mirror of https://github.com/openclaw/openclaw.git synced 2026-08-02 22:21:33 +00:00

Files

Peter Steinberger d16e33e08e fix: restore trustworthy end-to-end QA and cross-channel delivery (#115404 )

* fix(qa): repair verified end-to-end and channel regressions

* fix(gateway): make interrupted restart recovery lifecycle-safe

* test(heartbeat): target the canonical recovery session store

* fix(gateway): prioritize durable restart recovery before heartbeat

* fix(qa): preserve safe restart recovery and channel expiry

* fix(qa): fail closed and fence restart recovery

* test(agents): isolate restart recovery timing

* test(agents): prove actual restart retry timing

* fix(qa): report incompatible profile scenarios

* fix(scripts): resolve symlinked docker scheduler entrypoints

* fix(qa): require fresh native test evidence

* fix(heartbeat): fence active restart recovery delivery

* fix(gateway): consume untargeted restart acknowledgements

* fix(qa): satisfy exhaustive hosted validation gates

* fix(agents): fence stopped restart recovery dispatch

* style(agents): format restart recovery lifecycle regression

* test(gateway): isolate context prewarm sidecar lifecycle

* test(qa): make scenario process timeout cleanup deterministic

* fix(qa): stamp synthetic gateway configs with current version

* fix(openai): preserve vision capabilities in stale model catalogs

* test(qa): align profile channel rejection with current main

* fix(openai): forward supported moderation for image edits

* fix: restore latest-main CI and image edit documentation

* fix(qa): retain relocated code-mode evidence validation

* fix(openai): expose GPT-5.4 vision in static catalog

* fix(pricing): honor explicit model cost overrides

* test(pricing): keep isolated provider regressions deterministic

* fix(openai): inherit transport for discovered static models

* fix(gateway): honor agent-owned static image capabilities

* test(gateway): preserve prepared-snapshot attachment races

* test(gateway): isolate subagent persistence failure injection

* test(gateway): exercise concurrent voice replay admission

* fix(gateway): restore stale model image capabilities

* fix(agents): publish configured model vision capabilities

* fix(agents): isolate detached media transcript ownership

* test(agents): preserve generic transcript lock regression

* fix(gateway): require proven static model route identity

* fix(qa): accept bounded full-size generated image attachments

* fix(qa): require fresh script producer evidence

* test(qa): prove native E2E scenario execution

2026-07-29 12:45:27 -04:00

convex-credential-broker

chore(deps): refresh repository dependencies (#112453 )

2026-07-23 16:17:13 +00:00

scenarios

fix: restore trustworthy end-to-end QA and cross-channel delivery (#115404 )

2026-07-29 12:45:27 -04:00

frontier-harness-plan.md

chore: migrate active GPT-5.5 references to GPT-5.6 (#104452 )

2026-07-11 06:30:57 -07:00

maturity-scores.yaml

refactor(qa): make taxonomy coverage ids unique (#110280 )

2026-07-22 16:28:44 +09:00

README.md

Convert QA scenarios to YAML files (#92915 )

2026-06-14 17:31:18 -07:00

scenarios.md

Convert QA scenarios to YAML files (#92915 )

2026-06-14 17:31:18 -07:00

README.md

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 suite is the executable frontier subset / regression loop.
qa manual is the scoped personality and style probe after the executable subset is green.
qa coverage prints the scenario coverage inventory from scenario YAML.

Operator workflows:

Use the openclaw-qa-testing skill 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.