FEAT: NEW WORKFLOW ENGINE (#3160)

Co-authored-by: Joel <iamjoel007@gmail.com>
Co-authored-by: Yeuoly <admin@srmxy.cn>
Co-authored-by: JzoNg <jzongcode@gmail.com>
Co-authored-by: StyleZhang <jasonapring2015@outlook.com>
Co-authored-by: jyong <jyong@dify.ai>
Co-authored-by: nite-knite <nkCoding@gmail.com>
Co-authored-by: jyong <718720800@qq.com>

api/core/app/app_config/base_app_config_manager.py

@@ -0,0 +1,76 @@
+from typing import Optional, Union
+
+from core.app.app_config.entities import AppAdditionalFeatures, EasyUIBasedAppModelConfigFrom
+from core.app.app_config.features.file_upload.manager import FileUploadConfigManager
+from core.app.app_config.features.more_like_this.manager import MoreLikeThisConfigManager
+from core.app.app_config.features.opening_statement.manager import OpeningStatementConfigManager
+from core.app.app_config.features.retrieval_resource.manager import RetrievalResourceConfigManager
+from core.app.app_config.features.speech_to_text.manager import SpeechToTextConfigManager
+from core.app.app_config.features.suggested_questions_after_answer.manager import (
+    SuggestedQuestionsAfterAnswerConfigManager,
+)
+from core.app.app_config.features.text_to_speech.manager import TextToSpeechConfigManager
+from models.model import AppMode, AppModelConfig
+
+
+class BaseAppConfigManager:
+
+    @classmethod
+    def convert_to_config_dict(cls, config_from: EasyUIBasedAppModelConfigFrom,
+                               app_model_config: Union[AppModelConfig, dict],
+                               config_dict: Optional[dict] = None) -> dict:
+        """
+        Convert app model config to config dict
+        :param config_from: app model config from
+        :param app_model_config: app model config
+        :param config_dict: app model config dict
+        :return:
+        """
+        if config_from != EasyUIBasedAppModelConfigFrom.ARGS:
+            app_model_config_dict = app_model_config.to_dict()
+            config_dict = app_model_config_dict.copy()
+
+        return config_dict
+
+    @classmethod
+    def convert_features(cls, config_dict: dict, app_mode: AppMode) -> AppAdditionalFeatures:
+        """
+        Convert app config to app model config
+
+        :param config_dict: app config
+        :param app_mode: app mode
+        """
+        config_dict = config_dict.copy()
+
+        additional_features = AppAdditionalFeatures()
+        additional_features.show_retrieve_source = RetrievalResourceConfigManager.convert(
+            config=config_dict
+        )
+
+        additional_features.file_upload = FileUploadConfigManager.convert(
+            config=config_dict,
+            is_vision=app_mode in [AppMode.CHAT, AppMode.COMPLETION, AppMode.AGENT_CHAT]
+        )
+
+        additional_features.opening_statement, additional_features.suggested_questions = \
+            OpeningStatementConfigManager.convert(
+                config=config_dict
+            )
+
+        additional_features.suggested_questions_after_answer = SuggestedQuestionsAfterAnswerConfigManager.convert(
+            config=config_dict
+        )
+
+        additional_features.more_like_this = MoreLikeThisConfigManager.convert(
+            config=config_dict
+        )
+
+        additional_features.speech_to_text = SpeechToTextConfigManager.convert(
+            config=config_dict
+        )
+
+        additional_features.text_to_speech = TextToSpeechConfigManager.convert(
+            config=config_dict
+        )
+
+        return additional_features

api/core/app/app_config/common/sensitive_word_avoidance/manager.py

@@ -0,0 +1,50 @@
+from typing import Optional
+
+from core.app.app_config.entities import SensitiveWordAvoidanceEntity
+from core.moderation.factory import ModerationFactory
+
+
+class SensitiveWordAvoidanceConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> Optional[SensitiveWordAvoidanceEntity]:
+        sensitive_word_avoidance_dict = config.get('sensitive_word_avoidance')
+        if not sensitive_word_avoidance_dict:
+            return None
+
+        if 'enabled' in sensitive_word_avoidance_dict and sensitive_word_avoidance_dict['enabled']:
+            return SensitiveWordAvoidanceEntity(
+                type=sensitive_word_avoidance_dict.get('type'),
+                config=sensitive_word_avoidance_dict.get('config'),
+            )
+        else:
+            return None
+
+    @classmethod
+    def validate_and_set_defaults(cls, tenant_id, config: dict, only_structure_validate: bool = False) \
+            -> tuple[dict, list[str]]:
+        if not config.get("sensitive_word_avoidance"):
+            config["sensitive_word_avoidance"] = {
+                "enabled": False
+            }
+
+        if not isinstance(config["sensitive_word_avoidance"], dict):
+            raise ValueError("sensitive_word_avoidance must be of dict type")
+
+        if "enabled" not in config["sensitive_word_avoidance"] or not config["sensitive_word_avoidance"]["enabled"]:
+            config["sensitive_word_avoidance"]["enabled"] = False
+
+        if config["sensitive_word_avoidance"]["enabled"]:
+            if not config["sensitive_word_avoidance"].get("type"):
+                raise ValueError("sensitive_word_avoidance.type is required")
+
+            if not only_structure_validate:
+                typ = config["sensitive_word_avoidance"]["type"]
+                sensitive_word_avoidance_config = config["sensitive_word_avoidance"]["config"]
+
+                ModerationFactory.validate_config(
+                    name=typ,
+                    tenant_id=tenant_id,
+                    config=sensitive_word_avoidance_config
+                )
+
+        return config, ["sensitive_word_avoidance"]

