One key. Every model your product needs.

curl https://api.larsa.larsima.com/v1/chat/completions \
  -H "Authorization: Bearer $LARSA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "larsa-general",
    "messages": [
      {"role": "user", "content": "Summarize this clause in plain language."}
    ]
  }'

import os

from openai import OpenAI

client = OpenAI(
    api_key=os.environ["LARSA_API_KEY"],
    base_url="https://api.larsa.larsima.com/v1",
)

resp = client.chat.completions.create(
    model="larsa-general",
    messages=[{"role": "user", "content": "Summarize this clause in plain language."}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LARSA_API_KEY,
  baseURL: "https://api.larsa.larsima.com/v1",
});

const resp = await client.chat.completions.create({
  model: "larsa-general",
  messages: [{ role: "user", content: "Summarize this clause in plain language." }],
});

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

package main

import (
    "context"
    "fmt"
    "os"

    openai "github.com/sashabaranov/go-openai"
)

func main() {
    cfg := openai.DefaultConfig(os.Getenv("LARSA_API_KEY"))
    cfg.BaseURL = "https://api.larsa.larsima.com/v1"
    client := openai.NewClientWithConfig(cfg)

    resp, _ := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{
        Model: "larsa-general",
        Messages: []openai.ChatCompletionMessage{
            {Role: "user", Content: "Summarize this clause in plain language."},
        },
    })

    fmt.Println(resp.Choices[0].Message.Content)
}