How do you implement agentic AI for automated GraphQL query cost estimation?
GraphQL query cost estimation agents calculate the computational cost of queries before execution to prevent resource abuse. Configure agents with access to GraphQL schema definitions, resolver complexity data, and query analytics. The agent assigns cost weights to each field, type, and connection in the schema based on resolver complexity and data retrieval patterns. Implement query analysis that traverses the query tree and sums field costs accounting for list multiplications and nested connections. Set configurable cost limits per user tier and reject queries exceeding thresholds with helpful error messages. Support query optimization suggestions for over-cost queries. Track actual versus estimated costs to calibrate cost weights. Generate API usage reports showing query cost distributions and top consumers. Implement rate limiting based on cumulative query cost rather than simple request counts.