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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.
Each row stores only its current-turn inputs, so a loaded tool-result
response began with an orphan tool_result. `llm -c` then sent a request
with an unexpected tool_use_id. Stitch each response's messages onto the
previous response's chain plus its assistant output during load.
Closes#1426
Refs https://github.com/simonw/llm-anthropic/issues/68
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Providers (e.g. Gemini) often emit thought text with trailing newlines.
Concatenated and combined with click.echo's own newline, that produced
several blank lines before the `## Response` heading. rstrip() at render
time tightens the gap to a single blank line; the stored reasoning column
keeps the provider's text verbatim.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Adds a `reasoning` column to the responses table (migration m022)
populated from concatenated visible-reasoning text in the assembled
message. `llm logs --md` renders it under a `## Reasoning` heading
above the response when present.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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>
Closes#1014
- llm.ToolOutput(output='...', attachments=[...]) for tools to return attachments
- New table: `tool_results_attachments`
- Table is populated when tools return attachments
- llm --tools-debug shows attachments returned by tools
- llm logs shows attachments returned by tools
* add vscode and uv artifacts to gitignore
* !fragment feature
* Update fragment command to accept multiple fragments
* Add support for multiple fragments in !fragment command, factor out fragment processing
* Add support for fragment/system fragment arguments in chat command
* update docs
---------
Co-authored-by: Simon Willison <swillison@gmail.com>
Simon Willison