Files
Auto-GPT/autogpt/core/plugin/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

156 lines
4.4 KiB
Python

import abc
import enum
from typing import TYPE_CHECKING, Type
from pydantic import BaseModel
from autogpt.core.configuration import SystemConfiguration, UserConfigurable
if TYPE_CHECKING:
from autogpt.core.ability import Ability, AbilityRegistry
from autogpt.core.memory import Memory
from autogpt.core.resource.model_providers import (
EmbeddingModelProvider,
LanguageModelProvider,
)
# Expand to other types as needed
PluginType = (
Type[Ability] # Swappable now
| Type[AbilityRegistry] # Swappable maybe never
| Type[LanguageModelProvider] # Swappable soon
| Type[EmbeddingModelProvider] # Swappable soon
| Type[Memory] # Swappable now
# | Type[Planner] # Swappable soon
)
class PluginStorageFormat(str, enum.Enum):
"""Supported plugin storage formats.
Plugins can be stored at one of these supported locations.
"""
INSTALLED_PACKAGE = "installed_package" # Required now, loads system defaults
WORKSPACE = "workspace" # Required now
# OPENAPI_URL = "open_api_url" # Soon (requires some tooling we don't have yet).
# OTHER_FILE_PATH = "other_file_path" # Maybe later (maybe now)
# GIT = "git" # Maybe later (or soon)
# PYPI = "pypi" # Maybe later
# AUTOGPT_PLUGIN_SERVICE = "autogpt_plugin_service" # Long term solution, requires design
# AUTO = "auto" # Feature for later maybe, automatically find plugin.
# Installed package example
# PluginLocation(
# storage_format='installed_package',
# storage_route='autogpt_plugins.twitter.SendTwitterMessage'
# )
# Workspace example
# PluginLocation(
# storage_format='workspace',
# storage_route='relative/path/to/plugin.pkl'
# OR
# storage_route='relative/path/to/plugin.py'
# )
# Git
# PluginLocation(
# storage_format='git',
# Exact format TBD.
# storage_route='https://github.com/gravelBridge/AutoGPT-WolframAlpha/blob/main/autogpt-wolframalpha/wolfram_alpha.py'
# )
# PyPI
# PluginLocation(
# storage_format='pypi',
# storage_route='package_name'
# )
# PluginLocation(
# storage_format='installed_package',
# storage_route='autogpt_plugins.twitter.SendTwitterMessage'
# )
# A plugin storage route.
#
# This is a string that specifies where to load a plugin from
# (e.g. an import path or file path).
PluginStorageRoute = str
class PluginLocation(SystemConfiguration):
"""A plugin location.
This is a combination of a plugin storage format and a plugin storage route.
It is used by the PluginService to load plugins.
"""
storage_format: PluginStorageFormat = UserConfigurable()
storage_route: PluginStorageRoute = UserConfigurable()
class PluginMetadata(BaseModel):
"""Metadata about a plugin."""
name: str
description: str
location: PluginLocation
class PluginService(abc.ABC):
"""Base class for plugin service.
The plugin service should be stateless. This defines the interface for
loading plugins from various storage formats.
"""
@staticmethod
@abc.abstractmethod
def get_plugin(plugin_location: PluginLocation) -> "PluginType":
"""Get a plugin from a plugin location."""
...
####################################
# Low-level storage format loaders #
####################################
@staticmethod
@abc.abstractmethod
def load_from_file_path(plugin_route: PluginStorageRoute) -> "PluginType":
"""Load a plugin from a file path."""
...
@staticmethod
@abc.abstractmethod
def load_from_import_path(plugin_route: PluginStorageRoute) -> "PluginType":
"""Load a plugin from an import path."""
...
@staticmethod
@abc.abstractmethod
def resolve_name_to_path(
plugin_route: PluginStorageRoute, path_type: str
) -> PluginStorageRoute:
"""Resolve a plugin name to a plugin path."""
...
#####################################
# High-level storage format loaders #
#####################################
@staticmethod
@abc.abstractmethod
def load_from_workspace(plugin_route: PluginStorageRoute) -> "PluginType":
"""Load a plugin from the workspace."""
...
@staticmethod
@abc.abstractmethod
def load_from_installed_package(plugin_route: PluginStorageRoute) -> "PluginType":
"""Load a plugin from an installed package."""
...