- Introduced `TaskConfig` struct to manage task-related configurations.
- Implemented `TaskTool` for creating and managing subagents for complex tasks.
- Added `TaskSession` and `TaskRepository` for handling task sessions and persistence.
- Created `DefaultSubAgentRuntime` to execute tasks with timeout and history support.
- Enhanced `ToolContext` to include `subagent_description` for better context tracking.
- Implemented error handling for task execution and session management.
- Updated `ToolRegistryFactory` to register task tools conditionally based on configuration.
- Added prompt builders for subagent tasks to improve interaction clarity.
- Add WeChatBotError enum for error handling with various error types.
- Create a Result type alias for easier error management.
- Implement ILinkClient for low-level API interactions including QR code generation, message sending, and updates retrieval.
- Define message types and structures for handling incoming messages and media content.
- Add tests for error handling and message parsing to ensure reliability.
Co-authored-by: Copilot <copilot@github.com>
- Introduced `SkillProvider` trait to abstract skill-related functionalities.
- Replaced `SkillRuntime` with `EmptySkillProvider` in `AgentLoop` for default behavior.
- Updated `AgentFactory` to accept `SkillProvider` instead of `SkillRuntime`.
- Created `SessionHistory` struct to manage chat histories and interactions.
- Added `MemoryRepository`, `SchedulerJobRepository`, and `SkillEventRepository` traits for better storage abstraction.
- Refactored tools to use new repository traits for memory and scheduler management.
- Cleaned up session management logic by consolidating chat history handling into `SessionHistory`.
Co-authored-by: Copilot <copilot@github.com>
- Adjusted formatting and indentation in various files for better clarity.
- Consolidated multi-line statements into single lines where appropriate.
- Enhanced error handling messages for better debugging.
- Added a new InboundProcessor struct to handle inbound messages more effectively.
- Updated test cases to ensure they align with the new code structure.
- Added `system_context` field to `ChatMessage` for better message context handling.
- Introduced constants for system context prompts in `message.rs`.
- Updated `Session` to manage background history compaction, including methods to start and finish compaction.
- Implemented logic to schedule background compaction after message processing in `SessionManager`.
- Enhanced database schema to support new `system_context` field in messages.
- Added functionality to compact active history, preserving system messages and summaries.
- Updated tests to validate new compaction logic and ensure message integrity.
- Removed unused functions and cleaned up code in various modules for better maintainability.
Co-authored-by: Copilot <copilot@github.com>
- Introduced llm_timeout_secs in ProviderConfig and LLMProviderConfig to specify timeout for LLM requests.
- Updated OpenAIProvider and AnthropicProvider to utilize the timeout setting when creating HTTP clients.
- Enhanced error handling for API responses to include timeout information.
- Modified SessionManager to support agent-specific provider configurations, allowing for more flexible agent management.
- Added tests to verify the correct behavior of timeout settings and agent task validation.
- Introduced ToolMessageState enum to represent tool execution states (Completed, PendingUserAction).
- Updated ChatMessage struct to include tool_state for tracking tool execution status.
- Modified AgentLoop to handle tool results and pending actions, providing appropriate responses to users.
- Enhanced BashTool to detect when commands require user interaction, returning a pending state with hints.
- Updated WebSocket protocol to support tool pending messages, allowing clients to handle pending actions effectively.
- Refactored related tests to ensure proper functionality of new pending state handling.
