feat(phase-04): Wyoming Satellite integration + OpenClaw HA components

## Voice Pipeline (P3)
- Replace openWakeWord daemon with Wyoming Satellite approach
- Add Wyoming Satellite service on port 10700 for HA voice pipeline
- Update setup.sh with cross-platform sed compatibility (macOS/Linux)
- Add version field to Kokoro TTS voice info
- Update launchd service loader to use Wyoming Satellite

## Home Assistant Integration (P4)
- Add custom conversation agent component (openclaw_conversation)
  - Fix: Use IntentResponse instead of plain strings (HA API requirement)
  - Support both HTTP API and CLI fallback modes
  - Config flow for easy HA UI setup
- Add OpenClaw bridge scripts (Python + Bash)
- Add ha-ctl utility for HA entity control
  - Fix: Use context manager for token file reading
- Add HA configuration examples and documentation

## Infrastructure
- Add mem0 backup automation (launchd + script)
- Add n8n workflow templates (morning briefing, notification router)
- Add VS Code workspace configuration
- Reorganize model files into categorized folders:
  - lmstudio-community/
  - mlx-community/
  - bartowski/
  - mradermacher/

## Documentation
- Update PROJECT_PLAN.md with Wyoming Satellite architecture
- Update TODO.md with completed Wyoming integration tasks
- Add OPENCLAW_INTEGRATION.md for HA setup guide

## Testing
- Verified Wyoming services running (STT:10300, TTS:10301, Satellite:10700)
- Verified OpenClaw CLI accessibility
- Confirmed cross-platform compatibility fixes

homeai-llm/modelfiles/mlx-community/DeepSeek-Coder-V2-Lite-Instruct-4bit-mlx/config.json

@@ -0,0 +1,63 @@
+{
+    "architectures": [
+        "DeepseekV2ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "auto_map": {
+        "AutoConfig": "configuration_deepseek.DeepseekV2Config",
+        "AutoModel": "modeling_deepseek.DeepseekV2Model",
+        "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
+    },
+    "aux_loss_alpha": 0.001,
+    "bos_token_id": 100000,
+    "eos_token_id": 100001,
+    "first_k_dense_replace": 1,
+    "hidden_act": "silu",
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 10944,
+    "kv_lora_rank": 512,
+    "max_position_embeddings": 163840,
+    "model_type": "deepseek_v2",
+    "moe_intermediate_size": 1408,
+    "moe_layer_freq": 1,
+    "n_group": 1,
+    "n_routed_experts": 64,
+    "n_shared_experts": 2,
+    "norm_topk_prob": false,
+    "num_attention_heads": 16,
+    "num_experts_per_tok": 6,
+    "num_hidden_layers": 27,
+    "num_key_value_heads": 16,
+    "pretraining_tp": 1,
+    "q_lora_rank": null,
+    "qk_nope_head_dim": 128,
+    "qk_rope_head_dim": 64,
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "rms_norm_eps": 1e-06,
+    "rope_scaling": {
+        "beta_fast": 32,
+        "beta_slow": 1,
+        "factor": 40,
+        "mscale": 0.707,
+        "mscale_all_dim": 0.707,
+        "original_max_position_embeddings": 4096,
+        "type": "yarn"
+    },
+    "rope_theta": 10000,
+    "routed_scaling_factor": 1.0,
+    "scoring_func": "softmax",
+    "seq_aux": true,
+    "tie_word_embeddings": false,
+    "topk_group": 1,
+    "topk_method": "greedy",
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.39.3",
+    "use_cache": true,
+    "v_head_dim": 128,
+    "vocab_size": 102400
+}