The adapter compared self._model to _DEFAULT_MODEL ("anthropic/claude-sonnet-4")
to decide whether to honour the constructor's model. When a caller passes
that exact value via --model, the comparison treats it as "not specified"
and falls through to RunConfig.model_name, which defaults to "gpt-4". So
every llm-connect call started with --provider openrouter --model
anthropic/claude-sonnet-4 actually landed on OpenAI's gpt-4 — and on
gpt-4 OpenAI's structured-output response_format requires a model with
schema support that gpt-4 lacks, returning 400. The CUST-WP-0045 canary
hit this for hours; the smoke probes that worked were the ones with no
json_schema, where gpt-4 returned fine.
Track _explicit_model separately so a constructor or LLMConfig that
matches the default is still treated as a real intent.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
tegwick
1b01f0edf4