Update API usage examples and rename Anthropic to Claude
Revised Python and JavaScript code samples in both English and Chinese READMEs to use updated OpenAI, Claude (formerly Anthropic), and Gemini API interfaces. Renamed references from 'Anthropic' to 'Claude' throughout documentation and config comments for clarity. Also updated tsconfig.json formatting for consistency.
This commit is contained in:
xixu-me committed
1 parent
c9de054b4d
commit
89551136d7
4 files changed
+201
-249
No files matched your search
+87
-116
@@ -735,7 +735,7 @@ https://api.openai.com/v1/chat/completions
|
||||
# Converted (add ip/openai prefix)
|
||||
https://xget.xi-xu.me/ip/openai/v1/chat/completions
|
||||
|
||||
# Anthropic API original URL
|
||||
# Claude API original URL
|
||||
https://api.anthropic.com/v1/messages
|
||||
|
||||
# Converted (add ip/anthropic prefix)
|
||||
@@ -2135,175 +2135,146 @@ sudo systemctl restart containerd
|
||||
#### OpenAI API
|
||||
|
||||
```python
|
||||
import openai
|
||||
from openai import OpenAI
|
||||
|
||||
# Use Xget's OpenAI API
|
||||
client = openai.OpenAI(
|
||||
client = OpenAI(
|
||||
api_key="your-api-key",
|
||||
base_url="https://xget.xi-xu.me/ip/openai/v1" # Use Xget
|
||||
base_url="https://xget.xi-xu.me/ip/openai/v1", # Use Xget
|
||||
)
|
||||
|
||||
# Chat completion
|
||||
response = client.chat.completions.create(
|
||||
model="gpt-4",
|
||||
messages=[
|
||||
{"role": "user", "content": "Hello, how are you?"}
|
||||
]
|
||||
response = client.responses.create(
|
||||
model="gpt-5.1",
|
||||
input="Hello, GPT!",
|
||||
)
|
||||
|
||||
print(response.choices[0].message.content)
|
||||
print(response.output_text)
|
||||
```
|
||||
|
||||
#### Anthropic API
|
||||
#### Claude API
|
||||
|
||||
```python
|
||||
import anthropic
|
||||
from anthropic import Anthropic
|
||||
|
||||
# Use Xget's Anthropic API
|
||||
client = anthropic.Anthropic(
|
||||
client = Anthropic(
|
||||
api_key="your-api-key",
|
||||
base_url="https://xget.xi-xu.me/ip/anthropic" # Use Xget
|
||||
base_url="https://xget.xi-xu.me/ip/anthropic", # Use Xget
|
||||
)
|
||||
|
||||
# Create message
|
||||
message = client.messages.create(
|
||||
model="claude-3-sonnet-20240229",
|
||||
max_tokens=1000,
|
||||
model="claude-sonnet-4-5",
|
||||
max_tokens=256,
|
||||
messages=[
|
||||
{"role": "user", "content": "Hello, Claude!"}
|
||||
]
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Hello, Claude!",
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
print(message.content)
|
||||
print(message.content[0].text)
|
||||
```
|
||||
|
||||
#### Gemini API
|
||||
|
||||
```python
|
||||
import google.generativeai as genai
|
||||
from google import genai
|
||||
from google.genai import types
|
||||
|
||||
# Configure API key
|
||||
genai.configure(api_key="your-api-key")
|
||||
client = genai.Client(
|
||||
api_key="your-api-key",
|
||||
http_options=types.HttpOptions(base_url="https://xget.xi-xu.me/ip/gemini"), # Use Xget
|
||||
)
|
||||
|
||||
# Use custom transport to configure Xget
|
||||
import requests
|
||||
response = client.models.generate_content(
|
||||
model="gemini-3-pro-preview",
|
||||
contents="Hello, Gemini!",
|
||||
)
|
||||
|
||||
class XgetTransport:
|
||||
def __init__(self, base_url):
|
||||
self.base_url = base_url
|
||||
|
||||
def request(self, method, url, **kwargs):
|
||||
# Forward request to Xget
|
||||
accelerated_url = url.replace("https://generativelanguage.googleapis.com",
|
||||
"https://xget.xi-xu.me/ip/gemini")
|
||||
return requests.request(method, accelerated_url, **kwargs)
|
||||
|
||||
