Top 5 AI Gateway Platforms That Work With Claude Code

Claude Code routes every model request to whatever base URL it is pointed at, which means a single configuration value decides where your team's coding traffic goes and who controls it. That design makes an AI gateway for Claude Code the natural place to enforce budgets, add failover, and see what your developers are actually spending. Bifrost, the open-source AI gateway built in Go by Maxim AI, is a drop-in replacement that takes over that base URL and adds 1000+ models, automatic failover, semantic caching, and full observability without changing how developers work. Below are the five platforms worth evaluating, starting with the one we build.

Why Use an AI Gateway with Claude Code?

An AI gateway centralizes governance, failover, cost control, model choice, and observability for Claude Code. Instead of every developer holding a raw provider key, requests flow through one endpoint where you enforce budgets, retry failed calls against a backup provider, cache repeat queries, and log every request. This is the same value Anthropic describes for gateways in the official Claude Code documentation.

Without a gateway, a provider outage stops a coding session cold, spend is invisible until the monthly invoice arrives, and every developer manages their own key. A gateway turns those problems into configuration. Bifrost, for example, applies weighted load balancing and automatic fallbacks so a 5xx error from one provider silently reroutes, and it centralizes spend controls through virtual keys and governance rather than trusting each machine to behave.

What to Look for in an AI Gateway for Claude Code

Not every gateway fits a coding-agent workload. The criteria that matter most for Claude Code are:

• Anthropic-compatible base-URL swap. Claude Code should connect by changing one URL, with no code changes, through a true drop-in replacement.
• Multi-provider failover. Automatic fallbacks and load balancing keep sessions alive when a provider degrades.
• Per-developer budgets and rate limits. Enforce spend caps per developer or team with budget and rate controls.
• Caching. Semantic caching cuts cost and latency on repeated queries.
• MCP governance. A central MCP gateway to govern which tools Claude Code can reach.
• Observability. Native metrics and tracing through Prometheus, OpenTelemetry, and Datadog over your Claude Code traffic.

1. Bifrost

Bifrost is the open-source, high-performance AI gateway built in Go by Maxim AI, and it is purpose-built to sit in front of coding agents like Claude Code. You point Claude Code at Bifrost by changing the base URL, and its Anthropic-compatible and OpenAI-compatible APIs mean nothing else in your setup changes. From that single endpoint you reach 1000+ models across providers and gain reliability and governance features that raw provider keys cannot offer. At roughly 11 microseconds of overhead at 5,000 requests per second, it stays effectively invisible in the request path.

• Automatic failover and weighted load balancing, so a provider returning 5xx errors never interrupts a coding session.
• Semantic caching to cut the cost and latency of repeat queries.
• Governance through virtual keys with budgets and rate limits for per-developer or per-team spend control.
• Full observability across Claude Code traffic, plus an MCP gateway to centrally govern the tools Claude Code connects to.
• Enterprise deployment with in-VPC hosting, RBAC, and audit logs. See the documentation overview and the CLI agents guide to get oriented.

Best for: Bifrost is built for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. It serves as a centralized AI gateway to route, govern, and secure all AI traffic across models and environments with ultra low latency. Bifrost unifies LLM gateway, MCP gateway, and Agents gateway capabilities into a single platform. Designed for regulated industries and strict enterprise requirements, it supports air-gapped deployments, VPC isolation, and on-prem infrastructure. It provides full control over data, access, and execution, along with robust security, policy enforcement, and governance capabilities.

2. LiteLLM

LiteLLM is a widely used open-source proxy that gives applications a single interface to many model providers. Teams often adopt it to standardize calls across vendors and to add basic routing in front of their LLM traffic. It can work with Claude Code by exposing a compatible endpoint that the CLI points to.

• Broad open-source provider coverage through a unified interface.
• A self-hosted proxy model favored by teams that want to run their own infrastructure.
• A large community and frequent updates.

