Fixed backward comp
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@@ -69,6 +69,11 @@ class RunwareTextInferenceSettings:
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"step": 1,
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"tooltip": f"Top-k sampling (1–{cls._MAX_TOP_K}).",
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}),
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# Keep this in the original slot to avoid shifting legacy widgets_values.
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"thinkingLevel": (["none", "low", "medium", "high"], {
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"default": "none",
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"tooltip": "Extended reasoning level: none, low, medium, high.",
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}),
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"useStopSequences": ("BOOLEAN", {
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"default": False,
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"tooltip": "Include stopSequences in settings.",
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@@ -118,10 +123,6 @@ class RunwareTextInferenceSettings:
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"default": "{}",
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"tooltip": "JSON object for toolChoice.",
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}),
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"thinkingLevel": (["none", "low", "medium", "high"], {
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"default": "none",
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"tooltip": "Extended reasoning level: none, low, medium, high.",
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}),
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},
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}
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@@ -181,6 +182,19 @@ class RunwareTextInferenceSettings:
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)
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return items
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@staticmethod
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def _normalize_thinking_level(raw: Any) -> str:
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value = str(raw or "none").strip().lower()
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# Backward compatibility with older workflows.
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aliases = {
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"off": "none",
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"minimal": "low",
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}
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value = aliases.get(value, value)
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if value not in ("none", "low", "medium", "high"):
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return "none"
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return value
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def create_settings(self, **kwargs) -> Tuple[Dict[str, Any], ...]:
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out: Dict[str, Any] = {}
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@@ -224,7 +238,7 @@ class RunwareTextInferenceSettings:
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if parsed_choice:
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out["toolChoice"] = parsed_choice
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tl = kwargs.get("thinkingLevel", "none")
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tl = self._normalize_thinking_level(kwargs.get("thinkingLevel", "none"))
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if tl != "none":
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out["thinkingLevel"] = tl
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