Providers & Models

VoltAgent leverages the Vercel AI SDK to provide seamless integration with a wide range of AI providers and models. The AI SDK offers a standardized approach to interacting with LLMs through a unified interface that allows you to switch between providers with ease.

Recommended Approach

We strongly recommend using the Vercel AI SDK providers directly with VoltAgent's @voltagent/vercel-ai provider. This gives you access to:

• 30+ AI providers with consistent APIs
• Automatic updates with the latest models
• Built-in support for streaming, tool calling, and structured outputs
• Community-driven provider ecosystem

Custom Providers

While the Vercel AI SDK covers most use cases, VoltAgent also supports custom provider implementation for advanced scenarios. You can create your own provider by implementing the LLMProvider interface.

When to use custom providers:

• Integration with proprietary or internal LLM services
• Advanced control over request/response handling
• Special authentication mechanisms
• Custom retry logic or rate limiting
• Integration with legacy systems

For most use cases, the Vercel AI SDK providers are sufficient and recommended as they offer:

• Battle-tested implementations
• Regular updates and improvements
• Wide community support
• Consistent API across all providers

Tip: Before implementing a custom provider, check if your use case can be covered by the 30+ providers available through Vercel AI SDK, including OpenAI-compatible providers that work with custom endpoints.

Installation

First, install the Vercel AI provider for VoltAgent:

npm

npm install @voltagent/vercel-ai

yarn

yarn add @voltagent/vercel-ai

pnpm

pnpm add @voltagent/vercel-ai

Then install the specific AI SDK provider you want to use:

npm

# For example, to use OpenAI:
npm install @ai-sdk/openai

# Or Anthropic:
npm install @ai-sdk/anthropic

# Or Google:
npm install @ai-sdk/google

yarn

# For example, to use OpenAI:
yarn add @ai-sdk/openai

# Or Anthropic:
yarn add @ai-sdk/anthropic

# Or Google:
yarn add @ai-sdk/google

pnpm

# For example, to use OpenAI:
pnpm add @ai-sdk/openai

# Or Anthropic:
pnpm add @ai-sdk/anthropic

# Or Google:
pnpm add @ai-sdk/google

Usage Example

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

const provider = new VercelAIProvider();

const agent = new Agent({
  name: "my-agent",
  instructions: "You are a helpful assistant",
  llm: provider,
  model: openai("gpt-4-turbo"),
});

Available Providers

First-Party AI SDK Providers

These providers are maintained by Vercel and offer the highest level of support and integration:

Foundation Models

Provider	Package	Documentation	Key Models
xAI Grok	@ai-sdk/xai	Docs	grok-4, grok-3, grok-2-vision
OpenAI	@ai-sdk/openai	Docs	gpt-4.1, gpt-4o, o3, o1
Anthropic	@ai-sdk/anthropic	Docs	claude-opus-4, claude-sonnet-4, claude-3.5
Google Generative AI	@ai-sdk/google	Docs	gemini-2.0-flash, gemini-1.5-pro
Google Vertex	@ai-sdk/google-vertex	Docs	gemini models, claude models via Vertex
Mistral	@ai-sdk/mistral	Docs	mistral-large, pixtral-large, mistral-medium

Cloud Platforms

Provider	Package	Documentation	Description
Amazon Bedrock	@ai-sdk/amazon-bedrock	Docs	Access to various models via AWS
Azure OpenAI	@ai-sdk/azure	Docs	OpenAI models via Azure
Vercel	@ai-sdk/vercel	Docs	v0 model for code generation

Specialized Providers

Provider	Package	Documentation	Specialization
Groq	@ai-sdk/groq	Docs	Ultra-fast inference
Together.ai	@ai-sdk/togetherai	Docs	Open-source models
Cohere	@ai-sdk/cohere	Docs	Enterprise search & generation
Fireworks	@ai-sdk/fireworks	Docs	Fast open-source models
DeepInfra	@ai-sdk/deepinfra	Docs	Affordable inference
DeepSeek	@ai-sdk/deepseek	Docs	DeepSeek models including reasoner
Cerebras	@ai-sdk/cerebras	Docs	Fast Llama models
Perplexity	@ai-sdk/perplexity	Docs	Search-enhanced responses

