mirror of
https://github.com/open-webui/open-webui
synced 2024-11-25 13:29:53 +00:00
1319 lines
39 KiB
Python
1319 lines
39 KiB
Python
from fastapi import (
|
|
FastAPI,
|
|
Request,
|
|
Response,
|
|
HTTPException,
|
|
Depends,
|
|
status,
|
|
UploadFile,
|
|
File,
|
|
BackgroundTasks,
|
|
)
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.responses import StreamingResponse
|
|
from fastapi.concurrency import run_in_threadpool
|
|
|
|
from pydantic import BaseModel, ConfigDict
|
|
|
|
import os
|
|
import re
|
|
import copy
|
|
import random
|
|
import requests
|
|
import json
|
|
import uuid
|
|
import aiohttp
|
|
import asyncio
|
|
import logging
|
|
import time
|
|
from urllib.parse import urlparse
|
|
from typing import Optional, List, Union
|
|
|
|
from starlette.background import BackgroundTask
|
|
|
|
from apps.webui.models.models import Models
|
|
from apps.webui.models.users import Users
|
|
from constants import ERROR_MESSAGES
|
|
from utils.utils import (
|
|
decode_token,
|
|
get_current_user,
|
|
get_verified_user,
|
|
get_admin_user,
|
|
)
|
|
|
|
from utils.models import get_model_id_from_custom_model_id
|
|
|
|
|
|
from config import (
|
|
SRC_LOG_LEVELS,
|
|
OLLAMA_BASE_URLS,
|
|
ENABLE_OLLAMA_API,
|
|
ENABLE_MODEL_FILTER,
|
|
MODEL_FILTER_LIST,
|
|
UPLOAD_DIR,
|
|
AppConfig,
|
|
)
|
|
from utils.misc import calculate_sha256
|
|
|
|
log = logging.getLogger(__name__)
|
|
log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
|
|
|
|
app = FastAPI()
|
|
app.add_middleware(
|
|
CORSMiddleware,
|
|
allow_origins=["*"],
|
|
allow_credentials=True,
|
|
allow_methods=["*"],
|
|
allow_headers=["*"],
|
|
)
|
|
|
|
app.state.config = AppConfig()
|
|
|
|
app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
|
|
app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
|
|
|
|
app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API
|
|
app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
|
|
app.state.MODELS = {}
|
|
|
|
|
|
# TODO: Implement a more intelligent load balancing mechanism for distributing requests among multiple backend instances.
|
|
# Current implementation uses a simple round-robin approach (random.choice). Consider incorporating algorithms like weighted round-robin,
|
|
# least connections, or least response time for better resource utilization and performance optimization.
|
|
|
|
|
|
@app.middleware("http")
|
|
async def check_url(request: Request, call_next):
|
|
if len(app.state.MODELS) == 0:
|
|
await get_all_models()
|
|
else:
|
|
pass
|
|
|
|
response = await call_next(request)
|
|
return response
|
|
|
|
|
|
@app.head("/")
|
|
@app.get("/")
|
|
async def get_status():
|
|
return {"status": True}
|
|
|
|
|
|
@app.get("/config")
|
|
async def get_config(user=Depends(get_admin_user)):
|
|
return {"ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API}
|
|
|
|
|
|
class OllamaConfigForm(BaseModel):
|
|
enable_ollama_api: Optional[bool] = None
|
|
|
|
|
|
@app.post("/config/update")
|
|
async def update_config(form_data: OllamaConfigForm, user=Depends(get_admin_user)):
|
|
app.state.config.ENABLE_OLLAMA_API = form_data.enable_ollama_api
|
|
return {"ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API}
|
|
|
|
|
|
@app.get("/urls")
|
|
async def get_ollama_api_urls(user=Depends(get_admin_user)):
|
|
return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS}
|
|
|
|
|
|
class UrlUpdateForm(BaseModel):
|
|
urls: List[str]
|
|
|
|
|
|
@app.post("/urls/update")
|
|
async def update_ollama_api_url(form_data: UrlUpdateForm, user=Depends(get_admin_user)):
|
|
app.state.config.OLLAMA_BASE_URLS = form_data.urls
|
|
|
|
log.info(f"app.state.config.OLLAMA_BASE_URLS: {app.state.config.OLLAMA_BASE_URLS}")
|
|
return {"OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS}
|
|
|
|
|
|
async def fetch_url(url):
|
|
timeout = aiohttp.ClientTimeout(total=5)
|
|
try:
|
|
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
|
|
async with session.get(url) as response:
|
|
return await response.json()
|
|
except Exception as e:
|
|
# Handle connection error here
|
|
log.error(f"Connection error: {e}")
|
|
return None
|
|
|
|
|
|
async def cleanup_response(
|
|
response: Optional[aiohttp.ClientResponse],
|
|
session: Optional[aiohttp.ClientSession],
|
|
):
|
|
if response:
|
|
response.close()
|
|
if session:
|
|
await session.close()
|
|
|
|
|
|
async def post_streaming_url(url: str, payload: str):
|
|
r = None
|
|
try:
|
|
session = aiohttp.ClientSession(trust_env=True)
|
|
r = await session.post(url, data=payload)
|
|
r.raise_for_status()
|
|
|
|
return StreamingResponse(
|
|
r.content,
|
|
status_code=r.status,
|
|
headers=dict(r.headers),
|
|
background=BackgroundTask(cleanup_response, response=r, session=session),
|
|
)
|
|
except Exception as e:
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = await r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
def merge_models_lists(model_lists):
|
|
merged_models = {}
|
|
|
|
for idx, model_list in enumerate(model_lists):
|
|
if model_list is not None:
|
|
for model in model_list:
|
|
digest = model["digest"]
|
|
if digest not in merged_models:
|
|
model["urls"] = [idx]
|
|
merged_models[digest] = model
|
|
else:
|
|
merged_models[digest]["urls"].append(idx)
|
|
|
|
return list(merged_models.values())
|
|
|
|
|
|
# user=Depends(get_current_user)
|
|
|
|
|
|
async def get_all_models():
|
|
log.info("get_all_models()")
|
|
|
|
if app.state.config.ENABLE_OLLAMA_API:
|
|
tasks = [
|
|
fetch_url(f"{url}/api/tags") for url in app.state.config.OLLAMA_BASE_URLS
|
|
]
|
|
responses = await asyncio.gather(*tasks)
|
|
|
|
models = {
|
|
"models": merge_models_lists(
|
|
map(
|
|
lambda response: response["models"] if response else None, responses
|
|
)
|
|
)
|
|
}
|
|
|
|
else:
|
|
models = {"models": []}
|
|
|
|
app.state.MODELS = {model["model"]: model for model in models["models"]}
|
|
|
|
return models
|
|
|
|
|
|
@app.get("/api/tags")
|
|
@app.get("/api/tags/{url_idx}")
|
|
async def get_ollama_tags(
|
|
url_idx: Optional[int] = None, user=Depends(get_verified_user)
|
|
):
|
|
if url_idx == None:
|
|
models = await get_all_models()
|
|
|
|
if app.state.config.ENABLE_MODEL_FILTER:
|
|
if user.role == "user":
|
|
models["models"] = list(
|
|
filter(
|
|
lambda model: model["name"]
|
|
in app.state.config.MODEL_FILTER_LIST,
|
|
models["models"],
|
|
)
|
|
)
|
|
return models
|
|
return models
|
|
else:
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
|
|
r = None
|
|
try:
|
|
r = requests.request(method="GET", url=f"{url}/api/tags")
|
|
r.raise_for_status()
|
|
|
|
return r.json()
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
@app.get("/api/version")
|
|
@app.get("/api/version/{url_idx}")
|
|
async def get_ollama_versions(url_idx: Optional[int] = None):
|
|
|
|
if url_idx == None:
|
|
|
|
# returns lowest version
|
|
tasks = [
|
|
fetch_url(f"{url}/api/version") for url in app.state.config.OLLAMA_BASE_URLS
|
|
]
|
|
responses = await asyncio.gather(*tasks)
|
|
responses = list(filter(lambda x: x is not None, responses))
|
|
|
|
if len(responses) > 0:
|
|
lowest_version = min(
|
|
responses,
|
|
key=lambda x: tuple(
|
|
map(int, re.sub(r"^v|-.*", "", x["version"]).split("."))