api/core/app/app_config/easy_ui_based_app/agent/manager.py

@@ -0,0 +1,78 @@
+from typing import Optional
+
+from core.agent.entities import AgentEntity, AgentPromptEntity, AgentToolEntity
+from core.tools.prompt.template import REACT_PROMPT_TEMPLATES
+
+
+class AgentConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> Optional[AgentEntity]:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        if 'agent_mode' in config and config['agent_mode'] \
+                and 'enabled' in config['agent_mode']:
+
+            agent_dict = config.get('agent_mode', {})
+            agent_strategy = agent_dict.get('strategy', 'cot')
+
+            if agent_strategy == 'function_call':
+                strategy = AgentEntity.Strategy.FUNCTION_CALLING
+            elif agent_strategy == 'cot' or agent_strategy == 'react':
+                strategy = AgentEntity.Strategy.CHAIN_OF_THOUGHT
+            else:
+                # old configs, try to detect default strategy
+                if config['model']['provider'] == 'openai':
+                    strategy = AgentEntity.Strategy.FUNCTION_CALLING
+                else:
+                    strategy = AgentEntity.Strategy.CHAIN_OF_THOUGHT
+
+            agent_tools = []
+            for tool in agent_dict.get('tools', []):
+                keys = tool.keys()
+                if len(keys) >= 4:
+                    if "enabled" not in tool or not tool["enabled"]:
+                        continue
+
+                    agent_tool_properties = {
+                        'provider_type': tool['provider_type'],
+                        'provider_id': tool['provider_id'],
+                        'tool_name': tool['tool_name'],
+                        'tool_parameters': tool['tool_parameters'] if 'tool_parameters' in tool else {}
+                    }
+
+                    agent_tools.append(AgentToolEntity(**agent_tool_properties))
+
+            if 'strategy' in config['agent_mode'] and \
+                    config['agent_mode']['strategy'] not in ['react_router', 'router']:
+                agent_prompt = agent_dict.get('prompt', None) or {}
+                # check model mode
+                model_mode = config.get('model', {}).get('mode', 'completion')
+                if model_mode == 'completion':
+                    agent_prompt_entity = AgentPromptEntity(
+                        first_prompt=agent_prompt.get('first_prompt',
+                                                      REACT_PROMPT_TEMPLATES['english']['completion']['prompt']),
+                        next_iteration=agent_prompt.get('next_iteration',
+                                                        REACT_PROMPT_TEMPLATES['english']['completion'][
+                                                            'agent_scratchpad']),
+                    )
+                else:
+                    agent_prompt_entity = AgentPromptEntity(
+                        first_prompt=agent_prompt.get('first_prompt',
+                                                      REACT_PROMPT_TEMPLATES['english']['chat']['prompt']),
+                        next_iteration=agent_prompt.get('next_iteration',
+                                                        REACT_PROMPT_TEMPLATES['english']['chat']['agent_scratchpad']),
+                    )
+
+                return AgentEntity(
+                    provider=config['model']['provider'],
+                    model=config['model']['name'],
+                    strategy=strategy,
+                    prompt=agent_prompt_entity,
+                    tools=agent_tools,
+                    max_iteration=agent_dict.get('max_iteration', 5)
+                )
+
+        return None

api/core/app/app_config/easy_ui_based_app/dataset/manager.py

@@ -0,0 +1,224 @@
+from typing import Optional
+
+from core.app.app_config.entities import DatasetEntity, DatasetRetrieveConfigEntity
+from core.entities.agent_entities import PlanningStrategy
+from models.model import AppMode
+from services.dataset_service import DatasetService
+
+
+class DatasetConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> Optional[DatasetEntity]:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        dataset_ids = []
+        if 'datasets' in config.get('dataset_configs', {}):
+            datasets = config.get('dataset_configs', {}).get('datasets', {
+                'strategy': 'router',
+                'datasets': []
+            })
+
+            for dataset in datasets.get('datasets', []):
+                keys = list(dataset.keys())
+                if len(keys) == 0 or keys[0] != 'dataset':
+                    continue
+
+                dataset = dataset['dataset']
+
+                if 'enabled' not in dataset or not dataset['enabled']:
+                    continue
+
+                dataset_id = dataset.get('id', None)
+                if dataset_id:
+                    dataset_ids.append(dataset_id)
+
+        if 'agent_mode' in config and config['agent_mode'] \
+                and 'enabled' in config['agent_mode'] \
+                and config['agent_mode']['enabled']:
+
+            agent_dict = config.get('agent_mode', {})
+
+            for tool in agent_dict.get('tools', []):
+                keys = tool.keys()
+                if len(keys) == 1:
+                    # old standard
+                    key = list(tool.keys())[0]
+
+                    if key != 'dataset':
+                        continue
+
+                    tool_item = tool[key]
+
+                    if "enabled" not in tool_item or not tool_item["enabled"]:
+                        continue
+
+                    dataset_id = tool_item['id']
+                    dataset_ids.append(dataset_id)
+
+        if len(dataset_ids) == 0:
+            return None
+
+        # dataset configs
+        dataset_configs = config.get('dataset_configs', {'retrieval_model': 'single'})
+        query_variable = config.get('dataset_query_variable')
+
+        if dataset_configs['retrieval_model'] == 'single':
+            return DatasetEntity(
+                dataset_ids=dataset_ids,
+                retrieve_config=DatasetRetrieveConfigEntity(
+                    query_variable=query_variable,
+                    retrieve_strategy=DatasetRetrieveConfigEntity.RetrieveStrategy.value_of(
+                        dataset_configs['retrieval_model']
+                    )
+                )
+            )
+        else:
+            return DatasetEntity(
+                dataset_ids=dataset_ids,
+                retrieve_config=DatasetRetrieveConfigEntity(
+                    query_variable=query_variable,
+                    retrieve_strategy=DatasetRetrieveConfigEntity.RetrieveStrategy.value_of(
+                        dataset_configs['retrieval_model']
+                    ),
+                    top_k=dataset_configs.get('top_k'),
+                    score_threshold=dataset_configs.get('score_threshold'),
+                    reranking_model=dataset_configs.get('reranking_model')
+                )
+            )
+
+    @classmethod
+    def validate_and_set_defaults(cls, tenant_id: str, app_mode: AppMode, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for dataset feature
+
+        :param tenant_id: tenant ID
+        :param app_mode: app mode
+        :param config: app model config args
+        """
+        # Extract dataset config for legacy compatibility
+        config = cls.extract_dataset_config_for_legacy_compatibility(tenant_id, app_mode, config)
+
+        # dataset_configs
+        if not config.get("dataset_configs"):
+            config["dataset_configs"] = {'retrieval_model': 'single'}
+
+        if not config["dataset_configs"].get("datasets"):
+            config["dataset_configs"]["datasets"] = {
+                "strategy": "router",
+                "datasets": []
+            }
+
+        if not isinstance(config["dataset_configs"], dict):
+            raise ValueError("dataset_configs must be of object type")
+
+        if config["dataset_configs"]['retrieval_model'] == 'multiple':
+            if not config["dataset_configs"]['reranking_model']:
+                raise ValueError("reranking_model has not been set")
+            if not isinstance(config["dataset_configs"]['reranking_model'], dict):
+                raise ValueError("reranking_model must be of object type")
+
+        if not isinstance(config["dataset_configs"], dict):
+            raise ValueError("dataset_configs must be of object type")
+
+        need_manual_query_datasets = (config.get("dataset_configs")
+                                      and config["dataset_configs"].get("datasets", {}).get("datasets"))
+
+        if need_manual_query_datasets and app_mode == AppMode.COMPLETION:
+            # Only check when mode is completion
+            dataset_query_variable = config.get("dataset_query_variable")
+
+            if not dataset_query_variable:
+                raise ValueError("Dataset query variable is required when dataset is exist")
+
+        return config, ["agent_mode", "dataset_configs", "dataset_query_variable"]
+
+    @classmethod
+    def extract_dataset_config_for_legacy_compatibility(cls, tenant_id: str, app_mode: AppMode, config: dict) -> dict:
+        """
+        Extract dataset config for legacy compatibility
+
+        :param tenant_id: tenant ID
+        :param app_mode: app mode
+        :param config: app model config args
+        """
+        # Extract dataset config for legacy compatibility
+        if not config.get("agent_mode"):
+            config["agent_mode"] = {
+                "enabled": False,
+                "tools": []
+            }
+
+        if not isinstance(config["agent_mode"], dict):
+            raise ValueError("agent_mode must be of object type")
+
+        # enabled
+        if "enabled" not in config["agent_mode"] or not config["agent_mode"]["enabled"]:
+            config["agent_mode"]["enabled"] = False
+
+        if not isinstance(config["agent_mode"]["enabled"], bool):
+            raise ValueError("enabled in agent_mode must be of boolean type")
+
+        # tools
+        if not config["agent_mode"].get("tools"):
+            config["agent_mode"]["tools"] = []
+
+        if not isinstance(config["agent_mode"]["tools"], list):
+            raise ValueError("tools in agent_mode must be a list of objects")
+
+        # strategy
+        if not config["agent_mode"].get("strategy"):
+            config["agent_mode"]["strategy"] = PlanningStrategy.ROUTER.value
+
+        has_datasets = False
+        if config["agent_mode"]["strategy"] in [PlanningStrategy.ROUTER.value, PlanningStrategy.REACT_ROUTER.value]:
+            for tool in config["agent_mode"]["tools"]:
+                key = list(tool.keys())[0]
+                if key == "dataset":
+                    # old style, use tool name as key
+                    tool_item = tool[key]
+
+                    if "enabled" not in tool_item or not tool_item["enabled"]:
+                        tool_item["enabled"] = False
+
+                    if not isinstance(tool_item["enabled"], bool):
+                        raise ValueError("enabled in agent_mode.tools must be of boolean type")
+
+                    if 'id' not in tool_item:
+                        raise ValueError("id is required in dataset")
+
+                    try:
+                        uuid.UUID(tool_item["id"])
+                    except ValueError:
+                        raise ValueError("id in dataset must be of UUID type")
+
+                    if not cls.is_dataset_exists(tenant_id, tool_item["id"]):
+                        raise ValueError("Dataset ID does not exist, please check your permission.")
+
+                    has_datasets = True
+
+        need_manual_query_datasets = has_datasets and config["agent_mode"]["enabled"]
+
+        if need_manual_query_datasets and app_mode == AppMode.COMPLETION:
+            # Only check when mode is completion
+            dataset_query_variable = config.get("dataset_query_variable")
+
+            if not dataset_query_variable:
+                raise ValueError("Dataset query variable is required when dataset is exist")
+
+        return config
+
+    @classmethod
+    def is_dataset_exists(cls, tenant_id: str, dataset_id: str) -> bool:
+        # verify if the dataset ID exists
+        dataset = DatasetService.get_dataset(dataset_id)
+
+        if not dataset:
+            return False
+
+        if dataset.tenant_id != tenant_id:
+            return False
+
+        return True

