Model Reasoning

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://api.neosantara.xyz/v1",
    api_key=os.environ["NEOSANTARA_API_KEY"]
)

stream = client.chat.completions.create(
    model="deepseek-r1",
    messages=[
        {"role": "user", "content": "How many 'r' letters are in the word 'strawberry'?"}
    ],
    stream=True
)

print("=== REASONING PROCESS ===")
for chunk in stream:
    delta = chunk.choices[0].delta
    # Extract reasoning tokens
    reasoning = getattr(delta, "reasoning_content", None)
    if reasoning:
        print(reasoning, end="", flush=True)
    
    # Extract final public content
    content = delta.content or ""
    if content:
        print(content, end="", flush=True)
print()

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://api.neosantara.xyz/v1",
    api_key=os.environ["NEOSANTARA_API_KEY"]
)

response = client.chat.completions.create(
    model="deepseek-r1",
    messages=[
        {"role": "user", "content": "How many 'r' letters are in the word 'strawberry'?"}
    ]
)

message = response.choices[0].message

# Internal thinking trace
if hasattr(message, "reasoning_content") and message.reasoning_content:
    print(f"[Thinking]:\n{message.reasoning_content}\n")

# Final public answer
print(f"[Answer]:\n{message.content}")

curl -X POST https://api.neosantara.xyz/v1/chat/completions \
  -H "Authorization: Bearer $NEOSANTARA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-r1",
    "messages": [
      {"role": "user", "content": "How many r in strawberry?"}
    ]
  }'