Models & Providers

# .env file
GOOGLE_API_KEY=your_google_api_key_here

import { LlmAgent } from "@iqai/adk";

// Uses default Gemini model (gemini-2.0-flash)
const agent = new LlmAgent({
  name: "my_agent",
  description: "An agent using the default Gemini model",
  instruction: "You are a helpful assistant",
});

// Use a different Gemini model
const advancedAgent = new LlmAgent({
  name: "advanced_agent",
  description: "Using a more powerful Gemini model",
  model: "gemini-2.5-pro", // Just pass the model name
  instruction: "You are an expert analyst",
});

export { agent, advancedAgent };

# .env file
# For OpenAI:
LLM_MODEL=gpt-4o
OPENAI_API_KEY=your_openai_api_key_here

# Or for Claude:
LLM_MODEL=claude-sonnet-4-5-20250929
ANTHROPIC_API_KEY=your_anthropic_api_key_here

# Or for Groq:
LLM_MODEL=llama-3.3-70b-versatile
GROQ_API_KEY=your_groq_api_key_here

# Or for a different Gemini model:
LLM_MODEL=gemini-2.5-pro
GOOGLE_API_KEY=your_google_api_key_here

import { LlmAgent } from "@iqai/adk";

const { LLM_MODEL } = process.env;

// Using environment-configured model
const agent = new LlmAgent({
  name: "my_agent",
  model: LLM_MODEL, // Will use whatever is set in .env
  instruction: "You are a helpful assistant",
});

// Or directly specify a model name
const openAiAgent = new LlmAgent({
  name: "openai_agent",
  model: "gpt-4o", // Direct model name
  instruction: "You are an expert assistant",
});

export { agent, openAiAgent };

# Install the providers you want to use
npm install @ai-sdk/openai      # For OpenAI models
npm install @ai-sdk/anthropic   # For Anthropic models
npm install @ai-sdk/mistral     # For Mistral models

# .env file
OPENAI_API_KEY=your_openai_api_key_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
MISTRAL_API_KEY=your_mistral_api_key_here

import { LlmAgent } from "@iqai/adk";
import { openai } from "@ai-sdk/openai";
import { anthropic } from "@ai-sdk/anthropic";
import { mistral } from "@ai-sdk/mistral";

// OpenAI models
const gpt4Agent = new LlmAgent({
  name: "gpt4_agent",
  description: "GPT-4 powered assistant",
  model: openai("gpt-4o"),
  instruction: "You are a helpful assistant",
});

// Anthropic models
const claudeAgent = new LlmAgent({
  name: "claude_agent",
  description: "Claude powered assistant",
  model: anthropic("claude-3-5-sonnet-20241022"),
  instruction: "You are a helpful assistant",
});

// Mistral models
const mistralAgent = new LlmAgent({
  name: "mistral_agent",
  description: "Mistral powered assistant",
  model: mistral("mistral-large-latest"),
  instruction: "You are a helpful assistant",
});

npm install @openrouter/ai-sdk-provider

# .env file
OPENROUTER_API_KEY=your_openrouter_api_key_here
OPENROUTER_BASE_URL=https://openrouter.ai/api/v1  # Optional, this is the default
LLM_MODEL=google/gemini-2.5-flash                  # Model to use (with provider prefix)

// lib/helpers/open-router.ts
import { createOpenRouter } from "@openrouter/ai-sdk-provider";

export const openrouter = createOpenRouter({
  apiKey: process.env.OPENROUTER_API_KEY,
  baseURL: process.env.OPENROUTER_BASE_URL,
});

import { LlmAgent } from "@iqai/adk";
import { openrouter } from "./lib/helpers/open-router";

// Using environment-configured model
const agent = new LlmAgent({
  name: "my_agent",
  description: "An agent using OpenRouter",
  model: openrouter(process.env.LLM_MODEL), // e.g., "google/gemini-2.5-flash"
  instruction: "You are a helpful assistant",
});

// Using a specific model directly
const claudeAgent = new LlmAgent({
  name: "claude_agent",
  description: "Claude via OpenRouter",
  model: openrouter("anthropic/claude-sonnet-4-5-20250929"),
  instruction: "You are an expert analyst",
});

// Using Perplexity's online model with web search
const researchAgent = new LlmAgent({
  name: "research_agent",
  description: "Research agent with web search capabilities",
  model: openrouter("perplexity/sonar-pro"),
  instruction:
    "You are a research assistant with access to current web information",
});