Gemini CLI

export GEMINI_API_KEY="sk-byts-..."
export GEMINI_BASE_URL="https://llm.bytespike.ai/v1beta"

curl "https://llm.bytespike.ai/v1beta/models/gemini-3.1-pro:generateContent?key=$GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "say hi"}]}]
  }'

/v1beta/models/gemini-3-5-flash:generateContent
/v1beta/models/gemini-3-flash-lite:generateContent

curl "https://llm.bytespike.ai/v1beta/models/gemini-3.1-pro:streamGenerateContent?alt=sse&key=$GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "explain SSE briefly"}]}]
  }'

import google.generativeai as genai
genai.configure(
    api_key="sk-byts-...",
    transport="rest",
    client_options={"api_endpoint": "llm.bytespike.ai"}
)
model = genai.GenerativeModel("gemini-3-5-flash")
print(model.generate_content("hello").text)

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI("sk-byts-...", {
  baseUrl: "https://llm.bytespike.ai",
});
const model = genAI.getGenerativeModel({ model: "gemini-3-5-flash" });
const result = await model.generateContent("hello");
console.log(result.response.text());

curl https://llm.bytespike.ai/v1/tasks/submit \
  -H "Authorization: Bearer $BYTESPIKE_API_KEY" \
  -d '{
    "model": "veo-3-1",
    "params": {"prompt": "...", "duration_seconds": 8}
  }'