FireworksAI

LangDB provides first class support for FireworksAI opensource hosted models.

You can use OpenAI SDK to run the FireworksAI models.

Python

from openai import OpenAI
client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai"  # LangDB API base URL,
    api_key=api_key,  # Replace with your LangDB token
)
# Make the API call to LangDB's Completions API
response = client.chat.completions.create(
    model="fireworksai/deepseek-r1",  # Use the model
    messages=[{"role": "user", "content": "Hello!"}],  
    extra_headers={"x-project-id": "xxxxx"} # LangDB Project ID
)

Node

import { OpenAI } from 'openai'; // Assuming you're using the OpenAI Node.js SDK
const apiBase = "https://api.us-east-1.langdb.ai";  // LangDB API base URL
const apiKey = "LANGDB_API_KEY";  // Replace with your LangDB token
const defaultHeaders = { "x-project-id": "xxxx" };  // LangDB Project ID
const client = new OpenAI({
  baseURL: apiBase,
  apiKey: apiKey,
});
const response = await client.chat.completions.create({
      model: "fireworksai/deepseek-r1",  // Use the model
      messages: [{"role": "user","content": "What are the earnings of Apple in 2022?"}], 
    }, { headers: defaultHeaders });
// Rest of Your Code\

cURL

curl "https://api.us-east-1.langdb.ai/v1/chat/completions" \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $LANGDB_API_KEY" \
    -X "X-Project-Id: $Project_ID" \
    -d '{
        "model": "fireworksai/deepseek-r1",
        "messages": [
            {
                "role": "user",
                "content": "Write a haiku about recursion in programming."
            }
        ],
    }'