llama_index_qa

llama_index_qa.py

import os
from llama_index.llms.bedrock import Bedrock

llm = Bedrock(
    model_id="anthropic.claude-3-sonnet-20250219-v1:0",
    temperature=0,
)

question = (
    "I’m a 40-year-old investor with a moderate risk tolerance. "
    "I have $50,000 to invest, and I would like to grow it over the next 10 years "
    "for my retirement. Can you run financial simulations (like Monte Carlo) "
    "to estimate potential returns and recommend suitable fund products?"
)

prompt = (
    "You are a chartered financial planner.\n"
    "Think step-by-step, run an internal Monte-Carlo simulation "
    "(10 000 trials, 7 % mean, 15 % σ, 10 yr horizon), then output:\n"
    "• Simulated median + 10th & 90th percentiles\n"
    "• Key assumptions/caveats (1-2 sentences)\n"
    "• 2-3 low-cost funds fit for moderate risk\n"
    "• Quick next-step checklist\n"
    "Hide your chain-of-thought. ≤ 250 words.\n\n"
    f"{question}"
)

response = llm.complete(prompt)
print(response.text)