|
|
),
|
|
)
|
|
|
|
return {"version": lowest_version["version"]}
|
|
else:
|
|
raise HTTPException(
|
|
status_code=500,
|
|
detail=ERROR_MESSAGES.OLLAMA_NOT_FOUND,
|
|
)
|
|
else:
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
|
|
r = None
|
|
try:
|
|
r = requests.request(method="GET", url=f"{url}/api/version")
|
|
r.raise_for_status()
|
|
|
|
return r.json()
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
class ModelNameForm(BaseModel):
|
|
name: str
|
|
|
|
|
|
@app.post("/api/pull")
|
|
@app.post("/api/pull/{url_idx}")
|
|
async def pull_model(
|
|
form_data: ModelNameForm, url_idx: int = 0, user=Depends(get_admin_user)
|
|
):
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
r = None
|
|
|
|
# Admin should be able to pull models from any source
|
|
payload = {**form_data.model_dump(exclude_none=True), "insecure": True}
|
|
|
|
return await post_streaming_url(f"{url}/api/pull", json.dumps(payload))
|
|
|
|
|
|
class PushModelForm(BaseModel):
|
|
name: str
|
|
insecure: Optional[bool] = None
|
|
stream: Optional[bool] = None
|
|
|
|
|
|
@app.delete("/api/push")
|
|
@app.delete("/api/push/{url_idx}")
|
|
async def push_model(
|
|
form_data: PushModelForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_admin_user),
|
|
):
|
|
if url_idx == None:
|
|
if form_data.name in app.state.MODELS:
|
|
url_idx = app.state.MODELS[form_data.name]["urls"][0]
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.debug(f"url: {url}")
|
|
|
|
return await post_streaming_url(
|
|
f"{url}/api/push", form_data.model_dump_json(exclude_none=True).encode()
|
|
)
|
|
|
|
|
|
class CreateModelForm(BaseModel):
|
|
name: str
|
|
modelfile: Optional[str] = None
|
|
stream: Optional[bool] = None
|
|
path: Optional[str] = None
|
|
|
|
|
|
@app.post("/api/create")
|
|
@app.post("/api/create/{url_idx}")
|
|
async def create_model(
|
|
form_data: CreateModelForm, url_idx: int = 0, user=Depends(get_admin_user)
|
|
):
|
|
log.debug(f"form_data: {form_data}")
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
return await post_streaming_url(
|
|
f"{url}/api/create", form_data.model_dump_json(exclude_none=True).encode()
|
|
)
|
|
|
|
|
|
class CopyModelForm(BaseModel):
|
|
source: str
|
|
destination: str
|
|
|
|
|
|
@app.post("/api/copy")
|
|
@app.post("/api/copy/{url_idx}")
|
|
async def copy_model(
|
|
form_data: CopyModelForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_admin_user),
|
|
):
|
|
if url_idx == None:
|
|
if form_data.source in app.state.MODELS:
|
|
url_idx = app.state.MODELS[form_data.source]["urls"][0]
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.source),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
try:
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/copy",
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
r.raise_for_status()
|
|
|
|
log.debug(f"r.text: {r.text}")
|
|
|
|
return True
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
@app.delete("/api/delete")
|
|
@app.delete("/api/delete/{url_idx}")
|
|
async def delete_model(
|
|
form_data: ModelNameForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_admin_user),
|
|
):
|
|
if url_idx == None:
|
|
if form_data.name in app.state.MODELS:
|
|
url_idx = app.state.MODELS[form_data.name]["urls"][0]
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
try:
|
|
r = requests.request(
|
|
method="DELETE",
|
|
url=f"{url}/api/delete",
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
r.raise_for_status()
|
|
|
|
log.debug(f"r.text: {r.text}")
|
|
|
|
return True
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
@app.post("/api/show")
|
|
async def show_model_info(form_data: ModelNameForm, user=Depends(get_verified_user)):
|
|
if form_data.name not in app.state.MODELS:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name),
|
|
)
|
|
|
|
url_idx = random.choice(app.state.MODELS[form_data.name]["urls"])
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
try:
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/show",
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
r.raise_for_status()
|
|
|
|
return r.json()
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
class GenerateEmbeddingsForm(BaseModel):
|
