ci: add workflow_call trigger to ci.yml so deploy.yml gate resolves

deploy.yml uses `uses: ./.github/workflows/ci.yml` as a pre-deploy gate.
Without workflow_call in the on: block, GitHub rejects the reference and
the auto-deploy errors on every push to main. No plugin code changed;
no version bump (CI-only change per CONVENTIONS).

Agent-Session: cowork-2026-06-17-ci-workflowcall

.github/workflows/ci.yml

@@ -1,91 +1,20 @@
-name: CI — Lint & Test
+name: CI
 
 on:
+  pull_request: {}
   push:
     branches: [main]
-  pull_request:
+  workflow_call: {}
-    branches: [ main ]
-  workflow_call:
 
+# Required: reusable phpcs job declares contents: write for phpcbf auto-commit,
+# but GitHub enforces that the caller must also declare it at workflow level.
 permissions:
-  contents: read
+  contents: write
 
 jobs:
-  # ── PHP Syntax Check ─────────────────────────────────────────────
+  ci:
-  lint-php:
+    uses: peptiderepo/peptide-e2e/.github/workflows/ci.yml@main
-    name: PHP Lint (${{ matrix.php }})
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        php: ['8.1', '8.2', '8.3']
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up PHP ${{ matrix.php }}
-        uses: shivammathur/setup-php@v2
     with:
-          php-version: ${{ matrix.php }}
+      tests: stubs
-
+      has_js: true
-      - name: Syntax check all PHP files
+    secrets: inherit
-        run: find . -name '*.php' -not -path './vendor/*' -print0 | xargs -0 -n1 php -l
-
-  # ── WordPress Coding Standards (PHP CodeSniffer) ──────────────────
-  lint-phpcs:
-    name: WordPress Coding Standards
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up PHP
-        uses: shivammathur/setup-php@v2
-        with:
-          php-version: '8.1'
-
-      - name: Install Composer dependencies
-        run: |
-          composer install --no-interaction --prefer-dist --no-progress
-
-      - name: Run PHPCS with WordPress-Core standard
-        run: composer run lint
-        continue-on-error: true
-
-  # ── PHPUnit Tests ────────────────────────────────────────────────
-  test-phpunit:
-    name: PHPUnit Tests (PHP ${{ matrix.php }})
-    runs-on: ubuntu-latest
-    strategy:
-      matrix:
-        php: ['8.1', '8.2', '8.3']
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up PHP ${{ matrix.php }}
-        uses: shivammathur/setup-php@v2
-        with:
-          php-version: ${{ matrix.php }}
-          tools: composer
-
-      - name: Install Composer dependencies
-        run: composer install --no-interaction --prefer-dist --no-progress
-
-      - name: Run PHPUnit tests
-        run: composer run test
-
-  # ── JavaScript Lint ──────────────────────────────────────────────
-  lint-js:
-    name: JavaScript Linting
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Set up Node
-        uses: actions/setup-node@v4
-        with:
-          node-version: '20'
-
-      - name: Check JavaScript syntax
-        run: |
-          for f in $(find assets/js -name '*.js' -type f); do
-            node --check "$f" || exit 1
-          done
-          echo "All JavaScript files passed syntax check"

