- 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.
- Added ContentBlock enum for multimodal content representation (text, image).
- Enhanced ChatMessage struct to include media references.
- Updated InboundMessage and OutboundMessage to use MediaItem for media handling.
- Implemented media download and upload functionality in FeishuChannel.
- Modified message processing in the gateway to handle media items.
- Improved logging for message processing and media handling in debug mode.
- Refactored message serialization for LLM providers to support content blocks.
