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feat(plan): implement agents plan correct with revert and append correction modes #9286

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opened 2026-04-14 14:03:24 +00:00 by HAL9000 · 1 comment
HAL9000 commented 2026-04-14 14:03:24 +00:00
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  • Branch: feat/plan-correct-revert-append-modes
  • Commit: feat(plan): implement agents plan correct with revert and append correction modes
  • Milestone: v3.2.0

Background and Context

During plan execution, the LLM makes a series of decisions that are recorded in the decision tree. In practice, users often identify a decision point where the plan went in the wrong direction — either because the LLM made a suboptimal choice or because requirements have changed. Without a correction mechanism, users must either accept the flawed plan or restart from scratch.

The agents plan correct <PLAN_ID> <DECISION_ID> command addresses this by providing two correction modes:

  • --mode=revert: Discards all decisions made after the targeted decision point and re-runs the LLM from that state, effectively replaying the plan from that point forward with optional new guidance. This is a destructive operation that discards downstream work.
  • --mode=append: Adds guidance/correction text to the decision context at the targeted point without re-executing. This steers future decisions without discarding existing work, making it suitable for in-flight corrections.

Both modes integrate with the decision tree persistence layer introduced in v3.2.0 and rely on the context snapshot stored with each decision node.

Expected Behavior

  • agents plan correct <PLAN_ID> <DECISION_ID> --mode=revert [--guidance "text"]

    • Displays a confirmation prompt warning the user that all decisions after <DECISION_ID> will be discarded
    • On confirmation, prunes the decision tree at <DECISION_ID>, appends any provided guidance to the decision context, and re-executes the LLM from that state
    • The plan status transitions to correcting during re-execution and back to active or complete upon completion
    • The updated decision tree is persisted to the database

  • agents plan correct <PLAN_ID> <DECISION_ID> --mode=append [--guidance "text"]

    • Appends the provided guidance text to the decision context at <DECISION_ID> without re-executing
    • Future LLM calls that reference this decision node will include the appended guidance
    • The decision tree is updated and persisted; no re-execution occurs
    • Outputs a confirmation that guidance was appended successfully

  • Both modes:

    • Validate that <PLAN_ID> and <DECISION_ID> exist and are accessible
    • Return a structured error if the plan is in a non-correctable state (e.g., applying, applied)
    • Support --guidance "text" flag for providing correction text
    • Emit appropriate CLI output indicating what was changed

Acceptance Criteria

  • agents plan correct <PLAN_ID> <DECISION_ID> --mode=revert shows a confirmation prompt before proceeding
  • Confirming revert prunes the decision tree at the specified decision point and re-executes the LLM from that state
  • Declining the revert confirmation aborts the operation with no changes
  • agents plan correct <PLAN_ID> <DECISION_ID> --mode=append appends guidance to the decision context without re-executing
  • --guidance "text" flag is supported by both modes and correctly attached to the decision context
  • Both modes validate that <PLAN_ID> and <DECISION_ID> exist; return a clear error if not found
  • Both modes return a structured error if the plan is in a non-correctable state
  • Plan status transitions correctly during revert re-execution (correcting → active/complete)
  • Decision tree updates are persisted to the database after both modes
  • agents plan tree <PLAN_ID> reflects the corrected decision tree after either mode
  • Test coverage ≥ 97% for all new code paths

Subtasks

  • Design the CorrectionEngine class with revert() and append_guidance() methods
  • Implement decision tree pruning logic for revert mode (remove all nodes after target decision)
  • Implement guidance injection into decision context for both modes
  • Add --mode=revert|append and --guidance flags to the plan correct CLI command
  • Implement confirmation prompt for revert mode (with --yes / -y flag to skip)
  • Add plan state validation (reject corrections on applying/applied plans)
  • Wire revert re-execution into the existing LLM strategize pipeline from the target decision context
  • Update plan status transitions: active → correcting → active/complete
  • Persist updated decision tree to the database after correction
  • Write unit tests for CorrectionEngine.revert() and CorrectionEngine.append_guidance()
  • Write integration tests for the full plan correct CLI flow (both modes)
  • Update CLI help text and command documentation
  • Verify agents plan tree renders the corrected tree correctly post-correction

