Build summarization in Python

Python example

from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["SOMNUS_API_KEY"],
    base_url="https://gateway-production-c837.up.railway.app/v1",
)

resp = client.chat.completions.create(
    model="claude-sonnet-5",
    messages=[
      {"role": "user", "content": "Summarise this meeting transcript in five bullet points."}
    ],
)
print(resp.choices[0].message.content)

Models that fit

Somnus column uses the minimum 2× credit; larger top-ups go further.

Making it production-ready in Python

• Read the key from an environment variable, never hard-code it.
• Use the async client (AsyncOpenAI) for web servers.
• Split very long documents and summarise the summaries.
• Tell the model the target length and audience.

Avoid

• Choosing a model on output price when your cost is almost all input.
• Not asking the model to quote or cite, which hides errors.

Questions

Related