Integrate OpenCode CLI with ollama-cloud/gemma4:31b

bot.py

@@ -153,14 +153,14 @@ def parse_args() -> argparse.Namespace:
     )
     parser.add_argument(
         "--llm-engine",
-        choices=["ollama", "opencode", "apple", "macos", "claude"],
-        default="ollama",
-        help="LLM engine to use: ollama/opencode for Ollama/Cloud models, apple/macos for local MLX, claude for Claude Code.",
+        choices=["opencode", "ollama", "apple", "macos", "claude"],
+        default="opencode",
+        help="LLM engine to use: opencode/ollama for OpenCode Cloud models (gemma4:31b), apple/macos for local MLX, claude for Claude Code.",
     )
     parser.add_argument(
-        "--ollama-model",
-        default="gemma4:31b",
-        help="Ollama / OpenCode model name (default gemma4:31b).",
+        "--opencode-model",
+        default="ollama-cloud/gemma4:31b",
+        help="OpenCode Cloud model (default ollama-cloud/gemma4:31b).",
     )
     parser.add_argument(
         "--ollama-host",
@@ -497,18 +497,17 @@ def build_claude_options(args: argparse.Namespace, vocabulary=None, brain=None)
 
 
 def build_llm(args: argparse.Namespace, vocabulary=None, brain=None, observer=None):
-    if args.llm_engine in ("ollama", "opencode"):
-        from ollama_llm import OllamaLLM, probe_ollama, get_default_ollama_host
+    if args.llm_engine in ("opencode", "ollama"):
+        from opencode_llm import OpenCodeLLM, probe_opencode
 
-        host = args.ollama_host or get_default_ollama_host()
-        logger.info(f"LLM: Ollama / OpenCode ({args.ollama_model} @ {host})")
+        available, reason = probe_opencode(args.opencode_model)
+        logger.info(f"LLM: OpenCode Cloud ({reason})")
         personality = read_personality(args.cwd) or "You are a helpful voice assistant."
         system_prompt = personality + "\n\n" + VOICE_STYLE
         if brain and (memory := brain.prompt_block()):
             system_prompt += "\n\n" + memory
-        return OllamaLLM(
-            model=args.ollama_model,
-            host=host,
+        return OpenCodeLLM(
+            model=args.opencode_model,
             system_prompt=system_prompt,
             observer=observer,
         )