diff --git a/template_langgraph/services/streamlits/pages/generic_agent_runner.py b/template_langgraph/services/streamlits/pages/generic_agent_runner.py
new file mode 100644
index 0000000..2d4b98e
--- /dev/null
+++ b/template_langgraph/services/streamlits/pages/generic_agent_runner.py
@@ -0,0 +1,131 @@
+import streamlit as st
+from langchain_community.callbacks.streamlit import (
+    StreamlitCallbackHandler,
+)
+from langgraph.graph.state import CompiledStateGraph
+
+from template_langgraph.agents.demo_agents.parallel_rag_agent.agent import ParallelRagAgent
+from template_langgraph.agents.demo_agents.weather_agent import graph as weather_agent_graph
+from template_langgraph.llms.azure_openais import AzureOpenAiWrapper
+from template_langgraph.tools.common import get_default_tools
+
+
+# 追加: 各エージェントのグラフ生成ファクトリと tool call 対応フラグ
+def _make_parallel_rag_graph(tools):
+    graph = ParallelRagAgent(
+        llm=AzureOpenAiWrapper().chat_model,
+        tools=tools,
+    ).create_graph()
+
+    # 追加: このエージェント用の入力ビルダー
+    def build_input(prompt, callbacks):
+        return {"query": prompt, "callbacks": callbacks}
+
+    return {"graph": graph, "build_input": build_input}
+
+
+def _make_weather_graph(_tools=None):
+    # weather_agent_graph が CompiledStateGraph を指している前提
+    graph = weather_agent_graph
+
+    # 追加: このエージェント用の入力ビルダー（必要に応じてキー名を調整）
+    def build_input(prompt, callbacks):
+        return {
+            "messages": [
+                prompt,
+            ],
+            "callbacks": callbacks,
+        }
+
+    return {"graph": graph, "build_input": build_input}
+
+
+agent_options = {
+    "Parallel RAG Agent": {
+        "supports_tools": True,
+        "factory": _make_parallel_rag_graph,
+    },
+    "Weather Agent": {
+        "supports_tools": False,
+        "factory": _make_weather_graph,
+    },
+    # "Another Agent": {"supports_tools": True/False, "factory": your_factory},
+}
+
+
+def create_graph() -> CompiledStateGraph:
+    # ...existing code...
+    cfg = agent_options.get(selected_agent_key) or next(iter(agent_options.values()))
+    supports_tools = cfg.get("supports_tools", True)
+    factory = cfg["factory"]
+    result = factory(selected_tools if supports_tools else None)
+    # 追加: 入力ビルダーを保存（無ければデフォルトにフォールバック）
+    st.session_state["input_builder"] = result.get("build_input") or (lambda p, cbs: {"query": p, "callbacks": cbs})
+    return result["graph"]
+    # ...existing code...
+
+
+# Sidebar: ツール選択とエージェントの構築
+with st.sidebar:
+    # 追加: エージェント選択 UI
+    st.subheader("使用するエージェント")
+    available_agent_keys = list(agent_options.keys())
+    if "selected_agent_key" not in st.session_state:
+        st.session_state["selected_agent_key"] = available_agent_keys[0]
+    selected_agent_key = st.selectbox(
+        "実行するエージェントを選択",
+        options=available_agent_keys,
+        index=available_agent_keys.index(st.session_state["selected_agent_key"]),
+    )
+    st.session_state["selected_agent_key"] = selected_agent_key
+
+    # エージェントの tool call 対応フラグを取得
+    supports_tools = agent_options[selected_agent_key].get("supports_tools", True)
+
+    # ツール選択 UI（supports_tools が True の時のみ表示）
+    if supports_tools:
+        st.subheader("使用するツール")
+        # 利用可能なツール一覧を取得
+        available_tools = get_default_tools()
+        tool_name_to_obj = {t.name: t for t in available_tools}
+        tool_names = list(tool_name_to_obj.keys())
+
+        # 初期選択は全選択
+        if "selected_tool_names" not in st.session_state:
+            st.session_state["selected_tool_names"] = tool_names
+
+        selected_tool_names = st.multiselect(
+            "有効化するツールを選択",
+            options=tool_names,
+            default=st.session_state["selected_tool_names"],
+        )
+        st.session_state["selected_tool_names"] = selected_tool_names
+        selected_tools = [tool_name_to_obj[name] for name in selected_tool_names]
+        signature = (selected_agent_key, tuple(selected_tool_names))
+    else:
+        # 非対応時はツール選択をスキップ
+        selected_tool_names = []
+        selected_tools = []
+        signature = (selected_agent_key,)
+
+    # 選択に応じてグラフを再構築
+    if "graph" not in st.session_state or st.session_state.get("graph_signature") != signature:
+        st.session_state["graph"] = create_graph()
+        st.session_state["graph_signature"] = signature
+
+    # 選択中の表示
+    st.caption(f"選択中のエージェント: {selected_agent_key}")
+    if supports_tools:
+        st.caption("選択中のツール: " + (", ".join(selected_tool_names) if selected_tool_names else "なし"))
+    else:
+        st.caption("このエージェントはツール呼び出しをサポートしていません")
+
+if prompt := st.chat_input():
+    st.chat_message("user").write(prompt)
+    with st.chat_message("assistant"):
+        with st.spinner("処理中..."):
+            # 変更: エージェントごとの入力ビルダーを使用
+            callbacks = [StreamlitCallbackHandler(st.container())]
+            input_builder = st.session_state.get("input_builder") or (lambda p, cbs: {"query": p, "callbacks": cbs})
+            response = st.session_state["graph"].invoke(input=input_builder(prompt, callbacks))
+        st.write(response)