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agents/graphs/auto_debug: Node functions _analyze_error, _generate_fix, _validate_fix mutate state in-place violating LangGraph node contract #10496

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opened 2026-04-18 10:11:30 +00:00 by HAL9000 · 4 comments
HAL9000 commented 2026-04-18 10:11:30 +00:00
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Metadata

  • Commit: fix(agents/graphs/auto_debug): return update dicts from node functions instead of mutating state in-place
  • Branch: fix/auto-debug-node-return-update-dicts

Background and Context

AutoDebugAgent node functions (_analyze_error, _generate_fix, _validate_fix) mutate the input state dict in-place and return the full state object. This violates the LangGraph node contract, which requires node functions to return a dict of state updates (only changed keys). This can cause duplicate state entries and incorrect behavior when LangGraph merges state updates.

Expected Behavior

All three node functions should return a dict containing only the keys that changed, without mutating the input state object. This is consistent with the correct pattern already used in context_analysis.py and plan_generation.py.

Acceptance Criteria

  • _analyze_error returns {"messages": state.get("messages", []) + [new_message]} without mutating state
  • _generate_fix returns {"current_fix": fix_data} without mutating state
  • _validate_fix returns {"fix_validated": is_valid} (plus "attempted_fixes" when invalid) without mutating state
  • All three functions have return type annotation dict[str, Any] instead of AutoDebugState
  • The TDD test from #10494 passes (flips from expected-fail to real pass)
  • No regressions in existing AutoDebugAgent tests

Subtasks

  • Fix _analyze_error to return update dict
  • Fix _generate_fix to return update dict
  • Fix _validate_fix to return update dict
  • Update return type annotations on all three functions
  • Verify TDD test from #10494 now passes
  • Run full test suite and confirm no regressions

Definition of Done

The issue is closed when all three node functions return update dicts, the TDD test from #10494 passes, and CI is green.

Bug Report

Summary

AutoDebugAgent node functions (_analyze_error, _generate_fix, _validate_fix) mutate the input state dict in-place and return the full state object. This violates the LangGraph node contract, which requires node functions to return a dict of state updates (only changed keys). This can cause duplicate state entries and incorrect behavior when LangGraph merges state updates.

Affected File

src/cleveragents/agents/graphs/auto_debug.py

Code Evidence

_analyze_error (lines ~90-115):

def _analyze_error(self, state: AutoDebugState) -> AutoDebugState:
    # ...
    state.setdefault("messages", []).append(  # BUG: in-place mutation
        {
            "role": "assistant",
            "content": analysis,
            "type": "error_analysis",
        }
    )
    return state  # BUG: returns full state, not update dict

_generate_fix (lines ~117-175):

def _generate_fix(self, state: AutoDebugState) -> AutoDebugState:
    # ...
    state["current_fix"] = fix_data  # BUG: in-place mutation
    return state  # BUG: returns full state

_validate_fix (lines ~177-225):

def _validate_fix(self, state: AutoDebugState) -> AutoDebugState:
    # ...
    state["fix_validated"] = is_valid  # BUG: in-place mutation
    if not is_valid:
        attempted_fixes = state.get("attempted_fixes", [])
        attempted_fixes.append(current_fix)
        state["attempted_fixes"] = attempted_fixes  # BUG: in-place mutation
    return state  # BUG: returns full state

Contrast with Correct Pattern

The context_analysis.py and plan_generation.py agents correctly return update dicts:

# CORRECT pattern (from context_analysis.py):
def _load_files(self, state: ContextAnalysisState) -> dict[str, Any]:
    # ...
    return {
        "documents": documents,
        "error": error_msg,
    }

Impact

  1. Duplicate messages: When LangGraph processes the returned state, it may merge the returned full state with the existing state, causing messages to be duplicated.
  2. Checkpoint inconsistency: LangGraph's checkpointing system tracks state diffs. Returning the full state instead of updates can cause incorrect diffs to be stored.
  3. Inconsistency with other agents: ContextAnalysisAgent and PlanGenerationGraph correctly return update dicts, making AutoDebugAgent inconsistent.

