LangChain

# Create and activate a virtual environment
python3 -m venv .venv && source .venv/bin/activate
pip install -U langchain-openai

import os
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="deepseek-flash",
    base_url="https://token.echohub.io/v1",
    api_key=os.environ["ECHO_API_KEY"],
)

print(llm.invoke("日本の首都はどこですか？").content)

npm install @langchain/openai @langchain/core

import { ChatOpenAI } from "@langchain/openai";

const llm = new ChatOpenAI({
  model: "deepseek-flash",
  apiKey: process.env.ECHO_API_KEY,
  configuration: {
    baseURL: "https://token.echohub.io/v1",
  },
});

const res = await llm.invoke("日本の首都はどこですか？");
console.log(res.content);

# Create and activate a virtual environment
python3 -m venv .venv && source .venv/bin/activate
pip install -U langchain-anthropic

import os
from langchain_anthropic import ChatAnthropic

llm = ChatAnthropic(
    model="claude-sonnet-5",
    base_url="https://token.echohub.io",
    api_key=os.environ["ECHO_API_KEY"],
    max_tokens=1024,
)

print(llm.invoke("日本の首都はどこですか？").content)

npm install @langchain/anthropic @langchain/core

import { ChatAnthropic } from "@langchain/anthropic";

const llm = new ChatAnthropic({
  model: "claude-sonnet-5",
  apiKey: process.env.ECHO_API_KEY,
  maxTokens: 1024,
  clientOptions: {
    baseURL: "https://token.echohub.io",
  },
});

const res = await llm.invoke("日本の首都はどこですか？");
console.log(res.content);