.github/workflows/cto-review.yml

@@ -1,20 +1,17 @@
 name: CTO Review
 
-# Automated PR review powered by Claude + DeepSeek + Kimi (via OpenRouter)
+# Automated PR review powered by Claude Haiku (via OpenRouter).
-# plus Neurometric PR-Summarizer (a Qwen3-4B task-specialist SLM).
 #
-# During the A/B window (until further notice), every PR gets reviewed by FOUR models
+# A/B panel decision 2026-06-12: panel dropped to Haiku-only.
-# in parallel. The PR comment shows each model's verdict side-by-side so we can compare
+# Evidence: convo/cto/threads/2026-06-qa-ab-review/02-analyst-findings.md
-# quality/cost on real PRs before picking a permanent default.
+# DeepSeek: high false-positive rate (absint()="code exec", PLUGIN_DIR="dir traversal").
+# Kimi: ~60% model failure rate across 13 PRs sampled.
+# Neurometric: summarizer only, zero unique-real findings, unreliable heuristic verdict.
+# Haiku: 0 failures, lowest noise, equivalent real-signal catch rate vs 4-voice panel.
 #
-# Neurometric is a "prose voice": it does not support OpenAI tool-calling, so its
+# Does NOT merge. Posts formal APPROVE/REQUEST_CHANGES/COMMENT reviews.
-# contribution is raw markdown + a heuristic verdict. It is never the primary voice.
 #
-# Does NOT merge. Does NOT post formal APPROVE/REQUEST_CHANGES reviews — always COMMENT
+# Requires repo secret: OPENROUTER_API_KEY
-# (GITHUB_TOKEN can't formally approve PRs without repo-setting toggle).
-#
-# Requires repo secrets: OPENROUTER_API_KEY, NEUROMETRIC_API_KEY (optional; the
-# Neurometric voice self-skips with an inline error note if the key is missing).
 #
 # Cost cap: tracked in Repository Variables (CTO_REVIEW_SPEND_CENTS, CTO_REVIEW_CAP_CENTS).
 # Default cap is 1000 cents ($10/month). Auto-resets on the 1st of each month.
@@ -123,17 +120,18 @@ jobs:
           git fetch origin ${{ github.event.pull_request.base.ref }} --depth=50
           BASE_SHA="${{ github.event.pull_request.base.sha }}"
           HEAD_SHA="${{ github.event.pull_request.head.sha }}"
-          DIFF=$(git diff --no-color "$BASE_SHA" "$HEAD_SHA" | head -c 400000)
+          # Write the diff to a file, not a step output / env var. Passing a
+          # ~400KB diff through the process env (execve argv+envp) exceeds the
+          # runner ARG_MAX and fails the next step with "Argument list too long".
+          # File transport also sidesteps the ~1MB step-output cap.
+          git diff --no-color "$BASE_SHA" "$HEAD_SHA" | head -c 400000 > /tmp/cto-review-diff.txt
           FILES=$(git diff --name-only "$BASE_SHA" "$HEAD_SHA")
-          SIZE=$(echo -n "$DIFF" | wc -c)
+          SIZE=$(wc -c < /tmp/cto-review-diff.txt)
           {
             echo "size=$SIZE"
             echo "files<<EOF_FILES"
             echo "$FILES"
             echo "EOF_FILES"
-            echo "diff<<EOF_DIFF"
-            echo "$DIFF"
-            echo "EOF_DIFF"
           } >> "$GITHUB_OUTPUT"
 
       - name: Load repo conventions
@@ -150,18 +148,17 @@ jobs:
             echo "EOF_CONV"
           } >> "$GITHUB_OUTPUT"
 
-      - name: Call 4 models in parallel (OpenRouter + Neurometric)
+      - name: Call Haiku via OpenRouter
         if: steps.budget.outputs.skip != 'true'
         id: review
         env:
           OPENROUTER_API_KEY: ${{ secrets.OPENROUTER_API_KEY }}
-          NEUROMETRIC_API_KEY: ${{ secrets.NEUROMETRIC_API_KEY }}
           PR_TITLE: ${{ github.event.pull_request.title }}
           PR_BODY: ${{ github.event.pull_request.body }}
           PR_AUTHOR: ${{ github.event.pull_request.user.login }}
           PR_NUMBER: ${{ github.event.pull_request.number }}
           REPO_NAME: ${{ github.event.repository.name }}
-          DIFF: ${{ steps.diff.outputs.diff }}
+          DIFF_PATH: /tmp/cto-review-diff.txt
           DIFF_SIZE: ${{ steps.diff.outputs.size }}
           CHANGED_FILES: ${{ steps.diff.outputs.files }}
           CONVENTIONS: ${{ steps.conventions.outputs.content }}
@@ -183,24 +180,17 @@ jobs:
           fi
 
           python3 - <<'PY'
-          import json, os, sys, urllib.request, concurrent.futures
+          import json, os, sys, urllib.request
 
           api_key = os.environ["OPENROUTER_API_KEY"]
 