|
model: str
|
|
prompt: str
|
|
options: Optional[dict] = None
|
|
keep_alive: Optional[Union[int, str]] = None
|
|
|
|
|
|
@app.post("/api/embeddings")
|
|
@app.post("/api/embeddings/{url_idx}")
|
|
async def generate_embeddings(
|
|
form_data: GenerateEmbeddingsForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
if url_idx == None:
|
|
model = form_data.model
|
|
|
|
if ":" not in model:
|
|
model = f"{model}:latest"
|
|
|
|
if model in app.state.MODELS:
|
|
url_idx = random.choice(app.state.MODELS[model]["urls"])
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
try:
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/embeddings",
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
r.raise_for_status()
|
|
|
|
return r.json()
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
def generate_ollama_embeddings(
|
|
form_data: GenerateEmbeddingsForm,
|
|
url_idx: Optional[int] = None,
|
|
):
|
|
|
|
log.info(f"generate_ollama_embeddings {form_data}")
|
|
|
|
if url_idx == None:
|
|
model = form_data.model
|
|
|
|
if ":" not in model:
|
|
model = f"{model}:latest"
|
|
|
|
if model in app.state.MODELS:
|
|
url_idx = random.choice(app.state.MODELS[model]["urls"])
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
try:
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/embeddings",
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
r.raise_for_status()
|
|
|
|
data = r.json()
|
|
|
|
log.info(f"generate_ollama_embeddings {data}")
|
|
|
|
if "embedding" in data:
|
|
return data["embedding"]
|
|
else:
|
|
raise "Something went wrong :/"
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise error_detail
|
|
|
|
|
|
class GenerateCompletionForm(BaseModel):
|
|
model: str
|
|
prompt: str
|
|
images: Optional[List[str]] = None
|
|
format: Optional[str] = None
|
|
options: Optional[dict] = None
|
|
system: Optional[str] = None
|
|
template: Optional[str] = None
|
|
context: Optional[str] = None
|
|
stream: Optional[bool] = True
|
|
raw: Optional[bool] = None
|
|
keep_alive: Optional[Union[int, str]] = None
|
|
|
|
|
|
@app.post("/api/generate")
|
|
@app.post("/api/generate/{url_idx}")
|
|
async def generate_completion(
|
|
form_data: GenerateCompletionForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
|
|
if url_idx == None:
|
|
model = form_data.model
|
|
|
|
if ":" not in model:
|
|
model = f"{model}:latest"
|
|
|
|
if model in app.state.MODELS:
|
|
url_idx = random.choice(app.state.MODELS[model]["urls"])
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
return await post_streaming_url(
|
|
f"{url}/api/generate", form_data.model_dump_json(exclude_none=True).encode()
|
|
)
|
|
|
|
|
|
class ChatMessage(BaseModel):
|
|
role: str
|
|
content: str
|
|
images: Optional[List[str]] = None
|
|
|
|
|
|
class GenerateChatCompletionForm(BaseModel):
|
|
model: str
|
|
messages: List[ChatMessage]
|
|
format: Optional[str] = None
|
|
options: Optional[dict] = None
|
|
template: Optional[str] = None
|
|
stream: Optional[bool] = None
|
|
keep_alive: Optional[Union[int, str]] = None
|
|
|
|
|
|
@app.post("/api/chat")
|
|
@app.post("/api/chat/{url_idx}")
|
|
async def generate_chat_completion(
|
|
form_data: GenerateChatCompletionForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
|
|
log.debug(
|
|
"form_data.model_dump_json(exclude_none=True).encode(): {0} ".format(
|
|
form_data.model_dump_json(exclude_none=True).encode()
|
|
)
|
|
)
|
|
|
|
payload = {
|
|
**form_data.model_dump(exclude_none=True),
|
|
}
|
|
|
|
model_id = form_data.model
|
|
model_info = Models.get_model_by_id(model_id)
|
|
|
|
if model_info:
|
|
print(model_info)
|
|
if model_info.base_model_id:
|
|
payload["model"] = model_info.base_model_id
|
|
|
|
model_info.params = model_info.params.model_dump()
|
|
|
|
if model_info.params:
|
|
payload["options"] = {}
|
|
|
|
if model_info.params.get("mirostat", None):
|
|
payload["options"]["mirostat"] = model_info.params.get("mirostat", None)
|
|
|
|
if model_info.params.get("mirostat_eta", None):
|
|
payload["options"]["mirostat_eta"] = model_info.params.get(
|
|
"mirostat_eta", None
|
|
)
|
|
|
|
if model_info.params.get("mirostat_tau", None):
|
|
|
|
payload["options"]["mirostat_tau"] = model_info.params.get(
