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104 lines
3.4 KiB
Python
104 lines
3.4 KiB
Python
"""
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title: LiteLLM Manifold Pipeline
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author: open-webui
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date: 2024-05-30
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version: 1.0
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license: MIT
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description: A manifold pipeline that uses LiteLLM.
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"""
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from typing import List, Union, Generator, Iterator
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from schemas import OpenAIChatMessage
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from pydantic import BaseModel
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import requests
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class Pipeline:
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class Valves(BaseModel):
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LITELLM_BASE_URL: str
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def __init__(self):
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# You can also set the pipelines that are available in this pipeline.
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# Set manifold to True if you want to use this pipeline as a manifold.
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# Manifold pipelines can have multiple pipelines.
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self.type = "manifold"
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# Optionally, you can set the id and name of the pipeline.
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# Assign a unique identifier to the pipeline.
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# The identifier must be unique across all pipelines.
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# The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
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self.id = "litellm_manifold"
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# Optionally, you can set the name of the manifold pipeline.
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self.name = "LiteLLM: "
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# Initialize rate limits
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self.valves = self.Valves(**{"LITELLM_BASE_URL": "http://localhost:4001"})
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self.pipelines = []
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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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async def on_valves_updated(self):
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# This function is called when the valves are updated.
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self.pipelines = self.get_litellm_models()
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pass
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def get_litellm_models(self):
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if self.valves.LITELLM_BASE_URL:
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try:
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r = requests.get(f"{self.valves.LITELLM_BASE_URL}/v1/models")
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models = r.json()
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return [
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{
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"id": model["id"],
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"name": model["name"] if "name" in model else model["id"],
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}
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for model in models["data"]
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]
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except Exception as e:
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print(f"Error: {e}")
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return [
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{
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"id": self.id,
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"name": "Could not fetch models from LiteLLM, please update the URL in the valves.",
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},
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]
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else:
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return []
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def pipe(
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self, user_message: str, model_id: str, messages: List[dict], body: dict
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) -> Union[str, Generator, Iterator]:
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if "user" in body:
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print("######################################")
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print(f'# User: {body["user"]["name"]} ({body["user"]["id"]})')
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print(f"# Message: {user_message}")
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print("######################################")
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try:
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r = requests.post(
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url=f"{self.valves.LITELLM_BASE_URL}/v1/chat/completions",
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json={**body, "model": model_id, "user_id": body["user"]["id"]},
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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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