Enhance LLM and SwarmUI integration with improved configuration options

- Updated `env.example` and `gpu-rent.vars.example` to include new variables for LLM runtime and SwarmUI options.
- Refactored CLI commands to support interactive selection of LLM runtime and workload type (SwarmUI, LLM, or both).
- Improved access link generation to handle cases where SwarmUI is disabled, providing clearer user feedback.
- Enhanced provisioning logic to conditionally bootstrap SwarmUI based on user configuration, allowing for LLM-only setups.
- Updated documentation across multiple files to reflect changes in LLM integration, CLI usage, and configuration management.

src/gpu_rent/llm_runtime.py

@@ -71,6 +71,12 @@ LLM_RUNTIME_LABELS: dict[str, str] = {
     "llamacpp": "llama.cpp server (+ GGUF)",
 }
 
+WORKLOAD_LABELS: dict[str, str] = {
+    "swarm": "только SwarmUI",
+    "both": "SwarmUI + LLM",
+    "llm": "только LLM (без SwarmUI)",
+}
+
 
 def llm_runtime_menu() -> list:
     from gpu_rent.prompts import MenuItem
@@ -78,6 +84,12 @@ def llm_runtime_menu() -> list:
     return [MenuItem(k, f"{k} — {LLM_RUNTIME_LABELS[k]}") for k in ("none", "ollama", "llamacpp")]
 
 
+def workload_menu() -> list:
+    from gpu_rent.prompts import MenuItem
+
+    return [MenuItem(k, WORKLOAD_LABELS[k]) for k in ("swarm", "both", "llm")]
+
+
 def ollama_preset_menu(*, include_keep: bool = False) -> list:
     from gpu_rent.prompts import MenuItem