- 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.
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.
- Fetch URL and extract readable text
- HTML to plain text conversion
- Removes scripts, styles, and HTML tags
- Decodes HTML entities
- JSON pretty printing
- SSRF protection
- Includes 6 unit tests
- HTTP client with GET/POST/PUT/DELETE/PATCH support
- Domain allowlist for security
- SSRF protection (blocks private IPs, localhost)
- Response size limit and truncation
- Timeout control
- Includes 8 unit tests
- Execute shell commands with timeout
- Safety guards block dangerous commands (rm -rf, fork bombs)
- Output truncation for large outputs
- Working directory support
- Includes 7 unit tests
- Edit file by replacing old_text with new_text
- Supports multiline edits
- Fuzzy line-based matching for minor differences
- replace_all option for batch replacement
- Includes 5 unit tests
- 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.
