Refactor LLM configuration to remove llamacpp support

- Removed references to llamacpp from configuration files, scripts, and documentation, streamlining the LLM setup process to focus solely on Ollama.
- Updated environment variables and paths to eliminate llamacpp-related entries, ensuring clarity in the configuration.
- Adjusted CLI commands and help messages to reflect the removal of llamacpp, enhancing user experience and reducing confusion.
- Revised documentation to provide clear guidance on using Ollama exclusively, including updates to setup instructions and runtime options.

tests/test_tunnel_watch.py

@@ -32,7 +32,6 @@ def test_tunnel_forwards_swarm_only(monkeypatch):
         swarmui_local_port = 17801
         llm_runtime = "none"
         ollama_local_port = 17811
-        llamacpp_local_port = 17812
 
     monkeypatch.setattr("gpu_rent.tunnel.load_state", lambda: type("S", (), {"notes": {}})())
     assert tunnel_forwards(Cfg()) == [(17801, 7801)]
@@ -43,7 +42,6 @@ def test_tunnel_forwards_prefers_cfg_over_stale_notes(monkeypatch):
         swarmui_local_port = 17801
         llm_runtime = "none"
         ollama_local_port = 17811
-        llamacpp_local_port = 17812
 
     monkeypatch.setattr(
         "gpu_rent.tunnel.load_state",
@@ -65,10 +63,10 @@ def test_resolve_llm_notes_only_when_cfg_none(monkeypatch):
     assert resolve_llm_runtime(Cfg()) == "ollama"
 
     class Cfg2:
-        llm_runtime = "llamacpp"
+        llm_runtime = "ollama"
 
     monkeypatch.setattr(
         "gpu_rent.access_card.load_state",
-        lambda: type("S", (), {"notes": {"llm_runtime": "ollama"}})(),
+        lambda: type("S", (), {"notes": {"llm_runtime": "none"}})(),
     )
-    assert resolve_llm_runtime(Cfg2()) == "llamacpp"
+    assert resolve_llm_runtime(Cfg2()) == "ollama"