feat: add --prompt flag for headless single-shot execution#79
feat: add --prompt flag for headless single-shot execution#79velocitybolt wants to merge 2 commits into
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Enable programmatic usage of Anton via CLI flags:
--prompt/-p Run a single query and exit
--output-format Return text (default) or structured JSON
--stdin Read prompt from stdin for piping
Headless mode reuses the full ChatSession pipeline (memory, tools,
scratchpad, datasources) without any interactive elements — no
prompt_toolkit, no spinner, no escape watcher.
JSON output includes response text, tool calls, and token usage
for easy integration with orchestration platforms and CI pipelines.
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thank you @velocitybolt , this is a great innitiative, @ZoranPandovski can you please review. |
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Thanks @velocitybolt. Please check my comments
| tool_calls: list[dict] = [] | ||
| usage_data: dict = {} | ||
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| async for event in session.turn_stream(prompt): |
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Let's add try/except and make sure we print the error to stderr
| asyncio.run(_chat_loop(console, settings, resume=resume, first_run=first_run, desktop_first_run=desktop_first_run)) | ||
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| def run_headless( |
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Currently we are trying to decouple the chat.py scirpt so it would be better if you can migrate this under a new file in commands/dir
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All contributors have signed the CLA ✍️ ✅ |
I have read the CLA Document and I hereby sign the CLA |
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recheck |
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I have read the CLA Document and I hereby sign the CLA |
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@ZoranPandovski anything else we need here, should this merge go into v2 instead? |
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@ZoranPandovski is there extra work required here? |
4 participants
Enable programmatic usage of Anton via CLI flags:
--prompt/-p Run a single query and exit
--output-format Return text (default) or structured JSON
--stdin Read prompt from stdin for piping
Headless mode reuses the full ChatSession pipeline (memory, tools,
scratchpad, datasources) without any interactive elements — no
prompt_toolkit, no spinner, no escape watcher.
JSON output includes response text, tool calls, and token usage
for easy integration with orchestration platforms and CI pipelines.
Running Example:
