GT AI OS Community v2.0.33 - Add NVIDIA NIM and Nemotron agents

- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2
- Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2
  - Made more general-purpose (flexible targets, expanded tools)
- Added nemotron-mini-agent.csv for fast local inference via Ollama
- Added nemotron-agent.csv for advanced reasoning via Ollama
- Added wiki page: Projects for NVIDIA NIMs and Nemotron

scripts/migrations/017_fix_compound_pricing.sql

@@ -0,0 +1,31 @@
+-- Migration 017: Fix Compound model pricing with correct blended rates
+-- Source: https://groq.com/pricing (Dec 2025) + actual API response analysis
+--
+-- Compound uses GPT-OSS-120B ($0.15/$0.60) + Llama 4 Scout ($0.11/$0.34)
+-- Blended 50/50: ($0.15+$0.11)/2 = $0.13 input, ($0.60+$0.34)/2 = $0.47 output
+--
+-- Compound Mini uses GPT-OSS-120B ($0.15/$0.60) + Llama 3.3 70B ($0.59/$0.79)
+-- Blended 50/50: ($0.15+$0.59)/2 = $0.37 input, ($0.60+$0.79)/2 = $0.695 output
+
+-- Fix Compound pricing (was incorrectly set to $2.50/$6.00)
+UPDATE model_configs
+SET cost_per_million_input = 0.13,
+    cost_per_million_output = 0.47,
+    updated_at = NOW()
+WHERE provider = 'groq'
+  AND model_id LIKE '%compound%'
+  AND model_id NOT LIKE '%mini%';
+
+-- Fix Compound Mini pricing (was incorrectly set to $1.00/$2.50)
+UPDATE model_configs
+SET cost_per_million_input = 0.37,
+    cost_per_million_output = 0.695,
+    updated_at = NOW()
+WHERE provider = 'groq'
+  AND model_id LIKE '%compound-mini%';
+
+-- Report updated pricing
+SELECT model_id, name, cost_per_million_input as input_per_1m, cost_per_million_output as output_per_1m
+FROM model_configs
+WHERE provider = 'groq' AND model_id LIKE '%compound%'
+ORDER BY model_id;