dapa / src /schema.py
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from typing import Any, Literal, NotRequired
from pydantic import BaseModel, Field
from typing_extensions import TypedDict
class UserInput(BaseModel):
"""Basic user input for the agent."""
user_message: str = Field(
description="User message to the AI agent.",
examples=["Hello, I want to report."],
)
thread_id: str | None = Field(
description="Thread ID to persist and continue a multi-turn conversation.",
default=None,
examples=["847c6285-8fc9-4560-a83f-4e628xx09254"],
)
class SingleResponse(BaseModel):
"""Basic user input for the agent."""
response_message: str = Field(
description="Response content based on user input.",
examples=["Hello, I am a bot."],
)
responder: Literal["human", "ai", "tool", "custom"] = Field(
description="Generator of response.",
examples=["human", "ai", "tool", "custom"],
)
thread_id: str | None = Field(
description="Thread ID to persist and continue a multi-turn conversation.",
default=None,
examples=["847c6285-8fc9-4560-a83f-4e628xx09254"],
)
class ToolCall(TypedDict):
"""Represents a request to call a tool."""
name: str
"""The name of the tool to be called."""
args: dict[str, Any]
"""The arguments to the tool call."""
id: str | None
"""An identifier associated with the tool call."""
type: NotRequired[Literal["tool_call"]]
class Chat(BaseModel):
"""Message in a chat."""
type: Literal["human", "ai", "tool", "custom"] = Field(
description="Role of the message.",
examples=["human", "ai", "tool", "custom"],
)
content: str = Field(
description="Content of the message.",
examples=["Hello, world!"],
)
tool_calls: list[ToolCall] = Field(
description="Tool calls in the message.",
default=[],
)
tool_call_id: str | None = Field(
description="Tool call that this message is responding to.",
default=None,
examples=["call_Jja7J89XsjrOLA5r!MEOW!SL"],
)
run_id: str | None = Field(
description="Run ID of the message.",
default=None,
examples=["847c6285-8fc9-4560-a83f-4e6285809254"],
)
response_metadata: dict[str, Any] = Field(
description="Response metadata. For example: response headers, logprobs, token counts.",
default={},
)
custom_data: dict[str, Any] = Field(
description="Custom message data.",
default={},
)