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Propagate reasoning content #567

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Propagate reasoning content #567

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9188730
Hack in including reasoning content when parsing response message
mikasenghaas Nov 15, 2025
db6874b
Make reasoning field configurable
mikasenghaas Nov 20, 2025
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29 changes: 27 additions & 2 deletions verifiers/types.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,8 @@
Awaitable,
Callable,
Literal,
TypeAlias,
Union,
)

if sys.version_info < (3, 12):
Expand All @@ -13,8 +15,15 @@
from typing import TypedDict

from openai import AsyncOpenAI
from openai.types.chat import (
ChatCompletionAssistantMessageParam,
ChatCompletionDeveloperMessageParam,
ChatCompletionFunctionMessageParam,
ChatCompletionSystemMessageParam,
ChatCompletionToolMessageParam,
ChatCompletionUserMessageParam,
)
from openai.types.chat.chat_completion import ChatCompletion
from openai.types.chat.chat_completion_message_param import ChatCompletionMessageParam

# openai types
from openai.types.chat.chat_completion_message_tool_call import (
Expand All @@ -31,8 +40,24 @@
)
from pydantic import BaseModel


class ChatCompletionAssistantMessageParamWithReasoning(
ChatCompletionAssistantMessageParam
):
reasoning_content: str | None


ChatCompletionMessageParamWithReasoning: TypeAlias = Union[
ChatCompletionDeveloperMessageParam,
ChatCompletionSystemMessageParam,
ChatCompletionUserMessageParam,
ChatCompletionAssistantMessageParamWithReasoning,
ChatCompletionToolMessageParam,
ChatCompletionFunctionMessageParam,
]

# typing aliases
ChatMessage = ChatCompletionMessageParam
ChatMessage = ChatCompletionMessageParamWithReasoning
MessageType = Literal["chat", "completion"]
ModelResponse = Completion | ChatCompletion | None

Expand Down
21 changes: 15 additions & 6 deletions verifiers/utils/response_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -89,17 +89,26 @@ async def parse_response_tokens(


async def parse_response_messages(
response: ModelResponse, message_type: MessageType
response: ModelResponse,
message_type: MessageType,
reasoning_field: str = "reasoning_content",
) -> Messages:
response_text = ""
content = ""
reasoning_content = ""
if message_type == "chat":
assert isinstance(response, ChatCompletion)
if response.choices and response.choices[0].message:
response_text = response.choices[0].message.content or ""
content = response.choices[0].message.content or ""
reasoning_content = getattr(
response.choices[0].message, reasoning_field, ""
)

response_message: ChatMessage = {
"role": "assistant",
"content": response_text,
"content": content,
"reasoning_content": reasoning_content,
}

if (
response.choices
and response.choices[0].message
Expand All @@ -113,6 +122,6 @@ async def parse_response_messages(
else:
assert isinstance(response, Completion)
if response.choices and response.choices[0]:
response_text = response.choices[0].text or ""
completion_messages = str(response_text)
content = response.choices[0].text or ""
completion_messages = str(content)
return completion_messages
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