# KORA Studio v0.3 Goal Report

## Status

KORA Studio v0.3 completed the live local harness milestone. The preview now moves beyond static fixture-only display by generating local deterministic harness requests, events, counters, comparison output, and report summary metadata while keeping all provider, cloud, model download, and real model execution paths disabled.

## Repository State

- Repository: `https://github.com/Krako-Labs/KORA`
- Branch: `main`
- Public truth: `origin/main`
- v0.3 base public HEAD: `7f9bf50e8e396535363f955f76113c1ca43bd583`
- Final implementation HEAD before this report commit: `2fa0a310aa66dc1c698b6f612a49ffd52ca55170`

## Completed Tasks

| Task | Commit | Summary |
| --- | --- | --- |
| Task 424 | `ed29627` | Added the KORA Studio v0.3 live harness plan. |
| Task 425 | `278f2f4` | Added local deterministic harness requests and sample JSON fixture. |
| Task 426 | `467dd86` | Added local harness event builder and counters. |
| Task 427 | `e75f116` | Exposed local harness request set, sample run, counters, and claim boundary through `/status`. |
| Task 428 | `0d7f22f` | Added Local Harness Preview panel to the static preview UI. |
| Task 429 | `9227fb6` | Added local harness-generated Standard Mode vs KORA Boost comparison. |
| Task 430 | `ebced67` | Connected report placeholder to local harness summary metadata. |
| Task 431 | `2fa0a31` | Extended the local preview smoke check for local harness surfaces. |
| Task 432 | report commit | Added v0.3 readiness and consolidated goal reports. |

## Files and Artifacts Added

- `docs/kora-studio/kora-studio-v0-3-live-harness-plan.md`
- `docs/kora-studio/kora-studio-v0-3-readiness-report.md`
- `docs/kora-studio/kora-studio-v0-3-goal-report.md`
- `docs/kora-studio/fixtures/local-harness-requests.sample.json`
- `kora/studio_harness_requests.py`
- `kora/studio_harness_events.py`
- `kora/studio_harness_comparison.py`
- `tests/test_kora_studio_harness_requests.py`
- `tests/test_kora_studio_harness_events.py`
- `tests/test_kora_studio_harness_comparison.py`

## Product Surfaces Now Covered

- local harness status
- approved local deterministic request set
- generated harness event stages
- generated counters
- model-needed boundary without execution
- `/status` local harness sample run
- Local Harness Preview UI panel
- local harness-generated Standard Mode vs KORA Boost comparison
- report viewer placeholder sourced from local harness summary metadata
- smoke-check verification for harness, comparison, and report source surfaces

## Validation Summary

Validated commands:

- `git diff --check`: passed
- `python3 -m pytest`: `223 passed`
- `python3 -m pytest tests -k "studio or sse or execution or harness"`: `85 passed, 138 deselected`
- `python3 scripts/check_kora_studio_preview.py` against a live local preview: passed for `/health`, `/status`, and `/`

## Claim Boundaries

- v0.3 is a local preview/demo readiness milestone, not a production release.
- Execution data is local deterministic harness data or fixture/mock data until live runtime wiring is implemented.
- Model-needed boundaries do not execute models.
- Provider calls are disabled by default.
- Cloud sync is disabled by default.
- Download and run actions remain disabled.
- No model is downloaded.
- No model is executed.
- No private model directories are scanned.
- No runtime model list commands are called.
- Report viewer/export remains placeholder behavior.
- No production cost reduction is claimed.
- No energy outcome is claimed.
- No unsupported larger-model execution is claimed.
- KORA Studio is not an LM Studio replacement.

## Known Limitations

- The local harness sample run is exposed through `/status`; no POST run endpoint is connected yet.
- SSE streaming is not connected yet.
- Runtime service reachability remains scaffolded.
- Installed model detection remains disabled/not connected by default.
- Report export is still disabled and does not write files.
- Comparison metrics are local deterministic harness output, not production evidence.

## Recommended Next Goal

KORA Studio v0.4 should implement a safe local run trigger and optional event-stream scaffold for approved deterministic sample requests, with no provider calls, no model downloads, no real model execution, no private directory scans, and no unsupported product claims.
