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* fix(inference): harden Codex turns, streams, and live QA * fix(inference): dispatch open CR-delimited response frames * fix(inference): finish live goal and split streaming regressions * fix(codex): wait for interrupted turn completion * fix(codex): narrow terminal collector notification ownership * fix(inference): harden completion authority and lifecycle * fix(inference): use canonical source delivery contract * test(inference): align lifecycle probes with current main * style(inference): format source delivery verification * fix(goals): prevent premature completion across staged work * fix(qa): settle streamed goal turns before continuation * fix(goals): require visible replies after goal completion * test(qa): keep goal flow regressions within lint limits
QA Scenarios
Seed QA assets for the private qa-lab extension.
Files:
scenarios/index.yaml- canonical QA scenario pack, kickoff mission, and operator identity.scenarios/<theme>/*.yaml- one runnable scenario per YAML file.frontier-harness-plan.md- big-model bakeoff and tuning loop for harness work.convex-credential-broker/- standalone Convex v1 lease broker for pooled live credentials.
Key workflow:
qa suiteis the executable frontier subset / regression loop.qa manualis the scoped personality and style probe after the executable subset is green.qa coverageprints the scenario coverage inventory from scenario YAML.
Operator workflows:
- Use the
openclaw-qa-testingskill for QA Lab live lanes, Convex credential pool operations, and WhatsApp live credential setup/replacement.
Keep this folder in git. Add new scenarios here before wiring them into automation.