Google Gemini 模型

resp = client.models.generate_content(
    model="gemini-2.5-pro",
    contents="证明哥德巴赫猜想",
    config=types.GenerateContentConfig(
        thinking_config=types.ThinkingConfig(thinking_budget=8000),
    ),
)

curl "https://openp.ai/v1beta/models/gemini-2.5-flash-image:generateContent" \
  -H "x-goog-api-key: $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{"role":"user","parts":[{"text":"A red panda surfing, cartoon style"}]}],
    "generationConfig": {"responseModalities": ["IMAGE"]}
  }'

from openai import OpenAI
client = OpenAI(api_key="sk-...", base_url="https://openp.ai/v1")

resp = client.chat.completions.create(
    model="gemini-3.1-pro-preview",
    messages=[{"role": "user", "content": "用中文解释什么是傅立叶变换"}],
)
print(resp.choices[0].message.content)

curl "https://openp.ai/v1beta/models/gemini-3.1-pro-preview:generateContent" \
  -H "x-goog-api-key: $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{"role":"user","parts":[{"text":"hello"}]}],
    "generationConfig": { "temperature": 0.7, "maxOutputTokens": 2048 }
  }'

from google import genai

client = genai.Client(
    api_key="sk-XXXXXXXXXXXXXXXX",
    http_options={"base_url": "https://openp.ai"},
)

resp = client.models.generate_content(
    model="gemini-3.1-pro-preview",
    contents="给我 3 个旅行 vlog 标题",
)
print(resp.text)

{
  "contents": [{
    "role": "user",
    "parts": [
      {"text": "总结这张图"},
      {"inline_data": {"mime_type": "image/png", "data": "<base64>"}}
    ]
  }]
}