# Create model instance
|
||||
model = genai.GenerativeModel('gemini-pro')
|
||||
|
||||
# Generate content
|
||||
response = model.generate_content("Write a brief introduction about artificial intelligence")
|
||||
print(response.text)
|
||||
```
|
||||
|
||||
#### Multi-Provider Unified Interface
|
||||
|
||||
```python
|
||||
import requests
|
||||
import json
|
||||
from openai import OpenAI
|
||||
|
||||
def call_ai_api(provider, endpoint, data, api_key):
|
||||
"""
|
||||
Unified AI API calling function, supports multiple providers
|
||||
"""
|
||||
headers = {
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
providers = [
|
||||
("Cohere", "your-cohere-api-key", "/cohere/compatibility/v1", "command-a-03-2025"),
|
||||
("Mistral", "your-mistral-api-key", "/mistralai/v1", "mistral-medium-latest"),
|
||||
("xAI", "your-xai-api-key", "/xai/v1", "grok-4"),
|
||||
]
|
||||
|
||||
# Use Xget's accelerated URL
|
||||
url = f"https://xget.xi-xu.me/ip/{provider}/{endpoint}"
|
||||
|
||||
response = requests.post(url, headers=headers, json=data)
|
||||
return response.json()
|
||||
|
||||
# Usage example
|
||||
providers = {
|
||||
"openai": {
|
||||
"endpoint": "v1/chat/completions",
|
||||
"data": {
|
||||
"model": "gpt-4",
|
||||
"messages": [{"role": "user", "content": "Hello!"}]
|
||||
}
|
||||
},
|
||||
"anthropic": {
|
||||
"endpoint": "v1/messages",
|
||||
"data": {
|
||||
"model": "claude-3-sonnet-20240229",
|
||||
"max_tokens": 1000,
|
||||
"messages": [{"role": "user", "content": "Hello!"}]
|
||||
}
|
||||
},
|
||||
"cohere": {
|
||||
"endpoint": "v1/generate",
|
||||
"data": {
|
||||
"model": "command",
|
||||
"prompt": "Hello!",
|
||||
"max_tokens": 100
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
# Loop through different providers
|
||||
for provider, config in providers.items():
|
||||
try:
|
||||
result = call_ai_api(
|
||||
provider=provider,
|
||||
endpoint=config["endpoint"],
|
||||
data=config["data"],
|
||||
api_key="your-api-key"
|
||||
)
|
||||
print(f"{provider.title()} response: {result}")
|
||||
except Exception as e:
|
||||
print(f"Error calling {provider}: {e}")
|
||||
for name, key, path, model in providers:
|
||||
client = OpenAI(api_key=key, base_url="https://xget.xi-xu.me/ip" + path) # Use Xget
|
||||
response = client.chat.completions.create(
|
||||
model=model,
|
||||
messages=[{"role": "user", "content": f"Hello, who are you?"}],
|
||||
)
|
||||
print(name, "=>", response.choices[0].message.content)
|
||||
```
|
||||
|
||||
#### Use in JavaScript/Node.js
|
||||
|
||||
```javascript
|
||||
// OpenAI API acceleration
|
||||
import OpenAI from 'openai';
|
||||
import OpenAI from "openai";
|
||||
|
||||
const openai = new OpenAI({
|
||||
apiKey: 'your-api-key',
|
||||
baseURL: 'https://xget.xi-xu.me/ip/openai', // Use Xget
|
||||
const openaiClient = new OpenAI({
|
||||
apiKey: "your-openai-api-key",
|
||||
baseURL: "https://xget.xi-xu.me/ip/openai/v1", // Use Xget
|
||||
});
|
||||
|
||||
async function chatWithGPT() {
|
||||
const completion = await openai.chat.completions.create({
|
||||
messages: [{ role: 'user', content: 'Hello!' }],
|
||||
model: 'gpt-4',
|
||||
const response = await openaiClient.responses.create({
|
||||
model: "gpt-5.1",
|
||||
input: "Hello, GPT!",
|
||||
});
|
||||
|
||||
console.log(completion.choices[0].message.content);
|
||||
console.log(response.output_text);
|
||||
}
|
||||
|
||||
// Anthropic API acceleration
|
||||
import Anthropic from '@anthropic-ai/sdk';
|
||||
// Claude API acceleration
|
||||
import Anthropic from "@anthropic-ai/sdk";
|
||||
|
||||
