File size: 1,828 Bytes
4304c6d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
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"]
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
|