api/core/app/app_config/easy_ui_based_app/model_config/converter.py

@@ -0,0 +1,103 @@
+from typing import cast
+
+from core.app.app_config.entities import EasyUIBasedAppConfig
+from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity
+from core.entities.model_entities import ModelStatus
+from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
+from core.model_runtime.entities.model_entities import ModelType
+from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel
+from core.provider_manager import ProviderManager
+
+
+class ModelConfigConverter:
+    @classmethod
+    def convert(cls, app_config: EasyUIBasedAppConfig,
+                skip_check: bool = False) \
+            -> ModelConfigWithCredentialsEntity:
+        """
+        Convert app model config dict to entity.
+        :param app_config: app config
+        :param skip_check: skip check
+        :raises ProviderTokenNotInitError: provider token not init error
+        :return: app orchestration config entity
+        """
+        model_config = app_config.model
+
+        provider_manager = ProviderManager()
+        provider_model_bundle = provider_manager.get_provider_model_bundle(
+            tenant_id=app_config.tenant_id,
+            provider=model_config.provider,
+            model_type=ModelType.LLM
+        )
+
+        provider_name = provider_model_bundle.configuration.provider.provider
+        model_name = model_config.model
+
+        model_type_instance = provider_model_bundle.model_type_instance
+        model_type_instance = cast(LargeLanguageModel, model_type_instance)
+
+        # check model credentials
+        model_credentials = provider_model_bundle.configuration.get_current_credentials(
+            model_type=ModelType.LLM,
+            model=model_config.model
+        )
+
+        if model_credentials is None:
+            if not skip_check:
+                raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
+            else:
+                model_credentials = {}
+
+        if not skip_check:
+            # check model
+            provider_model = provider_model_bundle.configuration.get_provider_model(
+                model=model_config.model,
+                model_type=ModelType.LLM
+            )
+
+            if provider_model is None:
+                model_name = model_config.model
+                raise ValueError(f"Model {model_name} not exist.")
+
+            if provider_model.status == ModelStatus.NO_CONFIGURE:
+                raise ProviderTokenNotInitError(f"Model {model_name} credentials is not initialized.")
+            elif provider_model.status == ModelStatus.NO_PERMISSION:
+                raise ModelCurrentlyNotSupportError(f"Dify Hosted OpenAI {model_name} currently not support.")
+            elif provider_model.status == ModelStatus.QUOTA_EXCEEDED:
+                raise QuotaExceededError(f"Model provider {provider_name} quota exceeded.")
+
+        # model config
+        completion_params = model_config.parameters
+        stop = []
+        if 'stop' in completion_params:
+            stop = completion_params['stop']
+            del completion_params['stop']
+
+        # get model mode
+        model_mode = model_config.mode
+        if not model_mode:
+            mode_enum = model_type_instance.get_model_mode(
+                model=model_config.model,
+                credentials=model_credentials
+            )
+
+            model_mode = mode_enum.value
+
+        model_schema = model_type_instance.get_model_schema(
+            model_config.model,
+            model_credentials
+        )
+
+        if not skip_check and not model_schema:
+            raise ValueError(f"Model {model_name} not exist.")
+
+        return ModelConfigWithCredentialsEntity(
+            provider=model_config.provider,
+            model=model_config.model,
+            model_schema=model_schema,
+            mode=model_mode,
+            provider_model_bundle=provider_model_bundle,
+            credentials=model_credentials,
+            parameters=completion_params,
+            stop=stop,
+        )

