheus: Metrics and Dashboards

A guide to LLM observability with Prometheus, covering the metrics that matter, scraping the gateway and building Grafana dashboards.

Comparison of five AI observability platforms for LLM visibility, with Maxim AI ranked first

Top AI Observability Platforms for LLM Visibility

Maxim AI, LangSmith, Langfuse, Datadog and Arize Phoenix compared on deployment, distributed tracing, evaluations and agent simulation.

AI Observability Explained: What It Is and How It Works

AI Observability Explained: What It Is and How It Works

TL;DR * AI observability is the practice of understanding an AI system's behavior from the telemetry it emits: the traces, metrics, and logs produced by every model request. * The three signals that make an LLM application observable are distributed traces (what happened on each request), metrics (aggregate latency,