Update configuration and documentation for LLM support and local watchdog

- Added `ollama-models.yaml` to .gitignore and implemented logic to copy it in gpu-rent.ps1 and gpu-rent.sh.
- Enhanced env.example to include new variables for LLM runtime options and local watchdog configuration.
- Updated CLI commands to support LLM options during setup and execution, including new flags for Ollama and llama.cpp.
- Improved documentation in cli.md and README.md to reflect changes in LLM integration and local watchdog functionality.
- Adjusted architecture and decisions documentation to clarify the role of LLMs and local watchdog in the system.

tests/test_llm_runtime.py

@@ -0,0 +1,59 @@
+from pathlib import Path
+
+import pytest
+
+from gpu_rent.llm_runtime import (
+    decide_runtime,
+    normalize_runtime,
+    parse_ollama_models,
+    write_ollama_models_preset,
+)
+
+
+def test_normalize_runtime():
+    assert normalize_runtime(None) == "none"
+    assert normalize_runtime("OLLAMA") == "ollama"
+    assert normalize_runtime("llama-cpp") == "llamacpp"
+    with pytest.raises(ValueError):
+        normalize_runtime("foo")
+
+
+def test_decide_runtime_flags_win():
+    assert (
+        decide_runtime(flag=None, ollama_flag=True, llamacpp_flag=False, from_config="none")
+        == "ollama"
+    )
+    assert (
+        decide_runtime(flag="llamacpp", ollama_flag=False, llamacpp_flag=False, from_config="ollama")
+        == "llamacpp"
+    )
+    with pytest.raises(ValueError):
+        decide_runtime(flag=None, ollama_flag=True, llamacpp_flag=True, from_config="none")
+
+
+def test_parse_ollama_models(tmp_path: Path):
+    path = tmp_path / "m.yaml"
+    path.write_text(
+        "models:\n  - name: huihui_ai/qwen2.5-abliterate:7b\n    default: true\n  - qwen2.5:3b\n",
+        encoding="utf-8",
+    )
+    entries = parse_ollama_models(path)
+    assert [e.name for e in entries] == [
+        "huihui_ai/qwen2.5-abliterate:7b",
+        "qwen2.5:3b",
+    ]
+    assert entries[0].default is True
+
+
+def test_parse_empty_manifest(tmp_path: Path):
+    path = tmp_path / "empty.yaml"
+    path.write_text("models: []\n", encoding="utf-8")
+    assert parse_ollama_models(path) == []
+    assert parse_ollama_models(tmp_path / "missing.yaml") == []
+
+
+def test_write_preset(tmp_path: Path):
+    path = tmp_path / "out.yaml"
+    write_ollama_models_preset(path, "recommended")
+    entries = parse_ollama_models(path)
+    assert entries[0].name == "huihui_ai/qwen2.5-abliterate:7b"