api/core/app/app_config/easy_ui_based_app/model_config/manager.py

@@ -0,0 +1,112 @@
+from core.app.app_config.entities import ModelConfigEntity
+from core.model_runtime.entities.model_entities import ModelPropertyKey, ModelType
+from core.model_runtime.model_providers import model_provider_factory
+from core.provider_manager import ProviderManager
+
+
+class ModelConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> ModelConfigEntity:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        # model config
+        model_config = config.get('model')
+
+        if not model_config:
+            raise ValueError("model is required")
+
+        completion_params = model_config.get('completion_params')
+        stop = []
+        if 'stop' in completion_params:
+            stop = completion_params['stop']
+            del completion_params['stop']
+
+        # get model mode
+        model_mode = model_config.get('mode')
+
+        return ModelConfigEntity(
+            provider=config['model']['provider'],
+            model=config['model']['name'],
+            mode=model_mode,
+            parameters=completion_params,
+            stop=stop,
+        )
+
+    @classmethod
+    def validate_and_set_defaults(cls, tenant_id: str, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for model config
+
+        :param tenant_id: tenant id
+        :param config: app model config args
+        """
+        if 'model' not in config:
+            raise ValueError("model is required")
+
+        if not isinstance(config["model"], dict):
+            raise ValueError("model must be of object type")
+
+        # model.provider
+        provider_entities = model_provider_factory.get_providers()
+        model_provider_names = [provider.provider for provider in provider_entities]
+        if 'provider' not in config["model"] or config["model"]["provider"] not in model_provider_names:
+            raise ValueError(f"model.provider is required and must be in {str(model_provider_names)}")
+
+        # model.name
+        if 'name' not in config["model"]:
+            raise ValueError("model.name is required")
+
+        provider_manager = ProviderManager()
+        models = provider_manager.get_configurations(tenant_id).get_models(
+            provider=config["model"]["provider"],
+            model_type=ModelType.LLM
+        )
+
+        if not models:
+            raise ValueError("model.name must be in the specified model list")
+
+        model_ids = [m.model for m in models]
+        if config["model"]["name"] not in model_ids:
+            raise ValueError("model.name must be in the specified model list")
+
+        model_mode = None
+        for model in models:
+            if model.model == config["model"]["name"]:
+                model_mode = model.model_properties.get(ModelPropertyKey.MODE)
+                break
+
+        # model.mode
+        if model_mode:
+            config['model']["mode"] = model_mode
+        else:
+            config['model']["mode"] = "completion"
+
+        # model.completion_params
+        if 'completion_params' not in config["model"]:
+            raise ValueError("model.completion_params is required")
+
+        config["model"]["completion_params"] = cls.validate_model_completion_params(
+            config["model"]["completion_params"]
+        )
+
+        return config, ["model"]
+
+    @classmethod
+    def validate_model_completion_params(cls, cp: dict) -> dict:
+        # model.completion_params
+        if not isinstance(cp, dict):
+            raise ValueError("model.completion_params must be of object type")
+
+        # stop
+        if 'stop' not in cp:
+            cp["stop"] = []
+        elif not isinstance(cp["stop"], list):
+            raise ValueError("stop in model.completion_params must be of list type")
+
+        if len(cp["stop"]) > 4:
+            raise ValueError("stop sequences must be less than 4")
+
+        return cp

