Fireworks AI API
Fireworks AI API
High-speed inference for open-source LLMs and image generation models.
Quick Facts
| Field | Value |
|---|---|
| Provider | Fireworks AI |
| Category | AI & Machine Learning APIs |
| Website | https://fireworks.ai |
| Authentication | Bearer Token |
| Pricing Model | usage-based |
| Free Tier | Limited free credits for new users |
| Rate Limit | 60 req/min (varies by model) |
Overview
Fireworks AI API is a ai & machine learning apis provided by Fireworks AI. High-speed inference for open-source LLMs and image generation models. 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 usage-based pricing model, Fireworks AI offers flexible options for projects of any size, from prototypes to enterprise deployments.
Fireworks AI 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.fireworks.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.fireworks.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.fireworks.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.fireworks.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://fireworks.ai for current rates and detailed pricing information.
Use Cases
- Integration: Connect Fireworks AI 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 Fireworks AI’s robust infrastructure.