Introduction

ARES is a multi-provider LLM platform that gives you a single, unified API to route requests across Groq, Anthropic, NVIDIA DeepSeek, and Ollama. It handles tool calling, retrieval-augmented generation (RAG), multi-step workflows, streaming, usage metering, and multi-tenant isolation out of the box — so you can focus on building your AI application instead of stitching together provider SDKs.

Key capabilities

• Multi-provider LLM routing — Send requests to Groq, Anthropic, NVIDIA, or Ollama through one API. Switch models without changing your integration.
• Tool calling — Define tools your agents can invoke. ARES manages the tool-call loop, execution, and response assembly.
• Retrieval-augmented generation (RAG) — Ground LLM responses in your own data with built-in retrieval pipelines.
• Workflows — Chain multiple agents and processing steps into deterministic, multi-step workflows.
• Multi-tenant enterprise support — Tenant isolation, per-tenant agent configuration, API key scoping, and usage tracking at the tenant level.
• Streaming — Server-Sent Events (SSE) streaming for real-time, token-by-token responses.
• Usage metering — Track tokens, requests, and costs per tenant with built-in rate limiting and quota enforcement.

Who is ARES for?

• Platform teams building internal AI infrastructure who need a reliable, multi-provider abstraction layer.
• Enterprise clients who want managed AI agents with tenant isolation, usage visibility, and SLA guarantees.
• Developers building AI applications who want a clean API without managing provider credentials, rate limits, and failover logic themselves.

Base URL

All API requests are made to:

https://api.ares.dirmacs.com

Quick links