a318832414
<!-- Clearly explain the need for these changes: -->
gitbook branch has changes that need synced to dev
### Changes 🏗️
Pull changes from gitbook into dev
<!-- Concisely describe all of the changes made in this pull request:
-->
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Migrates documentation to GitBook and removes the old MkDocs setup.
>
> - Removes MkDocs configuration and infra: `docs/mkdocs.yml`,
`docs/netlify.toml`, `docs/overrides/main.html`,
`docs/requirements.txt`, and JS assets (`_javascript/mathjax.js`,
`_javascript/tablesort.js`)
> - Updates `docs/content/contribute/index.md` to describe GitBook
workflow (gitbook branch, editing, previews, and `SUMMARY.md`)
> - Adds GitBook navigation file `docs/platform/SUMMARY.md` and a new
platform overview page `docs/platform/what-is-autogpt-platform.md`
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
e7e118b5a8. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Updated contribution guide for new documentation platform and workflow
* Added new platform overview and navigation documentation
* **Chores**
* Removed MkDocs configuration and related dependencies
* Removed deprecated JavaScript integrations and deployment overrides
<sub>✏️ Tip: You can customize this high-level summary in your review
settings.</sub>
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
4.4 KiB
🧠 Running AI/ML API with AutoGPT
Follow these steps to connect AI/ML API with the AutoGPT platform for high-performance AI text generation.
✅ Prerequisites
- Make sure you have gone through and completed the AutoGPT Setup Guide, and AutoGPT is running locally at
http://localhost:3000. - You have an API key from AI/ML API.
⚙️ Setup Steps
1. Start AutoGPT Locally
Follow the official guide: 📖 AutoGPT Getting Started Guide
Make sure AutoGPT is running and accessible at: http://localhost:3000
💡 Keep AutoGPT running in a terminal or Docker throughout the session.
2. Open the Visual Builder
Open your browser and go to: http://localhost:3000/build
Or click “Build” in the navigation bar.
3. Add an AI Text Generator Block
- Click the "Blocks" button on the left sidebar.
- In the search bar, type
AI Text Generator. - Drag the block into the canvas.
4. Select an AI/ML API Model
Click the AI Text Generator block to configure it.
In the LLM Model dropdown, select one of the supported models from AI/ML API:
| Model ID | Speed | Reasoning Quality | Best For |
|---|---|---|---|
Qwen/Qwen2.5-72B-Instruct-Turbo |
Medium | High | Text-based tasks |
nvidia/llama-3.1-nemotron-70b-instruct |
Medium | High | Analytics and reasoning |
meta-llama/Llama-3.3-70B-Instruct-Turbo |
Low | Very High | Complex multi-step tasks |
meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo |
Low | Very High | Deep reasoning |
meta-llama/Llama-3.2-3B-Instruct-Turbo |
High | Medium | Fast responses |
✅ These models are available via OpenAI-compatible API from AI/ML API
5. Configure the Prompt and API Key
Inside the AI Text Generator block:
- Enter your prompt text in the Prompt field.
- Enter your AI/ML API Key in the designated field.
🔐 You can get your key from: https://aimlapi.com/app/keys/
6. Save Your Agent
Click the “Save” button at the top-right of the builder interface:
- Give your agent a name (e.g.,
aimlapi_test_agent). - Click “Save Agent” to confirm.
💡 Saving allows reuse, scheduling, and chaining in larger workflows.
7. Run Your Agent
From the workspace:
- Press “Run” next to your saved agent.
- The request will be sent to the selected AI/ML API model.
8. View the Output
- Scroll to the AI Text Generator block.
- Check the Output panel below it.
- You can copy, export, or pass the result to further blocks.
🔄 Expand Your Agent
Now that AI/ML API is connected, expand your workflow by chaining additional blocks:
- 🔧 Tools – fetch URLs, call APIs, scrape data
- 🧠 Memory – retain context across interactions
- ⚙️ Actions / Chains – create full pipelines
🎉 You’re now generating AI responses using enterprise-grade models from AI/ML API in AutoGPT!