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Nicholas Tindle 90466908a8 refactor(docs): restructure platform docs for GitBook and remove MkDo… (#11825 )

<!-- Clearly explain the need for these changes: -->
we met some reality when merging into the docs site but this fixes it
### Changes 🏗️
updates paths, adds some guides
<!-- Concisely describe all of the changes made in this pull request:
-->
update to match reality
### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  <!-- Put your test plan here: -->
  - [x] deploy it and validate

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> Aligns block integrations documentation with GitBook.
> 
> - Changes generator default output to
`docs/integrations/block-integrations` and writes overview `README.md`
and `SUMMARY.md` at `docs/integrations/`
> - Adds GitBook frontmatter and hint syntax to overview; prefixes block
links with `block-integrations/`
> - Introduces `generate_summary_md` to build GitBook navigation
(including optional `guides/`)
> - Preserves per-block manual sections and adds optional `extras` +
file-level `additional_content`
> - Updates sync checker to validate parent `README.md` and `SUMMARY.md`
> - Rewrites `docs/integrations/README.md` with GitBook frontmatter and
updated links; adds `docs/integrations/SUMMARY.md`
> - Adds new guides: `guides/llm-providers.md`,
`guides/voice-providers.md`
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
fdb7ff8111. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: bobby.gaffin <bobby.gaffin@agpt.co>

2026-01-23 06:18:16 +00:00

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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.

1.2 KiB Raw Blame History