ModelMUX • Local Key Vault

Route any model safely, with keys that never leave your control.

ModelMUX is a policy-driven control layer for model access. Teams pick models, define routing rules, and export a local vault file. The portal never stores raw provider keys.

Create Account Open Portal
Local VaultKeys stay on your machine, not our servers.
Stable RoutingOne Routing Key per model, consistent everywhere.
Simple PlansSet cost, context, and latency guardrails.

What ModelMUX Offers

A unified platform to discover, compare, and operationalize AI models without scattered tools or complex setup.

Unified Model Access

Work with multiple model providers from one place and manage selection through clear routing policies.

Workflow Enablement

Connect model choices to real business flows so teams can move from experiments to production quickly.

Decision-Ready Comparison

Compare model behavior, speed, and cost to choose the right model for each use case with confidence.

Core Capabilities

Built to support practical AI adoption across technical and non-technical teams.

Multi-Model Access

Access and orchestrate different models through one control layer.

Model Comparison

Evaluate outputs and performance signals to identify best-fit models per task.

Scalable Adoption

Start small, then scale governance, reliability, and performance as usage grows.

Democratizing AI

ModelMUX is designed to make advanced AI usable for more people, not only specialist teams. By reducing operational complexity and centralizing model access, we help organizations bring AI capabilities to product teams, analysts, operators, and decision-makers in a responsible way.

Who It Is For

Startups

Build and iterate AI-powered features faster with less integration overhead.

Enterprises

Adopt AI at scale with clearer controls for reliability, cost, and consistency.

Business Teams

Enable analysts, creators, and operations teams to use AI effectively in daily workflows.

How It Works

Four steps, no extra infrastructure. Configure once, then route confidently.

1. Pick modelsSelect models in the catalog and add them to your library.
2. Add routing keysCreate Routing Keys per model and add model metadata.
3. Define a planSet cost, context, and latency rules in My Config.
4. Export vaultDownload JSON/YAML/XML with keys stored locally.

Key Features

Everything you need to orchestrate models safely and intelligently.

🧠 Multi-Model Orchestration

Integrates multiple LLM providers (local + cloud), supports parallel and fallback execution, and enables dynamic load balancing between models.

🔀 Intelligent Routing Engine

Routes by task type, cost, latency, and model performance history — and improves routing decisions over time.

🔒 Privacy-First Design

Local-first processing where possible, sensitive data filtering and redaction, configurable exposure policies, and secure prompt handling.

📊 Analytics & Observability

Tracks latency, cost per request, and model accuracy (via feedback loops), with dashboards for usage insights, model comparison, and routing efficiency.

⚙️ Modular Architecture

Plug-and-play model adapters, extensible routing strategies, and an API-first design for integration.

Telemetry & Optimization

Visibility that respects privacy and keeps sensitive data off the platform.

  • Zero-effort telemetry
  • Multi-model orchestration
  • Cost and performance insights — without storing or inspecting sensitive user data.
  • Consent-Based Optimization Mode

Typical Use Cases

From startups to enterprise teams, these workflows show up repeatedly.

💬 AI Assistants

Route to higher-quality models for complex prompts while keeping costs in check.

Support bots Internal copilots

🧪 Experimentation

A/B test providers safely with controlled routing keys and plan limits.

Model bakeoffs Latency trials

📚 Knowledge Workflows

Guarantee context window requirements for long documents and retrieval tasks.

RAG pipelines Summarization

Product Snapshot

A quick peek at how the portal feels when you wire up models and plans.

Model Library View

Group models, add routing keys, and set cost/latency notes.

SELECTED: gpt-4o, claude-3.5, llama-3
ROUTING_KEYS: SUPPORT_BOT, RESEARCH_ASSIST
COST_LIMIT: $0.006 / 1K

Plan Config View

Define routing mode, context guardrails, and export vault.

MODE: priority
MIN_CTX: 32K | MAX_LAT: 900ms
VAULT_EXPORT: YAML

What Teams Say

Short, honest quotes from teams running multi-model stacks.

"We finally stopped hardcoding provider keys in services. The vault workflow is clean and fast."

CTO, Fintech Risk & compliance team

"Routing Keys let us switch models in minutes without redeploying everything."

Platform Lead Enterprise AI team

"Cost guardrails saved us during a traffic spike. The plan config is dead simple."

Head of AI Ops High-growth startup

Pricing (Early Access)

Simple tiers while the platform is evolving. Talk to us for custom needs.

Starter

$0

For evaluation and solo builders.

  • 1 workspace
  • Up to 5 models
  • Local vault export

Team

$49

For growing teams shipping AI features.

  • Unlimited models
  • Plan guardrails
  • Priority support

Enterprise

Custom

Security, governance, and scale.

  • SSO / SCIM
  • Dedicated onboarding
  • Private deployment options

Developer Quickstart

Use the SDK for ergonomic routing, or call the API directly.

SDK (Python)

Sync config once, then route locally using your vault file.

from modelmux_sdk import ModelMuxClient

client = ModelMuxClient(
  vault_path=\"./modelmux_vault.json\",
  portal_base_url=\"https://your-portal.com\",
  portal_api_key=\"mmux_...\"
)

resolved = client.call(\"SUPPORT_BOT\", {
  \"messages\": [{\"role\":\"user\", \"content\":\"Hello\"}]
})
# Use resolved[\"provider\"], resolved[\"model\"], resolved[\"api_key\"], resolved[\"payload\"] to call your provider.

Simple API

POST to the gateway with your SDK key and routing rules.

curl -X POST https://your-portal.com/portal/api/gateway/ \\
  -H \"Authorization: Bearer mmux_...\" \\
  -H \"Content-Type: application/json\" \\
  -d '{
    \"routing\": {\"max_cost_per_1k_input\": 0.006},
    \"messages\": [{\"role\":\"user\",\"content\":\"Hello\"}]
  }'
Ready to start routing?

Create your library, define a plan, and export your local vault in minutes.

Get Started View My Model Library