open-webui/backend/open_webui/utils/models.py

import time
import logging
import asyncio
import sys

from aiocache import cached
from fastapi import Request

from open_webui.socket.utils import RedisDict
from open_webui.routers import openai, ollama
from open_webui.functions import get_function_models


from open_webui.models.functions import Functions
from open_webui.models.models import Models
from open_webui.models.access_grants import AccessGrants
from open_webui.models.groups import Groups


from open_webui.utils.plugin import (
    load_function_module_by_id,
    get_function_module_from_cache,
)
from open_webui.utils.access_control import has_access


from open_webui.config import (
    BYPASS_ADMIN_ACCESS_CONTROL,
    DEFAULT_ARENA_MODEL,
)

from open_webui.env import BYPASS_MODEL_ACCESS_CONTROL, GLOBAL_LOG_LEVEL
from open_webui.models.users import UserModel

logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
log = logging.getLogger(__name__)


async def fetch_ollama_models(request: Request, user: UserModel = None):
    raw_ollama_models = await ollama.get_all_models(request, user=user)
    return [
        {
            "id": model["model"],
            "name": model["name"],
            "object": "model",
            "created": int(time.time()),
            "owned_by": "ollama",
            "ollama": model,
            "connection_type": model.get("connection_type", "local"),
            "tags": model.get("tags", []),
        }
        for model in raw_ollama_models["models"]
    ]


async def fetch_openai_models(request: Request, user: UserModel = None):
    openai_response = await openai.get_all_models(request, user=user)
    return openai_response["data"]


async def get_all_base_models(request: Request, user: UserModel = None):
    openai_task = (
        fetch_openai_models(request, user)
        if request.app.state.config.ENABLE_OPENAI_API
        else asyncio.sleep(0, result=[])
    )
    ollama_task = (
        fetch_ollama_models(request, user)
        if request.app.state.config.ENABLE_OLLAMA_API
        else asyncio.sleep(0, result=[])
    )
    function_task = get_function_models(request)

    openai_models, ollama_models, function_models = await asyncio.gather(
        openai_task, ollama_task, function_task
    )

    return function_models + openai_models + ollama_models


async def get_all_models(request, refresh: bool = False, user: UserModel = None):
    if (
        request.app.state.MODELS
        and request.app.state.BASE_MODELS
        and (request.app.state.config.ENABLE_BASE_MODELS_CACHE and not refresh)
    ):
        base_models = request.app.state.BASE_MODELS
    else:
        base_models = await get_all_base_models(request, user=user)
        request.app.state.BASE_MODELS = base_models

    # deep copy the base models to avoid modifying the original list
    models = [model.copy() for model in base_models]

    # If there are no models, return an empty list
    if len(models) == 0:
        return []

    # Add arena models
    if request.app.state.config.ENABLE_EVALUATION_ARENA_MODELS:
        arena_models = []
        if len(request.app.state.config.EVALUATION_ARENA_MODELS) > 0:
            arena_models = [
                {
                    "id": model["id"],
                    "name": model["name"],
                    "info": {
                        "meta": model["meta"],
                    },
                    "object": "model",
                    "created": int(time.time()),
                    "owned_by": "arena",
                    "arena": True,
                }
                for model in request.app.state.config.EVALUATION_ARENA_MODELS
            ]
        else:
            # Add default arena model
            arena_models = [
                {
                    "id": DEFAULT_ARENA_MODEL["id"],
                    "name": DEFAULT_ARENA_MODEL["name"],
                    "info": {
                        "meta": DEFAULT_ARENA_MODEL["meta"],
                    },
                    "object": "model",
                    "created": int(time.time()),
                    "owned_by": "arena",
                    "arena": True,
                }
            ]
        models = models + arena_models

    global_action_ids = [
        function.id for function in Functions.get_global_action_functions()
    ]
    enabled_action_ids = [
        function.id
        for function in Functions.get_functions_by_type("action", active_only=True)
    ]

    global_filter_ids = [
        function.id for function in Functions.get_global_filter_functions()
    ]
    enabled_filter_ids = [
        function.id
        for function in Functions.get_functions_by_type("filter", active_only=True)
    ]

    custom_models = Models.get_all_models()
    for custom_model in custom_models:
        if custom_model.base_model_id is None:
            # Applied directly to a base model
            for model in models:
                if custom_model.id == model["id"] or (
                    model.get("owned_by") == "ollama"
                    and custom_model.id
                    == model["id"].split(":")[
                        0
                    ]  # Ollama may return model ids in different formats (e.g., 'llama3' vs. 'llama3:7b')
                ):
                    if custom_model.is_active:
                        model["name"] = custom_model.name
                        model["info"] = custom_model.model_dump()

