Bifrost resources library

Benchmarks, buyer guidance, and integration playbooks for evaluating and deploying Bifrost as an LLM gateway.

Resources

  • [Performance] [Performance Benchmarks]. Live comparisons, latency metrics, and throughput data that show why Bifrost is the fastest LLM gateway.
  • [Guide] [LLM Gateway Buyer's Guide]. A comprehensive comparison of leading AI gateway platforms, capabilities, and trade-offs.
  • [Integration] [Claude Code Integration]. Enterprise controls for Claude Code with multi-provider routing, governance, and observability.
  • [CLI Agents] [CLI Coding Agents]. Enterprise controls for Claude Code, Codex CLI, Gemini CLI, and OpenCode with unified governance and multi-provider access.
  • [CLI Tool] [Bifrost CLI]. Interactive terminal tool to launch Claude Code and coding agents through Bifrost with automatic configuration and MCP integration.
  • [MCP] [MCP Gateway]. High-performance tool execution for AI agents with explicit approvals and full audit trails.
  • [Access Control] [Governance]. Virtual keys, budgets, rate limits, routing, MCP tool filtering, and enterprise RBAC with SSO for Okta and Microsoft Entra.
  • [Security] [Guardrails]. Real-time LLM validation with PII detection, content moderation, prompt injection defense, and multi-provider compliance.
  • [Migration] [Migrating from LiteLLM]. Step-by-step guide to move LiteLLM-compatible SDK traffic through Bifrost with no application code changes.
  • [Alternative] [LiteLLM Alternative]. Comparison page covering gateway performance, deployment, observability, and governance differences with LiteLLM.
  • [Free OSS] [OSS for Startups]. Open source LLM gateway with failover, caching, and 20+ providers. Apache 2.0, free for startups and SMEs.
  • [Scalability] [Enterprise Gateway for Scalability]. Scale AI workloads with model routing, circuit breaker, semantic caching, cost analytics, RBAC, guardrails, in-VPC deployment, and MCP gateway.
  • [Deployment] [Enterprise Deployment]. Deploy Bifrost in your VPC, on-premise, air-gapped, or multi-cloud with Terraform, Helm, and zero data egress.
  • [Integration] [AWS Bedrock + Bifrost]. Enterprise governance, guardrails, and multi-region failover for AWS Bedrock with native SDK compatibility.

Open Source & Enterprise

OSS Features

  • 01Model Catalog. Access 8+ providers and 1000+ AI models through a unified interface. Also supports custom deployed models.
  • 02Budgeting. Set spending limits and track costs across teams, projects, and models.
  • 03Provider Fallback. Automatic failover between providers ensures 99.99% uptime for your applications.
  • 04MCP Gateway. Centralize all MCP tool connections, governance, security, and auth. Your AI can safely use MCP tools with centralized policy enforcement. [MCP Gateway resource]
  • 05Virtual Key Management. Create different virtual keys for different use cases with independent budgets and access control.
  • 06Unified Interface. One consistent API for all providers. Switch models without changing code.
  • 07Drop-in Replacement. Replace your existing SDK with just one line change. Compatible with OpenAI, Anthropic, LiteLLM, Google GenAI, LangChain, and more. [Drop-in replacement docs]
  • 08Built-in Observability. Out-of-the-box OpenTelemetry support. Built-in dashboard for quick visibility without complex setup.
  • 09Community Support. Active Discord community with responsive support and regular updates.

Enterprise Features

  • 01Governance. SAML support for SSO and role-based access control with policy enforcement for team collaboration. [Governance resource]
  • 02Adaptive Load Balancing. Automatically optimizes traffic distribution across provider keys and models based on real-time performance metrics.
  • 03Cluster Mode. High availability deployment with automatic failover and load balancing. Peer-to-peer clustering where every instance is equal.
  • 04Alerts. Real-time notifications for budget limits, failures, and performance issues on Email, Slack, PagerDuty, Teams, Webhook, and more.
  • 05Log Exports. Export and analyze request logs, traces, and telemetry data from Bifrost with enterprise-grade data export for compliance, monitoring, and analytics.
  • 06Audit Logs. Comprehensive logging and audit trails for compliance and debugging.
  • 07Vault Support. Secure API key management with HashiCorp Vault, AWS Secrets Manager, Google Secret Manager, and Azure Key Vault integration.
  • 08VPC Deployment. Deploy Bifrost within your private cloud infrastructure with VPC isolation, custom networking, and enhanced security controls. [Enterprise deployment resource]
  • 09Guardrails. Automatically detect and block unsafe model outputs with real-time policy enforcement and content moderation across all agents. [Guardrails resource]

Drop-in replacement for compatible AI SDKs

Change one line of code to point compatible SDKs at Bifrost. Works with OpenAI, Anthropic, LiteLLM, Google GenAI, LangChain, and Vercel AI SDK. [Gateway setup docs] [Drop-in replacement docs]

OpenAIopenai.py
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),
    base_url="https://<bifrost_url>/openai",
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
Anthropicanthropic.py
import os
from anthropic import Anthropic

anthropic = Anthropic(
    api_key=os.environ.get("ANTHROPIC_API_KEY"),
    base_url="https://<bifrost_url>/anthropic",
)

message = anthropic.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello, Claude"}],
)
LiteLLMlitellm.py
import litellm

# Set the base URL to your Bifrost deployment
litellm.api_base = "https://<bifrost_url>"

response = litellm.completion(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)
Google GenAIgenai.py
import google.generativeai as genai

genai.configure(
    api_key="YOUR_API_KEY",
    transport="rest",
    client_options={"api_endpoint": "<bifrost_url>/google"},
)

model = genai.GenerativeModel("gemini-pro")
response = model.generate_content("Hello!")
  • Point the SDK base URL at your Bifrost deployment.
  • Keep API keys in your environment or secret manager.
  • See the docs for provider-specific configuration and deployment steps.

Trust

  • Open Source. Bifrost is open source under the Apache 2.0 License. [GitHub]
  • Publisher. Bifrost is published by H3 Labs Inc. and Maxim AI.
  • Compliance. The site references SOC 2 Type II, GDPR, HIPAA, and ISO 27001 signals. [Enterprise deployment]
  • Deployment. Enterprise resources cover VPC, on-premise, air-gapped, and multi-cloud use. [Enterprise deployment]

FAQ

What is Bifrost?

Bifrost is an open-source LLM gateway that introduces 11 microseconds of overhead at 5K RPS on a t3.xlarge machine. It provides a unified layer for model access, guardrails, and governance across AI systems. [Docs] [GitHub]

How is my data protected?

Bifrost offers zero-touch in-VPC deployments, so no data ever leaves your environment or passes through Bifrost/Maxim servers. [Governance] [Enterprise deployment]

Can Bifrost integrate with my existing AI stack?

Yes. Bifrost works with major LLM SDKs and frameworks. Compatible SDKs include OpenAI, Anthropic, Mistral, LangChain, LangGraph, and LiteLLM. [Drop-in replacement docs]

How much does Bifrost cost?

Bifrost is completely free and open source. For enterprise features and support, you can reach out to us at contact@getmaxim.ai or book a demo with us. [Pricing]

How can I get started with Bifrost?

You can get started with the open-source version in seconds: npx @maximhq/bifrost [Docs] [GitHub]