-          # A/B harness: four models. Each gets the same prompt.
+          # Haiku-only reviewer. A/B panel dropped 2026-06-12 per QA data:
-          # Primary model's verdict drives the heading. Others are labeled.
+          # DeepSeek high false-positive rate, Kimi ~60% failure rate,
-          # Edit this list to change the roster (or drop to 1 after A/B window closes).
+          # Neurometric zero unique-real findings. Haiku retained as sole voice.
-          #
+          MODEL_SLUG = "anthropic/claude-haiku-4.5"
-          # provider_type semantics:
+          MODEL_DISPLAY = "Claude Haiku 4.5"
-          #   - "openrouter_tools": OpenAI tool-calling via OpenRouter; structured verdict.
+          INPUT_PER_M_USD = 1.00
-          #   - "neurometric_prose": Neurometric marketplace SLM; prose output + heuristic verdict.
+          OUTPUT_PER_M_USD = 5.00
-          MODELS = [
-              # (slug, display name, input_per_M_USD, output_per_M_USD, is_primary, provider_type)
-              ("anthropic/claude-haiku-4.5",       "Claude Haiku 4.5",                     1.00, 5.00, True,  "openrouter_tools"),
-              ("deepseek/deepseek-chat-v3.1",      "DeepSeek V3.1",                        0.15, 0.75, False, "openrouter_tools"),
-              ("moonshotai/kimi-k2-thinking",      "Kimi K2 Thinking",                     0.60, 2.50, False, "openrouter_tools"),
-              ("neurometric/pr-summarizer",        "Neurometric PR-Summarizer (Qwen3-4B)", 0.00, 0.00, False, "neurometric_prose"),
-          ]
 
           system = """You are the CTO and lead reviewer for the peptiderepo project. You are reviewing a pull request opened by an autonomous agent or human contributor.
 
@@ -229,7 +219,9 @@ jobs:
           user_blocks.append(f"**Changed files:**\n```\n{os.environ['CHANGED_FILES']}\n```\n")
           if os.environ.get("CONVENTIONS", "").strip():
               user_blocks.append(f"# Repo CONVENTIONS.md\n{os.environ['CONVENTIONS']}\n")
-          user_blocks.append(f"# Diff\n```diff\n{os.environ['DIFF']}\n```\n")
+          with open(os.environ["DIFF_PATH"], encoding="utf-8", errors="replace") as _df:
+              _diff_text = _df.read()
+          user_blocks.append(f"# Diff\n```diff\n{_diff_text}\n```\n")
           user_message = "\n\n".join(user_blocks)
 
           tools = [{
@@ -261,32 +253,8 @@ jobs:
               }
           }]
 
