fix: Tokens cannot be obtained from the model dialogue

[shaohuzhang1]

fix: Tokens cannot be obtained from the model dialogue

[f2c-ci-robot]

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[shaohuzhang1]

The provided code snippet appears to be a part of an implementation for handling streaming responses from a chat model, specifically within a class called Stream. Here's a breakdown with notes on potential improvements:

Key Issues Identified:

1. Repeated Stream Option Setting: The stream option (stream attribute) is set multiple times without considering whether it was already defined.
2. Redundant Usage Metadata Handling: There seems to be redundant logic around usage metadata retrieval.

Potential Improvements:

1. Single Stream Option Check:
   Ensure that the stream option is only set once, ideally during initialization or just before initiating the stream process. This reduces ambiguity and potential bugs.

# Single check for stream option
if not kwargs.get('stream', False):
    kwargs["stream"] = True

2. Avoid Redundant Usage Metadata Retrieval:
   Remove unnecessary checks and assignments related to retrieving usage metadata because it might lead to overwriting values if they are fetched more than once.

# Custom code removed for clarity

3. Enhance Error Handling (Optional):
   While not directly addressed in this snippet, consider adding error handling mechanisms to manage edge cases such as invalid inputs or timeouts when fetching response chunks.

Suggested Changes:

Here’s how you could refactor the function based on these guidelines:

def _stream(
    messages: list[base_message.BaseMessage],
    stop: Optional[list[str]] = None,
    callbacks: Optional[List[CallbackHandler]] = None,
    verbose: bool = False,
    use_cache: bool = True,  # Assuming there's a need for caching
    llm_backend=None,
    run_manager: Optional[ CallbackManagerForLLMRun] = None,
    **kwargs: Any,
) -> Iterator[ChatGenerationChunk]:
    """
    Set default stream_options and initiate streaming response.
    """
    if llm_backend == "azure":
        del kwargs["stream"]
    
    # Ensure stream option is set correctly
    kwargs["stream"] = kwargs.get("stream", False)
    
    if kwargs.get("stream"):
        # Additional setup for streaming can go here
    
    payload = self._get_request_payload(messages, stop=stop, use_cache=use_cache, **kwargs)
    default_chunk_class: Type[BaseMessageChunk] = AIMessageChunk
    base_generation_info = {}
    
    # Rest of the code remains mostly unchanged

# Example usage
async def main():
    async for chunk in client.stream(["Hello"], use_stream=True):
        print(chunk.text)

Conclusion:

By ensuring the stream option is consistently managed and avoiding redundant operations concerning usage metadata, we improve both readability and robustness of the _stream method. These changes also enhance efficiency and reliability while maintaining consistency throughout the implementation.

[f2c-ci-robot]

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