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Smart LLM Routing: Picking the Optimal Model per Request

Smart LLM Routing: Picking the Optimal Model per Request

Smart LLM routing in production cuts cost and latency by matching each request to the right model. Learn how Bifrost routes at the gateway layer. Every production AI application eventually hits the same wall: the team picked one default model, costs keep climbing, and latency on simple requests is indistinguishable

Enterprise AI Gateway: Per-User Rate Limiting, Budget Controls, and Automatic Fallbacks

Enterprise AI Gateway: Per-User Rate Limiting, Budget Controls, and Automatic Fallbacks

How an enterprise AI gateway enforces per-user rate limiting, budget controls, and automatic fallbacks to keep LLM spend and uptime predictable at scale. Enterprise LLM usage is scaling faster than the controls built to govern it. Platform teams are fielding the same three problems at once: one agent or

How to Reduce MCP Tool-Call Token Costs 50%+ with Code Mode

How to Reduce MCP Tool-Call Token Costs 50%+ with Code Mode

MCP tool-call token costs explode as agents add servers. Code Mode cuts token usage 50%+ by letting models write code instead of calling tools directly. MCP tool-call token costs have become one of the largest, least-visible line items in production AI spend. Every time an agent connects

How to Govern MCP Access Across Teams, Customers, and Third-Party Integrations

How to Govern MCP Access Across Teams, Customers, and Third-Party Integrations

MCP access governance requires scoped credentials, tool-level permissions, and audit trails. Learn how to govern MCP access across teams and integrations. The Model Context Protocol (MCP) has become the de facto standard for connecting AI agents to external tools, data sources, and business systems. As production deployments grow, MCP

AI Agent Audit Logs: Full Visibility Over Tool Usage

AI Agent Audit Logs: Full Visibility Over Tool Usage

AI agent audit logs give enterprise security teams full visibility over which tools agents call, with what arguments, and who authorized each execution. Security teams now own a new attack surface: autonomous AI agents calling tools through Model Context Protocol (MCP) servers, vendor APIs, and internal systems. Without AI agent

Cutting MCP Token Costs by 92% at 500+ Tools

Cutting MCP Token Costs by 92% at 500+ Tools

MCP tool lists blow up context windows as agents scale. Here is how Bifrost's Code Mode cuts token costs by up to 92.8% at 500+ tools, verified in benchmarks. MCP token costs are the quiet infrastructure bill that surprises every serious AI team. Agents that worked fine

Classic MCP vs Code Mode: A Side-by-Side Comparison

Classic MCP vs Code Mode: A Side-by-Side Comparison

Compare Classic MCP vs MCP Code Mode across token cost, latency, context footprint, and accuracy. See how Bifrost's Code Mode scales multi-server agent workflows. Production agents rarely live on a single MCP server. They route between a search server, a filesystem server, a CRM server, and three