mirror of
https://github.com/open-webui/pipelines
synced 2025-06-26 10:06:07 +00:00
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
from typing import List, Union, Generator, Iterator
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from schemas import OpenAIChatMessage
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import requests
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class Pipeline:
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def __init__(self):
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# Optionally, you can set the id and name of the pipeline.
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self.id = "openai_pipeline"
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self.name = "OpenAI Pipeline"
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pass
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async def on_startup(self):
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# This function is called when the server is started.
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print(f"on_startup:{__name__}")
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pass
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async def on_shutdown(self):
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# This function is called when the server is stopped.
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print(f"on_shutdown:{__name__}")
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pass
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def get_response(
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self, user_message: str, messages: List[OpenAIChatMessage], body: dict
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) -> Union[str, Generator, Iterator]:
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# This is where you can add your custom pipelines like RAG.'
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print(f"get_response:{__name__}")
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print(messages)
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print(user_message)
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OPENAI_API_KEY = "your-openai-api-key-here"
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MODEL = "gpt-3.5-turbo"
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headers = {}
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headers["Authorization"] = f"Bearer {OPENAI_API_KEY}"
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headers["Content-Type"] = "application/json"
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try:
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r = requests.post(
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url="https://api.openai.com/v1/chat/completions",
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json={**body, "model": MODEL},
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headers=headers,
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stream=True,
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)
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r.raise_for_status()
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if body["stream"]:
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return r.iter_lines()
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else:
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return r.json()
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except Exception as e:
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return f"Error: {e}"
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