Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, '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('^' + ".*" + ' fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, '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('^' + ".*" + ' fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, '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" + ' fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, '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('^' + ".*" + ' fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, '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('^' + ".*" + ' fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa
, '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); } })(); })(); fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) by hudsonwa · Pull Request #218 · VectifyAI/OpenKB · GitHub
Skip to content

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73) - #218

Open
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget
Open

fix(compiler): cap short-doc source text via configurable max_doc_chars (#73)#218
hudsonwa wants to merge 1 commit into
VectifyAI:mainfrom
hudsonwa:fix/markdown-content-budget

Conversation

@hudsonwa

Copy link
Copy Markdown

What

Fixes#73 (partially, the "graceful degradation" minimum it explicitly allows).

The short-doc compile path sends the entire markdown source file as a single LLM message (compile_short_doc reads the whole file and injects it into the summary prompt). An oversized markdown doc therefore overflows the model context and either fails or has its tail silently dropped — which is exactly what breaks ingesting large markdown files with local/private models.

This adds a configurable hard cap, max_doc_chars (default 500k chars ≈ 125k tokens — a pure safety ceiling that never affects normal docs), that truncates the payload and appends an explicit marker so the model knows the tail was cut and the user can see it happened. Local-model users lower max_doc_chars to fit their context window.

Why this scope

Issue #73 proposes a full heading-aware chunking + hierarchical-synthesis feature (medium/large). This PR ships the small, safe, "at minimum" increment the issue itself lists first: graceful degradation instead of a hard failure. It's a strict safety net; structured chunking can build on top later.

Changes

  • openkb/config.py — add max_doc_chars to DEFAULT_CONFIG and GLOBAL_SCALAR_KEYS (layers global → KB like pageindex_threshold).
  • openkb/api_models.py — expose max_doc_chars in the writable config schema (keeps GLOBAL_SCALAR_KEYS == _KB_CONFIG_WRITABLE_KEYS).
  • openkb/agent/compiler.py — new _maybe_truncate_doc(content, max_doc_chars, doc_name) helper; compile_short_doc applies it after reading the source.
  • docsconfig.yaml.example, README.md, examples/configuration/README.md.
  • teststest_compiler.py: 4 unit tests on the helper + 2 integration tests proving compile_short_doc truncates an oversized doc (marker present, tail gone) and passes through a doc within budget.

Verification

  • RED→GREEN proven: with the source fix reverted, _maybe_truncate_doc doesn't exist and the new tests fail at import (RED); with the fix, all 6 pass (GREEN).
  • pytest tests/test_compiler.py tests/test_config.py tests/test_api.py tests/test_api_documents.py tests/test_api_watch.py tests/test_indexer.py tests/test_file_size.py422 passed.
  • ruff check clean; ruff format clean.

No new dependencies. Diff: ~37 source lines + docs + tests.

The short-doc compile path sends the whole markdown source file as a single
LLM message, so an oversized doc overflows the model context and fails
(issue VectifyAI#73). Add max_doc_chars (default 500k chars, configurable per-KB/
global and via the API PATCH) that truncates the payload with an explicit
marker so the model knows the tail is missing.
- config.py: add max_doc_chars to DEFAULT_CONFIG + GLOBAL_SCALAR_KEYS
- api_models.py: expose max_doc_chars in the writable config schema
- compiler.py: _maybe_truncate_doc helper + use in compile_short_doc
- docs: config.yaml.example, README, examples/configuration
- tests: unit + integration (RED->GREEN proven); 6 new tests
Sign up for freeto join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

No chunking for markdown files — entire document sent as single LLM message, fails on context overflow

1 participant

@hudsonwa