nab 0.7.1

Token-optimized HTTP client for LLMs — fetches any URL as clean markdown
Documentation 
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# Hacker News item extraction via Algolia HN Search API.
#
# Matches individual item pages (item?id=NNN).
# Uses the Algolia API which returns structured JSON with title, author,
# points, text, URL, and top-level comments.

[site]
name = "hackernews-item"
patterns = ["news\\.ycombinator\\.com/item\\?id=\\d+"]

[rewrite]
from = "(?i)https?://news\\.ycombinator\\.com/item\\?id=(\\d+).*"
to   = "https://hn.algolia.com/api/v1/items/$1"

[request]
accept = "application/json"

[json]
title      = ".title"
url        = ".url"
author     = ".author"
points     = ".points"
text       = ".text"
created_at = ".created_at"
type       = ".type"

[template]
format = """
## {title|strip_html}

{points|number} points by {author} · {created_at}

{text|strip_html}

[{url}]({url})

### Top Comment

**{comment_author}** · {comment_points|number} points

{comment_text|strip_html}

---

[View on Hacker News]({original_url})
"""

[metadata]
platform           = "Hacker News"
author_field       = "author"
title_field        = "title"
canonical_url_field = ""

[engagement]
likes = "points"

[[fetch_concurrent]]
prefix       = "comment"
rewrite_from = "(?i)https?://news\\.ycombinator\\.com/item\\?id=(\\d+).*"
rewrite_to   = "https://hn.algolia.com/api/v1/items/$1"
items_path   = ".children"
max_items    = 3
accept       = "application/json"

[fetch_concurrent.json]
author = ".author"
text   = ".text"
points = ".points"