mirror of
https://github.com/open-webui/open-webui
synced 2024-11-16 21:42:58 +00:00
1122 lines
32 KiB
Python
1122 lines
32 KiB
Python
import asyncio
|
|
import json
|
|
import logging
|
|
import os
|
|
import random
|
|
import re
|
|
import time
|
|
from typing import Optional, Union
|
|
from urllib.parse import urlparse
|
|
|
|
import aiohttp
|
|
import requests
|
|
from open_webui.apps.webui.models.models import Models
|
|
from open_webui.config import (
|
|
CORS_ALLOW_ORIGIN,
|
|
ENABLE_MODEL_FILTER,
|
|
ENABLE_OLLAMA_API,
|
|
MODEL_FILTER_LIST,
|
|
OLLAMA_BASE_URLS,
|
|
UPLOAD_DIR,
|
|
AppConfig,
|
|
)
|
|
from open_webui.env import AIOHTTP_CLIENT_TIMEOUT
|
|
|
|
|
|
from open_webui.constants import ERROR_MESSAGES
|
|
from open_webui.env import SRC_LOG_LEVELS
|
|
from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile
|
|
from fastapi.middleware.cors import CORSMiddleware
|
|
from fastapi.responses import StreamingResponse
|
|
from pydantic import BaseModel, ConfigDict
|
|
from starlette.background import BackgroundTask
|
|
|
|
|
|
from open_webui.utils.misc import (
|
|
calculate_sha256,
|
|
)
|
|
from open_webui.utils.payload import (
|
|
apply_model_params_to_body_ollama,
|
|
apply_model_params_to_body_openai,
|
|
apply_model_system_prompt_to_body,
|
|
)
|
|
from open_webui.utils.utils import get_admin_user, get_verified_user
|
|
|
|
log = logging.getLogger(__name__)
|
|
log.setLevel(SRC_LOG_LEVELS["OLLAMA"])
|
|
|
|
app = FastAPI()
|
|
app.add_middleware(
|
|
CORSMiddleware,
|
|
allow_origins=CORS_ALLOW_ORIGIN,
|
|
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=3)
|
|
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: Union[str, bytes], stream: bool = True, content_type=None
|
|
):
|
|
r = None
|
|
try:
|
|
session = aiohttp.ClientSession(
|
|
trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
|
|
)
|
|
r = await session.post(
|
|
url,
|
|
data=payload,
|
|
headers={"Content-Type": "application/json"},
|
|
)
|
|
r.raise_for_status()
|
|
|
|
if stream:
|
|
headers = dict(r.headers)
|
|
if content_type:
|
|
headers["Content-Type"] = content_type
|
|
return StreamingResponse(
|
|
r.content,
|
|
status_code=r.status,
|
|
headers=headers,
|
|
background=BackgroundTask(
|
|
cleanup_response, response=r, session=session
|
|
),
|
|
)
|
|
else:
|
|
res = await r.json()
|
|
await cleanup_response(r, session)
|
|
return res
|
|
|
|
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 Exception:
|
|
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())
|
|
|
|
|
|
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 is 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 Exception:
|
|
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 app.state.config.ENABLE_OLLAMA_API:
|
|
if url_idx is 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 Exception:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
else:
|
|
return {"version": False}
|
|
|
|
|
|
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}")
|
|
|
|
# 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 is 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 is 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}")
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/copy",
|
|
headers={"Content-Type": "application/json"},
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
|
|
try:
|
|
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 Exception:
|
|
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 is 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}")
|
|
|
|
r = requests.request(
|
|
method="DELETE",
|
|
url=f"{url}/api/delete",
|
|
headers={"Content-Type": "application/json"},
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
try:
|
|
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 Exception:
|
|
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}")
|
|
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/show",
|
|
headers={"Content-Type": "application/json"},
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
try:
|
|
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 Exception:
|
|
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
|
|
|
|
|
|
class GenerateEmbedForm(BaseModel):
|
|
model: str
|
|
input: list[str] | str
|
|
truncate: Optional[bool] = None
|
|
options: Optional[dict] = None
|
|
keep_alive: Optional[Union[int, str]] = None
|
|
|
|
|
|
@app.post("/api/embed")
|
|
@app.post("/api/embed/{url_idx}")
|
|
async def generate_embeddings(
|
|
form_data: GenerateEmbedForm,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
return generate_ollama_batch_embeddings(form_data, url_idx)
|
|
|
|
|
|
@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),
|
|
):
|
|
return generate_ollama_embeddings(form_data=form_data, url_idx=url_idx)
|
|
|
|
|
|
def generate_ollama_embeddings(
|
|
form_data: GenerateEmbeddingsForm,
|
|
url_idx: Optional[int] = None,
|
|
):
|
|
log.info(f"generate_ollama_embeddings {form_data}")
|
|
|
|
if url_idx is 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}")
|
|
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/embeddings",
|
|
headers={"Content-Type": "application/json"},
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
try:
|
|
r.raise_for_status()
|
|
|
|
