Working with API
LangDB provides access to 350+ LLMs with OpenAI compatible APIs.
You can use LangDB as a drop-in replacement for OpenAI APIs, making it easy to integrate into existing workflows and libraries such as OpenAI Client SDK.
You can choose from any of the supported models.
from openai import OpenAI
langdb_project_id = "xxxxx" # LangDB Project ID
client = OpenAI(
base_url=f"https://api.us-east-1.langdb.ai/{langdb_project_id}/v1",
api_key="xxxxx" , # LangDB token
)
response = client.chat.completions.create(
model="anthropic/claude-sonnet-4", # Change Model
messages=[
{"role": "system", "content": "You are a helpful assistant"},
{"role": "user", "content": "What are the earnings of Apple in 2022?"},
],
)
print("Assistant:", response.choices[0].message)import { OpenAI } from 'openai';
const langdbProjectId = 'xxxx'; // LangDB Project ID
const client = new OpenAI({
baseURL: `https://api.us-east-1.langdb.ai/${langdbProjectId}/v1`,
apiKey: 'xxxx' // Your LangDB token,
});
const messages = [
{
role: 'system',
content: 'You are a helpful assistant.'
},
{
role: 'user',
content: 'What are the earnings of Apple in 2022?'
}
];
async function getAssistantReply() {
const { choices } = await client.chat.completions.create({
model: 'gpt-4o-mini',
messages: messages
});
console.log('Assistant:', choices[0].message.content);
}
getAssistantReply();After sending your request, you can see the Traces on the dashboard:
Last updated
Was this helpful?