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style: format responses streaming iterator and tests with ruff
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2 changed files with 45 additions and 72 deletions
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@ -1100,8 +1100,8 @@ class LiteLLMCompletionStreamingIterator(ResponsesAPIStreamingIterator):
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try:
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built = stream_chunk_builder(chunks=chunks)
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if built and built.choices and hasattr(built.choices[0], "message"):
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self._cached_encrypted_reasoning_content = (
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LiteLLMCompletionResponsesConfig._encode_thinking_blocks(built.choices[0].message)
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self._cached_encrypted_reasoning_content = LiteLLMCompletionResponsesConfig._encode_thinking_blocks(
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built.choices[0].message
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)
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return self._cached_encrypted_reasoning_content
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except Exception:
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@ -35,9 +35,7 @@ from litellm.types.utils import (
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)
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CHAT_COMPLETION_ID = "chatcmpl-77d33d09-effa-4cd2-9c0d-c742d4358256"
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RESPONSE_ID_EVENT_TYPES = frozenset(
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{"response.created", "response.in_progress", "response.completed"}
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)
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RESPONSE_ID_EVENT_TYPES = frozenset({"response.created", "response.in_progress", "response.completed"})
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def _chunk(content: str, finish_reason: str | None = None) -> ModelResponseStream:
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@ -90,11 +88,7 @@ def _build_iterator(chunks) -> LiteLLMCompletionStreamingIterator:
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def _response_ids(events) -> list[str]:
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return [
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event.response.id
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for event in events
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if getattr(event, "type", None) in RESPONSE_ID_EVENT_TYPES
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]
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return [event.response.id for event in events if getattr(event, "type", None) in RESPONSE_ID_EVENT_TYPES]
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def test_tool_call_delta_is_emitted_as_responses_events():
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@ -225,9 +219,7 @@ async def test_web_search_stream_preserves_hosted_and_client_calls(sync_mode, to
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content=None,
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provider_specific_fields={
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"web_search_results": [first_result],
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"web_search_calls": [
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build_web_search_call(call_ids[0], {"query": "one"}, first_result)
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]
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"web_search_calls": [build_web_search_call(call_ids[0], {"query": "one"}, first_result)]
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if tool_type != "function" and first_result["type"] == "web_search_tool_result"
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else [],
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},
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@ -326,9 +318,7 @@ async def test_web_search_stream_preserves_hosted_and_client_calls(sync_mode, to
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assert {event["output_index"] for event in search_events} == {completed_indexes[item["id"]]}
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assert search_events[0]["item"]["status"] == "in_progress"
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assert search_events[-1]["item"] == item
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assert item["status"] == (
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"failed" if result_kind == "error" and call_id.endswith("01Search") else "completed"
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)
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assert item["status"] == ("failed" if result_kind == "error" and call_id.endswith("01Search") else "completed")
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assert item["action"]["type"] == "search"
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assert item["action"]["query"] == ("one" if call_id.endswith("01Search") else "two")
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assert item["action"]["queries"] == [item["action"]["query"]]
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@ -437,9 +427,7 @@ def test_tool_call_arguments_are_chunked_to_match_openai_behavior():
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)
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# Create a chunk with a large arguments string that should be split
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large_arguments = (
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'{"param1": "value1", "param2": "value2", "param3": "value3"}' # 67 chars
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)
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large_arguments = '{"param1": "value1", "param2": "value2", "param3": "value3"}' # 67 chars
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chunk = ModelResponseStream(
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id="chunk-1",
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created=123,
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@ -494,9 +482,7 @@ def test_tool_call_arguments_are_chunked_to_match_openai_behavior():
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# Keep draining pending events (expected: ceil(67 / 10) = 7 delta events)
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while iterator._pending_tool_events:
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evt = iterator._transform_chat_completion_chunk_to_response_api_chunk(
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empty_chunk
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)
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evt = iterator._transform_chat_completion_chunk_to_response_api_chunk(empty_chunk)
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if evt and evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA:
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delta_events.append(evt)
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@ -549,20 +535,12 @@ def test_tool_call_delta_without_id_uses_index_mapping():
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while iterator._pending_tool_events:
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all_events.append(iterator._pending_tool_events.pop(0))
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delta_events = [
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evt
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for evt in all_events
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if evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA
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]
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delta_events = [evt for evt in all_events if evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA]
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streamed_arguments = "".join(evt.delta for evt in delta_events)
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assert streamed_arguments == '{"location": "New York"}'
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output_item_added_events = [
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evt
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for evt in all_events
