Claude api code: quickstart guide

基礎 URL 與驗證

首先更新您的客戶端配置以指向我們的主機端點。使用 base_url HTTPS://api.claudeapicode.com/v1 並將您的金鑰傳遞至 Authorization 標頭。此代理程式與標準 OpenAI SDK 相容，無需自訂驅動程式。您可以在儀表板上透過 Google 或電子郵件即時產生金鑰，無需提供手機號碼。

Copycurl https://api.claudeapicode.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "uncensored",
    "messages": [{"role": "user", "content": "Set up a PostgreSQL connection pool with ten connections"}]
  }'

聊天完成端點

向 /v1/chat/completions 使用模型 ID 的 endpoint uncensored. 此端點接受標準的聊天訊息並返回文字回應。它為您程式碼會話處理所有 token 處理，不受官方平台的限制。您可以透過呼叫 /v1/models 確認連接性。

Copyfrom openai import OpenAI

client = OpenAI(base_url="https://api.claudeapicode.com/v1", api_key="YOUR_KEY")

resp = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Summarise this thread without softening it."}],
)
print(resp.choices[0].message.content)

Node.js

Copyimport OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.claudeapicode.com/v1", apiKey: process.env.API_KEY });

const resp = await client.chat.completions.create({
  model: "uncensored",
  messages: [{ role: "user", content: "Draft a villain monologue for my game." }],
});
console.log(resp.choices[0].message.content);

串流

Copystream = client.chat.completions.create(
    model="uncensored",
    messages=[{"role": "user", "content": "Tell the story in second person."}],
    stream=True,
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)