Audio & Speech Providers

Provider	Package	Documentation	Specialization
ElevenLabs	@ai-sdk/elevenlabs	Docs	Text-to-speech
LMNT	@ai-sdk/lmnt	Docs	Voice synthesis
Hume	@ai-sdk/hume	Docs	Emotional intelligence
Rev.ai	@ai-sdk/revai	Docs	Speech recognition
Deepgram	@ai-sdk/deepgram	Docs	Speech-to-text
Gladia	@ai-sdk/gladia	Docs	Audio intelligence
AssemblyAI	@ai-sdk/assemblyai	Docs	Speech recognition & understanding

Community Providers

These providers are created and maintained by the open-source community:

Provider	Package	Documentation	Description
Ollama	ollama-ai-provider	Docs	Local model execution
FriendliAI	@friendliai/ai-provider	Docs	Optimized inference
Portkey	@portkey-ai/vercel-provider	Docs	LLM gateway & observability
Cloudflare Workers AI	workers-ai-provider	Docs	Edge AI inference
OpenRouter	@openrouter/ai-sdk-provider	Docs	Unified API for multiple providers
Requesty	@requesty/ai-sdk	Docs	Request management
Crosshatch	@crosshatch/ai-provider	Docs	Specialized models
Mixedbread	mixedbread-ai-provider	Docs	Embedding models
Voyage AI	voyage-ai-provider	Docs	Embedding models
Mem0	@mem0/vercel-ai-provider	Docs	Memory-enhanced AI
Letta	@letta-ai/vercel-ai-sdk-provider	Docs	Stateful agents
Spark	spark-ai-provider	Docs	Chinese language models
AnthropicVertex	anthropic-vertex-ai	Docs	Claude via Vertex AI
LangDB	@langdb/vercel-provider	Docs	Database-aware AI
Dify	dify-ai-provider	Docs	LLMOps platform
Sarvam	sarvam-ai-provider	Docs	Indian language models
Claude Code	ai-sdk-provider-claude-code	Docs	Code-optimized Claude
Built-in AI	built-in-ai	Docs	Browser-native AI
Gemini CLI	ai-sdk-provider-gemini-cli	Docs	CLI-based Gemini
A2A	a2a-ai-provider	Docs	Specialized models
SAP-AI	@mymediset/sap-ai-provider	Docs	SAP AI Core integration

OpenAI-Compatible Providers

For providers that follow the OpenAI API specification:

Provider	Documentation	Description
LM Studio	Docs	Local model execution with GUI
Baseten	Docs	Model deployment platform
Any OpenAI-compatible API	Docs	Custom endpoints

Model Capabilities

The AI providers support different language models with various capabilities. Here are the capabilities of popular models:

