Add GPT-5.5 Pro preset

chatmock/fast_mode.py

@@ -9,6 +9,7 @@ from .model_registry import normalize_model_name
 PRIORITY_SUPPORTED_MODELS = frozenset(
     (
         "gpt-5.4",
+        "gpt-5.5",
         "gpt-5.2",
         "gpt-5.1",
         "gpt-5",

chatmock/model_registry.py

@@ -16,6 +16,7 @@ class ModelSpec:
     allowed_efforts: frozenset[str]
     variant_efforts: tuple[str, ...]
     uses_codex_instructions: bool = False
+    preset_effort: str | None = None
 
 
 _MODEL_SPECS = (
@@ -61,6 +62,14 @@ _MODEL_SPECS = (
         allowed_efforts=frozenset(("none", "low", "medium", "high", "xhigh")),
         variant_efforts=("xhigh", "high", "medium", "low", "none"),
     ),
+    ModelSpec(
+        public_id="gpt-5.5-pro",
+        upstream_id="gpt-5.5",
+        aliases=("gpt5.5-pro", "gpt-5.5-pro-latest"),
+        allowed_efforts=frozenset(("none", "low", "medium", "high", "xhigh")),
+        variant_efforts=(),
+        preset_effort="xhigh",
+    ),
     ModelSpec(
         public_id="gpt-5.3-codex",
         upstream_id="gpt-5.3-codex",
@@ -127,12 +136,12 @@ _MODEL_SPECS = (
     ),
 )
 
-_SPECS_BY_UPSTREAM = {spec.upstream_id: spec for spec in _MODEL_SPECS}
+_SPECS_BY_PUBLIC_ID = {spec.public_id: spec for spec in _MODEL_SPECS}
 _ALIASES = {}
 for _spec in _MODEL_SPECS:
-    _ALIASES[_spec.public_id] = _spec.upstream_id
+    _ALIASES[_spec.public_id] = _spec.public_id
     for _alias in _spec.aliases:
-        _ALIASES[_alias] = _spec.upstream_id
+        _ALIASES[_alias] = _spec.public_id
 
 
 def _strip_model_name(model: str | None) -> tuple[str, str | None]:
@@ -155,10 +164,10 @@ def _strip_model_name(model: str | None) -> tuple[str, str | None]:
 
 def model_spec_for_name(model: str | None) -> ModelSpec | None:
     base, _ = _strip_model_name(model)
-    upstream_id = _ALIASES.get(base)
-    if not upstream_id:
+    public_id = _ALIASES.get(base)
+    if not public_id:
         return None
-    return _SPECS_BY_UPSTREAM.get(upstream_id)
+    return _SPECS_BY_PUBLIC_ID.get(public_id)
 
 
 def normalize_model_name(model: str | None, debug_model: str | None = None) -> str:
@@ -187,6 +196,9 @@ def allowed_efforts_for_model(model: str | None) -> frozenset[str]:
 
 def extract_reasoning_from_model_name(model: str | None) -> dict[str, str] | None:
     _, effort = _strip_model_name(model)
+    if not effort:
+        spec = model_spec_for_name(model)
+        effort = spec.preset_effort if spec is not None else None
     if not effort:
         return None
     return {"effort": effort}