Lamini API
Lamini API
LLM fine-tuning platform for enterprise with high accuracy and data privacy.
Quick Facts
| Field | Value |
|---|---|
| Provider | Lamini |
| Category | AI & Machine Learning APIs |
| Website | https://lamini.ai |
| Authentication | API Key |
| Pricing Model | usage-based |
| Free Tier | Limited free credits for new users |
| Rate Limit | 60 req/min (varies by model) |
Overview
Lamini API is a ai & machine learning apis provided by Lamini. LLM fine-tuning platform for enterprise with high accuracy and data privacy. This API is designed to help developers integrate ai-ml capabilities into their applications with minimal setup and maximum reliability.
The API supports API Key authentication, ensuring secure access to all endpoints. With a usage-based pricing model, Lamini offers flexible options for projects of any size, from prototypes to enterprise deployments.
Lamini maintains comprehensive documentation, SDKs for popular programming languages, and active community support. The API is built on REST principles, returning JSON responses with standard HTTP status codes, making it straightforward to integrate into existing workflows.
Authentication
This API uses API Key authentication. Send your API key in the request header or as a query parameter. The exact method depends on the API specification.
Always store your credentials securely using environment variables or a secrets manager. Never commit API keys to version control or expose them in client-side code.
Code Samples
Python
import requests
import os
API_KEY = os.environ.get("API_KEY", "YOUR_API_KEY")
BASE_URL = "https://api.lamini.ai"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
response = requests.get(f"{BASE_URL}/v1/resources", headers=headers)
print(response.status_code)
print(response.json())
JavaScript
const API_KEY = process.env.API_KEY || 'YOUR_API_KEY';
const BASE_URL = 'https://api.lamini.ai';
const response = await fetch(`${BASE_URL}/v1/resources`, {
headers: {
'Authorization': `Bearer ${API_KEY}`,
'Content-Type': 'application/json'
}
});
const data = await response.json();
console.log(data);
cURL
curl -H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
https://api.lamini.ai/v1/resources
Go
package main
import (
"net/http"
"fmt"
"io"
"os"
)
func main() {
apiKey := os.Getenv("API_KEY")
if apiKey == "" {
apiKey = "YOUR_API_KEY"
}
req, _ := http.NewRequest("GET", "https://api.lamini.ai/v1/resources", nil)
req.Header.Set("Authorization", "Bearer " + apiKey)
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Pricing
The pricing model is usage-based. Pay only for what you use, with pricing based on API calls, tokens, or compute time. Visit the provider’s pricing page at https://lamini.ai for current rates and detailed pricing information.
Use Cases
- Integration: Connect Lamini services to your application for seamless ai-ml functionality.
- Automation: Automate ai-ml workflows and reduce manual operations.
- Scaling: Handle growing ai-ml demands with Lamini’s robust infrastructure.