- Change default `SMART_LLM` from `gpt-4` to `gpt-4-turbo-preview`
- Change default `FAST_LLM` from `gpt-3.5-turbo-16k` to `gpt-3.5-turbo-0125`
- Change default `EMBEDDING_MODEL` from `text-embedding-ada-002` to `text-embedding-3-small`
- Update .env.template, azure.yaml.template, and documentation accordingly
- Add `text-embedding-3-small` and `text-embedding-3-large` as `EMBEDDING_v3_S` and `EMBEDDING_v3_L` respectively
- Add `gpt-3.5-turbo-0125` as `GPT3_v4`
- Add `gpt-4-1106-vision-preview` as `GPT4_v3_VISION`
- Add GPT-4V models to info map
- Change chat model info mapping to derive info for aliases (e.g. `gpt-3.5-turbo`) from specific versions instead of the other way around
* Add `_sideload_chrome_extensions` subroutine to `open_page_in_browser` in web_selenium.py
* Sideloads uBlock Origin and I Still Don't Care About Cookies, downloading them if necessary
* Add 2-second delay to `open_page_in_browser` to allow time for handling cookie walls
Commit 956cdc7 "fix(agent/json_utils): Decode as JSON rather than Python objects" broke these unit tests because they generated "JSON" by stringifying a Python object.
* Compress steps in the prompt to reduce token usage, and to increase longevity when using models with limited context windows
* Move multiple copies of step formatting code to `Episode.format` method
* Add `EpisodicActionHistory.handle_compression` method to handle compression of new steps
* Implement `extract_information` function in `autogpt.processing.text` module. This function extracts pieces of information from a body of text based on a list of topics of interest.
* Add `topics_of_interest` and `get_raw_content` parameters to `read_webpage` commmand
* Limit maximum content length if `get_raw_content=true` is specified
* 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
