Gemini

LangDB provides first class support for Gemini models.

You can use OpenAI SDK to run the Gemini models.

Python

# Please install OpenAI SDK first: `pip3 install openai`
from openai import OpenAI
api_base = "https://api.us-east-1.langdb.ai"  # LangDB API base URL
api_key = "xxxxx"  # Replace with your LangDB token
default_headers = {"x-project-id": "xxxxx"} # LangDB Project ID
client = OpenAI(
    base_url=api_base,
    api_key=api_key,
)
response = client.chat.completions.create(
    model="gemini/gemini-1.5-flash-8b",
    messages=[
        {"role": "system", "content": "You are a helpful assistant"},
        {"role": "user", "content": "Hello"}
    ],
    stream=False
)
print(response.choices[0].message.content)

Node

// Please install OpenAI SDK first: `npm install openai`
import OpenAI from "openai";
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,
});
async function main() {
  const completion = await client.chat.completions.create({
    messages: [{ role: "system", content: "You are a helpful assistant." }, {"role": "user", "content": "Hello"}],
    model: "gemini/gemini-1.5-flash-8b",
  }, { headers: defaultHeaders });
  console.log(completion.choices[0].message.content);
}
main();

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": "gemini/gemini-1.5-flash-8b",
        "messages": [
            {
                "role": "system",
                "content": "You are helpful assistant",
            },
            {
                "role": "user",
                "content": "Write a haiku about recursion in programming."
            }
        ]
    }'