- Add Railway executor template with one-click deploy support
- Create Railway documentation page at /docs/executors/railway
- Update main executors page with Railway as official recommendation
- Add Railway to platform comparison table with new columns
- Update inter-page navigation for Railway → Unsandbox → Vercel flow
- Update FAQ to recommend Railway for most use cases
Railway executor features:
- Zero-dependency Node.js HTTP server
- Docker support via included Dockerfile
- Health check endpoint at /health
- Tool execution at /execute-tool
- API key authentication support
- Auto-restart on failure via railway.json
Restructure executor documentation to support multiple platforms:
- Main /docs/executors page now serves as overview with platform selector
- Add dedicated /docs/executors/unsandbox guide with CLI deployment
- Add dedicated /docs/executors/vercel guide with one-click deploy
- Include platform comparison table and shared API specification
- Add MCP Server Integration section with Claude Desktop, Cursor, VS Code config examples
- Add REST API Reference documenting /api/tools, /api/tools/search, /api/tools/execute endpoints
- Add "Building an Agent Like Omega" section with complete implementation examples
- Include SSE streaming patterns for real-time tool execution UI
- Update .gitignore to exclude .env*.local files
When a tool execution fails, return an error object instead of throwing.
This allows the AI model to see the error and inform the user properly,
rather than silently failing with no output.
- Changed @tpmjs/registry-execute and @tpmjs/registry-search to workspace:*
- This allows the web app to use local workspace versions
- Published npm packages still available for external users
- Updated all packages from ai@6.0.23 to ai@6.0.49
- Added pnpm override to ensure consistent version
- Created changeset for publishing affected packages
- @tpmjs/registry-search and @tpmjs/registry-execute use ESM syntax
- Move from serverExternalPackages to transpilePackages so Next.js
properly bundles and transpiles them
- Revert to static imports now that packages are bundled correctly
- Move @ai-sdk/devtools import to lazy dynamic import to prevent
module load failures in production environment
- Add try-catch around response.json() in client to handle
non-JSON error responses gracefully
- Display proper error message when server returns non-JSON response
- Light mode: pure white backgrounds (#FFFFFF) with high contrast
near-black text (#0A0A0A) for better readability
- Dark mode: clean neutral blacks (#0A0A0A base) instead of warm browns
- Borders use neutral grays instead of warm-tinted grays
- Status colors (success, warning, error, info) more saturated and vibrant
- Maintains copper accent color (#A6592D) as brand element
- Overall cleaner, more minimal feel with stronger contrast
- Create /api/skills/questions endpoint for listing questions with pagination
- Create /api/skills/questions/[id] endpoint for individual question details
- Add questions list page with filtering by skill
- Add question detail page with full answer, related tools, and similar questions
- Make activity feed cards clickable links to question detail
- Add "View all" link in SkillsSection
- Replace hardcoded purple/blue colors with primary/10 backgrounds
- Use text-primary for icons instead of hardcoded colors
- Use error tokens for error states instead of red-*
- Use ProgressBar component instead of custom div progress bars
- Use EmptyState component for empty activity feed
- Use Card components consistently with proper padding
- Fix TypeScript types in integration tests
Implements a skills endpoint that evolves through agent conversations:
- GET /:username/collections/:slug/skills - Returns markdown skill summary
- POST /:username/collections/:slug/skills - Ask questions, get RAG+LLM responses
Features:
- OpenAI text-embedding-3-large (3072 dims) for semantic similarity
- GPT-4.1-mini for response generation with RAG context
- Lazy seeding of synthetic questions on first access
- Cache hits for >95% similar questions
- Real-time skill graph updates (emergent skill taxonomy)
- Session support for multi-turn conversations
- Activity feed and stats APIs for UI
Database models: SkillQuestion, Skill, SkillSession, SkillQuestionSkill, SkillQuestionTool
Add abstract tool rendering infrastructure to @tpmjs/ui:
- ToolRenderer component with registry-based renderer lookup
- DefaultJsonRenderer as fallback with collapsible JSON display
- RegistrySearchRenderer for registrySearchTool results
- RegistryExecuteRenderer for registryExecuteTool results
- registerBuiltInRenderers() for idempotent initialization
Update Omega chat page to use new ToolRenderer:
- Replace inline ToolCallCard with ToolRenderer component
- Add helper functions to convert between ToolCall and ToolPart
- Remove unused expandedToolCalls state (managed internally)
Also add video file extensions to .gitignore
- Add /api/omega/settings/env-vars API endpoints for CRUD operations
- Add /omega/settings page with env var management UI
- Pass user env vars to tool execution in messages route
- Detect and warn about missing required env vars via SSE events
- Add EnvVarWarningBanner component to chat UI
- Update system prompt to document registry tools usage
- Improve auth flow on landing page with sign-in redirect
- Add Prisma models for conversations, messages, participants, tool runs, and user settings
- Create API endpoints for conversation CRUD and SSE message streaming
- Build landing page with sample prompts at /omega
- Build chat interface with real-time streaming at /omega/[conversationId]
- Integrate @tpmjs/registry-search and @tpmjs/registry-execute packages
- Use OpenAI GPT-4.1 Mini as the default model
- Create /:username/collections/:slug/usage.md endpoint
- Shows real-world usage patterns from test scenarios
- Filters out health check scenarios automatically
- Groups examples by tags for better organization
- Update skills.md to reference usage.md for usage examples
Implements batched generation to avoid Vercel 120s timeout for collections
with 60+ tools. Uses per-tool caching and recursive serverless invocations.
