mirror of
https://github.com/open-webui/open-webui.git
synced 2025-12-16 11:57:51 +01:00
refac: switch to meta and params, remove source
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@@ -78,9 +78,7 @@ with open(LITELLM_CONFIG_DIR, "r") as file:
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app.state.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER.value
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app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST.value
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app.state.MODEL_CONFIG = [
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model.to_form() for model in Models.get_all_models_by_source("litellm")
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]
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app.state.MODEL_CONFIG = Models.get_all_models()
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app.state.ENABLE = ENABLE_LITELLM
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app.state.CONFIG = litellm_config
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@@ -66,9 +66,7 @@ app.state.config = AppConfig()
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app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
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app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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app.state.MODEL_CONFIG = [
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model.to_form() for model in Models.get_all_models_by_source("ollama")
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]
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app.state.MODEL_CONFIG = Models.get_all_models()
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app.state.config.OLLAMA_BASE_URLS = OLLAMA_BASE_URLS
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app.state.MODELS = {}
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@@ -52,9 +52,7 @@ app.state.config = AppConfig()
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app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
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app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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app.state.MODEL_CONFIG = [
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model.to_form() for model in Models.get_all_models_by_source("openai")
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]
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app.state.MODEL_CONFIG = Models.get_all_models()
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app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API
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@@ -1,3 +1,5 @@
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import json
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from peewee import *
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from peewee_migrate import Router
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from playhouse.db_url import connect
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@@ -8,6 +10,16 @@ import logging
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log = logging.getLogger(__name__)
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log.setLevel(SRC_LOG_LEVELS["DB"])
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class JSONField(TextField):
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def db_value(self, value):
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return json.dumps(value)
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def python_value(self, value):
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if value is not None:
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return json.loads(value)
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# Check if the file exists
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if os.path.exists(f"{DATA_DIR}/ollama.db"):
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# Rename the file
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@@ -1,4 +1,4 @@
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"""Peewee migrations -- 008_add_models.py.
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"""Peewee migrations -- 009_add_models.py.
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Some examples (model - class or model name)::
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@@ -39,20 +39,15 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
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@migrator.create_model
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class Model(pw.Model):
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id = pw.TextField()
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source = pw.TextField()
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base_model = pw.TextField(null=True)
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id = pw.TextField(unique=True)
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meta = pw.TextField()
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base_model_id = pw.TextField(null=True)
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name = pw.TextField()
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params = pw.TextField()
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class Meta:
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table_name = "model"
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indexes = (
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# Create a unique index on the id, source columns
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(("id", "source"), True),
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)
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def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
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"""Write your rollback migrations here."""
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@@ -6,7 +6,7 @@ import peewee as pw
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from playhouse.shortcuts import model_to_dict
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from pydantic import BaseModel
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from apps.web.internal.db import DB
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from apps.web.internal.db import DB, JSONField
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from config import SRC_LOG_LEVELS
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@@ -22,6 +22,12 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
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# ModelParams is a model for the data stored in the params field of the Model table
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# It isn't currently used in the backend, but it's here as a reference
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class ModelParams(BaseModel):
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pass
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# ModelMeta is a model for the data stored in the meta field of the Model table
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# It isn't currently used in the backend, but it's here as a reference
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class ModelMeta(BaseModel):
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description: str
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"""
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User-facing description of the model.
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@@ -34,50 +40,42 @@ class ModelParams(BaseModel):
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class Model(pw.Model):
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id = pw.TextField()
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id = pw.TextField(unique=True)
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"""
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The model's id as used in the API. If set to an existing model, it will override the model.
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"""
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source = pw.TextField()
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meta = JSONField()
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"""
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The source of the model, e.g., ollama, openai, or litellm.
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Holds a JSON encoded blob of metadata, see `ModelMeta`.
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"""
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base_model = pw.TextField(null=True)
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base_model_id = pw.TextField(null=True)
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"""
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An optional pointer to the actual model that should be used when proxying requests.
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Currently unused - but will be used to support Modelfile like behaviour in the future
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An optional pointer to the actual model that should be used when proxying requests.
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Currently unused - but will be used to support Modelfile like behaviour in the future
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"""
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name = pw.TextField()
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"""
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The human-readable display name of the model.
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The human-readable display name of the model.
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"""
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params = pw.TextField()
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params = JSONField()
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"""
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Holds a JSON encoded blob of parameters, see `ModelParams`.
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Holds a JSON encoded blob of parameters, see `ModelParams`.
