* Feat(Builder): Add Runner input and ouput screens
* Fix run button not working
* prettier
* prettier again -- forgot flow
* fix input scaling + auto close on run
* removed "Runner Input" button to make it auto open runner input if input block is + Fixed issue with output not showing in output UI
* replaced runner output icon and added a new icon for it
* replaced IconOutput icon with LogOut from lucide-react
* prettier
* fix type safety issue + add error handling for formatOutput
* Updates based on comments
* prettier for utils
### Background
We need a way to set an execution quota per user for each block execution.
### Changes 🏗️
* Introduced a `UserBlockCredit`, a transaction table tracking the block usage along with it cost/quota.
* The tracking is toggled by `ENABLE_CREDIT` config, default = false.
* Introduced `BLOCK_COSTS` | `GET /blocks/costs` as a source of information for the cost on each block depending on the input configuration.
Improvements:
* Refactor logging in manager.py to always print a prefix and pass the metadata.
* Make executionStatus on AgentNodeExecution prisma enum. And add executionStatus on AgentGraphExecution.
* Use executionStatus from AgentGraphExecution to improve waiting logic on test_manager.py.
- feat(server): Initial draft of OAuth init and exchange endpoints
- Add `supabase` dependency
- Add Supabase credentials to `Secrets`
- Add `get_supabase` utility to `.server.utils`
- Add `.server.integrations` API segment with initial implementations for OAuth init and exchange endpoints
- Move integration OAuth handlers to `autogpt_server.integrations.oauth`
- Change constructor of `SupabaseIntegrationCredentialsStore` to take a Supabase client
- Fix type issues in `GoogleOAuthHandler`
* feat(builder): Add skeleton loading components for Monitor views
Introduce skeleton components for Agents, Flow Runs List, and Flow Runs Status sections to enhance loading state indication. These components help improve user experience by visually outlining content placeholders while data is being fetched.
* feat(builder): Leveraging NextJS's error boundary with error.tsx
Replace the basic error page with a more detailed and interactive error component. The new component includes a retry option, a link to the homepage, and logs the error details to the console. It also aligns with NextJS standards
---------
- Make process/service startup/shutdown messages consistent
- Configure `uvicorn` to use our logging config instead of its own
- Replace `print(..)` statements in ws_api.py with log statements
- Improve log statements in ws_api.py
- Handle JSON-encoding inside `.data.execution.upsert_execution_output(..)` to ensure it is always encoded the same
- Amend `.executor.manager.execute_node(..)` to pass unencoded data into `upsert_execution_output(..)`
- Add SIGTERM handler and `cleanup()` hook to `AppProcess`
- Implement `cleanup()` on `AppService` to close DB and Redis connections
- Implement `cleanup()` on `ExecutionManager` to shut down worker pool
- Add `atexit` and SIGTERM handlers to node executor to close DB connection and shut down node workers
- Improve logging in `.executor.manager`
- Fix shutdown order of `.util.test:SpinTestServer`
- feat(builder): Add "Stop Run" buttons to monitor and builder
- Implement additional state management in `useAgentGraph` hook
- Add "stop" request mechanism
- Implement execution status tracking using WebSockets
- Add `isSaving`, `isRunning`, `isStopping` outputs
- Add `requestStopRun` method
- Rename `requestSaveRun` to `requestSaveAndRun` for clarity
- Add needed functionality for the above to `AutoGPTServerAPI` client
- Add `stopGraphExecution` method
- Add support for multiple handlers per WebSocket method
- Fix parsing of timestamps in `execution_event` WebSocket messages
- Add `IconSquare` from Lucide to `@/components/ui/icons`
- feat(server): Add `POST /graphs/{graph_id}/executions/{graph_exec_id}/stop` route
- Add `stop_graph_run` method to `AgentServer`
- feat(server): Add `cancel_execution` method to `ExecutionManager`
- Replace node executor `ProcessPoolExecutor` by `multiprocessing.Pool` (which has a `terminate()` method)
- Remove now unnecessary `Executor.wait_future(..)` method
- Add `get_graph_execution(..)` in `.data.execution`
- fix(server): Reduce number of node executors to 5 per graph executor
This is necessary because `multiprocessing.Pool` spawns its workers on init, instead of based on demand like `ProcessPoolExecutor` does
- dx(server): Improve debug logging in `ExecutionManager`
- ci(server): Add debug logging mode to CI Pytest step
### Other improvements
Server:
- Improve output type of `ExecutionManager.add_execution(..)`
- Renamed a few things in `.server.rest_api` for consistency
Front end:
- Improved typing in `AutoGPTServerAPI` client
