- add ability to extract parameter descriptions from docstring
- add ability to determine parameter JSON schemas from function signature
- add `JSONSchema.from_python_type` factory
### Background
Introduced initial database schema for AutoGPT server.
It currently consists of 7 tables:
* `AgentGraph`: This model describes the Agent Graph/Flow (Multi Agent System).
* `AgentNode`: This model describes a single node in the Agent Graph/Flow (Multi Agent System).
* `AgentNodeLink`: This model describes the link between two AgentNodes.
* `AgentNodeExecution`: This model describes the execution of an AgentNode.
* `AgentBlock`: This model describes a component that will be executed by the AgentNode (all the details required, like name, code, input/output).
* `AgentBlockInputOutput`: This model describes the output (produced event) or input (consumed event) of an AgentBlock.
* `FileDefinition`: This model describe a file that can be used as input/output of an AgentNodeExecution.
### Changes 🏗️
* Add Prisma
* Add sqlite3
* Initialize database.
* Update instructions to set up OpenAI / GPT-4 access
* Add instructions to set up Anthropic access
* Add instructions to set up Groq access
* Remove GPT-specific `--gpt3only`, `--gpt4only` CLI flags and related logic
* Remove duplicate config instructions from docker setup page, replace it by a link to the standard setup instructions
### Background
###### Project Outline
Currently, the project mainly consists of these components:
*agent_api*
A component that will expose API endpoints for the creation & execution of agents.
This component will make connections to the database to persist and read the agents.
It will also trigger the agent execution by pushing its execution request to the ExecutionQueue.
*agent_executor*
A component that will execute the agents.
This component will be a pool of processes/threads that will consume the ExecutionQueue and execute the agent accordingly.
The result and progress of its execution will be persisted in the database.
###### How to test
Execute `poetry run app`.
Access the swagger page `http://localhost:8000/docs`, there is one API to trigger an execution of one dummy slow task, you fire the API a couple of times and see the `agent_executor` executes the multiple slow tasks concurrently by the pool of Python processes.
The pool size is currently set to `5` (hardcoded in app.py, the code entry point).
##### Changes 🏗️
* Initialize FastAPI for the AutoGPT server project.
* Reduced number of queues to 1 and abstracted into `ExecutionQueue` class.
* Reduced the number of main components into two `api` and `executor`.
- Add `_BaseOpenAIProvider`, `BaseOpenAIChatProvider`, and `BaseOpenAIEmbeddingProvider`, which implement the shared functionality of OpenAI-like providers, e.g. `GroqProvider` and `OpenAIProvider`
- (Re)move as much code as possible from `GroqProvider` and `OpenAIProvider` by rebasing them on `BaseOpenAI(Chat|Embedding)Provider`
Also:
- Rename `get_available_models()` to `get_available_chat_models()` on `BaseChatModelProvider`
- Add `get_available_models()` to `BaseModelProvider`
- Add `get_available_embedding_models()` to `BaseEmbeddingModelProvider`
- Move common `fix_failed_parse_tries` config attribute into base `ModelProviderConfiguration`
* Add default AutoGPT profile to ai_profile.py & disable profile generator
* Disable custom AI profile generation in agent_protocol_server.py
- Replace `generate_agent_for_task` by `create_agent`
- Make `ai_profile` parameter on `create_agent` optional (use default `AIProfile` if not passed)
* Generalize example call in profile_generator.py
Currently it's specified in an OpenAI-specific format, which might adversely affect performance with other providers.