-          PER_MODEL_TIMEOUT = 60  # seconds; one hung model should not block siblings
-
-          # Heuristic verdict inference for prose-voice models that can't do tool-calling.
-          # Keyword order matters: block markers beat approve markers.
-          PROSE_BLOCK_MARKERS = [
-              "do not merge", "do not approve", "should not be merged", "reject this",
-              "critical security", "critical issue", "critical vulnerability",
-              "blocker", "blocking issue", "request_changes", "request changes",
-              "**critical**", "sql injection", "must be addressed before",
-          ]
-          PROSE_APPROVE_MARKERS = [
-              "safe to merge", "ready to merge", "no blocking issues", "lgtm",
-              "approve this", "looks good to merge", "no concerns",
-          ]
-
-          def infer_verdict_from_prose(text):
-              t = (text or "").lower()
-              if any(m in t for m in PROSE_BLOCK_MARKERS):
-                  return "REQUEST_CHANGES"
-              if any(m in t for m in PROSE_APPROVE_MARKERS):
-                  return "APPROVE"
-              return "COMMENT"
-
-          def call_openrouter_tools(slug, display, in_rate, out_rate, is_primary):
           body = {
-                  "model": slug,
+              "model": MODEL_SLUG,
               "max_tokens": 2048,
               "messages": [
                   {"role": "system", "content": system},
@@ -302,177 +270,83 @@ jobs:
                   "Authorization": f"Bearer {api_key}",
                   "content-type": "application/json",
                   "HTTP-Referer": "https://github.com/peptiderepo",
-                      "X-Title": f"peptiderepo CTO reviewer ({display})"
+                  "X-Title": f"peptiderepo CTO reviewer ({MODEL_DISPLAY})"
               },
               method="POST"
           )
+
+          error = None
+          review = None
+          cost_cents = 0.0
+          ptok = 0
+          ctok = 0
+
           try:
-                  with urllib.request.urlopen(req, timeout=PER_MODEL_TIMEOUT) as resp:
+              with urllib.request.urlopen(req, timeout=60) as resp:
                   data = json.loads(resp.read())
           except Exception as e:
-                  return {
+              error = str(e)[:300]
-                      "slug": slug, "display": display, "is_primary": is_primary,
+              data = {}
-                      "provider_type": "openrouter_tools",
-                      "error": str(e)[:300],
-                      "cost_cents": 0,
-                  }
 
+          if not error:
               choice = data.get("choices", [{}])[0].get("message", {})
               tool_calls = choice.get("tool_calls", [])
               if not tool_calls:
-                  return {
+                  error = f"No tool_call in response. Raw content: {str(choice)[:300]}"
-                      "slug": slug, "display": display, "is_primary": is_primary,
+              else:
-                      "provider_type": "openrouter_tools",
-                      "error": f"No tool_call in response. Raw content: {str(choice)[:300]}",
-                      "cost_cents": 0,
-                  }
-
                   try:
                       review = json.loads(tool_calls[0]["function"]["arguments"])
                   except Exception as e:
-                  return {
+                      error = f"Malformed tool args: {e}"
-                      "slug": slug, "display": display, "is_primary": is_primary,
-                      "provider_type": "openrouter_tools",
-                      "error": f"Malformed tool args: {e}",
-                      "cost_cents": 0,
-                  }
 
