API 参考

https://www.fortapi.com/v1

POST https://www.fortapi.com/v1/chat/completions

from openai import OpenAI

client = OpenAI(
    api_key="sk-你的KEY",
    base_url="https://www.fortapi.com/v1",
)

response = client.chat.completions.create(
    model="你的模型名",  # 可用模型名见主站价格页面
    messages=[
        {"role": "system", "content": "你是一个友好的助手。"},
        {"role": "user", "content": "你好！你能做什么？"},
    ],
    temperature=0.7,
)

print(response.choices[0].message.content)
print(f"消耗 token: {response.usage.total_tokens}")

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-你的KEY",
  baseURL: "https://www.fortapi.com/v1",
});

const response = await client.chat.completions.create({
  model: "你的模型名", // 用 OpenAI 协议调 Claude 也可以（可用模型名见主站价格页面）
  messages: [
    { role: "user", content: "用大白话解释量子纠缠。" },
  ],
});

console.log(response.choices[0].message.content);

# 把 "你的模型名" 换成主站价格页面上的任意模型名
curl https://www.fortapi.com/v1/chat/completions \
  -H "Authorization: Bearer sk-你的KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "你的模型名",
    "messages": [{"role": "user", "content": "写一首关于代码的俳句。"}],
    "stream": true
  }'

POST https://www.fortapi.com/v1/messages

from anthropic import Anthropic

client = Anthropic(
    api_key="sk-你的KEY",
    base_url="https://www.fortapi.com",
)

response = client.messages.create(
    model="你的模型名",  # 可用模型名见主站价格页面
    max_tokens=1024,
    system="你是一个技术专家。",
    messages=[
        {"role": "user", "content": "什么是 CAP 定理？"},
    ],
)

print(response.content[0].text)
print(f"消耗：input={response.usage.input_tokens}, output={response.usage.output_tokens}")

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
  apiKey: "sk-你的KEY",
  baseURL: "https://www.fortapi.com",
});

const response = await client.messages.create({
  model: "你的模型名", // 可用模型名见主站价格页面
  max_tokens: 1024,
  messages: [
    { role: "user", content: "解释 Rust borrow checker 的工作原理。" },
  ],
});

console.log(response.content[0].text);

# 把 "你的模型名" 换成主站价格页面上的任意模型名
curl https://www.fortapi.com/v1/messages \
  -H "x-api-key: sk-你的KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "你的模型名",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "写一首关于代码的俳句。"}]
  }'

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "查询某个城市的当前天气",
        "parameters": {
            "type": "object",
            "properties": {"city": {"type": "string"}},
            "required": ["city"],
        },
    },
}]

messages = [{"role": "user", "content": "北京现在天气怎么样？"}]
resp = client.chat.completions.create(
    model="你的模型名",  # 需为支持工具调用的模型，可用模型名见主站价格页面
    messages=messages,
    tools=tools,
    tool_choice="auto",
)

msg = resp.choices[0].message
if msg.tool_calls:
    call = msg.tool_calls[0]
    # 自己执行函数（这里用假数据），把结果回传
    messages.append(msg)
    messages.append({
        "role": "tool",
        "tool_call_id": call.id,
        "content": '{"temp": "26°C", "weather": "晴"}',
    })
    final = client.chat.completions.create(model="你的模型名", messages=messages)
    print(final.choices[0].message.content)

response = client.chat.completions.create(
    model="你的模型名",  # 需为支持视觉的模型，可用模型名见主站价格页面
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "这张图里有什么？"},
            {"type": "image_url", "image_url": {"url": "https://example.com/cat.jpg"}},
            # base64：{"url": "data:image/jpeg;base64,<BASE64_DATA>"}
        ],
    }],
)
print(response.choices[0].message.content)