Fixed TypeError when generating metadata for templates with missing or
invalid nodes_used data. Added safe JSON parsing with fallback to empty
array.
Root cause: Template -1000 (Canonical AI Tool Examples) has null
nodes_used field, causing iteration error in summarizeNodes().
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement OpenAI batch API integration for metadata generation
- Add search_templates_by_metadata tool with advanced filtering
- Enhance list_templates to include descriptions and optional metadata
- Generate metadata for 2,534 templates (97.5% coverage)
- Update README with Template Tools section and enhanced Claude setup
- Add comprehensive documentation for metadata system
Enables intelligent template discovery through:
- Complexity levels (simple/medium/complex)
- Setup time estimates (5-480 minutes)
- Target audience filtering (developers/marketers/analysts)
- Required services detection
- Category and use case classification
Co-Authored-By: Claude <noreply@anthropic.com>
- Implement OpenAI batch API integration for metadata generation
- Add metadata columns to database schema (metadata_json, metadata_generated_at)
- Create MetadataGenerator service with structured output schemas
- Create BatchProcessor for handling OpenAI batch jobs
- Add --generate-metadata flag to fetch-templates script
- Update template repository with metadata management methods
- Add OpenAI configuration to environment variables
- Include comprehensive tests for metadata generation
- Use gpt-4o-mini model with 50% cost savings via batch API
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add gzip compression for workflow JSONs (89% size reduction)
- Filter templates with ≤10 views to remove low-quality content
- Reduce template count from 4,505 to 2,596 high-quality templates
- Compress template data from ~75MB to 12.10MB
- Total database reduced from 117MB to 48MB
- Add on-the-fly decompression for template retrieval
- Update schema to support compressed workflow storage
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add FTS5 pre-creation in fetch-templates.ts before data import
- Create prebuild-fts5.ts script to ensure FTS5 tables exist
- Improve logging in template-repository.ts for better debugging
- Add npm script 'prebuild:fts5' for manual FTS5 setup
This ensures template search works consistently in Docker mode
where runtime FTS5 table creation might fail due to permissions.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- SQLite doesn't allow datetime('now') in CHECK constraints
- Drop tables before recreating to ensure clean schema
- 6-month filtering is already handled in application logic
- Successfully fetched and stored 199 templates
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
- Add 4 new MCP tools for workflow templates
- Integrate with n8n.io API to fetch community templates
- Filter templates to last 6 months only
- Store templates in SQLite with full workflow JSON
- Manual fetch system (not part of regular rebuild)
- Support search by nodes, keywords, and task categories
- Add fetch:templates and test:templates npm scripts
- Update to v2.4.1
🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
