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UAT: DecisionType.ERROR_RECOVERY is defined but never recorded in the decision tree — spec requires error recovery decisions to be persisted #4022

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opened 2026-04-06 08:42:38 +00:00 by freemo · 0 comments
freemo commented 2026-04-06 08:42:38 +00:00
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Metadata

  • Branch: bugfix/error-recovery-decision-tree-recording
  • Commit Message: fix(plan-executor): record error_recovery decisions in decision tree during execute phase
  • Milestone: None (backlog)
  • Parent Epic: #394

Background and Context

The spec (docs/specification.md, line 18697) explicitly lists error_recovery as an actor-recorded decision type that must be recorded in the plan's decision tree when an error occurs during execution:

| Actor-recorded | strategy_choice, resource_selection, subplan_spawn, subplan_parallel_spawn, implementation_choice, tool_invocation, error_recovery, validation_response | Strategy or Execution actor | Actor identifies a choice point and calls record_decision |

The spec also states (line 28684):

When the target decision was created during Execute (e.g., an implementation_choice or error_recovery), both resource and reasoning rollback are needed

DecisionType.ERROR_RECOVERY = "error_recovery" is defined in decision.py (line 105) and included in EXECUTE_TYPES (line 144), but it is never used anywhere in the codebase to actually record a decision. It is dead code.

Current Behavior

When an error occurs during plan execution:

  1. ErrorRecoveryService.record_error() is called (e.g., plan_executor.py lines 558–565, 791–798)
  2. The error is stored in ErrorRecoveryService._histories (in-memory only, not persisted to the decision tree)
  3. The error is stored in plan.error_details (a flat dict, not a decision tree node)
  4. record_decision() with decision_type=DecisionType.ERROR_RECOVERY is never called

A codebase-wide search confirms DecisionType.ERROR_RECOVERY is only referenced in decision.py at its definition — it is never used to record an actual decision anywhere.

Expected Behavior

When an error occurs during plan execution and a recovery action is taken (retry, revert, cancel, etc.), the execution actor must call record_decision with decision_type=error_recovery, recording:

  • The error that occurred
  • The recovery action chosen (retry/revert/cancel)
  • Alternatives considered
  • Confidence score
  • Rationale

This decision must be persisted in the decision tree so that:

  1. It can be reviewed via agents plan tree <PLAN_ID>
  2. It can be corrected via agents plan correct <DECISION_ID>
  3. Rollback to the error recovery decision point is possible (spec line 28684 requires both resource and reasoning rollback for error_recovery decisions)

Acceptance Criteria

  • When an error occurs during plan execution and a recovery action is taken, record_decision(decision_type=DecisionType.ERROR_RECOVERY, ...) is called with the error details, chosen recovery action, alternatives, confidence, and rationale
  • The resulting decision node is persisted to the plan's decision tree (not only to ErrorRecoveryService._histories or plan.error_details)
  • agents plan tree <PLAN_ID> displays error_recovery decision nodes when errors occurred during execution
  • agents plan correct <DECISION_ID> can target an error_recovery decision node
  • Rollback to an error_recovery decision point triggers both resource and reasoning rollback per spec line 28684
  • DecisionType.ERROR_RECOVERY is no longer dead code — it is exercised by at least one code path

Supporting Information

Code locations:

  • src/cleveragents/domain/models/core/decision.py:105 — ERROR_RECOVERY = "error_recovery" (defined but unused)
  • src/cleveragents/domain/models/core/decision.py:144 — included in EXECUTE_TYPES (but no code path creates it)
  • src/cleveragents/application/services/plan_executor.py:558-565 — records error via ErrorRecoveryService but not decision tree
  • src/cleveragents/application/services/plan_executor.py:791-808 — retry loop records error but not decision tree

Steps to reproduce:

  1. Create a plan that fails during execute phase
  2. Observe that agents plan tree <PLAN_ID> shows no error_recovery decision nodes
  3. Observe that agents plan correct cannot be used to correct an error recovery decision

Related issue: #3988 (UAT: PlanExecutor.run_strategize() stores decision count in plan.error_details — a semantic misuse of the error field)

Backlog note: This issue was discovered during autonomous operation
on milestone v3.3.0. It does not block milestone completion and has been
placed in the backlog for human review and future milestone assignment.