                        # Set action_ids and filter_ids
                        action_ids = []
                        filter_ids = []

                        if "info" in model:
                            if "meta" in model["info"]:
                                action_ids.extend(
                                    model["info"]["meta"].get("actionIds", [])
                                )
                                filter_ids.extend(
                                    model["info"]["meta"].get("filterIds", [])
                                )

                            if "params" in model["info"]:
                                # Remove params to avoid exposing sensitive info
                                del model["info"]["params"]

                        model["action_ids"] = action_ids
                        model["filter_ids"] = filter_ids
                    else:
                        models.remove(model)

        elif custom_model.is_active and (
            custom_model.id not in [model["id"] for model in models]
        ):
            # Custom model based on a base model
            owned_by = "openai"
            connection_type = None

            pipe = None

            for m in models:
                if (
                    custom_model.base_model_id == m["id"]
                    or custom_model.base_model_id == m["id"].split(":")[0]
                ):
                    owned_by = m.get("owned_by", "unknown")
                    if "pipe" in m:
                        pipe = m["pipe"]

                    connection_type = m.get("connection_type", None)
                    break

            model = {
                "id": f"{custom_model.id}",
                "name": custom_model.name,
                "object": "model",
                "created": custom_model.created_at,
                "owned_by": owned_by,
                "connection_type": connection_type,
                "preset": True,
                **({"pipe": pipe} if pipe is not None else {}),
            }

            info = custom_model.model_dump()
            if "params" in info:
                # Remove params to avoid exposing sensitive info
                del info["params"]

            model["info"] = info

            action_ids = []
            filter_ids = []

            if custom_model.meta:
                meta = custom_model.meta.model_dump()

                if "actionIds" in meta:
                    action_ids.extend(meta["actionIds"])

                if "filterIds" in meta:
                    filter_ids.extend(meta["filterIds"])

            model["action_ids"] = action_ids
            model["filter_ids"] = filter_ids

            models.append(model)

    # Process action_ids to get the actions
    def get_action_items_from_module(function, module):
        actions = []
        if hasattr(module, "actions"):
            actions = module.actions
            return [
                {
                    "id": f"{function.id}.{action['id']}",
                    "name": action.get("name", f"{function.name} ({action['id']})"),
                    "description": function.meta.description,
                    "icon": action.get(
                        "icon_url",
                        function.meta.manifest.get("icon_url", None)
                        or getattr(module, "icon_url", None)
                        or getattr(module, "icon", None),
                    ),
                }
                for action in actions
            ]
        else:
            return [
                {
                    "id": function.id,
                    "name": function.name,
                    "description": function.meta.description,
                    "icon": function.meta.manifest.get("icon_url", None)
                    or getattr(module, "icon_url", None)
                    or getattr(module, "icon", None),
                }
            ]

    # Process filter_ids to get the filters
    def get_filter_items_from_module(function, module):
        return [
            {
                "id": function.id,
                "name": function.name,
                "description": function.meta.description,
                "icon": function.meta.manifest.get("icon_url", None)
                or getattr(module, "icon_url", None)
                or getattr(module, "icon", None),
                "has_user_valves": hasattr(module, "UserValves"),
            }
        ]

    # Batch-prefetch all needed function records to avoid N+1 queries
    all_function_ids = set()
    for model in models:
        all_function_ids.update(model.get("action_ids", []))
        all_function_ids.update(model.get("filter_ids", []))
    all_function_ids.update(global_action_ids)
    all_function_ids.update(global_filter_ids)

    functions_by_id = {
        f.id: f for f in Functions.get_functions_by_ids(list(all_function_ids))
    }

