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/integration_tests/chat_models/test_tongyi.py

@@ -1,15 +1,37 @@
 """Test Alibaba Tongyi Chat Model."""
-from typing import cast
+from typing import Any, cast
 
 from langchain_core.callbacks import CallbackManager
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
 from langchain_core.outputs import ChatGeneration, LLMResult
+from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
 from langchain_core.pydantic_v1 import SecretStr
 from pytest import CaptureFixture
 
 from langchain_community.chat_models.tongyi import ChatTongyi
 from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
+_FUNCTIONS: Any = [
+    {
+        "type": "function",
+        "function": {
+            "name": "get_current_weather",
+            "description": "Get the current weather in a given location",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "location": {
+                        "type": "string",
+                        "description": "The city and state, e.g. San Francisco, CA",
+                    },
+                    "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                },
+                "required": ["location"],
+            },
+        },
+    }
+]
+
 
 def test_initialization() -> None:
     """Test chat model initialization."""
@@ -52,6 +74,23 @@ def test_model() -> None:
     assert isinstance(response.content, str)
 
 
+def test_functions_call_thoughts() -> None:
+    chat = ChatTongyi(model="qwen-plus")
+
+    prompt_tmpl = "Use the given functions to answer following question: {input}"
+    prompt_msgs = [
+        HumanMessagePromptTemplate.from_template(prompt_tmpl),
+    ]
+    prompt = ChatPromptTemplate(messages=prompt_msgs)
+
+    chain = prompt | chat.bind(functions=_FUNCTIONS)
+
+    message = HumanMessage(content="What's the weather like in Shanghai today?")
+    response = chain.batch([{"input": message}])
+    assert isinstance(response[0], AIMessage)
+    assert "tool_calls" in response[0].additional_kwargs
+
+
 def test_multiple_history() -> None:
     """Tests multiple history works."""
     chat = ChatTongyi()