Trainer Loader

Read exported conversational SFT JSONL at the boundary where a trainer would consume it. These examples validate and load message rows only; they do not start a training job.

Files

basic.py — export passing attempts, then load their messages arrays.
validate_messages.py — enforce the portable row shape and allowed roles before handing rows to any trainer-specific adapter.

When to use

Use this after _11_export_provenance/ when you need to connect the generated file to a separate training system. The loader deliberately ignores the provenance sidecar; archive it for audits while the trainer consumes the text JSONL.

For run-to-run verification before generating another dataset, continue to _13_saved_baselines/.

Run

bash

python cookbook/environments/_12_trainer_loader/basic.py
python cookbook/environments/_12_trainer_loader/validate_messages.py

Requires OPENAI_API_KEY. Every example uses gpt-5.5 through OpenAIResponses.