Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...
from openai import OpenAI
client = OpenAI(
base_url="https://infergate.ru/api/v1",
api_key="ig-•••",
)
resp = client.chat.completions.create(
model="bytedance-seed/seed-2.0-mini",
messages=[{"role": "user", "content": "Привет!"}],
)
print(resp.choices[0].message.content)modelstringобязательныйmessagesarrayобязательныйtemperaturenumbermax_tokensintegertop_pnumberstopstring | string[]frequency_penaltynumberresponse_formatobjectstructured_outputsbooleantoolsarraytool_choicestring | objectreasoningobjectinclude_reasoningboolean