* Add status bar and compact summary widgets with context window resolution
- Implemented a shared status bar for CLI and TUI frontends, including helpers for managing session metrics and context windows.
- Created a `CompactSummaryWidget` for displaying manual summaries in a collapsible format.
- Introduced a `CompactingWidget` to indicate ongoing compacting processes.
- Added a base class `TimedStatusWidget` for widgets that require a timer.
- Developed context window resolution helpers to retrieve context window sizes from various model attributes.
- Enhanced tests for context window resolution and status bar functionalities, ensuring accurate behavior across different scenarios.
- Updated existing tests to cover new features and maintain code quality.
* refactor(Channel): simplify lambda function in _send_with_retry method
* feat: enhance context editing logic and improve error handling in StreamState
* refactor(Channel): streamline lambda function in _send_with_retry method
* feat: rename auto-approve option to auto-mode for unattended execution; update checkpoint queries to filter by agent name; improve compatibility validation logic
* feat: rename auto-approve option to auto-mode; update related logic and tests for improved unattended execution
* fix: correct formatting of console message for MCP server configuration status
* feat: add check for None summary_message in _apply_summarization_event to prevent errors
* feat: enhance _load_checkpoint_messages to validate message format and apply summarization event
* feat: Add context management middleware for improved error handling and context editing
* feat: Implement LLMToolSelectorMiddleware for enhanced tool selection and tracking
* feat(tests): update test functions to include mock timestamp parameter
* refactor: simplify tool selection state storage and update comments in middleware
* feat: Enhance tool selection handling and suppress structured output for improved event streaming
* refactor: simplify patching in test_create_tool_selector functions
* feat: add model parameter to create_tool_selector_middleware for enhanced flexibility
* feat: enhance tool selection suppression with JSON buffering for improved accuracy
* fix: subagent summerize
* fix: group subagent text by agent name for parallel fallback
The flat subagent_text_buffer list would interleave text from parallel
sub-agents into incoherent output. Replace with a dict grouped by
agent name so each sub-agent's text stays coherent, with [name]:
attribution when multiple agents contribute.
Add comprehensive tests for the new behavior (24 tests).
* fix: group subagent text by agent name for parallel fallback
The flat subagent_text_buffer list would interleave text from parallel
sub-agents into incoherent output. Replace with a dict grouped by
agent name so each sub-agent's text stays coherent, with [name]:
attribution when multiple agents contribute.
Add comprehensive tests for the new behavior (24 tests).
* fix: group subagent text by agent name for parallel fallback
The flat subagent_text_buffer list would interleave text from parallel
sub-agents into incoherent output. Replace with a dict grouped by
agent name so each sub-agent's text stays coherent, with [name]:
attribution when multiple agents contribute.
Add comprehensive tests for the new behavior (24 tests).
* chore: fix multiple agent
* test: add test
* fix linter
* remove redundant
- Added blank lines for better separation of test cases in multiple test files.
- Reformatted event handling in tests for clarity and consistency.
- Ensured consistent use of multi-line formatting for dictionary arguments in event handling.
- Improved assertions and test descriptions for better understanding.
- Updated test cases across various modules including test_stream_state, test_stream_utils, test_summarization, test_thread_selector, test_tool_error_handler, test_tui_widgets, test_ui_runtime, and test_wechat_channel.
- Implemented `ask_user` middleware to facilitate agent-initiated questions during research workflows.
- Created `AskUserWidget` for interactive user prompts, supporting both text and multiple choice questions.
- Enhanced `StreamEventEmitter` to handle `ask_user` interrupts and updated event handling in `stream_agent_events`.
- Added state management for pending `ask_user` events in `StreamState`.
- Developed validation for question structures and parsing for responses.
- Introduced unit tests covering middleware functionality, event handling, and widget behavior.
- Added HITL approval lifecycle to ToolCallWidget, including a new "rejected" status.
- Introduced configuration options for auto-approval and shell command allow list in EvoScientistConfig.
- Developed approval handling functions in display module to manage HITL interrupts and user decisions.
- Created ApprovalWidget for user interaction during approval prompts.
- Enhanced StreamEventEmitter to support interrupt events.
- Updated StreamState to track pending interrupts.
- Implemented tests for HITL functionality, including event structure, state handling, and approval logic.
Introduce the new channel unification architecture:
- Core framework: base channel class, bus, consumer, channel manager,
middleware, mixins, capabilities, formatter, retry, plugin system
- Telegram channel implementation with bot token validation
- Discord channel implementation with bot token validation
- Refactored iMessage to use new base channel architecture
- Updated CLI: /channel commands, serve mode, channel setup wizard
- Updated onboard wizard to support multi-channel selection
- Config settings for all channel types
- Stream events: media attachment support, done event content field
- Comprehensive test coverage for channels, bus, and manager
m4