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Top API Gateways for AI Applications and Agentic Workflows

8.5 relevance
Score Breakdown
technical depth
8
novelty
6
actionability
9
community
6
strategic
6
personal
9

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Directly addresses API gateways for AI workflows with high actionability and depth.

2026-05-31 AI/ML dev.to
Top API Gateways for AI Applications and Agentic Workflows
Summary

API gateways are evolving to handle AI-specific traffic patterns like streaming responses, token-level rate limiting, and prompt cost tracking. Products such as Kong and Portkey now offer native support for agentic workflows, including multi-step orchestration and fallback routing. Specialized gateways like Helicone provide observability into LLM calls, while general-purpose gateways add AI-focused plugins for caching and safety checks.

Key Takeaways
  • Evaluate your gateway's support for token-based rate limiting and streaming before scaling agentic workflows beyond prototypes.
Why it matters

For engineers building multi-agent systems, choosing an API gateway that understands token budgets and streaming semantics is critical to avoid runaway costs and maintain low-latency orchestration across LLM providers.

Author

Hadil Ben Abdallah

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