Model routing for API Gateway is a managed traffic management layer that accepts OpenAI-compatible prompt requests, transcodes them in-flight, and routes them to specific Gemini Enterprise Agent Platform models. Model routing acts as a managed alternative to client-side proxies such as LiteLLM, providing centralized infrastructure to manage the lifecycle of AI agents.
Google for Developers Blog - News about Web, Mobile, AI and Cloud
Google Cloud API Gateway now offers a model routing feature in Public Preview, allowing developers to dynamically route traffic to models like Gemini, Claude, or OpenAI OSS-GPT without hardcoding endpoints or managing open-source proxies. Developers can easily configure these routing rules directly within their OpenAPI 3.x specifications by mapping virtual model names to specific backend targets on a shared host. Once deployed, the Gateway acts as a serverless ingress layer that accepts standard OpenAI-compatible requests, automatically transcodes the payload to the native schema of the target model, and routes the traffic on the fly.
AI gateway capabilities | Apigee | Google Cloud Documentation
Learn how to use Apigee AI gateway features to govern, optimize, and scale AI traffic.
Agent Gateway overview | Gemini Enterprise Agent Platform | Google Cloud Documentation
Secure and govern AI agent connectivity with Agent Gateway. Centralize access policies, mTLS, and Model Context Protocol (MCP) security for agent-to-agent and agent-to-tool interactions across diverse runtimes.
OpenAPI 3.x Extensions in API Gateway | Google Cloud Documentation
API Gateway accepts a set of Google-specific extensions to the OpenAPI specification that configure the behaviors of the gateway. These extensions allow you to specify API management settings, authentication methods, quota limits, and backend integrations directly within your OpenAPI document. Understanding these extensions helps you tailor your service behavior and integrate with API Gateway features.
BerriAI/litellm
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
Ambassador: Building a Control Plane for an Envoy-Powered API Gateway on Kubernetes
This article provides an insight into the creation of the Ambassador open source API gateway for Kubernetes, and discusses the technical challenges and lessons learned from building a developer-focused control plane for managing ingress or "edge" traffic within microservice-based applications.
Issue · BerriAI/litellm
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthr...
Google Sunsets Vertex AI, Launches Agent Control Plane | Awesome Agents
Google replaced Vertex AI with the Gemini Enterprise Agent Platform at Cloud Next 2026 - a full-stack control plane that assigns every agent a cryptographic ID and routes all tool calls through a central policy gateway.
freestylefly/wesight
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and custom LLM model routing.
Building Managed Agents | Gemini API | Google AI for Developers
How to create and use custom agents with managed agents in the Gemini API.
Interactions API: A unified foundation for models and agents
Google’s Interactions API is a unified interface for interacting with Gemini models and agents.
Introducing Gemini Enterprise Agent Platform | Google Cloud Blog
Gemini Enterprise Agent Platform is our new platform to build, scale, govern, and optimize agents. It integrates the model selection, model building, and agent building capabilities of Vertex AI, with new features for agent integration, DevOps, and orchestration, and security.
Pricing | OpenRouter
Transparent pricing for OpenRouter. Pay only for what you use with access to 400+ AI models. Free tier, Pay-as-you-go, and Enterprise plans available.
Google Gemini Enterprise: Vertex AI Rebrand at Cloud Next 26 | AI Automation Global
Google rebranded Vertex AI as Gemini Enterprise Agent Platform at Cloud Next 26. A2A protocol v1.0, Workspace Studio, 200+ models, 150 deployments.
