Summarize and question long documents

import os

from openai import OpenAI

client = OpenAI(base_url="https://api.aimodelsrouter.ai/v1", api_key=os.environ["AMR_API_KEY"])
MODEL = "deepseek/deepseek-v4.1-flash"

# A whole contract, transcript, report or book chapter: long-context models read hundreds of pages at once.
with open("document.txt", encoding="utf-8") as f:
    document = f.read()

response = client.chat.completions.create(
    model=MODEL,
    messages=[
        {"role": "system", "content": "You summarize documents for busy readers. Be accurate and never invent facts."},
        {"role": "user", "content": f"<document>\n{document}\n</document>\n\n"
                                    "Summarize this in 5 bullet points, then list every deadline and amount it mentions."},
    ],
)
print(response.choices[0].message.content)
print(f"\n{response.usage.prompt_tokens:,} tokens in, {response.usage.completion_tokens:,} out")