Fix streaming problem for OpenAI
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@@ -177,28 +177,32 @@ async def openai_complete_if_cache(
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logger.debug("===== Sending Query to LLM =====")
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try:
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async with openai_async_client:
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if "response_format" in kwargs:
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response = await openai_async_client.beta.chat.completions.parse(
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model=model, messages=messages, **kwargs
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)
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else:
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response = await openai_async_client.chat.completions.create(
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model=model, messages=messages, **kwargs
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)
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# Don't use async with context manager, use client directly
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if "response_format" in kwargs:
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response = await openai_async_client.beta.chat.completions.parse(
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model=model, messages=messages, **kwargs
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)
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else:
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response = await openai_async_client.chat.completions.create(
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model=model, messages=messages, **kwargs
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)
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except APIConnectionError as e:
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logger.error(f"OpenAI API Connection Error: {e}")
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await openai_async_client.close() # Ensure client is closed
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raise
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except RateLimitError as e:
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logger.error(f"OpenAI API Rate Limit Error: {e}")
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await openai_async_client.close() # Ensure client is closed
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raise
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except APITimeoutError as e:
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logger.error(f"OpenAI API Timeout Error: {e}")
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await openai_async_client.close() # Ensure client is closed
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raise
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except Exception as e:
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logger.error(
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f"OpenAI API Call Failed,\nModel: {model},\nParams: {kwargs}, Got: {e}"
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)
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await openai_async_client.close() # Ensure client is closed
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raise
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if hasattr(response, "__aiter__"):
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@@ -243,6 +247,8 @@ async def openai_complete_if_cache(
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logger.warning(
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f"Failed to close stream response: {close_error}"
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)
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# Ensure client is closed in case of exception
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await openai_async_client.close()
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raise
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finally:
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# Ensure resources are released even if no exception occurs
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@@ -258,40 +264,50 @@ async def openai_complete_if_cache(
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logger.warning(
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f"Failed to close stream response in finally block: {close_error}"
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)
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# Note: We don't close the client here for streaming responses
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# The client will be closed by the caller after streaming is complete
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return inner()
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else:
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if (
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not response
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or not response.choices
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or not hasattr(response.choices[0], "message")
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or not hasattr(response.choices[0].message, "content")
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):
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logger.error("Invalid response from OpenAI API")
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raise InvalidResponseError("Invalid response from OpenAI API")
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try:
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if (
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not response
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or not response.choices
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or not hasattr(response.choices[0], "message")
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or not hasattr(response.choices[0].message, "content")
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):
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logger.error("Invalid response from OpenAI API")
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await openai_async_client.close() # Ensure client is closed
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raise InvalidResponseError("Invalid response from OpenAI API")
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content = response.choices[0].message.content
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content = response.choices[0].message.content
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if not content or content.strip() == "":
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logger.error("Received empty content from OpenAI API")
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raise InvalidResponseError("Received empty content from OpenAI API")
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if not content or content.strip() == "":
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logger.error("Received empty content from OpenAI API")
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await openai_async_client.close() # Ensure client is closed
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raise InvalidResponseError("Received empty content from OpenAI API")
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if r"\u" in content:
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content = safe_unicode_decode(content.encode("utf-8"))
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if r"\u" in content:
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content = safe_unicode_decode(content.encode("utf-8"))
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if token_tracker and hasattr(response, "usage"):
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token_counts = {
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"prompt_tokens": getattr(response.usage, "prompt_tokens", 0),
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"completion_tokens": getattr(response.usage, "completion_tokens", 0),
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"total_tokens": getattr(response.usage, "total_tokens", 0),
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}
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token_tracker.add_usage(token_counts)
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if token_tracker and hasattr(response, "usage"):
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token_counts = {
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"prompt_tokens": getattr(response.usage, "prompt_tokens", 0),
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"completion_tokens": getattr(
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response.usage, "completion_tokens", 0
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),
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"total_tokens": getattr(response.usage, "total_tokens", 0),
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}
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token_tracker.add_usage(token_counts)
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logger.debug(f"Response content len: {len(content)}")
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verbose_debug(f"Response: {response}")
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logger.debug(f"Response content len: {len(content)}")
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verbose_debug(f"Response: {response}")
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return content
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return content
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finally:
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# Ensure client is closed in all cases for non-streaming responses
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await openai_async_client.close()
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async def openai_complete(
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