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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>
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
import json
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import logging
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from autogpt.core.configuration import Configurable, SystemConfiguration, SystemSettings
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from autogpt.core.memory.base import Memory
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from autogpt.core.workspace import Workspace
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class MemoryConfiguration(SystemConfiguration):
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pass
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class MemorySettings(SystemSettings):
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configuration: MemoryConfiguration
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class MessageHistory:
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def __init__(self, previous_message_history: list[str]):
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self._message_history = previous_message_history
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class SimpleMemory(Memory, Configurable):
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default_settings = MemorySettings(
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name="simple_memory",
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description="A simple memory.",
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configuration=MemoryConfiguration(),
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)
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def __init__(
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self,
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settings: MemorySettings,
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logger: logging.Logger,
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workspace: Workspace,
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):
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self._configuration = settings.configuration
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self._logger = logger
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self._message_history = self._load_message_history(workspace)
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@staticmethod
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def _load_message_history(workspace: Workspace):
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message_history_path = workspace.get_path("message_history.json")
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if message_history_path.exists():
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with message_history_path.open("r") as f:
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message_history = json.load(f)
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else:
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message_history = []
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return MessageHistory(message_history)
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