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engineering · 1 min read

Streaming Responses Through the Gateway

Streaming makes AI feel fast. Gateway streaming preserves perceived latency while keeping observability and budgets intact.

BABhogar AI TeamProduct & Engineering

Streaming is the difference between AI that feels instant and AI that feels slow. A naive proxy breaks streaming or kills observability; a proper gateway preserves both.

Why it matters

The hard problem is keeping per-token latency low while still emitting traces, enforcing budgets and applying guardrails - without buffering the whole response.

How Bhogar AI approaches it

Bhogar AI gateway streams tokens end-to-end with on-the-fly guardrail evaluation, per-token telemetry and budget enforcement. SSE and WebSocket transports both supported.

  • End-to-end token streaming via SSE and WebSocket
  • On-the-fly guardrail evaluation
  • Per-token telemetry without buffering
  • Cost tracking on partial completions
  • Cancellation propagated to upstream

What you get

User-facing chat features behind the gateway match direct-API perceived latency while keeping all platform benefits.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.