A2A Protocol Ready · vLLM · FastAPI
Decentralized, Sub-second
Inference Gateway
for Autonomous AI Agents
Production-grade distributed inference serving with OpenAI-compatible APIs. Route agent requests across GPU worker nodes with sub-second latency and streaming responses.
Beta target: P50 TTFT <200ms· Q4 2026
Beta Target Benchmarks
Projected inference performance for Q4 2026 GPU beta (vLLM load tests)
| Model | GPU | TTFT (P50) | TPS | Status |
|---|---|---|---|---|
| LLaMA-3-8B-Instruct | NVIDIA L4 | ~142ms | ~847 | beta target |
| LLaMA-3-70B-Instruct | NVIDIA A10G | ~318ms | ~124 | beta target |
| Mistral-7B-Instruct-v0.3 | NVIDIA L4 | ~98ms | ~1,024 | beta target |
| Mixtral-8x7B-Instruct | NVIDIA A10G | ~276ms | ~186 | beta target |
Estimated targets · vLLM 0.6.x · batch size 1 · 512 token context · validated in 90-day cloud GPU beta
Architecture
Distributed node orchestration with intelligent request routing
Smart Router
Latency-aware load balancing across GPU nodes
Streaming
Server-sent events for real-time token delivery
vLLM Backend
PagedAttention with continuous batching
API Integration
OpenAI-compatible endpoints — drop-in replacement for agent frameworks
curl https://api.agentflowengine.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $AGENTFLOW_API_KEY" \
-d '{
"model": "llama-3-8b-instruct",
"messages": [
{"role": "user", "content": "Summarize the latest agent task."}
],
"stream": true,
"max_tokens": 512
}'OpenAI CompatibleStreaming SSEA2A Protocol Ready