- Add ToolSkillsCache and SkillsGenerationJob models to schema
- Create tool-skills-generator.ts for per-tool markdown generation
- Create skills-summary-generator.ts for final pass summary/intro
- Update route handler with chunked generation logic
- Small collections (<20 tools) use original monolithic approach
- Large collections use 10-tool batches with progress tracking
Transform qualifying scenarios into marketing-ready use cases with:
- AI-generated titles, descriptions, ROI estimates, business value
- Persona/industry/category taxonomy for targeting
- Browseable feed with filtering and ranking
- SEO-optimized case study pages
- Daily cron job for generation and ranking
Database:
- Add Persona, Industry, Category lookup tables
- Add UseCase model with marketing content fields
- Add junction tables for personas/industries/categories
- Add SocialProof model for cached metrics
API:
- GET /api/use-cases - Global directory with filtering
- GET /api/use-cases/[id] - Individual use case details
- GET /api/public/users/[username]/collections/[slug]/use-cases
- POST /api/cron/use-cases - Nightly generation job
Frontend:
- /use-cases - Global feed with persona dropdown
- /use-cases/[slug] - SEO case study page
- /[username]/collections/[slug]/use-cases - Collection feed
- UseCasesFeed component - Sortable table component
- UseCaseCaseStudy component - Full case study layout
- Move use cases section above scenarios section on collection detail pages
- Add AppHeader and AppFooter to /docs/developers/guide page for consistent layout
- Remove undefined variable reference (run.conversation) in header
- Extract ExpandedRunDetails component to reduce JSX nesting
- Fix vitest configs: rename to .mjs and add ESM-compatible __dirname
- Inline tailwind base config to avoid module resolution issues
- Remove unused imports (Streamdown, viewMode state)
This fixes the Turbopack parsing error that was preventing the build.
- Inline tailwind config to resolve Turbopack import issues with @tpmjs/config
- Add exports field to @tpmjs/config package.json for proper module resolution
- Add @tpmjs/config to transpilePackages in Next.js config
Note: page.tsx has a pre-existing Turbopack parsing error at line 604
that needs to be addressed separately (it existed before these changes).
- Add new /docs/developers/guide page with comprehensive scenarios documentation
- Explain what scenarios are, why use them, and how they work
- Cover developer use cases (CI/CD, local testing, quality monitoring)
- Include comparison with traditional testing approaches
- Add to AppHeader developers dropdown menu
- Add Streamdown for markdown rendering
- Add Message interface for conversation typing
- Add viewMode state (chat/debug) for switching views
- Add conversation history section in expanded run details
- Show conversation in chat format (USER/ASSISTANT/TOOL messages)
- Add view mode toggle to switch between chat and raw JSON views
- Improve usage stats section to show — when data is missing
- Make evaluator field nullable in TypeScript interface
- Add optional chaining for run.evaluator?.verdict
- Add optional chaining for run.evaluator?.model
- Prevents TypeError when evaluator object is missing
- Make usage field nullable in TypeScript interface
- Add optional chaining for run.usage?.executionTimeMs
- Add optional chaining for run.usage?.totalTokens
- Prevents TypeError when usage object is missing
- Add optional chaining for run.timestamps?.createdAt
- Make timestamps.createdAt optional in interface
- Add null check for evaluator.reason
- Prevents TypeError when accessing undefined properties
