mirror of
https://github.com/open-webui/pipelines
synced 2025-05-10 23:50:45 +00:00
60 lines
2.0 KiB
Python
60 lines
2.0 KiB
Python
from typing import List, Union, Generator, Iterator
|
|
from schemas import OpenAIChatMessage
|
|
import requests
|
|
|
|
|
|
class Pipeline:
|
|
def __init__(self):
|
|
# Optionally, you can set the id and name of the pipeline.
|
|
# Assign a unique identifier to the pipeline.
|
|
# The identifier must be unique across all pipelines.
|
|
# The identifier must be an alphanumeric string that can include underscores or hyphens. It cannot contain spaces, special characters, slashes, or backslashes.
|
|
self.id = "azure_openai_pipeline"
|
|
self.name = "Azure OpenAI Pipeline"
|
|
pass
|
|
|
|
async def on_startup(self):
|
|
# This function is called when the server is started.
|
|
print(f"on_startup:{__name__}")
|
|
pass
|
|
|
|
async def on_shutdown(self):
|
|
# This function is called when the server is stopped.
|
|
print(f"on_shutdown:{__name__}")
|
|
pass
|
|
|
|
def pipe(
|
|
self, user_message: str, model_id: str, messages: List[dict], body: dict
|
|
) -> Union[str, Generator, Iterator]:
|
|
# This is where you can add your custom pipelines like RAG.
|
|
print(f"pipe:{__name__}")
|
|
|
|
print(messages)
|
|
print(user_message)
|
|
|
|
AZURE_OPENAI_API_KEY = "your-azure-openai-api-key-here"
|
|
AZURE_OPENAI_ENDPOINT = "your-azure-openai-endpoint-here"
|
|
DEPLOYMENT_NAME = "your-deployment-name-here"
|
|
MODEL = "gpt-3.5-turbo"
|
|
|
|
headers = {"api-key": AZURE_OPENAI_API_KEY, "Content-Type": "application/json"}
|
|
|
|
url = f"{AZURE_OPENAI_ENDPOINT}/openai/deployments/{DEPLOYMENT_NAME}/chat/completions?api-version=2023-10-01-preview"
|
|
|
|
try:
|
|
r = requests.post(
|
|
url=url,
|
|
json={**body, "model": MODEL},
|
|
headers=headers,
|
|
stream=True,
|
|
)
|
|
|
|
r.raise_for_status()
|
|
|
|
if body["stream"]:
|
|
return r.iter_lines()
|
|
else:
|
|
return r.json()
|
|
except Exception as e:
|
|
return f"Error: {e}"
|