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Overview

Running multiple OSS Bifrost nodes with a Postgres backend is not supported.Here is the short technical explanation:
  • Bifrost is designed to keep all critical information in memory, including provider configs, API keys, budgets, usage, and traffic distribution.
  • Once a node is initialized, it does not read this information back from the database.
  • In the Enterprise version, we use a slightly modified version of RAFT to synchronize this state in real time across nodes, while the database acts only as a dumb store.
  • Based on our current view, OSS is sufficient for startups and medium-scale teams, and can easily handle around 3,000–5,000 RPS on a single instance.
  • If you need high availability and enterprise capabilities such as real-time synchronization, the Enterprise plan is the right fit.
  • And yes, that is part of how we draw the OSS vs Enterprise line 💰.
Budgeting and rate limiting are a core feature of Bifrost’s governance system managed through Virtual Keys. Bifrost’s budget management system provides comprehensive cost control and financial governance for enterprise AI deployments. It operates through a hierarchical budget structure that enables granular cost management, usage tracking, and financial oversight across your entire organization. Core Hierarchy:
Key Capabilities:
  • Virtual Keys - Primary access control via x-bf-vk header (exclusive team OR customer attachment)
  • Budget Management - Independent budget limits at each hierarchy level with cumulative checking
  • Rate Limiting - Request and token-based throttling at both VK and provider config levels
  • Provider-Level Governance - Granular budgets and rate limits per AI provider within a virtual key
  • Model/Provider Filtering - Granular access control per virtual key
  • Usage Tracking - Real-time monitoring and audit trails
  • Audit Headers - Optional team and customer identification

Budget Management

Cost Calculation

Bifrost automatically calculates costs based on:
  • Provider Pricing - Real-time model pricing data
  • Token Usage - Input + output tokens from API responses
  • Request Type - Different pricing for chat, text, embedding, speech, transcription
  • Cache Status - Reduced costs for cached responses
  • Batch Operations - Volume discounts for batch requests
All cost calculation details are covered in Architecture > Framework > Model Catalog.

Budget Checking Flow

When a request is made with a virtual key, Bifrost checks all applicable budgets independently in the hierarchy. Each budget must have sufficient remaining balance for the request to proceed. Checking Sequence: For VK → Team → Customer:
For VK → Customer (direct):
For Standalone VK:
Important Notes:
  • All applicable budgets must pass - any single budget failure blocks the request
  • Budgets are independent - each tracks its own usage and limits
  • Costs are deducted from all applicable budgets - same cost applied to each level
  • Rate limits checked at provider config and VK levels - teams and customers have no rate limits
  • Provider selection - providers that exceed their budget or rate limits are excluded from routing
Example:

Rate Limiting

Rate limits protect your system from abuse and manage traffic by setting thresholds on request frequency and token usage over a specific time window. Rate limits can be configured at both the Virtual Key level and Provider Config level for granular control. Bifrost supports two types of rate limits that work in parallel:
  • Request Limits: Control the maximum number of API calls that can be made within a set duration (e.g., 100 requests per minute).
  • Token Limits: Control the maximum number of tokens (prompt + completion) that can be processed within a set duration (e.g., 50,000 tokens per hour).

Rate Limit Hierarchy

Rate limits are checked in hierarchical order:
For a request to be allowed, it must pass both the request limit and token limit checks at all applicable levels. If a provider config exceeds its rate limits, that provider is excluded from routing, but other providers within the same virtual key remain available.

Provider-Level Rate Limiting

Provider configs within a virtual key can have independent rate limits, enabling:
  • Per-Provider Throttling: Different rate limits for OpenAI vs Anthropic
  • Provider Isolation: Rate limit violations on one provider don’t affect others
  • Granular Control: Fine-tune limits based on provider capabilities and costs

Reset Durations

Budgets and rate limits support flexible reset durations: Format Examples:
  • 1m - 1 minute
  • 5m - 5 minutes
  • 1h - 1 hour
  • 1d - 1 day
  • 1w - 1 week
  • 1M - 1 month
  • 1Y - 1 year
Common Patterns:
  • Rate Limits: 1m, 1h, 1d for request throttling
  • Budgets: 1d, 1w, 1M, 1Y for cost control

Calendar-aligned budgets

By default, a budget rolls: after reset_duration elapses since last_reset, usage resets. With calendar_aligned: true, the budget resets at the start of each calendar period in UTC instead (same instant for every customer of that configuration). Supported reset_duration suffixes: only day (d), week (w), month (M), and year (Y). Examples: 1d → midnight UTC each day; 1w → Monday 00:00 UTC each week; 1M → first day of each month; 1Y → January 1 each year. Sub-day durations (for example 1h, 30m) cannot use calendar alignment; the API rejects invalid combinations. Calendar alignment applies to budgets on customers, teams, virtual keys, and per–provider-config budgets. You can set it when creating a budget (calendar_aligned on create) or toggle it on update (calendar_aligned on the budget in PUT requests). Turning calendar alignment on for an existing budget resets current usage to zero and snaps last_reset to the current period start.

