mirror of
https://github.com/open-webui/pipelines
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0303263197
- Initialize `r` to `None` to prevent potential `NameError`. - Correct typo: change "funcions" to "functions" in allowed parameters. - Rename "dataSources" to "data_sources" to align with API specs.
91 lines
3.8 KiB
Python
91 lines
3.8 KiB
Python
from typing import List, Union, Generator, Iterator
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from pydantic import BaseModel
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import requests
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import os
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class Pipeline:
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class Valves(BaseModel):
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# You can add your custom valves here.
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AZURE_OPENAI_API_KEY: str
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AZURE_OPENAI_ENDPOINT: str
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AZURE_OPENAI_DEPLOYMENT_NAME: str
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AZURE_OPENAI_API_VERSION: str
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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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# Best practice is to not specify the id so that it can be automatically inferred from the filename, so that users can install multiple versions of the same 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 = "azure_openai_pipeline"
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self.name = "Azure OpenAI Pipeline"
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self.valves = self.Valves(
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**{
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"AZURE_OPENAI_API_KEY": os.getenv("AZURE_OPENAI_API_KEY", "your-azure-openai-api-key-here"),
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"AZURE_OPENAI_ENDPOINT": os.getenv("AZURE_OPENAI_ENDPOINT", "your-azure-openai-endpoint-here"),
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"AZURE_OPENAI_DEPLOYMENT_NAME": os.getenv("AZURE_OPENAI_DEPLOYMENT_NAME", "your-deployment-name-here"),
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"AZURE_OPENAI_API_VERSION": os.getenv("AZURE_OPENAI_API_VERSION", "2024-02-01"),
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}
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)
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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 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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# This is where you can add your custom pipelines like RAG.
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print(f"pipe:{__name__}")
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print(messages)
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print(user_message)
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headers = {
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"api-key": self.valves.AZURE_OPENAI_API_KEY,
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"Content-Type": "application/json",
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}
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url = f"{self.valves.AZURE_OPENAI_ENDPOINT}/openai/deployments/{self.valves.AZURE_OPENAI_DEPLOYMENT_NAME}/chat/completions?api-version={self.valves.AZURE_OPENAI_API_VERSION}"
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allowed_params = {'messages', 'temperature', 'role', 'content', 'contentPart', 'contentPartImage',
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'enhancements', 'data_sources', 'n', 'stream', 'stop', 'max_tokens', 'presence_penalty',
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'frequency_penalty', 'logit_bias', 'user', 'function_call', 'functions', 'tools',
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'tool_choice', 'top_p', 'log_probs', 'top_logprobs', 'response_format', 'seed'}
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# remap user field
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if "user" in body and not isinstance(body["user"], str):
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body["user"] = body["user"]["id"] if "id" in body["user"] else str(body["user"])
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filtered_body = {k: v for k, v in body.items() if k in allowed_params}
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# log fields that were filtered out as a single line
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if len(body) != len(filtered_body):
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print(f"Dropped params: {', '.join(set(body.keys()) - set(filtered_body.keys()))}")
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# Initialize the response variable to None.
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r = None
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try:
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r = requests.post(
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url=url,
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json=filtered_body,
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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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if r:
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text = r.text
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return f"Error: {e} ({text})"
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else:
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return f"Error: {e}"
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