Epic: Plan Correction Engine (v3.2.0) #8481

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opened 2026-04-13 20:06:03 +00:00 by HAL9000 · 1 comment

HAL9000 commented 2026-04-13 20:06:03 +00:00

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• Commit message: feat(plan-correction): implement plan correct --mode=revert|append, selective subtree recomputation, and flexible output validation
• Branch name: feat/v3.2.0-plan-correction-engine

Background and Context

As part of the v3.2.0 milestone (M3: Decisions + Validations + Invariants), the agent system needs the ability to correct decisions after the fact. Currently, if a decision in a plan is wrong, the only option is to re-run the entire plan from scratch — a costly and time-consuming operation.

This Epic delivers the Plan Correction Engine: two correction modes (revert and append), selective subtree recomputation so only the affected portion of the decision tree is re-evaluated, and flexible output validation that checks structural components rather than exact character matching.

This Epic blocks the parent Legendary issue #8475.

Expected Behavior

• agents plan correct <decision-id> --mode=revert re-executes the plan from the targeted decision point, recomputing only the affected subtree of decisions downstream of that point
• agents plan correct <decision-id> --mode=append adds guidance or a correction note to the targeted decision without triggering recomputation — useful for annotating decisions without re-running
• Selective subtree recomputation ensures that only decisions downstream of the corrected node are re-evaluated; upstream decisions are preserved
• Output validation is flexible — it checks for the presence of structural components (e.g., required fields, expected sections) rather than requiring exact character-for-character matches

Acceptance Criteria

• agents plan correct <id> --mode=revert re-executes from the targeted decision point
• agents plan correct <id> --mode=revert recomputes only the affected subtree (upstream decisions are preserved)
• agents plan correct <id> --mode=append adds guidance/correction note without triggering recomputation
• Both correction modes persist their changes to the database
• Output validation checks structural components, not exact character matching
• Corrected decision history is preserved (original decision + correction are both recorded)
• agents plan tree reflects corrections visually (e.g., marking corrected nodes)
• Test coverage >= 97% for all new code in this Epic

Subtasks

• Design the correction data model (how corrections are stored relative to original decisions)
• Implement agents plan correct --mode=revert CLI command
• Implement selective subtree recomputation logic (identify and re-execute only downstream decisions)
• Implement agents plan correct --mode=append CLI command
• Implement correction persistence to the database
• Implement flexible output validation (structural component checks)
• Update agents plan tree to visually reflect corrected nodes
• Write unit tests for correction logic and subtree recomputation (>= 97% coverage)
• Write integration tests for both correction modes end-to-end
• Update documentation / help text for plan correct command

Child Issues / Child Epics

#	Title	Status
#8531	Implement correction data model & persistence	🔲 Open
#8533	Implement plan correct --mode=revert with subtree recomputation	🔲 Open
#8534	Implement plan correct --mode=append	🔲 Open
#8535	Implement flexible output validation	🔲 Open
#8537	Update plan tree to reflect corrections	🔲 Open

Definition of Done

This Epic should be closed when:

1. All Acceptance Criteria above are verified and checked off
2. All child implementation issues are closed
3. Test coverage >= 97% is confirmed by CI for all new code
4. Code has passed peer review and been merged to the main branch
5. The parent Legendary issue #8475 has been updated to reflect this Epic's completion

---

Automated by CleverAgents Bot
Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

## Metadata - **Commit message**: `feat(plan-correction): implement plan correct --mode=revert|append, selective subtree recomputation, and flexible output validation` - **Branch name**: `feat/v3.2.0-plan-correction-engine` ## Background and Context As part of the v3.2.0 milestone (M3: Decisions + Validations + Invariants), the agent system needs the ability to correct decisions after the fact. Currently, if a decision in a plan is wrong, the only option is to re-run the entire plan from scratch — a costly and time-consuming operation. This Epic delivers the Plan Correction Engine: two correction modes (`revert` and `append`), selective subtree recomputation so only the affected portion of the decision tree is re-evaluated, and flexible output validation that checks structural components rather than exact character matching. This Epic blocks the parent Legendary issue #8475. ## Expected Behavior - `agents plan correct <decision-id> --mode=revert` re-executes the plan from the targeted decision point, recomputing only the affected subtree of decisions downstream of that point - `agents plan correct <decision-id> --mode=append` adds guidance or a correction note to the targeted decision without triggering recomputation — useful for annotating decisions without re-running - Selective subtree recomputation ensures that only decisions downstream of the corrected node are re-evaluated; upstream decisions are preserved - Output validation is flexible — it checks for the presence of structural components (e.g., required fields, expected sections) rather than requiring exact character-for-character matches ## Acceptance Criteria - [ ] `agents plan correct <id> --mode=revert` re-executes from the targeted decision point - [ ] `agents plan correct <id> --mode=revert` recomputes only the affected subtree (upstream decisions are preserved) - [ ] `agents plan correct <id> --mode=append` adds guidance/correction note without triggering recomputation - [ ] Both correction modes persist their changes to the database - [ ] Output validation checks structural components, not exact character matching - [ ] Corrected decision history is preserved (original decision + correction are both recorded) - [ ] `agents plan tree` reflects corrections visually (e.g., marking corrected nodes) - [ ] Test coverage >= 97% for all new code in this Epic ## Subtasks - [ ] Design the correction data model (how corrections are stored relative to original decisions) - [ ] Implement `agents plan correct --mode=revert` CLI command - [ ] Implement selective subtree recomputation logic (identify and re-execute only downstream decisions) - [ ] Implement `agents plan correct --mode=append` CLI command - [ ] Implement correction persistence to the database - [ ] Implement flexible output validation (structural component checks) - [ ] Update `agents plan tree` to visually reflect corrected nodes - [ ] Write unit tests for correction logic and subtree recomputation (>= 97% coverage) - [ ] Write integration tests for both correction modes end-to-end - [ ] Update documentation / help text for `plan correct` command ## Child Issues / Child Epics | # | Title | Status | |---|-------|--------| | #8531 | Implement correction data model & persistence | 🔲 Open | | #8533 | Implement `plan correct --mode=revert` with subtree recomputation | 🔲 Open | | #8534 | Implement `plan correct --mode=append` | 🔲 Open | | #8535 | Implement flexible output validation | 🔲 Open | | #8537 | Update `plan tree` to reflect corrections | 🔲 Open | ## Definition of Done This Epic should be closed when: 1. All Acceptance Criteria above are verified and checked off 2. All child implementation issues are closed 3. Test coverage >= 97% is confirmed by CI for all new code 4. Code has passed peer review and been merged to the main branch 5. The parent Legendary issue #8475 has been updated to reflect this Epic's completion --- **Automated by CleverAgents Bot** Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor

HAL9000 added this to the v3.2.0 milestone 2026-04-13 20:06:21 +00:00

HAL9000 added the

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labels 2026-04-13 20:06:24 +00:00

HAL9000 referenced this issue 2026-04-13 20:06:55 +00:00

Legendary: Decision Recording & Plan Management (v3.2.0) #8475

HAL9000 added

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labels 2026-04-13 20:13:59 +00:00

HAL9000 referenced this issue 2026-04-13 20:33:19 +00:00

[AUTO-EPIC] Signature test (Cycle 2) #8514

HAL9000 referenced this issue 2026-04-13 20:36:35 +00:00

feat(plan-correction): implement correction data model and persistence #8531

HAL9000 referenced this issue 2026-04-13 20:36:44 +00:00

feat(plan-correction): implement plan correct --mode=revert with selective subtree recomputation #8533

HAL9000 referenced this issue 2026-04-13 20:36:47 +00:00

Legendary: Decision Recording & Plan Management (v3.2.0) #8475

HAL9000 referenced this issue 2026-04-13 20:36:51 +00:00

feat(plan-correction): implement plan correct --mode=append #8534

HAL9000 referenced this issue 2026-04-13 20:36:59 +00:00

feat(plan-correction): implement flexible output validation for structural component checks #8535

HAL9000 referenced this issue 2026-04-13 20:37:06 +00:00

feat(plan-correction): update agents plan tree to visually reflect corrected nodes #8537

HAL9000 commented 2026-04-13 20:45:48 +00:00

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🤖 Child Issues Created — Plan Correction Engine (v3.2.0)

All 5 child implementation issues have been created and linked to this Epic. Each issue is assigned to milestone v3.2.0 (ID: 105) and labeled with Type/Feature, Priority/High, MoSCoW/Must have, and State/Verified.

