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300d9892a5
Co-authored-by: luowei <glpat-EjySCyNjWiLqAED-YmwM> Co-authored-by: crazywoola <427733928@qq.com> Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
310 lines
7.2 KiB
Python
310 lines
7.2 KiB
Python
from enum import Enum
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from typing import Any, Literal, Optional, Union
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from pydantic import BaseModel
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from core.entities.provider_configuration import ProviderModelBundle
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from core.file.file_obj import FileObj
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from core.model_runtime.entities.message_entities import PromptMessageRole
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from core.model_runtime.entities.model_entities import AIModelEntity
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class ModelConfigEntity(BaseModel):
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"""
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Model Config Entity.
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"""
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provider: str
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model: str
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model_schema: AIModelEntity
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mode: str
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provider_model_bundle: ProviderModelBundle
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credentials: dict[str, Any] = {}
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parameters: dict[str, Any] = {}
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stop: list[str] = []
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class AdvancedChatMessageEntity(BaseModel):
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"""
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Advanced Chat Message Entity.
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"""
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text: str
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role: PromptMessageRole
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class AdvancedChatPromptTemplateEntity(BaseModel):
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"""
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Advanced Chat Prompt Template Entity.
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"""
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messages: list[AdvancedChatMessageEntity]
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class AdvancedCompletionPromptTemplateEntity(BaseModel):
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"""
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Advanced Completion Prompt Template Entity.
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"""
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class RolePrefixEntity(BaseModel):
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"""
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Role Prefix Entity.
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"""
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user: str
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assistant: str
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prompt: str
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role_prefix: Optional[RolePrefixEntity] = None
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class PromptTemplateEntity(BaseModel):
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"""
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Prompt Template Entity.
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"""
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class PromptType(Enum):
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"""
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Prompt Type.
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'simple', 'advanced'
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"""
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SIMPLE = 'simple'
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ADVANCED = 'advanced'
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@classmethod
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def value_of(cls, value: str) -> 'PromptType':
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"""
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Get value of given mode.
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:param value: mode value
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:return: mode
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"""
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for mode in cls:
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if mode.value == value:
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return mode
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raise ValueError(f'invalid prompt type value {value}')
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prompt_type: PromptType
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simple_prompt_template: Optional[str] = None
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advanced_chat_prompt_template: Optional[AdvancedChatPromptTemplateEntity] = None
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advanced_completion_prompt_template: Optional[AdvancedCompletionPromptTemplateEntity] = None
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class ExternalDataVariableEntity(BaseModel):
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"""
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External Data Variable Entity.
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"""
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variable: str
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type: str
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config: dict[str, Any] = {}
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class DatasetRetrieveConfigEntity(BaseModel):
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"""
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Dataset Retrieve Config Entity.
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"""
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class RetrieveStrategy(Enum):
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"""
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Dataset Retrieve Strategy.
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'single' or 'multiple'
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"""
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SINGLE = 'single'
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MULTIPLE = 'multiple'
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@classmethod
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def value_of(cls, value: str) -> 'RetrieveStrategy':
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"""
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Get value of given mode.
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:param value: mode value
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:return: mode
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"""
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for mode in cls:
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if mode.value == value:
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return mode
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raise ValueError(f'invalid retrieve strategy value {value}')
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query_variable: Optional[str] = None # Only when app mode is completion
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retrieve_strategy: RetrieveStrategy
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single_strategy: Optional[str] = None # for temp
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top_k: Optional[int] = None
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score_threshold: Optional[float] = None
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reranking_model: Optional[dict] = None
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class DatasetEntity(BaseModel):
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"""
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Dataset Config Entity.
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"""
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dataset_ids: list[str]
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retrieve_config: DatasetRetrieveConfigEntity
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class SensitiveWordAvoidanceEntity(BaseModel):
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"""
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Sensitive Word Avoidance Entity.
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"""
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type: str
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config: dict[str, Any] = {}
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class TextToSpeechEntity(BaseModel):
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"""
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Sensitive Word Avoidance Entity.
