Pull master into Release v0.4.4 #4903
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Co-authored-by: merwanehamadi <[email protected]>
Co-authored-by: merwanehamadi <[email protected]> Co-authored-by: Luke K (pr-0f3t) <[email protected]>
Co-authored-by: Reinier van der Leer <[email protected]>
Co-authored-by: Luke <[email protected]>
…antic 2.0 (#4858) As per pydantic/pydantic#1729 (comment), the implementation of `model_post_init()` is postponed until Pydantic v2. As a result, the initialization of PluginConfig is being skipped. This fix calls `plugin.model_post_init()` explicitly. The recency of the Pydantic v2 release means that some of the other extensions we use do not support it yet. Specifically, extensions such as spacy and openapi-python-client are currently limited to Pydantic versions that are less than 2.0. There may be other extensions that have the same limitation as well. --------- Co-authored-by: Reinier van der Leer <[email protected]>
Simplified plugin log messages to make plugin debugging easier --------- Co-authored-by: Reinier van der Leer <[email protected]>
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 :star2: **This is the reference application I'm working with for now** :star2: 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. :warning: 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 <[email protected]> Co-authored-by: Media <[email protected]> Co-authored-by: Richard Beales <[email protected]> Co-authored-by: Daryl Rodrigo <[email protected]> Co-authored-by: Daryl Rodrigo <[email protected]> Co-authored-by: Swifty <[email protected]> Co-authored-by: Nicholas Tindle <[email protected]> Co-authored-by: Merwane Hamadi <[email protected]>
* Fix Config model initialization * Fix basedir determination in install_plugin_dependencies * Add logging to install_plugin_dependencies() --------- Co-authored-by: collijk <[email protected]>
Co-authored-by: merwanehamadi <[email protected]>
* New Challenge test_information_retrieval_challenge_c I created a new challenge needs a bit of work * Update current_score.json Changed max level beaten to null * reformatted test_information_retrieval_challenge_c with black reformatted test_information_retrieval_challenge_c with black --------- Co-authored-by: merwanehamadi <[email protected]>
* Update setup.md Change "docker-compose" command to "docker compose" to avoid future issues with running the Docker method (`docker-compose` is v1 and is outdated, is not a recognized command with newer versions of Docker engine) * Update usage.md * Update comment in docker-compose.yml --------- Co-authored-by: Reinier van der Leer <[email protected]>
Co-authored-by: Reinier van der Leer <[email protected]>
Co-authored-by: Reinier van der Leer <[email protected]> Co-authored-by: Luke <[email protected]>
* [Fix] Recover the azure config load function * [Style] Apply black, isort, mypy, autoflake * [Fix] Rename the return parameter from 'azure_model_map' to 'azure_model_to_deployment_id_map' * [Feat] Change the azure config file path to be dynamically configurable * [Test] Add azure_config and azure deployment_id_for_model * [Style] Apply black, isort, mypy, autoflake * [Style] Apply black, isort, mypy, autoflake * Refactor Azure configuration - Refactor the `azure_config_file` attribute in the `Config` class to be optional. - Refactor the `azure_model_to_deployment_id_map` attribute in the `Config` class to be optional and provide default values. - Update the `get_azure_deployment_id_for_model` function to accept additional parameters. - Update references to `get_azure_deployment_id_for_model` in `create_text_completion`, `create_chat_completion`, and `get_embedding` functions to pass the required parameters. * Clean up process for azure * Docstring * revert some unneccessary fiddling * Avoid altering args to models * Retry on 404s * Don't permanently change the environment * Formatting --------- Co-authored-by: Luke <[email protected]> Co-authored-by: lc0rp <[email protected]> Co-authored-by: collijk <[email protected]>
* Use GPT-4 as default smart LLM in Agent * Rename (smart|fast)_llm_model to (smart|fast)_llm everywhere * Fix test_config.py::test_initial_values * Fix test_config.py::test_azure_config * Fix Azure config backwards compatibility
* changing configs names to tts_provider * accidently triggered circular importing. * added config to places it needs other than the logger * got it to work on windows * did all the formatting stuff --------- Co-authored-by: James Collins <[email protected]>
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* Fix --gpt3only and --gpt4only * Fix and consolidate test_config.py::test_azure_config (x2) --------- Co-authored-by: Luke K (pr-0f3t) <[email protected]> Co-authored-by: Ryan <[email protected]> Co-authored-by: Reinier van der Leer <[email protected]>
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This PR exceeds the recommended size of 500 lines. Please make sure you are NOT addressing multiple issues with one PR. |
Pwuts
approved these changes
Jul 7, 2023
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Bringing the release-v0.4.4 branch up to speed in prep for release