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fix(bedrock): keep tool calls and finish reason on streamed Nova invoke_model - #4631
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…ke_model For Nova, invoke_model_with_response_stream sends Converse-style events. StreamingWrapper._accumulate_events only read contentBlockDelta text, so: - a toolUse delta turned outputText into None and raised a TypeError that @dont_throw swallowed, and contentBlockStart toolUse blocks were stored raw and never reached the span. A streamed tool call showed up as a text part with null content. - messageStop is stored as stop_reason, but the amazon span code only read Titan's completionReason, so finish reasons were empty for every streamed Nova response. Accumulate toolUse blocks (start + input deltas) in both the sync and async wrappers, emit them as tool_call parts, and fall back to stop_reason for the finish reason. The tool-call part conversion is shared with the Converse streaming path. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Check name Status Explanation Description Check Check skipped - CodeRabbit’s high-level summary is enabled. Title check The title clearly and concisely describes the main change: preserving tool calls and finish reasons for streamed Nova invoke_model responses. Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request.
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Review comments at
@packages/opentelemetry-instrumentation-bedrock/opentelemetry/instrumentation/bedrock/streaming_wrapper.py:
- Around line 100-102: Update the streaming accumulation around
self._accumulating_body to retain text and tool-call blocks in response order,
using contentBlockIndex to associate each delta with its block. Ensure the
Amazon span mapper emits the accumulated parts in that order rather than placing
merged outputText before all tool_blocks.
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packages/opentelemetry-instrumentation-bedrock/opentelemetry/instrumentation/bedrock/span_utils.pypackages/opentelemetry-instrumentation-bedrock/opentelemetry/instrumentation/bedrock/streaming_wrapper.pypackages/opentelemetry-instrumentation-bedrock/tests/traces/cassettes/test_nova/test_nova_invoke_stream_tool_use.yamlpackages/opentelemetry-instrumentation-bedrock/tests/traces/test_aioboto3.pypackages/opentelemetry-instrumentation-bedrock/tests/traces/test_nova.py
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| self._accumulating_body.setdefault("tool_blocks", []).append( | ||
| {**tool_use, "input": ""} | ||
| ) |
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🗄️ Data Integrity & Integration | 🟠 Major | 🏗️ Heavy lift
Preserve content-block order when accumulating tool calls.
If Nova emits text between two tool calls, both accumulators retain the tool calls in tool_blocks but merge all text into outputText. The Amazon span mapper then places that merged text before both tool calls. The exported message no longer represents the response order. Retain ordered content blocks, using contentBlockIndex to associate deltas with their blocks, and emit parts in that order. AWS documents multiple tool calls and content-block indices. (docs.aws.amazon.com)
Also applies to: 200-202
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Review comment at
@packages/opentelemetry-instrumentation-bedrock/opentelemetry/instrumentation/bedrock/streaming_wrapper.py
around lines 100 - 102:
Update the streaming accumulation around self._accumulating_body to retain text
and tool-call blocks in response order, using contentBlockIndex to associate
each delta with its block. Ensure the Amazon span mapper emits the accumulated
parts in that order rather than placing merged outputText before all
tool_blocks.
After applying the fix, consider running `coderabbit review --agent` for local
review. Visit https://docs.coderabbit.ai/cli?utm_source=ghpr
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This follows the Converse streaming path, which already emits the joined text before the tool calls (set_converse_streaming_response_span_attributes). Keeping each block in stream order would change both paths, so I would rather do it in a separate PR if you want it.
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@pcbeingused333 Thanks for clarifying. This matches the existing set_converse_streaming_response_span_attributes behavior, so I agree that preserving content-block order belongs in a separate PR covering both paths. The ordering concern remains valid, but it should not block this fix.
Would you like me to open a follow-up issue?
✏️ Learnings added
Learnt from: pcbeingused333
Repo: traceloop/openllmetry PR: 4631
File: packages/opentelemetry-instrumentation-bedrock/opentelemetry/instrumentation/bedrock/streaming_wrapper.py:100-102
Timestamp: 2026-10-18T05:37:44.101Z
Learning: In packages/opentelemetry-instrumentation-bedrock/opentelemetry/instrumentation/bedrock/span_utils.py, set_converse_streaming_response_span_attributes emits joined text before tool calls. The Nova invoke_model streaming path follows this existing convention. Changes to preserve content-block order should cover both paths consistently.
Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.
You are interacting with an AI system.
For Nova models,
invoke_model_with_response_streamsends Converse-style events (contentBlockStart,contentBlockDelta,messageStop,metadata).StreamingWrapper._accumulate_eventsonly handles text deltas, so a streamed Nova response loses two things on the span:contentBlockDeltawithtoolUsemakesoutputTextNoneand then raisesTypeErroronNone += str.@dont_throwswallows that.contentBlockStartis stored raw and never read.gen_ai.output.messages = [{"role": "assistant", "parts": [{"type": "text", "content": null}], "finish_reason": ""}]for a response that was a singleget_weathercall.messageStopis stored asstop_reason, but the amazon branches inspan_utils.pyread only Titan'scompletionReason. Sogen_ai.response.finish_reasonsis unset and the output message hasfinish_reason: ""for every streamed Nova response, text or tool.Token usage was already right (read from
metadata.usage). Non-streamed Novainvoke_modelgoes through the"output"branch and isn't affected.No issue exists for this. It's separate from #4560, which covers Anthropic
input_json_deltain_process_eventin the same file.Changes
streaming_wrapper.py(sync and async_accumulate_events): collecttoolUseblocks fromcontentBlockStartand append theirinputdeltas. Text deltas are accumulated as before. This mirrors what theconverse_streamhandler in__init__.pyalready does.span_utils.py:tool_callpart per block.stop_reasonwhencompletionReasonis absent._streamed_tool_call_part, which is now shared withset_converse_streaming_response_span_attributes.Tests
test_nova_invoke_stream_tool_use(new, with cassette). It's a realamazon.nova-lite-v1:0stream with aget_weathertool: 43 content blocks (the<thinking>text, one token per block, then the toolUse),stopReason: tool_use. It asserts the text part, thetool_callpart with parsed arguments, and finish reasontool_call.test_nova_invoke_stream: now also asserts finish reasonstop. Its existing cassette already ends withmessageStop: end_turn.test_aioboto3_invoke_stream_tool_use(new): the same check for the async wrapper, using a mocked stream like the rest oftest_aioboto3.py.The new cassette's only interaction is the
invoke-with-response-streamcall. It has no Authorization or signature headers (the request used a Bedrock API key, andauthorizationis infilter_headers).feat(instrumentation): ...orfix(instrumentation): ....🤖 Generated with Claude Code
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