api/core/app/app_config/easy_ui_based_app/prompt_template/manager.py

@@ -0,0 +1,140 @@
+from core.app.app_config.entities import (
+    AdvancedChatPromptTemplateEntity,
+    AdvancedCompletionPromptTemplateEntity,
+    PromptTemplateEntity,
+)
+from core.model_runtime.entities.message_entities import PromptMessageRole
+from core.prompt.simple_prompt_transform import ModelMode
+from models.model import AppMode
+
+
+class PromptTemplateConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> PromptTemplateEntity:
+        if not config.get("prompt_type"):
+            raise ValueError("prompt_type is required")
+
+        prompt_type = PromptTemplateEntity.PromptType.value_of(config['prompt_type'])
+        if prompt_type == PromptTemplateEntity.PromptType.SIMPLE:
+            simple_prompt_template = config.get("pre_prompt", "")
+            return PromptTemplateEntity(
+                prompt_type=prompt_type,
+                simple_prompt_template=simple_prompt_template
+            )
+        else:
+            advanced_chat_prompt_template = None
+            chat_prompt_config = config.get("chat_prompt_config", {})
+            if chat_prompt_config:
+                chat_prompt_messages = []
+                for message in chat_prompt_config.get("prompt", []):
+                    chat_prompt_messages.append({
+                        "text": message["text"],
+                        "role": PromptMessageRole.value_of(message["role"])
+                    })
+
+                advanced_chat_prompt_template = AdvancedChatPromptTemplateEntity(
+                    messages=chat_prompt_messages
+                )
+
+            advanced_completion_prompt_template = None
+            completion_prompt_config = config.get("completion_prompt_config", {})
+            if completion_prompt_config:
+                completion_prompt_template_params = {
+                    'prompt': completion_prompt_config['prompt']['text'],
+                }
+
+                if 'conversation_histories_role' in completion_prompt_config:
+                    completion_prompt_template_params['role_prefix'] = {
+                        'user': completion_prompt_config['conversation_histories_role']['user_prefix'],
+                        'assistant': completion_prompt_config['conversation_histories_role']['assistant_prefix']
+                    }
+
+                advanced_completion_prompt_template = AdvancedCompletionPromptTemplateEntity(
+                    **completion_prompt_template_params
+                )
+
+            return PromptTemplateEntity(
+                prompt_type=prompt_type,
+                advanced_chat_prompt_template=advanced_chat_prompt_template,
+                advanced_completion_prompt_template=advanced_completion_prompt_template
+            )
+
+    @classmethod
+    def validate_and_set_defaults(cls, app_mode: AppMode, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate pre_prompt and set defaults for prompt feature
+        depending on the config['model']
+
+        :param app_mode: app mode
+        :param config: app model config args
+        """
+        if not config.get("prompt_type"):
+            config["prompt_type"] = PromptTemplateEntity.PromptType.SIMPLE.value
+
+        prompt_type_vals = [typ.value for typ in PromptTemplateEntity.PromptType]
+        if config['prompt_type'] not in prompt_type_vals:
+            raise ValueError(f"prompt_type must be in {prompt_type_vals}")
+
+        # chat_prompt_config
+        if not config.get("chat_prompt_config"):
+            config["chat_prompt_config"] = {}
+
+        if not isinstance(config["chat_prompt_config"], dict):
+            raise ValueError("chat_prompt_config must be of object type")
+
+        # completion_prompt_config
+        if not config.get("completion_prompt_config"):
+            config["completion_prompt_config"] = {}
+
+        if not isinstance(config["completion_prompt_config"], dict):
+            raise ValueError("completion_prompt_config must be of object type")
+
+        if config['prompt_type'] == PromptTemplateEntity.PromptType.ADVANCED.value:
+            if not config['chat_prompt_config'] and not config['completion_prompt_config']:
+                raise ValueError("chat_prompt_config or completion_prompt_config is required "
+                                 "when prompt_type is advanced")
+
+            model_mode_vals = [mode.value for mode in ModelMode]
+            if config['model']["mode"] not in model_mode_vals:
+                raise ValueError(f"model.mode must be in {model_mode_vals} when prompt_type is advanced")
+
+            if app_mode == AppMode.CHAT and config['model']["mode"] == ModelMode.COMPLETION.value:
+                user_prefix = config['completion_prompt_config']['conversation_histories_role']['user_prefix']
+                assistant_prefix = config['completion_prompt_config']['conversation_histories_role']['assistant_prefix']
+
+                if not user_prefix:
+                    config['completion_prompt_config']['conversation_histories_role']['user_prefix'] = 'Human'
+
+                if not assistant_prefix:
+                    config['completion_prompt_config']['conversation_histories_role']['assistant_prefix'] = 'Assistant'
+
+            if config['model']["mode"] == ModelMode.CHAT.value:
+                prompt_list = config['chat_prompt_config']['prompt']
+
+                if len(prompt_list) > 10:
+                    raise ValueError("prompt messages must be less than 10")
+        else:
+            # pre_prompt, for simple mode
+            if not config.get("pre_prompt"):
+                config["pre_prompt"] = ""
+
+            if not isinstance(config["pre_prompt"], str):
+                raise ValueError("pre_prompt must be of string type")
+
+        return config, ["prompt_type", "pre_prompt", "chat_prompt_config", "completion_prompt_config"]
+
+    @classmethod
+    def validate_post_prompt_and_set_defaults(cls, config: dict) -> dict:
+        """
+        Validate post_prompt and set defaults for prompt feature
+
+        :param config: app model config args
+        """
+        # post_prompt
+        if not config.get("post_prompt"):
+            config["post_prompt"] = ""
+
+        if not isinstance(config["post_prompt"], str):
+            raise ValueError("post_prompt must be of string type")
+
+        return config

api/core/app/app_config/easy_ui_based_app/variables/manager.py

@@ -0,0 +1,186 @@
+import re
+
+from core.app.app_config.entities import ExternalDataVariableEntity, VariableEntity
+from core.external_data_tool.factory import ExternalDataToolFactory
+
+
+class BasicVariablesConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> tuple[list[VariableEntity], list[ExternalDataVariableEntity]]:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        external_data_variables = []
+        variables = []
+
+        # old external_data_tools
+        external_data_tools = config.get('external_data_tools', [])
+        for external_data_tool in external_data_tools:
+            if 'enabled' not in external_data_tool or not external_data_tool['enabled']:
+                continue
+
+            external_data_variables.append(
+                ExternalDataVariableEntity(
+                    variable=external_data_tool['variable'],
+                    type=external_data_tool['type'],
+                    config=external_data_tool['config']
+                )
+            )
+
+        # variables and external_data_tools
+        for variable in config.get('user_input_form', []):
+            typ = list(variable.keys())[0]
+            if typ == 'external_data_tool':
+                val = variable[typ]
+                if 'config' not in val:
+                    continue
+
+                external_data_variables.append(
+                    ExternalDataVariableEntity(
+                        variable=val['variable'],
+                        type=val['type'],
+                        config=val['config']
+                    )
+                )
+            elif typ in [
+                VariableEntity.Type.TEXT_INPUT.value,
+                VariableEntity.Type.PARAGRAPH.value,
+                VariableEntity.Type.NUMBER.value,
+            ]:
+                variables.append(
+                    VariableEntity(
+                        type=VariableEntity.Type.value_of(typ),
+                        variable=variable[typ].get('variable'),
+                        description=variable[typ].get('description'),
+                        label=variable[typ].get('label'),
+                        required=variable[typ].get('required', False),
+                        max_length=variable[typ].get('max_length'),
+                        default=variable[typ].get('default'),
+                    )
+                )
+            elif typ == VariableEntity.Type.SELECT.value:
+                variables.append(
+                    VariableEntity(
+                        type=VariableEntity.Type.SELECT,
+                        variable=variable[typ].get('variable'),
+                        description=variable[typ].get('description'),
+                        label=variable[typ].get('label'),
+                        required=variable[typ].get('required', False),
+                        options=variable[typ].get('options'),
+                        default=variable[typ].get('default'),
+                    )
+                )
+
+        return variables, external_data_variables
+
+    @classmethod
+    def validate_and_set_defaults(cls, tenant_id: str, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for user input form
+
+        :param tenant_id: workspace id
+        :param config: app model config args
+        """
+        related_config_keys = []
+        config, current_related_config_keys = cls.validate_variables_and_set_defaults(config)
+        related_config_keys.extend(current_related_config_keys)
+
+        config, current_related_config_keys = cls.validate_external_data_tools_and_set_defaults(tenant_id, config)
+        related_config_keys.extend(current_related_config_keys)
+
+        return config, related_config_keys
+
+    @classmethod
+    def validate_variables_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for user input form
+
+        :param config: app model config args
+        """
+        if not config.get("user_input_form"):
+            config["user_input_form"] = []
+
+        if not isinstance(config["user_input_form"], list):
+            raise ValueError("user_input_form must be a list of objects")
+
+        variables = []
+        for item in config["user_input_form"]:
+            key = list(item.keys())[0]
+            if key not in ["text-input", "select", "paragraph", "number", "external_data_tool"]:
+                raise ValueError("Keys in user_input_form list can only be 'text-input', 'paragraph'  or 'select'")
+
+            form_item = item[key]
+            if 'label' not in form_item:
+                raise ValueError("label is required in user_input_form")
+
+            if not isinstance(form_item["label"], str):
+                raise ValueError("label in user_input_form must be of string type")
+
+            if 'variable' not in form_item:
+                raise ValueError("variable is required in user_input_form")
+
+            if not isinstance(form_item["variable"], str):
+                raise ValueError("variable in user_input_form must be of string type")
+
+            pattern = re.compile(r"^(?!\d)[\u4e00-\u9fa5A-Za-z0-9_\U0001F300-\U0001F64F\U0001F680-\U0001F6FF]{1,100}$")
+            if pattern.match(form_item["variable"]) is None:
+                raise ValueError("variable in user_input_form must be a string, "
+                                 "and cannot start with a number")
+
+            variables.append(form_item["variable"])
+
+            if 'required' not in form_item or not form_item["required"]:
+                form_item["required"] = False
+
+            if not isinstance(form_item["required"], bool):
+                raise ValueError("required in user_input_form must be of boolean type")
+
+            if key == "select":
+                if 'options' not in form_item or not form_item["options"]:
+                    form_item["options"] = []
+
+                if not isinstance(form_item["options"], list):
+                    raise ValueError("options in user_input_form must be a list of strings")
+
+                if "default" in form_item and form_item['default'] \
+                        and form_item["default"] not in form_item["options"]:
+                    raise ValueError("default value in user_input_form must be in the options list")
+
+        return config, ["user_input_form"]
+
+    @classmethod
+    def validate_external_data_tools_and_set_defaults(cls, tenant_id: str, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for external data fetch feature
+
+        :param tenant_id: workspace id
+        :param config: app model config args
+        """
+        if not config.get("external_data_tools"):
+            config["external_data_tools"] = []
+
+        if not isinstance(config["external_data_tools"], list):
+            raise ValueError("external_data_tools must be of list type")
+
+        for tool in config["external_data_tools"]:
+            if "enabled" not in tool or not tool["enabled"]:
+                tool["enabled"] = False
+
+            if not tool["enabled"]:
+                continue
+
+            if "type" not in tool or not tool["type"]:
+                raise ValueError("external_data_tools[].type is required")
+
+            typ = tool["type"]
+            config = tool["config"]
+
+            ExternalDataToolFactory.validate_config(
+                name=typ,
+                tenant_id=tenant_id,
+                config=config
+            )
+
+        return config, ["external_data_tools"]