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"""
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enabled: bool
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voice: Optional[str] = None
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language: Optional[str] = None
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class FileUploadEntity(BaseModel):
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"""
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File Upload Entity.
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"""
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image_config: Optional[dict[str, Any]] = None
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class AgentToolEntity(BaseModel):
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"""
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Agent Tool Entity.
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"""
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provider_type: Literal["builtin", "api"]
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provider_id: str
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tool_name: str
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tool_parameters: dict[str, Any] = {}
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class AgentPromptEntity(BaseModel):
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"""
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Agent Prompt Entity.
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"""
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first_prompt: str
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next_iteration: str
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class AgentScratchpadUnit(BaseModel):
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"""
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Agent First Prompt Entity.
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"""
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class Action(BaseModel):
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"""
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Action Entity.
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"""
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action_name: str
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action_input: Union[dict, str]
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agent_response: Optional[str] = None
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thought: Optional[str] = None
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action_str: Optional[str] = None
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observation: Optional[str] = None
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action: Optional[Action] = None
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class AgentEntity(BaseModel):
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"""
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Agent Entity.
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"""
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class Strategy(Enum):
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"""
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Agent Strategy.
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"""
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CHAIN_OF_THOUGHT = 'chain-of-thought'
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FUNCTION_CALLING = 'function-calling'
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provider: str
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model: str
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strategy: Strategy
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prompt: Optional[AgentPromptEntity] = None
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tools: list[AgentToolEntity] = None
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max_iteration: int = 5
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class AppOrchestrationConfigEntity(BaseModel):
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"""
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App Orchestration Config Entity.
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"""
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model_config: ModelConfigEntity
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prompt_template: PromptTemplateEntity
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external_data_variables: list[ExternalDataVariableEntity] = []
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agent: Optional[AgentEntity] = None
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# features
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dataset: Optional[DatasetEntity] = None
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file_upload: Optional[FileUploadEntity] = None
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opening_statement: Optional[str] = None
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suggested_questions_after_answer: bool = False
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show_retrieve_source: bool = False
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more_like_this: bool = False
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speech_to_text: bool = False
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text_to_speech: dict = {}
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sensitive_word_avoidance: Optional[SensitiveWordAvoidanceEntity] = None
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class InvokeFrom(Enum):
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"""
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Invoke From.
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"""
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SERVICE_API = 'service-api'
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WEB_APP = 'web-app'
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EXPLORE = 'explore'
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DEBUGGER = 'debugger'
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@classmethod
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def value_of(cls, value: str) -> 'InvokeFrom':
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"""
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Get value of given mode.
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:param value: mode value
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:return: mode
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"""
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for mode in cls:
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if mode.value == value:
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return mode
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raise ValueError(f'invalid invoke from value {value}')
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def to_source(self) -> str:
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"""
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Get source of invoke from.
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:return: source
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"""
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if self == InvokeFrom.WEB_APP:
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return 'web_app'
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elif self == InvokeFrom.DEBUGGER:
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return 'dev'
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elif self == InvokeFrom.EXPLORE:
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return 'explore_app'
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elif self == InvokeFrom.SERVICE_API:
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return 'api'
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return 'dev'
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class ApplicationGenerateEntity(BaseModel):
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"""
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Application Generate Entity.
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"""
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task_id: str
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tenant_id: str
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app_id: str
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app_model_config_id: str
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# for save
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app_model_config_dict: dict
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app_model_config_override: bool
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# Converted from app_model_config to Entity object, or directly covered by external input
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app_orchestration_config_entity: AppOrchestrationConfigEntity
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conversation_id: Optional[str] = None
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inputs: dict[str, str]
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query: Optional[str] = None
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files: list[FileObj] = []
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user_id: str
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# extras
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stream: bool
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invoke_from: InvokeFrom
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# extra parameters, like: auto_generate_conversation_name
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extras: dict[str, Any] = {}
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