重构仓库目录为统一的 runtime 分层并清理历史 openclaw 残留。

本次迁移将网关/通道/工具/技能/脚本与协议资源集中到新结构，统一路径常量与脚本转发机制，减少顶层噪音并保证运行与测试行为一致。

Made-with: Cursor

platform/llm/transports/google_gemini_sse.py

@@ -10,7 +10,7 @@ from oclaw.platform.llm.transports.base import ChatModel, LLMResponse, LLMToolCa
 
 
 class GoogleGeminiChatModel(ChatModel):
-    """Native Google Gemini streaming transport (SSE), modeled after OpenClaw's google transport."""
+    """Native Google Gemini streaming transport (SSE), modeled after Oclaw's google transport."""
 
     def __init__(self, *, model: str, api_key: str, base_url: str | None = None):
         self.model = (model or "").strip() or "gemini-2.5-pro"
@@ -34,7 +34,7 @@ class GoogleGeminiChatModel(ChatModel):
                 {
                     "name": name,
                     "description": str(fn.get("description") or ""),
-                    # OpenClaw uses `parametersJsonSchema`
+                    # Oclaw uses `parametersJsonSchema`
                     "parametersJsonSchema": fn.get("parameters") if isinstance(fn.get("parameters"), dict) else {"type": "object"},
                 }
             )
@@ -122,7 +122,7 @@ class GoogleGeminiChatModel(ChatModel):
         model_path = self.model
         if not model_path.startswith("models/") and not model_path.startswith("tunedModels/"):
             model_path = f"models/{model_path}"
-        # Prefer header auth (OpenClaw-style); avoid forcing key into query string.
+        # Prefer header auth (Oclaw-style); avoid forcing key into query string.
         return f"{base}/{model_path}:streamGenerateContent?alt=sse"
 
     @staticmethod

platform/llm/transports/openai_chat_completions.py

@@ -153,7 +153,7 @@ class OpenAIChatModel(ChatModel):
             try:
                 from oclaw.platform.config.paths import db_path
                 from oclaw.platform.persistence.sqlite_store import SqliteStore
-                from oclaw.tools.exposure_plan import build_llm_tools_plan
+                from oclaw.runtime.tools.exposure_plan import build_llm_tools_plan
 
                 plan = build_llm_tools_plan(
                     store=SqliteStore(db_path()),