Integrate NexusAI into your stack in minutes. Production-ready libraries, CLI tools, and infrastructure integrations for modern AI workflows.
Type-safe, async-ready, and optimized for low-latency inference.
Full-featured async client with streaming, batch processing, and pandas/numpy integration.
TypeScript-first client with native streaming, retries, and OpenAPI compatibility.
High-performance gRPC/HTTP client with context propagation and zero-allocation pooling.
Async-first Rust bindings with serde support, tokio integration, and minimal overhead.
Copy-paste ready examples to spin up your first AI inference pipeline.
from nexusai import Client # Initialize with your API key ai = Client(api_key="nx_live_...") # Run inference response = ai.models.run( model="nexus-v3-ultra", input="Analyze sentiment of this text...", stream=True ) for chunk in response.stream(): print(chunk.content, end="", flush=True)
import { NexusAI } from '@nexusai/js-sdk'; // Initialize client const ai = new NexusAI({ apiKey: 'nx_live_...' }); // Run inference with streaming const stream = await ai.models.run({ model: 'nexus-v3-ultra', input: 'Analyze sentiment...', stream: true }); for await (chunk of stream) { process.stdout.write(chunk.content); }
package main import ( "context" "fmt" "github.com/nexusai/go-sdk" ) func main() { client := nexusai.New(nexusai.WithAPIKey("nx_live_...")) resp := client.Models.Run(context.Background(), nexusai.RunOptions{ Model: "nexus-v3-ultra", Input: "Analyze sentiment...", }) for resp.Stream() { fmt.Print(resp.Content) } }
curl https://api.nexusai.com/v1/inference \ -H "Authorization: Bearer nx_live_..." \ -H "Content-Type: application/json" \ -d '{ "model": "nexus-v3-ultra", "input": "Analyze sentiment...", "stream": true }'
Infrastructure, CLI, and platform tools for enterprise deployment.
Manage deployments, monitor jobs, and run local evaluations directly from your terminal.
Documentation βProvision models, configure endpoints, and manage permissions using Infrastructure as Code.
Registry βDeploy autoscaling inference clusters with GPU management and zero-downtime rolling updates.
Operator Hub βReal-time event streaming for model runs, billing alerts, and pipeline lifecycle triggers.
Event Schema βPre-built workflows, environment variables, and test scripts for rapid API exploration.
Import Collection βOfficial containerized runtimes with ONNX, TensorRT, and CUDA optimizations pre-configured.
GitHub Container βReal-time health monitoring for all NexusAI endpoints.
| Service | Region | Latency | Status |
|---|---|---|---|
| Inference API | US-East-1 | 42ms | Operational |
| Model Training | EU-West-1 | 128ms | Operational |
| Vector Database | AP-South-1 | 67ms | Degraded |
| Auth & Billing | Global | 24ms | Operational |