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"""
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class Meta:
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database = DB
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indexes = (
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# Create a unique index on the id, source columns
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(("id", "source"), True),
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)
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class ModelModel(BaseModel):
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id: str
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source: str
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base_model: Optional[str] = None
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meta: ModelMeta
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base_model_id: Optional[str] = None
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name: str
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params: str
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def to_form(self) -> "ModelForm":
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return ModelForm(**{**self.model_dump(), "params": json.loads(self.params)})
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params: ModelParams
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####################
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@@ -85,17 +83,6 @@ class ModelModel(BaseModel):
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####################
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class ModelForm(BaseModel):
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id: str
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source: str
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base_model: Optional[str] = None
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name: str
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params: dict
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def to_db_model(self) -> ModelModel:
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return ModelModel(**{**self.model_dump(), "params": json.dumps(self.params)})
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class ModelsTable:
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def __init__(
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@@ -108,51 +95,37 @@ class ModelsTable:
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def get_all_models(self) -> list[ModelModel]:
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return [ModelModel(**model_to_dict(model)) for model in Model.select()]
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def get_all_models_by_source(self, source: str) -> list[ModelModel]:
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return [
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ModelModel(**model_to_dict(model))
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for model in Model.select().where(Model.source == source)
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]
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def update_all_models(self, models: list[ModelForm]) -> bool:
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def update_all_models(self, models: list[ModelModel]) -> bool:
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try:
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with self.db.atomic():
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# Fetch current models from the database
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current_models = self.get_all_models()
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current_model_dict = {
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(model.id, model.source): model for model in current_models
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}
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current_model_dict = {model.id: model for model in current_models}
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# Create a set of model IDs and sources from the current models and the new models
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# Create a set of model IDs from the current models and the new models
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current_model_keys = set(current_model_dict.keys())
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new_model_keys = set((model.id, model.source) for model in models)
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new_model_keys = set(model.id for model in models)
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# Determine which models need to be created, updated, or deleted
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models_to_create = [
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model
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for model in models
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if (model.id, model.source) not in current_model_keys
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model for model in models if model.id not in current_model_keys
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]
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models_to_update = [
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model
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for model in models
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if (model.id, model.source) in current_model_keys
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model for model in models if model.id in current_model_keys
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]
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models_to_delete = current_model_keys - new_model_keys
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# Perform the necessary database operations
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for model in models_to_create:
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Model.create(**model.to_db_model().model_dump())
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Model.create(**model.model_dump())
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for model in models_to_update:
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Model.update(**model.to_db_model().model_dump()).where(
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(Model.id == model.id) & (Model.source == model.source)
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Model.update(**model.model_dump()).where(
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Model.id == model.id
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).execute()
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for model_id, model_source in models_to_delete:
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Model.delete().where(
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(Model.id == model_id) & (Model.source == model_source)
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).execute()
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Model.delete().where(Model.id == model_id).execute()
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return True
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except Exception as e:
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@@ -37,7 +37,7 @@ import asyncio
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from pydantic import BaseModel
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from typing import List, Optional
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from apps.web.models.models import Models, ModelModel, ModelForm
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from apps.web.models.models import Models, ModelModel
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from utils.utils import get_admin_user
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from apps.rag.utils import rag_messages
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@@ -112,7 +112,7 @@ app.state.config = AppConfig()
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app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
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app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
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app.state.MODEL_CONFIG = [model.to_form() for model in Models.get_all_models()]
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app.state.MODEL_CONFIG = Models.get_all_models()
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app.state.config.WEBHOOK_URL = WEBHOOK_URL
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@@ -320,7 +320,7 @@ async def update_model_filter_config(
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class SetModelConfigForm(BaseModel):
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models: List[ModelForm]
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models: List[ModelModel]
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@app.post("/api/config/models")
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@@ -333,19 +333,10 @@ async def update_model_config(
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detail=ERROR_MESSAGES.DEFAULT("Failed to update model config"),
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)
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ollama_app.state.MODEL_CONFIG = [
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model for model in form_data.models if model.source == "ollama"
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]
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openai_app.state.MODEL_CONFIG = [
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model for model in form_data.models if model.source == "openai"
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]
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litellm_app.state.MODEL_CONFIG = [
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model for model in form_data.models if model.source == "litellm"
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]
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app.state.MODEL_CONFIG = [model for model in form_data.models]
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ollama_app.state.MODEL_CONFIG = form_data.models
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openai_app.state.MODEL_CONFIG = form_data.models
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litellm_app.state.MODEL_CONFIG = form_data.models
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app.state.MODEL_CONFIG = form_data.models
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return {"models": app.state.MODEL_CONFIG}
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