|
|
"mirostat_tau", None
|
|
)
|
|
|
|
if model_info.params.get("num_ctx", None):
|
|
payload["options"]["num_ctx"] = model_info.params.get("num_ctx", None)
|
|
|
|
if model_info.params.get("repeat_last_n", None):
|
|
payload["options"]["repeat_last_n"] = model_info.params.get(
|
|
"repeat_last_n", None
|
|
)
|
|
|
|
if model_info.params.get("frequency_penalty", None):
|
|
payload["options"]["repeat_penalty"] = model_info.params.get(
|
|
"frequency_penalty", None
|
|
)
|
|
|
|
if model_info.params.get("temperature", None):
|
|
payload["options"]["temperature"] = model_info.params.get(
|
|
"temperature", None
|
|
)
|
|
|
|
if model_info.params.get("seed", None):
|
|
payload["options"]["seed"] = model_info.params.get("seed", None)
|
|
|
|
if model_info.params.get("stop", None):
|
|
payload["options"]["stop"] = (
|
|
[
|
|
bytes(stop, "utf-8").decode("unicode_escape")
|
|
for stop in model_info.params["stop"]
|
|
]
|
|
if model_info.params.get("stop", None)
|
|
else None
|
|
)
|
|
|
|
if model_info.params.get("tfs_z", None):
|
|
payload["options"]["tfs_z"] = model_info.params.get("tfs_z", None)
|
|
|
|
if model_info.params.get("max_tokens", None):
|
|
payload["options"]["num_predict"] = model_info.params.get(
|
|
"max_tokens", None
|
|
)
|
|
|
|
if model_info.params.get("top_k", None):
|
|
payload["options"]["top_k"] = model_info.params.get("top_k", None)
|
|
|
|
if model_info.params.get("top_p", None):
|
|
payload["options"]["top_p"] = model_info.params.get("top_p", None)
|
|
|
|
if model_info.params.get("use_mmap", None):
|
|
payload["options"]["use_mmap"] = model_info.params.get("use_mmap", None)
|
|
|
|
if model_info.params.get("use_mlock", None):
|
|
payload["options"]["use_mlock"] = model_info.params.get(
|
|
"use_mlock", None
|
|
)
|
|
|
|
if model_info.params.get("num_thread", None):
|
|
payload["options"]["num_thread"] = model_info.params.get(
|
|
"num_thread", None
|
|
)
|
|
|
|
if model_info.params.get("system", None):
|
|
# Check if the payload already has a system message
|
|
# If not, add a system message to the payload
|
|
if payload.get("messages"):
|
|
for message in payload["messages"]:
|
|
if message.get("role") == "system":
|
|
message["content"] = (
|
|
model_info.params.get("system", None) + message["content"]
|
|
)
|
|
break
|
|
else:
|
|
payload["messages"].insert(
|
|
0,
|
|
{
|
|
"role": "system",
|
|
"content": model_info.params.get("system", None),
|
|
},
|
|
)
|
|
|
|
if url_idx == None:
|
|
if ":" not in payload["model"]:
|
|
payload["model"] = f"{payload['model']}:latest"
|
|
|
|
if payload["model"] in app.state.MODELS:
|
|
url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
print(payload)
|
|
|
|
return await post_streaming_url(f"{url}/api/chat", json.dumps(payload))
|
|
|
|
|
|
# TODO: we should update this part once Ollama supports other types
|
|
class OpenAIChatMessage(BaseModel):
|
|
role: str
|
|
content: str
|
|
|
|
model_config = ConfigDict(extra="allow")
|
|
|
|
|
|
class OpenAIChatCompletionForm(BaseModel):
|
|
model: str
|
|
messages: List[OpenAIChatMessage]
|
|
|
|
model_config = ConfigDict(extra="allow")
|
|
|
|
|
|
@app.post("/v1/chat/completions")
|
|
@app.post("/v1/chat/completions/{url_idx}")
|
|
async def generate_openai_chat_completion(
|
|
form_data: OpenAIChatCompletionForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
|
|
payload = {
|
|
**form_data.model_dump(exclude_none=True),
|
|
}
|
|
|
|
model_id = form_data.model
|
|
model_info = Models.get_model_by_id(model_id)
|
|
|
|
if model_info:
|
|
print(model_info)
|
|
if model_info.base_model_id:
|
|
payload["model"] = model_info.base_model_id
|
|
|
|
model_info.params = model_info.params.model_dump()
|
|
|
|
if model_info.params:
|
|
payload["temperature"] = model_info.params.get("temperature", None)
|
|
payload["top_p"] = model_info.params.get("top_p", None)
|
|
payload["max_tokens"] = model_info.params.get("max_tokens", None)
|
|
payload["frequency_penalty"] = model_info.params.get(
|
|
"frequency_penalty", None
|
|
)
|
|
payload["seed"] = model_info.params.get("seed", None)
|
|
payload["stop"] = (
|
|
[
|
|
bytes(stop, "utf-8").decode("unicode_escape")
|
|
for stop in model_info.params["stop"]
