India's own
LLM.

from openai import OpenAI

# Initialize Casturi OpenAI-compatible client
client = OpenAI(
    base_url="https://api.casturi.ai/v1",
    api_key="sk-casturi-your-api-key"
)

response = client.chat.completions.create(
    model="casturi-llm-v1",
    messages=[
        {"role": "system", "content": "You are an expert AI engineer."},
        {"role": "user", "content": "Optimize this microservice query"}
    ],
    temperature=0.2,
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://api.casturi.ai/v1',
  apiKey: process.env.CASTURI_API_KEY,
});

async function main() {
  const completion = await openai.chat.completions.create({
    model: 'casturi-llm-v1',
    messages: [{ role: 'user', content: 'Generate a React modal component' }],
    temperature: 0.3,
  });
  console.log(completion.choices[0].message.content);
}
main();

curl https://api.casturi.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-casturi-your-api-key" \
  -d '{
    "model": "casturi-llm-v1",
    "messages": [
      {"role": "user", "content": "Explain async context managers in Python"}
    ],
    "temperature": 0.2
  }'

package main

import (
    "context"
    "fmt"
    "github.com/sashabaranov/go-openai"
)

func main() {
    config := openai.DefaultConfig("sk-casturi-your-api-key")
    config.BaseURL = "https://api.casturi.ai/v1"
    client := openai.NewClientWithConfig(config)

    resp, _ := client.CreateChatCompletion(context.Background(), openai.ChatCompletionRequest{
        Model: "casturi-llm-v1",
        Messages: []openai.ChatCompletionMessage{{Role: "user", Content: "Hello Casturi!"}},
    })
    fmt.Println(resp.Choices[0].Message.Content)
}