Fix streaming problem for OpenAI

This commit is contained in:
yangdx
2025-05-09 15:54:54 +08:00
parent 3597239768
commit c2938a71a4

View File

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