|
|
]
|
|
if model_info.params.get("stop", None)
|
|
else None
|
|
)
|
|
|
|
if model_info.params.get("system", None):
|
|
# Check if the payload already has a system message
|
|
# If not, add a system message to the payload
|
|
if payload.get("messages"):
|
|
for message in payload["messages"]:
|
|
if message.get("role") == "system":
|
|
message["content"] = (
|
|
model_info.params.get("system", None) + message["content"]
|
|
)
|
|
break
|
|
else:
|
|
payload["messages"].insert(
|
|
0,
|
|
{
|
|
"role": "system",
|
|
"content": model_info.params.get("system", None),
|
|
},
|
|
)
|
|
|
|
if url_idx == None:
|
|
if ":" not in payload["model"]:
|
|
payload["model"] = f"{payload['model']}:latest"
|
|
|
|
if payload["model"] in app.state.MODELS:
|
|
url_idx = random.choice(app.state.MODELS[payload["model"]]["urls"])
|
|
else:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.model),
|
|
)
|
|
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
log.info(f"url: {url}")
|
|
|
|
return await post_streaming_url(f"{url}/v1/chat/completions", json.dumps(payload))
|
|
|
|
|
|
@app.get("/v1/models")
|
|
@app.get("/v1/models/{url_idx}")
|
|
async def get_openai_models(
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
if url_idx == None:
|
|
models = await get_all_models()
|
|
|
|
if app.state.config.ENABLE_MODEL_FILTER:
|
|
if user.role == "user":
|
|
models["models"] = list(
|
|
filter(
|
|
lambda model: model["name"]
|
|
in app.state.config.MODEL_FILTER_LIST,
|
|
models["models"],
|
|
)
|
|
)
|
|
|
|
return {
|
|
"data": [
|
|
{
|
|
"id": model["model"],
|
|
"object": "model",
|
|
"created": int(time.time()),
|
|
"owned_by": "openai",
|
|
}
|
|
for model in models["models"]
|
|
],
|
|
"object": "list",
|
|
}
|
|
|
|
else:
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
try:
|
|
r = requests.request(method="GET", url=f"{url}/api/tags")
|
|
r.raise_for_status()
|
|
|
|
models = r.json()
|
|
|
|
return {
|
|
"data": [
|
|
{
|
|
"id": model["model"],
|
|
"object": "model",
|
|
"created": int(time.time()),
|
|
"owned_by": "openai",
|
|
}
|
|
for model in models["models"]
|
|
],
|
|
"object": "list",
|
|
}
|
|
|
|
except Exception as e:
|
|
log.exception(e)
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
class UrlForm(BaseModel):
|
|
url: str
|
|
|
|
|
|
class UploadBlobForm(BaseModel):
|
|
filename: str
|
|
|
|
|
|
def parse_huggingface_url(hf_url):
|
|
try:
|
|
# Parse the URL
|
|
parsed_url = urlparse(hf_url)
|
|
|
|
# Get the path and split it into components
|
|
path_components = parsed_url.path.split("/")
|
|
|
|
# Extract the desired output
|
|
user_repo = "/".join(path_components[1:3])
|
|
model_file = path_components[-1]
|
|
|
|
return model_file
|
|
except ValueError:
|
|
return None
|
|
|
|
|
|
async def download_file_stream(
|
|
ollama_url, file_url, file_path, file_name, chunk_size=1024 * 1024
|
|
):
|
|
done = False
|
|
|
|
if os.path.exists(file_path):
|
|
current_size = os.path.getsize(file_path)
|
|
else:
|
|
current_size = 0
|
|
|
|
headers = {"Range": f"bytes={current_size}-"} if current_size > 0 else {}
|
|
|
|
timeout = aiohttp.ClientTimeout(total=600) # Set the timeout
|
|
|
|
async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
|
|
async with session.get(file_url, headers=headers) as response:
|
|
total_size = int(response.headers.get("content-length", 0)) + current_size
|
|
|
|
with open(file_path, "ab+") as file:
|
|
async for data in response.content.iter_chunked(chunk_size):
|
|
current_size += len(data)
|
|
file.write(data)
|
|
|
|
done = current_size == total_size
|
|
progress = round((current_size / total_size) * 100, 2)
|
|
|
|
yield f'data: {{"progress": {progress}, "completed": {current_size}, "total": {total_size}}}\n\n'
|
|
|
|
if done:
|
|
file.seek(0)
|
|
hashed = calculate_sha256(file)
|
|
file.seek(0)
|
|
|
|
url = f"{ollama_url}/api/blobs/sha256:{hashed}"
|
|
response = requests.post(url, data=file)
|
|
|
|
if response.ok:
|
|
res = {
|
|
"done": done,
|
|
"blob": f"sha256:{hashed}",
|
|
"name": file_name,
|
|
}
|
|
os.remove(file_path)
|
|
|
|
yield f"data: {json.dumps(res)}\n\n"
|
|
else:
|
|
raise "Ollama: Could not create blob, Please try again."
