RootInference

The unified inference layer

One API. 500+ models. Credits that last a year.

RootInference is one OpenAI-compatible API for 500+ models from 60+ providers. Smart routing picks the best model per request, automatic failover keeps you up when providers go down — and every credit you buy stays valid a full 12 months.

base_url="https://api.rootinference.com/v1"

Routing production inference for teams shipping AI products

Meridian SystemsNordhaven BankCobalt HealthVector LogisticsAtlas Retail GroupHelio Energy

Platform

Every model, every provider, one inference layer

Integrating a model provider directly means adopting its SDK, its rate limits, its outages and its bill. RootInference sits between your app and 60+ providers, so routing, failover and spend control become platform features — not code you maintain.

Connect

One OpenAI-compatible API for 500+ models from 60+ providers. Change the base URL, keep your SDK — streaming, tool calling, structured outputs and vision included.

Route

Routing policies pick the best model and provider per request by price, latency and quality — with per-request overrides when you need control.

Failover

A continuously health-checked provider pool reroutes traffic automatically the moment a provider degrades. Better uptime than any single vendor.

Optimize

Unified analytics attribute every credit to a key, team and feature — and credits never rush you: every one stays valid a full 12 months.

Live gateway

Watch a request get routed, and a provider get benched

Every request is routed by live price, latency and health telemetry. Every token, millisecond and credit is logged and attributed — across all providers, in one place.

Tracecurl https://api.rootinference.com/v1/chat/completions
  1. Request received for anthropic/claude-sonnet-4-5, streaming on

  2. Resolved via unified schema — no client changes required

  3. Tool call emitted: get_weather, city Berlin

  4. First token in 212 ms at 96 tok/s

  5. Usage metered: 1,412 in / 388 out, priced at 0.9 credits

  6. Same request shape works on 500+ models

Tracerootinference status --watch
  1. Provider pool checked: 9 healthy, 1 degraded

  2. provider-3 degraded: error rate 7.2%, p95 latency 4.8 s

  3. provider-3 removed from rotation

  4. Traffic rerouted to provider-1 / provider-5 in 340 ms

  5. Client impact: 0 failed requests

  6. provider-3 re-admitted after 12 consecutive healthy checks

Integrations

The models and tools you already build with

Frontier and open models from OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek and more — plus first-class support for the OpenAI SDK, Vercel AI SDK, LangChain and your observability stack.

OpenAI
Anthropic
Google Gemini
Meta Llama
Mistral
DeepSeek
OpenAI SDK compatibility
Vercel AI SDK
LangChain
LlamaIndex
Langfuse

Security

Your prompts are your business — literally

RootInference never trains on your data, gives you per-provider data-policy controls, and is built GDPR-aligned with SOC 2 on the compliance roadmap.

Encryption in transit and at rest
No training on your prompts or completions
Per-provider data-policy and retention controls
Role-based access control & audit logs
SSO and SCIM provisioning
Hard spend caps and budget alerts per key

Credit validity

Credits that don't quietly expire

Prepaid AI balances are the industry's favourite breakage machine. RootInference credits — 1 credit ≈ $0.01 of inference, redeemable against OpenAI, Anthropic, Google, Meta and every other model on the platform — stay valid a full 12 months.

12-month validity

RootInference

Every purchased credit valid 12 months. Subscription credits roll over 12 months. FIFO by expiry, tracked in your dashboard.

30–90 day expiry

Typical gateways

Balances expire in 30–90 days — or the expiry clause is buried in the terms and you find out from a zeroed balance.

Pricing

Simple credit pricing across every model

1 credit ≈ $0.01 of inference. Route economy models for pennies, escalate to frontier models when the request deserves it — one balance covers all of it, valid for 12 months.

Example credit costs per workload
Inference workloadCredits
1M tokens, economy models (Llama / Mistral Small class)5–15
1M tokens, mid-tier models (mini / Haiku class)15–60
1M tokens, frontier models (GPT-5 / Opus class)150–900
Typical 10-turn chat conversation<1
RAG query with 8K context1–3
Multi-step agent run5–50
Batch-summarize 1,000 documents50–200
Dedicated throughputCustom

Starter

2,000 credits / month

$19/mo

Pro

12,000 credits / month

$99/mo

Scale

70,000 credits / month

$499/mo

Compare plans & estimate credits

Use cases

Built for teams running LLMs in production

AI startups

Ship on frontier models without lock-in — switch providers with a string change.

Platform teams

One gateway, one bill and per-team budgets across every provider.

Agent builders

Fallback chains keep long-running agent workflows alive through provider errors.

RAG & search

Run million-token context workloads on economical models — 5–15 credits per 1M tokens.

Chatbots & copilots

Latency-first routing keeps time-to-first-token low, every message.

Model evaluation

Compare 500+ models on your own traffic through one interface.

Change the base URL. Keep your SDK.

Point your existing OpenAI client at RootInference and get 500+ models, smart routing and automatic failover — in the time it takes to edit one line.