Google GenAI SDK

pip install google-genai

npm install @google/genai

from google import genai
from google.genai import types
import os

client = genai.Client(
    api_key=os.environ["AILOOT_API_KEY"],
    http_options=types.HttpOptions(base_url="https://api.ailoot.ai"),  # without /v1beta
)

resp = client.models.generate_content(
    model="gemini-3.8-flash",
    contents="Come up with three names for a coffee shop.",
)
print(resp.text)

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  apiKey: process.env.AILOOT_API_KEY,
  httpOptions: { baseUrl: "https://api.ailoot.ai" }, // without /v1beta
});

const resp = await ai.models.generateContent({
  model: "gemini-3.8-flash",
  contents: "Come up with three names for a coffee shop.",
});
console.log(resp.text);

curl "https://api.ailoot.ai/v1beta/models/gemini-3.8-flash:generateContent" \
  -H "x-goog-api-key: $AILOOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {"role": "user", "parts": [{"text": "Come up with three names for a coffee shop."}]}
    ]
  }' 

import json, os, urllib.request

def generate(model, payload):
    req = urllib.request.Request(
        "https://api.ailoot.ai/v1beta/models/" + model + ":generateContent",
        data=json.dumps(payload).encode(),
        headers={"x-goog-api-key": os.environ["AILOOT_API_KEY"],
                 "Content-Type": "application/json"},
    )
    # One send. After a timeout, check the Request ID in your usage history before retrying.
    with urllib.request.urlopen(req, timeout=300) as response:
        print("Request ID:", response.headers.get("X-Request-ID"))
        return json.load(response)

import base64, pathlib, sys

# Supply a real local PDF, audio or video file and its supported MIME type.
path, mime = pathlib.Path(sys.argv[1]), sys.argv[2]
payload = {"contents": [{"role": "user", "parts": [
    {"text": "Briefly describe the contents of the file."},
    {"inlineData": {"mimeType": mime,
                    "data": base64.b64encode(path.read_bytes()).decode()}},
]}]}
print(generate("gemini-3.8-flash", payload))
# Alternative attachment: {"fileData": {"mimeType": mime, "fileUri": public_https_url}}
# For a real YouTube URL: {"fileData": {"fileUri": youtube_url}}

import json, os, urllib.request

def generate(model, payload):
    req = urllib.request.Request(
        "https://api.ailoot.ai/v1beta/models/" + model + ":generateContent",
        data=json.dumps(payload).encode(),
        headers={"x-goog-api-key": os.environ["AILOOT_API_KEY"],
                 "Content-Type": "application/json"},
    )
    # One send. After a timeout, check the Request ID in your usage history before retrying.
    with urllib.request.urlopen(req, timeout=300) as response:
        print("Request ID:", response.headers.get("X-Request-ID"))
        return json.load(response)

tools = [{"functionDeclarations": [{
    "name": "multiply", "description": "Multiply two numbers",
    "parameters": {"type": "object", "properties": {
        "a": {"type": "number"}, "b": {"type": "number"}},
        "required": ["a", "b"]},
}]}]
contents = [{"role": "user", "parts": [{"text": "Multiply 7 by 8 using the function"}]}]
for turn in range(4):  # Bound the tool loop; do not resend a request whose result is unclear.
    reply = generate("gemini-3.8-flash", {"contents": contents, "tools": tools})
    content = reply["candidates"][0]["content"]
    contents.append(content)  # Keep ALL original parts and thoughtSignature unchanged.
    results = []
    for part in content.get("parts", []):
        call = part.get("functionCall")
        if not call:
            continue
        if call["name"] != "multiply":
            raise ValueError("Unexpected function")
        args = call["args"]
        result = {"name": call["name"], "response": {"value": args["a"] * args["b"]}}
        if "id" in call:
            result["id"] = call["id"]
        results.append({"functionResponse": result})
    if not results:
        print(content)
        break
    contents.append({"role": "user", "parts": results})
else:
    raise RuntimeError("Tool loop limit reached")

for chunk in client.models.generate_content_stream(
    model="gemini-3.8-flash",
    contents="Describe a sunset over the sea",
):
    print(chunk.text, end="", flush=True)

curl -N "https://api.ailoot.ai/v1beta/models/gemini-3.8-flash:streamGenerateContent?alt=sse" \
  -H "x-goog-api-key: $AILOOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"contents": [{"role": "user", "parts": [{"text": "Describe a sunset over the sea"}]}]}'