|
|
|
|
|
|
# def number_generator():
|
|
# for i in range(1, 101):
|
|
# yield f"data: {i}\n"
|
|
|
|
|
|
# url = "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q2_K.gguf"
|
|
@app.post("/models/download")
|
|
@app.post("/models/download/{url_idx}")
|
|
async def download_model(
|
|
form_data: UrlForm,
|
|
url_idx: Optional[int] = None,
|
|
):
|
|
|
|
allowed_hosts = ["https://huggingface.co/", "https://github.com/"]
|
|
|
|
if not any(form_data.url.startswith(host) for host in allowed_hosts):
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail="Invalid file_url. Only URLs from allowed hosts are permitted.",
|
|
)
|
|
|
|
if url_idx == None:
|
|
url_idx = 0
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
|
|
file_name = parse_huggingface_url(form_data.url)
|
|
|
|
if file_name:
|
|
file_path = f"{UPLOAD_DIR}/{file_name}"
|
|
|
|
return StreamingResponse(
|
|
download_file_stream(url, form_data.url, file_path, file_name),
|
|
)
|
|
else:
|
|
return None
|
|
|
|
|
|
@app.post("/models/upload")
|
|
@app.post("/models/upload/{url_idx}")
|
|
def upload_model(file: UploadFile = File(...), url_idx: Optional[int] = None):
|
|
if url_idx == None:
|
|
url_idx = 0
|
|
ollama_url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
|
|
file_path = f"{UPLOAD_DIR}/{file.filename}"
|
|
|
|
# Save file in chunks
|
|
with open(file_path, "wb+") as f:
|
|
for chunk in file.file:
|
|
f.write(chunk)
|
|
|
|
def file_process_stream():
|
|
nonlocal ollama_url
|
|
total_size = os.path.getsize(file_path)
|
|
chunk_size = 1024 * 1024
|
|
try:
|
|
with open(file_path, "rb") as f:
|
|
total = 0
|
|
done = False
|
|
|
|
while not done:
|
|
chunk = f.read(chunk_size)
|
|
if not chunk:
|
|
done = True
|
|
continue
|
|
|
|
total += len(chunk)
|
|
progress = round((total / total_size) * 100, 2)
|
|
|
|
res = {
|
|
"progress": progress,
|
|
"total": total_size,
|
|
"completed": total,
|
|
}
|
|
yield f"data: {json.dumps(res)}\n\n"
|
|
|
|
if done:
|
|
f.seek(0)
|
|
hashed = calculate_sha256(f)
|
|
f.seek(0)
|
|
|
|
url = f"{ollama_url}/api/blobs/sha256:{hashed}"
|
|
response = requests.post(url, data=f)
|
|
|
|
if response.ok:
|
|
res = {
|
|
"done": done,
|
|
"blob": f"sha256:{hashed}",
|
|
"name": file.filename,
|
|
}
|
|
os.remove(file_path)
|
|
yield f"data: {json.dumps(res)}\n\n"
|
|
else:
|
|
raise Exception(
|
|
"Ollama: Could not create blob, Please try again."
