初始化：独立 oclaw 仓库首提交

- 在 oclaw/ 下重新初始化 Git 仓库
- 补齐子仓库 .gitignore，避免提交本地运行态数据（_local、node_modules、logs 等）
- 提交当前工程代码与配置

Made-with: Cursor

platform/llm/transports/base.py

@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+import base64
+import json
+from dataclasses import dataclass
+from typing import Any, Optional
+from collections.abc import Callable
+
+
+@dataclass(frozen=True)
+class LLMToolCall:
+    id: str
+    name: str
+    arguments: dict[str, Any]
+    # Gemini OpenAI-compat and native transports may require preserving a signature across tool loops.
+    thought_signature: str | None = None
+
+
+@dataclass(frozen=True)
+class LLMResponse:
+    content: str
+    tool_calls: list[LLMToolCall]
+    reasoning_content: str = ""
+
+
+class ChatModel:
+    def chat(
+        self,
+        messages: list[dict[str, Any]],
+        tools: list[dict[str, Any]],
+        *,
+        on_token: Optional[Callable[[str], None]] = None,
+    ) -> LLMResponse:
+        raise NotImplementedError
+
+
+def coerce_thought_signature_for_storage(v: Any) -> str | None:
+    if v is None:
+        return None
+    if isinstance(v, str):
+        return v
+    if isinstance(v, (bytes, bytearray)):
+        try:
+            return bytes(v).decode("utf-8")
+        except UnicodeDecodeError:
+            return base64.b64encode(bytes(v)).decode("ascii")
+    if isinstance(v, (dict, list)):
+        return json.dumps(v, separators=(",", ":"), ensure_ascii=False)
+    return str(v)
+
+
+def normalize_image_b64_payload(raw: Any) -> str:
+    if raw is None:
+        return ""
+    if isinstance(raw, (bytes, bytearray)):
+        return base64.b64encode(bytes(raw)).decode("ascii")
+    s = str(raw).strip()
+    if not s:
+        return ""
+    if s.startswith("data:") and ";base64," in s:
+        s = s.split(";base64,", 1)[-1].strip()
+    return "".join(s.split())
+