Which AI / LLM providers does Hexabot support?

Hexabot uses the Vercel AI SDK under the hood for its AI-powered actions. This means Hexabot can work with the AI model providers supported by the Vercel AI SDK, as long as the corresponding provider package and credentials are configured in your project.

You can use AI providers with actions such as:

• AI Agent (ai_agent)

• AI Generate Reply (ai_generate_reply)

• AI Infer Object (ai_infer_object)

These actions allow you to attach a model binding to the action step. From the model binding panel, you can select the AI provider from the Provider dropdown, enter the model name, and configure the required credentials.

Supported providers

Hexabot currently supports the following Vercel AI SDK-compatible providers:

Provider	Provider key
Alibaba	alibaba
Amazon Bedrock	amazon-bedrock
Anthropic	anthropic
AssemblyAI	assemblyai
Azure	azure
Baseten	baseten
Black Forest Labs	black-forest-labs
ByteDance	bytedance
Cerebras	cerebras
Claude	claude
Cohere	cohere
Deepgram	deepgram
DeepInfra	deepinfra
DeepSeek	deepseek
ElevenLabs	elevenlabs
Fal	fal
Fireworks	fireworks
Gateway	gateway
Gemini	gemini
Gladia	gladia
Google	google
Google Vertex AI	google-vertex
Groq	groq
Hugging Face	huggingface
Hume	hume
Kling AI	klingai
LiteLLM	litellm
LMNT	lmnt
Luma	luma
Mistral	mistral
Moonshot AI	moonshotai
OpenAI Responses API	open-responses
OpenAI	openai
OpenAI-compatible	openai-compatible
Perplexity	perplexity
Prodia	prodia
Replicate	replicate
Rev AI	revai
Together AI	togetherai
Vercel	vercel
xAI	xai

This includes popular LLM providers such as OpenAI, Anthropic, Google Gemini, Groq, Mistral, Amazon Bedrock, Azure, Cohere, DeepSeek, Perplexity, xAI, and others.

It also includes providers for additional AI capabilities, such as speech, audio, image, or multimodal services, depending on what is supported by the underlying Vercel AI SDK provider.

How to select a provider in Hexabot

To use an AI provider in a workflow:

1. Open a flow in the visual editor.

2. Add or select an AI action, such as AI Agent, AI Generate Reply, or AI Infer Object.

3. Attach a model binding to the action step.

4. In the Add Model binding panel, select the provider from the Provider dropdown.

5. Enter the model name.

6. Select or create the required credential.

7. Save the model binding.

For example, depending on the provider you selected, you may use model names such as:

Provider	Example model name
OpenAI	gpt-5.2
Anthropic	claude-3-5-sonnet-latest
Google / Gemini	gemini-2.0-flash
Mistral	mistral-large-latest
Groq	llama-3.3-70b-versatile

The exact model name depends on the provider and the models available in your account.

Providers installed by default

When creating a new Hexabot project using the starter template, a few AI SDK provider packages are already included by default.

Package	Provider
@ai-sdk/anthropic	Anthropic
@ai-sdk/amazon-bedrock	Amazon Bedrock
@ai-sdk/google	Google / Gemini
@ai-sdk/groq	Groq
@ai-sdk/mistral	Mistral

This means that, out of the box, the starter project includes support for providers such as Anthropic, Amazon Bedrock, Google / Gemini, Groq, and Mistral.

Using another provider

If you want to use a provider that is not installed by default, you may need to install the corresponding @ai-sdk/* package in your Hexabot project.

For example, to use Mistral, you may need to install:

npm install @ai-sdk/mistral

For another provider, install the package recommended by the Vercel AI SDK documentation:

npm install @ai-sdk/provider-name

After installing the package, rebuild and restart your Hexabot project so the provider can be loaded correctly.

Credentials

Most AI providers require credentials such as an API key, access token, or cloud configuration.

In Hexabot, credentials are managed separately from the workflow logic. When creating a model binding, you can select an existing credential or add a new one from the model binding panel.

The exact credential fields depend on the selected provider. For example:

Provider	Typical credential requirements
OpenAI	API key
Anthropic	API key
Google / Gemini	Google AI API key
Amazon Bedrock	AWS credentials and region
Azure	Azure OpenAI endpoint, deployment, and API key
OpenAI-compatible	Base URL, API key, and model name

OpenAI-compatible providers

Hexabot also supports the openai-compatible provider option.

This is useful when working with platforms that expose an OpenAI-compatible API, including self-hosted models, third-party model gateways, or custom inference endpoints.

In that case, you typically need to configure:

Setting	Description
Base URL	The API endpoint exposed by the provider
API key	The authentication key required by the provider
Model name	The model identifier expected by the provider

Notes and limitations

Provider availability depends on both Hexabot and the installed Vercel AI SDK provider packages in your project.

Some providers may require additional configuration, environment variables, or cloud permissions.

Some providers support text generation only, while others may support embeddings, speech, transcription, image generation, or multimodal capabilities. The features available inside Hexabot depend on the selected AI action and the capabilities exposed by the underlying provider.

Summary

Hexabot supports a wide range of AI and LLM providers through the Vercel AI SDK. You can choose the provider directly from the model binding panel when configuring AI actions such as AI Agent, AI Generate Reply, or AI Infer Object.

The starter template includes several providers by default, and additional providers can usually be enabled by installing the corresponding @ai-sdk/* package and configuring the required credentials.