Definition of Done

The issue is closed when:

  1. agents plan correct <PLAN_ID> <DECISION_ID> --mode=revert successfully re-executes the plan from the targeted decision point after user confirmation, with all downstream decisions discarded and the updated tree persisted.
  2. agents plan correct <PLAN_ID> <DECISION_ID> --mode=append successfully appends guidance to the decision context without re-executing, with the updated tree persisted.
  3. Both modes handle invalid plan/decision IDs and non-correctable plan states with clear error messages.
  4. All acceptance criteria above are checked off.
  5. Test coverage for new code is ≥ 97%.
  6. The feature is merged to the feat/plan-correct-revert-append-modes branch and passes CI.

Automated by CleverAgents Bot
Agent: new-issue-creator

## Metadata - **Branch:** `feat/plan-correct-revert-append-modes` - **Commit:** `feat(plan): implement agents plan correct with revert and append correction modes` - **Milestone:** v3.2.0 ## Background and Context During plan execution, the LLM makes a series of decisions that are recorded in the decision tree. In practice, users often identify a decision point where the plan went in the wrong direction — either because the LLM made a suboptimal choice or because requirements have changed. Without a correction mechanism, users must either accept the flawed plan or restart from scratch. The `agents plan correct <PLAN_ID> <DECISION_ID>` command addresses this by providing two correction modes: - **`--mode=revert`**: Discards all decisions made after the targeted decision point and re-runs the LLM from that state, effectively replaying the plan from that point forward with optional new guidance. This is a destructive operation that discards downstream work. - **`--mode=append`**: Adds guidance/correction text to the decision context at the targeted point without re-executing. This steers future decisions without discarding existing work, making it suitable for in-flight corrections. Both modes integrate with the decision tree persistence layer introduced in v3.2.0 and rely on the context snapshot stored with each decision node. ## Expected Behavior - `agents plan correct <PLAN_ID> <DECISION_ID> --mode=revert [--guidance "text"]` - Displays a confirmation prompt warning the user that all decisions after `<DECISION_ID>` will be discarded - On confirmation, prunes the decision tree at `<DECISION_ID>`, appends any provided guidance to the decision context, and re-executes the LLM from that state - The plan status transitions to `correcting` during re-execution and back to `active` or `complete` upon completion - The updated decision tree is persisted to the database - `agents plan correct <PLAN_ID> <DECISION_ID> --mode=append [--guidance "text"]` - Appends the provided guidance text to the decision context at `<DECISION_ID>` without re-executing - Future LLM calls that reference this decision node will include the appended guidance - The decision tree is updated and persisted; no re-execution occurs - Outputs a confirmation that guidance was appended successfully - Both modes: - Validate that `<PLAN_ID>` and `<DECISION_ID>` exist and are accessible - Return a structured error if the plan is in a non-correctable state (e.g., `applying`, `applied`) - Support `--guidance "text"` flag for providing correction text - Emit appropriate CLI output indicating what was changed ## Acceptance Criteria - [ ] `agents plan correct <PLAN_ID> <DECISION_ID> --mode=revert` shows a confirmation prompt before proceeding - [ ] Confirming revert prunes the decision tree at the specified decision point and re-executes the LLM from that state - [ ] Declining the revert confirmation aborts the operation with no changes - [ ] `agents plan correct <PLAN_ID> <DECISION_ID> --mode=append` appends guidance to the decision context without re-executing - [ ] `--guidance "text"` flag is supported by both modes and correctly attached to the decision context - [ ] Both modes validate that `<PLAN_ID>` and `<DECISION_ID>` exist; return a clear error if not found - [ ] Both modes return a structured error if the plan is in a non-correctable state - [ ] Plan status transitions correctly during revert re-execution (`correcting` → `active`/`complete`) - [ ] Decision tree updates are persisted to the database after both modes - [ ] `agents plan tree <PLAN_ID>` reflects the corrected decision tree after either mode - [ ] Test coverage ≥ 97% for all new code paths ## Subtasks - [ ] Design the `CorrectionEngine` class with `revert()` and `append_guidance()` methods - [ ] Implement decision tree pruning logic for revert mode (remove all nodes after target decision) - [ ] Implement guidance injection into decision context for both modes - [ ] Add `--mode=revert|append` and `--guidance` flags to the `plan correct` CLI command - [ ] Implement confirmation prompt for revert mode (with `--yes` / `-y` flag to skip) - [ ] Add plan state validation (reject corrections on `applying`/`applied` plans) - [ ] Wire revert re-execution into the existing LLM strategize pipeline from the target decision context - [ ] Update plan status transitions: `active` → `correcting` → `active`/`complete` - [ ] Persist updated decision tree to the database after correction - [ ] Write unit tests for `CorrectionEngine.revert()` and `CorrectionEngine.append_guidance()` - [ ] Write integration tests for the full `plan correct` CLI flow (both modes) - [ ] Update CLI help text and command documentation - [ ] Verify `agents plan tree` renders the corrected tree correctly post-correction ## Definition of Done The issue is closed when: 1. `agents plan correct <PLAN_ID> <DECISION_ID> --mode=revert` successfully re-executes the plan from the targeted decision point after user confirmation, with all downstream decisions discarded and the updated tree persisted. 2. `agents plan correct <PLAN_ID> <DECISION_ID> --mode=append` successfully appends guidance to the decision context without re-executing, with the updated tree persisted. 3. Both modes handle invalid plan/decision IDs and non-correctable plan states with clear error messages. 4. All acceptance criteria above are checked off. 5. Test coverage for new code is ≥ 97%. 6. The feature is merged to the `feat/plan-correct-revert-append-modes` branch and passes CI. --- **Automated by CleverAgents Bot** Agent: new-issue-creator
HAL9000 added this to the v3.2.0 milestone 2026-04-14 14:05:01 +00:00
HAL9000 commented 2026-04-14 14:05:01 +00:00
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✅ Triage: Verified [AUTO-OWNR-1]

