Configured Ollaman and improved llm config functionality: now the default is ollama, the fallback is gemini 2.5 flash lite, and these can be changed modifying just on line in the yaml config file

fixed caching

refactor: Complete OMIRL architecture cleanup and modernization

Fix LLM configuration and OMIRL comune filtering

feat: Add livelli_idrometrici task with unified adapter-level caching

Fix task output and test infrastructure

feat: Complete OMIRL configuration refactoring - eliminate hardcoded values

feat: remove mode parameter from OMIRL tool - implement direct task-based routing

feat: Complete agent architecture refactoring and testing framework

🎯 Complete OMIRL web services refactoring with workflow enhancement

Phase 4: Implement LLM-based summarization node

🧹 Major cleanup: Remove obsolete code, modernize task-agnostic architecture

feat: Complete OMIRL Phase 1 refactor - YAML-based validation architecture

refactor: Update OMIRL specification with new lean input/output schema

fix: resolve service validation and timeout issues in agent workflow

Comprehensive update: LLM Router implementation and Docker fixes

Updated the adapter and the agent workflow (node, state, registry etc.). Updated web app, currently supporting omirl scraping

hard coded the 12 sensor types that were wrong in the table scraper and fixed test that were getting stuck because there was no browser session clean up

Set up of the project structure: langgraph and tool based agent. Implemented first tool and task: omirl_snapshot_summary adapter can scrape data from sensorstable omirl. Next step: add tool to agentic framework and deploy to hugging face. Next step: scrape data based on sensor filter.