|
|
)
|
|
|
|
except Exception as e:
|
|
res = {"error": str(e)}
|
|
yield f"data: {json.dumps(res)}\n\n"
|
|
|
|
return StreamingResponse(file_process_stream(), media_type="text/event-stream")
|
|
|
|
|
|
# async def upload_model(file: UploadFile = File(), url_idx: Optional[int] = None):
|
|
# if url_idx == None:
|
|
# url_idx = 0
|
|
# url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
|
|
# file_location = os.path.join(UPLOAD_DIR, file.filename)
|
|
# total_size = file.size
|
|
|
|
# async def file_upload_generator(file):
|
|
# print(file)
|
|
# try:
|
|
# async with aiofiles.open(file_location, "wb") as f:
|
|
# completed_size = 0
|
|
# while True:
|
|
# chunk = await file.read(1024*1024)
|
|
# if not chunk:
|
|
# break
|
|
# await f.write(chunk)
|
|
# completed_size += len(chunk)
|
|
# progress = (completed_size / total_size) * 100
|
|
|
|
# print(progress)
|
|
# yield f'data: {json.dumps({"status": "uploading", "percentage": progress, "total": total_size, "completed": completed_size, "done": False})}\n'
|
|
# except Exception as e:
|
|
# print(e)
|
|
# yield f"data: {json.dumps({'status': 'error', 'message': str(e)})}\n"
|
|
# finally:
|
|
# await file.close()
|
|
# print("done")
|
|
# yield f'data: {json.dumps({"status": "completed", "percentage": 100, "total": total_size, "completed": completed_size, "done": True})}\n'
|
|
|
|
# return StreamingResponse(
|
|
# file_upload_generator(copy.deepcopy(file)), media_type="text/event-stream"
|
|
# )
|
|
|
|
|
|
@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
|
|
async def deprecated_proxy(
|
|
path: str, request: Request, user=Depends(get_verified_user)
|
|
):
|
|
url = app.state.config.OLLAMA_BASE_URLS[0]
|
|
target_url = f"{url}/{path}"
|
|
|
|
body = await request.body()
|
|
headers = dict(request.headers)
|
|
|
|
if user.role in ["user", "admin"]:
|
|
if path in ["pull", "delete", "push", "copy", "create"]:
|
|
if user.role != "admin":
|
|
raise HTTPException(
|
|
status_code=status.HTTP_401_UNAUTHORIZED,
|
|
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
|
)
|
|
else:
|
|
raise HTTPException(
|
|
status_code=status.HTTP_401_UNAUTHORIZED,
|
|
detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
|
|
)
|
|
|
|
headers.pop("host", None)
|
|
headers.pop("authorization", None)
|
|
headers.pop("origin", None)
|
|
headers.pop("referer", None)
|
|
|
|
r = None
|
|
|
|
def get_request():
|
|
nonlocal r
|
|
|
|
request_id = str(uuid.uuid4())
|
|
try:
|
|
REQUEST_POOL.append(request_id)
|
|
|
|
def stream_content():
|
|
try:
|
|
if path == "generate":
|
|
data = json.loads(body.decode("utf-8"))
|
|
|
|
if data.get("stream", True):
|
|
yield json.dumps({"id": request_id, "done": False}) + "\n"
|
|
|
|
elif path == "chat":
|
|
yield json.dumps({"id": request_id, "done": False}) + "\n"
|
|
|
|
for chunk in r.iter_content(chunk_size=8192):
|
|
if request_id in REQUEST_POOL:
|
|
yield chunk
|
|
else:
|
|
log.warning("User: canceled request")
|
|
break
|
|
finally:
|
|
if hasattr(r, "close"):
|
|
r.close()
|
|
if request_id in REQUEST_POOL:
|
|
REQUEST_POOL.remove(request_id)
|
|
|
|
r = requests.request(
|
|
method=request.method,
|
|
url=target_url,
|
|
data=body,
|
|
headers=headers,
|
|
stream=True,
|
|
)
|
|
|
|
r.raise_for_status()
|
|
|
|
# r.close()
|
|
|
|
return StreamingResponse(
|
|
stream_content(),
|
|
status_code=r.status_code,
|
|
headers=dict(r.headers),
|
|
)
|
|
except Exception as e:
|
|
raise e
|
|
|
|
try:
|
|
return await run_in_threadpool(get_request)
|
|
except Exception as e:
|
|
error_detail = "Open WebUI: Server Connection Error"
|
|
if r is not None:
|
|
try:
|
|
res = r.json()
|
|
if "error" in res:
|
|
error_detail = f"Ollama: {res['error']}"
|
|
except:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|