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Multi-Provider LLM

Agentic workloads should not stall because one vendor is rate-limiting. DSN routes chat and agent calls across providers with failover.

Choose Claude, GPT-4o, Gemini, Groq, or Nemotron per request, or let failover pick a healthy backend when the primary fails.

The rest of the platform (PromptGuard, tools, datasets) stays the same, so swapping models does not mean rebuilding pipelines.

What this does for the business

  • Keep agents running through a provider outage.
  • Match model cost and latency to the job (chat vs. long supervisor graphs).
  • Avoid locking the analytics stack to a single LLM contract.

API

POST /api/ai/chat

Try Multi-Provider LLM on your data

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