# Implementation Plan: AI-Assisted Rename Prompting **Branch**: `008-ai-rename-prompt` | **Date**: 2025-11-03 | **Spec**: `specs/008-ai-rename-prompt/spec.md` **Input**: Feature specification from `/specs/008-ai-rename-prompt/spec.md` **Note**: This template is filled in by the `/speckit.plan` command. See `.specify/templates/commands/plan.md` for the execution workflow. ## Summary Introduce a `renamer ai` command that embeds a Google Genkit (Go SDK) workflow inside the CLI execution path. The command collects scope metadata, calls the Genkit pipeline in-process (defaulting to an OpenAI-compatible model), validates the response for sequential, uniform, sanitized filenames, allows operator edits, and records final mappings in the undo ledger while managing `*_MODEL_AUTH_TOKEN` secrets under `$HOME/.config/.renamer/`. ## Technical Context **Language/Version**: Go 1.24 (CLI + Google Genkit Go SDK) **Primary Dependencies**: `spf13/cobra`, internal traversal/history/output packages, `github.com/google/genkit/go` (with OpenAI-compatible connectors), OpenAI-compatible HTTP client for fallbacks **Storage**: Local filesystem plus `.renamer` append-only ledger; auth tokens cached under `$HOME/.config/.renamer/` **Testing**: `go test ./...` for CLI logic, `npm test` (Vitest) for Genkit prompt workflows, contract/integration suites under `tests/` **Target Platform**: Cross-platform CLI (macOS, Linux, Windows shells) executing in-process Genkit workflows **Project Type**: Single CLI project with integrated Go Genkit module **Performance Goals**: Generate validated rename plan for up to 1,000 files in ≤ 30 seconds round-trip **Constraints**: Genkit workflow must initialize quickly per invocation; AI requests limited to 2 MB payload; ensure user-provided banned terms removed **Scale/Scope**: Typical batches 1–1,000 files; shared Genkit pipeline available for future AI features ## Constitution Check - Preview flow continues to render deterministic before/after tables and block apply until confirmed, satisfying Preview-First Safety. - Undo path records final mappings plus AI prompt/response metadata in `.renamer`, preserving Persistent Undo Ledger guarantees. - AI rename integration becomes a composable rule module (`internal/ai`) that declares inputs (prompt spec), validations, and postconditions while orchestrating the Go Genkit workflow inline, aligning with Composable Rule Engine. - Scope handling reuses existing traversal services (`internal/traversal`) so filters (`--path`, `-r`, `-d`, `--extensions`) remain enforced per Scope-Aware Traversal. - Cobra wiring (`cmd/ai.go`) follows existing CLI standards with help text, flag validation, tests, meeting Ergonomic CLI Stewardship. ## Project Structure ### Documentation (this feature) ```text specs/008-ai-rename-prompt/ ├── plan.md ├── research.md ├── data-model.md ├── quickstart.md ├── contracts/ └── tasks.md ``` ### Source Code (repository root) ```text cmd/ ├── ai.go # Genkit-powered command wiring ├── root.go internal/ ├── ai/ │ ├── prompt/ # Prompt assembly, policy enforcement │ ├── genkit/ # Go Genkit workflow definitions and model connectors │ └── plan/ # Response validation & editing utilities ├── history/ ├── output/ ├── traversal/ └── sequence/ tests/ ├── contract/ ├── integration/ └── unit/ ``` tests/ ├── contract/ ├── integration/ └── unit/ **Structure Decision**: Extend existing CLI layout by adding an `internal/ai` package that houses Go Genkit workflows invoked directly from `cmd/ai.go`; existing test directories cover the new command with contract/integration suites. ## Complexity Tracking | Violation | Why Needed | Simpler Alternative Rejected Because | |-----------|------------|--------------------------------------| | Direct Go Genkit integration | First-class Go SDK keeps execution inline and satisfies CLI-only requirement | Manual REST integration would lose Genkit workflows (retriers, evaluators) and require bespoke prompt templating |