The CI opencode server had NO LLM provider configured — the server log only
showed "listening", never a model. opencode-ai (released npm pkg) does not read
AZURE_OPENAI_* for its own LLM; it needs an explicit provider in opencode.json +
a default `model`. So send_message/multi_turn could never pass and the gate was
stuck on --only-connect-scenario (UI journey minus the model reply).
- Wire opencode to the same Azure resource the CUA driver uses via a generated
~/.config/opencode/opencode.json (@ai-sdk/azure provider, resourceName derived
from the endpoint secret at runtime, apiKey from env, default model azure/gpt-5.4).
- Add a deterministic REST probe step: create a session + send a prompt and check
for an assistant reply BEFORE the ~30min emulator run, exporting MODEL_CAPABLE.
- Add --scenarios to android-cua-smoke.py to run an explicit named set.
- Emulator step now runs connect_and_verify_sessions + send_message +
verify_session_list when MODEL_CAPABLE=true; falls back to the UI-only journey
(connect + verify_session_list) otherwise, logging the environmental reason.
- Raise --max-steps to 40 so multiple scenarios fit.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
cfb0d9fe32