Feature/update hunyuan (#25779)

Description: 
    - Add system templates and user templates in integration testing
    - initialize the response id field value to request_id
    - Adjust the default model to hunyuan-pro
    - Remove the default values of Temperature and TopP
    - Add SystemMessage

all the integration tests have passed.
1、Execute integration tests for the first time
<img width="1359" alt="71ca77a2-e9be-4af6-acdc-4d665002bd9b"
src="https://github.com/user-attachments/assets/9298dc3a-aa26-4bfa-968b-c011a4e699c9">

2、Run the integration test a second time
<img width="1501" alt="image"
src="https://github.com/user-attachments/assets/61335416-4a67-4840-bb89-090ba668e237">

Issue: None
Dependencies: None
Twitter handle: None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>

libs/community/langchain_community/chat_models/hunyuan.py

@@ -16,6 +16,7 @@ from langchain_core.messages import (
     ChatMessageChunk,
     HumanMessage,
     HumanMessageChunk,
+    SystemMessage,
 )
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
 from langchain_core.pydantic_v1 import Field, SecretStr, root_validator
@@ -33,6 +34,8 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
     message_dict: Dict[str, Any]
     if isinstance(message, ChatMessage):
         message_dict = {"Role": message.role, "Content": message.content}
+    elif isinstance(message, SystemMessage):
+        message_dict = {"Role": "system", "Content": message.content}
     elif isinstance(message, HumanMessage):
         message_dict = {"Role": "user", "Content": message.content}
     elif isinstance(message, AIMessage):
@@ -45,7 +48,9 @@ def _convert_message_to_dict(message: BaseMessage) -> dict:
 
 def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
     role = _dict["Role"]
-    if role == "user":
+    if role == "system":
+        return SystemMessage(content=_dict.get("Content", "") or "")
+    elif role == "user":
         return HumanMessage(content=_dict["Content"])
     elif role == "assistant":
         return AIMessage(content=_dict.get("Content", "") or "")
@@ -73,6 +78,7 @@ def _create_chat_result(response: Mapping[str, Any]) -> ChatResult:
     generations = []
     for choice in response["Choices"]:
         message = _convert_dict_to_message(choice["Message"])
+        message.id = response.get("Id", "")
         generations.append(ChatGeneration(message=message))
 
     token_usage = response["Usage"]
@@ -115,7 +121,7 @@ class ChatHunyuan(BaseChatModel):
     model: str = "hunyuan-lite"
     """What Model to use.
      Optional model:
-    - hunyuan-lite、
+    - hunyuan-lite
     - hunyuan-standard
     - hunyuan-standard-256K
     - hunyuan-pro
@@ -233,6 +239,7 @@ class ChatHunyuan(BaseChatModel):
                 chunk = _convert_delta_to_message_chunk(
                     choice["Delta"], default_chunk_class
                 )
+                chunk.id = response.get("Id", "")
                 default_chunk_class = chunk.__class__
                 cg_chunk = ChatGenerationChunk(message=chunk)
                 if run_manager:

libs/community/tests/integration_tests/chat_models/test_hunyuan.py

@@ -1,5 +1,15 @@
+import uuid
+from operator import itemgetter
+from typing import Any
+
 import pytest
+from langchain.prompts.chat import (
+    ChatPromptTemplate,
+    HumanMessagePromptTemplate,
+    SystemMessagePromptTemplate,
+)
 from langchain_core.messages import AIMessage, HumanMessage
+from langchain_core.runnables.base import RunnableSerializable
 
 from langchain_community.chat_models.hunyuan import ChatHunyuan
 
@@ -11,6 +21,8 @@ def test_chat_hunyuan() -> None:
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
     assert isinstance(response.content, str)
+    assert response.id is not None, "request_id is empty"
+    assert uuid.UUID(response.id), "Invalid UUID"
 
 
 @pytest.mark.requires("tencentcloud-sdk-python")
@@ -20,6 +32,8 @@ def test_chat_hunyuan_with_temperature() -> None:
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
     assert isinstance(response.content, str)
+    assert response.id is not None, "request_id is empty"
+    assert uuid.UUID(response.id), "Invalid UUID"
 
 
 @pytest.mark.requires("tencentcloud-sdk-python")
@@ -29,6 +43,8 @@ def test_chat_hunyuan_with_model_name() -> None:
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
     assert isinstance(response.content, str)
+    assert response.id is not None, "request_id is empty"
+    assert uuid.UUID(response.id), "Invalid UUID"
 
 
 @pytest.mark.requires("tencentcloud-sdk-python")
@@ -38,6 +54,27 @@ def test_chat_hunyuan_with_stream() -> None:
     response = chat.invoke([message])
     assert isinstance(response, AIMessage)
     assert isinstance(response.content, str)
+    assert response.id is not None, "request_id is empty"
+    assert uuid.UUID(response.id), "Invalid UUID"
+
+
+@pytest.mark.requires("tencentcloud-sdk-python")
+def test_chat_hunyuan_with_prompt_template() -> None:
+    system_prompt = SystemMessagePromptTemplate.from_template(
+        "You are a helpful assistant! Your name is {name}."
+    )
+    user_prompt = HumanMessagePromptTemplate.from_template("Question: {query}")
+    chat_prompt = ChatPromptTemplate.from_messages([system_prompt, user_prompt])
+    chat: RunnableSerializable[Any, Any] = (
+        {"query": itemgetter("query"), "name": itemgetter("name")}
+        | chat_prompt
+        | ChatHunyuan()
+    )
+    response = chat.invoke({"query": "Hello", "name": "Tom"})
+    assert isinstance(response, AIMessage)
+    assert isinstance(response.content, str)
+    assert response.id is not None, "request_id is empty"
+    assert uuid.UUID(response.id), "Invalid UUID"
 
 
 def test_extra_kwargs() -> None:

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

@@ -32,9 +32,9 @@ def test__convert_message_to_dict_ai() -> None:
 
 def test__convert_message_to_dict_system() -> None:
     message = SystemMessage(content="foo")
-    with pytest.raises(TypeError) as e:
-        _convert_message_to_dict(message)
-    assert "Got unknown type" in str(e)
+    result = _convert_message_to_dict(message)
+    expected_output = {"Role": "system", "Content": "foo"}
+    assert result == expected_output
 
 
 def test__convert_message_to_dict_function() -> None:
@@ -58,10 +58,17 @@ def test__convert_dict_to_message_ai() -> None:
     assert result == expected_output
 
 
-def test__convert_dict_to_message_other_role() -> None:
+def test__convert_dict_to_message_system() -> None:
     message_dict = {"Role": "system", "Content": "foo"}
     result = _convert_dict_to_message(message_dict)
-    expected_output = ChatMessage(role="system", content="foo")
+    expected_output = SystemMessage(content="foo")
+    assert result == expected_output
+
+
+def test__convert_dict_to_message_other_role() -> None:
+    message_dict = {"Role": "other", "Content": "foo"}
+    result = _convert_dict_to_message(message_dict)
+    expected_output = ChatMessage(role="other", content="foo")
     assert result == expected_output