I came up with an alternative syntax which feels quite good. Here's a description from draft documentation:

Alternative schema syntax

JSON schema's can be time-consuming to construct by hand. LLM also supports a concise alternative syntax for specifying a schema.

A simple schema for an object with two string properties called name and bio looks like this:
name, bio
You can include type information by adding a type indicator after the property name, separated by a space.
name, bio, age int
Supported types are int for integers, float for floating point numbers, str for strings (the default) and bool for true/false booleans.

To include a description of the field to act as a hint to the model, add one after a colon:
name: the person's name, age int: their age, bio: a short bio
If your schema is getting long you can switch from comma-separated to newline-separated, which also allows you to use commas in those descriptions:
name: the person's name
age int: their age
bio: a short bio, no more than three sentences
This format is supported by the --schema option. The format will be detected any time you provide a string with at least one space that doesn't start with a { (indicating JSON):
llm --schema 'name,description,fave_toy' 'invent a dog'
To return multiple items matching your schema, use the --schema-multi option. This is equivalent to using --schema with a JSON schema that specifies an items key containing multiple objects.
llm --schema-multi 'name,description,fave_toy' 'invent 3 dogs'
The Python utility function llm.utils.build_json_schema(schema) can be used to convert this syntax into the equivalent JSON schema dictionary.

Uh oh!

Implement a concise schema DSL alternative to JSON schema #790

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