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https://github.com/open-webui/pipelines
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fix: make azure openai work by dropping/modifying params
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parent
93cb893666
commit
19fef5774e
@ -1,5 +1,4 @@
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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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@ -10,9 +9,7 @@ class Pipeline:
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AZURE_OPENAI_API_KEY: str = "your-azure-openai-api-key-here"
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AZURE_OPENAI_ENDPOINT: str = "your-azure-openai-endpoint-here"
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DEPLOYMENT_NAME: str = "your-deployment-name-here"
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API_VERSION: str = "2023-10-01-preview"
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MODEL: str = "gpt-3.5-turbo"
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pass
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API_VERSION: str = "2024-02-01"
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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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@ -35,7 +32,7 @@ class Pipeline:
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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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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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@ -50,10 +47,22 @@ class Pipeline:
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url = f"{self.valves.AZURE_OPENAI_ENDPOINT}/openai/deployments/{self.valves.DEPLOYMENT_NAME}/chat/completions?api-version={self.valves.API_VERSION}"
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allowed_params = {'messages', 'temperature', 'role', 'content', 'contentPart', 'contentPartImage',
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'enhancements', 'dataSources', 'n', 'stream', 'stop', 'max_tokens', 'presence_penalty',
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'frequency_penalty', 'logit_bias', 'user', 'function_call', 'funcions', '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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try:
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r = requests.post(
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url=url,
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json={**body, "model": self.valves.MODEL},
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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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@ -64,4 +73,8 @@ class Pipeline:
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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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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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