fix(e2e): replace naive OpenAI key-presence check with live API probe in E2E suite setups #10199
Merged
hurui200320
merged 3 commits from 2026-04-17 11:16:31 +00:00
fix/ci into master
Dismiss Review
Are you sure you want to dismiss this review?
Labels
Clear labels
auto/needs-reevaluation
controller-managed
overdue
auto/blocked-by-deps
auto/ci-timeout
auto/claimed-implementer
auto/claimed-merge
auto/claimed-reviewer
auto/driver-down
auto/invariant-violation
auto/last-attempt-tier-0
auto/last-attempt-tier-1
auto/last-attempt-tier-2
auto/last-attempt-tier-min
Automation Tracking
auto/needs-conflict-resolution
auto/needs-implementer
auto/postmortem
auto/ready-to-merge
auto/restart-throttled
auto/revert
auto/sentinel
auto/stale-inactivity
auto/unstable
Blocked
Needs Feedback
Signed-off: Owner
Signed-off: Scrum Master
Signed-off: Tech Lead
Spike
Controller deferred this PR; awaiting Phase 6+ scope-evaluator or operator re-enablement.
Auto-agents controller manages this PR/issue (see tools/controller/deploy/RUNBOOK.md). Remove this label to abandon controller management.
PR blocked by an open issue dependency. Operator must close the dep (or remove the dependency link) before the merge driver can act. Auto-cleared by merge_drive when no open deps remain.
Most recent merge cycle hit CI timeout. Driver excludes this PR while last merge_cycle row is < 30 min old; label persists thereafter as visible history.
Currently being processed by an implementer worker.
Currently being processed by the merge driver.
Currently being processed by a reviewer worker.
Merge driver heartbeat stale; pipeline halted. Closed automatically on next clean tick.
Detected master commit violating the strict merge invariant. Tracked as an issue (not a PR label); kept here for label completeness.
In-cycle escalation: most recent attempt ran at the Tier 0 slot (`tier-0`). Slot's model defined in .opencode/models/tiers.yaml.
In-cycle escalation: most recent attempt ran at the Tier 1 slot (`tier-1`). Slot's model defined in .opencode/models/tiers.yaml.
In-cycle escalation: most recent attempt ran at the Tier 2 slot (`tier-2`). Slot's model defined in .opencode/models/tiers.yaml. Gated behind IMPLEMENTER_ESCALATION_TIER2_ENABLED.
In-cycle escalation: most recent attempt ran at the Tier -1 slot (`tier-min`). Slot's model defined in .opencode/models/tiers.yaml. Suffix is ``-min`` (not ``--1``) so the Forgejo UI reads naturally.
Tracking issues used by the AI Automation system for agents to communicate and report.
Rebase conflict needs LLM conflict-resolver.
Failing CI needs implementer attention.
Documenting a driver incident or rollback.
Reviewer has APPROVED this PR and no later REQUEST_CHANGES is outstanding. The merge driver requires this label to even consider a PR for merging. Set by the reviewer worker on APPROVE; cleared on REQUEST_CHANGES.
Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.
Revert PR backing out an invariant violation. Fast-tracked through the merge driver.
Sentinel PR duplicated from upstream into a personal fork by tools/duplicate_prs_to_fork.py for pipeline testing. Lives only in the fork; the canonical pipeline never sees it.
No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.
Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.
A ticket in a blocked state and unable to complete until some other task is completed first.
Bounty
$100
A bounty of $100 for any open-source contributor who provides a MR that solves this issue
Bounty
$1000
A bounty of $1000 for any open-source contributor who provides a MR that solves this issue
Bounty
$10000
A bounty of $10000 for any open-source contributor who provides a MR that solves this issue
Bounty
$20
A bounty of $20 for any open-source contributor who provides a MR that solves this issue
Bounty
$2000
A bounty of $2000 for any open-source contributor who provides a MR that solves this issue
Bounty
$250
A bounty of $250 for any open-source contributor who provides a MR that solves this issue
Bounty
$50
A bounty of $50 for any open-source contributor who provides a MR that solves this issue
Bounty
$500
A bounty of $500 for any open-source contributor who provides a MR that solves this issue
Bounty
$5000
A bounty of $5000 for any open-source contributor who provides a MR that solves this issue
Bounty
$750
A bounty of $750 for any open-source contributor who provides a MR that solves this issue
MoSCoW
Could have
Could have feature in order to satisfy the epic/legendary.
MoSCoW
Must have
Must have feature in order to satisfy the epic/legendary.
MoSCoW
Should have
Should have feature in order to satisfy the epic/legendary.
