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[ AI GATEWAY ALTERNATIVES ]

Compare AI Gateway Platforms for Production Workloads

Production-grade AI Gateway requires multi-model routing, MCP support, governance, cost tracking, scalability, and enterprise-grade security. Compare leading gateways across every capability and see why Bifrost is the best choice for your production AI needs.

[ BIFROST FEATURES ]

Open Source & Enterprise

Everything you need to run AI in production, from free open source to enterprise-grade security features.

01 Governance

SAML support for SSO and Role-based access control and policy enforcement for team collaboration.

02 Adaptive Load Balancing

Automatically optimizes traffic distribution across provider keys and models based on real-time performance metrics.

03 Cluster Mode

High availability deployment with automatic failover and load balancing. Peer-to-peer clustering where every instance is equal.

04 Alerts

Real-time notifications for budget limits, failures, and performance issues on Email, Slack, PagerDuty, Teams, Webhook and more.

05 Log Exports

Export and analyze request logs, traces, and telemetry data from Bifrost with enterprise-grade data export capabilities for compliance, monitoring, and analytics.

06 Audit Logs

Comprehensive logging and audit trails for compliance and debugging.

07 Vault Support

Secure API key management with HashiCorp Vault, AWS Secrets Manager, Google Secret Manager, and Azure Key Vault integration.

08 VPC Deployment

Deploy Bifrost within your private cloud infrastructure with VPC isolation, custom networking, and enhanced security controls.

09 Guardrails

Automatically detect and block unsafe model outputs with real-time policy enforcement and content moderation across all agents.

[ SHIP RELIABLE AI ]

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[quick setup]

Drop-in replacement for any AI SDK

Change just one line of code. Works with OpenAI, Anthropic, Vercel AI SDK, LangChain, and more.

1import os
2from anthropic import Anthropic
3
4anthropic = Anthropic(
5 api_key=os.environ.get("ANTHROPIC_API_KEY"),
6 base_url="https://<bifrost_url>/anthropic",
7)
8
9message = anthropic.messages.create(
10 model="claude-3-5-sonnet-20241022",
11 max_tokens=1024,
12 messages=[
13 {"role": "user", "content": "Hello, Claude"}
14 ]
15)
Drop in once, run everywhere.