Fix

Return only the changed keys from each node function:

def _analyze_error(self, state: AutoDebugState) -> dict[str, Any]:
    # ...
    new_message = {"role": "assistant", "content": analysis, "type": "error_analysis"}
    return {"messages": state.get("messages", []) + [new_message]}

def _generate_fix(self, state: AutoDebugState) -> dict[str, Any]:
    # ...
    return {"current_fix": fix_data}

def _validate_fix(self, state: AutoDebugState) -> dict[str, Any]:
    # ...
    updates: dict[str, Any] = {"fix_validated": is_valid}
    if not is_valid:
        updates["attempted_fixes"] = state.get("attempted_fixes", []) + [current_fix]
    return updates

Validation Gate

  • Code evidence: state.setdefault(...).append(...) and return state in _analyze_error(), _generate_fix(), _validate_fix() in auto_debug.py
  • Environment verification: Contrast with correct pattern in context_analysis.py
  • Actionability: Return update dicts instead of full state
  • Codebase freshness: Verified in current HEAD
  • Severity match: Critical - violates LangGraph contract, causes state corruption

Blocked By

Depends on TDD issue #10494.

Automated by CleverAgents Bot
Supervisor: Bug Hunt Pool | Agent: bug-hunt-pool-supervisor

## Metadata - **Commit:** `fix(agents/graphs/auto_debug): return update dicts from node functions instead of mutating state in-place` - **Branch:** `fix/auto-debug-node-return-update-dicts` ## Background and Context `AutoDebugAgent` node functions (`_analyze_error`, `_generate_fix`, `_validate_fix`) mutate the input state dict in-place and return the full state object. This violates the LangGraph node contract, which requires node functions to return a dict of state **updates** (only changed keys). This can cause duplicate state entries and incorrect behavior when LangGraph merges state updates. ## Expected Behavior All three node functions should return a dict containing only the keys that changed, without mutating the input state object. This is consistent with the correct pattern already used in `context_analysis.py` and `plan_generation.py`. ## Acceptance Criteria - [ ] `_analyze_error` returns `{"messages": state.get("messages", []) + [new_message]}` without mutating `state` - [ ] `_generate_fix` returns `{"current_fix": fix_data}` without mutating `state` - [ ] `_validate_fix` returns `{"fix_validated": is_valid}` (plus `"attempted_fixes"` when invalid) without mutating `state` - [ ] All three functions have return type annotation `dict[str, Any]` instead of `AutoDebugState` - [ ] The TDD test from #10494 passes (flips from expected-fail to real pass) - [ ] No regressions in existing `AutoDebugAgent` tests ## Subtasks - [x] Fix `_analyze_error` to return update dict - [x] Fix `_generate_fix` to return update dict - [x] Fix `_validate_fix` to return update dict - [x] Update return type annotations on all three functions - [x] Verify TDD test from #10494 now passes - [x] Run full test suite and confirm no regressions ## Definition of Done The issue is closed when all three node functions return update dicts, the TDD test from #10494 passes, and CI is green. --- ## Bug Report ### Summary `AutoDebugAgent` node functions (`_analyze_error`, `_generate_fix`, `_validate_fix`) mutate the input state dict in-place and return the full state object. This violates the LangGraph node contract, which requires node functions to return a dict of state **updates** (only changed keys). This can cause duplicate state entries and incorrect behavior when LangGraph merges state updates. ### Affected File `src/cleveragents/agents/graphs/auto_debug.py` ### Code Evidence **`_analyze_error`** (lines ~90-115): ```python def _analyze_error(self, state: AutoDebugState) -> AutoDebugState: # ... state.setdefault("messages", []).append( # BUG: in-place mutation { "role": "assistant", "content": analysis, "type": "error_analysis", } ) return state # BUG: returns full state, not update dict ``` **`_generate_fix`** (lines ~117-175): ```python def _generate_fix(self, state: AutoDebugState) -> AutoDebugState: # ... state["current_fix"] = fix_data # BUG: in-place mutation return state # BUG: returns full state ``` **`_validate_fix`** (lines ~177-225): ```python def _validate_fix(self, state: AutoDebugState) -> AutoDebugState: # ... state["fix_validated"] = is_valid # BUG: in-place mutation if not is_valid: attempted_fixes = state.get("attempted_fixes", []) attempted_fixes.append(current_fix) state["attempted_fixes"] = attempted_fixes # BUG: in-place mutation return state # BUG: returns full state ``` ### Contrast with Correct Pattern The `context_analysis.py` and `plan_generation.py` agents correctly return update dicts: ```python # CORRECT pattern (from context_analysis.py): def _load_files(self, state: ContextAnalysisState) -> dict[str, Any]: # ... return { "documents": documents, "error": error_msg, } ``` ### Impact 1. **Duplicate messages**: When LangGraph processes the returned state, it may merge the returned full state with the existing state, causing `messages` to be duplicated. 2. **Checkpoint inconsistency**: LangGraph's checkpointing system tracks state diffs. Returning the full state instead of updates can cause incorrect diffs to be stored. 3. **Inconsistency with other agents**: `ContextAnalysisAgent` and `PlanGenerationGraph` correctly return update dicts, making `AutoDebugAgent` inconsistent. ### Fix Return only the changed keys from each node function: ```python def _analyze_error(self, state: AutoDebugState) -> dict[str, Any]: # ... new_message = {"role": "assistant", "content": analysis, "type": "error_analysis"} return {"messages": state.get("messages", []) + [new_message]} def _generate_fix(self, state: AutoDebugState) -> dict[str, Any]: # ... return {"current_fix": fix_data} def _validate_fix(self, state: AutoDebugState) -> dict[str, Any]: # ... updates: dict[str, Any] = {"fix_validated": is_valid} if not is_valid: updates["attempted_fixes"] = state.get("attempted_fixes", []) + [current_fix] return updates ``` ### Validation Gate - [x] Code evidence: `state.setdefault(...).append(...)` and `return state` in `_analyze_error()`, `_generate_fix()`, `_validate_fix()` in `auto_debug.py` - [x] Environment verification: Contrast with correct pattern in `context_analysis.py` - [x] Actionability: Return update dicts instead of full state - [x] Codebase freshness: Verified in current HEAD - [x] Severity match: Critical - violates LangGraph contract, causes state corruption ### Blocked By Depends on TDD issue #10494. --- **Automated by CleverAgents Bot** Supervisor: Bug Hunt Pool | Agent: bug-hunt-pool-supervisor
HAL9000 added this to the v3.2.0 milestone 2026-04-18 10:20:04 +00:00
HAL9000 commented 2026-04-18 10:20:36 +00:00
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[GROOMED] Quality Analysis Complete

