doc(langchain-sdk): Improve doc and tests for LangChain SDK. (#154)

sdks/langchain/README.md

@@ -195,7 +195,9 @@ access tokens for [Google OAuth
 
 ### Configuring Tools for Authentication
 
-Refer to [these instructions](https://github.com/googleapis/genai-toolbox/blob/main/docs/tools/README.md#authenticated-parameters) on configuring tools for authenticated parameters.
+Refer to [these
+instructions](../../docs/tools/README.md#authenticated-parameters) on
+configuring tools for authenticated parameters.
 
 ### Configure SDK for Authentication
 
@@ -230,11 +232,9 @@ toolbox.add_auth_header("my_auth_service", get_auth_header)
 ```
 
 > [!NOTE]
-> After adding authentication headers, either through `load_tool`,
-> `load_toolset`, or `add_auth_header`, all subsequent tool invocations from
-> that point onward will use these authentications, regardless of whether the
-> tool was loaded before or after calling these methods. This maintains a
-> consistent authentication context.
+> Authentication headers added via `load_tool`, `load_toolset`, or
+> `add_auth_header` apply to all subsequent tool invocations, regardless of when
+> the tool was loaded. This ensures a consistent authentication context.
 
 ### Complete Example
 

sdks/langchain/src/toolbox_langchain_sdk/utils.py

@@ -106,11 +106,11 @@ def _get_auth_headers(id_token_getters: dict[str, Callable[[], str]]) -> dict[st
     headers to be included in tool invocation.
 
     Args:
-          id_token_getters: A dict that maps auth source names to the functions
-              that return its ID token.
+        id_token_getters: A dict that maps auth source names to the functions
+        that return its ID token.
 
     Returns:
-      A dictionary of headers to be included in the tool invocation.
+        A dictionary of headers to be included in the tool invocation.
     """
     auth_headers = {}
     for auth_source, get_id_token in id_token_getters.items():

sdks/langchain/tests/test_client.py

@@ -135,7 +135,17 @@ async def test_generate_tool_success():
     assert isinstance(tool, StructuredTool)
     assert tool.name == "test_tool"
     assert tool.description == "This is test tool."
-    assert tool.args_schema is not None  # Check if args_schema is generated
+    assert tool.args is not None
+
+    assert "param1" in tool.args
+    assert tool.args["param1"]["title"] == "Param1"
+    assert tool.args["param1"]["description"] == "Parameter 1"
+    assert tool.args["param1"]["anyOf"] == [{"type": "string"}, {"type": "null"}]
+
+    assert "param2" in tool.args
+    assert tool.args["param2"]["title"] == "Param2"
+    assert tool.args["param2"]["description"] == "Parameter 2"
+    assert tool.args["param2"]["anyOf"] == [{"type": "integer"}, {"type": "null"}]
 
 
 @pytest.mark.asyncio
@@ -258,7 +268,7 @@ async def test_generate_tool_invoke(mock_invoke_tool):
     tool = client._generate_tool("test_tool", ManifestSchema(**manifest_data))
 
     # Call the tool function with some arguments
-    result = await tool.coroutine(param1="test_value", param2=123)
+    result = await tool.ainvoke({"param1": "test_value", "param2": 123})
 
     # Assert that _invoke_tool was called with the correct parameters
     mock_invoke_tool.assert_called_once_with(
@@ -739,7 +749,10 @@ async def test_generate_tool(
     assert isinstance(tool, StructuredTool)
     assert tool.name == "tool_name"
     assert tool.description == "Test tool description"
-    assert tool.args_schema.__name__ == "tool_name"
+    assert "param1" in tool.args
+    assert tool.args["param1"]["title"] == "Param1"
+    assert tool.args["param1"]["description"] == "Test param"
+    assert tool.args["param1"]["anyOf"] == [{"type": "string"}, {"type": "null"}]
 
     # Call the tool function to check if _invoke_tool is called
     if expected_invoke_tool_call: