dify / api /core /agent /entities.py
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from enum import Enum
from typing import Any, Literal, Optional, Union
from pydantic import BaseModel
class AgentToolEntity(BaseModel):
"""
Agent Tool Entity.
"""
provider_type: Literal["builtin", "api", "workflow"]
provider_id: str
tool_name: str
tool_parameters: dict[str, Any] = {}
class AgentPromptEntity(BaseModel):
"""
Agent Prompt Entity.
"""
first_prompt: str
next_iteration: str
class AgentScratchpadUnit(BaseModel):
"""
Agent First Prompt Entity.
"""
class Action(BaseModel):
"""
Action Entity.
"""
action_name: str
action_input: Union[dict, str]
def to_dict(self) -> dict:
"""
Convert to dictionary.
"""
return {
"action": self.action_name,
"action_input": self.action_input,
}
agent_response: Optional[str] = None
thought: Optional[str] = None
action_str: Optional[str] = None
observation: Optional[str] = None
action: Optional[Action] = None
def is_final(self) -> bool:
"""
Check if the scratchpad unit is final.
"""
return self.action is None or (
"final" in self.action.action_name.lower() and "answer" in self.action.action_name.lower()
)
class AgentEntity(BaseModel):
"""
Agent Entity.
"""
class Strategy(Enum):
"""
Agent Strategy.
"""
CHAIN_OF_THOUGHT = "chain-of-thought"
FUNCTION_CALLING = "function-calling"
provider: str
model: str
strategy: Strategy
prompt: Optional[AgentPromptEntity] = None
tools: list[AgentToolEntity] = None
max_iteration: int = 5