community: adding tool_call_id for every ToolCall (#22323)

- **Description:** This PR contains a bugfix which result in malfunction
of multi-turn conversation in QianfanChatEndpoint and adaption for
ToolCall and ToolMessage

libs/community/langchain_community/chat_models/baidu_qianfan_endpoint.py

@@ -1,4 +1,5 @@
 import logging
+import uuid
 from operator import itemgetter
 from typing import (
     Any,
@@ -29,6 +30,7 @@ from langchain_core.messages import (
     FunctionMessage,
     HumanMessage,
     SystemMessage,
+    ToolMessage,
 )
 from langchain_core.output_parsers.base import OutputParserLike
 from langchain_core.output_parsers.openai_tools import (
@@ -59,7 +61,7 @@ def convert_message_to_dict(message: BaseMessage) -> dict:
             # If function call only, content is None not empty string
             if message_dict["content"] == "":
                 message_dict["content"] = None
-    elif isinstance(message, FunctionMessage):
+    elif isinstance(message, (FunctionMessage, ToolMessage)):
         message_dict = {
             "role": "function",
             "content": message.content,
@@ -81,21 +83,28 @@ def _convert_dict_to_message(_dict: Mapping[str, Any]) -> AIMessage:
             additional_kwargs["function_call"].pop("thoughts")
 
     additional_kwargs = {**_dict.get("body", {}), **additional_kwargs}
+    msg_additional_kwargs = dict(
+        finish_reason=additional_kwargs.get("finish_reason", ""),
+        request_id=additional_kwargs["id"],
+        object=additional_kwargs.get("object", ""),
+        search_info=additional_kwargs.get("search_info", []),
+    )
+
+    if additional_kwargs.get("function_call", {}):
+        msg_additional_kwargs["function_call"] = additional_kwargs.get(
+            "function_call", {}
+        )
+        msg_additional_kwargs["tool_calls"] = [
+            {
+                "type": "function",
+                "function": additional_kwargs.get("function_call", {}),
+                "id": str(uuid.uuid4()),
+            }
+        ]
+
     return AIMessage(
         content=content,
-        additional_kwargs=dict(
-            finish_reason=additional_kwargs.get("finish_reason", ""),
-            request_id=additional_kwargs["id"],
-            object=additional_kwargs.get("object", ""),
-            search_info=additional_kwargs.get("search_info", []),
-            function_call=additional_kwargs.get("function_call", {}),
-            tool_calls=[
-                {
-                    "type": "function",
-                    "function": additional_kwargs.get("function_call", {}),
-                }
-            ],
-        ),
+        additional_kwargs=msg_additional_kwargs,
     )