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