implemented graph.py, agents, guard; reduced image and video node to viewer node; renamed system prompts

embracing langgraph; addapted LLMFactory, Args.LLMInterface, IAgent, Toolbox and agents.py; simplified graph: removed math and encryption agents while promoting the reasoner

New approach: langgraph only

Trying something new - an agent builder...

adjusted prompts; bug fix: logger file handling encoding; improved logging

Added logger; Optimized query flow; Fixed DuckDuckGo tools; Tweaked system prompts.

good progress: finalized the llama index agents (except for the image and video handlers); finalized the toolbox; fixed bugs; designed great prompts.

Reduced duplicate code by adding 'itf_agent'

defining the Solver's agents (part 1)

added architecture diagram - red nodes are not yet implemented (TODOs)

added decent system prompts

built management agents with llama_index, recursive self call for task breakdown, fixed LLMFactory to create LLMs from different interfaces

setup project structure: getting ready to build my agents

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