Valid feature: agents plan correct with revert and append correction modes is a core M3 deliverable (v3.2.0 milestone acceptance criteria: "agents plan correct --mode=revert re-executes from the targeted decision point" and "agents plan correct --mode=append adds guidance without recomputing"). This issue provides a comprehensive specification for implementing both modes.

The CorrectionEngine design with revert() and append_guidance() methods is well-structured and aligns with the spec's requirements.

Assigning to v3.2.0 as plan correct is explicitly listed in the M3 acceptance criteria. Priority High — this is a core M3 deliverable.

MoSCoW: Must Have — agents plan correct is explicitly required by the v3.2.0 milestone acceptance criteria. The milestone cannot be considered complete without it.

Automated by CleverAgents Bot
Supervisor: Project Owner | Agent: project-owner-pool-supervisor

✅ **Triage: Verified** [AUTO-OWNR-1] Valid feature: `agents plan correct` with revert and append correction modes is a core M3 deliverable (v3.2.0 milestone acceptance criteria: "`agents plan correct --mode=revert` re-executes from the targeted decision point" and "`agents plan correct --mode=append` adds guidance without recomputing"). This issue provides a comprehensive specification for implementing both modes. The `CorrectionEngine` design with `revert()` and `append_guidance()` methods is well-structured and aligns with the spec's requirements. Assigning to **v3.2.0** as `plan correct` is explicitly listed in the M3 acceptance criteria. Priority **High** — this is a core M3 deliverable. MoSCoW: **Must Have** — `agents plan correct` is explicitly required by the v3.2.0 milestone acceptance criteria. The milestone cannot be considered complete without it. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor
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docs/auto-docs-4-fix-conflicts
docs/auto-docs-1-milestone-docs-v3.0.0-v3.1.0
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docs/update-module-guides-2026-04-10
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spec/document-context-tier-hydrator-6175
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temp
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spec/invariant-reconciliation-failure-behavior
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spec/architecture-corrections-cycle3
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docs/auto-docs-writer-cycle1-labels
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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
v3.2.0
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.

Dependencies

No dependencies set.

Reference
cleveragents/cleveragents-core#9286
No description provided.