* 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>
* 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>
* WIP fragments: schema plus reading but not yet writing, refs #617
* Unique index on fragments.alias, refs #617
* Fragments are now persisted, added basic CLI commands
* Fragment aliases work now, refs #617
* Improved help for -f/--fragment
* Support fragment hash as well
* Documentation for fragments
* Better non-JSON display of llm fragments list
* llm fragments -q search option
* _truncate_string is now truncate_string
* Use condense_json to avoid duplicate data in JSON in DB, refs #617
* Follow up to 3 redirects for fragments
* Python API docs for fragments= and system_fragments=
* Fragment aliases cannot contain a : - this is to ensure we can add custom fragment loaders later on, refs https://github.com/simonw/llm/pull/859#issuecomment-2761534692
* Use template fragments when running prompts
* llm fragments show command plus llm fragments group tests
* Tests for fragments family of commands
* Test for --save with fragments
* Add fragments tables to docs/logging.md
* Slightly better llm fragments --help
* Handle fragments in past conversations correctly
* Hint at llm prompt --help in llm --help, closes#868
* llm logs -f filter plus show fragments in llm logs --json
* Include prompt and system fragments in llm logs -s
* llm logs markdown fragment output and tests, refs #617
* Don't hang on stdin if llm -t template-with-schema
* Docs on using schemas with templates
* Schema in template YAML file example
* Test for --save with --schema
Refs #778
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
