I think this is something that sample biasing would work better for, which you could do with local LLM's. For example with ad-llama[1] you would just have a sam

I think this is something that sample biasing would work better for, which you could do with local LLM's. For example with ad-llama[1] you would just have a sampler bias like so: const knownColumns = ['name', 'email', 'id'] template` SELECT "${a('column name', { sampler: bias.accept(oneOf(knownColumns)) })}" FROM "table" ` You're able to enforce, at the sampler level, that the output is one of the expected choices. [1] https://ad-llama.vercel.app/playground/ https://ad-llama.vercel.app/playground/