Files
Auto-GPT/autogpt/command_decorator.py
Reinier van der Leer 3fe2246468 Agent loop v2: Prompting improvements & WIP planning (#5077)
* Add categories to command registry

* Fix tests

* Clean up prompt generation

* Rename Performance Evaluations to Best Practices
* Move specification of response format from system prompt to Agent.construct_base_prompt
* Clean up PromptGenerator class

* Add debug logging to AIConfig autogeneration

* Clarify prompting and add support for multiple thought processes to Agent

* WIP: PlanningAgent

* Disable message history by default on BaseAgent

* Add CommandOutput and ThoughtProcessOutput type aliases

* Fix interrupts in main.py

* Use custom exceptions and clean up exception/error handling

* Remove duplicate agent_history.py

* Update PlanningAgent from upstream

* WIP: Support for dynamic in-prompt context

* WIP: response formats for PlanningAgent three-stage cycle

* Remove browsing overlay & separate browsing from extraction code

* Fix human feedback

* Fix tests

* Include history in Agent prompt generation

* Code improvements in agent.py

* Add ask_user command and revise system prompt
2023-08-19 17:44:50 +02:00

62 lines
1.7 KiB
Python

from __future__ import annotations
import functools
from typing import TYPE_CHECKING, Any, Callable, Optional, TypedDict
if TYPE_CHECKING:
from autogpt.config import Config
from autogpt.models.command import Command, CommandOutput, CommandParameter
# Unique identifier for auto-gpt commands
AUTO_GPT_COMMAND_IDENTIFIER = "auto_gpt_command"
class CommandParameterSpec(TypedDict):
type: str
description: str
required: bool
def command(
name: str,
description: str,
parameters: dict[str, CommandParameterSpec],
enabled: bool | Callable[[Config], bool] = True,
disabled_reason: Optional[str] = None,
aliases: list[str] = [],
) -> Callable[..., CommandOutput]:
"""The command decorator is used to create Command objects from ordinary functions."""
def decorator(func: Callable[..., CommandOutput]) -> Command:
typed_parameters = [
CommandParameter(
name=param_name,
description=parameter.get("description"),
type=parameter.get("type", "string"),
required=parameter.get("required", False),
)
for param_name, parameter in parameters.items()
]
cmd = Command(
name=name,
description=description,
method=func,
parameters=typed_parameters,
enabled=enabled,
disabled_reason=disabled_reason,
aliases=aliases,
)
@functools.wraps(func)
def wrapper(*args, **kwargs) -> Any:
return func(*args, **kwargs)
wrapper.command = cmd
setattr(wrapper, AUTO_GPT_COMMAND_IDENTIFIER, True)
return wrapper
return decorator