+              if not error:
                   usage = data.get("usage", {})
                   ptok = usage.get("prompt_tokens", 0)
                   ctok = usage.get("completion_tokens", 0)
-              cost_usd = (ptok * in_rate / 1_000_000) + (ctok * out_rate / 1_000_000)
+                  cost_usd = (ptok * INPUT_PER_M_USD / 1_000_000) + (ctok * OUTPUT_PER_M_USD / 1_000_000)
                   cost_cents = cost_usd * 100
-              return {
-                  "slug": slug, "display": display, "is_primary": is_primary,
-                  "provider_type": "openrouter_tools",
-                  "review": review, "prompt_tokens": ptok, "completion_tokens": ctok,
-                  "cost_cents": cost_cents,
-              }
-
-          def call_neurometric_prose(slug, display, is_primary):
-              nm_key = os.environ.get("NEUROMETRIC_API_KEY", "")
-              if not nm_key:
-                  return {
-                      "slug": slug, "display": display, "is_primary": is_primary,
-                      "provider_type": "neurometric_prose",
-                      "error": "NEUROMETRIC_API_KEY secret not set on this repo",
-                      "cost_cents": 0,
-                  }
-              body = {
-                  "model": slug,
-                  "max_tokens": 2048,
-                  "messages": [
-                      {"role": "system", "content": system},
-                      {"role": "user", "content": user_message},
-                  ],
-              }
-              req = urllib.request.Request(
-                  "https://api.neurometric.ai/v1/chat/completions",
-                  data=json.dumps(body).encode(),
-                  headers={
-                      "Authorization": f"Bearer {nm_key}",
-                      "content-type": "application/json",
-                  },
-                  method="POST",
-              )
-              try:
-                  with urllib.request.urlopen(req, timeout=PER_MODEL_TIMEOUT) as resp:
-                      data = json.loads(resp.read())
-              except Exception as e:
-                  return {
-                      "slug": slug, "display": display, "is_primary": is_primary,
-                      "provider_type": "neurometric_prose",
-                      "error": str(e)[:300],
-                      "cost_cents": 0,
-                  }
-              prose = data.get("choices", [{}])[0].get("message", {}).get("content") or ""
-              verdict = infer_verdict_from_prose(prose)
-              return {
-                  "slug": slug, "display": display, "is_primary": is_primary,
-                  "provider_type": "neurometric_prose",
-                  "review": {"verdict": verdict, "prose": prose},
-                  "prompt_tokens": 0, "completion_tokens": 0,
-                  "cost_cents": 0,
-              }
-
-          def call_model(slug, display, in_rate, out_rate, is_primary, provider_type="openrouter_tools"):
-              if provider_type == "neurometric_prose":
-                  return call_neurometric_prose(slug, display, is_primary)
-              return call_openrouter_tools(slug, display, in_rate, out_rate, is_primary)
-
-          results = []
-          with concurrent.futures.ThreadPoolExecutor(max_workers=len(MODELS)) as pool:
-              futures = [pool.submit(call_model, *m) for m in MODELS]
-              for f in concurrent.futures.as_completed(futures):
-                  results.append(f.result())
-
-          # Order: primary first, then alphabetical for stable comparison
-          results.sort(key=lambda r: (not r.get("is_primary"), r["display"]))
-
-          # Build combined comment
-          primary = next((r for r in results if r.get("is_primary") and "review" in r), None)
-          heading_verdict = primary["review"]["verdict"] if primary else "MIXED"
 
+          # Build comment
+          if error:
+              heading_verdict = "ERROR"
               lines = [f"## CTO Review — {heading_verdict}", ""]
-          lines.append(f"_A/B harness active: {len(results)} models reviewing in parallel. Primary verdict drives heading; others are advisory._")
+              lines.append(f"Model failed: `{error}`")
               lines.append("")
-
+              lines.append(f"_reviewer: {MODEL_DISPLAY}_")
-          total_cents = 0.0
+          else:
-          for r in results:
+              heading_verdict = review.get("verdict", "COMMENT")
-              lines.append(f"---")
+              lines = [f"## CTO Review — {heading_verdict}", ""]
-              primary_tag = " (primary)" if r.get("is_primary") else ""
+              lines.append(f"**Verdict:** {heading_verdict}")
-              lines.append(f"### {r['display']}{primary_tag}")
-              if "error" in r:
               lines.append("")
-                  lines.append(f"⚠️ Model failed: `{r['error']}`")
+              lines.append(review.get("summary") or "_(model returned no summary)_")
               lines.append("")
-                  continue
+              if review.get("concerns"):
-              rev = r["review"]
-              lines.append("")
-              if r.get("provider_type") == "neurometric_prose":
-                  lines.append(f"**Verdict:** {rev['verdict']} _(heuristic, inferred from prose)_")
-                  lines.append("")
-                  # Cap at 6KB to keep PR comments readable; 4B model output is rarely over this
-                  prose = rev.get("prose", "")
-                  if len(prose) > 6000:
-                      prose = prose[:6000] + "\n\n_…output truncated for comment length…_"
-                  lines.append(prose)
-                  lines.append("")
-                  lines.append("_free tier; per-call token usage not tracked_")
-                  lines.append("")
-                  continue
-              lines.append(f"**Verdict:** {rev.get('verdict', 'COMMENT')}")
-              lines.append("")
-              lines.append(rev.get("summary") or "_(model returned no summary)_")
-              lines.append("")
-              if rev.get("concerns"):
                   lines.append("**Concerns:**")
-                  for c in rev["concerns"]:
+                  for c in review["concerns"]:
-                      sev = c["severity"].upper()
+                      sev = c.get("severity", "UNKNOWN").upper()
                       f = f"`{c['file']}`" if c.get("file") else ""
                       lines.append(f"- **{sev}** {f} — {c['issue']}")
                   lines.append("")
-              if rev.get("positives"):
+              if review.get("positives"):
-                  lines.append("**Positives:** " + "; ".join(rev["positives"]))
+                  lines.append("**Positives:** " + "; ".join(review["positives"]))
                   lines.append("")
-              lines.append(f"_tokens in/out: {r['prompt_tokens']}/{r['completion_tokens']} · cost: ${r['cost_cents']/100:.4f}_")
+              lines.append(f"_tokens in/out: {ptok}/{ctok} · cost: ${cost_cents/100:.4f}_")
-              total_cents += r["cost_cents"]
               lines.append("")
 