    # Pre-warm the function module cache once per unique function ID.
    # This ensures each function's DB freshness check runs exactly once,
    # not once per (model × function) pair.
    for function_id in all_function_ids:
        get_function_module_from_cache(request, function_id)

    for model in models:
        action_ids = [
            action_id
            for action_id in list(set(model.pop("action_ids", []) + global_action_ids))
            if action_id in enabled_action_ids
        ]
        filter_ids = [
            filter_id
            for filter_id in list(set(model.pop("filter_ids", []) + global_filter_ids))
            if filter_id in enabled_filter_ids
        ]

        model["actions"] = []
        for action_id in action_ids:
            action_function = functions_by_id.get(action_id)
            if action_function is None:
                log.info(f"Action not found: {action_id}")
                continue

            function_module = request.app.state.FUNCTIONS.get(action_id)
            if function_module is None:
                log.info(f"Failed to load action module: {action_id}")
                continue
            model["actions"].extend(
                get_action_items_from_module(action_function, function_module)
            )

        model["filters"] = []
        for filter_id in filter_ids:
            filter_function = functions_by_id.get(filter_id)
            if filter_function is None:
                log.info(f"Filter not found: {filter_id}")
                continue
                
            function_module = request.app.state.FUNCTIONS.get(filter_id)
            if function_module is None:
                log.info(f"Failed to load filter module: {filter_id}")
                continue
            if getattr(function_module, "toggle", None):
                model["filters"].extend(
                    get_filter_items_from_module(filter_function, function_module)
                )

    log.debug(f"get_all_models() returned {len(models)} models")

    models_dict = {model["id"]: model for model in models}
    if isinstance(request.app.state.MODELS, RedisDict):
        request.app.state.MODELS.set(models_dict)
    else:
        request.app.state.MODELS = models_dict

    return models


def check_model_access(user, model, db=None):
    if model.get("arena"):
        meta = model.get("info", {}).get("meta", {})
        access_grants = meta.get("access_grants", [])
        if not has_access(
            user.id,
            permission="read",
            access_grants=access_grants,
            db=db,
        ):
            raise Exception("Model not found")
    else:
        model_info = Models.get_model_by_id(model.get("id"), db=db)
        if not model_info:
            raise Exception("Model not found")
        elif not (
            user.id == model_info.user_id
            or AccessGrants.has_access(
                user_id=user.id,
                resource_type="model",
                resource_id=model_info.id,
                permission="read",
                db=db,
            )
        ):
            raise Exception("Model not found")


def get_filtered_models(models, user, db=None):
    # Filter out models that the user does not have access to
    if (
        user.role == "user"
        or (user.role == "admin" and not BYPASS_ADMIN_ACCESS_CONTROL)
    ) and not BYPASS_MODEL_ACCESS_CONTROL:
        model_ids = [model["id"] for model in models if not model.get("arena")]
        model_infos = {
            model_info.id: model_info
            for model_info in Models.get_models_by_ids(model_ids)
        }

        user_group_ids = {
            group.id for group in Groups.get_groups_by_member_id(user.id, db=db)
        }

        # Batch-fetch accessible resource IDs in a single query instead of N has_access calls
        accessible_model_ids = AccessGrants.get_accessible_resource_ids(
            user_id=user.id,
            resource_type="model",
            resource_ids=list(model_infos.keys()),
            permission="read",
            user_group_ids=user_group_ids,
            db=db,
        )

        filtered_models = []
        for model in models:
            if model.get("arena"):
                meta = model.get("info", {}).get("meta", {})
                access_grants = meta.get("access_grants", [])
                if has_access(
                    user.id,
                    permission="read",
                    access_grants=access_grants,
                    user_group_ids=user_group_ids,
                ):
                    filtered_models.append(model)
                continue

            model_info = model_infos.get(model["id"], None)
            if model_info:
                if (
                    (user.role == "admin" and BYPASS_ADMIN_ACCESS_CONTROL)
                    or user.id == model_info.user_id
                    or model_info.id in accessible_model_ids
                ):
                    filtered_models.append(model)

        return filtered_models
    else:
        return models