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ci: run e2e quick-mode suite on every PR#8

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ci: run e2e quick-mode suite on every PR#8
zpzjzj wants to merge 13 commits into
mainfrom
ci/add-e2e-job

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@zpzjzj zpzjzj commented May 14, 2026

Summary

  • Add an E2E (quick) job to .github/workflows/ci.yml that runs go test -tags e2e -timeout 600s ./e2e.
  • Slow LLM-dependent cases stay gated behind SKILL_UP_FULL_E2E; the rest cover the CLI, runner, agent wiring (incl. the fake-codex workspace-diff pipeline), and contract tests.
  • No production code touched — CI surface only.

Test plan

  • go test -tags e2e -timeout 300s ./e2e locally with a clean HOME and PATH: pass.
  • GitHub Actions E2E (quick) job green on this PR.

🤖 Generated with Claude Code

zpzjzj added 7 commits May 14, 2026 17:08
Run the build-tag-gated e2e suite (./e2e with -tags e2e) on every PR.
Slow LLM-dependent tests stay gated behind SKILL_UP_FULL_E2E and are
skipped in CI; the remaining cases exercise the CLI, runner, agent
wiring, and workspace-diff pipeline against fake/local fixtures.
Previously the e2e job only ran the build-tag-gated tests with no engine
CLIs on PATH, so every claude / codex / qodercli case short-circuited
via skipIf* and the suite finished in ~3s — not actually exercising the
none-runtime pipeline.

Install the three engine CLIs explicitly on the runner so installation
checks, --version probes, and none-runtime wiring tests run against
real binaries. Tests that need a live model stay gated behind
SKILL_UP_FULL_E2E (unchanged) since CI has no secrets.
Wire DASHSCOPE_API_KEY and QODER_ACCESS_TOKEN into the e2e job so the
LLM-dependent tests (TestAgent_ClaudeCode_*, CodeStatsBenchmark, etc.)
actually run instead of skipping.

- DASHSCOPE_BASE_URL / ANTHROPIC_BASE_URL → DashScope Anthropic-compat
  endpoint, since claude-code is the engine under test for full-mode cases.
- OPENAI_BASE_URL → DashScope OpenAI-compat endpoint for codex.
- QODER_PERSONAL_ACCESS_TOKEN maps from the repo secret QODER_ACCESS_TOKEN.

Bumped the test timeout to 30m to accommodate the real-model paths.
examples/code-stats ships both eval.yaml and evals.json. Auto-detection
resolves eval.yaml first, so the previous "Auto-detected Anthropic
evals.json" assertion could only pass when evals.json was the sole eval
descriptor — which has not been true in this repo. The test was
effectively dead because SKILL_UP_FULL_E2E was never set in CI; enabling
full mode surfaced the stale assertion.
TestAgent_Codex_NoneRuntime hardcodes model gpt-5.4 in its eval.yaml.
Against the DashScope OpenAI-compat endpoint that model is unknown, so
codex retries until the case timeout and the test only "passes" because
its assertions are lenient (artifacts exist) — codex itself never
returns a real response.

The provider-env override path (lookupProviderEnv → setResolvedValue)
treats OPENAI_MODEL as authoritative when present, so setting it here
swaps the runtime model to qwen3.6-plus without touching the test.
DASHSCOPE_MODEL is added for symmetry with the dashscope-provider tests.
internal/cli/import.go pins the judge to "anthropic/claude-sonnet-4-6",
which would route to real Anthropic Claude even with the DashScope base
URL set. ANTHROPIC_MODEL takes precedence through lookupProviderEnv, so
every anthropic-provider hop in e2e now lands on qwen3.6-plus instead.