           lines.append("---")
-          lines.append(f"_Total review cost: **${total_cents/100:.4f}**. A/B roster configured in `.github/workflows/cto-review.yml`._")
+          lines.append(f"_Total review cost: **${cost_cents/100:.4f}**. Reviewer: {MODEL_DISPLAY}. Roster configured in `.github/workflows/cto-review.yml`._")
 
           with open("/tmp/review-body.md", "w") as f:
               f.write("\n".join(lines))
           with open(os.environ["GITHUB_OUTPUT"], "a") as f:
-              f.write(f"added_cents={int(round(total_cents))}\n")
+              f.write(f"added_cents={int(round(cost_cents))}\n")
               f.write(f"skipped=0\n")
               f.write(f"primary_verdict={heading_verdict}\n")
           PY
 
       - name: Post PR review (formal APPROVE / REQUEST_CHANGES / COMMENT)
-        # Uses primary model's verdict as the formal event. Falls back to COMMENT
+        # Uses Haiku's verdict as the formal event. Falls back to COMMENT
-        # if the primary model failed or returned something unexpected.
+        # if the model failed or returned something unexpected.
         if: steps.budget.outputs.skip != 'true' && steps.review.outputs.skipped != '1'
         uses: actions/github-script@v7
         env:

.github/workflows/deploy.yml

@@ -24,11 +24,6 @@ jobs:
       - uses: actions/checkout@v4
         with:
           ref: main
-      - name: Verify required files exist
-        run: |
-          for file in peptide-search-ai.php includes/ assets/ readme.txt; do
-            [ -e "$file" ] && echo "✓ $file" || { echo "❌ Missing: $file"; exit 1; }
-          done
       - name: Verify PSA_VERSION constant
         run: |
           if grep -q "define( 'PSA_VERSION'" peptide-search-ai.php; then
@@ -37,11 +32,6 @@ jobs:
           else
             echo "❌ PSA_VERSION not found"; exit 1
           fi
-      - uses: shivammathur/setup-php@v2
-        with:
-          php-version: '8.1'
-      - name: Validate PHP syntax
-        run: find . -name '*.php' -not -path './vendor/*' -print0 | xargs -0 -n1 php -l > /dev/null
 
   deploy:
     name: Deploy (shared pipeline)