Provider	Model	Image Input	Object Generation	Tool Usage	Tool Streaming
xAI Grok	grok-4	❌	✅	✅	✅
xAI Grok	grok-3	❌	✅	✅	✅
xAI Grok	grok-3-fast	❌	✅	✅	✅
xAI Grok	grok-3-mini	❌	✅	✅	✅
xAI Grok	grok-3-mini-fast	❌	✅	✅	✅
xAI Grok	grok-2-1212	❌	✅	✅	✅
xAI Grok	grok-2-vision-1212	✅	✅	✅	✅
xAI Grok	grok-beta	❌	✅	✅	✅
xAI Grok	grok-vision-beta	✅	❌	❌	❌
Vercel	v0-1.0-md	✅	✅	✅	✅
OpenAI	gpt-4.1	✅	✅	✅	✅
OpenAI	gpt-4.1-mini	✅	✅	✅	✅
OpenAI	gpt-4.1-nano	✅	✅	✅	✅
OpenAI	gpt-4o	✅	✅	✅	✅
OpenAI	gpt-4o-mini	✅	✅	✅	✅
OpenAI	gpt-4	❌	✅	✅	✅
OpenAI	o3-mini	❌	❌	✅	✅
OpenAI	o3	❌	❌	✅	✅
OpenAI	o4-mini	❌	❌	✅	✅
OpenAI	o1	✅	❌	✅	✅
OpenAI	o1-mini	✅	❌	✅	✅
OpenAI	o1-preview	❌	❌	❌	❌
Anthropic	claude-opus-4-20250514	✅	✅	✅	✅
Anthropic	claude-sonnet-4-20250514	✅	✅	✅	✅
Anthropic	claude-3-7-sonnet-20250219	✅	✅	✅	✅
Anthropic	claude-3-5-sonnet-20241022	✅	✅	✅	✅
Anthropic	claude-3-5-sonnet-20240620	✅	✅	✅	✅
Anthropic	claude-3-5-haiku-20241022	✅	✅	✅	✅
Mistral	pixtral-large-latest	✅	✅	✅	✅
Mistral	mistral-large-latest	❌	✅	✅	✅
Mistral	mistral-medium-latest	❌	✅	✅	✅
Mistral	mistral-medium-2505	❌	✅	✅	✅
Mistral	mistral-small-latest	❌	✅	✅	✅
Mistral	pixtral-12b-2409	✅	✅	✅	✅
Google Generative AI	gemini-2.0-flash-exp	✅	✅	✅	✅
Google Generative AI	gemini-1.5-flash	✅	✅	✅	✅
Google Generative AI	gemini-1.5-pro	✅	✅	✅	✅
Google Vertex	gemini-2.0-flash-exp	✅	✅	✅	✅
Google Vertex	gemini-1.5-flash	✅	✅	✅	✅
Google Vertex	gemini-1.5-pro	✅	✅	✅	✅
DeepSeek	deepseek-chat	❌	✅	✅	✅
DeepSeek	deepseek-reasoner	❌	❌	❌	❌
Cerebras	llama3.1-8b	❌	✅	✅	✅
Cerebras	llama3.1-70b	❌	✅	✅	✅
Cerebras	llama3.3-70b	❌	✅	✅	✅
Groq	meta-llama/llama-4-scout-17b-16e-instruct	✅	✅	✅	✅
Groq	llama-3.3-70b-versatile	❌	✅	✅	✅
Groq	llama-3.1-8b-instant	❌	✅	✅	✅
Groq	mixtral-8x7b-32768	❌	✅	✅	✅
Groq	gemma2-9b-it	❌	✅	✅	✅

Note: This table is not exhaustive. Additional models can be found in the provider documentation pages and on the provider websites.

Migration from Deprecated Providers

If you're currently using VoltAgent's native providers (@voltagent/anthropic-ai, @voltagent/google-ai, @voltagent/groq-ai), we recommend migrating to the Vercel AI SDK providers:

Before (Deprecated):

import { AnthropicProvider } from "@voltagent/anthropic-ai";

const provider = new AnthropicProvider({ apiKey: "..." });
const agent = new Agent({
  llm: provider,
  model: "claude-opus-4-1",
});

After (Recommended):

import { VercelAIProvider } from "@voltagent/vercel-ai";
import { anthropic } from "@ai-sdk/anthropic";

const provider = new VercelAIProvider();
const agent = new Agent({
  llm: provider,
  model: anthropic("claude-opus-4-1"),
});

Environment Variables

Most providers use environment variables for API keys:

# OpenAI
OPENAI_API_KEY=your-key

# Anthropic
ANTHROPIC_API_KEY=your-key

# Google
GOOGLE_GENERATIVE_AI_API_KEY=your-key

# Groq
GROQ_API_KEY=your-key

# And so on...

Next Steps

1. Choose a provider based on your needs (performance, cost, capabilities)
2. Install the corresponding package
3. Configure your API keys
4. Start building with VoltAgent!

For detailed information about each provider, visit the Vercel AI SDK documentation.

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Acknowledgments

The provider lists and model capabilities in this documentation are sourced from the Vercel AI SDK documentation.

A special thanks to the Vercel AI SDK maintainers and community for creating and maintaining this comprehensive ecosystem of AI providers. Their work enables developers to seamlessly integrate with 30+ AI providers through a unified, well-designed interface.

VoltAgent builds upon this excellent foundation to provide a complete framework for building AI agents and workflows.