Initial implementation of IRC LLM bot

Full implementation from spec: ZNC/IRC client with TLS, Ollama LLM backend,
per-user SQLite conversation memory, and Flask web admin portal with 7 pages.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

config/config.json

@@ -0,0 +1,21 @@
+{
+  "channels": ["#general", "#support"],
+  "trigger_on_nick": true,
+  "trigger_prefix": null,
+  "ignored_nicks": ["ChanServ", "NickServ"],
+  "bot_nick": "avcbot",
+  "system_prompt": "You are a helpful IRC assistant for Active Blue. Keep responses concise and under 3 sentences when possible.",
+  "max_response_length": 400,
+  "ollama_host": "192.168.2.10",
+  "ollama_port": 11434,
+  "ollama_model": "llama3.1",
+  "ollama_temperature": 0.7,
+  "ollama_num_predict": 120,
+  "ollama_num_ctx": 2048,
+  "response_timeout_seconds": 30,
+  "context_window": 5,
+  "memory_enabled": true,
+  "memory_history_limit": 8,
+  "memory_max_age_days": 90,
+  "log_level": "INFO"
+}