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_OLLAMA_API, OLLAMA_BASE_URLS, OLLAMA_API_CONFIGS, UPLOAD_DIR, AppConfig, ) from open_webui.env import ( AIOHTTP_CLIENT_TIMEOUT, AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST, ) from open_webui.constants import ERROR_MESSAGES from open_webui.env import ENV, 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 from open_webui.utils.access_control import has_access log = logging.getLogger(__name__) log.setLevel(SRC_LOG_LEVELS["OLLAMA"]) app = FastAPI( docs_url="/docs" if ENV == "dev" else None, openapi_url="/openapi.json" if ENV == "dev" else None, redoc_url=None, ) app.add_middleware( CORSMiddleware, allow_origins=CORS_ALLOW_ORIGIN, allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) app.state.config = AppConfig() app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS app.state.config.OLLAMA_API_CONFIGS = OLLAMA_API_CONFIGS # 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.head("/") @app.get("/") async def get_status(): return {"status": True} class ConnectionVerificationForm(BaseModel): url: str key: Optional[str] = None @app.post("/verify") async def verify_connection( form_data: ConnectionVerificationForm, user=Depends(get_admin_user) ): url = form_data.url key = form_data.key headers = {} if key: headers["Authorization"] = f"Bearer {key}" timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST) async with aiohttp.ClientSession(timeout=timeout) as session: try: async with session.get(f"{url}/api/version", headers=headers) as r: if r.status != 200: # Extract response error details if available error_detail = f"HTTP Error: {r.status}" res = await r.json() if "error" in res: error_detail = f"External Error: {res['error']}" raise Exception(error_detail) response_data = await r.json() return response_data except aiohttp.ClientError as e: # ClientError covers all aiohttp requests issues log.exception(f"Client error: {str(e)}") # Handle aiohttp-specific connection issues, timeout etc. raise HTTPException( status_code=500, detail="Open WebUI: Server Connection Error" ) except Exception as e: log.exception(f"Unexpected error: {e}") # Generic error handler in case parsing JSON or other steps fail error_detail = f"Unexpected error: {str(e)}" raise HTTPException(status_code=500, detail=error_detail) @app.get("/config") async def get_config(user=Depends(get_admin_user)): return { "ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API, "OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS, "OLLAMA_API_CONFIGS": app.state.config.OLLAMA_API_CONFIGS, } class OllamaConfigForm(BaseModel): ENABLE_OLLAMA_API: Optional[bool] = None OLLAMA_BASE_URLS: list[str] OLLAMA_API_CONFIGS: dict @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 app.state.config.OLLAMA_BASE_URLS = form_data.OLLAMA_BASE_URLS app.state.config.OLLAMA_API_CONFIGS = form_data.OLLAMA_API_CONFIGS # Remove any extra configs config_urls = app.state.config.OLLAMA_API_CONFIGS.keys() for url in list(app.state.config.OLLAMA_BASE_URLS): if url not in config_urls: app.state.config.OLLAMA_API_CONFIGS.pop(url, None) return { "ENABLE_OLLAMA_API": app.state.config.ENABLE_OLLAMA_API, "OLLAMA_BASE_URLS": app.state.config.OLLAMA_BASE_URLS, "OLLAMA_API_CONFIGS": app.state.config.OLLAMA_API_CONFIGS, } async def aiohttp_get(url, key=None): timeout = aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT_OPENAI_MODEL_LIST) try: headers = {"Authorization": f"Bearer {key}"} if key else {} async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session: async with session.get(url, headers=headers) 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) ) api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {"Content-Type": "application/json"} if key: headers["Authorization"] = f"Bearer {key}" r = await session.post( url, data=payload, headers=headers, ) 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: id = model["model"] if id not in merged_models: model["urls"] = [idx] merged_models[id] = model else: merged_models[id]["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 = [] for idx, url in enumerate(app.state.config.OLLAMA_BASE_URLS): if url not in app.state.config.OLLAMA_API_CONFIGS: tasks.append(aiohttp_get(f"{url}/api/tags")) else: api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) enable = api_config.get("enable", True) key = api_config.get("key", None) if enable: tasks.append(aiohttp_get(f"{url}/api/tags", key)) else: tasks.append(asyncio.ensure_future(asyncio.sleep(0, None))) responses = await asyncio.gather(*tasks) for idx, response in enumerate(responses): if response: url = app.state.config.OLLAMA_BASE_URLS[idx] api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) prefix_id = api_config.get("prefix_id", None) model_ids = api_config.get("model_ids", []) if len(model_ids) != 0 and "models" in response: response["models"] = list( filter( lambda model: model["model"] in model_ids, response["models"], ) ) if prefix_id: for model in response.get("models", []): model["model"] = f"{prefix_id}.{model['model']}" print(responses) models = { "models": merge_models_lists( map( lambda response: response.get("models", []) if response else None, responses, ) ) } else: 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) ): models = [] if url_idx is None: models = await get_all_models() else: url = app.state.config.OLLAMA_BASE_URLS[url_idx] api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {} if key: headers["Authorization"] = f"Bearer {key}" r = None try: r = requests.request(method="GET", url=f"{url}/api/tags", headers=headers) r.raise_for_status() models = 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, ) if user.role == "user": # Filter models based on user access control filtered_models = [] for model in models.get("models", []): model_info = Models.get_model_by_id(model["model"]) if model_info: if user.id == model_info.user_id or has_access( user.id, type="read", access_control=model_info.access_control ): filtered_models.append(model) models["models"] = filtered_models return models @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 = [ aiohttp_get( f"{url}/api/version", app.state.config.OLLAMA_API_CONFIGS.get(url, {}).get("key", None), ) 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: model_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} if form_data.name in models: url_idx = 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: model_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} if form_data.source in models: url_idx = 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}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {"Content-Type": "application/json"} if key: headers["Authorization"] = f"Bearer {key}" r = requests.request( method="POST", url=f"{url}/api/copy", headers=headers, 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: model_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} if form_data.name in models: url_idx = 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}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {"Content-Type": "application/json"} if key: headers["Authorization"] = f"Bearer {key}" r = requests.request( method="DELETE", url=f"{url}/api/delete", data=form_data.model_dump_json(exclude_none=True).encode(), headers=headers, ) 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)): model_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} if form_data.name not in models: raise HTTPException( status_code=400, detail=ERROR_MESSAGES.MODEL_NOT_FOUND(form_data.name), ) url_idx = random.choice(models[form_data.name]["urls"]) url = app.state.config.OLLAMA_BASE_URLS[url_idx] log.info(f"url: {url}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {"Content-Type": "application/json"} if key: headers["Authorization"] = f"Bearer {key}" r = requests.request( method="POST", url=f"{url}/api/show", headers=headers, 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 await generate_ollama_embeddings(form_data=form_data, url_idx=url_idx) async 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_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} model = form_data.model if ":" not in model: model = f"{model}:latest" if model in models: url_idx = random.choice(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}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {"Content-Type": "application/json"} if key: headers["Authorization"] = f"Bearer {key}" r = requests.request( method="POST", url=f"{url}/api/embeddings", headers=headers, 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, ) async 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_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} model = form_data.model if ":" not in model: model = f"{model}:latest" if model in models: url_idx = random.choice(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}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) key = api_config.get("key", None) headers = {"Content-Type": "application/json"} if key: headers["Authorization"] = f"Bearer {key}" r = requests.request( method="POST", url=f"{url}/api/embed", headers=headers, 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 suffix: Optional[str] = None images: Optional[list[str]] = None format: Optional[str] = None options: Optional[dict] = None system: Optional[str] = None template: Optional[str] = None context: Optional[list[int]] = 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_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} model = form_data.model if ":" not in model: model = f"{model}:latest" if model in models: url_idx = random.choice(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] api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) prefix_id = api_config.get("prefix_id", None) if prefix_id: form_data.model = form_data.model.replace(f"{prefix_id}.", "") 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] = True keep_alive: Optional[Union[int, str]] = None async def get_ollama_url(url_idx: Optional[int], model: str): if url_idx is None: model_list = await get_all_models() models = {model["model"]: model for model in model_list["models"]} if model not in models: raise HTTPException( status_code=400, detail=ERROR_MESSAGES.MODEL_NOT_FOUND(model), ) url_idx = random.choice(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 = payload["model"] 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) # Check if user has access to the model if not bypass_filter and user.role == "user": if not ( user.id == model_info.user_id or has_access( user.id, type="read", access_control=model_info.access_control ) ): raise HTTPException( status_code=403, detail="Model not found", ) elif not bypass_filter: if user.role != "admin": raise HTTPException( status_code=403, detail="Model not found", ) if ":" not in payload["model"]: payload["model"] = f"{payload['model']}:latest" url = await get_ollama_url(url_idx, payload["model"]) log.info(f"url: {url}") log.debug(f"generate_chat_completion() - 2.payload = {payload}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) prefix_id = api_config.get("prefix_id", None) if prefix_id: payload["model"] = payload["model"].replace(f"{prefix_id}.", "") 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, list[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), ): try: completion_form = OpenAIChatCompletionForm(**form_data) except Exception as e: log.exception(e) raise HTTPException( status_code=400, detail=str(e), ) payload = {**completion_form.model_dump(exclude_none=True, exclude=["metadata"])} if "metadata" in payload: del payload["metadata"] model_id = completion_form.model if ":" not in model_id: model_id = f"{model_id}:latest" 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) # Check if user has access to the model if user.role == "user": if not ( user.id == model_info.user_id or has_access( user.id, type="read", access_control=model_info.access_control ) ): raise HTTPException( status_code=403, detail="Model not found", ) else: if user.role != "admin": raise HTTPException( status_code=403, detail="Model not found", ) if ":" not in payload["model"]: payload["model"] = f"{payload['model']}:latest" url = await get_ollama_url(url_idx, payload["model"]) log.info(f"url: {url}") api_config = app.state.config.OLLAMA_API_CONFIGS.get(url, {}) prefix_id = api_config.get("prefix_id", None) if prefix_id: payload["model"] = payload["model"].replace(f"{prefix_id}.", "") 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), ): models = [] if url_idx is None: model_list = await get_all_models() models = [ { "id": model["model"], "object": "model", "created": int(time.time()), "owned_by": "openai", } for model in model_list["models"] ] 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() model_list = r.json() models = [ { "id": model["model"], "object": "model", "created": int(time.time()), "owned_by": "openai", } for model in models["models"] ] 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, ) if user.role == "user": # Filter models based on user access control filtered_models = [] for model in models: model_info = Models.get_model_by_id(model["id"]) if model_info: if user.id == model_info.user_id or has_access( user.id, type="read", access_control=model_info.access_control ): filtered_models.append(model) models = filtered_models return { "data": models, "object": "list", } 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")