276 lines
10 KiB
Markdown
276 lines
10 KiB
Markdown
# Ralpi
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Execute tasks from task files until done using DAG-based dependency resolution with persistent progress tracking.
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```bash
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pi install npm:@mikefreno/ralpi
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```
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## Features
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- **DAG-based execution**: Tasks ordered via dependencies (arrow notation, natural language, "must be done before", or YAML)
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- **Parallel batching**: Independent tasks in each batch run concurrently, round-robin across configured models
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- **Persistent progress**: Execution state saved to `.ralpi/progress.json`, supporting multiple PRDs simultaneously
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- **Resume & auto-resume**: `/ralpi-resume` continues paused execution; a session reload mid-loop auto-resumes via `.ralpi/loop-active.json`
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- **Reflection system**: Each task produces a reflection for downstream tasks
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- **Phased plans**: `## Phase N — Title` sections add implicit phase-boundary dependencies
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- **Model failover**: Unreachable providers cycle to the next model in the list before a task fails
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- **Auto-commit / auto-review loop**: Optional per-task commit and review-gated re-execution until pass
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- **Worktree isolation**: Parallel tasks run in separate git worktrees so they can't stomp each other, with batch-level merge-conflict resolution
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- **Multiple formats**: Fio README (numbered + dependencies), phased, simple checkboxes, and YAML
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- **Tool usage tracking**: Reports read/write/edit/bash usage from task execution
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- **Configurable timeouts**: Task-level timeouts (inline, meta block, or YAML) with global fallback
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## Usage
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```
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/ralpi [task-file] # No args → show plan for README.md; path arg → run tasks
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/ralpi-run [task-file] # Execute tasks from a task file
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/ralpi-plan [prompt] # Open the Task Manager to plan tasks
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/ralpi-resume [task-file] # Resume paused/interrupted execution
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/ralpi-reset [task-file] # Reset execution progress — does not modify the PRD
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```
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`/ralpi` with no arguments shows the execution plan for the default task file. When the first token looks like a path (`@path`, `./path`, `path/file.md`, `.yaml`, etc.) it routes to `/ralpi-run`. Everything else is handled by the dedicated dash commands above (the old `/ralpi plan|resume|reset` subcommand syntax is gone).
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> The task-manager prompt (`/ralpi-plan`) pairs perfectly with ralpi's task file formats — use it for PRD construction.
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## Tasks
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### Simple Checkbox Format
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```markdown
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- [ ] Setup project structure
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- [ ] Implement auth
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- [ ] Build API
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```
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Checkbox-only files get sequential IDs (`01`, `02`, ...). Status characters: `[ ]` pending, `[x]` done, `[~]` in progress, `[!]` failed, `[-]` skipped.
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### Fio Format (numbered tasks + dependencies)
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```markdown
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# Build a web application
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## Tasks
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- [ ] 01 — Setup project structure
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- [ ] 02 — Implement auth
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- [ ] 03 — Build API
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## Dependencies
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01 -> 02, 03
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```
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### YAML Format
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```yaml
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objective: Build a web application
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tasks:
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- id: "01"
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title: Setup project structure
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file: tasks/01-setup.md
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dependencies: []
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- id: "02"
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title: Implement auth
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file: tasks/02-auth.md
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depends_on: ["01"]
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```
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## Task IDs
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Task IDs are zero-padded 2-digit strings (`01`, `02`, ...) with an optional
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single lowercase letter suffix for sub-tasks inserted between two numbered
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steps (e.g. `02b`, `02c`). The parser normalizes `2b` → `02b`.
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```
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- [ ] 01 — Setup
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- [ ] 02 — Fix bugs
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- [ ] 02b — Sub-step of 02 (inserted after the fact)
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- [ ] 02c — Another sub-step of 02
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- [ ] 03 — Continue
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```
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Use lettered sub-tasks when you discover mid-stream that a step needs to be
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split. They let you preserve sibling numbering (`01`, `02`, `03`, ...) while
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adding granularity between two existing steps.
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## Phases
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`## Phase N — Title` headings group tasks into phases and add an implicit
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dependency from the first task of each phase to the last task of the
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previous one, so phases always run in order:
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```markdown
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## Phase 1 — Push-to-Talk MVP
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- [ ] 01 — Voice capture
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- [ ] 02 — Transmission
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## Phase 2 — Group Chat
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- [ ] 03 — Channels
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- [ ] 04 — Presence
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```
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## Dependencies
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Dependency lines live in a `## Dependencies` section (or a plain
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`Dependencies` heading). Multiple formats are supported and can be mixed.
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### Arrow Notation (recommended)
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```
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1 -> 2,3,4
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5 -> 6
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```
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"Task 1 must complete before tasks 2, 3, and 4 can start." Also supports
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chains (`03 -> 04 -> 05`) and multi-prereq sources (`05, 07, 08 -> 13`).
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### Natural Language
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```
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13 depends on 17, 18, 19, 20
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14 depends on 13, 15, 16
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22, 23, 24 depend on 21
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```
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"Task 13 depends on tasks 17, 18, 19, and 20." `also depends on` is accepted.