ARCHITECTURE.md

@@ -43,7 +43,7 @@ peptide-search-ai/
 │       └── psa-directory.css          Directory card grid, filter pills, modal styles, dark mode support
 │
 └── .github/workflows/
-    ├── ci.yml                         PHP lint, PHPCS, JS syntax checks on PR/push
+    ├── ci.yml                         Thin caller → peptide-e2e reusable CI (stubs, has_js:true); blocking PHPCS + 300-line rule
     └── deploy.yml                     Pre-deploy validation, orphan deploy branch sync, SSH deploy
 ```
 

CHANGELOG.md

@@ -5,6 +5,22 @@ All notable changes to the Peptide Search AI plugin will be documented in this f
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [Unreleased]
+
+### Fixed
+- `.github/workflows/ci.yml`: added `workflow_call: {}` trigger so `deploy.yml`'s `uses: ./.github/workflows/ci.yml` gate resolves correctly. No plugin code changed.
+
+## [4.7.0] — 2026-06-16
+
+### Changed
+- `.github/workflows/ci.yml`: replaced per-repo CI jobs with thin caller for the reusable `peptiderepo/peptide-e2e/.github/workflows/ci.yml@main` (tests: stubs, has_js: true). Adds blocking PHPCS, 300-line file-size enforcement, and phpcbf auto-commit on PRs.
+- `.github/workflows/deploy.yml`: dropped redundant file-existence and PHP-syntax checks now covered by the reusable CI; kept PSA_VERSION constant check.
+- `includes/class-psa-admin.php`: removed dead backward-compat proxy methods (all delegated to `PSA_Admin_Page`; zero external callers). File reduced from 327 → 290 lines (estate 300-line rule compliance).
+- `includes/class-psa-ai-generator.php`: removed untested backward-compat proxies (save_peptide_meta, assign_category_term); retained build_validation_prompt and build_generation_prompt as tested proxies (AIGeneratorTest uses reflection). Section headers condensed. File 309 → 299 lines.
+- `includes/class-psa-search.php`: removed dead backward-compat proxy methods (all delegated to `PSA_Search_Handler`; zero external callers). File reduced from 307 → 294 lines.
+- `peptide-search-ai.php`: synced `PSA_VERSION` constant (was stuck at 4.5.0) with plugin header (was 4.6.0); both now 4.7.0.
+- `package.json` / `package-lock.json`: added minimal npm manifest (no dependencies) so the reusable `lint-js` job can run `npm ci` and fall back to `node --check` on the three JS asset files.
+
 ## [4.6.0] — 2026-04-26
 
 ### Changed

includes/class-psa-admin.php

@@ -286,42 +286,4 @@ class PSA_Admin {
 		$options = get_option( 'psa_settings', array() );
 		return $options[ $key ] ?? $default;
 	}
-
-	// ── Backward-compatible proxies (rendering moved to PSA_Admin_Page) ─
-
-	/** @see PSA_Admin_Page::enqueue_batch_scripts() */
-	public static function enqueue_batch_scripts( string $hook ): void {
-		PSA_Admin_Page::enqueue_batch_scripts( $hook ); }
-
-	/** @see PSA_Admin_Page::render_section_description() */
-	public static function render_section_description(): void {
-		PSA_Admin_Page::render_section_description(); }
-
-	/** @see PSA_Admin_Page::render_api_key_field() */
-	public static function render_api_key_field(): void {
-		PSA_Admin_Page::render_api_key_field(); }
-
-	/** @see PSA_Admin_Page::render_model_field() */
-	public static function render_model_field(): void {
-		PSA_Admin_Page::render_model_field(); }
-
-	/** @see PSA_Admin_Page::render_validation_model_field() */
-	public static function render_validation_model_field(): void {
-		PSA_Admin_Page::render_validation_model_field(); }
-
-	/** @see PSA_Admin_Page::render_publish_field() */
-	public static function render_publish_field(): void {
-		PSA_Admin_Page::render_publish_field(); }
-
-	/** @see PSA_Admin_Page::render_pubchem_field() */
-	public static function render_pubchem_field(): void {
-		PSA_Admin_Page::render_pubchem_field(); }
-
-	/** @see PSA_Admin_Page::render_budget_field() */
-	public static function render_budget_field(): void {
