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

tests/test_openclaw_tool_result_guard.py

@@ -1,43 +0,0 @@
-from __future__ import annotations
-
-from pathlib import Path
-
-from oclaw.openclaw_runtime.direct_loop import _OPENCLAW_TOOL_RESULT_HARD_CAP_CHARS, _build_model_context
-from oclaw.platform.llm.chat_models import RuleBasedChatModel
-from oclaw.platform.persistence.sqlite_store import SqliteStore
-
-
-def test_openclaw_tool_result_context_guard_truncates_large_tool_message(tmp_path: Path) -> None:
-    store = SqliteStore(str(tmp_path / "ops.sqlite"))
-    sess = store.create_session("t")
-    # Ensure the tool message is not a dangling orphan (some providers require pairing).
-    store.add_message(
-        session_id=sess.id,
-        role="assistant",
-        content="",
-        tool_calls=[{"id": "c1", "name": "echo", "arguments": {"x": 1}}],
-    )
-    huge = "X" * (_OPENCLAW_TOOL_RESULT_HARD_CAP_CHARS + 5000)
-    store.add_message(
-        session_id=sess.id,
-        role="tool",
-        content='{"ok": true, "blob": "' + huge + '"}',
-        tool_calls={"tool_call_id": "c1", "name": "echo", "assistant_message_id": 1},
-    )
-    msgs = _build_model_context(
-        store=store,
-        session_id=sess.id,
-        max_messages=50,
-        system_prompt="sys",
-        model=RuleBasedChatModel(),
-        lang="zh",
-        memory_context=None,
-        trace_id="t1",
-        parent_span_id=None,
-    )
-    tool_msgs = [m for m in msgs if m.get("role") == "tool"]
-    assert tool_msgs, msgs
-    guarded = str(tool_msgs[-1].get("content") or "")
-    assert len(guarded) <= _OPENCLAW_TOOL_RESULT_HARD_CAP_CHARS + 2000
-    assert "_tool_result_guarded" in guarded
-