const anthropic = new Anthropic({
|
||||
apiKey: 'your-api-key',
|
||||
baseURL: 'https://xget.xi-xu.me/ip/anthropic', // Use Xget
|
||||
const anthropicClient = new Anthropic({
|
||||
apiKey: "your-claude-api-key",
|
||||
baseURL: "https://xget.xi-xu.me/ip/anthropic", // Use Xget
|
||||
});
|
||||
|
||||
async function chatWithClaude() {
|
||||
const message = await anthropic.messages.create({
|
||||
model: 'claude-3-sonnet-20240229',
|
||||
max_tokens: 1000,
|
||||
messages: [{ role: 'user', content: 'Hello!' }],
|
||||
const message = await anthropicClient.messages.create({
|
||||
model: "claude-sonnet-4-5",
|
||||
max_tokens: 256,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: "Hello, Claude!",
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
console.log(message.content);
|
||||
console.log(message.content[0].text);
|
||||
}
|
||||
|
||||
// Gemini API acceleration
|
||||
import { GoogleGenAI } from "@google/genai";
|
||||
|
||||
const geminiClient = new GoogleGenAI({
|
||||
apiKey: "your-gemini-api-key",
|
||||
});
|
||||
|
||||
async function chatWithGemini() {
|
||||
const response = await geminiClient.models.generateContent({
|
||||
model: "gemini-3-pro-preview",
|
||||
contents: "Hello, Gemini!",
|
||||
config: {
|
||||
httpOptions: {
|
||||
baseUrl: "https://xget.xi-xu.me/ip/gemini", // Use Xget
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
console.log(response.text);
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
@@ -744,7 +744,7 @@ https://api.openai.com/v1/chat/completions
|
||||
# 转换后（添加 ip/openai 前缀）
|
||||
https://xget.xi-xu.me/ip/openai/v1/chat/completions
|
||||
|
||||
# Anthropic API 原始 URL
|
||||
# Claude API 原始 URL
|
||||
https://api.anthropic.com/v1/messages
|
||||
|
||||
# 转换后（添加 ip/anthropic 前缀）
|
||||
@@ -2145,175 +2145,146 @@ sudo systemctl restart containerd
|
||||
#### OpenAI API
|
||||
|
||||
```python
|
||||
import openai
|
||||
from openai import OpenAI
|
||||
|
||||
# 使用 Xget 的 OpenAI API
|
||||
client = openai.OpenAI(
|
||||
client = OpenAI(
|
||||
api_key="your-api-key",
|
||||
base_url="https://xget.xi-xu.me/ip/openai/v1" # 使用 Xget
|
||||
base_url="https://xget.xi-xu.me/ip/openai/v1", # 使用 Xget
|
||||
)
|
||||
|
||||
# 聊天完成
|
||||
response = client.chat.completions.create(
|
||||
model="gpt-4",
|
||||
messages=[
|
||||
{"role": "user", "content": "Hello, how are you?"}
|
||||
]
|
||||
response = client.responses.create(
|
||||
model="gpt-5.1",
|
||||
input="Hello, GPT!",
|
||||
)
|
||||
|
||||
print(response.choices[0].message.content)
|
||||
print(response.output_text)
|
||||
```
|
||||
|
||||
#### Anthropic API
|
||||
#### Claude API
|
||||
|
||||
```python
|
||||
import anthropic
|
||||
from anthropic import Anthropic
|
||||
|
||||
# 使用 Xget 的 Anthropic API
|
||||
client = anthropic.Anthropic(
|
||||
client = Anthropic(
|
||||
api_key="your-api-key",
|
||||
base_url="https://xget.xi-xu.me/ip/anthropic" # 使用 Xget
|
||||
base_url="https://xget.xi-xu.me/ip/anthropic", # 使用 Xget
|
||||
)
|
||||
|
||||
# 创建消息
|
||||
message = client.messages.create(
|
||||
model="claude-3-sonnet-20240229",
|
||||
max_tokens=1000,
|
||||
model="claude-sonnet-4-5",
|
||||
max_tokens=256,
|
||||
messages=[
|
||||
{"role": "user", "content": "Hello, Claude!"}
|
||||
]
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Hello, Claude!",
|
||||
}
|
||||
],
|
||||
)
|
||||
|
||||
print(message.content)
|
||||
print(message.content[0].text)
|
||||
```
|
||||
|
||||
#### Gemini API
|
||||
|
||||
```python
|
||||
import google.generativeai as genai
|
||||
from google import genai
|
||||