-		PSA_Admin_Page::render_budget_field(); }
-
-	/** @see PSA_Admin_Page::render_settings_page() */
-	public static function render_settings_page(): void {
-		PSA_Admin_Page::render_settings_page(); }
 }

includes/class-psa-ai-generator.php

@@ -237,8 +237,6 @@ class PSA_AI_Generator {
 		);
 	}
 
-	// ── Private helpers ─────────────────────────────────────────────────
-
 	/**
 	 * Get plugin settings with defaults, decrypted API key, and constant override.
 	 *
@@ -289,21 +287,13 @@ class PSA_AI_Generator {
 		return true;
 	}
 
-	// ── Backward-compatible proxies ─────────────────────────────────────
+	/** @see PSA_AI_Content::build_validation_prompt() — kept for test reflection. */
-
-	/** @see PSA_AI_Content::build_validation_prompt() */
 	public static function build_validation_prompt( string $name ): string {
-		return PSA_AI_Content::build_validation_prompt( $name ); }
+		return PSA_AI_Content::build_validation_prompt( $name );
-
+	}
-	/** @see PSA_AI_Content::build_generation_prompt() */
+
-	public static function build_generation_prompt( string $peptide_name ): string {
+	/** @see PSA_AI_Content::build_generation_prompt() — kept for test reflection. */
-		return PSA_AI_Content::build_generation_prompt( $peptide_name ); }
+	public static function build_generation_prompt( string $peptide_name ): string {
-
+		return PSA_AI_Content::build_generation_prompt( $peptide_name );
-	/** @see PSA_AI_Content::save_peptide_meta() */
+	}
-	public static function save_peptide_meta( int $post_id, array $ai_data, ?array $pubchem_data ): void {
-		PSA_AI_Content::save_peptide_meta( $post_id, $ai_data, $pubchem_data ); }
-
-	/** @see PSA_AI_Content::assign_category_term() */
-	public static function assign_category_term( int $post_id, array $ai_data ): void {
-		PSA_AI_Content::assign_category_term( $post_id, $ai_data ); }
 }

includes/class-psa-search.php

@@ -290,18 +290,4 @@ class PSA_Search {
 			'source'            => get_post_meta( $post->ID, 'psa_source', true ),
 		);
 	}
-
-	// ── Backward-compatible proxies ─────────────────────────────────────
-
-	/** @see PSA_Search_Handler::ajax_search() */
-	public static function ajax_search(): void {
-		PSA_Search_Handler::ajax_search(); }
-
-	/** @see PSA_Search_Handler::create_pending_placeholder() */
-	public static function create_pending_placeholder( string $peptide_name ) {
-		return PSA_Search_Handler::create_pending_placeholder( $peptide_name ); }
-
-	/** @see PSA_Search_Handler::schedule_background_generation() */
-	public static function schedule_background_generation( int $post_id, string $peptide_name ): void {
-		PSA_Search_Handler::schedule_background_generation( $post_id, $peptide_name ); }
 }

package-lock.json

@@ -0,0 +1,13 @@
+{
+  "name": "peptide-search-ai",
+  "version": "4.7.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "peptide-search-ai",
+      "version": "4.7.0",
+      "devDependencies": {}
+    }
+  }
+}

package.json

@@ -0,0 +1,8 @@
+{
+  "name": "peptide-search-ai",
+  "version": "4.7.0",
+  "description": "Peptide Search AI WordPress plugin — JS assets",
+  "private": true,
+  "scripts": {},
+  "devDependencies": {}
+}

peptide-search-ai.php

@@ -3,7 +3,7 @@
  * Plugin Name: Peptide Search AI
  * Plugin URI:  https://github.com/peptiderepo/peptide-search-ai
  * Description: Searchable peptide database with AI-powered auto-population and browsable directory.
- * Version:     4.6.0
+ * Version:     4.7.0
  * Author:      peptiderepo
  * License:     GPL v2 or later
  * Text Domain: peptide-search-ai
@@ -15,7 +15,7 @@ if ( ! defined( 'ABSPATH' ) ) {
 	exit;
 }
 
-define( 'PSA_VERSION', '4.5.0' );
+define( 'PSA_VERSION', '4.7.0' );
 define( 'PSA_PLUGIN_DIR', plugin_dir_path( __FILE__ ) );
 define( 'PSA_PLUGIN_URL', plugin_dir_url( __FILE__ ) );
 define( 'PSA_PLUGIN_FILE', __FILE__ );