There are questions in the ticket that can not be completed until the project owner provides clarity.
Points
1
1 man-hours worth of work for an expert with no learning curve.
Points
13
13 man-hours worth of work for an expert with no learning curve.
Points
2
2 man-hours worth of work for an expert with no learning curve.
Points
21
21 man-hours worth of work for an expert with no learning curve.
Points
3
3 man-hours worth of work for an expert with no learning curve.
Points
34
34 man-hours worth of work for an expert with no learning curve.
Points
5
5 man-hours worth of work for an expert with no learning curve.
Points
55
55 man-hours worth of work for an expert with no learning curve.
Points
8
8 man-hours worth of work for an expert with no learning curve.
Points
88
88 man-hours worth of work for an expert with no learning curve.
Priority
Backlog
This ticket has backlogged priority and is not to be worked on yet
Priority
CI Blocker
Critical priority issue that blocks CI/CD pipeline and prevents PR merges
Priority
Critical
The priority is critical
Priority
High
The priority is high
Priority
Low
The priority is low
Priority
Medium
The priority is medium
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.
When an epic or legendary is in review it must be signed off by owner, tech lead, and scrum master before being marked as completed.
A ticket for learning a tool or technology that is needed to be able to do future planning and design.
State
Completed
The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.
State
Duplicate
A ticket that represents the same content as an existing ticket.
State
In Progress
A ticket that is actively being developed.
State
In Review
A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.
State
Paused
This ticket's work started but wasn't finished. It's on hold (likely in a feature branch) and will be resumed later, either due to a blocker or a delay.
State
Unverified
All new tickets start in this state. A developer may set it to show the ticket is unverified. This means we haven't agreed to work on it. It will either move to a verified state or be closed as wontdo.
State
Verified
The issue has been verified by a developer as legitimate. It will be worked on and verified tickets are now considered part of the backlog.
State
Wont Do
This ticket has been decided it wont be done. This may mean the bug has been determined to not be real (cant verify) or the feature is one we have decided we dont want to adopt.
Type
Automation
Any edits or discussion about the AI automated coding system.
Type
Bug
Something that doesnt work as intended.
Type
Discussion
Anytime a ticket represents a discussion about a subject and doesnt fall into one of the other categories.
Type
Documentation
An error or improvement needed in the documentation.
Type
Epic
Any first tier epic. That is, an epic which contains only issues as children and will not have sub-epics.
Type
Feature
Some new functionality not present.
Type
Legendary
A type of Epic which will contain other Epics.
Type
Refactor
A code change that restructures existing code without changing its external behavior.
Type
Support
Someone needs help using the project.
Type
Task
A generic task that doesnt fit into the other type categories.
Type
Testing
Work exclusively focusing on fixing or expanding testing.
Projects
Clear projects
No project
Assignees
aditya (Aditya Chhabra)
aleenaumair (Aleena Umair)
brent.edwards (Brent Edwards)
CoreRasurae (Luis Mendes)
drew (Drew Morris)
eugen.thaci (Eugen Thaci)
freemo (Jeffrey Phillips Freeman)
HAL9000 (HAL 9000)
HAL9001 (HAL9001)
hamza.khyari (Hamza Khyari)
hurui200320 (Rui Hu)
justin.morris
khird (Kyle Hird)
org.cleveragents
Clear assignees
No Assignees
Notifications
Due Date
No due date set.
Blocks
#10198 fix(e2e): replace naive OpenAI key-presence check with live API probe in E2E suite setups
cleveragents/cleveragents-core
Reference: cleveragents/cleveragents-core#10199
Reference in New Issue
Block a user
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
Delete Branch "fix/ci"
Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?
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
25e79e2331to37cf6cc6d7@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
Supervisor: Grooming | Agent: grooming-pool-supervisor
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.
Automated by CleverAgents Bot
Supervisor: PR Review Pool | Agent: pr-reviewer
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.
Automated by CleverAgents Bot
Supervisor: PR Review Pool | Agent: pr-reviewer
@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.
Automated by CleverAgents Bot
Supervisor: Human Liaison | Agent: human-liaison-pool-supervisor
@HAL9000 please review this PR
37cf6cc6d7to4a14dd3ce54a14dd3ce5tobbc47e378c@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.
Automated by CleverAgents Bot
Supervisor: Human Liaison | Agent: human-liaison-pool-supervisor
Automated by CleverAgents Bot
Agent: automation-tracking-manager
bbc47e378ctoe2b127b7e5@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.
Automated by CleverAgents Bot
Agent: automation-tracking-manager