fix(openclaw): remove gemini-2.5-flash from ocr and vision fallbacks

docs/adr/0002-openclaw-model-selection-tiering-and-economics.md

@@ -110,7 +110,7 @@ How do we architect the full-spectrum model selection across **all modalities**
 
 ### 4. Vision Input vs. Text-to-Image Generation (Tier 4)
 * **Crucial Distinction**:
-  - **Vision Input (`imageModel`)**: Reading photos sent to Telegram (e.g. food ingredients, plants, receipts). Handled by `google/gemini-3.8-flash` or `z-ai/glm-5.3-flash`, with `google/gemini-2.5-flash` as fallback.
+  - **Vision Input (`imageModel`)**: Reading photos sent to Telegram (e.g. food ingredients, plants, receipts). Handled by `google/gemini-3.8-flash`, with `z-ai/glm-5.3-flash` as fallback.
   - **Text-to-Image Synthesis (`mediaModels.image`)**: Creating new pictures upon user request (e.g. *"Zeichne mir ein Profilbild von Octobot"*). Chat LLMs return 404 here.
 * **Image Synthesis Engine**:
   - **Primary**: `openrouter/google/gemini-3.1-flash-image` (Nano Banana 2).

k8s/openclaw/TROUBLESHOOTING.md

@@ -532,7 +532,7 @@ This document captures fixed issues, operational quirks, and incident root-cause
   3. **Telegram Confirmation**: Dispatched the exact confirmation message with meal macros and updated daily totals directly to Telegram Topic 21 using `openclaw message send --channel telegram --target "-1004326921510" --thread-id 21`.
   4. **Configured Dedicated Multimodal Vision Models**: Corrected `agents.defaults.imageModel` in `k8s/openclaw/openclaw-instance.secret.yaml` and ADR 0002:
      - Primary: `openrouter/google/gemini-3.8-flash`
-     - Fallbacks: `openrouter/google/gemini-2.5-flash`, `openrouter/z-ai/glm-5.3-flash`.
+     - Fallbacks: `openrouter/z-ai/glm-5.3-flash`.
 - **How to Avoid Recurrence**:
   - Never configure diffusion or raster generation models (`*-image` without chat/text output) as `imageModel` for visual input understanding.
   - Employ dedicated multimodal frontier models (Gemini Flash) with proven OCR and label comprehension for vision tasks.