Google ADK

pip install -U google-adk litellm

import os
import asyncio
from google.adk.agents import Agent
from google.adk.models.lite_llm import LiteLlm
from google.adk.runners import InMemoryRunner

# Inisialisasi agen dengan model Neosantara
researcher = Agent(
    name="researcher_agent",
    model=LiteLlm(model="neosantara/gemini-3.8-flash"),
    instruction="Anda adalah asisten riset teknologi yang menyajikan data secara ringkas dan objektif."
)

runner = InMemoryRunner(agent=researcher)

async def main():
    events = await runner.run_debug(
        "Jelaskan keunggulan AI Gateway regional bagi developer di Indonesia.",
        quiet=True
    )
    for event in events:
        if event.is_final_response() and event.content:
            for part in event.content.parts:
                if hasattr(part, "text") and part.text:
                    print(part.text)

if __name__ == "__main__":
    asyncio.run(main())

import os
import asyncio
from google.adk.agents import Agent
from google.adk.models.lite_llm import LiteLlm
from google.adk.runners import InMemoryRunner

def hitung_estimasi_token(teks: str) -> str:
    """Menghitung estimasi token dan biaya komputasi berdasarkan panjang teks."""
    estimasi_token = len(teks) // 4
    return f"Panjang teks: {len(teks)} karakter. Estimasi: {estimasi_token} token."

analyst = Agent(
    name="token_analyst",
    model=LiteLlm(
        model="neosantara/gemini-3.8-flash",
        allowed_openai_params=["tools"]
    ),
    instruction="Gunakan tool hitung_estimasi_token jika pengguna menanyakan kalkulasi ukuran teks.",
    tools=[hitung_estimasi_token]
)

runner = InMemoryRunner(agent=analyst)

async def main():
    events = await runner.run_debug(
        "Berapa estimasi token untuk teks sepanjang 1000 karakter?",
        quiet=True
    )
    for event in events:
        if event.is_final_response() and event.content:
            for part in event.content.parts:
                if hasattr(part, "text") and part.text:
                    print(part.text)

if __name__ == "__main__":
    asyncio.run(main())

import os
import asyncio
from google.adk.agents import Agent
from google.adk.models.lite_llm import LiteLlm
from google.adk.runners import InMemoryRunner

# Sub-agent untuk penalaran analitis
analyst_agent = Agent(
    name="analyst",
    model=LiteLlm(model="neosantara/deepseek-v4.1-flash"),
    instruction="Lakukan penalaran komputasi dan analisis throughput sistem."
)

# Root agent pengatur alur
lead_orchestrator = Agent(
    name="coordinator",
    model=LiteLlm(model="neosantara/gemini-3.8-flash"),
    instruction="Koordinasikan pertanyaan teknis. Delegasikan analisis mendalam ke sub-agent analyst.",
    sub_agents=[analyst_agent]
)

runner = InMemoryRunner(agent=lead_orchestrator)

async def main():
    events = await runner.run_debug(
        "Hitung efisiensi konkurensi 1000 RPM pada tier Basic.",
        quiet=True
    )
    for event in events:
        if event.is_final_response() and event.content:
            for part in event.content.parts:
                if hasattr(part, "text") and part.text:
                    print(part.text)

if __name__ == "__main__":
    asyncio.run(main())