> ## Documentation Index
> Fetch the complete documentation index at: https://docs.asktable.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Configuring LLMs

> AskTable works with any OpenAI-compatible or Anthropic model. The console wizard walks you through setup; this page covers the background and how to get model compute.

AskTable is not tied to any single LLM. On first start, the console's **setup wizard** walks you through configuring a model step by step — you just need one model's connection details. This page covers the background and how to get model compute.

## Supported models

Anything reachable through one of these two protocols works:

* **OpenAI-compatible** — OpenAI GPT, Alibaba Cloud Model Studio (Qwen), DeepSeek, and any OpenAI-compatible endpoint.
* **Anthropic** — the Claude family.

## Requirements

AskTable's agents query data, run Python, and draw charts by **calling tools**, so a model **must support function / tool calling**.

Use **deepseek-v4-pro** as the capability baseline — stronger models are more reliable, and a larger context window helps too.

## Getting model compute

If you'd rather not bring your own model key, use AskTable's hosted compute: apply for a **model-compute API key** on the [Private deployment page](https://cloud.asktable.com/u/settings/private-deploy) in the AskTable cloud console and enter it in the wizard — no need to integrate each provider yourself.

To use your own or an in-network model, choose Custom in the wizard and enter the model's endpoint, key, and name.

## Next steps

* [Self-hosting (Docker)](/en/deploy/docker) — deploy AskTable itself
* [Connecting Data](/en/concepts/data/connect) — bring your data in