快速入门

curl "$LANGSMITH_GATEWAY_BASE_URL/chat/completions" \
    -H "Authorization: Bearer $LANGSMITH_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{"model":"anthropic/claude-opus-5","messages":[{"role":"user","content":"ping"}]}'

import os

from openai import OpenAI

client = OpenAI(
    base_url=os.environ["LANGSMITH_GATEWAY_BASE_URL"],
    api_key=os.environ["LANGSMITH_API_KEY"],
)
response = client.chat.completions.create(
    model="anthropic/claude-opus-5",
    messages=[{"role": "user", "content": "ping"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: process.env.LANGSMITH_GATEWAY_BASE_URL,
  apiKey: process.env.LANGSMITH_API_KEY,
});
const response = await client.chat.completions.create({
  model: "anthropic/claude-opus-5",
  messages: [{ role: "user", content: "ping" }],
});
console.log(response.choices[0].message.content);

import os

from langchain.agents import create_agent
from langchain.chat_models import init_chat_model

model = init_chat_model(
    model="anthropic/claude-opus-5",
    model_provider="openai",
    base_url=os.environ["LANGSMITH_GATEWAY_BASE_URL"],
    api_key=os.environ["LANGSMITH_API_KEY"],
)
agent = create_agent(model=model, system_prompt="You are a helpful assistant.")
result = agent.invoke({"messages": [{"role": "user", "content": "ping"}]})
print(result["messages"][-1].content)