Subtasks

  • Identify all error recovery call sites in plan_executor.py where ErrorRecoveryService.record_error() is called
  • Add record_decision(decision_type=DecisionType.ERROR_RECOVERY, ...) calls at each error recovery decision point, capturing: error details, chosen recovery action, alternatives considered, confidence score, and rationale
  • Ensure the decision is persisted to the plan's decision tree (not only in-memory or plan.error_details)
  • Verify agents plan tree <PLAN_ID> displays error_recovery nodes after an error recovery event
  • Verify agents plan correct <DECISION_ID> can target an error_recovery decision
  • Verify rollback to an error_recovery decision triggers both resource and reasoning rollback
  • Tests (unit): Add unit tests for error_recovery decision recording in plan_executor.py
  • Tests (Behave/Robot): Add integration scenario for error recovery decision tree persistence
  • Verify coverage >= 97% via nox -s coverage_report
  • Run nox (all default sessions), fix any errors

Definition of Done

This issue is complete when:

  • All subtasks above are completed and checked off.
  • A Git commit is created where the first line of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation.
  • The commit is pushed to the remote on the branch matching the Branch in Metadata exactly.
  • The commit is submitted as a pull request to master, reviewed, and merged before this issue is marked done.
  • All nox stages pass.
  • Coverage >= 97%.

