docs: add release notes for v3.29.2; update index/sidebar; update Chutes AI provider docs (#393)

Author: hannesrudolph

.roo/rules-release-notes-writer/1_main_workflow.xml

@@ -294,9 +294,25 @@ fi
         <parsing>
           <regex>Detect PR references as: /#(\d{1,7})/g</regex>
           <heuristics>
-            - If a bullet has no explicit PR number, attempt fuzzy matching to PR titles
-            - If ambiguous, mark as "unlinked" and exclude by default pending user choice
-          </heuristics>
+  Purpose: Count changelog bullets without explicit PR numbers as "referenced" when they confidently map to a PR.
+  Matching algorithm:
+  - Normalize both bullet text and PR titles:
+    - lowercase; remove punctuation; strip prefixes like "fix:", "feat:", "add:", "improve:", "chore:", "refactor:"
+    - remove parentheticals such as "(thanks @user!)", "(PR by @user)", "(#1234 ...)"
+    - collapse whitespace
+  - Tokenize and compute token-overlap score = |intersection(tokens)| / |union(tokens)|
+  - Author signal: if bullet contains "thanks @user", "by @user", or "PR by @user" and that user equals the PR author or credited issue reporter, add +0.20 to score
+  - Keyword boost: +0.05 when provider/model/domain keywords (e.g., OpenAI, Claude, Grok, Chutes, Qwen, LongCat, etc.) appear in both
+  Confidence thresholds:
+  - score ≥ 0.65 (after boosts) → linked (confident). Treat as changelog-referenced.
+  - 0.45 ≤ score &lt; 0.65 OR multiple candidates within 0.05 → ambiguous (needs review)
+  - score &lt; 0.45 → unlinked
+  Tie-breakers: higher score; if within 0.02 then same author; then closer merge date to release date; then lowest PR number
+  Edge case: If bullet credits exactly one username and exactly one PR in the window has that author, accept with score ≥ 0.50 (confidence="author-boost")
+  Implementation notes:
+  - Match only against PRs fetched for the version's date window
+  - Persist mapping bullet_text → { prNumber, confidenceScore, rationaleSignals[] } and use it to compute linked/ambiguous/unlinked counts
+</heuristics>
         </parsing>
       </step>
 
@@ -649,9 +665,25 @@ fi
         <parsing>
           <regex>Detect PR references as: /#(\d{1,7})/g</regex>
           <heuristics>
-            - If a bullet has no explicit PR number, attempt fuzzy matching to PR titles
-            - If ambiguous, mark as "unlinked" and exclude by default pending user choice
-          </heuristics>
+  Purpose: Count changelog bullets without explicit PR numbers as "referenced" when they confidently map to a PR.
+  Matching algorithm:
+  - Normalize both bullet text and PR titles:
+    - lowercase; remove punctuation; strip prefixes like "fix:", "feat:", "add:", "improve:", "chore:", "refactor:"
+    - remove parentheticals such as "(thanks @user!)", "(PR by @user)", "(#1234 ...)"
+    - collapse whitespace
+  - Tokenize and compute token-overlap score = |intersection(tokens)| / |union(tokens)|
+  - Author signal: if bullet contains "thanks @user", "by @user", or "PR by @user" and that user equals the PR author or credited issue reporter, add +0.20 to score
+  - Keyword boost: +0.05 when provider/model/domain keywords (e.g., OpenAI, Claude, Grok, Chutes, Qwen, LongCat, etc.) appear in both
+  Confidence thresholds:
+  - score ≥ 0.65 (after boosts) → linked (confident). Treat as changelog-referenced.
+  - 0.45 ≤ score &lt; 0.65 OR multiple candidates within 0.05 → ambiguous (needs review)
+  - score &lt; 0.45 → unlinked
+  Tie-breakers: higher score; if within 0.02 then same author; then closer merge date to release date; then lowest PR number
+  Edge case: If bullet credits exactly one username and exactly one PR in the window has that author, accept with score ≥ 0.50 (confidence="author-boost")
+  Implementation notes:
+  - Match only against PRs fetched for the version's date window
+  - Persist mapping bullet_text → { prNumber, confidenceScore, rationaleSignals[] } and use it to compute linked/ambiguous/unlinked counts
+</heuristics>
         </parsing>
       </step>
 