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if evt.type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED
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]
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output_item_added_events = [evt for evt in all_events if evt.type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED]
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assert len(output_item_added_events) == 1
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assert output_item_added_events[0].item.id == "fc_call_abc123"
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assert output_item_added_events[0].item.call_id == "call_abc123"
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@ -603,18 +581,10 @@ def test_parallel_tool_calls_without_ids_use_index_mapping():
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while iterator._pending_tool_events:
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all_events.append(iterator._pending_tool_events.pop(0))
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output_item_added_events = [
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evt
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for evt in all_events
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if evt.type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED
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]
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output_item_added_events = [evt for evt in all_events if evt.type == ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED]
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assert len(output_item_added_events) == 2
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delta_events = [
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evt
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for evt in all_events
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if evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA
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]
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delta_events = [evt for evt in all_events if evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA]
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arguments_by_call_id = {}
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for evt in delta_events:
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arguments_by_call_id.setdefault(evt.item_id, "")
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@ -667,11 +637,7 @@ def test_reused_index_with_new_call_id_marks_fallback_ambiguous():
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while iterator._pending_tool_events:
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all_events.append(iterator._pending_tool_events.pop(0))
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delta_events = [
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evt
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for evt in all_events
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if evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA
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]
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delta_events = [evt for evt in all_events if evt.type == ResponsesAPIStreamEvents.FUNCTION_CALL_ARGUMENTS_DELTA]
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arguments_by_call_id = {}
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for evt in delta_events:
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arguments_by_call_id.setdefault(evt.item_id, "")
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@ -711,22 +677,17 @@ def test_sync_streaming_events_share_the_chat_completion_response_id():
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assert len(response_ids) == 3
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assert len(set(response_ids)) == 1
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assert (
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ResponsesAPIRequestUtils.decode_responses_api_response_id(response_ids[0])["response_id"]
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== CHAT_COMPLETION_ID
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ResponsesAPIRequestUtils.decode_responses_api_response_id(response_ids[0])["response_id"] == CHAT_COMPLETION_ID
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)
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@pytest.mark.asyncio
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async def test_streaming_emits_every_chunk_after_priming_the_response_id():
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iterator = _build_iterator(
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[_chunk("Hel"), _chunk("lo"), _chunk("!", finish_reason="stop")]
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)
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iterator = _build_iterator([_chunk("Hel"), _chunk("lo"), _chunk("!", finish_reason="stop")])
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events = [event async for event in iterator]
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deltas = "".join(
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event.delta for event in events if getattr(event, "type", None) == "response.output_text.delta"
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)
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deltas = "".join(event.delta for event in events if getattr(event, "type", None) == "response.output_text.delta")
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assert deltas == "Hello!"
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@ -772,7 +733,9 @@ async def test_leading_empty_choices_chunk_does_not_kill_the_stream():
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event_types = [getattr(event, "type", None) for event in events]
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assert event_types.count(ResponsesAPIStreamEvents.OUTPUT_ITEM_ADDED) == 1
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assert "".join(event.delta for event in events if event.type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA) == "Hello!"
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assert (
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"".join(event.delta for event in events if event.type == ResponsesAPIStreamEvents.OUTPUT_TEXT_DELTA) == "Hello!"
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)
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assert event_types[-1] == ResponsesAPIStreamEvents.RESPONSE_COMPLETED
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@ -956,9 +919,7 @@ def test_streamed_unrecognized_tool_choice_is_echoed_as_auto() -> None:
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litellm_metadata={},
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)
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response_events: Final = [
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event for event in iterator if getattr(event, "type", None) in RESPONSE_ID_EVENT_TYPES
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]
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response_events: Final = [event for event in iterator if getattr(event, "type", None) in RESPONSE_ID_EVENT_TYPES]
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assert [event.response.tool_choice for event in response_events] == ["auto", "auto", "auto"]
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@ -999,9 +960,7 @@ def _signed_thinking_and_text_in_one_chunk() -> tuple[ModelResponseStream, ...]:
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chunk: Final = _chunk("Hello!", finish_reason="stop")
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signed_block: Final = {"type": "thinking", "thinking": "", "signature": "sig_only"}
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delta: Final = Delta(**{**chunk.choices[0].delta.model_dump(), "thinking_blocks": [signed_block]})
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return (
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chunk.model_copy(update={"choices": [StreamingChoices(index=0, delta=delta, finish_reason="stop")]}),
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)
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return (chunk.model_copy(update={"choices": [StreamingChoices(index=0, delta=delta, finish_reason="stop")]}),)
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StreamChunks = Callable[[], tuple[ModelResponseStream, ...]]
