The whole stack behind one key.
One API for chat, images, video, voice, search, code execution and data extraction. Use any model. Stream by default. OpenAI-compatible.
Modalities
Ten capabilities. One API.
Streaming chat
GPT, Claude, Gemini, Groq, Mistral, Cohere with SSE streaming + branching + forking.
Image generation
FAL, DALL-E, Stability, Ideogram, Leonardo, Luma — text-to-image and image-to-image.
Video generation
Runway, Luma — text-to-video, image-to-video, looping and frame interpolation.
Text-to-speech
ElevenLabs and Google voices — natural, multilingual, low-latency.
Speech-to-text
Provider-routed transcription with diarisation and timestamps.
Real-time voice agents
Low-latency WebSocket voice loops with turn-taking and tool calls.
Web search
Google + Perplexity search and Firecrawl deep scraping with citations.
Data extraction
PDFs, images and spreadsheets → structured JSON, schema-validated.
Code execution
Sandboxed JS/TS execution for agentic tool use.
Translation
Dozens of language pairs through provider-routed pipelines.
OpenAI-compatible
Use the SDK you already have.
Point your existing client at our base URL. Everything else stays the same.
curl https://api.nxtgenaidev.com/v1/chat/completions \
-H "Authorization: Bearer $NEXTGEN_API_KEY" \
-d '{ "model": "claude-3-5-sonnet", "messages": [...], "stream": true }'import OpenAI from "openai";
const ai = new OpenAI({
apiKey: process.env.NEXTGEN_API_KEY,
baseURL: "https://api.nxtgenaidev.com/v1",
});
const stream = await ai.chat.completions.create({
model: "gemini-2.0-flash",
messages: [{ role: "user", content: "What's new in AI?" }],
stream: true,
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}FAQ