smartgate-network deep-reading
Purpose: Fetch and compress a single user-known URL into condensed text for Host LLM deep reading, summarization, or Q&A.
When to use:
- Official docs / API reference: OpenAPI specs, SDK docs, product manuals
- Long blog posts or technical articles: preprocess input for single-document reading
- Whitepapers / RFCs: compress before LLM extracts section highlights
- User message already contains a clear link — no search step needed
When NOT to use:
- No definitive URL and multiple sources are needed — use research-agent
- Persist conclusions to team memory — read with this workflow, then remember-and-recall (action=add)
- Query quota — use usage-report
Returns: JSON string. When loader calls smart_pipe with template=read, top level has success and results. results[0] is fetch: data.markdown, data.title, data.url. results[1] is context_gate: data.compressed, data.ratio, data.original_tokens, data.compressed_tokens.
Composes with: Host LLM for summaries, Q&A, code examples; output into remember-and-recall; usage-report (action=check) before very long pages.