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@arizeai/openinference-instrumentation-claude-agent-sdk

v0.2.0

Published

OpenInference instrumentation for Claude Agent SDK

Downloads

3,350

Readme

OpenInference Instrumentation for Claude Agent SDK

OpenTelemetry-based instrumentation for the Claude Agent SDK (@anthropic-ai/claude-agent-sdk). Produces AGENT and TOOL spans following OpenInference semantic conventions.

Installation

npm install @arizeai/openinference-instrumentation-claude-agent-sdk

Usage

Auto-instrumentation (CommonJS)

import { NodeTracerProvider } from "@opentelemetry/sdk-trace-node";
import { ClaudeAgentSDKInstrumentation } from "@arizeai/openinference-instrumentation-claude-agent-sdk";

const provider = new NodeTracerProvider();
provider.register();

const instrumentation = new ClaudeAgentSDKInstrumentation();
instrumentation.setTracerProvider(provider);

Manual instrumentation (ESM)

import * as ClaudeAgentSDK from "@anthropic-ai/claude-agent-sdk";
import { ClaudeAgentSDKInstrumentation } from "@arizeai/openinference-instrumentation-claude-agent-sdk";

const instrumentation = new ClaudeAgentSDKInstrumentation({
  tracerProvider: provider,
});
instrumentation.manuallyInstrument(ClaudeAgentSDK);

With trace configuration (mask sensitive data)

const instrumentation = new ClaudeAgentSDKInstrumentation({
  tracerProvider: provider,
  traceConfig: {
    hideInputs: true,
    hideOutputs: true,
  },
});

Instrumented APIs

V1: query()

The query() function is wrapped to produce:

  • An AGENT span for the entire query lifecycle
  • TOOL child spans for each tool call (via hook injection)

V2 (unstable): unstable_v2_prompt(), unstable_v2_createSession(), unstable_v2_resumeSession()

  • unstable_v2_prompt() produces an AGENT span
  • Session methods produce per-turn AGENT spans with TOOL child spans

Span Attributes

AGENT spans

| Attribute | Description | | ---------------------------- | ---------------------- | | openinference.span.kind | "AGENT" | | input.value | Prompt text | | output.value | Result text | | session.id | SDK session identifier | | llm.model_name | Model used | | llm.token_count.prompt | Input token count | | llm.token_count.completion | Output token count | | llm.token_count.total | Total token count | | llm.cost.total | Total cost in USD |

TOOL spans

| Attribute | Description | | ------------------------- | -------------------- | | openinference.span.kind | "TOOL" | | tool.name | Tool name | | tool.parameters | Tool input (JSON) | | input.value | Tool input (JSON) | | output.value | Tool response (JSON) |