* Replace `ast.literal_eval` with `json.loads` in `extract_dict_from_response`
This fixes a bug where boolean values could not be decoded because of their required capitalization in Python.
- Pydantic shallow-copies models when they are passed into a parent model, meaning they can't be updated through the original reference. This commit adds a fix for the resulting cost persistence issue.
- The `extract_dict_from_response` function, which is supposed to reliably extract a JSON object from an LLM's response, positively discriminated objects defined on a single line, causing issues.
- `summarize_text` and `QueryLanguageModel.__call__` still tried to access `response["content"]`, which isn't possible since upgrading to the OpenAI v1 client library.
- When an Artifact's file is modified by the agent, set its `agent_created` attribute to `True` instead of registering a new Artifact
- Update the `autogpt-forge` dependency to the newest version, in which `AgentDB.update_artifact` has been implemented
- Update `openai` dependency from ^v0.27.10 to ^v1.7.2
- Update poetry.lock
- Update code for changed endpoints and new output types of OpenAI library
- Replace uses of `AssistantChatMessageDict` by `AssistantChatMessage`
- Update `PromptStrategy`, `BaseAgent`, and all of their subclasses accordingly
- Update `OpenAIProvider`, `OpenAICredentials`, azure.yaml.template, .env.template and test_config.py to work with new separate `AzureOpenAI` client
- Remove `_OpenAIRetryHandler` and implement retry mechanism with `tenacity`
- Rewrite pytest fixture `cached_openai_client` (renamed from `patched_api_requestor`) for OpenAI v1 library
* Update `openai` dependency from `^0.27.8` to `^1.7.2`
* Update `litellm` dependency from `^0.1.821` to `^1.17.9`
* Migrate llm.py from OpenAI module-level client to client instance
* Update return types in llm.py for new OpenAI and LiteLLM versions
* Also remove `Exception` as a return type because they are raised, not returned
* Update tutorials/003_crafting_agent_logic.md accordingly
Note: this changes the output types of the functions in `forge.llm`: `chat_completion_request`, `create_embedding_request`, `transcribe_audio`
* docs: Add documentation on how to use Agent Protocol in the template
- Added documentation on how to use Agent Protocol and its settings in the `.env.template` file.
- An explanation is provided for the `AP_SERVER_PORT` and `AP_SERVER_DB_URL` settings.
- This change aims to improve the understanding and usage of Agent Protocol in the project.
* docs: Update usage.md with information about configuring the API port
- Update the documentation for the `serve` mode in `usage.md`
- Add information about configuring the port for the API server using the `AP_SERVER_PORT` environment variable.
---------
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
When executing `port = os.getenv("PORT", 8000)` if the port is being fetched from a `.env` file it is fetched as a string.
This caused an error: `TypeError: 'str' object cannot be interpreted as an integer`
gitpython was installed as an indirect dependency via agbenchmark. The release builds don't contain agbenchmark and thus also lack the gitpython package, which breaks the image.
- Move `auto-gpt-plugin-template` from dev dependencies to regular dependencies in `pyproject.toml`.
- Fixes#6566 - No module named 'auto_gpt_plugin_template'.
- Add logging to capture errors raised during execution of actions in the Agent
- Move `fmt_kwargs` function from `agent_protocol_server.py` to `logs/utils.py`
- Update the `read_file` function in `file_operations.py` to pass the file's extension to the `decode_textual_file` function.
- Modify the `decode_textual_file` function in `file_operations_utils.py` to accept the file extension as an argument.
- Update the `content` property in the `FileContextItem` class in `context_item.py` to pass the file's extension to the `decode_textual_file` function.
- Update the `test_parsers` function in `test_text_file_parsers.py` to pass the file extension to the `decode_textual_file` function.
- Prevent the Agent from treating `AgentTerminated` like it would any other exception raised by a command.
- The agent should raise AgentTerminated exception to exit the loop.
- Fix the parsing of invalid LLM responses by appending an error message to the prompt and allowing the LLM to fix its mistakes.
