Files
AutoGPT/docs/integrations/system/library_operations.md
Nicholas Tindle c1a1767034 feat(docs): Add block documentation auto-generation system (#11707)
- Add generate_block_docs.py script that introspects block code to
generate markdown
- Support manual content preservation via <!-- MANUAL: --> markers
- Add migrate_block_docs.py to preserve existing manual content from git
HEAD
- Add CI workflow (docs-block-sync.yml) to fail if docs drift from code
- Add Claude PR review workflow (docs-claude-review.yml) for doc changes
- Add manual LLM enhancement workflow (docs-enhance.yml)
- Add GitBook configuration (.gitbook.yaml, SUMMARY.md)
- Fix non-deterministic category ordering (categories is a set)
- Add comprehensive test suite (32 tests)
- Generate docs for 444 blocks with 66 preserved manual sections

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

<!-- Clearly explain the need for these changes: -->

### Changes 🏗️

<!-- Concisely describe all of the changes made in this pull request:
-->

### 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] Extensively test code generation for the docs pages



<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> Introduces an automated documentation pipeline for blocks and
integrates it into CI.
> 
> - Adds `scripts/generate_block_docs.py` (+ tests) to introspect blocks
and generate `docs/integrations/**`, preserving `<!-- MANUAL: -->`
sections
> - New CI workflows: **docs-block-sync** (fails if docs drift),
**docs-claude-review** (AI review for block/docs PRs), and
**docs-enhance** (optional LLM improvements)
> - Updates existing Claude workflows to use `CLAUDE_CODE_OAUTH_TOKEN`
instead of `ANTHROPIC_API_KEY`
> - Improves numerous block descriptions/typos and links across backend
blocks to standardize docs output
> - Commits initial generated docs including
`docs/integrations/README.md` and many provider/category pages
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
631e53e0f6. 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>
2026-01-19 07:03:19 +00:00

3.1 KiB

System Library Operations

Blocks for managing agents in your personal AutoGPT library.

Add To Library From Store

What it is

Add an agent from the store to your personal library

How it works

This block copies an agent from the public store into your personal library using its store_listing_version_id. Optionally provide a custom agent_name to rename it in your library.

The block returns the library entry ID and agent graph ID, which can be used to execute the agent or manage your library.

Inputs

Input Description Type Required
store_listing_version_id The ID of the store listing version to add to library str Yes
agent_name Optional custom name for the agent in your library str No

Outputs

Output Description Type
error Error message if the operation failed str
success Whether the agent was successfully added to library bool
library_agent_id The ID of the library agent entry str
agent_id The ID of the agent graph str
agent_version The version number of the agent graph int
agent_name The name of the agent str
message Success or error message str

Possible use case

Agent Provisioning: Automatically add recommended agents to a user's library.

Onboarding Flows: Set up a user's library with starter agents during onboarding.

Dynamic Agent Access: Add agents on-demand when users request specific capabilities.


List Library Agents

What it is

List all agents in your personal library

How it works

This block retrieves all agents stored in your personal library. Use search_query to filter by name, and limit/page for pagination through large libraries.

Results include each agent's metadata and are output both as a complete list and individually for iteration.

Inputs

Input Description Type Required
search_query Optional search query to filter agents str No
limit Maximum number of agents to return int No
page Page number for pagination int No

Outputs

Output Description Type
error Error message if the operation failed str
agents List of agents in the library List[LibraryAgent]
agent Individual library agent (yielded for each agent) LibraryAgent
total_count Total number of agents in library int
page Current page number int
total_pages Total number of pages int

Possible use case

Agent Selection: Display available agents for users to choose from in a workflow.

Library Management: Build interfaces for users to manage and organize their agent library.

Agent Inventory: Check what agents are available before deciding which to execute.