VoltAgent

OverviewCopy Anchor Link

VoltAgent accepts AI SDK language models directly. Configure an OpenAI-compatible AI SDK provider with TokenLab's /v1 base URL and pass the selected model into your agent.

InstallationCopy Anchor Link

npm install @voltagent/core@2 ai@6 @ai-sdk/openai@3 zod

EnvironmentCopy Anchor Link

export TOKENLAB_API_KEY="sk-your-tokenlab-key"

Direct AI SDK ProviderCopy Anchor Link

import { Agent } from "@voltagent/core";
import { createOpenAI } from "@ai-sdk/openai";

const tokenlab = createOpenAI({
  apiKey: process.env.TOKENLAB_API_KEY,
  baseURL: "https://api.tokenlab.sh/v1",
});

const agent = new Agent({
  name: "tokenlab-agent",
  instructions: "Answer concisely.",
  model: tokenlab.chat("claude-sonnet-5"),
});

Model Router PathCopy Anchor Link

If your VoltAgent registry snapshot includes a TokenLab provider entry from models.dev, configure:

export TOKENLAB_API_KEY="sk-your-tokenlab-key"
export TOKENLAB_BASE_URL="https://api.tokenlab.sh/v1"

Then use the registry model string, for example tokenlab/claude-sonnet-5.

Endpoint NotesCopy Anchor Link

The direct AI SDK path is the most explicit setup. Use TokenLab native Responses, Anthropic Messages, or Gemini endpoints only when your selected AI SDK provider/client is configured for that protocol.