- 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.
- 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>
- Introduced context_window_tokens in ModelConfig and LLMProviderConfig structs.
- Updated context window estimation logic in ContextCompressor to use context_window_tokens.
- Modified tests to accommodate new context_window_tokens field.
- Refactored memory maintenance logic into a new memory_maintenance.rs file for better organization.
- Ensured backward compatibility by providing default values where necessary.
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.
- 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.
