feat(anthropic): emit gen_ai.usage.reasoning_tokens from extended thinking - #4462
feat(anthropic): emit gen_ai.usage.reasoning_tokens from extended thinking#4462dharaneeshexe-web wants to merge 3 commits into
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…nking Anthropic's API reports thinking/reasoning usage under usage.output_tokens_details.reasoning_tokens for models with extended thinking enabled, but the instrumentation never read it, so reasoning tokens were invisible to cost/reasoning-ratio consumers while every other provider path (OpenAI chat + responses, Vertex AI) emits them. Add extraction to the sync and async non-streaming _set_token_usage paths, and to the streaming path (message_delta merge + attribute emit), matching the OpenAI package's SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS. Tests use synthetic usage objects so no cassette/API is needed. Fixes traceloop#4458
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Included review availability: Your plan provides up to 8 included reviews per hour; 7 remain after this review. 📝 WalkthroughWalkthroughThe Anthropic instrumentation extracts reasoning token counts from direct and streaming responses. Streaming accumulation retains the latest cumulative reasoning token value. Tests cover synchronous, asynchronous, non-streaming, and streaming paths. ChangesAnthropic reasoning usage
Priority: ➖ Normal Estimated code review effort: 2 (Simple) | ~10 minutes Change: Feature · Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant AnthropicResponse
participant AnthropicInstrumentation
participant TelemetrySpan
AnthropicResponse->>AnthropicInstrumentation: Provide usage details
AnthropicInstrumentation->>TelemetrySpan: Record reasoning token count
Merge Risk: ⚪ Minimal · up to The reasoning-token telemetry is covered across synchronous, asynchronous, and streaming paths, with omitted-details and cumulative streaming behavior tested. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In
`@packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/streaming.py`:
- Around line 78-81: Update _process_response_item so reasoning_tokens uses the
latest cumulative message_delta.usage value instead of adding it to
existing_reasoning_details. Add a test covering at least two message_delta
events and verify SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS matches the
latest reported count.
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packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/__init__.pypackages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/streaming.pypackages/opentelemetry-instrumentation-anthropic/tests/test_reasoning_usage.py
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Anthropic reports message_delta.usage cumulatively, so summing reasoning tokens across chunks overcounts. Take the latest cumulative value instead and cover two message_delta events in the unit test.
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Addressed CodeRabbit's finding: Anthropic's \message_delta.usage\ is cumulative, so the streaming merge was overcounting reasoning tokens by summing across chunks. Now _process_response_item\ keeps the latest cumulative value, and the unit test exercises two \message_delta\ events (15 then 27) asserting the final count stays 27 (not 42). Note the pre-existing \output_tokens\ summation is left untouched as out of scope. |
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What changed
Anthropic's API reports thinking/reasoning usage under
usage.output_tokens_details.reasoning_tokensfor models with extended thinking enabled, but the Anthropic instrumentation never read it. As a result reasoning tokens were invisible to token-usage consumers while every other provider path (OpenAI chat + responses, Vertex AI) already emitsgen_ai.usage.reasoning_tokens.This PR mirrors the existing OpenAI path (
SpanAttributes.GEN_AI_USAGE_REASONING_TOKENS):__init__.py: new_get_reasoning_tokens_from_usage()helper used by both_aset_token_usage(async) and_set_token_usage(sync).streaming.py:_process_response_itemnow merges reasoning tokens acrossmessage_deltachunks (matching howoutput_tokensis summed), and streaming_set_token_usageemits the reasoning attribute.The helper is
getattr-based because the pinnedanthropicSDK'sUsagemodel does not exposeoutput_tokens_detailsyet, even though the API returns it.Testing
tests/test_reasoning_usage.py(5 tests) covers sync, async, no-details omission, streaming chunk merge, and streaming attribute emit. Uses synthetic usage objects — no cassette/API needed.uv run pytest tests/test_reasoning_usage.py→ 5 passed.uv run ruff checkclean on all touched files.mainwithout this change (cross-test cassette interference, unrelated to reasoning tokens).Fixes #4458
Summary by CodeRabbit
New Features
Bug Fixes