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feat(agent): grep-based completeness sweep for the query agent - #84

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feat/grep-wiki-search
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feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
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feat/grep-wiki-search

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Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

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After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

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Formations · PR #84 · e9bfea8f4a0e · NO ACTION

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
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function addCopyButtons() {
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btn.textContent = 'Copy';
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btn.textContent = 'Copied!';
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
Skip to content

feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

Conversation

@KylinMountain

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Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

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CollaboratorAuthor

After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

Copy link
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Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

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Impacted

Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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@KylinMountain@veereshkumar-se
, 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
Skip to content

feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

Conversation

@KylinMountain

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Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

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CollaboratorAuthor

After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

Copy link
Copy Markdown

Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

Intent

Severity

0

Impacted

Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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@KylinMountain@veereshkumar-se
, 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
Skip to content

feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

Conversation

@KylinMountain

Copy link
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Collaborator

Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

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CollaboratorAuthor

After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

Copy link
Copy Markdown

Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

Intent

Severity

0

Impacted

Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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2 participants

@KylinMountain@veereshkumar-se
, 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + ' feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
Skip to content

feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

Conversation

@KylinMountain

Copy link
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Collaborator

Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

Copy link
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CollaboratorAuthor

After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

Copy link
Copy Markdown

Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

Intent

Severity

0

Impacted

Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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2 participants

@KylinMountain@veereshkumar-se
, 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
Skip to content

feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

Conversation

@KylinMountain

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Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

Copy link
Copy Markdown
CollaboratorAuthor

After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

Copy link
Copy Markdown

Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

Intent

Severity

0

Impacted

Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
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feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
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feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

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@KylinMountain

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Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

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After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

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Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

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Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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@KylinMountain@veereshkumar-se
, 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); feat(agent): grep-based completeness sweep for the query agent by KylinMountain · Pull Request #84 · VectifyAI/OpenKB · GitHub
Skip to content

feat(agent): grep-based completeness sweep for the query agent - #84

Open
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search
Open

feat(agent): grep-based completeness sweep for the query agent#84
KylinMountain wants to merge 8 commits into
mainfrom
feat/grep-wiki-search

Conversation

@KylinMountain

Copy link
Copy Markdown
Collaborator

Summary

Adds a lexical grep capability to the query/chat agent as a final completeness check before it finalizes an answer — backstopping the lossy LLM-generated summary layer. Inspired by "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search" (arXiv:2605.15184): at OpenKB's scale a capable agent + grep matches embedding/vector retrieval, with zero index infrastructure.

Division of labour stays clean:

  • index.md / summaries — primary breadth (unchanged, still first).
  • PageIndex — depth within long documents (unchanged).
  • grep (new) — completeness sweep over the raw *.md layer to catch details summaries dropped, pages never read, and contradicting mentions.

What changed

  1. grep_wiki_files() helper (openkb/agent/tools.py) — shells out to ripgrep (preferred) / grep (fallback) over every wiki *.md (summaries, concepts, entities, explorations, index.md, short-doc sources/*.md); excludes long-doc *.json (PageIndex's domain) and log.md. Injection-safe (shell=False, pattern via -e), result-capped at 50, --no-ignore so gitignored wiki dirs still match, never raises.
  2. grep_wiki agent tool (openkb/agent/query.py) — wraps the helper on the query agent; chat agent inherits it via clone.
  3. "COMPLETENESS SWEEP" instruction — tells the agent to grep the question's salient terms + unsourced draft claims before finalizing, try lexical variants, fold in unread matches, note contradictions with citations, bounded to ≤3 rounds; explicitly a check, not the primary search.

Test Plan

  • pytest tests/test_grep.py tests/test_query.py → 26 passed
  • Helper unit tests: scope inclusion/exclusion (json + log.md excluded), case sensitivity, fixed-string vs regex, result cap + truncation notice, relative-path output, shell-injection safety, and the ripgrep branch (mock-verified command construction incl. --no-ignore)
  • Agent wiring: grep_wiki registered on query agent; chat inherits via clone
  • Manual: run openkb chat against a KB and confirm the agent greps before answering

Note: 4 unrelated tests/test_url_ingest.py failures are pre-existing (missing optional trafilatura dep), not introduced here.

Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py Fixed
Comment threadtests/test_grep.py

import pytest

import openkb.agent.tools as tools_mod
@KylinMountain

Copy link
Copy Markdown
CollaboratorAuthor

After some tests, it seems that paying extra for additional tokens does not lead to better results. So just leave it here, if you have better experiment on large dataset, we can consider merge it.

@veereshkumar-se

Copy link
Copy Markdown

Formations · PR #84 · e9bfea8f4a0e · NO ACTION

PR tests

Intent

Severity

0

Impacted

Selfhealed

Details

1 · PR tests

No PR test run recorded for this head.

2 · Classification

Intent: — · Severity:

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Labels

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Development

Successfully merging this pull request may close these issues.

2 participants

@KylinMountain@veereshkumar-se