Fix GTM Architect: Robust prompt syntax, Gemini API migration, Docker logging

GEMINI.md

@@ -51,3 +51,17 @@ The application will be available at `http://localhost:8080`.
 *   **API:** The Flask application in `app.py` provides an API to interact with the system.
 *   **Logging:** The project uses the `logging` module to log information and errors.
 *   **Error Handling:** The `readme.md` indicates a critical error related to the `openai` library. The next step is to downgrade the library to a compatible version.
+
+## Current Status (Jan 2026) - GTM Architect & Core Updates
+
+*   **GTM Architect Fixed & Stabilized:** The "GTM Architect" service is now fully operational.
+    *   **Prompt Engineering:** Switched from fragile f-strings to robust `"\n".join([...])` list construction for all system prompts. This eliminates syntax errors caused by mixed quotes and multi-line strings in Python.
+    *   **AI Backend:** Migrated to `google.generativeai` via `helpers.call_gemini_flash` with JSON mode support.
+    *   **Scraping:** Implemented robust URL scraping using `requests` and `BeautifulSoup` (with `html.parser` to avoid dependency issues).
+    *   **Docker:** Container (`gtm-app`) updated with correct volume mounts for logs and config.
+*   **Gemini Migration:** The codebase is moving towards `google-generativeai` as the primary driver. `helpers.py` now supports this natively.
+*   **Deployment:** To apply these fixes, a rebuild of the `gtm-app` container is required.
+
+## Next Steps
+*   **Monitor Logs:** Check `Log_from_docker/` for detailed execution traces of the GTM Architect.
+*   **Feedback Loop:** Verify the quality of the generated GTM strategies and adjust prompts in `gtm_architect_orchestrator.py` if necessary.