Gemini generateContent

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"},
    )
    # Siųskite vieną kartą. Jei baigėsi laukimo laikas, prieš bandydami dar kartą naudojimo istorijoje patikrinkite Request ID.
    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

# Pateikite tikrą savo kompiuteryje esantį PDF, garso arba vaizdo failą ir palaikomą jo MIME tipą.
path, mime = pathlib.Path(sys.argv[1]), sys.argv[2]
payload = {"contents": [{"role": "user", "parts": [
    {"text": "Trumpai apibūdink failo turinį."},
    {"inlineData": {"mimeType": mime,
                    "data": base64.b64encode(path.read_bytes()).decode()}},
]}]}
print(generate("gemini-3.8-flash", payload))
# Kitas priedo pateikimo būdas: {"fileData": {"mimeType": mime, "fileUri": public_https_url}}
# Jei naudojate tikrą YouTube URL: {"fileData": {"fileUri": youtube_url}}

{"tools": [{"googleSearch": {}}, {"urlContext": {}}]}

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"},
    )
    # Siųskite vieną kartą. Jei baigėsi laukimo laikas, prieš bandydami dar kartą naudojimo istorijoje patikrinkite Request ID.
    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

reply = generate("gemini-3.1-flash-image", {
    "contents": [{"role": "user", "parts": [{"text": "Akvarelė: švyturys auštant"}]}],
    "generationConfig": {
        "responseModalities": ["TEXT", "IMAGE"],
        "imageConfig": {"aspectRatio": "1:1", "imageSize": "1K"},
    },
})
index = 0
for candidate in reply.get("candidates", []):
    for part in candidate.get("content", {}).get("parts", []):
        if "text" in part:
            print(part["text"])
        blob = part.get("inlineData", {})
        if blob.get("mimeType", "").startswith("image/") and blob.get("data"):
            index += 1
            extension = {"image/png": "png", "image/jpeg": "jpg",
                         "image/webp": "webp"}.get(blob["mimeType"], "bin")
            pathlib.Path(f"gemini-image-v{index}.{extension}").write_bytes(
                base64.b64decode(blob["data"]))
print("All returned images:", index)

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"},
    )
    # Siųskite vieną kartą. Jei baigėsi laukimo laikas, prieš bandydami dar kartą naudojimo istorijoje patikrinkite Request ID.
    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": "Padauginti du skaičius",
    "parameters": {"type": "object", "properties": {
        "a": {"type": "number"}, "b": {"type": "number"}},
        "required": ["a", "b"]},
}]}]
contents = [{"role": "user", "parts": [{"text": "Naudodamas funkciją padaugink 7 iš 8"}]}]
for turn in range(4):  # Apribokite įrankių ciklo iteracijų skaičių; pakartotinai nesiųskite užklausos, kurios rezultatas neaiškus.
    reply = generate("gemini-3.8-flash", {"contents": contents, "tools": tools})
    content = reply["candidates"][0]["content"]
    contents.append(content)  # Visas pradines dalis (ALL) ir thoughtSignature palikite be pakeitimų.
    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")