- 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.
- 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.
Implement parallel tool execution in AgentLoop, following the approach
used in Nanobot (_partition_tool_batches) and Zeroclaw (parallel_tools).
Key changes:
- partition_tool_batches(): group tool calls into batches based on
concurrency_safe flag. Safe tools run in parallel via join_all;
exclusive tools (e.g. bash) run in their own sequential batch.
- execute_tools(): now uses batching instead of flat sequential loop.
- CalculatorTool: add read_only() -> true so it participates in
parallel batches (it has no side effects, so concurrency_safe = true).
4 unit tests added covering: mixed safe/exclusive, all-safe single
batch, all-exclusive separate batches, unknown tool defaults.
- 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.
- Removed internal history management from AgentLoop.
- Updated process method to accept conversation history as a parameter.
- Adjusted continue_with_tool_results to work with external history.
- Added OutboundDispatcher for handling outbound messages from MessageBus.
- Introduced InboundMessage and OutboundMessage structs for message handling.
- Updated Channel trait to include message handling and publishing to MessageBus.
- Refactored Session to manage chat histories instead of AgentLoop instances.
- Enhanced GatewayState to start message processing loops for inbound and outbound messages.
- Introduced a new CalculatorTool for performing various arithmetic and statistical calculations.
- Enhanced the AgentLoop to support tool execution, including handling tool calls in the process flow.
- Updated ChatMessage structure to include optional fields for tool call identification and names.
- Modified the Session and SessionManager to manage tool registrations and pass them to agents.
- Updated the OpenAIProvider to serialize tool-related message fields.
- Added a ToolRegistry for managing multiple tools and their definitions.
- Implemented tests for the CalculatorTool to ensure functionality and correctness.
