We're Entering the Age of AI Connectivity [Read more](/blog/news/the-age-of-ai-connectivity)Read moreProducts & Agents:

## LLM innovation without AI cost optimization is unsustainable

LLM usage isn’t cheap. Depending on the scale of your AI programs — and especially if those programs leverage Agents — overall compute and LLM token consumption can mean a major cost burden to your business.

But it doesn’t have to.

## Implement multi-layer LLM controls for end-to-end AI cost management and budget optimization

### Set strict (or flexible) token consumption limits

Enforce organization-wide token-based rate limiting and throttling to ensure that you stay within agreed-upon token consumption.

### Adopt multiple models without excess LLM token spend

Adopt multiple models, with the ability to dynamically route to the optimal model by cost, prompt semantics, latency, and more.

### Ensure agentic workflows are optimized and cost-efficient

Enforce consumption limits and cost controls across the entire AI stack — from the MCP server, to the LLM, to the various APIs and tools being called — all in one platform.

## Because AI hyper-innovation should mean hyper-growth and hyper-efficiency

## Multi-model semantic intelligence

Enforce semantic caching to have the gateway provide direct responses to similar prompts. [Enforce semantic routing](/resources/demos/kong-konnect/run-and-secure-llm-traffic)Enforce semantic routing to ensure that only the best model is chosen for the job. *Both* reduce token consumption and cost.

## MCP traffic control

MCP is great, but it results in much more LLM and consumption. Use the Kong AI Gateway to control MCP traffic and keep costs under control as you still drive innovation.

## Automate cost control

Enforce global and/or LLM-specific token-based rate limiting and throttling to control LLM token consumption and spend across your organization. Automate these policies as guardrails to ensure that no AI project goes rogue.

## Reduce overall dev time and engineering spend

Replace time-consuming, one-off application-to-LLM integrations with a single, universal API layer that any application can consume.

## Observe all AI consumption

Stand up analytics and observability dashboards that give platform and executive teams rich insight into MCP, LLM, token, and API consumption.

## Gartner® names Kong a Leader for 7th year.

## Related Resources

_Blog_

### Streamline AI Usage with Token Rate-Limiting & Tiered Access

Learn how to use Konnect and the AI Gateway to streamline LLM token consumption and control AI costs.

_Webinar_

### Drive Real AI Value with State-of-the-Art AI Infrastructure

Drive real AI value in production. Learn how with Kong.

_eBook_

### Rolling Out AI Projects in Highly Regulated Environments

What should execs and AI teams be thinking about if operating in regulated spaces?