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Add two CLI commands to backend/cli.py entry point: - `run <question>`: executes a multi-agent task directly from the terminal by reusing the existing step_solve async pipeline. Streams SSE events and prints agent activity, tool usage, and the final result to stdout. - `config set/show/clear`: manages a persistent JSON config at ~/.eigent/cli-config.json for api-key, platform, model, api-url and email so users don't have to repeat flags on every invocation. Example usage: uv run python cli.py config set --api-key sk-... --model gpt-4o uv run python cli.py run "Summarize the latest AI news" Co-authored-by: Cursor <cursoragent@cursor.com>
…uestions - Replace Unicode symbols (✓, ▶, ✗) with ASCII equivalents for Windows GBK compatibility - Fix ImportError: remove non-existent ImprovePayload import - Handle wait_confirm event correctly: print direct answer and send stop signal instead of incorrectly sending supplement action Co-authored-by: Cursor <cursoragent@cursor.com>
When the system emits to_sub_tasks (complex task decomposed), automatically queue ActionStartData so the workforce begins execution without waiting for manual user input. Co-authored-by: Cursor <cursoragent@cursor.com>
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Testing Evidence (REQUIRED)
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Contribution Guidelines Acknowledgement
blocking_commands.log