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
* Sync models can now call async tools, refs #987
* Test for async tool functions in sync context, refs #987
* Test for asyncio tools, plus test that they run in parallel
* Docs for async tool usage
* llm/default_plugins: add o3 model
This is the newest model released by OpenAI and is available through
the API.
* Ran cog
---------
Co-authored-by: Simon Willison <swillison@gmail.com>
Recently support for structured output was added. But custom
OpenAI-compatible models didn't support the `supports_schema` property
in the config file `extra-openai-models.yaml`.
* Allow "reasoning" for extra-openai-models.yaml
Currently you get an error when trying to use `-o reasoning_effort high` with a model that has been defined in `extra-openai-models.yaml`.
This allows a `reasoning` field.
* Mention reasoning: true in other OpenAI models docs
---------
Co-authored-by: Simon Willison <swillison@gmail.com>
Refs #776
* Implemented new llm prompt --schema and model.prompt(schema=)
* Log schema to responses.schema_id and schemas table
* Include schema in llm logs Markdown output
* Test for schema=pydantic_model
* Initial --schema CLI documentation
* Python docs for schema=
* Advanced plugin docs on schemas
* New KeyModel and AsyncKeyModel classes for models that taken keys - closes#744
* llm prompt --key now uses new mechanism, including for async
* use new key mechanism in llm chat command
* Python API tests for llm.KeyModel and llm.AsyncKeyModel
* Python API docs for for prompt(... key="")
* Mention await model.prompt() takes other parameters, reorg sections
* Better title for the model tutorial
* Docs on writing model plugins that take a key
- https://github.com/simonw/llm/issues/507#issuecomment-2458639308
* register_model is now async aware
Refs https://github.com/simonw/llm/issues/507#issuecomment-2458658134
* Refactor Chat and AsyncChat to use _Shared base class
Refs https://github.com/simonw/llm/issues/507#issuecomment-2458692338
* fixed function name
* Fix for infinite loop
* Applied Black
* Ran cog
* Applied Black
* Add Response.from_row() classmethod back again
It does not matter that this is a blocking call, since it is a classmethod
* Made mypy happy with llm/models.py
* mypy fixes for openai_models.py
I am unhappy with this, had to duplicate some code.
* First test for AsyncModel
* Still have not quite got this working
* Fix for not loading plugins during tests, refs #626
* audio/wav not audio/wave, refs #603
* Black and mypy and ruff all happy
* Refactor to avoid generics
* Removed obsolete response() method
* Support text = await async_mock_model.prompt("hello")
* Initial docs for llm.get_async_model() and await model.prompt()
Refs #507
* Initial async model plugin creation docs
* duration_ms ANY to pass test
* llm models --async option
Refs https://github.com/simonw/llm/pull/613#issuecomment-2474724406
* Removed obsolete TypeVars
* Expanded register_models() docs for async
* await model.prompt() now returns AsyncResponse
Refs https://github.com/simonw/llm/pull/613#issuecomment-2475157822
---------
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Simon Willison