- Update the `OpenAIProvider` to handle the self-correction process and limit the number of attempts to fix parsing errors.
- Update the `BaseAgent` to profit from the new pasing and parse-fixing mechanism.
This change ensures that the system can handle and recover from errors in parsing LLM responses.
Hopefully this fixes#1407 once and for all.
- Updated the quick links and user guide URLs in the bulletin
- Released v0.5.0 with cloud-readiness, a new UI, support for the newest Agent Protocol version, and other improvements
See the release notes on Github for more details: https://github.com/Significant-Gravitas/AutoGPT/releases
- Removed unnecessary print_attribute calls in configurators.py and configurator.py files
- Consolidated printing of configuration attributes in main.py for improved readability and reduced log spam in Agent Protocol mode
- Update GCSFileWorkspace.initialize() to handle cases where the bucket doesn't exist and create it if necessary
- Add logging to S3FileWorkspace.initialize() and GCSFileWorkspace.initialize()
- Update GCSFileWorkspace.list() and S3FileWorkspace.list() to correctly handle nested paths and return the relative paths of files
- Fix tests for GCSFileWorkspace and S3FileWorkspace to account for the changes in initialization and listing behavior
- Fix S3FileWorkspace.open_file() to correctly switch between binary and text mode
- Added tests to verify the fixes in workspace initialization and listing behavior
- Fixes#6553 (`web_search` command not working)
- v3.x.x of the duckduckgo-search library no longer works, so updating to v4.0.0 unbreaks the `web_search` command
feat: Add dependencies required to use PostgreSQL
- Added psycopg2-binary version 2.9.9 to the dependencies in pyproject.toml
- Updated the poetry.lock file with the new package information
- Update the signature of `FileWorkspace.open_file` and fix implementations in every workspace backend
- Replace `open()` with `workspace.open_file` in the `read_file` command to use the workspace's file opening functionality
- Fix the parametrization of the `test_text_file_parsers` test to correctly test text file parsers
- Adjusted path processing and use of `agent.workspace` in the file_operations.py module to prevent double path resolution.
- Updated the `is_duplicate_operation` and `log_operation` functions in file_operations.py to use the `make_relative` argument of the `sanitize_path_arg` decorator.
- Refactored the `write_to_file`, `list_folder`, and `list_files` functions in file_operations.py to accept both string and Path objects as the path argument.
- Modified the GCSFileWorkspace and S3FileWorkspace classes in the file_workspace module to ensure that the root path is always an absolute path.
This commit addresses issues with path processing in the file_operations.py module and across different workspace backend implementations. The changes ensure that relative paths are correctly converted to absolute paths where necessary and that the file operations logic functions consistently handle path arguments as strings or Path objects. Additionally, the GCSFileWorkspace and S3FileWorkspace classes now enforce that the root path is always an absolute path.
- Remove X- prefix from X-AutoGPT-UserID, X-AP-TaskID, and X-AP-StepID headers
- Refactor literal references to "ask_user" to `ask_user.__name__` in AgentProtocolServer
- Fix type annotation for `agent_id` in `BaseAgentSettings` class
- Add assertion to ensure `agent_id` is not an empty string in `AgentManager.get_agent_dir()` method
- Change type of `override_name` and `override_role` to be optional in `apply_overrides_to_ai_settings()` function
- Update `AgentProtocolServer` to include `X-AP-TaskID` and `X-AutoGPT-UserID` headers in outgoing requests for Agent Protocol tasks.
- Modify `ModelProvider` and `OpenAIProvider` to allow configuring extra headers to be added to all outgoing requests.
- Fix the type of the `task_id` parameter in `AgentProtocolServer.get_task`
- Update the return type of the `AgentProtocolServer.get_artifact` method to `StreamingResponse`.
- Fix the Content-Disposition header in the response to include quotes around the filename.
- Fixed the persistence issue of additional_input and additional_output in the Step class in `forge.sdk`. The additional_input and additional_output attributes were not typed and initialized properly.
