Agent Gateway

OpenAI Agents SDK Through a Gateway: Models, Budgets, MCP

OpenAI Agents SDK Through a Gateway: Models, Budgets, MCP

The OpenAI Agents SDK sends every model call through an OpenAI client, so one base URL change routes an agent workflow through an AI gateway. This guide shows the working code for Bifrost, then adds non-OpenAI models, failover, per-agent budgets, MCP tools, and tracing.

Agentic AI Security: Risks and Runtime Controls

Agentic AI Security: Risks and Runtime Controls

Agentic AI security is the discipline of controlling what autonomous agents can call, which credentials they hold, and how their actions are recorded. This guide maps six agent-specific risks to OWASP guidance and to the runtime controls an AI gateway enforces.

Agent Gateway vs LLM Gateway vs MCP Gateway: Key Differences

Agent Gateway vs LLM Gateway vs MCP Gateway: Key Differences

An agent gateway governs agent-to-agent calls, while an LLM gateway governs model calls and an MCP gateway governs tool calls. This comparison explains what each layer controls, where they overlap, and how Bifrost brings models, tools and agents into one gateway.

A2A Protocol: How to Run Agent Traffic Through a Gateway

A2A Protocol: How to Run Agent Traffic Through a Gateway

The A2A protocol is an open standard that lets AI agents discover each other, exchange messages, and hand off tasks. This guide covers its core objects and transports, then shows how to route, govern, and trace A2A traffic through Bifrost Agent Gateway.

Non-Human Identity for AI Agents at the Gateway

Non-Human Identity for AI Agents at the Gateway

A non-human identity is a credential and policy that belongs to software rather than a person. This guide explains why every AI agent needs its own, how virtual keys scope and budget it, and how Bifrost Agent Gateway handles credentials when one agent calls another.

ABAC vs RBAC for AI Agents and LLM Access

ABAC vs RBAC for AI Agents and LLM Access

ABAC vs RBAC is the choice between granting access by job role or by evaluating attributes of the caller, resource, and context. This guide compares both models and shows how to apply them to LLM, MCP tool, and AI agent access at the gateway.