@@ -36,7 +36,7 @@ class AnthropicMessage(BaseModel):
 
 
 class AnthropicThinkingConfig(BaseModel):
-    type: Literal["enabled", "disabled", "adaptive"] = Field(...)
+    type: Literal["enabled", "disabled", "adaptive", "between_tools"] = Field(...)
     budget_tokens: int | None = Field(
         None, ge=1024,
         description="Reasoning budget in tokens. Used when type is 'enabled'. Must be less than max_tokens.",
 
@@ -33,6 +33,7 @@
     "Opus 4.8": "claude-opus-4-8",
     "Fable 5.1": "claude-fable-5-1",
     "Fable 5": "claude-fable-5",
+    "Sonnet 5.5": "claude-sonnet-5-5",
     "Sonnet 5": "claude-sonnet-5",
     "Opus 4.7": "claude-opus-4-7",
     "Opus 4.6": "claude-opus-4-6",
@@ -44,12 +45,13 @@
 _THINKING_UNSUPPORTED = {"Haiku 4.5"}
 # Models that use the newer "adaptive" thinking mode (Opus 4.7+ require it; older models keep the explicit budget API).
 # Anthropic decides the actual budget when adaptive is used, based on the `output_config.effort` hint.
-_ADAPTIVE_THINKING_MODELS = {"Opus 4.8", "Sonnet 5", "Opus 4.7", "Opus 4.6", "Sonnet 4.6"}
+_ADAPTIVE_THINKING_MODELS = {"Opus 4.8", "Sonnet 5.5", "Sonnet 5", "Opus 4.7", "Opus 4.6", "Sonnet 4.6"}
 _ALWAYS_THINKING_MODELS = {"Opus 5.5", "Opus 5", "Fable 5.1", "Fable 5"}
-_XHIGH_EFFORT_MODELS = {"Opus 5.5", "Opus 5", "Opus 4.8", "Fable 5.1", "Fable 5", "Sonnet 5", "Opus 4.7"}
+_XHIGH_EFFORT_MODELS = {"Opus 5.5", "Opus 5", "Opus 4.8", "Fable 5.1", "Fable 5", "Sonnet 5.5", "Sonnet 5", "Opus 4.7"}
 _MAX_EFFORT_MODELS = _XHIGH_EFFORT_MODELS | {"Opus 4.6", "Sonnet 4.6"}
-_EXPLICIT_THINKING_OFF_MODELS = {"Sonnet 5"}
-_NO_TEMPERATURE_MODELS = {"Opus 5.5", "Opus 5", "Opus 4.8", "Fable 5.1", "Fable 5", "Sonnet 5"}
+_EXPLICIT_THINKING_OFF_MODELS = {"Sonnet 5.5": "between_tools", "Sonnet 5": "disabled"}
+_NO_TEMPERATURE_MODELS = {"Opus 5.5", "Opus 5", "Opus 4.8", "Fable 5.1", "Fable 5", "Sonnet 5.5", "Sonnet 5"}
+_LOW_MAX_TOKENS_MODELS = {"Opus 5.5", "Sonnet 5.5"}
 
 # Budget mode (Sonnet 4.5): effort -> reasoning budget in tokens. Must be < max_tokens.
 # Sized so even the "high" budget fits comfortably under the default max_tokens=32768.
@@ -77,7 +79,7 @@ def _claude_model_inputs(model_label: str):
         IO.Int.Input(
             "max_tokens",
             default=32768,
-            min=4096,
+            min=1024 if model_label in _LOW_MAX_TOKENS_MODELS else 4096,
             max=64000,
             tooltip="Maximum number of tokens to generate (includes reasoning tokens when enabled).",
             advanced=True,
@@ -297,7 +299,7 @@ async def execute(
                 budget = min(budget, max(1024, max_tokens - 1024))
                 thinking_cfg = AnthropicThinkingConfig(type="enabled", budget_tokens=budget)
         elif model_label in _EXPLICIT_THINKING_OFF_MODELS:
-            thinking_cfg = AnthropicThinkingConfig(type="disabled")
+            thinking_cfg = AnthropicThinkingConfig(type=_EXPLICIT_THINKING_OFF_MODELS[model_label])
 
         image_tensors: list[Input.Image] = [t for t in (images or {}).values() if t is not None]
         if sum(get_number_of_images(t) for t in image_tensors) > CLAUDE_MAX_IMAGES: