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feat(plan): record decisions with full context snapshots during Strategize phase #9289

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opened 2026-04-14 14:06:12 +00:00 by HAL9000 · 1 comment
HAL9000 commented 2026-04-14 14:06:12 +00:00
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  • Branch: feat/plan-decision-recording-strategize
  • Commit Message: feat(plan): record decisions with full context snapshots during Strategize phase
  • Milestone: v3.2.0

Background and Context

During the Strategize phase of planning, the LLM makes a series of consequential decisions — which files to include in context, which approach to take, how to decompose a task, etc. Currently, these decisions are ephemeral: once the Strategize phase completes, there is no record of why a particular strategy was chosen, what alternatives were considered, or what context was available at the time.

This lack of auditability creates several problems:

  • Debugging failed plans is difficult because the reasoning chain is lost
  • There is no way to replay or review strategic decisions post-hoc
  • Improving the planner requires guesswork about what decisions were made and why
  • The system cannot learn from past decisions without a structured record

To satisfy the v3.2.0 milestone acceptance criterion — "Decisions are recorded during Strategize with full context snapshots" — we need a decision recording subsystem that captures each LLM decision with its full context at the moment it is made.

Expected Behavior

When the Strategize phase runs:

  1. Each decision made by the LLM is intercepted and recorded before execution continues.
  2. A full context snapshot is captured at the time of each decision, including:
    • The list of files currently in context (paths + content hashes)
    • The exact prompt sent to the LLM
    • The raw LLM response
    • Any structured reasoning extracted from the response
  3. Each decision record is assigned a ULID as its unique identifier.
  4. The decision type is classified (e.g., file_selection, approach_selection, decomposition, constraint_identification).
  5. Alternatives considered by the LLM (extracted from chain-of-thought or structured output) are stored alongside the chosen option.
  6. All decision records are persisted to the database with a proper foreign key referencing the parent plan.
  7. Decisions are queryable by plan ID and returned in chronological order (by timestamp).

Acceptance Criteria

  • A PlanDecision model exists with fields: id (ULID), plan_id (FK), decision_type, context_snapshot (JSON), prompt, llm_response, chosen_option, alternatives_considered (JSON array), created_at
  • The context_snapshot field captures: files in context (paths + content hashes), active constraints, and current plan state at decision time
  • Decision recording is integrated into the Strategize phase execution path — every LLM call that produces a decision triggers a record
  • Decision types are defined as an enum/constant set: file_selection, approach_selection, decomposition, constraint_identification, tool_selection
  • Alternatives considered are extracted from LLM structured output or chain-of-thought and stored as a JSON array
  • Each decision is assigned a ULID at creation time
  • Decisions are persisted to the database with a non-nullable FK to the parent plan
  • A query interface exists to retrieve all decisions for a given plan ID, ordered by created_at ascending
  • Database migration is included for the new plan_decisions table
  • Unit tests cover: decision model creation, context snapshot serialization, ULID assignment, and FK constraint
  • Integration tests cover: full Strategize phase run produces ≥1 decision record in the database

Subtasks

  • Define PlanDecision dataclass/model with all required fields (id, plan_id, decision_type, context_snapshot, prompt, llm_response, chosen_option, alternatives_considered, created_at)
  • Define DecisionType enum with values: file_selection, approach_selection, decomposition, constraint_identification, tool_selection
  • Implement ContextSnapshot value object that captures files-in-context (path + content hash), active constraints, and plan state
  • Implement DecisionRecorder service with record(plan_id, decision_type, context_snapshot, prompt, response, chosen, alternatives) method
  • Integrate DecisionRecorder into the Strategize phase — hook into each LLM call site that produces a decision
  • Implement ULID generation for decision IDs (reuse existing ULID utility or add one)
  • Write database migration for plan_decisions table with proper FK, indexes on plan_id and created_at
  • Implement repository method get_decisions_by_plan_id(plan_id) -> list[PlanDecision] ordered by created_at
  • Write unit tests for PlanDecision model, ContextSnapshot, and DecisionRecorder
  • Write integration test: run Strategize phase on a fixture plan and assert decisions are persisted to DB
  • Update relevant documentation / architecture docs to describe the decision recording subsystem

