LLM Router

Software Layer

Route every AI query to the right model.

The LLM Router software layer sits between your applications and every major LLM provider. Cost optimization, data sovereignty controls, automatic failover — without changing your application code.

Request a Quote ← Back to LLM Router

One API. Every LLM provider. Automatic cost optimization.

Your applications call a single endpoint. The routing layer handles provider selection, authentication, failover, and response normalization — transparently, in real time, based on rules you define.

Core Capabilities

Everything the routing layer does.

Cost Optimization Routing

Each query is scored by complexity. Simple queries route to fast, cheap models. Complex queries route to premium models. You define the thresholds — we enforce them automatically.

Data Sovereignty Controls

Tag data categories as sensitive. Queries matching those categories are automatically routed to your on-premise GPU — never sent to a cloud LLM. Configurable per team, per project, per data type.

Automatic Failover

If a provider experiences downtime or latency spikes, traffic automatically shifts to your configured fallback. No manual intervention. No app changes required.

Cost Dashboard

Real-time visibility into per-provider spend, query volume, latency, and routing decisions. Monthly reporting available for budget planning.

Unified API

Your applications call one endpoint. The router handles provider selection, authentication, and response normalization. Switching providers requires zero code changes.

Access Controls & Audit Log

Role-based access for routing policy changes. Complete audit log of every routing decision — provider selected, latency, cost, and sensitivity classification.

Supported Providers

Route across any LLM.

OpenAI

GPT-4o
GPT-4
o1
o3-mini

Anthropic

Claude 3.5 Sonnet
Claude 3 Opus
Claude 4

Google

Gemini 1.5 Pro
Gemini 2.0 Flash

Mistral AI

Mistral Large
Mixtral 8x7B

Meta / Llama

Llama 3.1 405B
Llama 3.2

Self-hosted

Any Ollama model
vLLM deployments
Custom endpoints

New providers added as they become production-ready. Custom endpoint integration available on request.

How Routing Works

Every query, optimally placed

Simple queries

Example: Summarize this paragraph. Classify this support ticket.

Routes to: Fast, cheap model (e.g., GPT-4o mini, Mistral Small)

Result: ~90% cost reduction vs. GPT-4

Complex queries

Example: Analyze this legal document. Generate a detailed technical specification.

Routes to: Premium model (e.g., Claude 3.5 Sonnet, GPT-4o)

Result: Full capability when it matters

Sensitive queries

Example: Any query matching your data sovereignty rules (PII, confidential data, etc.)

Routes to: On-premise GPU — never leaves your network

Result: Full data sovereignty compliance

Integration

Zero application changes required

LLM Router exposes a unified API compatible with the OpenAI API format. If your application already calls OpenAI, switching to LLM Router requires changing one line: the base URL.

OpenAI-compatible API — no SDK changes

REST and streaming support

Compatible with LangChain, LlamaIndex, and most AI frameworks

Python, Node.js, and REST client libraries

On-premise deployment — runs in your infrastructure

SSO and LDAP integration for enterprise access control

Request a Demo

# Before: Direct OpenAI call

client = OpenAI(

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

)

# After: LLM Router

client = OpenAI(

base_url="https://llm.your-company.com/v1"

)

# Everything else stays the same

response = client.chat.completions.create(

model="gpt-4o",

# router selects optimal provider

messages=[...]

)

Ready to take control of your AI costs?

Talk to our team about your AI usage, data requirements, and provider mix.

Request a Quote ← Hardware Layer