dify
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94
dify/api/core/agent/entities.py
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94
dify/api/core/agent/entities.py
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from enum import StrEnum
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from typing import Any, Union
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from pydantic import BaseModel, Field
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from core.tools.entities.tool_entities import ToolInvokeMessage, ToolProviderType
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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: ToolProviderType
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provider_id: str
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tool_name: str
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tool_parameters: dict[str, Any] = Field(default_factory=dict)
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plugin_unique_identifier: str | None = None
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credential_id: str | None = None
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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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def to_dict(self):
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"""
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Convert to dictionary.
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"""
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return {
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"action": self.action_name,
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"action_input": self.action_input,
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}
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agent_response: str | None = None
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thought: str | None = None
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action_str: str | None = None
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observation: str | None = None
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action: Action | None = None
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def is_final(self) -> bool:
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"""
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Check if the scratchpad unit is final.
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"""
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return self.action is None or (
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"final" in self.action.action_name.lower() and "answer" in self.action.action_name.lower()
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)
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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(StrEnum):
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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: AgentPromptEntity | None = None
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tools: list[AgentToolEntity] | None = None
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max_iteration: int = 10
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class AgentInvokeMessage(ToolInvokeMessage):
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"""
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Agent Invoke Message.
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"""
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pass
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