Files
Auto-GPT/autogpt/core/ability/base.py
James Collins b9f01330db Re-arch WIP (#3969)
Rough sketching out of a hello world using our refactored autogpt
library. See the tracking issue here: #4770.

# Run instructions

There are two client applications for Auto-GPT included. 

## CLI Application

🌟 **This is the reference application I'm working with for now**
🌟

The first app is a straight CLI application. I have not done anything
yet to port all the friendly display stuff from the
`logger.typewriter_log` logic.

- [Entry
Point](https://github.com/Significant-Gravitas/Auto-GPT/blob/re-arch/hello-world/autogpt/core/runner/cli_app/cli.py)
- [Client
Application](https://github.com/Significant-Gravitas/Auto-GPT/blob/re-arch/hello-world/autogpt/core/runner/cli_app/main.py)

To run, you first need a settings file.  Run

```
 python REPOSITORY_ROOT/autogpt/core/runner/cli_app/cli.py make-settings
 ```

where `REPOSITORY_ROOT` is the root of the Auto-GPT repository on your machine.  This will write a file called `default_agent_settings.yaml` with all the user-modifiable configuration keys to `~/auto-gpt/default_agent_settings.yml` and make the `auto-gpt` directory in your user directory if it doesn't exist).  At a bare minimum, you'll need to set `openai.credentials.api_key` to your OpenAI API Key to run the model.

You can then run Auto-GPT with 

```
python REPOSITORY_ROOT/autogpt/core/runner/cli_app/cli.py make-settings
```

to launch the interaction loop.

## CLI Web App

The second app is still a CLI, but it sets up a local webserver that the client application talks to rather than invoking calls to the Agent library code directly.  This application is essentially a sketch at this point as the folks who were driving it have had less time (and likely not enough clarity) to proceed.

- [Entry Point](https://github.com/Significant-Gravitas/Auto-GPT/blob/re-arch/hello-world/autogpt/core/runner/cli_web_app/cli.py)
- [Client Application](https://github.com/Significant-Gravitas/Auto-GPT/blob/re-arch/hello-world/autogpt/core/runner/cli_web_app/client/client.py)
- [Server API](https://github.com/Significant-Gravitas/Auto-GPT/blob/re-arch/hello-world/autogpt/core/runner/cli_web_app/server/api.py)

To run, you still need to generate a default configuration.  You can do 

```
python REPOSITORY_ROOT/autogpt/core/runner/cli_web_app/cli.py
make-settings
```

It invokes the same command as the bare CLI app, so follow the instructions above about setting your API key.

To run, do 

```
python REPOSITORY_ROOT/autogpt/core/runner/cli_web_app/cli.py client
```

This will launch a webserver and then start the client cli application to communicate with it.

⚠️ I am not actively developing this application.  It is a very good place to get involved if you have web application design experience and are looking to get involved in the re-arch.

---------

Co-authored-by: David Wurtz <davidjwurtz@gmail.com>
Co-authored-by: Media <12145726+rihp@users.noreply.github.com>
Co-authored-by: Richard Beales <rich@richbeales.net>
Co-authored-by: Daryl Rodrigo <darylrodrigo@gmail.com>
Co-authored-by: Daryl Rodrigo <daryl@orkestro.com>
Co-authored-by: Swifty <craigswift13@gmail.com>
Co-authored-by: Nicholas Tindle <nick@ntindle.com>
Co-authored-by: Merwane Hamadi <merwanehamadi@gmail.com>
2023-07-05 12:12:05 -07:00

93 lines
2.4 KiB
Python

import abc
from pprint import pformat
from typing import ClassVar
import inflection
from pydantic import Field
from autogpt.core.ability.schema import AbilityResult
from autogpt.core.configuration import SystemConfiguration
from autogpt.core.planning.simple import LanguageModelConfiguration
class AbilityConfiguration(SystemConfiguration):
"""Struct for model configuration."""
from autogpt.core.plugin.base import PluginLocation
location: PluginLocation
packages_required: list[str] = Field(default_factory=list)
language_model_required: LanguageModelConfiguration = None
memory_provider_required: bool = False
workspace_required: bool = False
class Ability(abc.ABC):
"""A class representing an agent ability."""
default_configuration: ClassVar[AbilityConfiguration]
@classmethod
def name(cls) -> str:
"""The name of the ability."""
return inflection.underscore(cls.__name__)
@classmethod
@abc.abstractmethod
def description(cls) -> str:
"""A detailed description of what the ability does."""
...
@classmethod
@abc.abstractmethod
def arguments(cls) -> dict:
"""A dict of arguments in standard json schema format."""
...
@classmethod
def required_arguments(cls) -> list[str]:
"""A list of required arguments."""
return []
@abc.abstractmethod
async def __call__(self, *args, **kwargs) -> AbilityResult:
...
def __str__(self) -> str:
return pformat(self.dump)
def dump(self) -> dict:
return {
"name": self.name(),
"description": self.description(),
"parameters": {
"type": "object",
"properties": self.arguments(),
"required": self.required_arguments(),
},
}
class AbilityRegistry(abc.ABC):
@abc.abstractmethod
def register_ability(
self, ability_name: str, ability_configuration: AbilityConfiguration
) -> None:
...
@abc.abstractmethod
def list_abilities(self) -> list[str]:
...
@abc.abstractmethod
def dump_abilities(self) -> list[dict]:
...
@abc.abstractmethod
def get_ability(self, ability_name: str) -> Ability:
...
@abc.abstractmethod
def perform(self, ability_name: str, **kwargs) -> AbilityResult:
...