Definition of Done

  • All acceptance criteria checkboxes are checked
  • All subtasks are completed
  • CI passes (lint, type-check, unit tests, integration tests)
  • Database migration is reviewed and applies cleanly on a fresh schema
  • Code is reviewed and approved
  • No regressions in existing Strategize phase behaviour (existing tests still pass)
  • The feature is reachable/verifiable via the query interface (decisions retrievable by plan ID)

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## Metadata - **Branch**: `feat/plan-decision-recording-strategize` - **Commit Message**: `feat(plan): record decisions with full context snapshots during Strategize phase` - **Milestone**: v3.2.0 ## Background and Context During the Strategize phase of planning, the LLM makes a series of consequential decisions — which files to include in context, which approach to take, how to decompose a task, etc. Currently, these decisions are ephemeral: once the Strategize phase completes, there is no record of *why* a particular strategy was chosen, what alternatives were considered, or what context was available at the time. This lack of auditability creates several problems: - Debugging failed plans is difficult because the reasoning chain is lost - There is no way to replay or review strategic decisions post-hoc - Improving the planner requires guesswork about what decisions were made and why - The system cannot learn from past decisions without a structured record To satisfy the v3.2.0 milestone acceptance criterion — *"Decisions are recorded during Strategize with full context snapshots"* — we need a decision recording subsystem that captures each LLM decision with its full context at the moment it is made. ## Expected Behavior When the Strategize phase runs: 1. Each decision made by the LLM is intercepted and recorded before execution continues. 2. A full context snapshot is captured at the time of each decision, including: - The list of files currently in context (paths + content hashes) - The exact prompt sent to the LLM - The raw LLM response - Any structured reasoning extracted from the response 3. Each decision record is assigned a ULID as its unique identifier. 4. The decision type is classified (e.g., `file_selection`, `approach_selection`, `decomposition`, `constraint_identification`). 5. Alternatives considered by the LLM (extracted from chain-of-thought or structured output) are stored alongside the chosen option. 6. All decision records are persisted to the database with a proper foreign key referencing the parent plan. 7. Decisions are queryable by plan ID and returned in chronological order (by timestamp). ## Acceptance Criteria - [ ] A `PlanDecision` model exists with fields: `id` (ULID), `plan_id` (FK), `decision_type`, `context_snapshot` (JSON), `prompt`, `llm_response`, `chosen_option`, `alternatives_considered` (JSON array), `created_at` - [ ] The `context_snapshot` field captures: files in context (paths + content hashes), active constraints, and current plan state at decision time - [ ] Decision recording is integrated into the Strategize phase execution path — every LLM call that produces a decision triggers a record - [ ] Decision types are defined as an enum/constant set: `file_selection`, `approach_selection`, `decomposition`, `constraint_identification`, `tool_selection` - [ ] Alternatives considered are extracted from LLM structured output or chain-of-thought and stored as a JSON array - [ ] Each decision is assigned a ULID at creation time - [ ] Decisions are persisted to the database with a non-nullable FK to the parent plan - [ ] A query interface exists to retrieve all decisions for a given plan ID, ordered by `created_at` ascending - [ ] Database migration is included for the new `plan_decisions` table - [ ] Unit tests cover: decision model creation, context snapshot serialization, ULID assignment, and FK constraint - [ ] Integration tests cover: full Strategize phase run produces ≥1 decision record in the database ## Subtasks - [ ] Define `PlanDecision` dataclass/model with all required fields (id, plan_id, decision_type, context_snapshot, prompt, llm_response, chosen_option, alternatives_considered, created_at) - [ ] Define `DecisionType` enum with values: `file_selection`, `approach_selection`, `decomposition`, `constraint_identification`, `tool_selection` - [ ] Implement `ContextSnapshot` value object that captures files-in-context (path + content hash), active constraints, and plan state - [ ] Implement `DecisionRecorder` service with `record(plan_id, decision_type, context_snapshot, prompt, response, chosen, alternatives)` method - [ ] Integrate `DecisionRecorder` into the Strategize phase — hook into each LLM call site that produces a decision - [ ] Implement ULID generation for decision IDs (reuse existing ULID utility or add one) - [ ] Write database migration for `plan_decisions` table with proper FK, indexes on `plan_id` and `created_at` - [ ] Implement repository method `get_decisions_by_plan_id(plan_id) -> list[PlanDecision]` ordered by `created_at` - [ ] Write unit tests for `PlanDecision` model, `ContextSnapshot`, and `DecisionRecorder` - [ ] Write integration test: run Strategize phase on a fixture plan and assert decisions are persisted to DB - [ ] Update relevant documentation / architecture docs to describe the decision recording subsystem ## Definition of Done - All acceptance criteria checkboxes are checked - All subtasks are completed - CI passes (lint, type-check, unit tests, integration tests) - Database migration is reviewed and applies cleanly on a fresh schema - Code is reviewed and approved - No regressions in existing Strategize phase behaviour (existing tests still pass) - The feature is reachable/verifiable via the query interface (decisions retrievable by plan ID) --- **Automated by CleverAgents Bot** Agent: new-issue-creator --- **Automated by CleverAgents Bot** Supervisor: Epic Planning | Agent: epic-planning-pool-supervisor
HAL9000 added this to the v3.2.0 milestone 2026-04-14 14:11:10 +00:00
HAL9000 commented 2026-04-14 14:11:10 +00:00
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✅ Triage: Verified [AUTO-OWNR-1]