* Remove dead `AIProfile.api_budget` attribute
* Remove `agent.ai_profile` and `agent.directives` attributes, and replace usages with `agent.state.*`
This prevents potential state inconsistency between `agent` and `agent.state` when other values are assigned to `agent.ai_profile` and `agent.directives`
- **FIX ALL LINT/TYPE ERRORS IN AUTOGPT, FORGE, AND BENCHMARK**
### Linting
- Clean up linter configs for `autogpt`, `forge`, and `benchmark`
- Add type checking with Pyright
- Create unified pre-commit config
- Create unified linting and type checking CI workflow
### Testing
- Synchronize CI test setups for `autogpt`, `forge`, and `benchmark`
- Add missing pytest-cov to benchmark dependencies
- Mark GCS tests as slow to speed up pre-commit test runs
- Repair `forge` test suite
- Add `AgentDB.close()` method for test DB teardown in db_test.py
- Use actual temporary dir instead of forge/test_workspace/
- Move left-behind dependencies for moved `forge`-code to from autogpt to forge
### Notable type changes
- Replace uses of `ChatModelProvider` by `MultiProvider`
- Removed unnecessary exports from various __init__.py
- Simplify `FileStorage.open_file` signature by removing `IOBase` from return type union
- Implement `S3BinaryIOWrapper(BinaryIO)` type interposer for `S3FileStorage`
- Expand overloads of `GCSFileStorage.open_file` for improved typing of read and write modes
Had to silence type checking for the extra overloads, because (I think) Pyright is reporting a false-positive:
https://github.com/microsoft/pyright/issues/8007
- Change `count_tokens`, `get_tokenizer`, `count_message_tokens` methods on `ModelProvider`s from class methods to instance methods
- Move `CompletionModelFunction.schema` method -> helper function `format_function_def_for_openai` in `forge.llm.providers.openai`
- Rename `ModelProvider` -> `BaseModelProvider`
- Rename `ChatModelProvider` -> `BaseChatModelProvider`
- Add type `ChatModelProvider` which is a union of all subclasses of `BaseChatModelProvider`
### Removed rather than fixed
- Remove deprecated and broken autogpt/agbenchmark_config/benchmarks.py
- Various base classes and properties on base classes in `forge.llm.providers.schema` and `forge.models.providers`
### Fixes for other issues that came to light
- Clean up `forge.agent_protocol.api_router`, `forge.agent_protocol.database`, and `forge.agent.agent`
- Add fallback behavior to `ImageGeneratorComponent`
- Remove test for deprecated failure behavior
- Fix `agbenchmark.challenges.builtin` challenge exclusion mechanism on Windows
- Fix `_tool_calls_compat_extract_calls` in `forge.llm.providers.openai`
- Add support for `any` (= no type specified) in `JSONSchema.typescript_type`
* Add `FileStorage.mount()` method, which mounts (part of) the workspace to a local path
* Add `watchdog` library to watch file changes in mount
* Amend `CodeExecutorComponent`
* Amend `execute_python_file` to execute Python files in a workspace mount
* Amend `execute_python_code` to create temporary .py file in workspace instead of as a local file
* Add support for `Path` argument to `filename` parameter on `execute_python_file`
* Fix `test_execute_python_code` (by making it async)
- Move `autogpt/Dockerfile` to `Dockerfile.autogpt`
- Write new selective `.dockerignore` (in repo root) to keep build context clean
- Amend `autogpt/docker-compose.yml` and all `autogpt-docker-*.yml` workflows accordingly
- Include `forge/` in docker build context so it can be used as a path dependency
- Include `frontend/` in docker builds
- Moved `autogpt` and `forge` to project root
- Removed `autogpts` directory
- Moved and renamed submodule `autogpts/autogpt/tests/vcr_cassettes` to `autogpt/tests/vcr_cassettes`
- When using CLI agents will be created in `agents` directory (instead of `autogpts`)
- Renamed relevant docs, code and config references from `autogpts/[forge|autogpt]` to `[forge|autogpt]` and from `*../../*` to `*../*`
- Updated `CODEOWNERS`, GitHub Actions and Docker `*.yml` configs
- Updated symbolic links in `docs`
Remove unused `forge` code and improve structure of `forge`.
* Put all Agent Protocol stuff together in `forge.agent_protocol`
* ... including `forge.agent_protocol.database` (was `forge.db`)
* Remove duplicate/unused parts from `forge`
* `forge.actions`, containing old commands; replaced by `forge.components` from `autogpt`
* `forge/agent.py` (the old one, `ForgeAgent`)
* `forge/app.py`, which was used to serve and run the `ForgeAgent`
* `forge/db.py` (`ForgeDatabase`), which was used for `ForgeAgent`
* `forge/llm.py`, which has been replaced by new `forge.llm` module which was ported from `autogpt.core.resource.model_providers`
* `forge.memory`, which is not in use and not being maintained
* `forge.sdk`, much of which was moved into other modules and the rest is deprecated
* `AccessDeniedError`: unused
* `forge_log.py`: replaced with `logging`
* `validate_yaml_file`: not needed
* `ai_settings_file` and associated loading logic and env var `AI_SETTINGS_FILE`: unused
* `prompt_settings_file` and associated loading logic and env var `PROMPT_SETTINGS_FILE`: default directives are now provided by the `SystemComponent`
* `request_user_double_check`, which was only used in `AIDirectives.load`
* `TypingConsoleHandler`: not used
