Fix OAI Tool Message (#14746)

See format here:
https://platform.openai.com/docs/guides/function-calling/parallel-function-calling


It expects a "name" argument, which we aren't providing by default.


![image](https://github.com/langchain-ai/langchain/assets/13333726/7cd82978-337c-40a1-b099-3bb25cd57eb4)


Alternative is to add the 'name' field directly to the message if people
prefer.

libs/community/langchain_community/adapters/openai.py

@@ -89,7 +89,14 @@ def convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
     elif role == "function":
         return FunctionMessage(content=_dict["content"], name=_dict["name"])
     elif role == "tool":
-        return ToolMessage(content=_dict["content"], tool_call_id=_dict["tool_call_id"])
+        additional_kwargs = {}
+        if "name" in _dict:
+            additional_kwargs["name"] = _dict["name"]
+        return ToolMessage(
+            content=_dict["content"],
+            tool_call_id=_dict["tool_call_id"],
+            additional_kwargs=additional_kwargs,
+        )
     else:
         return ChatMessage(content=_dict["content"], role=role)
 

libs/langchain/langchain/agents/format_scratchpad/openai_tools.py

@@ -31,6 +31,7 @@ def _create_tool_message(
     return ToolMessage(
         tool_call_id=agent_action.tool_call_id,
         content=content,
+        additional_kwargs={"name": agent_action.tool},
     )
 
 

libs/langchain/tests/unit_tests/agents/format_scratchpad/test_openai_tools.py

@@ -0,0 +1,94 @@
+from langchain_core.messages import AIMessage, ToolMessage
+
+from langchain.agents.format_scratchpad.openai_tools import (
+    format_to_openai_tool_messages,
+)
+from langchain.agents.output_parsers.openai_tools import (
+    parse_ai_message_to_openai_tool_action,
+)
+
+
+def test_calls_convert_agent_action_to_messages() -> None:
+    additional_kwargs1 = {
+        "tool_calls": [
+            {
+                "id": "call_abcd12345",
+                "function": {"arguments": '{"a": 3, "b": 5}', "name": "add"},
+                "type": "function",
+            }
+        ],
+    }
+    message1 = AIMessage(content="", additional_kwargs=additional_kwargs1)
+
+    actions1 = parse_ai_message_to_openai_tool_action(message1)
+    additional_kwargs2 = {
+        "tool_calls": [
+            {
+                "id": "call_abcd54321",
+                "function": {"arguments": '{"a": 3, "b": 5}', "name": "subtract"},
+                "type": "function",
+            }
+        ],
+    }
+    message2 = AIMessage(content="", additional_kwargs=additional_kwargs2)
+    actions2 = parse_ai_message_to_openai_tool_action(message2)
+
+    additional_kwargs3 = {
+        "tool_calls": [
+            {
+                "id": "call_abcd67890",
+                "function": {"arguments": '{"a": 3, "b": 5}', "name": "multiply"},
+                "type": "function",
+            },
+            {
+                "id": "call_abcd09876",
+                "function": {"arguments": '{"a": 3, "b": 5}', "name": "divide"},
+                "type": "function",
+            },
+        ],
+    }
+    message3 = AIMessage(content="", additional_kwargs=additional_kwargs3)
+    actions3 = parse_ai_message_to_openai_tool_action(message3)
+    # for mypy
+    assert isinstance(actions1, list)
+    assert isinstance(actions2, list)
+    assert isinstance(actions3, list)
+
+    intermediate_steps = [
+        (actions1[0], "observation1"),
+        (actions2[0], "observation2"),
+        (actions3[0], "observation3"),
+        (actions3[1], "observation4"),
+    ]
+    expected_messages = [
+        message1,
+        ToolMessage(
+            tool_call_id="call_abcd12345",
+            content="observation1",
+            additional_kwargs={"name": "add"},
+        ),
+        message2,
+        ToolMessage(
+            tool_call_id="call_abcd54321",
+            content="observation2",
+            additional_kwargs={"name": "subtract"},
+        ),
+        message3,
+        ToolMessage(
+            tool_call_id="call_abcd67890",
+            content="observation3",
+            additional_kwargs={"name": "multiply"},
+        ),
+        ToolMessage(
+            tool_call_id="call_abcd09876",
+            content="observation4",
+            additional_kwargs={"name": "divide"},
+        ),
+    ]
+    output = format_to_openai_tool_messages(intermediate_steps)
+    assert output == expected_messages
+
+
+def test_handles_empty_input_list() -> None:
+    output = format_to_openai_tool_messages([])
+    assert output == []