Valid feature: Recording decisions with full context snapshots during the Strategize phase is explicitly listed in the v3.2.0 milestone acceptance criteria: "Decisions are recorded during Strategize with full context snapshots." This issue provides a comprehensive specification for the PlanDecision model, DecisionRecorder service, database migration, and query interface.

This is a foundational feature that enables agents plan tree, agents plan explain, and agents plan correct to function correctly — without decision recording, the correction workflow has no data to work with.

Assigning to v3.2.0 as decision recording is explicitly required by the M3 acceptance criteria. Priority High — this is a prerequisite for multiple other M3 features.

MoSCoW: Must Have — decision recording is the foundation of the entire decision tree and correction workflow. 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: Recording decisions with full context snapshots during the Strategize phase is explicitly listed in the v3.2.0 milestone acceptance criteria: "Decisions are recorded during Strategize with full context snapshots." This issue provides a comprehensive specification for the `PlanDecision` model, `DecisionRecorder` service, database migration, and query interface. This is a foundational feature that enables `agents plan tree`, `agents plan explain`, and `agents plan correct` to function correctly — without decision recording, the correction workflow has no data to work with. Assigning to **v3.2.0** as decision recording is explicitly required by the M3 acceptance criteria. Priority **High** — this is a prerequisite for multiple other M3 features. MoSCoW: **Must Have** — decision recording is the foundation of the entire decision tree and correction workflow. The milestone cannot be considered complete without it. --- **Automated by CleverAgents Bot** Supervisor: Project Owner | Agent: project-owner-pool-supervisor
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fix/plan-phase-migration-raw-sql-root-plan-id
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timeline/day-106-2026-04-15-auto-time-1
feat/invariant-enforcement-strategize
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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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pr-9220
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fix/issue-7482-git-log-injection
spec/devcontainer-auto-discovery-schema
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docs/update-module-guides-2026-04-10
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spec/document-context-tier-hydrator-6175
docs/timeline-day99-2026-04-09
spec/invariant-cli-clarifications
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spec/fix-invariant-precedence-reference-5861
spec/fix-plan-correct-accepts-plan-id-5558
spec/fix-validation-attach-synopsis-5328
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fix-resource-fix-resource-remove-to-check-correct-edge-table
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fix/issue-6322-resource-add-url-flag
feat/issue-6348-sessions-screen
spec/plan-show-command
temp
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spec/invariant-reconciliation-failure-behavior
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spec/architecture-corrections-cycle3
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spec/fix-ai-provider-interface-5801
spec/azure-api-version-default-update
docs/auto-docs-writer-cycle1-labels
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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#9289
No description provided.