Open source · ObservabilityOpenTelemetry integrations
OpenTelemetry (OTel) is an open-source observability framework for collecting and exporting telemetry data such as metrics, logs and traces. These guides cover how AI coding agents expose their activity through OpenTelemetry and what engineering teams can learn from it.
Guides
AI coding agents
Claude Code OpenTelemetry
Metrics, events and traces available in Claude Code, how to configure telemetry and what to watch for on privacy.
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Gemini CLI OpenTelemetry
Metrics, logs and traces available in Gemini CLI, how to configure telemetry and what to watch for on privacy.
Read the guide
GitHub Copilot OpenTelemetry
Metrics, events and traces available for Copilot agents, how to configure the OTLP export and what to watch for on privacy.
Read the guide
Cursor OpenTelemetry
Metrics and logs exported by Cursor Enterprise, how to configure a destination and what teams can learn from the data.
Read the guide
Qwen Code OpenTelemetry
Metrics, logs and traces emitted by Qwen Code, how to enable OTLP export and what teams can learn from the data.
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OpenAI Codex OpenTelemetry
Metrics, events and traces emitted by Codex, the [otel] configuration and what teams can learn from the data.
Read the guide
Mistral Vibe OpenTelemetry
Vibe's OpenTelemetry tracing of agent, model and tool operations, OTLP export and redaction controls.
Read the guideMore integrations
Additional OpenTelemetry guides for other AI coding agents are on the way.