* feat(web_extract): truncate-and-store instead of LLM summarization
web_extract no longer runs an auxiliary LLM over scraped pages. The extract
backends (Firecrawl/Tavily/Exa/Parallel) already return clean, boilerplate-
stripped markdown, so we return it directly: pages within a char budget
(default 15000, web.extract_char_limit) come back whole; larger pages get a
head+tail window plus an explicit footer giving the stored full-text path and
the read_file call to page through the omitted middle. The full clean text is
written to cache/web (mounted read-only into remote backends like the other
cache dirs), so nothing is lost.
Inline base64 images are converted to [IMAGE: alt] placeholders (token bombs
dropped) while real http(s) image URLs are preserved as links so the agent can
still web_extract/vision_analyze them.
Removes process_content_with_llm + the chunked summarizer + check_auxiliary_model
+ _resolve_web_extract_auxiliary. context_references._default_url_fetcher is
updated to the truncate path and its stale data.documents shape read is fixed
to results (it was silently returning empty).
Live before/after eval (firecrawl, 4 URLs): 11.7x faster overall (176.6s ->
15.1s); 10-60x on large pages. Quality identical; findability 4/4 (answer
recoverable from stored full text on every truncated page). web_search is
unchanged.
No own scraper added; no changes to web_search.
* fix(web_extract): add char_limit to execute_code web_extract stub
The new web_extract char_limit param must appear in the code_execution_tool
_TOOL_STUBS signature (and doc line) or test_stubs_cover_all_schema_params
fails — the stub schema must cover every real schema param.