#	Issue	Branch Prefix
#8531	feat(plan-correction): implement correction data model and persistence	feat/v3.2.0-correction-data-model-persistence
#8533	feat(plan-correction): implement plan correct --mode=revert with selective subtree recomputation	feat/v3.2.0-plan-correct-revert
#8534	feat(plan-correction): implement plan correct --mode=append	feat/v3.2.0-plan-correct-append
#8535	feat(plan-correction): implement flexible output validation for structural component checks	feat/v3.2.0-flexible-output-validation
#8537	feat(plan-correction): update agents plan tree to visually reflect corrected nodes	feat/v3.2.0-plan-tree-corrections

Each child issue BLOCKS this Epic (#8481). The Epic body has been updated to replace TBD entries with the actual issue numbers above.

---

Automated by CleverAgents Bot
Agent: new-issue-creator

## 🤖 Child Issues Created — Plan Correction Engine (v3.2.0) All 5 child implementation issues have been created and linked to this Epic. Each issue is assigned to milestone **v3.2.0** (ID: 105) and labeled with `Type/Feature`, `Priority/High`, `MoSCoW/Must have`, and `State/Verified`. | # | Issue | Branch Prefix | |---|-------|---------------| | #8531 | [feat(plan-correction): implement correction data model and persistence](https://git.cleverthis.com/cleveragents/cleveragents-core/issues/8531) | `feat/v3.2.0-correction-data-model-persistence` | | #8533 | [feat(plan-correction): implement plan correct --mode=revert with selective subtree recomputation](https://git.cleverthis.com/cleveragents/cleveragents-core/issues/8533) | `feat/v3.2.0-plan-correct-revert` | | #8534 | [feat(plan-correction): implement plan correct --mode=append](https://git.cleverthis.com/cleveragents/cleveragents-core/issues/8534) | `feat/v3.2.0-plan-correct-append` | | #8535 | [feat(plan-correction): implement flexible output validation for structural component checks](https://git.cleverthis.com/cleveragents/cleveragents-core/issues/8535) | `feat/v3.2.0-flexible-output-validation` | | #8537 | [feat(plan-correction): update agents plan tree to visually reflect corrected nodes](https://git.cleverthis.com/cleveragents/cleveragents-core/issues/8537) | `feat/v3.2.0-plan-tree-corrections` | Each child issue BLOCKS this Epic (#8481). The Epic body has been updated to replace TBD entries with the actual issue numbers above. --- **Automated by CleverAgents Bot** Agent: new-issue-creator

HAL9000 referenced this issue 2026-04-13 21:15:54 +00:00

Legendary: Decision Recording & Plan Management (v3.2.0) #8475

HAL9000 referenced this issue 2026-04-13 21:52:04 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 4) #8634

HAL9000 referenced this issue 2026-04-13 22:06:55 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 5) #8672

HAL9000 referenced this issue 2026-04-13 22:15:21 +00:00

feat(plan-correction): implement correction data model and persistence #8685

HAL9000 referenced this issue 2026-04-13 22:36:08 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 6) #8707

HAL9000 referenced this issue 2026-04-14 01:10:11 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 7) #8821

HAL9000 referenced this issue 2026-04-14 02:39:20 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 9) #8850

HAL9000 referenced this issue 2026-04-14 05:28:53 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 10) #9016

HAL9000 referenced this issue 2026-04-14 06:26:21 +00:00

[AUTO-EPIC] Status: Epic Planning Pool Supervisor — Tracking Issue (Cycle 14) #9042

HAL9000 referenced this issue from a pull request that will close it, 2026-04-14 09:03:53 +00:00

docs(spec): add Plan Correction Engine specification (v3.2.0) #8627

HAL9000 referenced this issue 2026-04-14 22:08:30 +00:00

[AUTO-EPIC] Status: Epic Planning Supervisor (Cycle 1) #9543

HAL9000 referenced this issue 2026-04-14 23:43:53 +00:00

[AUTO-EPIC] Status: Epic Planning Supervisor (Cycle 3) #9593

HAL9000 referenced this issue from a commit 2026-05-07 10:21:53 +00:00

feat(plan-correction): implement correction data model and persistence

HAL9000 referenced this issue from a commit 2026-05-09 22:29:13 +00:00

docs(plan-correction): add changelog and contributors entries for correction data model

HAL9000 referenced this issue 2026-05-09 22:40:39 +00:00

docs(plan-correction): add changelog and contributors entries for correction data model #11085

HAL9000 referenced this issue from a commit 2026-05-09 23:29:29 +00:00

docs(plan-correction): add changelog and contributors entries for correction data model

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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.

  

Blocked

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.

  

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

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

Subscribe

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#8481

No description provided.