api/core/app/app_config/entities.py

@@ -0,0 +1,242 @@
+from enum import Enum
+from typing import Any, Optional
+
+from pydantic import BaseModel
+
+from core.model_runtime.entities.message_entities import PromptMessageRole
+from models.model import AppMode
+
+
+class ModelConfigEntity(BaseModel):
+    """
+    Model Config Entity.
+    """
+    provider: str
+    model: str
+    mode: Optional[str] = None
+    parameters: dict[str, Any] = {}
+    stop: list[str] = []
+
+
+class AdvancedChatMessageEntity(BaseModel):
+    """
+    Advanced Chat Message Entity.
+    """
+    text: str
+    role: PromptMessageRole
+
+
+class AdvancedChatPromptTemplateEntity(BaseModel):
+    """
+    Advanced Chat Prompt Template Entity.
+    """
+    messages: list[AdvancedChatMessageEntity]
+
+
+class AdvancedCompletionPromptTemplateEntity(BaseModel):
+    """
+    Advanced Completion Prompt Template Entity.
+    """
+
+    class RolePrefixEntity(BaseModel):
+        """
+        Role Prefix Entity.
+        """
+        user: str
+        assistant: str
+
+    prompt: str
+    role_prefix: Optional[RolePrefixEntity] = None
+
+
+class PromptTemplateEntity(BaseModel):
+    """
+    Prompt Template Entity.
+    """
+
+    class PromptType(Enum):
+        """
+        Prompt Type.
+        'simple', 'advanced'
+        """
+        SIMPLE = 'simple'
+        ADVANCED = 'advanced'
+
+        @classmethod
+        def value_of(cls, value: str) -> 'PromptType':
+            """
+            Get value of given mode.
+
+            :param value: mode value
+            :return: mode
+            """
+            for mode in cls:
+                if mode.value == value:
+                    return mode
+            raise ValueError(f'invalid prompt type value {value}')
+
+    prompt_type: PromptType
+    simple_prompt_template: Optional[str] = None
+    advanced_chat_prompt_template: Optional[AdvancedChatPromptTemplateEntity] = None
+    advanced_completion_prompt_template: Optional[AdvancedCompletionPromptTemplateEntity] = None
+
+
+class VariableEntity(BaseModel):
+    """
+    Variable Entity.
+    """
+    class Type(Enum):
+        TEXT_INPUT = 'text-input'
+        SELECT = 'select'
+        PARAGRAPH = 'paragraph'
+        NUMBER = 'number'
+
+        @classmethod
+        def value_of(cls, value: str) -> 'VariableEntity.Type':
+            """
+            Get value of given mode.
+
+            :param value: mode value
+            :return: mode
+            """
+            for mode in cls:
+                if mode.value == value:
+                    return mode
+            raise ValueError(f'invalid variable type value {value}')
+
+    variable: str
+    label: str
+    description: Optional[str] = None
+    type: Type
+    required: bool = False
+    max_length: Optional[int] = None
+    options: Optional[list[str]] = None
+    default: Optional[str] = None
+    hint: Optional[str] = None
+
+
+class ExternalDataVariableEntity(BaseModel):
+    """
+    External Data Variable Entity.
+    """
+    variable: str
+    type: str
+    config: dict[str, Any] = {}
+
+
+class DatasetRetrieveConfigEntity(BaseModel):
+    """
+    Dataset Retrieve Config Entity.
+    """
+
+    class RetrieveStrategy(Enum):
+        """
+        Dataset Retrieve Strategy.
+        'single' or 'multiple'
+        """
+        SINGLE = 'single'
+        MULTIPLE = 'multiple'
+
+        @classmethod
+        def value_of(cls, value: str) -> 'RetrieveStrategy':
+            """
+            Get value of given mode.
+
+            :param value: mode value
+            :return: mode
+            """
+            for mode in cls:
+                if mode.value == value:
+                    return mode
+            raise ValueError(f'invalid retrieve strategy value {value}')
+
+    query_variable: Optional[str] = None  # Only when app mode is completion
+
+    retrieve_strategy: RetrieveStrategy
+    top_k: Optional[int] = None
+    score_threshold: Optional[float] = None
+    reranking_model: Optional[dict] = None
+
+
+class DatasetEntity(BaseModel):
+    """
+    Dataset Config Entity.
+    """
+    dataset_ids: list[str]
+    retrieve_config: DatasetRetrieveConfigEntity
+
+
+class SensitiveWordAvoidanceEntity(BaseModel):
+    """
+    Sensitive Word Avoidance Entity.
+    """
+    type: str
+    config: dict[str, Any] = {}
+
+
+class TextToSpeechEntity(BaseModel):
+    """
+    Sensitive Word Avoidance Entity.
+    """
+    enabled: bool
+    voice: Optional[str] = None
+    language: Optional[str] = None
+
+
+class FileExtraConfig(BaseModel):
+    """
+    File Upload Entity.
+    """
+    image_config: Optional[dict[str, Any]] = None
+
+
+class AppAdditionalFeatures(BaseModel):
+    file_upload: Optional[FileExtraConfig] = None
+    opening_statement: Optional[str] = None
+    suggested_questions: list[str] = []
+    suggested_questions_after_answer: bool = False
+    show_retrieve_source: bool = False
+    more_like_this: bool = False
+    speech_to_text: bool = False
+    text_to_speech: Optional[TextToSpeechEntity] = None
+
+
+class AppConfig(BaseModel):
+    """
+    Application Config Entity.
+    """
+    tenant_id: str
+    app_id: str
+    app_mode: AppMode
+    additional_features: AppAdditionalFeatures
+    variables: list[VariableEntity] = []
+    sensitive_word_avoidance: Optional[SensitiveWordAvoidanceEntity] = None
+
+
+class EasyUIBasedAppModelConfigFrom(Enum):
+    """
+    App Model Config From.
+    """
+    ARGS = 'args'
+    APP_LATEST_CONFIG = 'app-latest-config'
+    CONVERSATION_SPECIFIC_CONFIG = 'conversation-specific-config'
+
+
+class EasyUIBasedAppConfig(AppConfig):
+    """
+    Easy UI Based App Config Entity.
+    """
+    app_model_config_from: EasyUIBasedAppModelConfigFrom
+    app_model_config_id: str
+    app_model_config_dict: dict
+    model: ModelConfigEntity
+    prompt_template: PromptTemplateEntity
+    dataset: Optional[DatasetEntity] = None
+    external_data_variables: list[ExternalDataVariableEntity] = []
+
+
+class WorkflowUIBasedAppConfig(AppConfig):
+    """
+    Workflow UI Based App Config Entity.
+    """
+    workflow_id: str

