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]
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!"}],
)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"}],
)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!"}],
)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?
Pricing is based on the number of devices Edge runs on. Bifrost Edge is currently available in early access, and we are offering it at no cost to our existing enterprise customers. Full pricing will be released soon. [Pricing]
How can I get started with Bifrost?
You can get started with the open-source version in seconds: npx @maximhq/bifrost [Docs] [GitHub]