Add OpenCode / Ollama LLM integration with gemma4:31b default

bot.py

@@ -153,14 +153,23 @@ def parse_args() -> argparse.Namespace:
     )
     parser.add_argument(
         "--llm-engine",
-        choices=["apple", "macos", "claude"],
-        default="apple",
-        help="LLM engine to use: apple/macos for native on-device macOS LLM, claude for Claude Code.",
+        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.",
+    )
+    parser.add_argument(
+        "--ollama-model",
+        default="gemma4:31b",
+        help="Ollama / OpenCode model name (default gemma4:31b).",
+    )
+    parser.add_argument(
+        "--ollama-host",
+        help="Ollama API host URL (defaults to OLLAMA_HOST or http://localhost:11434).",
     )
     parser.add_argument(
         "--mlx-model",
         default="mlx-community/Qwen2.5-7B-Instruct-4bit",
-        help="MLX model repo or path for local macOS execution (e.g. mlx-community/Qwen2.5-7B-Instruct-4bit).",
+        help="MLX model repo or path for local macOS execution.",
     )
     parser.add_argument(
         "--claude-model",
@@ -488,6 +497,22 @@ 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
+
+        host = args.ollama_host or get_default_ollama_host()
+        logger.info(f"LLM: Ollama / OpenCode ({args.ollama_model} @ {host})")
+        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,
+            system_prompt=system_prompt,
+            observer=observer,
+        )
+
     if args.llm_engine in ("apple", "macos"):
         from apple_llm import MacOSLLM, probe_apple_llm