Combined with OPENAI_MODEL and DASHSCOPE_MODEL, all model-bearing paths
in the e2e suite use qwen3.6-plus.
Previously codex's runProviderConfig short-circuited on provider=="openai"
and only handed buildCodexRunCmd a bare BaseURL, which downstream
translated into "-c openai_base_url=...". Codex's bundled "openai"
model_provider config wins over that key, so the env-supplied base URL
was silently ignored and codex always dialed api.openai.com — surfacing
in CI as TestAgent_Codex_NoneRuntime hitting context deadline against
DashScope.

Treat provider=openai with a non-empty BaseURL the same way we already
treat custom providers: emit a full model_provider="openai" +
model_providers.openai.{name,base_url,env_key,wire_api} override so
codex routes traffic to the configured endpoint. When BaseURL is unset
the legacy built-in openai provider is used unchanged.
@zpzjzj zpzjzj requested review from lbfsc and lijunfeng722 May 14, 2026 10:12
zpzjzj added 6 commits May 14, 2026 18:17
…der key

The previous attempt reused the literal "openai" provider name when
emitting -c flags. Codex 0.80.x ships its own builtin openai provider
config under that key and won't reliably merge overrides onto it — it
keeps dialing api.openai.com regardless. Use a separate
"openai-override" key so codex constructs a fresh provider definition
from the -c flags alone and routes traffic to the configured BaseURL.
…t naming

- ci.yml: gate every e2e step on a "Check secret availability" probe so fork
  PRs (where secrets.DASHSCOPE_API_KEY is empty) skip cleanly without burning
  CI minutes on doomed installs. Also relax the ANTHROPIC_MODEL comment so it
  no longer name-checks a specific file path that might rot.
- codex.go: rename codexOpenAIOverrideProvider to "skill-up-openai" so the
  string that lands in real codex command lines is self-attributing.
- codex_test.go: add an integration-style assertion on buildCodexRunCmd output
  to lock in the exact -c flag set emitted for provider=openai + custom
  BaseURL (the existing BaseURL test only covered the legacy fallback path).
- cli_test.go: rename TestCLI_RunAutoWithExamples → TestCLI_RunAutoPrefersEvalYAML
  to reflect what it actually verifies; keep both eval.yaml and evals.json in
  the example fixture so each detector path stays exercised.
…unparam

golangci-lint's unparam linter flagged buildCodexRunCmd's instruction
parameter because all three existing tests pass the literal "say hi".
The freshly added skill-up-openai golden test reused the same string,
which kept the warning load-bearing. Use a different instruction so
unparam observes variance and the lint passes.
TestAgent_Codex_NoneRuntime only asserts workspace plumbing exists, so
codex failing internally (401, context deadline, model unknown) shows
up as a still-PASS test with one cryptic log line. When this happens
in CI we currently have no way to diagnose without re-running locally.

Surface the run artifacts — stdout.json, response.md, transcript,
result.json, grading.json, stderr.txt — into the test log (each capped
at 8KB) whenever codex exits non-zero. Test still passes; failure logs
now contain enough to tell apart 'codex CLI broke', 'auth rejected',
and 'upstream LLM timed out'.
…d from CI

When a real-LLM e2e test (TestAgent_Codex_NoneRuntime,
TestAgent_QoderCLI_NoneRuntime_FullRun) sees the agent return non-zero
the test still PASSes — its assertions only cover workspace plumbing,
not LLM success. We had no way to inspect the actual codex/qoder
artifacts (stdout.json, response.md, transcript, result.json) after a
flaky CI run because everything lives under t.TempDir().

Add a preserveWorkspaceArtifacts(t, workspaceDir) helper that, when
SKILL_UP_E2E_ARTIFACT_DIR is set, registers a t.Cleanup ordered before
t.TempDir's own cleanup to copy the workspace to a stable path. Hook
the two lenient real-LLM tests and have CI:

  - set SKILL_UP_E2E_ARTIFACT_DIR=$GITHUB_WORKSPACE/e2e-artifacts
  - upload-artifact@v5 the directory on always() so failing or merely
    suspicious runs surface their session output without re-running.
@jwx0925
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jwx0925 commented May 14, 2026

@codex review

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