c1a1767034
- 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>
2.1 KiB
Exa Code Context
Blocks for searching code repositories and documentation using Exa's code context API.
Exa Code Context
What it is
Search billions of GitHub repos, docs, and Stack Overflow for relevant code examples
How it works
This block uses Exa's specialized code search API to find relevant code examples from GitHub repositories, official documentation, and Stack Overflow. The search is optimized for code context, returning formatted snippets with source references.
The block returns code snippets along with metadata including the source URL, search time, and token counts. You can control response size with the tokens_num parameter to balance comprehensiveness with cost.
Inputs
| Input | Description | Type | Required |
|---|---|---|---|
| query | Search query to find relevant code snippets. Describe what you're trying to do or what code you're looking for. | str | Yes |
| tokens_num | Token limit for response. Use 'dynamic' for automatic sizing, 5000 for standard queries, or 10000 for comprehensive examples. | str | int | No |
Outputs
| Output | Description | Type |
|---|---|---|
| error | Error message if the operation failed | str |
| request_id | Unique identifier for this request | str |
| query | The search query used | str |
| response | Formatted code snippets and contextual examples with sources | str |
| results_count | Number of code sources found and included | int |
| cost_dollars | Cost of this request in dollars | str |
| search_time | Time taken to search in milliseconds | float |
| output_tokens | Number of tokens in the response | int |
Possible use case
API Integration Examples: Find real-world code examples showing how to integrate with specific APIs or libraries.
Debugging Assistance: Search for code patterns related to error messages or specific programming challenges.
Learning New Technologies: Discover implementation examples when learning a new framework or programming language.