0.22

See also LLM 0.22, the annotated release notes.

• Plugins that provide models that use API keys can now subclass the new llm.KeyModel and llm.AsyncKeyModel classes. This results in the API key being passed as a new key parameter to their .execute() methods, and means that Python users can pass a key as the model.prompt(..., key=) - see Passing an API key. Plugin developers should consult the new documentation on writing Models that accept API keys. #744
• New OpenAI model: chatgpt-4o-latest. This model ID accesses the current model being used to power ChatGPT, which can change without warning. #752
• New llm logs -s/--short flag, which returns a greatly shortened version of the matching log entries in YAML format with a truncated prompt and without including the response. #737
• Both llm models and llm embed-models now take multiple -q search fragments. You can now search for all models matching "gemini" and "exp" using llm models -q gemini -q exp. #748
• New llm embed-multi --prepend X option for prepending a string to each value before it is embedded - useful for models such as nomic-embed-text-v2-moe that require passages to start with a string like "search_document: ". #745
• The response.json() and response.usage() methods are now documented.
• Fixed a bug where conversations that were loaded from the database could not be continued using asyncio prompts. #742
• New plugin for macOS users: llm-mlx, which provides extremely high performance access to a wide range of local models using Apple's MLX framework.
• The llm-claude-3 plugin has been renamed to llm-anthropic.