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Sign in with GitHub or Google, mint a key, and make your first call.
Point your OpenAI base_url at BharatRouter — same SDK, same code, from any stack.
One knob — price, latency, uptime, throughput or auto — or set optimize_weights to dial the exact mix. Default or per call.
Fire one prompt at several models at once and compare answers, latency and ₹ cost — sovereign open-weight next to frontier, Sangam in the mix — then wire the winner in.
Send one prompt to a panel of models that answer in parallel; a synthesiser reconciles a single answer — open-weight or frontier, BYOK-ready, India-resident as an option.
Pin requests to India-resident routes and optimize for price, latency or uptime.
Bring your own Krutrim or OpenAI key — encrypted once, used on every request.
Plug your own OpenAI-compatible deployment in as a ₹0 fallback step.
Chain providers for reliability, then publish it as a shareable collection.
When a provider errors, traffic re-routes to the next healthy step — no downtime.
Add BharatRouter as an MCP server so agents can discover and call models.