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feat(anthropic): map advanced thinking and effort params to OpenAI reasoning_effort

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eli 2026-05-31 10:15:06 +08:00
parent 4923920bf1
commit db851e6fbe
1 changed files with 39 additions and 0 deletions
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39
backend/open_webui/utils/anthropic.py
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@ -349,6 +349,45 @@ def convert_anthropic_to_openai_payload(anthropic_payload: dict) -> dict:
'type': 'function',
'function': {'name': tc.get('name', '')},
}
# === Add logic to convert Anthropic thinking/reasoning parameters to OpenAI reasoning_effort ===
def map_effort_string(raw_str: str) -> str:
"""Extract reasoning level via fuzzy matching, defaulting to safe compatible 'high' for max values."""
s = raw_str.lower()
if any(keyword in s for keyword in ('high', 'max', 'ultra')):
return 'high'
elif 'low' in s:
return 'low'
else:
return 'medium'
# 1. Prioritize capturing output_config.effort from the latest Claude Code versions
if 'output_config' in anthropic_payload and isinstance(anthropic_payload['output_config'], dict):
effort_val = anthropic_payload['output_config'].get('effort')
if effort_val:
openai_payload['reasoning_effort'] = map_effort_string(str(effort_val))
# 2. Compatibility for effort field passed directly at the top level
elif 'effort' in anthropic_payload:
openai_payload['reasoning_effort'] = map_effort_string(str(anthropic_payload['effort']))
# 3. Fallback handling for thinking field (supports both adaptive and legacy budget_tokens)
if 'thinking' in anthropic_payload:
thinking_cfg = anthropic_payload['thinking']
if isinstance(thinking_cfg, dict):
# If using the latest adaptive thinking, and effort wasn't caught above, default to high intensity
if thinking_cfg.get('type') == 'adaptive' and 'reasoning_effort' not in openai_payload:
openai_payload['reasoning_effort'] = 'high'
# Legacy budget_tokens logic
elif 'budget_tokens' in thinking_cfg and 'reasoning_effort' not in openai_payload:
budget = thinking_cfg.get('budget_tokens', 0)
if budget == 0:
openai_payload['reasoning_effort'] = 'medium'
elif budget < 4000:
openai_payload['reasoning_effort'] = 'low'
elif budget < 8000:
openai_payload['reasoning_effort'] = 'medium'
else:
openai_payload['reasoning_effort'] = 'high'
return openai_payload