LangChain

pip install langchain langchain-openai

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="openai/gpt-4o-mini",
    openai_api_key="eak_YOUR_KEY",
    openai_api_base="https://api.easyllm.kz/v1",
    temperature=0.7,
)

response = llm.invoke("Напиши двустишие про осень")
print(response.content)

llm = ChatOpenAI(
    model="anthropic/claude-sonnet-4-20250514",  # Claude через OpenAI-формат
    openai_api_key="eak_YOUR_KEY",
    openai_api_base="https://api.easyllm.kz/v1",
)

from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser

prompt = ChatPromptTemplate.from_messages([
    ("system", "Ты опытный переводчик."),
    ("user", "Переведи на английский: {text}"),
])

chain = prompt | llm | StrOutputParser()
result = chain.invoke({"text": "Привет, мир"})

from langchain_openai import OpenAIEmbeddings

embeddings = OpenAIEmbeddings(
    model="openai/text-embedding-3-small",
    openai_api_key="eak_YOUR_KEY",
    openai_api_base="https://api.easyllm.kz/v1",
)

vector = embeddings.embed_query("Что такое RAG?")

npm install @langchain/openai @langchain/core

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

const llm = new ChatOpenAI({
  model: "openai/gpt-4o-mini",
  apiKey: "eak_YOUR_KEY",
  configuration: {
    baseURL: "https://api.easyllm.kz/v1",
  },
});

const response = await llm.invoke("Напиши двустишие про осень");
console.log(response.content);