Reasoning モデル

import OpenAI from "openai";
const client = new OpenAI({
  baseURL: "your-sambanova-base-url",
  apiKey: "your-sambanova-api-key",
});
const chatCompletion = await client.chat.completions.create({
  messages: [
    { role: "system", content: "Answer the question in a couple sentences." },
    { role: "user", content: "I want to understand the factors I should consider when buying a house. For context, I live in California and am 30 years old." },
  ],
  model: "DeepSeek-R1",
});
console.log(chatCompletion.choices[0].message.content);

import os
import openai
client = openai.OpenAI(
    api_key="your-sambanova-api-key",
    base_url="your-sambanova-base-url",
)
response = client.chat.completions.create(
    model="DeepSeek-R1",
    messages=[{"role":"system","content":"You are a helpful assistant"},{"role":"user","content":"I want to understand the factors I should consider when buying a house. For context, I live in California and am 30 years old."}],
    temperature=0.6,
    top_p=0.95,
    max_tokens= 2500,
    stream=True
)
for chunk in response:
  print(chunk.choices[0].delta.content, end="")

export API_KEY="your-api-key-here"
export URL="your-url-here"

curl -H "Authorization: Bearer $API_KEY" \
     -H "Content-Type: application/json" \
     -d '{
	"stream": true,
	"model": "DeepSeek-R1",
	"messages": [
		{
			"role": "system",
			"content": "You are a helpful assistant"
		},
		{
			"role": "user",
			"content": "I want to understand the factors I should consider when buying a house. For context, I live in California and am 30 years old."
		}
	]
	}' \
     -X POST $URL