[ PERFORMANCE AT A GLANCE ]
[ THE PROBLEM ]
Claude Code is powerful out of the box for individual developers. But scaling it across an engineering organization surfaces problems that Anthropic doesn't solve.
No way to track which teams, projects, or developers are driving Claude Code spend. Budgets are managed manually.
When Anthropic hits rate limits or has an outage, every developer using Claude Code stops working. No fallback, no failover.
Sensitive data, PII, and internal code flow freely through the API. No content policies, no redaction, no audit trail for compliance.
No centralized view of requests, token usage, latency, or error rates. Platform teams fly blind when rolling out AI tooling org-wide.
[ HOW IT WORKS ]
Set one environment variable to route Claude Code through Bifrost, developers work unchanged while platform teams gain full control over budgets, guardrails, failover routing, and real-time observability across 20+ providers.
Nothing changes. Set one environment variable and Claude Code works exactly as before. Same API, same workflow, same speed.
Full control. Set budgets per team, enforce guardrails, configure failover routes, and get real-time observability across every Claude Code request in the organization.
[ CORE CAPABILITIES ]
Bifrost manages request routing transparently, giving your entire engineering org centralized visibility, budget management, access controls, guardrails, and model performance.
Track LLM spend per request with breakdowns by provider, model, team, and developer. Virtual keys enforce team-level budgets. Semantic caching reduces costs on repeat queries.
LLM cost control + budgetsAutomatic failover across Anthropic, AWS Bedrock, and Google Vertex AI when rate limits or outages hit. Adaptive load balancing keeps throughput stable even under heavy load.
99.999% uptime targetEnforce content policies, PII redaction, and safety checks before requests reach the model. Role-based access controls and rate limits per team provide fine-grained LLM governance across the organization.
AWS Bedrock + Azure AIBuilt in Go for production workloads. Bifrost adds only 11µs mean overhead at 5,000 requests per second, making it 50x faster than Python-based gateways. Coding workflows stay fast at scale.
11µs @ 5K RPSEvery Claude Code request is logged with full metadata including user, team, provider, route, token count, and latency. Filter and export through the dashboard or push to any observability stack via OpenTelemetry.
OTEL nativeAPI keys for all providers live in one place. Integrate with HashiCorp Vault for secure key storage or manage them directly in Bifrost. SSO support for Google, GitHub, and enterprise identity providers.
Vault + SSO ready[ SETUP ]
No SDK changes, no plugin installation, no developer workflow disruption.
Bifrost runs as a standalone Go service. Teams deploy it in-VPC or via managed hosting. No agent installation on developer machines.
Developers set one environment variable. Claude Code sends all requests through Bifrost without any code changes or plugin installation.
Set team budgets, apply guardrails, configure provider fallbacks, and view real-time analytics, all from Bifrost's web interface. No code required.
[ COMPARISON ]
| Feature | Claude Code (standalone) | Claude Code + Bifrost |
|---|---|---|
| Multi-model support | No | 20+ providers |
| MCP tool gateway | No | Full MCP injection |
| Cost tracking | No | Real-time per-request |
| Provider failover | No | Automatic across providers |
| Semantic caching | No | Reduce costs and latency |
| Team budgets | No | Virtual keys + limits |
| Request observability | No | Full log trail + OTEL export |
| Gateway latency | N/A | 11µs at 5,000 RPS |
[ BUILT FOR PRODUCTION ]
Bifrost ships with the full set of controls platform teams expect before rolling out AI tooling organization-wide.
Requests reroute seamlessly when a provider fails or hits rate limits.
Traffic distributes intelligently based on real-time health signals.
Repeat or near-identical queries resolve instantly, cutting costs and reducing latency.
Create separate virtual API keys for each team with independent limits.
Enforce content policies, PII redaction, and safety checks.
Complete, tamper-evident record of every request for compliance.
Authenticate via Google, GitHub, Okta, or any SAML/OIDC provider.
API keys stored in HashiCorp Vault, never touch developer machines.
