- Extract `_strip_jsonc` as the single shared helper in `create_agent.py`,
replacing the three duplicate implementations in `agent_tui.py`,
`benchmark.py`, and the inline regex in `cli.py::_read_config`.
- Apply `_strip_jsonc` (including trailing-comma removal) inside
`_read_config` so JSONC config.json files are parsed correctly.
- Add `if progress is not None:` guard inside `_make_progress_cb._cb`
to prevent a `NoneType` call when running in verbose mode.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Introduced a new `ChatTextArea` class to enhance multiline chat input functionality, allowing users to submit messages with Enter and insert newlines with Shift+Enter.
- Updated the TUI layout to replace the previous input method with `ChatTextArea`, improving user experience during chat interactions.
- Removed unused sidebar actions and adjusted input row styling for better visual consistency.
These changes aim to streamline chat interactions within the CrewAI framework, providing a more intuitive input experience.
- Introduced a `verbose` flag in the CLI for the `test` and `benchmark` commands to enable detailed logging of agent execution, including tool calls and LLM responses.
- Updated the `_run_model_benchmark` and `_test_new_agents` functions to accept the `verbose` parameter, allowing for enhanced debugging during benchmark runs.
- Implemented a `verbose_benchmark_output` context manager to manage logging output when verbose mode is enabled, improving the visibility of agent interactions.
These changes enhance the debugging capabilities of the CrewAI framework, providing users with more insights during testing and benchmarking processes.
- cli.py: use s.get('done',0)+1 instead of max(s['done'], event['case_index']) for correct progress counting
- cli.py: use explicit 'is not None' check for config_threshold to avoid treating 0.0 as falsy
- cli.py: remove unused agent_count variable
- constants.py + create_agent.py: add key_name to ollama ENV_VARS entry so API_BASE is correctly saved to OPENAI_API_BASE
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Rename suppress_benchmark_output → SuppressBenchmarkOutput and
artifacts_sandbox → ArtifactsSandbox (N801 CapWords), and drop unused
loop variable to use dict.values() (PERF102).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- B904: raise KeyboardInterrupt from err in cli_provider.py
- mypy: add TYPE_CHECKING import for SQLiteConversationStorage, annotate
_initialized class var in TaskScheduler, fix Match type params and
Returning Any in create_agent.py
- tests: mock aget_llm_response in 3 integration tests that fail when
network is blocked but OPENAI_API_KEY is set
- flow.py: use asyncio.run_coroutine_threadsafe() instead of asyncio.run()
when a loop is already running in ask() and say()
- cli.py: fix threshold=0.0 treated as falsy by using `is not None` check
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Added a `CreateRoomScreen` modal for creating new rooms with agent selection and engagement options.
- Updated the main TUI layout to include a sidebar for room management, allowing users to create and switch between rooms.
- Enhanced the configuration handling to support room definitions and engagement modes.
- Refactored existing code to accommodate new room functionalities and improve overall structure.
These changes enhance the user experience by enabling better organization and interaction with multiple agents in the CrewAI framework.
- Introduced a new `LoadedCases` class to encapsulate benchmark cases and optional thresholds, improving data management.
- Updated `load_benchmark_cases` function to support loading cases from both bare arrays and object wrappers with a threshold.
- Modified CLI options to allow dynamic threshold configuration, defaulting to a value from `config.json` if not specified.
- Enhanced error handling for invalid benchmark case formats and added tests to validate new functionality.
These changes aim to improve the flexibility and usability of benchmark case management within the CrewAI framework.
- Added functionality to load environment variables from a `.env` file if it exists, improving configuration management.
- Updated the CLI to fallback to a `benchmarks` directory for test cases if the `tests` directory is not found, ensuring compatibility with previous project structures.
- Refactored benchmark case path handling to streamline testing processes.
These changes aim to improve the usability and flexibility of the CrewAI CLI in various project setups.
- Added a `_safe_render` function to escape Rich markup and convert markdown to Rich format.
- Implemented token-by-token streaming for agent responses in the TUI, improving user experience during interactions.
- Updated the CLI to allow selection of LLM providers and models, enhancing flexibility in agent creation.
- Refactored benchmark case paths to use a `tests` directory instead of `benchmarks`.
- Introduced a `last_stream_result` property in the `NewAgent` class to retrieve the latest streaming response.
These changes aim to provide a more interactive and user-friendly experience in managing agents within the CrewAI framework.
- Introduced a new `create_agent` command for interactive agent definition.
- Added `agent_tui.py` for a conversational TUI supporting multi-agent interactions.
- Updated CLI to support agent creation and training workflows.
- Enhanced `.gitignore` to exclude demo files and configuration artifacts.
- Implemented a benchmark runner for testing agent performance against defined cases.
This commit lays the groundwork for a more interactive and user-friendly experience in managing agents within the CrewAI framework.
