The only gateway for your entire AI strategy
Secure, connect, and observe your entire AI ecosystem, from LLMs to agents, through a single point of control: agentgateway.

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Invested in open source
We are deeply committed to the open-source community, creating and leading foundational projects that define the future of AI and cloud-native connectivity.
Your infrastructure will crumble under AI workloads
Built from the ground up to meet the unique requirements of AI and agentic protocols, agentgateway supports the evolving protocols that legacy gateways can't, giving you a future-proof foundation for agentic connectivity.



Engineered for AI connectivity

AI Gateway
LLM provider keys are high-value targets - sharing them across teams increases the blast radius from compromise and creates unnecessary risk. Agentgateway enterprise secures keys in centralized storage, integrates with enterprise IAM, and supports multiple auth protocols (API Key, JWT, OAuth/OIDC) to secure access and implement fine-grained authorization.
Without guardrails, LLMs can be manipulated into harmful or unsafe behavior. Agentgateway enterprise enforces inline protections on prompts and responses, integrates with provider moderation endpoints, and allows custom semantic guardrails via extensions.
Treating LLMs as just another API call limits your ability to monitor critical context-specific telemetry on LLM performance, activity, and cost reporting. Agentgateway enterprise provides real-time logging, detailed consumption metrics, and end-to-end tracing with OpenTelemetry, enabling precise visibility into model behavior and cost.
LLM workloads can spiral quickly, leading to unexpected costs or LLM provider throttling, potentially leading to intermittent outages and availability issues.. Agentgateway enterprise applies request and token-based rate limits to apply backpressure on clients to prevent hitting provider rate limits or overrun budget allocations — ensuring predictable, sustainable consumption.
Changing your model or provider should not require expensive and time consuming changes to application logic. Agentgateway enterprise standardizes LLM access with a uniform API, allowing for seamless transition between models and providers to optimize for performance, availability, and pricing.

Inference Gateway
Existing gateway solutions lack context awareness for routing requests to specific models. Agentgateway enterprise delivers context-aware model routing that understands request metadata and dynamically directs traffic to the right model, including fine-tuned model instances.
Fine-tuned models amplify business value, but they often break traditional routing patterns. Agentgateway enterprise supports intelligent routing to fine-tuned models, ensuring that specific users and use cases are routed to the optimal model to satisfy their request.
Accelerated infrastructure is expensive and can be underutilized when routing with traditional ingress gateways. Agentgateway enterprise allows you to route to defined inference pools that map to underlying infrastructure. Integration with llm-d allows for smart routing across prefill and decode stages — isolating compute and memory-bound operations to extract maximum efficiency from GPUs.
Long response times and token delays frustrate users and waste resources. Agentgateway enterprise uses real-time inference metrics to route requests to models with available capacity, reducing latency and time-to-first-token while improving overall responsiveness.
When model capacity is maxed out, standard ingress treats all requests equally — putting critical LLM integrations at risk. Agentgateway enterprise supports priority scheduling, enabling organizations to set policies by use case and model so mission-critical requests are always served first.

Agent Gateway
The landscape of MCP tool server security is mixed at best, creating an environment ripe for exploit and attack when integrating with community tool servers. Agentgateway enterprise mitigates these risks by sandboxing tool servers, enforcing strong authentication, authorization, and policy, and integrating with enterprise IAM.
With tens of thousands of community MCP tool servers available, coming to terms with which tools you have available can be an integration nightmare. Agentgateway enterprise federates all tool servers into a central tools registry that appears as a single, virtualized MCP tool server to clients.
When presented with too many tools, the quality of agent performance degrades substantially. Following a principle of least privilege, agents and MCP clients should only see the tools they need to perform their job. Agentgateway enterprise selectively exposes tools based on policy, dynamically adjusting discovery and access so agents only see the tools they’re authorized to use. This minimizes confusion while isolating tool servers for security and stability.
Debugging agent-to-agent or agent-to-tool behavior in a world of tool sprawl is time consuming and error prone. Agentgateway enterprise centralizes telemetry collection and reporting to deliver deep metrics, logging, and tracing for every interaction - eliminating the need to dig into individual tool server implementations for answers.
Most enterprises already have valuable APIs, but custom development is costly to integrate them into MCP. Agentgateway enterprise automatically imports and exposes REST APIs as tools using their OpenAPI definition, giving agents secure, observable, and governed access instantly without additional coding.
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