Horizontal scaling with zero downtime across multiple nodes.
AI generates Python to orchestrate multiple MCP tools in one execution.
Threshold-based alerts for cost overruns, rate limits, and errors.
Inject filesystem tools, database connectors, and custom integrations.
[ AGENTIC WORKFLOWS ]
Bifrost connects Claude Code to filesystem tools, databases, web search, and custom integrations via Model Context Protocol without modifying the Claude Code client or adding configuration steps on the developer side.
Teams test code across Claude Sonnet, GPT-4, and Gemini from the same Claude Code workspace. Model performance and cost comparisons happen in real time inside Bifrost's dashboard.
Claude Code combines with MCP-connected tools for database queries, API testing, deployment scripts, and custom integrations all routed and monitored through a single gateway.
Repeat or near-identical queries across developers resolve instantly from cache. Teams running large codebases see cost savings on common operations like code explanations and documentation generation.
[ USE CASES ]
Platform teams set department-level budgets for Claude Code usage. Real-time cost tracking surfaces which teams, projects, or developers are driving LLM spend. Automated alerts fire when budgets approach limits.
Engineering teams route the same Claude Code workflow through Claude Sonnet, GPT-4, and Gemini to compare code quality, latency, and cost. Bifrost logs performance metrics for each provider.
Organizations in healthcare, finance, or government use Bifrost's guardrails to enforce PII redaction and content policies. Audit logs provide tamper-evident records for SOC 2, HIPAA, and GDPR compliance.
Teams running Claude Code at scale rely on Bifrost's automatic failover and load balancing to maintain 99.999% uptime. When Anthropic hits rate limits, requests automatically route to Bedrock or Vertex AI.
Early-stage teams use Bifrost's LLM gateway to experiment with multiple providers without vendor lock-in. Semantic caching cuts costs and latency during rapid prototyping.
Developers connect Claude Code to databases, APIs, and deployment pipelines via MCP. Bifrost handles tool injection transparently, enabling automated database migrations and cloud deployment scripts.
[ GOVERNANCE & COMPLIANCE ]
Bifrost ships with the governance features and compliance certifications platform teams need before rolling out AI tooling organization-wide.
Define teams, roles, and environment-specific access at the organization level. Developers, platform engineers, and finance teams each get appropriate visibility and control.
Every request, policy enforcement action, and configuration change is logged with full context. Export audit trails to your SIEM or compliance platform.
Bifrost's guardrails detect and redact sensitive information like SSNs, credit card numbers, and API keys before requests reach the model.
Deploy Bifrost entirely within your VPC for maximum security and data control. All LLM requests stay within your network perimeter.
[ BIFROST FEATURES ]
Everything you need to run AI in production, from free open source to enterprise-grade 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 ]
Change just one line of code. Works with OpenAI, Anthropic, Vercel AI SDK, LangChain, and more.
[ FAQ ]
Bifrost integrates through a single environment variable (ANTHROPIC_BASE_URL). Developers point Claude Code at the Bifrost gateway, and all requests are routed, logged, and governed transparently. No plugins, no code changes, no workflow disruption.
Yes. Bifrost supports 20+ providers including Anthropic, AWS Bedrock, Google Vertex AI, OpenAI, and more. You can configure automatic failover so if Anthropic hits rate limits, requests transparently route to Bedrock or Vertex AI.
Managing AI spend across multiple teams requires the granular governance tools provided by an LLM gateway. Bifrost provides virtual keys with per-team budgets, real-time cost tracking per request, and automated alerts when budgets approach limits. Enterprise teams get a centralized dashboard showing spend by team, project, and developer.
Bifrost adds approximately 11µs of gateway overhead per request at 5,000 RPS. This is effectively invisible in the context of LLM response times that typically range from hundreds of milliseconds to several seconds.
Bifrost includes PII redaction, content policy enforcement, role-based access control, SSO integration, complete audit trails, and in-VPC deployment. All requests are logged with metadata for SOC 2, HIPAA, and GDPR compliance.