data = r.json()
|
|
|
|
log.info(f"generate_ollama_embeddings {data}")
|
|
|
|
if "embedding" in data:
|
|
return data
|
|
else:
|
|
raise Exception("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 Exception:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise HTTPException(
|
|
status_code=r.status_code if r else 500,
|
|
detail=error_detail,
|
|
)
|
|
|
|
|
|
def generate_ollama_batch_embeddings(
|
|
form_data: GenerateEmbedForm,
|
|
url_idx: Optional[int] = None,
|
|
):
|
|
log.info(f"generate_ollama_batch_embeddings {form_data}")
|
|
|
|
if url_idx is 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}")
|
|
|
|
r = requests.request(
|
|
method="POST",
|
|
url=f"{url}/api/embed",
|
|
headers={"Content-Type": "application/json"},
|
|
data=form_data.model_dump_json(exclude_none=True).encode(),
|
|
)
|
|
try:
|
|
r.raise_for_status()
|
|
|
|
data = r.json()
|
|
|
|
log.info(f"generate_ollama_batch_embeddings {data}")
|
|
|
|
if "embeddings" in data:
|
|
return data
|
|
else:
|
|
raise Exception("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 Exception:
|
|
error_detail = f"Ollama: {e}"
|
|
|
|
raise Exception(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 is 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
|
|
|
|
|
|
def get_ollama_url(url_idx: Optional[int], model: str):
|
|
if url_idx is None:
|
|
if model not in app.state.MODELS:
|
|
raise HTTPException(
|
|
status_code=400,
|
|
detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model),
|
|
)
|
|
url_idx = random.choice(app.state.MODELS[model]["urls"])
|
|
url = app.state.config.OLLAMA_BASE_URLS[url_idx]
|
|
return url
|
|
|
|
|
|
@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),
|
|
bypass_filter: Optional[bool] = False,
|
|
):
|
|
payload = {**form_data.model_dump(exclude_none=True)}
|
|
log.debug(f"generate_chat_completion() - 1.payload = {payload}")
|
|
if "metadata" in payload:
|
|
del payload["metadata"]
|
|
|
|
model_id = form_data.model
|
|
|
|
if not bypass_filter and app.state.config.ENABLE_MODEL_FILTER:
|
|
if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST:
|
|
raise HTTPException(
|
|
status_code=403,
|
|
detail="Model not found",
|
|
)
|
|
|
|
model_info = Models.get_model_by_id(model_id)
|
|
|
|
if model_info:
|
|
if model_info.base_model_id:
|
|
payload["model"] = model_info.base_model_id
|
|
|
|
params = model_info.params.model_dump()
|
|
|
|
if params:
|
|
if payload.get("options") is None:
|
|
payload["options"] = {}
|
|
|
|
payload["options"] = apply_model_params_to_body_ollama(
|
|
params, payload["options"]
|
|
)
|
|
payload = apply_model_system_prompt_to_body(params, payload, user)
|
|
|
|
if ":" not in payload["model"]:
|
|
payload["model"] = f"{payload['model']}:latest"
|
|
|
|
url = get_ollama_url(url_idx, payload["model"])
|
|
log.info(f"url: {url}")
|
|
log.debug(f"generate_chat_completion() - 2.payload = {payload}")
|
|
|
|
return await post_streaming_url(
|
|
f"{url}/api/chat",
|
|
json.dumps(payload),
|
|
stream=form_data.stream,
|
|
content_type="application/x-ndjson",
|
|
)
|
|
|
|
|
|
# TODO: we should update this part once Ollama supports other types
|
|
class OpenAIChatMessageContent(BaseModel):
|
|
type: str
|
|
model_config = ConfigDict(extra="allow")
|
|
|
|
|
|
class OpenAIChatMessage(BaseModel):
|
|
role: str
|
|
content: Union[str, OpenAIChatMessageContent]
|
|
|
|
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: dict,
|
|
url_idx: Optional[int] = None,
|
|
user=Depends(get_verified_user),
|
|
):
|
|
completion_form = OpenAIChatCompletionForm(**form_data)
|
|
payload = {**completion_form.model_dump(exclude_none=True, exclude=["metadata"])}
|
|
if "metadata" in payload:
|
|
del payload["metadata"]
|
|
|
|
model_id = completion_form.model
|
|
|
|
if app.state.config.ENABLE_MODEL_FILTER:
|
|
if user.role == "user" and model_id not in app.state.config.MODEL_FILTER_LIST:
|
|
raise HTTPException(
|
|
status_code=403,
|
|
detail="Model not found",
|
|
)
|
|
|
|
model_info = Models.get_model_by_id(model_id)
|
|
|
|
if model_info:
|
|
if model_info.base_model_id:
|
|
payload["model"] = model_info.base_model_id
|
|
|
|
params = model_info.params.model_dump()
|
|
|
|
if params:
|
|
payload = apply_model_params_to_body_openai(params, payload)
|
|
payload = apply_model_system_prompt_to_body(params, payload, user)
|
|
|
|
if ":" not in payload["model"]:
|
|
payload["model"] = f"{payload['model']}:latest"
|
|
|
|
url = get_ollama_url(url_idx, payload["model"])
|
|
log.info(f"url: {url}")
|
|
|
|
return await post_streaming_url(
|
|
f"{url}/v1/chat/completions",
|
|
json.dumps(payload),
|
|
stream=payload.get("stream", False),
|
|
)
|
|
|
|
|
|
@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 is 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 Exception:
|
|
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
|
|
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."
|
|
|
|
|
|
# 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,
|
|
user=Depends(get_admin_user),
|
|
):
|
|
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 is 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,
|
|
user=Depends(get_admin_user),
|
|
):
|
|
if url_idx is 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")
|