Welcome to Edgee

import Edgee from 'edgee';

const edgee = new Edgee("your-api-key");

const response = await edgee.send({
  model: 'gpt-5.2',
  input: 'What is the capital of France?',
});

console.log(response.text);
if (response.compression) {
  console.log(`Tokens saved: ${response.compression.saved_tokens}`);
}

from edgee import Edgee

edgee = Edgee("your-api-key")

response = edgee.send(
    model="gpt-5.2",
    input="What is the capital of France?"
)

print(response.text)
if response.compression:
    print(f"Tokens saved: {response.compression.saved_tokens}")

package main

import (
    "fmt"
    "log"
    "github.com/edgee-ai/go-sdk/edgee"
)

func main() {
    client, _ := edgee.NewClient("your-api-key")

    response, err := client.Send("gpt-5.2", "What is the capital of France?")
    if err != nil {
        log.Fatal(err)
    }

    fmt.Println(response.Text())
    if response.Compression != nil {
        fmt.Printf("Tokens saved: %d\n", response.Compression.SavedTokens)
    }
}

use edgee::Edgee;

let client = Edgee::with_api_key("your-api-key");
let response = client.send("gpt-5.2", "What is the capital of France?").await.unwrap();

println!("{}", response.text().unwrap_or(""));
if let Some(compression) = &response.compression {
    println!("Tokens saved: {}", compression.saved_tokens);
}

import OpenAI from "openai";

const openai = new OpenAI({
  baseURL: "https://api.edgee.ai/v1",
  apiKey: process.env.EDGEE_API_KEY,
});

const completion = await openai.chat.completions.create({
  model: "gpt-5.2",
  messages: [
    { role: "user", content: "What is the capital of France?" }
  ],
});

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

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
  baseURL: 'https://api.edgee.ai',
  apiKey: process.env.EDGEE_API_KEY,
});

const message = await client.messages.create({
  model: 'claude-sonnet-4.5',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: 'What is the capital of France?' }
  ]
});

console.log(message.content);

from langchain_openai import ChatOpenAI
from langchain_core.messages import HumanMessage
import os

llm = ChatOpenAI(
    base_url="https://api.edgee.ai/v1",
    api_key=os.getenv("EDGEE_API_KEY"),
    model="gpt-5.2",
)

response = llm.invoke([HumanMessage(content="What is the capital of France?")])
print(response.content)

curl https://api.edgee.ai/v1/chat/completions \
  -H "Authorization: Bearer $EDGEE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-5.2","messages":[{"role":"user","content":"What is the capital of France?"}]}'