Chrome headless has too many issues:
- Session creation hangs when Chrome is already running
- Cloudflare and other bot protection blocks headless browsers
- Version mismatch issues between Chrome and ChromeDriver
Safari is more reliable for web automation on macOS.
Chrome headless is still available via --chrome-headless flag.
- Add --safari flag to CLI for explicitly choosing Safari
- Update --chrome-headless flag description to indicate it's the default
- Update README to reflect Chrome headless as default
- Remove broken link to non-existent docs/webdriver-setup.md
- Add Safari flag handling in all webdriver config locations
The config already had ChromeHeadless as the default, this commit
updates the CLI and documentation to match.
Resolve two critical issues in planner mode that persisted through
multiple fix attempts:
1. Remove excessive whitespace between tool call displays by replacing
direct println!() calls with ui_writer methods and eliminating
redundant newlines in agent response streaming.
2. Ensure all log files (errors, sessions, tool calls, context dumps)
are written to <workspace>/logs instead of codepath by properly
initializing G3_WORKSPACE_PATH from --workspace argument.
Improve planner mode user experience with better error reporting,
cleaner tool output, and consistent log file placement.
- Propagate and display classified LLM errors to users with
appropriate icons and context
- Display tool calls on single lines with truncated arguments
- Show LLM text responses without overwriting via UiWriter
- Ensure all logs write to workspace/logs directory consistently
- Set G3_WORKSPACE_PATH early in planning mode initialization
Writes the current context window to logs/current_context_window (uses a symlink to a session ID).
This PR was unfortunately generated by a different LLM and did a ton of superficial reformating, it's actually a fairly small and benign change, but I don't want to roll back everything. Hope that's ok.
This tries to short-circuit multiple round-trips to llm for reading code.
It's a precursor to trying to context engineer tailored to specific tasks.
In initial experiments, it's only marginally faster than regular mode, and burns more tokens.
- Adds new --interactive-requirements CLI flag for autonomous mode
- Prompts user for brief requirements input
- Uses AI to enhance and structure requirements into proper markdown
- Shows enhanced requirements and allows user to approve/edit/cancel
- Saves to requirements.md and proceeds with autonomous mode if approved
- Includes test script for manual verification
