Fix "No call message found" bug with gpt-oss-120b when using responses API

Author: ehtec

libs/partners/openai/langchain_openai/chat_models/base.py

@@ -3987,7 +3987,7 @@ def _construct_lc_result_from_responses_api(
                         {"type": "refusal", "refusal": content.refusal, "id": output.id}
                     )
         elif output.type == "function_call":
-            content_blocks.append(output.model_dump(exclude_none=True, mode="json"))
+            content_blocks.append(output.model_dump(exclude_none=False, mode="json"))
             try:
                 args = json.loads(output.arguments, strict=False)
                 error = None
@@ -4012,7 +4012,7 @@ def _construct_lc_result_from_responses_api(
                 }
                 invalid_tool_calls.append(tool_call)
         elif output.type == "custom_tool_call":
-            content_blocks.append(output.model_dump(exclude_none=True, mode="json"))
+            content_blocks.append(output.model_dump(exclude_none=False, mode="json"))
             tool_call = {
                 "type": "tool_call",
                 "name": output.name,
@@ -4031,7 +4031,7 @@ def _construct_lc_result_from_responses_api(
             "mcp_approval_request",
             "image_generation_call",
         ):
-            content_blocks.append(output.model_dump(exclude_none=True, mode="json"))
+            content_blocks.append(output.model_dump(exclude_none=False, mode="json"))
 
     # Workaround for parsing structured output in the streaming case.
     #    from openai import OpenAI
@@ -4160,7 +4160,7 @@ def _advance(output_idx: int, sub_idx: int | None = None) -> None:
             # Appears to be a breaking change in openai==1.82.0
             annotation = chunk.annotation
         else:
-            annotation = chunk.annotation.model_dump(exclude_none=True, mode="json")
+            annotation = chunk.annotation.model_dump(exclude_none=False, mode="json")
 
         content.append(
             {
@@ -4232,15 +4232,15 @@ def _advance(output_idx: int, sub_idx: int | None = None) -> None:
         "image_generation_call",
     ):
         _advance(chunk.output_index)
-        tool_output = chunk.item.model_dump(exclude_none=True, mode="json")
+        tool_output = chunk.item.model_dump(exclude_none=False, mode="json")
         tool_output["index"] = current_index
         content.append(tool_output)
     elif (
         chunk.type == "response.output_item.done"
         and chunk.item.type == "custom_tool_call"
     ):
         _advance(chunk.output_index)
-        tool_output = chunk.item.model_dump(exclude_none=True, mode="json")
+        tool_output = chunk.item.model_dump(exclude_none=False, mode="json")
         tool_output["index"] = current_index
         content.append(tool_output)
         tool_call_chunks.append(
@@ -4265,7 +4265,7 @@ def _advance(output_idx: int, sub_idx: int | None = None) -> None:
     elif chunk.type == "response.output_item.added" and chunk.item.type == "reasoning":
         _advance(chunk.output_index)
         current_sub_index = 0
-        reasoning = chunk.item.model_dump(exclude_none=True, mode="json")
+        reasoning = chunk.item.model_dump(exclude_none=False, mode="json")
         reasoning["index"] = current_index
         content.append(reasoning)
     elif chunk.type == "response.reasoning_summary_part.added":