Best for: Teams that want a lightweight, self-hosted open-source proxy and are comfortable operating and scaling it themselves. If you are weighing the tradeoffs, this LiteLLM alternatives comparison covers where a higher-performance, governance-first gateway fits instead.

3. OpenRouter

OpenRouter is a hosted service that aggregates many models behind one API, letting developers switch between providers without managing separate accounts. It is popular for experimentation and for quickly trying different models from a single key. Claude Code can be routed to it as a hosted endpoint.

• A single hosted API spanning a large catalog of models.
• Convenient for prototyping and comparing model outputs.
• Usage-based pricing with minimal setup.

Best for: Individual developers and small teams who want fast, hosted access to many models and do not need self-hosted control. For organizations that need budgets, audit trails, and policy enforcement, a dedicated governance layer becomes the deciding factor.

4. Cloudflare AI Gateway

Cloudflare AI Gateway is a hosted gateway that adds caching, rate limiting, and analytics in front of model providers, delivered through Cloudflare's edge network. Teams already invested in Cloudflare often reach for it to add basic observability and control to AI traffic. It can front Claude Code as a compatible proxy endpoint.

• Edge-delivered caching and rate limiting.
• Request analytics and logging.
• Tight fit for organizations already standardized on Cloudflare.

Best for: Teams embedded in the Cloudflare ecosystem that want lightweight caching and analytics. Organizations that need deep failover, per-team virtual keys, and self-hosted control usually pair or replace it with a dedicated gateway such as Bifrost for enterprise.

5. Kong AI Gateway

Kong AI Gateway extends Kong's established API gateway with AI-specific plugins for routing, rate limiting, and traffic management across model providers. It appeals to platform teams that already run Kong for their broader API estate and want to bring LLM traffic under the same control plane. It can sit in front of Claude Code as a proxy.

• AI plugins layered on a mature API gateway.
• Fits organizations that already operate Kong.
• Policy and traffic controls managed alongside existing APIs.

Best for: Platform teams standardized on Kong that want to route AI traffic through familiar infrastructure. For MCP-aware control over the tools an agent can reach, a purpose-built MCP gateway and unified governance controls are worth comparing directly.

How to Connect Claude Code to Bifrost

Claude Code decides where requests go through its base URL, so connecting it to Bifrost is a configuration change, not a rewrite. Point the CLI at your Bifrost instance using the Anthropic-compatible endpoint and pass a Bifrost virtual key as the token. Because Bifrost is a drop-in replacement, everything downstream stays the same while failover, caching, and governance now apply to every request. Anthropic documents this same base-URL mechanism in its Claude Code gateway guide.

# Point Claude Code at your Bifrost gateway
export ANTHROPIC_BASE_URL="<http://localhost:8080/anthropic>"
export ANTHROPIC_AUTH_TOKEN="your-bifrost-virtual-key"

claude

Full, step-by-step instructions live in the Claude Code integration docs, and the same pattern applies to other editors such as Cursor.

Frequently Asked Questions

How do I use a custom model with Claude Code?

Point Claude Code at Bifrost through the base URL, then select any of the 1000+ supported models from a single endpoint. Bifrost handles provider authentication server-side, so you never distribute raw provider keys to developer machines.

Can I control Claude Code spend across a team?

Yes. Bifrost issues virtual keys with per-developer and per-team budgets and rate limits, so you cap and attribute spend before an invoice ever arrives.

Does Bifrost work with other coding agents?

Bifrost integrates with a broad range of coding agents and editors, including Claude Code, Codex CLI, Gemini CLI, Cursor, Qwen Code, Opencode, Zed, and Roo Code. The CLI agents overview covers each integration.

Get Started with Bifrost

Bifrost gives Claude Code one endpoint for 1000+ models, automatic failover, semantic caching, per-team governance, and full observability, with roughly 11 microseconds of overhead at 5,000 requests per second. Enterprise teams can run it in-VPC with RBAC and audit logs for regulated environments. Book a demo to see how Bifrost fits your Claude Code setup, or start from the Bifrost homepage.