Skip to content

fix(openai): "No call message found" bug with gpt-oss-120b when using responses API #33450

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Draft
wants to merge 1 commit into
base: master
Choose a base branch
from
Draft

fix(openai): "No call message found" bug with gpt-oss-120b when using responses API #33450

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 7 additions & 7 deletions libs/partners/openai/langchain_openai/chat_models/base.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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,
Expand All @@ -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
Expand Down Expand Up @@ -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(
{
Expand Down Expand Up @@ -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(
Expand All @@ -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":
Expand Down
Loading