g4f提供的模型调用：python JavaScript和curl
g4f提供模型的使用，例子页面：G4F - Providers and Models
可以这样：
python
from g4f.client import Client client = Client() response = client.chat.completions.create( model="", messages=[{"role": "user", "content": "Hello!"}], ) print(response.choices[0].message.content)例如：
(.venv) G:\traework\airoot\kotti-py312>python Python 3.12.9 (tags/v3.12.9:fdb8142, Feb 4 2025, 15:27:58) [MSC v.1942 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> from g4f.client import Client >>> >>> client = Client() >>> response = client.chat.completions.create( ... model="", ... messages=[{"role": "user", "content": "Hello!"}], ... ) >>> print(response.choices[0].message.content) Hey there! How’s your day going?JavaScript
import { createClient } from 'https://g4f.dev/dist/js/providers.js'; const client = createClient('default'); const result = await client.chat.completions.create({ model: 'auto', messages: [{ role: 'user', content: 'Hello!' }] }); console.log(result.choices[0].message.content);就这个没有测试成功....
curl
curl https://g4f.space/api/auto/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "auto", "messages": [{"role": "user", "content": "Hello!"}] }'例如：
skywalk@ubjail1:~$ curl https://g4f.space/api/auto/chat/completions \ > -H "Content-Type: application/json" \ > -d '{ > "model": "auto", > "messages": [{"role": "user", "content": "Hello!"}] > }' {"id":"chatcmpl-1776434719606","object":"chat.completion","created":1776434719,"model":"glm-5","choices":[{"index":0,"message":{"role":"assistant","content":"Hello! How can I help you today?","reasoning_content":"The user has sent a simple greeting: \"Hello!\".\nMy goal is to respond politely and helpfully to initiate a conversation.\n\n1. **Analyze the input**: It's a standard English greeting.\n2. **Determine the intent**: The user is starting an interaction. No complex task is requested yet.\n3. **Formulate a response**:\n * Acknowledge the greeting.\n * Offer assistance.\n * Keep it friendly and concise.\n4. **Drafting options**:\n * Option A: \"Hi there! How can I help you?\" (Simple, effective)\n * Option B: \"Hello! I am an AI assistant. What can I do for you today?\" (A bit more formal)\n * Option C: \"Hey! Nice to meet you. Do you have any questions?\" (Casual)\n5. **Selecting the best fit**: Option A is a good balance of friendly and professional.\n6. **Final Polish**: \"Hello! How can I help you today?\" is a classic, reliable response.\n\n*Self-Correction during thought process*: I should ensure I don't sound too robotic, but also maintain professional boundaries. A simple, warm greeting is best.\n\n**Final Output Generation**: \"Hello! How can I help you today?\""},"finish_reason":"stop"}],"usage":{"prompt_tokens":7,"completion_tokens":284,"total_tokens":291}}skywalk@ubjail1:~$