[jddunn]

The search index files built from 8041bea by run https://github.com/framerslab/codex/actions/runs/39584174987: codex-index.json, codex-search.json, codex-report.json and codex-blocks.json.

master is protected, so the index reaches it through this pull request. The Build and Publish Codex Index workflow opens and updates it with FRAMERS_BUMP_TOKEN, so its Test Suite and rename-guard run; landing-follows-the-bump-checks.yml labels it landing once both pass on its head, and it lands after its review comments are read, answered and resolved. A later run replaces this branch with its own build, and closes the pull request when the index no longer differs from master's.

Summary by Sourcery

CI:

• Refresh the generated Codex search index and report artifacts.

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[chatgpt-codex-connector]

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-10-21T08:27:03.606452Z	3167841	PR opened

ℹ️ About Codex in GitHub

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[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

This CI-generated pull request refreshes the Codex index artifacts from commit 54c66d9, changing indexed content and report metadata while removing one search entry; review should focus on whether the generated outputs match the source revision and workflow expectations.

File-Level Changes

Change	Details	Files
Regenerate the Codex search/index artifacts from the specified source revision, updating indexed content and generated reporting metadata.	Refresh the main Codex index data. Update generated search and report artifacts, including removal of one search entry. Review the generated JSON as build output rather than hand-authored logic.	codex-index.json codex-report.json codex-search.json

---

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📥 Commits

Reviewing files that changed from the base of the PR and between 8041bea and 4901545.

📒 Files selected for processing: 3

• codex-index.json
• codex-report.json
• codex-search.json

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[qodo-free-for-open-source-projects]

PR Summary by Qodo

Refresh Codex search artifacts and block-tagging metadata

✨ Enhancement 🕐 10-20 Minutes

AI Description

• Refresh generated search artifacts so published results reflect the latest indexed content.
• Update tutorial tags and category scores, including new test and branch skill tags.
• Carry the artifacts through a PR because master is protected.

Diagram

graph TD
  Docs["Indexed content"] --> Indexer(["Codex indexer"]) --> Index["Codex index"] --> SearchBuilder(["Search builder"]) --> Search["Search artifact"]
  Indexer --> Report["Analytics report"]

Loading

High-Level Assessment

Publishing the existing generated artifacts through a PR fits protected master and permits the required checks and review. Rebuilding only one artifact would risk inconsistency with the index; no generator or publishing-strategy change is warranted by this diff.

Files changed (3) +115 / -103

Other (3) +115 / -103

codex-index.jsonRefresh indexed metadata and document search text +78/-76

Refresh indexed metadata and document search text

• Advances indexing timestamps and recalculates metadata for indexed documents. The block-tagging tutorial gains test and branch skill tags, while indexed development and re-catalog guides reflect their PR-based publishing instructions.

codex-index.json

codex-report.jsonRefresh category and skill scoring report +36/-26

Refresh category and skill scoring report

• Updates category scores for the block-tagging tutorial and two guides, and adds test and branch skill entries for the tutorial. The recorded indexing duration also changes.

codex-report.json

codex-search.jsonRegenerate the static search artifact +1/-1

Regenerate the static search artifact

• Replaces the single-line generated search JSON with the build output accompanying the refreshed Codex index.

codex-search.json

[github-actions]

Guards passed on 4901545:

• Test Suite, run 39584473337
• rename-guard, run 39584473529

Labelled landing: this pull request lands after its review comments are read, answered and resolved. No workflow merges it.

[qodo-free-for-open-source-projects]

Code Review by Qodo

🐞 Bugs (0) 📘 Rule violations (0) 📎 Requirement gaps (0) 🎨 UX issues (0) 🔗 Cross-repo conflicts (0) 📜 Skill insights (0)

1. Two guides lose keyword search matches ✓ Resolved

Description

The updated content for the development guide ends at SQL Cache Arch because auto-index.js
keeps only the first 5,000 characters, and the search builder tokenizes that truncated field rather
than the source document. The re-catalog guide likewise ends at Only auto-gener, so this build
drops the previously indexed architecture and generated terms from those guides' keyword-search
postings.

Code

codex-index.json[53049]