Customer-scoped requests

Customer scoping is a Bifrost Enterprise feature. It applies to requests made with a team-attached virtual key when that team is linked to more than one customer.
In Enterprise deployments a team can be attached to multiple customers. By default, a request through a team’s virtual key charges and enforces every customer the team belongs to. To attribute a single request to one specific customer, send a customer-scope header: When a scope header is present, only the named customer is charged, rate-limited, and recorded in that request’s usage logs — the team’s other customers are left untouched. The team’s own budget, the virtual key budget, and provider-config limits are always enforced regardless of scope. Resolution rules:
  • x-bf-customer-id takes precedence over x-bf-customer-name when both are sent.
  • Surrounding whitespace is trimmed, and the header name is case-insensitive (like all Bifrost headers).
  • Send no customer-scope header to charge and enforce all of the team’s customers (the default).

Examples

Scope a chat request to a customer by ID:
Or scope by name instead:

Validation

The customer scope is validated before the request reaches a provider, and it fails closed: an invalid scope is rejected even when budget and rate-limit enforcement is otherwise skipped. A request is rejected with 400 Bad Request when the scope header is:
  • present but empty or whitespace-only,
  • an ID or name that does not match any customer, or
  • a customer that exists but is not attached to the virtual key’s team.
Example error response:

Configuration Guide

Configure provider-level budgets and rate limits using any of these methods:
The Bifrost Web UI provides an intuitive interface for configuring provider-level governance through the Virtual Keys management page.

Creating Virtual Keys with Provider Configs

  1. Navigate to Virtual Keys: Go to Virtual Keys page in the Bifrost dashboard
  2. Create New Virtual Key: Click “Create Virtual Key” button
  3. Configure Providers: In the “Provider Configurations” section:
    • Add multiple providers with individual weights
    • Set provider-specific budgets and rate limits
    • Configure allowed models per provider

Provider Configuration Interface

Virtual Key Provider Configuration InterfaceKey Features:
  • Visual Provider Cards: Each provider displays as an expandable card
  • Budget Controls: Set spending limits with reset periods per provider
  • Rate Limit Controls: Configure token and request limits independently
  • Model Filtering: Specify allowed models for each provider
  • Weight Distribution: Visual indicators for load balancing weights
  • Real-time Validation: Immediate feedback on configuration errors

Monitoring Provider Usage

Provider Usage SheetThe info sheet for the virtual key provides real-time monitoring of:
  • Budget consumption per provider
  • Rate limit utilization (tokens and requests)
  • Provider availability status
  • Usage trends and forecasting

Provider-Level Governance Examples

Example 1: Mixed Provider Budgets

A virtual key configured with multiple providers and different budget allocations:
Behavior:
  • OpenAI requests limited to 50 dollars/month at provider level + 100 dollars/month at VK level
  • Anthropic requests limited to 30 dollars/month at provider level + 100 dollars/month at VK level
  • If any provider’s budget is exhausted, all requests to that provider will be blocked

Example 2: Provider-Specific Rate Limits

Different rate limits based on provider capabilities:
Behavior:
  • OpenAI: 1000 requests/hour, 1M tokens/hour
  • Anthropic: 500 requests/hour, 500K tokens/hour
  • If any provider’s rate limits are exceeded, all requests to that provider will be blocked

Example 3: Failover Strategy

Provider configurations with budget-based failover:
Behavior:
  • Primary: Use cheap provider until $10 daily budget exhausted
  • Fallback: Automatically switch to premium provider when cheap option unavailable. To enable this, you should not send provider name in the request body, read Routing for more details.
  • Cost containment: Prevent unexpected overspend on premium resources and limit the number of requests to the premium provider

Key Benefits of Provider-Level Governance

  • Granular Control: Set specific spending limits and rate limits per AI provider
  • Automatic Fallback: Route to alternative providers when budgets or rate limits are exceeded
  • Cost Control: Track and control spending by provider for better financial oversight
  • Performance Testing: A/B testing across providers with controlled budgets
  • Multi-Provider Strategies: Primary/backup provider configurations
  • Cost-Tiered Access: Cheap providers for basic tasks, premium for complex workloads

Next Steps

  • Routing - Direct requests to specific AI models, providers, and keys using Virtual Keys.
  • MCP Tool Filtering - Manage MCP clients/tools for virtual keys.
  • Tracing - Audit trails and request tracking