通过 OpenAI、Anthropic 和 Gemini SDK 使用 AIsa

from openai import OpenAI
import os

client = OpenAI(api_key=os.environ["AISA_API_KEY"], base_url="https://api.aisa.one/v1")

chat = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[{"role": "user", "content": "Say hello in five words."}],
)
print(chat.choices[0].message.content)

# The Responses API works on the same client.
resp = client.responses.create(model="gpt-5.4-mini", input="Say hello in five words.")
print(resp.output_text)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AISA_API_KEY,
  baseURL: "https://api.aisa.one/v1",
});

const chat = await client.chat.completions.create({
  model: "gpt-5.4-mini",
  messages: [{ role: "user", content: "Say hello in five words." }],
});
console.log(chat.choices[0].message.content);

import anthropic
import os

client = anthropic.Anthropic(api_key=os.environ["AISA_API_KEY"], base_url="https://api.aisa.one")

message = client.messages.create(
    model="claude-haiku-4-5-20251001",
    max_tokens=256,
    messages=[{"role": "user", "content": "Say hello in five words."}],
)
print("".join(block.text for block in message.content if block.type == "text"))

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

const client = new Anthropic({
  apiKey: process.env.AISA_API_KEY,
  baseURL: "https://api.aisa.one",
});

const message = await client.messages.create({
  model: "claude-haiku-4-5-20251001",
  max_tokens: 256,
  messages: [{ role: "user", content: "Say hello in five words." }],
});
for (const block of message.content) {
  if (block.type === "text") console.log(block.text);
}