Open Source Models

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inference.net/v1",
  apiKey: process.env.INFERENCE_API_KEY,
});

const response = await client.chat.completions.create({
  model: "glm-5.2",
  messages: [{ role: "user", content: "Hello, world!" }],
});

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

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.inference.net/v1",
    api_key=os.environ["INFERENCE_API_KEY"],
)

response = client.chat.completions.create(
    model="glm-5.2",
    messages=[{"role": "user", "content": "Hello, world!"}],
)

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

use serde_json::{json, Value};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = std::env::var("INFERENCE_API_KEY")?;

    let response: Value = reqwest::Client::new()
        .post("https://api.inference.net/v1/chat/completions")
        .bearer_auth(api_key)
        .json(&json!({
            "model": "glm-5.2",
            "messages": [{"role": "user", "content": "Hello, world!"}]
        }))
        .send()
        .await?
        .json()
        .await?;

    println!(
        "{}",
        response["choices"][0]["message"]["content"]
            .as_str()
            .unwrap_or_default()
    );
    Ok(())
}

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
	"os"
)

func main() {
	body, _ := json.Marshal(map[string]any{
		"model": "glm-5.2",
		"messages": []map[string]string{
			{"role": "user", "content": "Hello, world!"},
		},
	})

	req, _ := http.NewRequest("POST", "https://api.inference.net/v1/chat/completions", bytes.NewReader(body))
	req.Header.Set("Authorization", "Bearer "+os.Getenv("INFERENCE_API_KEY"))
	req.Header.Set("Content-Type", "application/json")

	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	var result struct {
		Choices []struct {
			Message struct {
				Content string `json:"content"`
			} `json:"message"`
		} `json:"choices"`
	}
	if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
		panic(err)
	}
	fmt.Println(result.Choices[0].Message.Content)
}

curl https://api.inference.net/v1/chat/completions \
  -H "Authorization: Bearer $INFERENCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.2",
    "messages": [{"role": "user", "content": "Hello, world!"}]
  }'