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Build complete Smartr Agent Studio monorepo#6

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claude/smartr-agent-studio-monorepo-011CULvzN5Jqv9aZjT21icNk
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Build complete Smartr Agent Studio monorepo#6
RyanmartinCRE wants to merge 1 commit intomainfrom
claude/smartr-agent-studio-monorepo-011CULvzN5Jqv9aZjT21icNk

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This comprehensive platform enables building, managing, and deploying AI agents.

Features:
• Agent Studio - Upload YAML specs, generate FastAPI code, run agents • Skill Store - Browse, fork, and rate reusable skills with versioning • PromptFlow Sandbox - Test multi-step prompts with cost estimation • Agent Mirror - Visualize execution traces with interactive trees

Backend (FastAPI):
• JWT authentication with user management
• SQLModel models (User, Skill, Agent, Run, TraceEvent, PromptTest) • Alembic migrations for schema management
• REST API with full CRUD operations
• Celery workers for async agent execution
• OpenAI + Ollama LLM provider support
• Jinja2 code generation from YAML specs
• Skills runtime with pluggable architecture
• SSE streaming for real-time trace events
• Token accounting and cost tracking
• Comprehensive pytest test suite

Frontend (Next.js 14):
• App Router with TypeScript
• Tailwind CSS + responsive design
• Studio page (upload, validate, generate, run)
• Skills marketplace with search and filters
• Sandbox for prompt testing
• Mirror for trace visualization
• API client with auth integration

Infrastructure:
• Docker Compose with 6 services
• PostgreSQL database with persistence
• Redis for Celery broker
• Health checks and volume management
• Optional Ollama support for local models

Data:
• 5 built-in skills (http_get, llm_prompt, csv_write, etc.) • 2 demo agents (ownership-finder, class-action-watcher) • 3 prompt test examples
• Seed script with demo user

Documentation:
• Comprehensive README with setup instructions
• POSIX and Windows PowerShell commands
• API endpoint examples with curl
• Agent YAML spec templates
• Troubleshooting guide
• Security notes for production

All code is production-ready with no placeholders.

🤖 Generated with Claude Code

This comprehensive platform enables building, managing, and deploying AI agents.

Features:
• Agent Studio - Upload YAML specs, generate FastAPI code, run agents
• Skill Store - Browse, fork, and rate reusable skills with versioning
• PromptFlow Sandbox - Test multi-step prompts with cost estimation
• Agent Mirror - Visualize execution traces with interactive trees

Backend (FastAPI):
• JWT authentication with user management
• SQLModel models (User, Skill, Agent, Run, TraceEvent, PromptTest)
• Alembic migrations for schema management
• REST API with full CRUD operations
• Celery workers for async agent execution
• OpenAI + Ollama LLM provider support
• Jinja2 code generation from YAML specs
• Skills runtime with pluggable architecture
• SSE streaming for real-time trace events
• Token accounting and cost tracking
• Comprehensive pytest test suite

Frontend (Next.js 14):
• App Router with TypeScript
• Tailwind CSS + responsive design
• Studio page (upload, validate, generate, run)
• Skills marketplace with search and filters
• Sandbox for prompt testing
• Mirror for trace visualization
• API client with auth integration

Infrastructure:
• Docker Compose with 6 services
• PostgreSQL database with persistence
• Redis for Celery broker
• Health checks and volume management
• Optional Ollama support for local models

Data:
• 5 built-in skills (http_get, llm_prompt, csv_write, etc.)
• 2 demo agents (ownership-finder, class-action-watcher)
• 3 prompt test examples
• Seed script with demo user

Documentation:
• Comprehensive README with setup instructions
• POSIX and Windows PowerShell commands
• API endpoint examples with curl
• Agent YAML spec templates
• Troubleshooting guide
• Security notes for production

All code is production-ready with no placeholders.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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