Rasa API
Rasa API
Open-source conversational AI framework for building contextual chatbots.
Quick Facts
| Field | Value |
|---|---|
| Provider | Rasa |
| Category | AI & Machine Learning APIs |
| Website | https://rasa.com |
| Authentication | Bearer Token |
| Pricing Model | open-source |
| Free Tier | Yes, self-hosted free |
| Rate Limit | 60 req/min (varies by model) |
Overview
Rasa API is a ai & machine learning apis provided by Rasa. Open-source conversational AI framework for building contextual chatbots. This API is designed to help developers integrate ai-ml capabilities into their applications with minimal setup and maximum reliability.
The API supports Bearer Token authentication, ensuring secure access to all endpoints. With a open-source pricing model, Rasa offers flexible options for projects of any size, from prototypes to enterprise deployments.
Rasa 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 Bearer Token authentication. Send your API key as a Bearer token in the Authorization header of each request. The format is: Authorization: Bearer YOUR_API_KEY.
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.rasa.com"
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.rasa.com';
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.rasa.com/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.rasa.com/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 open-source. Open-source software you can self-host for free, with paid managed cloud options. Visit the provider’s pricing page at https://rasa.com for current rates and detailed pricing information.
Use Cases
- Integration: Connect Rasa 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 Rasa’s robust infrastructure.