Quickstart

npm install @trunkate/sdk

pip install trunkate-sdk

go get github.com/trunkate/sdk-go

cargo add trunkate

npm install -g trunkate-cli

import { Trunkate } from '@trunkate/sdk';
 
const client = new Trunkate({
  apiKey: process.env.TRUNKATE_API_KEY,
  budget: 500 // Target max token budget
});
 
async function main() {
  // 1. Define your long prompt
  const prompt = "Please kindly summarize the following article in order to help me understand the main core concepts in a very detailed manner...";
 
  // 2. Optimize
  const { text, stats } = await client.optimize(prompt);
 
  console.log("⚡ Optimized Result:", text);
  console.log("📉 Reduced by:", stats.reduction + "%");
}
 
main();

import os
from trunkate import Trunkate
 
client = Trunkate(
    api_key=os.getenv("TRUNKATE_API_KEY"),
    budget=500
)
 
# 1. Define your long prompt
prompt = "Please kindly summarize the following article in order to help me understand the main core concepts in a very detailed manner..."
 
# 2. Optimize
result = client.optimize(prompt)
 
print(f"⚡ Optimized Result: {result.text}")
print(f"📉 Reduced by: {result.reduction}%")

package main
 
import (
    "fmt"
    "github.com/trunkate/sdk-go"
)
 
func main() {
    client := trunkate.NewClient()
    resp, _ := client.Optimize(&trunkate.Request{
        Text:   "Long prompt...",
        Budget: 500,
    })
    fmt.Printf("Optimized: %s", resp.Text)
}

use trunkate::Client;
 
#[tokio::main]
async fn main() {
    let client = Client::new();
    let text = "Your very long prompt...";
    
    // Zero-latency optimization
    let res = client.optimize(text, 500).await.unwrap();
    
    println!("Optimized: {}", res.text);
}

# Pipe into your LLM call
cat prompt.txt \
  | trunkate --budget 500 \
  | llm -m gpt-4
  
# Output stats to stderr