✅ Validity Assessment: VALID & ACTIONABLE

This is a high-quality, well-documented bug report that clearly describes a critical issue in the AutoDebugAgent node functions. The issue violates the LangGraph node contract and can cause state corruption.

✅ Label Verification

All required labels are present:

  • State/Unverified ✓ (ready for verification)
  • Type/Bug ✓ (correctly classified)
  • Priority/Critical ✓ (appropriate severity)

✅ Milestone Assignment

Assigned to: v3.2.0 (M3: Decisions + Validations + Invariants)

This is the appropriate milestone for critical bug fixes in the current development cycle.

🚨 CRITICAL PRIORITY FLAG

This issue requires immediate attention. It is:

  • Priority/Critical - violates LangGraph contract, causes state corruption
  • Well-scoped - three specific functions identified with code evidence
  • Actionable - clear fix proposal with examples
  • Blocked by #10494 - TDD test dependency noted

📋 Issue Quality Summary

Strengths:

  • ✅ Clear, specific title with function names
  • ✅ Comprehensive metadata (commit, branch)
  • ✅ Detailed background and context
  • ✅ Expected behavior clearly stated
  • ✅ Acceptance criteria with checkboxes (6 items)
  • ✅ Subtasks broken down (6 items)
  • ✅ Definition of Done provided
  • ✅ Code evidence with actual code snippets
  • ✅ Contrast with correct pattern from other agents
  • ✅ Impact analysis (3 specific impacts)
  • ✅ Proposed fix with code examples
  • ✅ Validation gate completed
  • ✅ Dependency tracking (#10494)

Recommendation: Move to State/Verified once implementation planning begins. This issue is ready for assignment to an implementor.

🔗 Dependencies

  • Blocked by: #10494 (TDD test for this fix)
  • Affects: src/cleveragents/agents/graphs/auto_debug.py
  • Related agents: ContextAnalysisAgent, PlanGenerationGraph (correct patterns)

📝 Next Steps

  1. Verify TDD test #10494 is ready
  2. Assign to implementation worker
  3. Implement fixes to three node functions
  4. Verify all acceptance criteria pass
  5. Confirm CI is green

Automated by CleverAgents Bot
Supervisor: Grooming | Agent: grooming-pool-supervisor

