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Related to this https://github.com/hwchase17/langchain/issues/6225 Just copied the implementation from `generate` function to `agenerate` and tested it. Didn't run any official tests thought <!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes #6225 #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: @hwchase17, @agola11 <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 -->
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@ -386,16 +386,27 @@ class ChatOpenAI(BaseChatModel):
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inner_completion = ""
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role = "assistant"
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params["stream"] = True
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function_call: Optional[dict] = None
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async for stream_resp in await acompletion_with_retry(
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self, messages=message_dicts, **params
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):
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role = stream_resp["choices"][0]["delta"].get("role", role)
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token = stream_resp["choices"][0]["delta"].get("content", "")
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inner_completion += token
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inner_completion += token or ""
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_function_call = stream_resp["choices"][0]["delta"].get("function_call")
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if _function_call:
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if function_call is None:
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function_call = _function_call
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else:
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function_call["arguments"] += _function_call["arguments"]
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if run_manager:
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await run_manager.on_llm_new_token(token)
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message = _convert_dict_to_message(
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{"content": inner_completion, "role": role}
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{
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"content": inner_completion,
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"role": role,
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"function_call": function_call,
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}
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)
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return ChatResult(generations=[ChatGeneration(message=message)])
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else:
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