Frosty AI is a unified platform that helps teams manage large language models (LLMs) across multiple providers—improving reliability, cost, and performance.
Frosty AI empowers teams to manage, optimize, and scale AI operations effortlessly with multi-LLM routing, advanced analytics, and AI-driven insights—all in one platform.
Everything is centralized within Frosty's secure, easy-to-use platform.
With Frosty AI, you can:
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Multi-Provider LLM Routing:
Seamlessly connect and route prompts across multiple providers like OpenAI, Anthropic, and Mistral using a simple web-based interface. -
Routing Rules and Failover:
Optimize for cost, performance, or reliability with rule-based routing and automatic provider failover. -
Real-Time Analytics and Observability:
Track token usage, costs, latencies, and model performance in real time across all your AI interactions. -
SDKs and API Integrations:
Easily integrate Frosty into your apps or workflows using our Python SDK, REST API, Make templates, and n8n nodes. -
Templates for Fast Deployment:
Deploy ready-to-use starter templates to accelerate your first Frosty AI integration with Python, JavaScript, Make, n8n, and more. -
Continuous Platform Enhancements:
Frosty AI regularly adds new models, providers, templates, and features to help you stay ahead in AI innovation.
Frosty AI Terms
Organization
The top-level entity that a company or enterprise creates when they sign up for Frosty AI. This is where all company-wide settings and management take place.
Workspaces
Sub-divisions within an Organization, tailored for different departments, teams, or projects. Workspaces serve as isolated environments where specific groups can manage their LLM interactions, analytics, and configurations independently.
Routers
The core feature within a Workspace. Routers are responsible for intelligently directing requests to different LLM providers based on performance, cost, or custom rules—without changing your application code.
Multiple Routers in a Workspace
You can create multiple Routers within a single Workspace to:
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Task-Specific Routing:
Use different Routers optimized for support bots, technical writing, creative generation, etc. -
A/B Testing:
Test multiple models/providers side-by-side and track performance and cost. -
Redundancy and Failover:
Route requests to backup providers if your primary model fails, ensuring high availability.
This flexibility allows teams to maximize performance, reduce downtime, and manage costs effectively.
Providers
The LLM providers you can connect and route traffic between.
Examples include OpenAI, Anthropic, Meta, and Mistral, with more coming soon (including the ability to bring your own models).
Resources
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Frosty Templates 🚀 – Deploy faster with ready-to-use examples