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@ -1421,9 +1380,7 @@ async def test_anthropic_tool_search_call_streams_as_tool_search_call_item(sync_
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model="claude-sonnet-5-5",
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object="chat.completion.chunk",
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choices=[
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StreamingChoices(
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index=0, delta=delta, finish_reason="tool_calls" if index == len(deltas) - 1 else None
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)
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StreamingChoices(index=0, delta=delta, finish_reason="tool_calls" if index == len(deltas) - 1 else None)
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],
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)
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for index, delta in enumerate(deltas)
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@ -1551,10 +1508,15 @@ async def test_reasoning_output_item_done_carries_encrypted_content_and_status(s
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assert len(reasoning_done_events) == 1
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reasoning_item: Final = reasoning_done_events[0].item
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assert getattr(reasoning_item, "status", None) == "completed"
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assert getattr(reasoning_item, "encrypted_content", None) == '[{"type":"thinking","thinking":"Let me think","signature":"sig_abc123"}]'
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assert (
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getattr(reasoning_item, "encrypted_content", None)
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== '[{"type":"thinking","thinking":"Let me think","signature":"sig_abc123"}]'
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)
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# Verify response.completed carries the exact same encrypted_content and id
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completed_event: Final = next(e for e in events if getattr(e, "type", None) == ResponsesAPIStreamEvents.RESPONSE_COMPLETED)
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completed_event: Final = next(
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e for e in events if getattr(e, "type", None) == ResponsesAPIStreamEvents.RESPONSE_COMPLETED
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)
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completed_reasoning: Final = next(item for item in completed_event.response.output if item.type == "reasoning")
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assert completed_reasoning.id == getattr(reasoning_item, "id", None)
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assert completed_reasoning.status == "completed"
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@ -1569,13 +1531,22 @@ async def test_reasoning_output_item_done_encrypted_content_incremental_stream(s
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encrypted_content on output_item.done.
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"""
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chunk1: Final = _chunk("", finish_reason=None)
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delta1: Final = Delta(**{**chunk1.choices[0].delta.model_dump(), "thinking_blocks": [{"type": "thinking", "thinking": "Step 1 "}]})
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delta1: Final = Delta(
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**{**chunk1.choices[0].delta.model_dump(), "thinking_blocks": [{"type": "thinking", "thinking": "Step 1 "}]}
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)
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chunk2: Final = _chunk("", finish_reason=None)
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delta2: Final = Delta(**{**chunk2.choices[0].delta.model_dump(), "thinking_blocks": [{"type": "thinking", "thinking": "Step 2"}]})
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delta2: Final = Delta(
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**{**chunk2.choices[0].delta.model_dump(), "thinking_blocks": [{"type": "thinking", "thinking": "Step 2"}]}
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)
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chunk3: Final = _chunk("Hello!", finish_reason="stop")
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delta3: Final = Delta(**{**chunk3.choices[0].delta.model_dump(), "thinking_blocks": [{"type": "thinking", "thinking": "", "signature": "sig_done"}]})
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delta3: Final = Delta(
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**{
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**chunk3.choices[0].delta.model_dump(),
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"thinking_blocks": [{"type": "thinking", "thinking": "", "signature": "sig_done"}],
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}
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)
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chunks: Final = (
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chunk1.model_copy(update={"choices": [StreamingChoices(index=0, delta=delta1, finish_reason=None)]}),
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@ -1594,7 +1565,10 @@ async def test_reasoning_output_item_done_encrypted_content_incremental_stream(s
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assert len(reasoning_done_events) == 1
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reasoning_item: Final = reasoning_done_events[0].item
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assert getattr(reasoning_item, "status", None) == "completed"
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assert getattr(reasoning_item, "encrypted_content", None) == '[{"type":"thinking","thinking":"Step 1 Step 2","signature":"sig_done"}]'
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assert (
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getattr(reasoning_item, "encrypted_content", None)
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== '[{"type":"thinking","thinking":"Step 1 Step 2","signature":"sig_done"}]'
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)
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@pytest.mark.parametrize("sync_mode", [True, False])
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@ -1617,4 +1591,3 @@ async def test_reasoning_output_item_done_without_signed_thinking_omits_encrypte
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reasoning_item: Final = reasoning_done_events[0].item
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assert getattr(reasoning_item, "status", None) == "completed"
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assert getattr(reasoning_item, "encrypted_content", None) is None
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