api/core/app/app_config/features/file_upload/manager.py

@@ -0,0 +1,68 @@
+from typing import Optional
+
+from core.app.app_config.entities import FileExtraConfig
+
+
+class FileUploadConfigManager:
+    @classmethod
+    def convert(cls, config: dict, is_vision: bool = True) -> Optional[FileExtraConfig]:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        :param is_vision: if True, the feature is vision feature
+        """
+        file_upload_dict = config.get('file_upload')
+        if file_upload_dict:
+            if 'image' in file_upload_dict and file_upload_dict['image']:
+                if 'enabled' in file_upload_dict['image'] and file_upload_dict['image']['enabled']:
+                    image_config = {
+                        'number_limits': file_upload_dict['image']['number_limits'],
+                        'transfer_methods': file_upload_dict['image']['transfer_methods']
+                    }
+
+                    if is_vision:
+                        image_config['detail'] = file_upload_dict['image']['detail']
+
+                    return FileExtraConfig(
+                        image_config=image_config
+                    )
+
+        return None
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict, is_vision: bool = True) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for file upload feature
+
+        :param config: app model config args
+        :param is_vision: if True, the feature is vision feature
+        """
+        if not config.get("file_upload"):
+            config["file_upload"] = {}
+
+        if not isinstance(config["file_upload"], dict):
+            raise ValueError("file_upload must be of dict type")
+
+        # check image config
+        if not config["file_upload"].get("image"):
+            config["file_upload"]["image"] = {"enabled": False}
+
+        if config['file_upload']['image']['enabled']:
+            number_limits = config['file_upload']['image']['number_limits']
+            if number_limits < 1 or number_limits > 6:
+                raise ValueError("number_limits must be in [1, 6]")
+
+            if is_vision:
+                detail = config['file_upload']['image']['detail']
+                if detail not in ['high', 'low']:
+                    raise ValueError("detail must be in ['high', 'low']")
+
+            transfer_methods = config['file_upload']['image']['transfer_methods']
+            if not isinstance(transfer_methods, list):
+                raise ValueError("transfer_methods must be of list type")
+            for method in transfer_methods:
+                if method not in ['remote_url', 'local_file']:
+                    raise ValueError("transfer_methods must be in ['remote_url', 'local_file']")
+
+        return config, ["file_upload"]

api/core/app/app_config/features/more_like_this/manager.py

@@ -0,0 +1,38 @@
+class MoreLikeThisConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> bool:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        more_like_this = False
+        more_like_this_dict = config.get('more_like_this')
+        if more_like_this_dict:
+            if 'enabled' in more_like_this_dict and more_like_this_dict['enabled']:
+                more_like_this = True
+
+        return more_like_this
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for more like this feature
+
+        :param config: app model config args
+        """
+        if not config.get("more_like_this"):
+            config["more_like_this"] = {
+                "enabled": False
+            }
+
+        if not isinstance(config["more_like_this"], dict):
+            raise ValueError("more_like_this must be of dict type")
+
+        if "enabled" not in config["more_like_this"] or not config["more_like_this"]["enabled"]:
+            config["more_like_this"]["enabled"] = False
+
+        if not isinstance(config["more_like_this"]["enabled"], bool):
+            raise ValueError("enabled in more_like_this must be of boolean type")
+
+        return config, ["more_like_this"]

