API 参考

curl -N "https://token.echohub.io/v1/chat/completions" \
  -H "Authorization: Bearer $ECHO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-flash",
    "stream": true,
    "stream_options": {"include_usage": true},
    "messages": [{"role": "user", "content": "自己紹介を 3 文でしてください。"}]
  }'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://token.echohub.io/v1",
    api_key=os.environ["ECHO_API_KEY"],
)

stream = client.chat.completions.create(
    model="deepseek-flash",
    messages=[{"role": "user", "content": "自己紹介を 3 文でしてください。"}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://token.echohub.io/v1",
  apiKey: process.env.ECHO_API_KEY,
});

const stream = await client.chat.completions.create({
  model: "deepseek-flash",
  messages: [{ role: "user", content: "自己紹介を 3 文でしてください。" }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

import os
import anthropic

client = anthropic.Anthropic(
    base_url="https://token.echohub.io",
    api_key=os.environ["ECHO_API_KEY"],
)

with client.messages.stream(
    model="claude-sonnet-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "自己紹介を 3 文でしてください。"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

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

const client = new Anthropic({
  baseURL: "https://token.echohub.io",
  apiKey: process.env.ECHO_API_KEY,
});

const stream = client.messages.stream({
  model: "claude-sonnet-5",
  max_tokens: 1024,
  messages: [{ role: "user", content: "自己紹介を 3 文でしてください。" }],
});
stream.on("text", (text) => {
  process.stdout.write(text);
});
await stream.finalMessage();