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/chat_models.py

@@ -0,0 +1,69 @@
+from __future__ import annotations
+
+"""Compatibility re-export layer.
+
+The codebase imports `ChatModel/OpenAIChatModel/...` from this module.
+Implementations live under `src.platform.llm.transports.*`.
+"""
+
+import os
+
+from oclaw.platform.llm.tool_schema import shrink_openai_tools_payload_for_api
+from oclaw.platform.llm.tool_schema import openai_tools_json_byte_length as _openai_tools_json_byte_length
+from oclaw.platform.llm.transports.base import ChatModel, LLMResponse, LLMToolCall, normalize_image_b64_payload
+from oclaw.platform.llm.transports.google_gemini_sse import GoogleGeminiChatModel
+from oclaw.platform.llm.transports.openai_chat_completions import (
+    OpenAIChatModel,
+    _likely_gemini_openai_compat_base_url,
+    _model_id_suggests_gemini,
+)
+from oclaw.platform.llm.transports.simple import RuleBasedChatModel, StaticTextChatModel
+
+# Backward-compat alias used by `src/chat/agent.py`.
+_normalize_image_b64_payload = normalize_image_b64_payload
+
+
+def gemini_openai_compat_client(model: ChatModel) -> bool:
+    if not isinstance(model, OpenAIChatModel):
+        return False
+    return _likely_gemini_openai_compat_base_url(getattr(model, "base_url", None)) or _model_id_suggests_gemini(
+        getattr(model, "model", None)
+    )
+
+
+def build_default_model() -> ChatModel:
+    mode = (os.getenv("AIA_ASSISTANT_MODE") or "").strip().lower()
+    if mode == "rule":
+        return RuleBasedChatModel()
+    if mode == "ollama":
+        try:
+            from oclaw.agents.factory import DEFAULT_OLLAMA_BASE_URL, DEFAULT_OLLAMA_MODEL
+
+            return OpenAIChatModel(model=DEFAULT_OLLAMA_MODEL, api_key="ollama", base_url=DEFAULT_OLLAMA_BASE_URL)
+        except Exception:
+            return RuleBasedChatModel()
+    if mode == "openai" or mode == "":
+        try:
+            return OpenAIChatModel()
+        except Exception:
+            return RuleBasedChatModel()
+    # Provider selection is normally handled via LLM profiles in `src/agents/factory.py`.
+    return RuleBasedChatModel()
+
+
+__all__ = [
+    "ChatModel",
+    "LLMResponse",
+    "LLMToolCall",
+    "OpenAIChatModel",
+    "GoogleGeminiChatModel",
+    "RuleBasedChatModel",
+    "StaticTextChatModel",
+    "build_default_model",
+    "gemini_openai_compat_client",
+    "normalize_image_b64_payload",
+    "_normalize_image_b64_payload",
+    "shrink_openai_tools_payload_for_api",
+    "_openai_tools_json_byte_length",
+]
+