from google.genai import types
|
||||
|
||||
# 配置 API 密钥
|
||||
genai.configure(api_key="your-api-key")
|
||||
client = genai.Client(
|
||||
api_key="your-api-key",
|
||||
http_options=types.HttpOptions(base_url="https://xget.xi-xu.me/ip/gemini"), # 使用 Xget
|
||||
)
|
||||
|
||||
# 使用自定义传输配置 Xget
|
||||
import requests
|
||||
response = client.models.generate_content(
|
||||
model="gemini-3-pro-preview",
|
||||
contents="Hello, Gemini!",
|
||||
)
|
||||
|
||||
class XgetTransport:
|
||||
def __init__(self, base_url):
|
||||
self.base_url = base_url
|
||||
|
||||
def request(self, method, url, **kwargs):
|
||||
# 将请求转发到 Xget
|
||||
accelerated_url = url.replace("https://generativelanguage.googleapis.com",
|
||||
"https://xget.xi-xu.me/ip/gemini")
|
||||
return requests.request(method, accelerated_url, **kwargs)
|
||||
|
||||
# 创建模型实例
|
||||
model = genai.GenerativeModel('gemini-pro')
|
||||
|
||||
# 生成内容
|
||||
response = model.generate_content("写一个关于人工智能的简短介绍")
|
||||
print(response.text)
|
||||
```
|
||||
|
||||
#### 多提供商统一接口
|
||||
|
||||
```python
|
||||
import requests
|
||||
import json
|
||||
from openai import OpenAI
|
||||
|
||||
def call_ai_api(provider, endpoint, data, api_key):
|
||||
"""
|
||||
统一的 AI API 调用函数，支持多个提供商
|
||||
"""
|
||||
headers = {
|
||||
"Authorization": f"Bearer {api_key}",
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
providers = [
|
||||
("Cohere", "your-cohere-api-key", "/cohere/compatibility/v1", "command-a-03-2025"),
|
||||
("Mistral", "your-mistral-api-key", "/mistralai/v1", "mistral-medium-latest"),
|
||||
("xAI", "your-xai-api-key", "/xai/v1", "grok-4"),
|
||||
]
|
||||
|
||||
# 使用 Xget 的加速 URL
|
||||
url = f"https://xget.xi-xu.me/ip/{provider}/{endpoint}"
|
||||
|
||||
response = requests.post(url, headers=headers, json=data)
|
||||
return response.json()
|
||||
|
||||
# 使用示例
|
||||
providers = {
|
||||
"openai": {
|
||||
"endpoint": "v1/chat/completions",
|
||||
"data": {
|
||||
"model": "gpt-4",
|
||||
"messages": [{"role": "user", "content": "Hello!"}]
|
||||
}
|
||||
},
|
||||
"anthropic": {
|
||||
"endpoint": "v1/messages",
|
||||
"data": {
|
||||
"model": "claude-3-sonnet-20240229",
|
||||
"max_tokens": 1000,
|
||||
"messages": [{"role": "user", "content": "Hello!"}]
|
||||
}
|
||||
},
|
||||
"cohere": {
|
||||
"endpoint": "v1/generate",
|
||||
"data": {
|
||||
"model": "command",
|
||||
"prompt": "Hello!",
|
||||
"max_tokens": 100
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
# 循环调用不同提供商
|
||||
for provider, config in providers.items():
|
||||
try:
|
||||
result = call_ai_api(
|
||||
provider=provider,
|
||||
endpoint=config["endpoint"],
|
||||
data=config["data"],
|
||||
api_key="your-api-key"
|
||||
)
|
||||
print(f"{provider.title()} response: {result}")
|
||||
except Exception as e:
|
||||
print(f"Error calling {provider}: {e}")
|
||||
for name, key, path, model in providers:
|
||||
client = OpenAI(api_key=key, base_url="https://xget.xi-xu.me/ip" + path) # 使用 Xget
|
||||
response = client.chat.completions.create(
|
||||
model=model,
|
||||
messages=[{"role": "user", "content": f"Hello, who are you?"}],
|
||||
)
|
||||
print(name, "=>", response.choices[0].message.content)
|
||||
```
|
||||
|
||||
#### JavaScript/Node.js 中使用
|
||||
|
||||
```javascript
|
||||
// OpenAI API 加速
|
||||
import OpenAI from 'openai';
|
||||
import OpenAI from "openai";
|
||||
|
||||
const openai = new OpenAI({
|
||||
apiKey: 'your-api-key',
|
||||
baseURL: 'https://xget.xi-xu.me/ip/openai', // 使用 Xget
|
||||
const openaiClient = new OpenAI({
|
||||
apiKey: "your-openai-api-key",
|
||||
