docs(openclaw): add issue 23 troubleshooting for koch agent tool stall & update knowledge-wiki

k8s/openclaw/TROUBLESHOOTING.md

@@ -743,3 +743,30 @@ This document captures fixed issues, operational quirks, and incident root-cause
   - Always provide exact argument property names in direct tool fastpaths so LLMs do not guess invalid keys like `path` instead of `lookup`.
   - Mandate strict turn isolation in agent system prompts to prevent stalled turns from bleeding into new user prompts during context spikes.
   - Rely on Tier A daily resets (04:45 CET) for logging/stateful agents whose canonical history is fully externalized in DuckDB, JSONL, and Git.
+
+### Issue 23: Empty Completion Whitespace Stall & Repeated Turn Bleed on Koch Agent (Topic 21)
+
+- **Date**: 2026-10-10
+- **Severity**: High (User prompt asking for nutrition plan and 2-week intake vs. expenditure was answered with duplicate Dörrfleisch marinade recipe; earlier Skyr intake voice note was skipped; missing Garmin sync dependencies)
+- **Symptom**:
+  Moritz sent a text message in Topic 21: _"Gib mir die aktuelle Ausgabe meines Ernährungsplans und erstelle eine 'Kalorien intakde' vs 'Kalorienverrauch' der letzten 2 Wochen."_
+  Instead of querying Datastore DuckDB, the Koch Agent replied for the third time with tips on beef jerky kiwi-teriyaki marinade (_"Meine Empfehlung für deine Kiwi-Teriyaki-Marinade (800 g Dörrfleisch)..."_). Earlier at 12:14, Moritz's voice note logging Skyr Natur (300g), Erdbeerjoghurt (125g), and Knuspermüsli (44g) was never recorded.
+- **Root Cause Isolated via New One-Shot Triage Workflow**:
+  1. Running `openclaw-triage.py --topic 21` instantly revealed the sequence of events (SEQ 13, 18, 20, 22):
+     `z-ai/glm-5.3-flash` emitted reasoning (`THINKING: Two tasks: 1) current nutrition summary... Query datastore... Use bash`) along with an empty single-space string (`TEXT: " "`) and **0 tool calls**.
+  2. Because the model emitted whitespace instead of invoking `exec`, OpenClaw triggered an internal retry: _"the runtime says the previous turn recorded reasoning but no visible answer"_.
+  3. On retry, the model failed to understand why it was re-prompted without new user input. Seeing the previous Dörrfleisch recipe in conversational context, it concluded that the previous turn had failed to render and repeated the Dörrfleisch text.
+  4. In addition, `garmin_sync.py` failed to mirror daily expenditure stats for the last 14 days (`No module named 'garminconnect'`) because it was missing a PEP 723 dependency declaration.
+- **Resolution**:
+  1. **Delivered Correct Nutrition Summary & 14-Day Balance**:
+     - Logged missing Skyr bowl (300g Skyr, 125g Erdbeerjoghurt, 44g Knuspermüsli $\rightarrow$ ~502 kcal, 40.7g Protein) into datastore via `datastore.py add`.
+     - Added PEP 723 `# /// script dependencies = ["garminconnect>=0.2.14", "pytz>=2024.1"] ///` to `mop-skills/skills/datastore/scripts/garmin_sync.py` and synced all 14 days of Garmin metrics.
+     - Delivered complete, formatted 14-day balance and today's nutrition status directly to Topic 21 (Message ID 2532).
+  2. **Hardened `knowledge-wiki/agents/koch.md`**:
+     - Explicitly mandated CLI execution via `exec(command="uv run ...")`.
+     - Added runtime retry protection forbidding repetition of earlier completed topics.
+  3. **Reset Topic 21 Session**:
+     - Reset session `feeb6826` to 0 tokens via `openclaw sessions delete`.
+- **How to Avoid Recurrence**:
+  - Always declare PEP 723 script metadata on all Python utilities invoked via `uv run`.
+  - Provide explicit tool invocations (`exec(command=...)`) in agent prompts so reasoning models never stall in thinking-only loops.