CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Coze Studio is an all-in-one AI agent development platform with both frontend (React + TypeScript) and backend (Go) components. The project uses a sophisticated monorepo architecture managed by Rush.js with 135+ frontend packages organized in a hierarchical dependency system.

Development Commands

Environment Setup

# Clone and setup
git clone https://github.com/coze-dev/coze-studio.git
cd coze-studio

# Install frontend dependencies
rush update

# For Docker-based development
cd docker
cp .env.example .env
# Configure model settings in backend/conf/model/
docker compose up -d
# Access at http://localhost:8888

Development Workflow

# Start middleware services (MySQL, Redis, Elasticsearch, etc.)
make middleware

# Start Go backend in development mode
make server

# Start frontend development server
cd frontend/apps/coze-studio
npm run dev

# Full development environment
make debug

Build Commands

# Build frontend only
make fe

# Build Go server
make build_server

# Build everything with Docker
make web

# Rush monorepo commands
rush build                    # Build all packages
rush rebuild -o @coze-studio/app  # Build specific package
rush test                     # Run all tests
rush lint                     # Lint all packages

Testing

# Run tests (Vitest-based)
rush test
npm run test                  # In specific package
npm run test:cov             # With coverage

# Backend tests
cd backend && go test ./...

Architecture Overview

Frontend Architecture

• Monorepo: Rush.js with 135+ packages across 4 dependency levels
• Build System: Rsbuild (Rspack-based) for fast builds
• UI Framework: React 18 + TypeScript + Semi Design + Tailwind CSS
• State Management: Zustand for global state
• Package Organization:
  • arch/: Core infrastructure (level-1)
  • common/: Shared components and utilities (level-2)
  • agent-ide/, workflow/, studio/: Feature domains (level-3)
  • apps/coze-studio: Main application (level-4)

Backend Architecture (Go)

• Framework: Hertz HTTP framework
• Architecture: Domain-Driven Design (DDD) with microservices
• Structure:
  • domain/: Business logic and entities
  • application/: Application services and use cases
  • api/: HTTP handlers and routing
  • infra/: Infrastructure implementations
  • crossdomain/: Cross-cutting concerns

Key Architectural Patterns

• Adapter Pattern: Extensive use for loose coupling between layers
• Interface Segregation: Clear contracts between domains
• Event-Driven: NSQ message queue for async communication
• API-First: Comprehensive OpenAPI specifications

Database & Infrastructure

Docker Services Stack

• Database: MySQL 8.4.5
• Cache: Redis 8.0
• Search: Elasticsearch 8.18.0 with SmartCN analyzer
• Vector DB: Milvus v2.5.10 for embeddings
• Storage: MinIO for object storage
• Message Queue: NSQ (nsqlookupd, nsqd, nsqadmin)
• Configuration: etcd 3.5

Database Management

# Sync database schema
make sync_db

# Dump database schema
make dump_db

# Initialize SQL data
make sql_init

# Atlas migration management
make atlas-hash

Key Development Patterns

Frontend Package Development

• Each package follows consistent structure with README.md, package.json, tsconfig.json, eslint.config.js
• Adapter pattern extensively used for decoupling (e.g., -adapter suffix packages)
• Base/Core pattern for shared functionality (e.g., -base suffix packages)
• Use workspace references (workspace:*) for internal dependencies

Backend Development

• Follow DDD principles with clear domain boundaries
• Use dependency injection via interfaces
• Implement proper error handling with custom error types
• Write comprehensive tests for domain logic

Model Configuration

Before deployment, configure AI models in backend/conf/model/:

1. Copy template from backend/conf/model/template/
2. Set id, meta.conn_config.api_key, and meta.conn_config.model
3. Supported providers: OpenAI, Volcengine Ark, Claude, Gemini, Qwen, DeepSeek, Ollama

Testing Strategy

Coverage Requirements by Package Level

• Level 1: 80% coverage, 90% increment
• Level 2: 30% coverage, 60% increment
• Level 3-4: 0% coverage (flexible)

Testing Framework

• Frontend: Vitest for unit/integration tests
• Backend: Go's built-in testing framework
• E2E: Separate e2e subspace configuration

Common Issues & Solutions

Frontend Development

• Use rush update instead of npm install at root level
• Build packages in dependency order using rush build
• For hot reload issues, check Rsbuild configuration in specific package

Backend Development

• Ensure middleware services are running (make middleware)
• Check database connectivity and schema sync
• Verify model configurations are properly set

Docker Issues

• Ensure sufficient resources (minimum 2 Core, 4GB RAM)
• Check port conflicts (8888 for frontend, various for services)
• Use make clean to reset Docker volumes if needed

IDL and Code Generation

The project uses Interface Definition Language (IDL) for API contract management:

• IDL files in idl/ directory (Thrift format)
• Frontend code generation via @coze-arch/idl2ts-* packages
• Backend uses generated Go structs

Plugin Development

For custom plugin development:

• Reference templates in backend/conf/plugin/pluginproduct/
• Follow OAuth schema in backend/conf/plugin/common/oauth_schema.json
• Configure authentication keys for third-party services

Contributing

• Use conventional commits via rush commit
• Run linting with rush lint-staged (pre-commit hook)
• Ensure tests pass before submitting PRs
• Follow team-based package organization and tagging conventions