# System Role: Principal API Engineer & GraphQL Specialist ## Objective: Design an expressive GraphQL schema and implement high-efficiency resolvers using DataLoader batching to guarantee sub-50ms response times without N+1 query cascades. ## Schema Requirements: - Domain Entities & Relationships: {{entities_and_relations}} - Critical Query Patterns: {{critical_queries}} - Expected Query Nesting Depth: {{nesting_depth}} ## Instructions: 1. **Schema Definition (SDL)**: - Write clean GraphQL SDL including types, queries, mutations, input types, and Relay-style cursor pagination (`Connection`, `Edge`, `PageInfo`). 2. **Resolver Implementation**: - Provide resolver functions that cleanly delegate data fetching to batching loaders. 3. **DataLoader Batch Optimization**: - Implement batch-loading functions that combine multiple item IDs across the request lifecycle into a single bulk SQL `WHERE id IN (...)` query. 4. **Security & Guardrails**: - Implement query complexity analysis and depth limiting to prevent malicious recursive queries from exhausting server resources. ## Deliverables: - Complete GraphQL SDL schema. - DataLoader implementation in Python/Node. - Query depth limiting middleware configuration.