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So you can turn off display reasoning and compatible plugins can then
opt not to request reasoning summaries from their models, even as
they do actually run reasoning.
Add a display_stream_events() helper (plus async twin) that writes
text events to stdout and reasoning events to stderr in dim style,
with a newline inserted at reasoning→text transitions so the
assistant's final answer starts on a fresh visual line.
Add -R / --no-reasoning flag to both `llm prompt` and `llm chat` to
suppress the stderr reasoning stream. The sync and async streaming
paths in `llm prompt` and the streaming path in `llm chat` now
consume response.stream_events() / astream_events() through the
helper instead of plain iteration.
Conftest: MockModel and AsyncMockModel now set can_stream = True so
CLI tests exercising event-level behavior actually take the
streaming branch. This matches the fixtures' practical behavior —
they yield chunks, one at a time.
With only the built-in OpenAI plugin upgraded (Phase 4), no model
currently streams live reasoning text (OpenAI's reasoning is
redacted — just a token count). The machinery is ready for
llm-anthropic / llm-gemini upgrades to light up the experience.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Simon Willison