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fix: The LLM node setting with stream set to False. #9098

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fix: The LLM node setting with stream set to False. #9098

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fafc674
fix: stream = false
Hisir0909 Oct 9, 2024
dae8f57
Merge branch 'langgenius:main' into main
Hisir0909 Oct 15, 2024
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54 changes: 31 additions & 23 deletions api/core/workflow/nodes/llm/llm_node.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,11 +193,14 @@ def _invoke_llm(
"""
db.session.close()

# get stream flag
stream = node_data_model.completion_params.pop("stream", True)

invoke_result = model_instance.invoke_llm(
prompt_messages=prompt_messages,
model_parameters=node_data_model.completion_params,
stop=stop,
stream=True,
stream=stream,
user=self.user_id,
)

Expand All @@ -221,36 +224,41 @@ def _handle_invoke_result(
:param invoke_result: invoke result
:return:
"""
# handle stream = False
if isinstance(invoke_result, LLMResult):
return

model = None
prompt_messages: list[PromptMessage] = []
full_text = ""
usage = None
finish_reason = None
for result in invoke_result:
text = result.delta.message.content
full_text += text

text = invoke_result.message.content
usage = invoke_result.usage
finish_reason = "STOP"
yield RunStreamChunkEvent(chunk_content=text, from_variable_selector=[self.node_id, "text"])
yield ModelInvokeCompleted(text=text, usage=usage, finish_reason=finish_reason)
else:
model = None
prompt_messages: list[PromptMessage] = []
full_text = ""
usage = None
finish_reason = None
for result in invoke_result:
text = result.delta.message.content
full_text += text

if not model:
model = result.model
yield RunStreamChunkEvent(chunk_content=text, from_variable_selector=[self.node_id, "text"])

if not prompt_messages:
prompt_messages = result.prompt_messages
if not model:
model = result.model

if not usage and result.delta.usage:
usage = result.delta.usage
if not prompt_messages:
prompt_messages = result.prompt_messages

if not finish_reason and result.delta.finish_reason:
finish_reason = result.delta.finish_reason
if not usage and result.delta.usage:
usage = result.delta.usage

if not usage:
usage = LLMUsage.empty_usage()
if not finish_reason and result.delta.finish_reason:
finish_reason = result.delta.finish_reason

if not usage:
usage = LLMUsage.empty_usage()

yield ModelInvokeCompleted(text=full_text, usage=usage, finish_reason=finish_reason)
yield ModelInvokeCompleted(text=full_text, usage=usage, finish_reason=finish_reason)

def _transform_chat_messages(
self, messages: list[LLMNodeChatModelMessage] | LLMNodeCompletionModelPromptTemplate
Expand Down