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https://github.com/open-webui/open-webui
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flatten job()
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@ -147,7 +147,7 @@ async def get_pipe_models():
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function_module = get_function_module(pipe.id)
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# Check if function is a manifold
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if hasattr(function_module, "type") and function_module.type == "manifold":
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if hasattr(function_module, "pipes"):
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manifold_pipes = []
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# Check if pipes is a function or a list
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@ -343,70 +343,65 @@ async def generate_function_chat_completion(form_data, user):
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form_data = add_model_params(params, form_data)
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form_data = populate_system_message(params, form_data, user)
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async def job():
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pipe_id = get_pipe_id(form_data)
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function_module = get_function_module(pipe_id)
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pipe_id = get_pipe_id(form_data)
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function_module = get_function_module(pipe_id)
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pipe = function_module.pipe
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params = get_params_dict(pipe, form_data, user, extra_params, function_module)
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pipe = function_module.pipe
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params = get_params_dict(pipe, form_data, user, extra_params, function_module)
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if form_data["stream"]:
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if form_data["stream"]:
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async def stream_content():
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try:
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res = await execute_pipe(pipe, params)
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# Directly return if the response is a StreamingResponse
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if isinstance(res, StreamingResponse):
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async for data in res.body_iterator:
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yield data
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return
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if isinstance(res, dict):
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yield f"data: {json.dumps(res)}\n\n"
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return
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except Exception as e:
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print(f"Error: {e}")
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yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n"
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return
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if isinstance(res, str):
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message = openai_chat_chunk_message_template(
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form_data["model"], res
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)
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yield f"data: {json.dumps(message)}\n\n"
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if isinstance(res, Iterator):
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for line in res:
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yield process_line(form_data, line)
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if isinstance(res, AsyncGenerator):
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async for line in res:
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yield process_line(form_data, line)
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if isinstance(res, str) or isinstance(res, Generator):
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finish_message = openai_chat_chunk_message_template(
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form_data["model"], ""
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)
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finish_message["choices"][0]["finish_reason"] = "stop"
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yield f"data: {json.dumps(finish_message)}\n\n"
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yield "data: [DONE]"
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return StreamingResponse(stream_content(), media_type="text/event-stream")
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else:
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async def stream_content():
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try:
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res = await execute_pipe(pipe, params)
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# Directly return if the response is a StreamingResponse
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if isinstance(res, StreamingResponse):
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async for data in res.body_iterator:
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yield data
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return
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if isinstance(res, dict):
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yield f"data: {json.dumps(res)}\n\n"
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return
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except Exception as e:
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print(f"Error: {e}")
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return {"error": {"detail": str(e)}}
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yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n"
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return
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if isinstance(res, StreamingResponse) or isinstance(res, dict):
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return res
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if isinstance(res, BaseModel):
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return res.model_dump()
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if isinstance(res, str):
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message = openai_chat_chunk_message_template(form_data["model"], res)
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yield f"data: {json.dumps(message)}\n\n"
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message = await get_message_content(res)
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return openai_chat_completion_message_template(form_data["model"], message)
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if isinstance(res, Iterator):
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for line in res:
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yield process_line(form_data, line)
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return await job()
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if isinstance(res, AsyncGenerator):
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async for line in res:
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yield process_line(form_data, line)
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if isinstance(res, str) or isinstance(res, Generator):
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finish_message = openai_chat_chunk_message_template(
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form_data["model"], ""
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)
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finish_message["choices"][0]["finish_reason"] = "stop"
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yield f"data: {json.dumps(finish_message)}\n\n"
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yield "data: [DONE]"
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return StreamingResponse(stream_content(), media_type="text/event-stream")
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else:
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try:
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res = await execute_pipe(pipe, params)
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except Exception as e:
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print(f"Error: {e}")
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return {"error": {"detail": str(e)}}
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if isinstance(res, StreamingResponse) or isinstance(res, dict):
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return res
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if isinstance(res, BaseModel):
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return res.model_dump()
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message = await get_message_content(res)
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return openai_chat_completion_message_template(form_data["model"], message)
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