minor tweak to switch LLM provider from Ollama to Gemini

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

Fix LLM configuration and OMIRL comune filtering

feat: Add livelli_idrometrici task with unified adapter-level caching

Fix task output and test infrastructure

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

fix: resolve service validation and timeout issues in agent workflow

LLM router and summarization currently working. Fixed agent initialization issues and basic llm-based summarization service

Fix missing get_llm_config import and add comprehensive debugging

Add comprehensive environment debugging for HF Spaces

Fix: Implement lazy agent initialization and improve environment loading

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

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.

Initial commit with docker image ready for Hugging Face Spaces deployment