DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
from openai import OpenAI
client = OpenAI(
base_url="https://infergate.ru/api/v1",
api_key="ig-•••",
)
resp = client.chat.completions.create(
model="deepseek/deepseek-r1",
messages=[{"role": "user", "content": "Привет!"}],
)
print(resp.choices[0].message.content)modelstringобязательныйmessagesarrayобязательныйtemperaturenumbermax_tokensintegermax_completion_tokensintegertop_pnumbertop_kintegerstopstring | string[]frequency_penaltynumberpresence_penaltynumberrepetition_penaltynumberseedintegerresponse_formatobjectstructured_outputsbooleantoolsarraytool_choicestring | objectreasoningobjectinclude_reasoningboolean