chore(workflow): add procedural memory module init file

reme/workflow/procedural_memory/__init__.py

@@ -0,0 +1,46 @@
+# summary retriever vector store 的 op
+
+# 1. BaseAsyncOp -> reme.core.op.BaseOp
+# 2. @C.register_op() -> R.op.register()(MergeMemoryOp)
+# for name in __all__:
+#     tool_class = globals()[name]
+#     R.op.register()(tool_class)
+# 3. class name 不一定叫 op
+# 4. async def async_execute(self): —》async def execute(self):
+# 5. self.llm.chat
+# 6.     file_path: str = __file__ 不需要
+# 7. self.op_params.get("enable_llm_rerank", True) 都改成 self.context.get("enable_llm_rerank", True)
+#
+#
+# # 跑起来 reme = "reme_ai.main:main" -> reme = "reme.reme_app:main"
+#
+# app = ReMeApp()
+#
+#
+# def test_search():
+#     """Test search tool operations.
+#
+#     Tests DashscopeSearch, MockSearch, and TavilySearch operations
+#     with a sample query to verify they work correctly.
+#     """
+#     from reme.tool.search import DashscopeSearch, MockSearch, TavilySearch
+#
+#     query = "今天杭州的天气如何？"
+#
+#     for op in [
+#         DashscopeSearch(),
+#         MockSearch(),
+#         TavilySearch(),
+#     ]:
+#         print("\n" + "=" * 60)
+#         print(f"Testing {op.__class__.__name__}")
+#         print("=" * 60)
+#         print(f"Query: {query}")
+#         output = asyncio.run(op.call(query=query, service_context=app.service_context))
+#
+# self.context.query
+# app.service_context 保证了 self.llm emb vectorstore
+
+# examples
+# bench 里的llm ，辛苦改成 app = ReMeApp() app.default_llm
+# clear && pre-commit run --all-files