API Reference

{
  "model": "gpt-4o",
  "messages": [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ],
  "max_tokens": 1000,
  "temperature": 0.7,
  "stream": false
}

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "model": "gpt-4o",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 20,
    "completion_tokens": 10,
    "total_tokens": 30
  },
  "tensorcortex": {
    "cost": 0.00045,
    "latency_ms": 342,
    "provider": "openai"
  }
}

curl https://openai.tensor.cx/v1/chat/completions \
  -H "Authorization: Bearer tc_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

import TensorCortex from '@tensorcortex/sdk'

const tc = new TensorCortex({
  apiKey: 'tc_your_api_key',
  provider: 'openai' // or 'anthropic', 'google', etc.
})

const response = await tc.chat.completions.create({
  model: 'gpt-4o',
  messages: [{ role: 'user', content: 'Hello!' }]
})

console.log(response.choices[0].message.content)
console.log('Cost:', response.tensorcortex.cost)

{
  "data": [
    {
      "id": "gpt-4o",
      "provider": "openai",
      "context_length": 128000,
      "capabilities": ["chat", "function_calling", "vision"]
    },
    {
      "id": "gpt-4o-mini",
      "provider": "openai",
      "context_length": 128000,
      "capabilities": ["chat", "function_calling", "vision"]
    }
  ]
}

{
  "model": "text-embedding-3-large",
  "input": "The quick brown fox jumps over the lazy dog"
}