- Introduced new interfaces for various store modules including environment, file, git, layout, node, notification alerts, channels, requests, settings, plugins, projects, roles, schedules, spiders, systems, tags, tasks, tokens, and users.
- Each module includes state, getters, mutations, and actions definitions to enhance type safety and maintainability.
- Added utility interfaces for file handling and view-specific types for database, git, login, node, project, result, schedule, spider, task, and user.
- Improved overall structure and organization of TypeScript typings for better developer experience.
- Implemented PING message handling in TaskServiceServer to acknowledge health check pings.
- Updated isConnectionHealthy method in Runner to use a non-blocking approach for health checks, preventing interference with log streams.
- Introduced lastConnCheck timestamp to optimize health check frequency based on recent activity.
- Added PING code to TaskServiceConnectCode enum in proto definition and generated files.
- Updated gRPC client and server interfaces to support new PING functionality.
- Introduced PING code in TaskServiceConnectCode enum for health checks.
- Updated Runner to use proper PING messages instead of fake log messages for connection health checks.
- Modified TaskServiceServer to handle PING requests and acknowledge them.
- Adjusted generated gRPC files to reflect changes in proto definitions and ensure compatibility.
- Added service_operations.go for task management including run, cancel, and execution logic.
- Introduced stream_manager.go to handle task streams and manage cancellation signals.
- Created worker_pool.go to manage a bounded pool of workers for executing tasks concurrently.
- Implemented graceful shutdown and cleanup mechanisms for task runners and streams.
- Enhanced error handling and logging throughout the task management process.
chore: update package version to 0.1.1-dev.6 and adjust dependencies in pnpm-lock.yaml
refactor: change import paths to relative in tools.ts for consistency
- Implemented new API methods in CrawlabClient for managing LLM providers and AutoProbes.
- Added prompts for setting up AI-powered web scraping with AutoProbe and configuring LLM providers.
- Created a new module for AI tools, integrating various functionalities including listing, creating, updating, and deleting LLM providers and AutoProbes.
- Enhanced error handling and response formatting for better user experience.
