community[patch]: Add function call support in Tongyi chat model. (#20119)

- [ ] **PR message**: 
- **Description:** This pr adds function calling support in Tongyi chat
model.
    - **Issue:** None
    - **Dependencies:** None
    - **Twitter handle:** None

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>

libs/community/tests/unit_tests/chat_models/test_tongyi.py

@@ -0,0 +1,85 @@
+from langchain_core.messages import (
+    AIMessage,
+    HumanMessage,
+    SystemMessage,
+)
+from langchain_core.output_parsers.openai_tools import (
+    parse_tool_call,
+)
+
+from langchain_community.chat_models.tongyi import (
+    convert_dict_to_message,
+    convert_message_to_dict,
+)
+
+
+def test__convert_dict_to_message_human() -> None:
+    message_dict = {"role": "user", "content": "foo"}
+    result = convert_dict_to_message(message_dict)
+    expected_output = HumanMessage(content="foo")
+    assert result == expected_output
+
+
+def test__convert_dict_to_message_ai() -> None:
+    message_dict = {"role": "assistant", "content": "foo"}
+    result = convert_dict_to_message(message_dict)
+    expected_output = AIMessage(content="foo")
+    assert result == expected_output
+
+
+def test__convert_dict_to_message_other_role() -> None:
+    message_dict = {"role": "system", "content": "foo"}
+    result = convert_dict_to_message(message_dict)
+    expected_output = SystemMessage(content="foo")
+    assert result == expected_output
+
+
+def test__convert_dict_to_message_function_call() -> None:
+    raw_function_calls = [
+        {
+            "function": {
+                "name": "get_current_weather",
+                "arguments": '{"location": "Boston", "unit": "fahrenheit"}',
+            },
+            "type": "function",
+        }
+    ]
+    message_dict = {
+        "role": "assistant",
+        "content": "foo",
+        "tool_calls": raw_function_calls,
+    }
+    result = convert_dict_to_message(message_dict)
+
+    tool_calls = [
+        parse_tool_call(raw_tool_call, return_id=True)
+        for raw_tool_call in raw_function_calls
+    ]
+    expected_output = AIMessage(
+        content="foo",
+        additional_kwargs={"tool_calls": raw_function_calls},
+        tool_calls=tool_calls,
+        invalid_tool_calls=[],
+    )
+    assert result == expected_output
+
+
+def test__convert_message_to_dict_human() -> None:
+    message = HumanMessage(content="foo")
+    result = convert_message_to_dict(message)
+    expected_output = {"role": "user", "content": "foo"}
+    assert result == expected_output
+
+
+def test__convert_message_to_dict_ai() -> None:
+    message = AIMessage(content="foo")
+    result = convert_message_to_dict(message)
+    expected_output = {"role": "assistant", "content": "foo"}
+    assert result == expected_output
+
+
+def test__convert_message_to_dict_system() -> None:
+    message = SystemMessage(content="foo")
+    result = convert_message_to_dict(message)
+    expected_output = {"role": "system", "content": "foo"}
+    assert result == expected_output