arize-instrumentation
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.
- Version
- 1.0
- Compatibility
- Python and TypeScript/JavaScript apps use openinference-instrumentation packages for auto-instrumentation. Go apps use arize-otel-go for setup plus per-provider instrumentors openinference-instrumentation-openai-go (official openai/openai-go SDK) and openinference-instrumentation-anthropic-sdk-go (anthropics/anthropic-sdk-go), or manual spans via openinference-semantic-conventions. Java apps use the OpenTelemetry SDK with manual OpenInference spans. See https://arize.com/docs/PROMPT.md for setup details.
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/arize-instrumentation/SKILL.md
- skills/arize-instrumentation/LICENSE
- skills/arize-instrumentation/references/ax-profiles.md
- skills/arize-instrumentation/references/integration-routing.md
- skills/arize-instrumentation/references/manual-spans.md
- skills/arize-instrumentation/references/tracing-assistant-mcp.md
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