@@ -993,9 +1025,25 @@ fi
         <parsing>
           <regex>Detect PR references as: /#(\d{1,7})/g</regex>
           <heuristics>
-            - If a bullet has no explicit PR number, attempt fuzzy matching to PR titles
-            - If ambiguous, mark as "unlinked" and exclude by default pending user choice
-          </heuristics>
+  Purpose: Count changelog bullets without explicit PR numbers as "referenced" when they confidently map to a PR.
+  Matching algorithm:
+  - Normalize both bullet text and PR titles:
+    - lowercase; remove punctuation; strip prefixes like "fix:", "feat:", "add:", "improve:", "chore:", "refactor:"
+    - remove parentheticals such as "(thanks @user!)", "(PR by @user)", "(#1234 ...)"
+    - collapse whitespace
+  - Tokenize and compute token-overlap score = |intersection(tokens)| / |union(tokens)|
+  - Author signal: if bullet contains "thanks @user", "by @user", or "PR by @user" and that user equals the PR author or credited issue reporter, add +0.20 to score
+  - Keyword boost: +0.05 when provider/model/domain keywords (e.g., OpenAI, Claude, Grok, Chutes, Qwen, LongCat, etc.) appear in both
+  Confidence thresholds:
+  - score ≥ 0.65 (after boosts) → linked (confident). Treat as changelog-referenced.
+  - 0.45 ≤ score &lt; 0.65 OR multiple candidates within 0.05 → ambiguous (needs review)
+  - score &lt; 0.45 → unlinked
+  Tie-breakers: higher score; if within 0.02 then same author; then closer merge date to release date; then lowest PR number
+  Edge case: If bullet credits exactly one username and exactly one PR in the window has that author, accept with score ≥ 0.50 (confidence="author-boost")
+  Implementation notes:
+  - Match only against PRs fetched for the version's date window
+  - Persist mapping bullet_text → { prNumber, confidenceScore, rationaleSignals[] } and use it to compute linked/ambiguous/unlinked counts
+</heuristics>
         </parsing>
       </step>
 
@@ -1335,9 +1383,25 @@ fi
         <parsing>
           <regex>Detect PR references as: /#(\d{1,7})/g</regex>
           <heuristics>
-            - If a bullet has no explicit PR number, attempt fuzzy matching to PR titles
-            - If ambiguous, mark as "unlinked" and exclude by default pending user choice
-          </heuristics>
+  Purpose: Count changelog bullets without explicit PR numbers as "referenced" when they confidently map to a PR.
+  Matching algorithm:
+  - Normalize both bullet text and PR titles:
+    - lowercase; remove punctuation; strip prefixes like "fix:", "feat:", "add:", "improve:", "chore:", "refactor:"
+    - remove parentheticals such as "(thanks @user!)", "(PR by @user)", "(#1234 ...)"
+    - collapse whitespace
+  - Tokenize and compute token-overlap score = |intersection(tokens)| / |union(tokens)|
+  - Author signal: if bullet contains "thanks @user", "by @user", or "PR by @user" and that user equals the PR author or credited issue reporter, add +0.20 to score
+  - Keyword boost: +0.05 when provider/model/domain keywords (e.g., OpenAI, Claude, Grok, Chutes, Qwen, LongCat, etc.) appear in both
+  Confidence thresholds:
+  - score ≥ 0.65 (after boosts) → linked (confident). Treat as changelog-referenced.
+  - 0.45 ≤ score &lt; 0.65 OR multiple candidates within 0.05 → ambiguous (needs review)
+  - score &lt; 0.45 → unlinked
+  Tie-breakers: higher score; if within 0.02 then same author; then closer merge date to release date; then lowest PR number
+  Edge case: If bullet credits exactly one username and exactly one PR in the window has that author, accept with score ≥ 0.50 (confidence="author-boost")
+  Implementation notes:
+  - Match only against PRs fetched for the version's date window
+  - Persist mapping bullet_text → { prNumber, confidenceScore, rationaleSignals[] } and use it to compute linked/ambiguous/unlinked counts
+</heuristics>
         </parsing>
       </step>
 