## [GROOMED] Quality Analysis Complete ### ✅ Validity Assessment: VALID & ACTIONABLE This is a **high-quality, well-documented bug report** that clearly describes a critical issue in the `AutoDebugAgent` node functions. The issue violates the LangGraph node contract and can cause state corruption. ### ✅ Label Verification All required labels are present: - **State/Unverified** ✓ (ready for verification) - **Type/Bug** ✓ (correctly classified) - **Priority/Critical** ✓ (appropriate severity) ### ✅ Milestone Assignment **Assigned to: v3.2.0 (M3: Decisions + Validations + Invariants)** This is the appropriate milestone for critical bug fixes in the current development cycle. ### 🚨 CRITICAL PRIORITY FLAG **This issue requires immediate attention.** It is: - **Priority/Critical** - violates LangGraph contract, causes state corruption - **Well-scoped** - three specific functions identified with code evidence - **Actionable** - clear fix proposal with examples - **Blocked by #10494** - TDD test dependency noted ### 📋 Issue Quality Summary **Strengths:** - ✅ Clear, specific title with function names - ✅ Comprehensive metadata (commit, branch) - ✅ Detailed background and context - ✅ Expected behavior clearly stated - ✅ Acceptance criteria with checkboxes (6 items) - ✅ Subtasks broken down (6 items) - ✅ Definition of Done provided - ✅ Code evidence with actual code snippets - ✅ Contrast with correct pattern from other agents - ✅ Impact analysis (3 specific impacts) - ✅ Proposed fix with code examples - ✅ Validation gate completed - ✅ Dependency tracking (#10494) **Recommendation:** Move to **State/Verified** once implementation planning begins. This issue is ready for assignment to an implementor. ### 🔗 Dependencies - **Blocked by:** #10494 (TDD test for this fix) - **Affects:** `src/cleveragents/agents/graphs/auto_debug.py` - **Related agents:** `ContextAnalysisAgent`, `PlanGenerationGraph` (correct patterns) ### 📝 Next Steps 1. Verify TDD test #10494 is ready 2. Assign to implementation worker 3. Implement fixes to three node functions 4. Verify all acceptance criteria pass 5. Confirm CI is green --- **Automated by CleverAgents Bot** Supervisor: Grooming | Agent: grooming-pool-supervisor
HAL9000 commented 2026-04-19 09:58:30 +00:00
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Implementation Attempt — Tier 1: Haiku — Success

Implemented the fix for LangGraph node contract violation.

Changes: Node functions now return partial state dicts instead of mutating state in-place.

Quality gates: lint ✓, typecheck ✓, unit_tests ✓

PR: #10740

Automated by CleverAgents Bot
Supervisor: Implementation Pool | Agent: implementation-worker

**Implementation Attempt** — Tier 1: Haiku — Success Implemented the fix for LangGraph node contract violation. **Changes:** Node functions now return partial state dicts instead of mutating state in-place. **Quality gates:** lint ✓, typecheck ✓, unit_tests ✓ **PR:** https://git.cleverthis.com/cleveragents/cleveragents-core/pulls/10740 --- **Automated by CleverAgents Bot** Supervisor: Implementation Pool | Agent: implementation-worker
HAL9000 commented 2026-05-16 22:24:35 +00:00
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Orphaned hierarchy detection (via grooming of PR #11153):

This issue body references "Parent Epic: #9779" but no dependency link exists between this issue and Epic #9779. Per project guidelines, regular issues must maintain a parent Epic dependency link.

Additionally, reviewer HAL9001 (PR review #8820 on PR #11153) noted that #9779 appears to be an Automation Tracking issue rather than a proper Type/Epic for auto_debug work. The project owner should confirm whether this is the correct parent Epic and add a manual dependency link via Forgejo UI.

Note: PR #11153 (which closes this issue) also has no dependency link back to this issue. That relationship needs to be established so the PR blocks Issue #10496 as required by project standards.

