AI Developer Tools

Role Model

An open protocol for capability-aware AI routing, plus a reference router that routes between local and cloud AI models based on task, cost, and latency.

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Role Model

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What is Role Model?

Role Model is an open protocol and reference router for assigning the right AI model to the right job, enabling hybrid routing across local and cloud providers with explainable decisions.

Role Model vs Similar AI Tools

Pricing ModelFree, Custom PricingFreeCustom PricingFree, Paid
Free Credits
Key Features
  • Capability-aware routing based on task type, modalities, and tool needs
  • Hybrid routing across local/local, local/cloud, and cloud/cloud deployments
  • Routing policy with hard denies, preferences, budgets, and tie-break rules
  • GitHub Pages hosting
  • Jekyll integration
  • Markdown content support
  • Workload monitoring and anomaly detection
  • Slow query identification and optimization
  • Natural language querying to SQL translation
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
Pros
  • Open protocol with clear separation of concerns
  • Supports hybrid routing across local and cloud models
  • Free hosting with custom domain support
  • Easy setup via Git
  • Quick one-line installation and setup in 15 minutes
  • Self-hosted ensures data stays within your infrastructure
  • Open source with MIT license
  • Real-time detection and prevention
Cons
  • Requires setup and configuration of endpoints and policies
  • License restricts commercial use without separate agreement
  • Limited to static content
  • No server-side processing
  • Requires self-hosting and VPC setup
  • No free tier or trial mentioned
  • Enterprise features require paid tiers
  • Setup may require technical expertise
Best For
  • Developers building multi-model AI applications
  • Teams managing cost and latency across different AI providers
  • Developers
  • Open source projects
  • Database administrators
  • Data engineers
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security

How to use Role Model?

  1. 1Install the runtime using the provided curl or PowerShell script.
  2. 2Configure endpoint identities and profiles for your AI models.
  3. 3Define routing policies for task types and constraints.
  4. 4Start the router and send requests to the local bridge endpoint.
  5. 5Use the Pi package for simplified setup and command-line management.

Role Model Key Features

  • Capability-aware routing based on task type, modalities, and tool needs
  • Hybrid routing across local/local, local/cloud, and cloud/cloud deployments
  • Routing policy with hard denies, preferences, budgets, and tie-break rules
  • Observability artifacts recording decisions, traces, usage, and performance
  • Open protocol with durable contracts for requests, endpoints, and policies

Role Model Use Cases

  • Route simple queries to fast local models and complex tasks to capable cloud models
  • Optimize cost by falling back to cheaper endpoints when primary is degraded
  • Maintain consistent routing contracts across multiple AI providers

Role Model Pricing & Free Credits

Role Model currently operates on a Free, Custom Pricing model.

Free Tier

Free (Internal Use)

Free

Internal production use, evaluation, development, modification, and non-production redistribution permitted under BUSL-1.1

Paid Plans

Commercial License

Contact for Pricing

Required for hosted or managed third-party services, paid product embedding, and third-party commercialization

Free (Internal Use)

Free

Internal production use, evaluation, development, modification, and non-production redistribution permitted under BUSL-1.1

Commercial License

Contact for Pricing

Required for hosted or managed third-party services, paid product embedding, and third-party commercialization

Role Model Pros & Cons

Pros

  • Open protocol with clear separation of concerns
  • Supports hybrid routing across local and cloud models
  • Explainable routing decisions with observability artifacts

Cons

  • Requires setup and configuration of endpoints and policies
  • License restricts commercial use without separate agreement

What is Role Model best for?

  • Developers building multi-model AI applications
  • Teams managing cost and latency across different AI providers

Role Model FAQ

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