@@ -1687,9 +1751,25 @@ fi
         <parsing>
           <regex>Detect PR references as: /#(\d{1,7})/g</regex>
           <heuristics>
-            - If a bullet has no explicit PR number, attempt fuzzy matching to PR titles
-            - If ambiguous, mark as "unlinked" and exclude by default pending user choice
-          </heuristics>
+  Purpose: Count changelog bullets without explicit PR numbers as "referenced" when they confidently map to a PR.
+  Matching algorithm:
+  - Normalize both bullet text and PR titles:
+    - lowercase; remove punctuation; strip prefixes like "fix:", "feat:", "add:", "improve:", "chore:", "refactor:"
+    - remove parentheticals such as "(thanks @user!)", "(PR by @user)", "(#1234 ...)"
+    - collapse whitespace
+  - Tokenize and compute token-overlap score = |intersection(tokens)| / |union(tokens)|
+  - Author signal: if bullet contains "thanks @user", "by @user", or "PR by @user" and that user equals the PR author or credited issue reporter, add +0.20 to score
+  - Keyword boost: +0.05 when provider/model/domain keywords (e.g., OpenAI, Claude, Grok, Chutes, Qwen, LongCat, etc.) appear in both
+  Confidence thresholds:
+  - score ≥ 0.65 (after boosts) → linked (confident). Treat as changelog-referenced.
+  - 0.45 ≤ score &lt; 0.65 OR multiple candidates within 0.05 → ambiguous (needs review)
+  - score &lt; 0.45 → unlinked
+  Tie-breakers: higher score; if within 0.02 then same author; then closer merge date to release date; then lowest PR number
+  Edge case: If bullet credits exactly one username and exactly one PR in the window has that author, accept with score ≥ 0.50 (confidence="author-boost")
+  Implementation notes:
+  - Match only against PRs fetched for the version's date window
+  - Persist mapping bullet_text → { prNumber, confidenceScore, rationaleSignals[] } and use it to compute linked/ambiguous/unlinked counts
+</heuristics>
         </parsing>
       </step>
 

docs/update-notes/index.md

@@ -19,6 +19,7 @@ image: /img/social-share.jpg
 
 ### Version 3.29
 
+*   [3.29.2](/update-notes/v3.29.2) (2025-10-27)
 *   [3.29.1](/update-notes/v3.29.1) (2025-10-27)
 *   [3.29.0](/update-notes/v3.29.0) (2025-10-24)
 

docs/update-notes/v3.29.2.mdx

@@ -0,0 +1,30 @@
+---
+description: Roo Code 3.29.2 adds higher-context Chutes AI models, improves settings text, and fixes provider caching and free-model pricing display.
+keywords:
+  - roo code 3.29.2
+  - chutes ai
+  - longcat
+  - provider update
+  - bug fixes
+  - free models
+  - pricing display
+image: /img/social-share.jpg
+---
+
+# Roo Code 3.29.2 Release Notes (2025-10-27)
+
+This patch adds higher-context Chutes AI models, cleans up settings text, and fixes provider caching and free‑model pricing display.
+
+
+## Provider Updates
+
+* Chutes AI: Add LongCat‑Flash‑Thinking‑FP8 models (200K, 128K) for longer coding sessions with faster, cost‑effective performance (thanks leakless21!) ([#8426](https://github.com/RooCodeInc/Roo-Code/pull/8426))
+
+## QOL Improvements
+
+* Settings descriptions: Remove specific "Claude 3.7 Sonnet" version across locales to keep guidance current (thanks rwydaegh!) ([#8437](https://github.com/RooCodeInc/Roo-Code/pull/8437))
+
+## Bug Fixes
+
+* Roo provider: Fix caching logic to emit correct usage data and apply proper protocol ([#8860](https://github.com/RooCodeInc/Roo-Code/pull/8860))
+* Free models: Hide pricing info and show zero cost to avoid confusion ([#8864](https://github.com/RooCodeInc/Roo-Code/pull/8864))

sidebars.ts

@@ -222,6 +222,7 @@ const sidebars: SidebarsConfig = {
           type: 'category',
           label: '3.29',
           items: [
+            { type: 'doc', id: 'update-notes/v3.29.2', label: '3.29.2' },
             { type: 'doc', id: 'update-notes/v3.29.1', label: '3.29.1' },
             { type: 'doc', id: 'update-notes/v3.29.0', label: '3.29.0' },
           ],