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Clarify responses API streaming context
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1 changed files with 14 additions and 0 deletions
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@ -2005,6 +2005,10 @@ class BaseLLMHTTPHandler:
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"""
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Handles responses API requests.
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When _is_async=True, returns a coroutine instead of making the call directly.
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Keeps the pre-transform request context for streaming so post-call hooks/metadata
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(added for Responses API parity with chat) receive the original params instead of
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the provider-shaped body that caused them to be skipped before.
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"""
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if _is_async:
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@ -2061,11 +2065,16 @@ class BaseLLMHTTPHandler:
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if extra_body:
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data.update(extra_body)
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# Preserve the OpenAI-style request context (not sent to the provider) for streaming
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# hooks/metadata; the streaming iterator now consumes this to run deployment hooks
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# with the same info as chat, including litellm_params.
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request_context: Dict[str, Any] = {"input": input}
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try:
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request_context.update(response_api_optional_request_params)
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except Exception:
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pass
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# Needed by streaming callbacks/metadata helpers to reconstruct api_base/model_id
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# but never included in the outbound provider payload.
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request_context["litellm_params"] = dict(litellm_params)
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## LOGGING
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@ -2201,11 +2210,16 @@ class BaseLLMHTTPHandler:
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if extra_body:
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data.update(extra_body)
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# Preserve the OpenAI-style request context (not sent to the provider) for streaming
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# hooks/metadata; the streaming iterator now consumes this to run deployment hooks
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# with the same info as chat, including litellm_params.
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request_context: Dict[str, Any] = {"input": input}
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try:
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request_context.update(response_api_optional_request_params)
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except Exception:
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pass
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# Needed by streaming callbacks/metadata helpers to reconstruct api_base/model_id
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# but never included in the outbound provider payload.
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request_context["litellm_params"] = dict(litellm_params)
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## LOGGING
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