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API7 Gateway 3.10.8 makes distributed and AI rate-limit decisions easier to account for, diagnose, and upgrade safely.

Learn how AI gateway rate limiting controls requests, tokens, concurrency, models, providers, users, teams, streaming workloads, retries, and AI spending.

Choose local or shared Redis rate-limit counters by balancing fleet-wide accuracy, latency, dependency risk, and failure behavior.

API7 Gateway 3.10.6 adds cost-aware GraphQL rate limiting so teams can budget backend work instead of counting every request equally.

Secure MCP tool calls in AISIX with upstream authentication, per-server rate limits, AISIX Cloud budgets, and bidirectional guardrails for AI agent workflows.

Configure and verify AISIX request, token, and concurrency limits across callers, teams, models, providers, and AISIX Cloud budgets.

Learn why autonomous AI agents need API Gateway policies for traffic, cost control, and operational safety.

Explore the challenges of implementing rate limiting in GraphQL APIs, understand the roles of reverse proxies and API gateways, and learn how to calculate query costs.