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M02 Plan — API CI Truthfulness & Local Dev Guardrails

Milestone: M02
Title: API CI truthfulness, local dev guardrails, repeatable verification
Branch: m02-api-ci-truthfulness
Status: Completed
Depends on: M01 (complete)

1. Intent / Target

M01 achieved deterministic CI with dynamic stub repositories and verified server startup, but API endpoints requiring model inference still return HTTP 500, preventing full CI pass and blocking coverage enforcement.

M02 resolves this by:

Implementing deterministic fake inference in CI
Ensuring API contract tests pass
Re-enabling coverage gate enforcement
Introducing developer guardrails for repeatable local verification

The milestone ensures the API surface is testable without requiring a real model while preserving runtime behavior outside CI.

2. Scope Boundaries

In scope

CI-only fake inference for txt2img and img2img
Deterministic API response satisfying contract tests
Coverage gate restoration
CONTRIBUTING documentation for deterministic local runs
Repeatable verification workflow

Explicitly out of scope

Real Stable Diffusion inference
Model loading changes
Refactoring generation pipeline
Runtime architecture changes
Extension system changes

Those belong to later runtime seam milestones.

3. Invariants

The following Serena invariants must remain unchanged:

Invariant	Verification
API response schema unchanged	API tests
Generation semantics preserved	E2E smoke
Extension API compatibility	Extension loading
CLI behavior unchanged	Smoke tests
No CI weakening	checks remain enforced

4. Implementation

Step 1 — Add CI fake inference helper

Create modules/api/ci_fake_inference.py:

from modules.api import models

_FAKE_PNG = (
    "iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mP8/x8AAwMCAO5vX8cAAAAASUVORK5CYII="
)

def ci_fake_txt2img():
    return models.TextToImageResponse(
        images=[_FAKE_PNG],
        parameters={},
        info="ci-fake-image"
    )

def ci_fake_img2img():
    return models.ImageToImageResponse(
        images=[_FAKE_PNG],
        parameters={},
        info="ci-fake-image"
    )

Step 2 — Patch API endpoints

Modify modules/api/api.py:

Add: import os and from modules.api.ci_fake_inference import ci_fake_txt2img, ci_fake_img2img

In text2imgapi: add guard at start (before any model loading):

if os.getenv("CI") == "true":
    return ci_fake_txt2img()

In img2imgapi: add guard at start (before init_images check):

if os.getenv("CI") == "true":
    return ci_fake_img2img()

GitHub Actions sets CI=true by default; no workflow change required.

Step 3 — Re-enable coverage enforcement

Coverage gate enforced on combined (pytest + server) coverage. Baseline 33% (current − 2% margin); target 60% deferred to M04.

Step 4 — Add CONTRIBUTING.md

Structure: Quickstart, Local verification, CI parity, Stub repositories, Development workflow.

Reference existing scripts (e.g. scripts/dev/create_stub_repos.py); do not duplicate documentation.

5. Definition of Done

CI linter passes
CI tests pass (35/35)
Coverage gate enforced
API responses validated
Milestone documentation created (M02_run1.md, M02_summary.md, M02_audit.md)
Ledger updated in docs/serena.md

6. Deliverables

Code

modules/api/ci_fake_inference.py
modules/api/api.py (CI guards)
CONTRIBUTING.md

Documentation

docs/milestones/M02/M02_plan.md (this file)
docs/milestones/M02/M02_run1.md
docs/milestones/M02/M02_summary.md
docs/milestones/M02/M02_audit.md

Ledger

docs/serena.md — add M02 entry

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