telemetry.dev
Trace model calls, tool steps, and costs across AI-agent runs
Understand internal system behavior through outputs such as logs, metrics, traces, and operational events.
Trace model calls, tool steps, and costs across AI-agent runs
Turn production issues into reviewed code fixes
Build and operate AI workflows with evaluation and governance
Ask engineering questions across connected code and incident tools
Monitor model requests and review ways to reduce LLM operating costs.
Understand how your team uses AI coding agents
Route, inspect, and monitor requests across AI applications
Use infrastructure-aware AI agents for DevOps investigations and changes
Trace agent runs and validate reusable fixes for failures
Understand AI coding sessions, costs, and team workflows
Build, evaluate, observe, and deploy AI agent workflows
Route and monitor model inference with provider and budget controls
Connect production telemetry and incident response with AI-assisted investigation
Analyze AI agent behavior alongside data in your warehouse
Find recurring AI-agent failures in conversations and traces
Inspect coding-agent traces, token usage, and execution costs
Combine AI traces with logs, metrics, and application observability
Reduce agent context size and inspect model usage costs
Observe, evaluate, and govern AI agent activity
Measure AI inference quality, usage, and failures across deployment options