CheckMat / chatmock /reasoning.py
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from __future__ import annotations
from typing import Any, Dict
from .model_registry import DEFAULT_REASONING_EFFORTS, allowed_efforts_for_model, extract_reasoning_from_model_name
def build_reasoning_param(
base_effort: str = "medium",
base_summary: str = "auto",
overrides: Dict[str, Any] | None = None,
*,
allowed_efforts: frozenset[str] | None = None,
) -> Dict[str, Any]:
effort = (base_effort or "").strip().lower()
summary = (base_summary or "").strip().lower()
valid_efforts = allowed_efforts or DEFAULT_REASONING_EFFORTS
valid_summaries = {"auto", "concise", "detailed", "none"}
if isinstance(overrides, dict):
o_eff = str(overrides.get("effort", "")).strip().lower()
o_sum = str(overrides.get("summary", "")).strip().lower()
if o_eff in valid_efforts and o_eff:
effort = o_eff
if o_sum in valid_summaries and o_sum:
summary = o_sum
if effort not in valid_efforts:
effort = "medium"
if summary not in valid_summaries:
summary = "auto"
reasoning: Dict[str, Any] = {"effort": effort}
if summary != "none":
reasoning["summary"] = summary
return reasoning
def apply_reasoning_to_message(
message: Dict[str, Any],
reasoning_summary_text: str,
reasoning_full_text: str,
compat: str,
) -> Dict[str, Any]:
try:
compat = (compat or "think-tags").strip().lower()
except Exception:
compat = "think-tags"
if compat == "o3":
rtxt_parts: list[str] = []
if isinstance(reasoning_summary_text, str) and reasoning_summary_text.strip():
rtxt_parts.append(reasoning_summary_text)
if isinstance(reasoning_full_text, str) and reasoning_full_text.strip():
rtxt_parts.append(reasoning_full_text)
rtxt = "\n\n".join([p for p in rtxt_parts if p])
if rtxt:
message["reasoning"] = {"content": [{"type": "text", "text": rtxt}]}
return message
if compat in ("legacy", "current"):
if reasoning_summary_text:
message["reasoning_summary"] = reasoning_summary_text
if reasoning_full_text:
message["reasoning"] = reasoning_full_text
return message
rtxt_parts: list[str] = []
if isinstance(reasoning_summary_text, str) and reasoning_summary_text.strip():
rtxt_parts.append(reasoning_summary_text)
if isinstance(reasoning_full_text, str) and reasoning_full_text.strip():
rtxt_parts.append(reasoning_full_text)
rtxt = "\n\n".join([p for p in rtxt_parts if p])
if rtxt:
think_block = f"<think>{rtxt}</think>"
content_text = message.get("content") or ""
if isinstance(content_text, str):
message["content"] = think_block + (content_text or "")
return message