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Removed reasoning pass

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This commit is contained in:
Dillon DuPont
2025-08-28 19:21:04 -04:00
parent efc2c3e54c
commit 6ec083e28a
1 changed files with 32 additions and 32 deletions
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64
libs/python/agent/agent/callbacks/operator_validator.py
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@@ -102,37 +102,37 @@ class OperatorNormalizerCallback(AsyncCallbackHandler):
_keep_keys(action, keep)
# Second pass: if an assistant message is immediately followed by a computer_call,
# replace the assistant message itself with a reasoning message with summary text.
if isinstance(output, list):
for i, item in enumerate(output):
# AssistantMessage shape: { type: 'message', role: 'assistant', content: OutputContent[] }
if item.get("type") == "message" and item.get("role") == "assistant":
next_idx = i + 1
if next_idx >= len(output):
continue
next_item = output[next_idx]
if not isinstance(next_item, dict):
continue
if next_item.get("type") != "computer_call":
continue
contents = item.get("content") or []
# Extract text from OutputContent[]
text_parts: List[str] = []
if isinstance(contents, list):
for c in contents:
if isinstance(c, dict) and c.get("type") == "output_text" and isinstance(c.get("text"), str):
text_parts.append(c["text"])
text_content = "\n".join(text_parts).strip()
# Replace assistant message with reasoning message
output[i] = {
"type": "reasoning",
"summary": [
{
"type": "summary_text",
"text": text_content,
}
],
}
# # Second pass: if an assistant message is immediately followed by a computer_call,
# # replace the assistant message itself with a reasoning message with summary text.
# if isinstance(output, list):
# for i, item in enumerate(output):
# # AssistantMessage shape: { type: 'message', role: 'assistant', content: OutputContent[] }
# if item.get("type") == "message" and item.get("role") == "assistant":
# next_idx = i + 1
# if next_idx >= len(output):
# continue
# next_item = output[next_idx]
# if not isinstance(next_item, dict):
# continue
# if next_item.get("type") != "computer_call":
# continue
# contents = item.get("content") or []
# # Extract text from OutputContent[]
# text_parts: List[str] = []
# if isinstance(contents, list):
# for c in contents:
# if isinstance(c, dict) and c.get("type") == "output_text" and isinstance(c.get("text"), str):
# text_parts.append(c["text"])
# text_content = "\n".join(text_parts).strip()
# # Replace assistant message with reasoning message
# output[i] = {
# "type": "reasoning",
# "summary": [
# {
# "type": "summary_text",
# "text": text_content,
# }
# ],
# }
return output