AI Gateway

Best AI Gateway to Use with Claude Code

Best AI Gateway to Use with Claude Code

Claude Code has become one of the most widely adopted AI-powered coding tools in enterprise engineering teams. Its run-rate revenue has surpassed $2.5 billion since launch, and organizations like Uber, Salesforce, and Accenture are deploying it across hundreds of developers. But scaling Claude Code beyond a handful of engineers introduces operational challenges that the tool itself does not solve: no per-developer cost attribution, no centralized access control, no multi-provider failover, and no visibility into token consumption patterns across teams and projects.

An AI gateway resolves these gaps by sitting between Claude Code and LLM providers, intercepting every API call to enforce budgets, route requests intelligently, and log usage in real time.

Why Claude Code Needs an AI Gateway at Scale

Claude Code connects directly to Anthropic's API from the terminal. For an individual developer, this works seamlessly. For a 50-person engineering organization using it daily, the operational gaps become critical:

  • No granular cost tracking. Anthropic's console provides high-level usage figures, but nothing per-project, per-team, or per-developer. On API pricing, Claude Code costs roughly $6 per developer per day on average, with heavy users reaching $100 to $200 monthly. Without a gateway, the question "where is our AI budget going?" has no clean answer
  • No centralized access control. There is no built-in mechanism to enforce rate limits, manage API key distribution, or restrict access by role across an organization
  • Single provider dependency. Claude Code routes exclusively through Anthropic's API. When Anthropic experiences rate limiting or downtime, every developer on the team is blocked simultaneously
  • No quality observability. Token spend alone does not tell you whether the AI is producing useful output. Without tracing and evaluation, costly agent loops and low-value completions go undetected

An AI gateway addresses all of these by intercepting traffic at the transport layer and applying governance, routing, and monitoring policies transparently, without requiring any changes to developer workflows.

Top AI Gateways for Claude Code

Bifrost

Bifrost is an open-source, high-performance AI gateway built in Go that provides the most complete infrastructure layer for running Claude Code at enterprise scale. In sustained benchmarks at 5,000 requests per second, Bifrost adds only 11 microseconds of overhead per request, ensuring zero perceptible impact on developer experience.

Drop-in Claude Code integration. Bifrost connects to Claude Code through a single environment variable change:

export ANTHROPIC_BASE_URL=http://localhost:8080/anthropic

All Claude Code traffic now flows through Bifrost without modifying the Claude Code client or disrupting developer workflows. Bifrost supports every Claude Code authentication method, including Claude Pro/Max OAuth, Teams/Enterprise OAuth, API key-based usage, and custom bearer token authentication for enterprise setups.

Key capabilities for Claude Code deployments:

  • Hierarchical budget controls: Virtual keys enforce spending limits at the organization, team, project, and individual developer level, preventing a single misconfigured agent loop from consuming an entire quarterly budget
  • Multi-provider routing: Route Claude Code requests across 20+ providers including Anthropic, OpenAI, AWS Bedrock, Google Vertex AI, Azure, Mistral, and Groq. Simple code edits can be routed to Claude Haiku for up to 90% cost savings versus Claude Opus
  • Cloud provider passthrough: Route Claude Code traffic through Amazon Bedrock, Google Vertex AI, or Azure via Bifrost, with the gateway handling authentication on your behalf
  • Non-Anthropic model support: Use Claude Code with models from any provider using the provider/model-name format. Override default model tiers so the Sonnet tier runs GPT-5, the Opus tier runs Gemini 2.5 Pro, or the Haiku tier runs Groq-hosted Llama
  • Automatic failover: Multi-tier fallback chains reroute traffic when a provider hits rate limits or experiences downtime, ensuring developers are never blocked
  • Semantic caching: Dual-layer caching with exact hash matching and vector similarity search reduces redundant API calls for similar coding queries, cutting costs by 15% to 30%
  • MCP gateway: Native Model Context Protocol support extends Claude Code's capabilities with external tools for filesystem access, web search, databases, and custom internal APIs, all governed through centralized tool filtering
  • Enterprise observability: Built-in Prometheus metrics and OpenTelemetry integration track token usage, cache hit rates, and provider latency by team, developer, and model
  • Enterprise security: Vault-backed key management, guardrails for content safety, and audit logs for SOC 2, GDPR, HIPAA, and ISO 27001 compliance

To explore Bifrost's Claude Code integration, book a demo or visit the open-source repository on GitHub.

Kong AI Gateway

Kong AI Gateway extends the battle-tested Kong API management platform with AI-specific plugins for LLM traffic governance. It supports routing Claude Code traffic through a configuration change to the ANTHROPIC_BASE_URL environment variable, similar to Bifrost.

  • Per-developer and per-team token consumption limits through Kong's rate limiting plugins
  • Semantic caching via the AI Semantic Cache plugin with Redis-backed vector storage
  • Full request and response metadata logging including user agent, model, token counts, and latency
  • Enterprise security features including mTLS, authentication, and API key rotation

Kong is a strong option for organizations already running Kong for traditional API management. However, it lacks Bifrost's native cloud provider passthrough for Bedrock, Vertex, and Azure, the ability to swap Claude Code's default model tiers with non-Anthropic providers, and the sub-microsecond gateway overhead that Go-based architecture delivers.

Choose an AI Gateway for Claude Code

When evaluating gateways specifically for Claude Code at scale, prioritize these factors:

  • Drop-in compatibility: The gateway should integrate with Claude Code through environment variables alone, with no changes to the CLI client or developer workflow
  • Authentication flexibility: Support for OAuth (Pro/Max/Teams/Enterprise), API keys, virtual keys, and custom bearer tokens ensures compatibility across all Claude Code account types
  • Model tier control: The ability to override Claude Code's default Sonnet, Opus, and Haiku tiers with models from any provider is critical for cost optimization
  • Hierarchical budgets: Per-developer, per-team, and per-project spending limits prevent cost surprises as adoption scales
  • Cloud provider passthrough: Native support for routing through Bedrock, Vertex, and Azure allows teams to use their existing cloud agreements and data residency requirements

Get Started with Bifrost for Claude Code

Bifrost provides the most complete AI gateway for Claude Code deployments, combining drop-in integration, multi-provider routing with model tier overrides, hierarchical budget governance, cloud provider passthrough, MCP tool management, and enterprise observability in a single open-source package that adds only 11 microseconds of overhead.

Ready to scale Claude Code across your engineering organization? Book a Bifrost demo today.

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