Bump version to 0.4.2

* Add GPT-5.3, GPT-5.4, and pro model capabilities

Add capability entries for gpt-5-pro (272k output, high-only reasoning),
gpt-5.2-pro, gpt-5.3, gpt-5.4 (1.05M context), and gpt-5.4-pro.

* Validate reasoning_effort against model capabilities

_apply_model_params now falls back to caps.default_reasoning_effort when
the requested value is not in caps.reasoning_effort_values. Prevents
sending unsupported effort levels to models like gpt-5-pro (high only).

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "turnstone"
-version = "0.4.1"
+version = "0.4.2"
 description = "Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation."
 readme = "README.md"
 license = "BUSL-1.1"

tests/test_providers.py

@@ -1103,6 +1103,43 @@ class TestOpenAIParameterGating:
         assert "temperature" not in kwargs
         assert "reasoning_effort" not in kwargs
 
+    def test_gpt5_pro_unsupported_effort_falls_back(self) -> None:
+        """GPT-5 pro only supports 'high'; unsupported values fall back to default."""
+        caps = self.provider.get_capabilities("gpt-5-pro")
+        kwargs: dict[str, Any] = {}
+        self.provider._apply_model_params(kwargs, caps, temperature=0.7, reasoning_effort="medium")
+        assert "temperature" not in kwargs
+        assert kwargs["reasoning_effort"] == "high"  # fell back to default
+
+    def test_gpt5_pro_supported_effort_passes_through(self) -> None:
+        """GPT-5 pro accepts 'high' directly."""
+        caps = self.provider.get_capabilities("gpt-5-pro")
+        kwargs: dict[str, Any] = {}
+        self.provider._apply_model_params(kwargs, caps, temperature=0.7, reasoning_effort="high")
+        assert kwargs["reasoning_effort"] == "high"
+
+    def test_gpt54_1m_context_and_effort(self) -> None:
+        """GPT-5.4: 1M context, temperature when effort=none, xhigh supported."""
+        caps = self.provider.get_capabilities("gpt-5.4")
+        assert caps.context_window == 1050000
+        kwargs: dict[str, Any] = {}
+        self.provider._apply_model_params(kwargs, caps, temperature=0.7, reasoning_effort="none")
+        assert kwargs["temperature"] == 0.7
+        assert "reasoning_effort" not in kwargs
+        kwargs2: dict[str, Any] = {}
+        self.provider._apply_model_params(kwargs2, caps, temperature=0.7, reasoning_effort="xhigh")
+        assert "temperature" not in kwargs2
+        assert kwargs2["reasoning_effort"] == "xhigh"
+
+    def test_gpt54_pro_no_temperature_always_reasoning(self) -> None:
+        """GPT-5.4 pro: no temperature, medium/high/xhigh only."""
+        caps = self.provider.get_capabilities("gpt-5.4-pro")
+        assert caps.context_window == 1050000
+        kwargs: dict[str, Any] = {}
+        self.provider._apply_model_params(kwargs, caps, temperature=0.7, reasoning_effort="low")
+        assert "temperature" not in kwargs
+        assert kwargs["reasoning_effort"] == "medium"  # fell back from unsupported "low"
+
 
 class TestAnthropicReasoningNone:
     """Verify 'none' effort disables thinking for manual-thinking models."""

turnstone/__init__.py

@@ -1,3 +1,3 @@
 """turnstone - Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation."""
 
-__version__ = "0.4.1"
+__version__ = "0.4.2"

turnstone/core/providers/_openai.py

@@ -45,6 +45,14 @@ _OPENAI_CAPABILITIES: dict[str, ModelCapabilities] = {
         reasoning_effort_values=("minimal", "low", "medium", "high"),
         default_reasoning_effort="medium",
     ),
+    # GPT-5 pro — high reasoning only, extended output
+    "gpt-5-pro": ModelCapabilities(
+        context_window=400000,
+        max_output_tokens=272000,
+        supports_temperature=False,
+        reasoning_effort_values=("high",),
+        default_reasoning_effort="high",
+    ),
     # GPT-5.1 — temperature OK when reasoning_effort=none (default)
     "gpt-5.1": ModelCapabilities(
         context_window=400000,
@@ -59,6 +67,36 @@ _OPENAI_CAPABILITIES: dict[str, ModelCapabilities] = {
         reasoning_effort_values=("none", "low", "medium", "high", "xhigh"),
         default_reasoning_effort="none",
     ),
+    # GPT-5.2 pro — always-reasoning variant
+    "gpt-5.2-pro": ModelCapabilities(
+        context_window=400000,
+        max_output_tokens=128000,
+        supports_temperature=False,
+        reasoning_effort_values=("medium", "high", "xhigh"),
+        default_reasoning_effort="medium",
+    ),
+    # GPT-5.3 — same capabilities as 5.2 (matches gpt-5.3-chat-latest, codex)
+    "gpt-5.3": ModelCapabilities(
+        context_window=400000,
+        max_output_tokens=128000,
+        reasoning_effort_values=("none", "low", "medium", "high", "xhigh"),
+        default_reasoning_effort="none",
+    ),
+    # GPT-5.4 — 1M context window
+    "gpt-5.4": ModelCapabilities(
+        context_window=1050000,
+        max_output_tokens=128000,
+        reasoning_effort_values=("none", "low", "medium", "high", "xhigh"),
+        default_reasoning_effort="none",
+    ),
+    # GPT-5.4 pro — always-reasoning, 1M context
+    "gpt-5.4-pro": ModelCapabilities(
+        context_window=1050000,
+        max_output_tokens=128000,
+        supports_temperature=False,
+        reasoning_effort_values=("medium", "high", "xhigh"),
+        default_reasoning_effort="medium",
+    ),
     # O-series reasoning models
     "o1": ModelCapabilities(
         context_window=200000,
@@ -145,7 +183,11 @@ class OpenAIProvider:
             else:
                 kwargs["temperature"] = temperature
         if caps.reasoning_effort_values and reasoning_effort and reasoning_effort != "none":
-            kwargs["reasoning_effort"] = reasoning_effort
+            # Validate against supported values; fall back to model default
+            if reasoning_effort in caps.reasoning_effort_values:
+                kwargs["reasoning_effort"] = reasoning_effort
+            elif caps.default_reasoning_effort and caps.default_reasoning_effort != "none":
+                kwargs["reasoning_effort"] = caps.default_reasoning_effort
 
     # -- web search ----------------------------------------------------------