Feat/assistant app (#2086)
Co-authored-by: chenhe <guchenhe@gmail.com> Co-authored-by: Pascal M <11357019+perzeuss@users.noreply.github.com>
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@@ -485,19 +485,37 @@ class OpenAILargeLanguageModel(_CommonOpenAI, LargeLanguageModel):
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:return: llm response chunk generator
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"""
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full_assistant_content = ''
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delta_assistant_message_function_call_storage: ChoiceDeltaFunctionCall = None
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for chunk in response:
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if len(chunk.choices) == 0:
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continue
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delta = chunk.choices[0]
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if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == ''):
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if delta.finish_reason is None and (delta.delta.content is None or delta.delta.content == '') and \
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delta.delta.function_call is None:
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continue
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# assistant_message_tool_calls = delta.delta.tool_calls
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assistant_message_function_call = delta.delta.function_call
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# extract tool calls from response
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if delta_assistant_message_function_call_storage is not None:
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# handle process of stream function call
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if assistant_message_function_call:
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# message has not ended ever
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delta_assistant_message_function_call_storage.arguments += assistant_message_function_call.arguments
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continue
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else:
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# message has ended
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assistant_message_function_call = delta_assistant_message_function_call_storage
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delta_assistant_message_function_call_storage = None
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else:
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if assistant_message_function_call:
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# start of stream function call
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delta_assistant_message_function_call_storage = assistant_message_function_call
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continue
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# tool_calls = self._extract_response_tool_calls(assistant_message_tool_calls)
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function_call = self._extract_response_function_call(assistant_message_function_call)
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tool_calls = [function_call] if function_call else []
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