> For the complete documentation index, see [llms.txt](https://agpt.co/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agpt.co/docs/integrations/block-integrations/llm_api.md).

# Wolfram LLM API

Blocks for querying Wolfram Alpha's computational knowledge engine.

## Ask Wolfram

### What it is

Ask Wolfram Alpha a question

### How it works

This block queries Wolfram Alpha's LLM API with a natural language question and returns a computed answer. It leverages Wolfram's computational knowledge engine for math, science, geography, and factual queries.

The answer is returned as a string suitable for display or further processing in your workflow.

### Inputs

| Input    | Description         | Type | Required |
| -------- | ------------------- | ---- | -------- |
| question | The question to ask | str  | Yes      |

### Outputs

| Output | Description                           | Type |
| ------ | ------------------------------------- | ---- |
| error  | Error message if the operation failed | str  |
| answer | The answer to the question            | str  |

### Possible use case

**Factual Queries**: Get accurate answers to math, science, or geography questions.

**Calculations**: Perform complex mathematical or unit conversion calculations.

**Data Lookups**: Retrieve factual data like population statistics, chemical properties, or historical dates.

***


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://agpt.co/docs/integrations/block-integrations/llm_api.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.