api/core/app/app_config/features/opening_statement/manager.py

@@ -0,0 +1,43 @@
+
+
+class OpeningStatementConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> tuple[str, list]:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        # opening statement
+        opening_statement = config.get('opening_statement')
+
+        # suggested questions
+        suggested_questions_list = config.get('suggested_questions')
+
+        return opening_statement, suggested_questions_list
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for opening statement feature
+
+        :param config: app model config args
+        """
+        if not config.get("opening_statement"):
+            config["opening_statement"] = ""
+
+        if not isinstance(config["opening_statement"], str):
+            raise ValueError("opening_statement must be of string type")
+
+        # suggested_questions
+        if not config.get("suggested_questions"):
+            config["suggested_questions"] = []
+
+        if not isinstance(config["suggested_questions"], list):
+            raise ValueError("suggested_questions must be of list type")
+
+        for question in config["suggested_questions"]:
+            if not isinstance(question, str):
+                raise ValueError("Elements in suggested_questions list must be of string type")
+
+        return config, ["opening_statement", "suggested_questions"]

api/core/app/app_config/features/retrieval_resource/manager.py

@@ -0,0 +1,33 @@
+class RetrievalResourceConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> bool:
+        show_retrieve_source = False
+        retriever_resource_dict = config.get('retriever_resource')
+        if retriever_resource_dict:
+            if 'enabled' in retriever_resource_dict and retriever_resource_dict['enabled']:
+                show_retrieve_source = True
+
+        return show_retrieve_source
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for retriever resource feature
+
+        :param config: app model config args
+        """
+        if not config.get("retriever_resource"):
+            config["retriever_resource"] = {
+                "enabled": False
+            }
+
+        if not isinstance(config["retriever_resource"], dict):
+            raise ValueError("retriever_resource must be of dict type")
+
+        if "enabled" not in config["retriever_resource"] or not config["retriever_resource"]["enabled"]:
+            config["retriever_resource"]["enabled"] = False
+
+        if not isinstance(config["retriever_resource"]["enabled"], bool):
+            raise ValueError("enabled in retriever_resource must be of boolean type")
+
+        return config, ["retriever_resource"]

api/core/app/app_config/features/speech_to_text/manager.py

@@ -0,0 +1,38 @@
+class SpeechToTextConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> bool:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        speech_to_text = False
+        speech_to_text_dict = config.get('speech_to_text')
+        if speech_to_text_dict:
+            if 'enabled' in speech_to_text_dict and speech_to_text_dict['enabled']:
+                speech_to_text = True
+
+        return speech_to_text
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for speech to text feature
+
+        :param config: app model config args
+        """
+        if not config.get("speech_to_text"):
+            config["speech_to_text"] = {
+                "enabled": False
+            }
+
+        if not isinstance(config["speech_to_text"], dict):
+            raise ValueError("speech_to_text must be of dict type")
+
+        if "enabled" not in config["speech_to_text"] or not config["speech_to_text"]["enabled"]:
+            config["speech_to_text"]["enabled"] = False
+
+        if not isinstance(config["speech_to_text"]["enabled"], bool):
+            raise ValueError("enabled in speech_to_text must be of boolean type")
+
+        return config, ["speech_to_text"]

api/core/app/app_config/features/suggested_questions_after_answer/manager.py

@@ -0,0 +1,39 @@
+class SuggestedQuestionsAfterAnswerConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> bool:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        suggested_questions_after_answer = False
+        suggested_questions_after_answer_dict = config.get('suggested_questions_after_answer')
+        if suggested_questions_after_answer_dict:
+            if 'enabled' in suggested_questions_after_answer_dict and suggested_questions_after_answer_dict['enabled']:
+                suggested_questions_after_answer = True
+
+        return suggested_questions_after_answer
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for suggested questions feature
+
+        :param config: app model config args
+        """
+        if not config.get("suggested_questions_after_answer"):
+            config["suggested_questions_after_answer"] = {
+                "enabled": False
+            }
+
+        if not isinstance(config["suggested_questions_after_answer"], dict):
+            raise ValueError("suggested_questions_after_answer must be of dict type")
+
+        if "enabled" not in config["suggested_questions_after_answer"] or not \
+        config["suggested_questions_after_answer"]["enabled"]:
+            config["suggested_questions_after_answer"]["enabled"] = False
+
+        if not isinstance(config["suggested_questions_after_answer"]["enabled"], bool):
+            raise ValueError("enabled in suggested_questions_after_answer must be of boolean type")
+
+        return config, ["suggested_questions_after_answer"]

api/core/app/app_config/features/text_to_speech/manager.py

@@ -0,0 +1,49 @@
+from core.app.app_config.entities import TextToSpeechEntity
+
+
+class TextToSpeechConfigManager:
+    @classmethod
+    def convert(cls, config: dict) -> bool:
+        """
+        Convert model config to model config
+
+        :param config: model config args
+        """
+        text_to_speech = False
+        text_to_speech_dict = config.get('text_to_speech')
+        if text_to_speech_dict:
+            if 'enabled' in text_to_speech_dict and text_to_speech_dict['enabled']:
+                text_to_speech = TextToSpeechEntity(
+                    enabled=text_to_speech_dict.get('enabled'),
+                    voice=text_to_speech_dict.get('voice'),
+                    language=text_to_speech_dict.get('language'),
+                )
+
+        return text_to_speech
+
+    @classmethod
+    def validate_and_set_defaults(cls, config: dict) -> tuple[dict, list[str]]:
+        """
+        Validate and set defaults for text to speech feature
+
+        :param config: app model config args
+        """
+        if not config.get("text_to_speech"):
+            config["text_to_speech"] = {
+                "enabled": False,
+                "voice": "",
+                "language": ""
+            }
+
+        if not isinstance(config["text_to_speech"], dict):
+            raise ValueError("text_to_speech must be of dict type")
+
+        if "enabled" not in config["text_to_speech"] or not config["text_to_speech"]["enabled"]:
+            config["text_to_speech"]["enabled"] = False
+            config["text_to_speech"]["voice"] = ""
+            config["text_to_speech"]["language"] = ""
+
+        if not isinstance(config["text_to_speech"]["enabled"], bool):
+            raise ValueError("enabled in text_to_speech must be of boolean type")
+
+        return config, ["text_to_speech"]

api/core/app/app_config/workflow_ui_based_app/variables/manager.py

@@ -0,0 +1,22 @@
+from core.app.app_config.entities import VariableEntity
+from models.workflow import Workflow
+
+
+class WorkflowVariablesConfigManager:
+    @classmethod
+    def convert(cls, workflow: Workflow) -> list[VariableEntity]:
+        """
+        Convert workflow start variables to variables
+
+        :param workflow: workflow instance
+        """
+        variables = []
+
+        # find start node
+        user_input_form = workflow.user_input_form()
+
+        # variables
+        for variable in user_input_form:
+            variables.append(VariableEntity(**variable))
+
+        return variables