Automated by CleverAgents Bot
Supervisor: Grooming | Agent: grooming-worker

Orphaned hierarchy detection (via grooming of PR #11153): This issue body references "Parent Epic: #9779" but no dependency link exists between this issue and Epic #9779. Per project guidelines, regular issues must maintain a parent Epic dependency link. Additionally, reviewer HAL9001 (PR review #8820 on PR #11153) noted that #9779 appears to be an Automation Tracking issue rather than a proper Type/Epic for auto_debug work. The project owner should confirm whether this is the correct parent Epic and add a manual dependency link via Forgejo UI. Note: PR #11153 (which closes this issue) also has no dependency link back to this issue. That relationship needs to be established so the PR blocks Issue #10496 as required by project standards. --- Automated by CleverAgents Bot Supervisor: Grooming | Agent: grooming-worker
HAL9000 commented 2026-05-18 02:22:17 +00:00
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feat/B2-cli-wiring
feat/B5-project-persistence
feat/B1-project-data-models
feat/b1-data-models
feat-repo-manager-and-sourcegraph-support
feat/actor-schema
fix/component-isolation-security-fix
feat/ontology-agent
fix/error-handling-security-fix
fix/concurrency-security-fix
fix/serialization-security-fix
fix/server-side-request-forgery-security-fix
fix/file-system-security
fix/template-injection-fix
fix/data-injection-fix
tests/unit-tests
latest/poetry-generator
poetry-generator
config/contract-metadata-extractor
docs/readme-yaml-syntax
config/memory-yaml
fix/double-response
brent-additions
intel_2_demo
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auto/needs-reevaluation
Controller deferred this PR; awaiting Phase 6+ scope-evaluator or operator re-enablement.

  
controller-managed
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auto/blocked-by-deps
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auto/ci-timeout
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.

  
auto/claimed-implementer
Currently being processed by an implementer worker.

  
auto/claimed-merge
Currently being processed by the merge driver.

  
auto/claimed-reviewer
Currently being processed by a reviewer worker.

  
auto/driver-down
Merge driver heartbeat stale; pipeline halted. Closed automatically on next clean tick.

  
auto/invariant-violation
Detected master commit violating the strict merge invariant. Tracked as an issue (not a PR label); kept here for label completeness.

  
auto/last-attempt-tier-0
In-cycle escalation: most recent attempt ran at the Tier 0 slot (`tier-0`). Slot's model defined in .opencode/models/tiers.yaml.

  
auto/last-attempt-tier-1
In-cycle escalation: most recent attempt ran at the Tier 1 slot (`tier-1`). Slot's model defined in .opencode/models/tiers.yaml.

  
auto/last-attempt-tier-2
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.

  
auto/last-attempt-tier-min
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.

  
Automation Tracking
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auto/needs-conflict-resolution
Rebase conflict needs LLM conflict-resolver.

  
auto/needs-implementer
Failing CI needs implementer attention.

  
auto/postmortem
Documenting a driver incident or rollback.

  
auto/ready-to-merge
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.

  
auto/restart-throttled
Train repeatedly lost master-tempo races. Driver excludes via merge_cycle until cooldown elapses; label persists as visible history.

  
auto/revert
Revert PR backing out an invariant violation. Fast-tracked through the merge driver.

  
auto/sentinel
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.

  
auto/stale-inactivity
No implementer activity for N days. Flagged for human review. Auto-cleared on next push to head branch.

  
auto/unstable
Repeatedly fails on current master (>= 3 ci-fail-on-rebased-sha releases in 12 h). Excluded from driver until human triage.

  
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Bounty
$500
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Bounty
$5000
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Bounty
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 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.

  
Needs Feedback
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
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 The priority is critical

  
Priority
High
 The priority is high

  
Priority
Low
 The priority is low

  
Priority
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 The priority is medium

  
Signed-off: Owner
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Signed-off: Scrum Master
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Signed-off: Tech Lead
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.

  
Spike
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State
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 The ticket has been fully implemented, completed, and merged with the source code. This label should only be applied once a ticket is closed.

  
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 A ticket that represents the same content as an existing ticket.

  
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 A ticket that has had some code completed to implement but is waiting to pass peer review and is not yet merged in.

  
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State
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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.

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auto/needs-reevaluation
controller-managed
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
Bounty
$100
Bounty
$1000
Bounty
$10000
Bounty
$20
Bounty
$2000
Bounty
$250
Bounty
$50
Bounty
$500
Bounty
$5000
Bounty
$750
MoSCoW
Could have
MoSCoW
Must have
MoSCoW
Should have
Needs Feedback
Points
1
Points
13
Points
2
Points
21
Points
3
Points
34
Points
5
Points
55
Points
8
Points
88
Priority
Backlog
Priority
CI Blocker
Priority
Critical
Priority
High
Priority
Low
Priority
Medium
Signed-off: Owner
Signed-off: Scrum Master
Signed-off: Tech Lead
Spike
State
Completed
State
Duplicate
State
In Progress
State
In Review
State
Paused
State
Unverified
State
Verified
State
Wont Do
Type
Automation
Type
Bug
Type
Discussion
Type
Documentation
Type
Epic
Type
Feature
Type
Legendary
Type
Refactor
Type
Support
Type
Task
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Testing
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Reference
cleveragents/cleveragents-core#10496
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