openai[patch]: support Responses API (#30231)

Co-authored-by: Bagatur <baskaryan@gmail.com>

libs/core/langchain_core/messages/ai.py

@@ -443,6 +443,11 @@ def add_ai_message_chunks(
     else:
         usage_metadata = None
 
+    id = None
+    for id_ in [left.id] + [o.id for o in others]:
+        if id_:
+            id = id_
+            break
     return left.__class__(
         example=left.example,
         content=content,
@@ -450,7 +455,7 @@ def add_ai_message_chunks(
         tool_call_chunks=tool_call_chunks,
         response_metadata=response_metadata,
         usage_metadata=usage_metadata,
-        id=left.id,
+        id=id,
     )
 
 

libs/core/langchain_core/utils/function_calling.py

@@ -531,9 +531,19 @@ def convert_to_openai_tool(
 
         'description' and 'parameters' keys are now optional. Only 'name' is
         required and guaranteed to be part of the output.
+
+    .. versionchanged:: 0.3.44
+
+        Return OpenAI Responses API-style tools unchanged. This includes
+        any dict with "type" in "file_search", "function", "computer_use_preview",
+        "web_search_preview".
     """
-    if isinstance(tool, dict) and tool.get("type") == "function" and "function" in tool:
-        return tool
+    if isinstance(tool, dict):
+        if tool.get("type") in ("function", "file_search", "computer_use_preview"):
+            return tool
+        # As of 03.12.25 can be "web_search_preview" or "web_search_preview_2025_03_11"
+        if (tool.get("type") or "").startswith("web_search_preview"):
+            return tool
     oai_function = convert_to_openai_function(tool, strict=strict)
     return {"type": "function", "function": oai_function}
 

libs/core/pyproject.toml

@@ -17,7 +17,7 @@ dependencies = [
     "pydantic<3.0.0,>=2.7.4; python_full_version >= \"3.12.4\"",
 ]
 name = "langchain-core"
-version = "0.3.44"
+version = "0.3.45-rc.1"
 description = "Building applications with LLMs through composability"
 readme = "README.md"