mirror of
https://github.com/open-webui/pipelines
synced 2025-06-16 11:29:08 +00:00
82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
from typing import List, Union, Generator, Iterator
|
|
from schemas import OpenAIChatMessage
|
|
from pydantic import BaseModel
|
|
import os
|
|
import requests
|
|
|
|
|
|
class Pipeline:
|
|
class Valves(BaseModel):
|
|
OPENAI_API_KEY: str = ""
|
|
pass
|
|
|
|
def __init__(self):
|
|
# Optionally, you can set the id and name of the pipeline.
|
|
# 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.
|
|
# 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 = "openai_pipeline"
|
|
self.name = "OpenAI Pipeline"
|
|
self.valves = self.Valves(
|
|
**{
|
|
"OPENAI_API_KEY": os.getenv(
|
|
"OPENAI_API_KEY", "your-openai-api-key-here"
|
|
)
|
|
}
|
|
)
|
|
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)
|
|
|
|
OPENAI_API_KEY = self.valves.OPENAI_API_KEY
|
|
MODEL = "gpt-3.5-turbo"
|
|
|
|
headers = {}
|
|
headers["Authorization"] = f"Bearer {OPENAI_API_KEY}"
|
|
headers["Content-Type"] = "application/json"
|
|
|
|
payload = {**body, "model": MODEL}
|
|
|
|
if "user" in payload:
|
|
del payload["user"]
|
|
if "chat_id" in payload:
|
|
del payload["chat_id"]
|
|
if "title" in payload:
|
|
del payload["title"]
|
|
|
|
print(payload)
|
|
|
|
try:
|
|
r = requests.post(
|
|
url="https://api.openai.com/v1/chat/completions",
|
|
json=payload,
|
|
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}"
|