POST https://www.jiji.cc/v1beta/models/{model}:generateContent
POST https://www.jiji.cc/v1beta/models/{model}:streamGenerateContent?alt=sse
{model} 换成模型 ID，可用的 Gemini 模型以 模型广场 为准。
基础调用
import os
from google import genai
from google.genai import types
client = genai.Client(
api_key=os.environ["JIJI_API_KEY"],
http_options=types.HttpOptions(base_url="https://www.jiji.cc"),
)
resp = client.models.generate_content(
model="your-gemini-model",
contents="用一句话解释什么是闭包。",
)
print(resp.text)
curl "https://www.jiji.cc/v1beta/models/your-gemini-model:generateContent" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $JIJI_API_KEY" \
-d '{
"contents": [{"parts": [{"text": "用一句话解释什么是闭包。"}]}]
}'
把
your-gemini-model 替换为模型广场中的 Gemini 模型 ID。Python 需要先安装 SDK：pip install google-genai。流式输出
Python
for chunk in client.models.generate_content_stream(
model="your-gemini-model",
contents="写一首关于春天的短诗",
):
print(chunk.text, end="", flush=True)
系统提示词和参数
Python
resp = client.models.generate_content(
model="your-gemini-model",
contents="介绍一下你自己",
config=types.GenerateContentConfig(
system_instruction="你是一个简洁的编程助手。",
temperature=0.7,
max_output_tokens=1024,
),
)
print(resp.text)
多轮对话
Python
chat = client.chats.create(model="your-gemini-model")
print(chat.send_message("我叫小明").text)
print(chat.send_message("我叫什么名字？").text)
图片理解
Python
with open("photo.png", "rb") as f:
image_bytes = f.read()
resp = client.models.generate_content(
model="your-gemini-model",
contents=[
types.Part.from_bytes(data=image_bytes, mime_type="image/png"),
"这张图片里有什么？",
],
)
print(resp.text)