Improve Ollama setup and model endpoint handling

.env.example

@@ -9,7 +9,12 @@
 LLM_HOST=localhost
 
 # Additional LLM hosts, comma-separated (for model discovery)
-# LLM_HOSTS=llm-host.local:8000,backup-llm.local:8001
+# Use hostnames/IPs only; Odysseus scans common serve ports, including Ollama's 11434.
+# LLM_HOSTS=llm-host.local,backup-llm.local
+
+# Optional Ollama base URL. In Docker, host Ollama is usually reachable here
+# when started with OLLAMA_HOST=0.0.0.0:11434.
+# OLLAMA_BASE_URL=http://host.docker.internal:11434/v1
 
 # OpenAI API key (only needed if using OpenAI models).
 # Do not commit real keys. Keep this commented until needed.
@@ -61,6 +66,16 @@ SEARXNG_INSTANCE=http://localhost:8080
 # CHROMADB_HOST=localhost
 # CHROMADB_PORT=8100
 
+# Docker Compose host-port bind addresses for bundled services.
+# Defaults are loopback-only for safety. To expose ntfy only on Tailscale,
+# set NTFY_BIND to your host's Tailscale IP and update NTFY_BASE_URL.
+# CHROMADB_BIND=127.0.0.1
+# NTFY_BIND=127.0.0.1
+# NTFY_BASE_URL=http://localhost:8091
+# Example:
+# NTFY_BIND=100.x.y.z
+# NTFY_BASE_URL=http://100.x.y.z:8091
+
 # ============================================================
 # RAG / Embeddings
 # ============================================================