baseURL: "https://xget.xi-xu.me/ip/openai/v1", // 使用 Xget
|
||||
});
|
||||
|
||||
async function chatWithGPT() {
|
||||
const completion = await openai.chat.completions.create({
|
||||
messages: [{ role: 'user', content: 'Hello!' }],
|
||||
model: 'gpt-4',
|
||||
const response = await openaiClient.responses.create({
|
||||
model: "gpt-5.1",
|
||||
input: "Hello, GPT!",
|
||||
});
|
||||
|
||||
console.log(completion.choices[0].message.content);
|
||||
console.log(response.output_text);
|
||||
}
|
||||
|
||||
// Anthropic API 加速
|
||||
import Anthropic from '@anthropic-ai/sdk';
|
||||
// Claude API 加速
|
||||
import Anthropic from "@anthropic-ai/sdk";
|
||||
|
||||
const anthropic = new Anthropic({
|
||||
apiKey: 'your-api-key',
|
||||
baseURL: 'https://xget.xi-xu.me/ip/anthropic', // 使用 Xget
|
||||
const anthropicClient = new Anthropic({
|
||||
apiKey: "your-claude-api-key",
|
||||
baseURL: "https://xget.xi-xu.me/ip/anthropic", // 使用 Xget
|
||||
});
|
||||
|
||||
async function chatWithClaude() {
|
||||
const message = await anthropic.messages.create({
|
||||
model: 'claude-3-sonnet-20240229',
|
||||
max_tokens: 1000,
|
||||
messages: [{ role: 'user', content: 'Hello!' }],
|
||||
const message = await anthropicClient.messages.create({
|
||||
model: "claude-sonnet-4-5",
|
||||
max_tokens: 256,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: "Hello, Claude!",
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
console.log(message.content);
|
||||
console.log(message.content[0].text);
|
||||
}
|
||||
|
||||
// Gemini API 加速
|
||||
import { GoogleGenAI } from "@google/genai";
|
||||
|
||||
const geminiClient = new GoogleGenAI({
|
||||
apiKey: "your-gemini-api-key",
|
||||
});
|
||||
|
||||
async function chatWithGemini() {
|
||||
const response = await geminiClient.models.generateContent({
|
||||
model: "gemini-3-pro-preview",
|
||||
contents: "Hello, Gemini!",
|
||||
config: {
|
||||
httpOptions: {
|
||||
baseUrl: "https://xget.xi-xu.me/ip/gemini", // 使用 Xget
|
||||
},
|
||||
},
|
||||
});
|
||||
|
||||
console.log(response.text);
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
@@ -68,7 +68,7 @@
|
||||
*
|
||||
* **AI Inference Providers (prefix: ip-):**
|
||||
* - `ip-openai` - OpenAI API
|
||||
* - `ip-anthropic` - Anthropic API
|
||||
* - `ip-anthropic` - Claude API
|
||||
* - `ip-gemini` - Google Gemini API
|
||||
* - `ip-vertexai` - Google Vertex AI
|
||||
* - `ip-cohere` - Cohere API
|
||||
|
||||
+26
-16
@@ -1,17 +1,27 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
"allowJs": true,
|
||||
"checkJs": true,
|
||||
"esModuleInterop": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"module": "ESNext",
|
||||
"moduleResolution": "node",
|
||||
"noEmit": true,
|
||||
"skipLibCheck": true,
|
||||
"strict": true,
|
||||
"target": "ES2022",
|
||||
"types": ["@cloudflare/workers-types", "vitest/globals"]
|
||||
},
|
||||
"exclude": ["node_modules", "dist", "coverage"],
|
||||
"include": ["src/**/*", "test/**/*"]
|
||||
}
|
||||
"compilerOptions": {
|
||||
"allowJs": true,
|
||||
"checkJs": true,
|
||||
"esModuleInterop": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"module": "ESNext",
|
||||
"moduleResolution": "node",
|
||||
"noEmit": true,
|
||||
"skipLibCheck": true,
|
||||
"strict": true,
|
||||
"target": "ES2022",
|
||||
"types": [
|
||||
"@cloudflare/workers-types",
|
||||
"vitest/globals"
|
||||
]
|
||||
},
|
||||
"exclude": [
|
||||
"node_modules",
|
||||
"dist",
|
||||
"coverage"
|
||||
],
|
||||
"include": [
|
||||
"src/**/*",
|
||||
"test/**/*"
|
||||
]
|
||||
}
|
||||
Reference in new issue
Block a user