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### "must be done before"
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```
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21 must be done before 22, 23, 24
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02, 03 must be done before 04
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```
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### Parallel Groups
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```
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1, 2, 3, 4 can be done in parallel (Play Store prep)
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5, 6, 7, 8 can be done in parallel
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```
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Tasks listed in a parallel group are allowed to run concurrently. Group
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declarations imply no cross-group dependencies, and intra-group
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dependencies are still respected — group-aware batching produces a plan
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where tasks from any group run as soon as their dependencies are
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satisfied.
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## Configuration
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### Task-Level Timeout
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Timeouts can be set inline on the task line, as an inline comment, via a
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meta block in the Dependencies section, or in YAML:
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```markdown
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- [ ] 01 — Setup project structure timeout: 10m
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- [ ] 02 — Implement auth # timeout=30s
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```
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```markdown
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## Dependencies
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01 -> 02
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01 [timeout] = 10m
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```
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```yaml
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tasks:
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- id: "01"
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title: Setup project structure
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timeout: 15m
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```
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Supported units: `m` / `min` (minutes), `s` (seconds), `ms` (milliseconds).
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Bare numbers default to minutes; in YAML, numeric values ≥ 1000 are treated
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as milliseconds.
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### Config files
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| Scope | Path |
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|-------|------|
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| **Global** | `~/.pi/ralpi/config.yaml` |
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| **Project** | `./.ralpi/config.yaml` |
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Project config overrides global, which overrides defaults. Keys set
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explicitly in YAML skip the corresponding loop-startup prompt.
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```yaml
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execution:
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maxParallel: 3 # ralpi-level concurrency only (0 = unlimited)
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models: # round-robin for parallel tasks, <provider>/<model>
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- anthropic/claude-sonnet-4
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- openai/gpt-4o
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autoCommit: true # commit after each task (mandated when autoReview is on)
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autoReview: false # commit → review → loop on fail → merge on pass
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saveReviews: false # persist full review output to .ralpi/reviews/ (only with autoReview)
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maxReviewRetries: 2 # re-executions on a 'fail' verdict before giving up
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reviewBlockOnFail: false # true = mark task failed after retries exhausted instead of merging
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implModel: "" # model for task impl (empty = inherit parent session model)
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commitModel: "" # model for commit sessions (empty = inherit task model)
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reviewModel: "" # model for review sessions (empty = inherit task model)
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timeoutMs: 0 # per-task timeout in ms (0 = inherit Pi's defaults)
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commitTimeoutMs: 0 # timeout for auto-commit agent sessions (0 = inherit)
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reviewTimeoutMs: 0 # timeout for auto-review agent sessions (0 = inherit)
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loopTimeoutMs: 0 # max total loop duration in ms (0 = no limit; checked between batches)
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worktrees: parallel # "never" | "parallel" (default) | "always" — git worktree isolation
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prompts:
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projectContext: "Additional context for all tasks"
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reflectionPrompt: "" # custom suffix for reflection extraction
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```
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> `execution.models` uses slot-aware round-robin: with 3 models and 2 concurrent
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> tasks, only the first two models are used. The third model is only touched when
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> a third concurrent task starts. Freed model slots are reused before new ones
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> are allocated.
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> **Automatic failover**: if a provider/API is unreachable (rate limit, 503, etc.),
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> the task automatically cycles to the next model in the list without counting it
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> as a task failure. Each model is tried once before the task is marked as failed.
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> **NOTE**: model lists are only used in parallel execution. In sequential mode
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> (or parallel mode with no `models` list) the parent pi session's model is used,
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> unless `implModel` is set.
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#### Auto-review and Auto-commit
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At loop startup the review question is asked FIRST. When `autoReview` is
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enabled, commit is **mandated** — after task execution, changes are
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committed (via a commit agent session when the task agent didn't
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self-commit), then the complete task diff (`baseRef..HEAD`) is reviewed
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against the task description. On a `fail` verdict the task is
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re-executed with the review feedback injected into the prompt (looping
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until the review passes or `maxReviewRetries` is exhausted). After
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re-execution, changes are committed again and the full diff is
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re-reviewed with the same base ref so the reviewer sees the complete
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state — original work plus fixes. On pass, the changes are already
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committed and the worktree merges.
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When `autoReview` is disabled, `autoCommit` runs a follow-up commit
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agent after each task with no review. With `autoReview` on, the user is
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also asked whether to persist full review output to
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`.ralpi/reviews/<prdKey>/<task-id>.json` (`saveReviews` — this is what
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enables review feedback recovery when resuming interrupted loops). Both
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options can be overridden at loop startup via a selection prompt (config
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YAML values are honored without prompting when set explicitly).
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`commitModel` and `reviewModel` accept `<provider>/<model>` strings (e.g.
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`anthropic/claude-sonnet-4`) resolved via the model registry. When empty, the
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task's model is inherited. `implModel` sets the model for task implementation
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(used whenever no round-robin model is assigned — sequential mode, or parallel
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mode with an empty `models` list; overridden by `execution.models` round-robin
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in parallel mode).
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## State Files
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```
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.ralpi/progress.json # Execution progress (supports multiple PRDs)
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.ralpi/loop-active.json # Active-loop marker used for auto-resume after a reload
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.ralpi/reflections/ # Per-task reflections
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.ralpi/reviews/<prdKey>/ # Full review output (when saveReviews is on)
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.ralpi/prompts/ # Generated prompts (timestamped, for debugging)
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.ralpi/config.yaml # Project-level config (optional)
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```
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