+    "content": "# Frame Codex Development Guide\n\n## Initial Setup & Cataloging\n\n### First-Time Setup\n\n1. **Install Dependencies**\n```bash\ncd apps/codex\nnpm install\n```\n\n2. **Run Initial Catalog** (categorizes ALL existing content)\n```bash\nnpm run index -- --validate\n```\n\nThis will:\n- Scan all markdown files in `weaves/`, `docs/`, `wiki/`\n- Extract keywords using TF-IDF\n- Auto-categorize using NLP (no LLM, pure statistical)\n- Generate `codex-index.json` (searchable index)\n- Generate `codex-report.json` (analytics)\n- Output validation errors/warnings/suggestions\n\n**First run takes ~30 seconds for 100 files**\n\n### How It Works Subsequently\n\n**Automatic on Every PR Merge:**\n\n1. GitHub Actions triggers `build-index.yml` on push to `main`\n2. Runs `npm run index -- --validate` (static NLP only)\n3. Generates updated index files\n4. Pushes to `index` branch for consumption\n5. **No AI/LLM calls** - pure TF-IDF, n-grams, vocabulary matching\n\n**Static NLP Tools Used:**\n- **TF-IDF**: Keyword extraction (no external API)\n- **N-gram extraction**: Common phrases (local computation)\n- **Vocabulary matching**: Controlled taxonomy (regex/string matching)\n- **Readability scoring**: Flesch-Kincaid (formula-based)\n- **Sentiment heuristics**: Simple keyword patterns\n\n**Cost: $0** - All processing is local/in-CI\n\n---\n\n## Environment Variables & Secrets\n\n### Required GitHub Secrets\n\nAdd to `framerslab/codex` repository settings:\n\n```bash\n# Required for the Trusted Weavers workflow (approves validated PRs)\nGH_PAT=ghp_xxxxxxxxxxxxxxxxxxxx  # GitHub Personal Access Token (repo scope)\n\n# AI Enhancement (OPTIONAL - only if you want AI-powered PR analysis)\nOPENAI_API_KEY=sk-x*****************xx\n\n# Configuration (optional)\nAI_PROVIDER=disabled  # Set to 'disabled' to skip AI entirely\n```\n\n### Secret Configuration\n\n**To enable AI enhancement:**\n```bash\nOPENAI_API_KEY=sk-...\n```\n\n**To label re-catalog PRs for landing** (exported in the shell that runs the re-catalog script):\n```bash\nexport AUTO_CATALOG_LAND=true\n# Default: false. The label marks the PR as checked; it lands after its review comments are read.\n```\n\n**To disable AI enhancement:**\n```bash\nAI_PROVIDER=disabled\n# Or just don't set OPENAI_API_KEY\n```\n\n### Local Development\n\nCreate `.env` in `apps/codex/`:\n\n```bash\n# Optional - only for testing AI enhancement locally\nOPENAI_API_KEY=sk-...\n# or\nANTHROPIC_API_KEY=sk-ant-...\nAI_PROVIDER=openai\n```\n\n**Note:** The indexer and validator work WITHOUT any API keys. AI is only for optional PR enhancement.\n\n---\n\n## Triggering a Full Re-Catalog\n\n### Method 1: Automated Script (Recommended)\n\n```bash\ncd apps/codex\nchmod +x scripts/retrigger-full-catalog.sh\n\n# Dry run first (see what would change)\n./scripts/retrigger-full-catalog.sh --dry-run\n\n# Create PR with changes (requires manual approval)\n./scripts/retrigger-full-catalog.sh\n\n# Label the PR for landing (one-time override)\n./scripts/retrigger-full-catalog.sh --land\n```\n\n**What it does:**\n1. Runs full static NLP analysis on ALL files\n2. Creates branch: `catalog/full-reindex-{timestamp}`\n3. Commits updated index files\n4. Creates PR with detailed summary\n5. **Waits for review**: with `AUTO_CATALOG_LAND=true` or `--land`, and when the indexer skipped no file, it adds the `landing` label and one comment; a maintainer lands it after its review comments are read\n\n**Requirements:**\n- `GH_PAT` environment variable\n\n### Method 2: GitHub Actions Trigger\n\n```bash\n# Via GitHub CLI\ngh workflow run build-index.yml --repo framerslab/codex\n\n# Or via web UI\n# Go to: https://github.com/framerslab/codex/actions/workflows/build-index.yml\n# Click \"Run workflow\" → \"Run workflow\"\n```\n\n**What it does:**\n- Runs indexer in CI\n- Pushes directly to `index` branch (no PR)\n- Updates live immediately\n\n### Method 3: Local Re-Index\n\n```bash\ncd apps/codex\nnpm run index -- --validate\n\n# Review changes\ncat codex-report.json | jq '.summary'\n\n# Commit on a branch and open a pull request: master is protected, so a change reaches it\n# through a pull request whose Test Suite and rename-guard checks pass\ngit switch -c chore/re-index\ngit add codex-index.json codex-report.json\ngit commit -m \"chore: re-index all content\"\ngit push -u origin chore/re-index\ngh pr create --base master --fill\n```\n\n**See full guide:** [RECATALOG_GUIDE.md](./RECATALOG_GUIDE.md)\n\n---\n\n## Search Artifacts (BM25 + MiniLM embeddings)\n\nFrame.dev’s advanced search UI consumes a separate static artifact, `codex-search.json`, which contains:\n\n- BM25 postings (term → docId, term frequency)\n- Document metadata (path, weave, loom, summary, doc length)\n- Packed Float32 embeddings (all-MiniLM-L6-v2, mean pooled, normalized)\n\nGenerate it after the main index:\n\n```bash\ncd apps/codex\nnpm run build:search\n\n# Commit alongside codex-index.json to publish updated search data\ngit add codex-search.json\n```\n\nThis command uses `@xenova/transformers` entirely in Node.js (no Python, no API keys) and produces a fully static JSON blob that can be hosted on GitHub Pages or any CDN.\n\n---\n\n## SQL Cache Arch",

Evidence

The changed index entries now stop inside the only occurrences of these words in their respective
source guides. The indexer imposes the 5,000-character cutoff, and the search builder constructs
term frequencies and postings from that already-truncated content.

codex-index.json[53049-53049]
codex-index.json[53457-53457]
docs/DEVELOPMENT.md[189-189]
docs/RECATALOG_GUIDE.md[205-205]
scripts/auto-index.js[862-862]
scripts/build-search-index.mjs[157-176]

Agent prompt

The issue below was found during a code review. Follow the provided context and guidance below and implement a solution

## Issue description
The updated documentation crosses the index's 5,000-character content cutoff in the middle of searchable words. The generated search artifact consequently loses keyword postings for two guides.
## Fix Focus Areas
- scripts/auto-index.js[862-862]
- scripts/build-search-index.mjs[157-176]
- codex-index.json[53049-53049]
- codex-index.json[53457-53457]
## Recommended Fix
Give the search builder enough source text to index these terms, preferably by using the source documents rather than the display-content excerpt. Apply any remaining length limit at a word boundary, regenerate the affected artifacts, and check that both guides retain their expected term postings.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools

---

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