LangDB AI Gateway

LangDB AI Gateway provides OpenAI-compatible APIs for routing to multiple LLM providers. The regional API base URL commonly includes your LangDB project id, such as https://api.us-east-1.langdb.ai/{project_id}/v1.

Create the Client

import { AgentBuilder } from "@anvia/core";
import { OpenAIClient } from "@anvia/openai";

const projectId = process.env.LANGDB_PROJECT_ID;

const client = new OpenAIClient({
  baseUrl: `https://api.us-east-1.langdb.ai/${projectId}/v1`,
  apiKey: process.env.LANGDB_API_KEY,
});

const model = client.completionModel("anthropic/claude-sonnet-4");

const agent = new AgentBuilder("support", model)
  .instructions("Answer support questions clearly.")
  .build();

const response = await agent.prompt("Hello!").send();

console.log(response.output);

Use the model ids supported by your LangDB project and region.

Get the Model List

If your LangDB project exposes model listing through its OpenAI-compatible API, listModels() calls the configured /models endpoint.

const models = await client.listModels();

console.table(models.data.map((model) => ({ id: model.id, owner: model.ownedBy })));

Notes

• LangDB can also require project metadata headers depending on the API path and account setup. Keep those values in configuration and pass them with headers if needed.
• Routing, tracing, guardrails, and model access are controlled by your LangDB project.
• Confirm the region-specific base URL before deploying.

For current LangDB details, see the LangDB API guide and AI Gateway API reference.