fix(e2e): replace naive OpenAI key-presence check with live API probe in E2E suite setups #10199
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#10198 fix(e2e): replace naive OpenAI key-presence check with live API probe in E2E suite setups
cleveragents/cleveragents-core
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Summary
Fixes #10198
E2E suite setups were selecting the OpenAI actor by checking only whether
OPENAI_API_KEYwas present (non-empty). A key that exists but has hit its quota limit passes that check, then fails mid-test with HTTP 429 — even though Anthropic credits are available. This PR fixes the actor selection at the test-harness level by probing the key with a real (cheap) API call before committing to it.This branch also reverts two commits from Luis (
369b308e,e381bd79) that attempted to handle quota errors insidestrategy_actor.pyat runtime — an approach the team agreed was the wrong layer for this fix.Changes
robot/e2e/check_openai_key.py(new)A self-contained stdlib-only probe script (
urllib.request, no third-party deps) that sends a minimal chat-completion request to OpenAI (gpt-4o-mini,"Hi",max_tokens=1, 15 s timeout):robot/e2e/common_e2e.resource— new keywordResolve LLM ActorCentralises actor selection in one place. Accepts
${openai_model}(defaultopenai/gpt-4o) and${anthropic_model}(defaultanthropic/claude-sonnet-4-20250514) arguments. Short-circuits to Anthropic if the key is absent; otherwise runs the probe and logs aWARNwith the reason before falling back.Five E2E suite setups updated
m6_acceptance.robot,wf04_multi_project.robot,wf05_db_migration.robot,wf07_cicd.robot, andwf16_devcontainer.robotall replace their inlinehas_openaiboolean block with a singleResolve LLM Actorcall.wf16passesopenai_model=openai/gpt-4o-minito preserve its cost-optimisation choice.Not touched:
wf17,wf18(already prefer Anthropic as primary),m5_acceptance.robot(deliberately OpenAI-only), and allsrc/production code.Test plan
25e79e233137cf6cc6d7@HAL9000 Please review this PR since it contains fix for the current CI. And merge it asap. Thanks
[GROOMED] [AUTO-GROOM-10199] Quality analysis complete.
Checks Performed
Fixes #10198State/In Review,Type/Bug,Priority/CI BlockerState/In Review— appropriatev3.5.0on both PR and linked issuePriority/CI BlockerandType/Bugmatch issue #10198; milestonev3.5.0matchesFixes #10198in PR bodyState/In Progress→ updated toState/In ReviewFixes Applied
State/In Progress(ID 843), appliedState/In Review(ID 844) — the issue now correctly reflects that an open PR is under review.Review Status
No formal reviews have been submitted on this PR. The PR is open and mergeable.
Notes
Needs Feedbacklabel — this may indicate outstanding questions from the project owner. This was not removed as it may be intentional.Automated by CleverAgents Bot
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Code Review: REQUEST CHANGES
Review focus: error-handling-patterns, edge-cases, boundary-conditions
The implementation is well-structured and the core approach is sound — moving the OpenAI key validation to the test-harness layer (before test execution) is the correct architectural decision. CI is passing. However, two blocking process issues must be resolved before merge.
❌ Blocking Issues
1. Milestone Mismatch
The PR is assigned to milestone v3.5.0 but the linked issue #10198 is assigned to v3.2.0. Per contribution requirements, the PR milestone must match the linked issue milestone. Please align them — either update the issue to v3.5.0 or the PR to v3.2.0, whichever reflects the correct target release.
2. CONTRIBUTORS.md Not Updated
CONTRIBUTORS.mdis not in the changed files list. Per the contribution checklist,CONTRIBUTORS.mdmust be updated in the same commit when contributing changes. Please add your entry if not already present.✅ Passing Checks
Fixes #10198)Type/labelType/Bugfix(e2e): ...type: ignoresuppressions🔍 Error-Handling Review (Special Focus)
The error-handling in
check_openai_key.pyis generally well-designed. A few observations:contextlib.suppress(Exception)(line ~72):The broad
suppress(Exception)is acceptable here — the body is supplementary diagnostic text and the primary error (HTTP code) is still returned. However, a narrower catch (OSError,UnicodeDecodeError) would be more precise. Non-blocking — acceptable in context.Exception ordering —
HTTPErroris caught beforeURLError(correct, sinceHTTPErroris a subclass ofURLError). ✅TimeoutErrorhandling —socket.timeoutis a subclass ofTimeoutErrorin Python 3.3+, so this catch is correct. ✅Resolve LLM Actortimeout —timeout=30swithon_timeout=killcorrectly handles a hung probe script. ✅Empty stdout edge case — If
${result.stdout}is empty (e.g., script killed on timeout), the log message reads"OpenAI key probe failed: — falling back to ..."with a blank reason. Non-blocking — cosmetic only; fallback still works correctly.${PYTHON}variable dependency —Resolve LLM Actordepends on${PYTHON}being set byE2E Suite Setup. All callers appear to invoke this after suite setup, so this is safe. ✅Summary
The implementation is correct and the error-handling is solid. Please resolve the two blocking issues (milestone alignment + CONTRIBUTORS.md) and this PR will be ready to merge.
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Code Review Decision: REQUEST CHANGES
Two blocking issues must be resolved before this PR can be merged:
v3.5.0but linked issue #10198 is onv3.2.0. These must be aligned.The implementation itself is correct and well-designed. Error-handling in
check_openai_key.pyis solid (correct exception ordering, timeout handling, graceful fallback). CI is passing. Once the two process issues above are addressed, this PR is ready to merge.See the formal review above for the full checklist and detailed error-handling analysis.
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@HAL9000 Milestone updated, and I am already in the contributor file, at line 9:
* Rui Hu <rui.hu@cleverthis.com>The request change should be resolved and this PR should be approved.
CC @HAL9001
@hurui200320 — Thank you for the prompt response and for addressing the review feedback.
Your clarification is noted:
* Rui Hu <rui.hu@cleverthis.com>is present at line 9. This resolves the CONTRIBUTORS.md blocker.Both blocking issues from Review #6069 have been addressed. The automated review system (HAL9001) has been CC'd and will re-evaluate the PR. Given that CI is passing and the implementation has been confirmed as correct and well-designed, this PR should be ready for approval once the re-review confirms the milestone alignment.
Thank you for the high-quality fix to the CI blocker. The stdlib-only probe approach is the right solution.
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@HAL9000 please review this PR
37cf6cc6d74a14dd3ce54a14dd3ce5bbc47e378c@hurui200320 — Your request has been noted.
The PR is currently in the review queue. The automated reviewer (HAL9001) will re-evaluate the PR following your response at 07:24Z where you addressed both blocking issues from Review #6069 (milestone alignment and CONTRIBUTORS.md confirmation).
Given that:
The re-review should result in approval. The automated review system operates on a scheduled cycle and will process this PR shortly.
Thank you for your patience and for the high-quality CI fix.
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bbc47e378ce2b127b7e5@hurui200320 — Thank you for pushing the updated commit.
The new commit (
bbc47e378c1ee097a739dcbd61286d5c9b30be06) has been detected. The PR now shows:The automated review system (HAL9001) will re-evaluate the PR against the new commit. Given that the two blocking issues from Review #6069 (milestone alignment and CONTRIBUTORS.md) appear to have been addressed, the re-review should result in approval.
CI will run against the new commit. Please monitor CI results and address any failures if they arise.
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