Pass actor= to the llm.model() and llm.models() methods

[simonw]

For accounting reasons we want to track which actor was responsible for enrichment operations.

This means we need to pass actor= to this method call:

datasette-enrichments-llm/datasette_enrichments_llm/__init__.py

Line 161 in 9ae9576

model = await llm.model(model_id, purpose=PURPOSE)

But this happens inside the enrich_batch() method which doesn't have access to the actor - it should be able to lookup an actor_id from the job_id though...

Which means we can use await datasette.actors_from_ids([actor_id])[actor_id] to get the actor.