API Examples

Sample curl commands to get you started with the TensorX API. All examples use the OpenAI-compatible endpoint.

Replace YOUR_API_KEY with your actual TensorX API key from app.tensorx.ai.

---

Basic Chat Completion

A simple chat request with GLM-5.1:

curl https://api.tensorx.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "z-ai/glm-5.3",
    "messages": [
      {"role": "user", "content": "What is the capital of France?"}
    ]
  }'

---

Multi-turn Conversation

Include conversation history for context:

curl https://api.tensorx.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "z-ai/glm-5.3",
    "messages": [
      {"role": "user", "content": "My name is Alex"},
      {"role": "assistant", "content": "Nice to meet you, Alex! How can I help you today?"},
      {"role": "user", "content": "What is my name?"}
    ]
  }'

---

Streaming Response

Get responses token-by-token for real-time output:

curl https://api.tensorx.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "z-ai/glm-5.3",
    "stream": true,
    "messages": [
      {"role": "user", "content": "Write a haiku about coding"}
    ]
  }'

---

Code Generation

Ask for code with a system prompt:

curl https://api.tensorx.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "z-ai/glm-5.3",
    "messages": [
      {"role": "system", "content": "You are an expert Python developer. Write clean, well-documented code."},
      {"role": "user", "content": "Write a function to check if a string is a palindrome"}
    ]
  }'

---

With Temperature Control

Adjust creativity with temperature (0.0 = focused, 1.0 = creative):

curl https://api.tensorx.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "z-ai/glm-5.3",
    "temperature": 0.7,
    "messages": [
      {"role": "user", "content": "Give me 3 creative startup ideas"}
    ]
  }'

---

List Available Models

Check which models are available:

curl https://api.tensorx.ai/v1/models \
  -H "Authorization: Bearer YOUR_API_KEY"

---

Python Example

Using the OpenAI Python SDK:

import os
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.tensorx.ai/v1"
)

response = client.chat.completions.create(
    model=os.environ["TENSORX_MODEL"],
    messages=[
        {"role": "user", "content": "Hello, world!"}
    ]
)

print(response.choices[0].message.content)

---

JavaScript/Node.js Example

Using the OpenAI Node.js SDK:

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://api.tensorx.ai/v1'
});

const response = await client.chat.completions.create({
  model: process.env.TENSORX_MODEL,
  messages: [
    { role: 'user', content: 'Hello, world!' }
  ]
});

console.log(response.choices[0].message.content);

---

Model metadata

Use GET /v1/model/info to inspect current capability flags and limits. See Models for the discovery commands and response fields.