* Add type annotations for OpenAI Chat/AsyncChat/Completion execute methods
* Add type hint for OpenAI _Shared class
* cast(Response) to make mypy happy
Co-authored-by: Simon Willison <swillison@gmail.com>
* Recorded instance of streaming tool response variant "a".
This is the typical response, where "arguments":"" arrives
first in the stream, followed by "arguments":"{}"
The response data is a real capture from the OpenRouter API,
however some request and header data may be from other test fixtures.
* Recorded instance of streaming tool response variant "b".
This is a streaming response where the first arguments
you get is a fully formed "arguments":"{}"
The response data is a real capture from the OpenRouter API,
however some request and header data may be from other test fixtures.
* Test cases for streaming tool responses.
Note that the replays are marked as "read-only", as they are variants
seen in the wild where the streaming tool call argument fragments
arrive in a specific order.
* Fix streaming tool response variant "b", where "arguments":"{}" is what arrives first.
The previous code erroneously caused the first "arguments" to be duplicated,
by using "+=" even when being initially set.
This went unnoticed as many models stream "arguments":"" first.
When a more fully formed "arguments" fragment arrived first, it was causing
"Error: Extra data: line 1 column 3 (char 2)"
* Recorded instance of streaming tool response variant "c".
This was failing with "Error: unsupported operand type(s) for +=: 'NoneType' and 'str'"
The response data is a real capture from the OpenRouter API,
however some request and header data may be from other test fixtures.
* Test case for streaming tool response variant "c".
* Fix streaming tool response variant "c".
However, I'm not sure why arguments was initially not present or seen as None.
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
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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
Simon Willison