Automated by CleverAgents Bot
Supervisor: UAT Testing | Agent: ca-uat-tester

## Metadata - **Branch**: `bugfix/error-recovery-decision-tree-recording` - **Commit Message**: `fix(plan-executor): record error_recovery decisions in decision tree during execute phase` - **Milestone**: None (backlog) - **Parent Epic**: #394 ## Background and Context The spec (`docs/specification.md`, line 18697) explicitly lists `error_recovery` as an **actor-recorded decision type** that must be recorded in the plan's decision tree when an error occurs during execution: > | **Actor-recorded** | `strategy_choice`, `resource_selection`, `subplan_spawn`, `subplan_parallel_spawn`, `implementation_choice`, `tool_invocation`, `error_recovery`, `validation_response` | Strategy or Execution actor | Actor identifies a choice point and calls `record_decision` | The spec also states (line 28684): > When the target decision was created during Execute (e.g., an `implementation_choice` or `error_recovery`), **both resource and reasoning rollback are needed** `DecisionType.ERROR_RECOVERY = "error_recovery"` is defined in `decision.py` (line 105) and included in `EXECUTE_TYPES` (line 144), but it is **never used anywhere in the codebase** to actually record a decision. It is dead code. ## Current Behavior When an error occurs during plan execution: 1. `ErrorRecoveryService.record_error()` is called (e.g., `plan_executor.py` lines 558–565, 791–798) 2. The error is stored in `ErrorRecoveryService._histories` (in-memory only, not persisted to the decision tree) 3. The error is stored in `plan.error_details` (a flat dict, not a decision tree node) 4. `record_decision()` with `decision_type=DecisionType.ERROR_RECOVERY` is **never called** A codebase-wide search confirms `DecisionType.ERROR_RECOVERY` is only referenced in `decision.py` at its definition — it is never used to record an actual decision anywhere. ## Expected Behavior When an error occurs during plan execution and a recovery action is taken (retry, revert, cancel, etc.), the execution actor must call `record_decision` with `decision_type=error_recovery`, recording: - The error that occurred - The recovery action chosen (retry/revert/cancel) - Alternatives considered - Confidence score - Rationale This decision must be persisted in the decision tree so that: 1. It can be reviewed via `agents plan tree <PLAN_ID>` 2. It can be corrected via `agents plan correct <DECISION_ID>` 3. Rollback to the error recovery decision point is possible (spec line 28684 requires both resource and reasoning rollback for `error_recovery` decisions) ## Acceptance Criteria - [ ] When an error occurs during plan execution and a recovery action is taken, `record_decision(decision_type=DecisionType.ERROR_RECOVERY, ...)` is called with the error details, chosen recovery action, alternatives, confidence, and rationale - [ ] The resulting decision node is persisted to the plan's decision tree (not only to `ErrorRecoveryService._histories` or `plan.error_details`) - [ ] `agents plan tree <PLAN_ID>` displays `error_recovery` decision nodes when errors occurred during execution - [ ] `agents plan correct <DECISION_ID>` can target an `error_recovery` decision node - [ ] Rollback to an `error_recovery` decision point triggers both resource and reasoning rollback per spec line 28684 - [ ] `DecisionType.ERROR_RECOVERY` is no longer dead code — it is exercised by at least one code path ## Supporting Information **Code locations:** - `src/cleveragents/domain/models/core/decision.py:105` — `ERROR_RECOVERY = "error_recovery"` (defined but unused) - `src/cleveragents/domain/models/core/decision.py:144` — included in `EXECUTE_TYPES` (but no code path creates it) - `src/cleveragents/application/services/plan_executor.py:558-565` — records error via `ErrorRecoveryService` but not decision tree - `src/cleveragents/application/services/plan_executor.py:791-808` — retry loop records error but not decision tree **Steps to reproduce:** 1. Create a plan that fails during execute phase 2. Observe that `agents plan tree <PLAN_ID>` shows no `error_recovery` decision nodes 3. Observe that `agents plan correct` cannot be used to correct an error recovery decision **Related issue:** #3988 (UAT: `PlanExecutor.run_strategize()` stores decision count in `plan.error_details` — a semantic misuse of the error field) > **Backlog note:** This issue was discovered during autonomous operation > on milestone v3.3.0. It does not block milestone completion and has been > placed in the backlog for human review and future milestone assignment. ## Subtasks - [ ] Identify all error recovery call sites in `plan_executor.py` where `ErrorRecoveryService.record_error()` is called - [ ] Add `record_decision(decision_type=DecisionType.ERROR_RECOVERY, ...)` calls at each error recovery decision point, capturing: error details, chosen recovery action, alternatives considered, confidence score, and rationale - [ ] Ensure the decision is persisted to the plan's decision tree (not only in-memory or `plan.error_details`) - [ ] Verify `agents plan tree <PLAN_ID>` displays `error_recovery` nodes after an error recovery event - [ ] Verify `agents plan correct <DECISION_ID>` can target an `error_recovery` decision - [ ] Verify rollback to an `error_recovery` decision triggers both resource and reasoning rollback - [ ] Tests (unit): Add unit tests for `error_recovery` decision recording in `plan_executor.py` - [ ] Tests (Behave/Robot): Add integration scenario for error recovery decision tree persistence - [ ] Verify coverage >= 97% via `nox -s coverage_report` - [ ] Run `nox` (all default sessions), fix any errors ## Definition of Done This issue is complete when: - All subtasks above are completed and checked off. - A Git commit is created where the **first line** of the commit message matches the Commit Message in Metadata exactly, followed by a blank line, then additional lines providing relevant details about the implementation. - The commit is pushed to the remote on the branch matching the **Branch** in Metadata exactly. - The commit is submitted as a **pull request** to `master`, reviewed, and **merged** before this issue is marked done. - All nox stages pass. - Coverage >= 97%. --- **Automated by CleverAgents Bot** Supervisor: UAT Testing | Agent: ca-uat-tester
HAL9000 added this to the v3.5.0 milestone 2026-04-09 03:11:57 +00:00
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docs/auto-docs-1-milestone-docs-v3.0.0-v3.1.0
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spec/document-context-tier-hydrator-6175
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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

  
Signed-off: Owner
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.

  
Signed-off: Scrum Master
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.

  
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
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.

No labels
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
Type
Testing
Milestone
Clear milestone
No items
No milestone
v3.5.0
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
1 participant
Notifications
Due date
The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Blocks
#394 Epic: Decision Framework
cleveragents/cleveragents-core
Reference
cleveragents/cleveragents-core#4022
No description provided.