chore: bump version to 1.3.1

- Add claude-opus-4-7 capability entry (1M ctx, 128K output, adaptive
  thinking, supports_temperature=False, thinking_display=summarized)
- Suppress temperature param for Opus 4.7 (API returns 400)
- Add thinking display opt-in via new ModelCapabilities.thinking_display
  field - Opus 4.7 omits thinking by default, always send summarized
- Add xhigh effort level to mapping and Opus 4.7 effort_levels
- Add xhigh/max options to skill template dropdowns in admin console
- Align reasoning effort label capitalization across all console dropdowns
- Update example config to reference claude-opus-4-7
- 10 new tests with regression guards for Opus 4.6 backward compat

Verified against live API: streaming and completion calls succeed.

(cherry picked from commit 30c89f46c6)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "turnstone"
-version = "1.3.0a3"
+version = "1.3.1"
 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

@@ -1200,6 +1200,31 @@ class TestAnthropicHelpers:
         assert caps.token_param == "max_tokens"
         assert caps.thinking_mode == "adaptive"
 
+    def test_capabilities_opus_4_7(self) -> None:
+        from turnstone.core.providers._anthropic import AnthropicProvider
+
+        provider = AnthropicProvider()
+        caps = provider.get_capabilities("claude-opus-4-7")
+        assert caps.context_window == 1000000
+        assert caps.max_output_tokens == 128000
+        assert caps.thinking_mode == "adaptive"
+        assert caps.supports_effort is True
+        assert "xhigh" in caps.effort_levels
+        assert caps.supports_temperature is False
+        assert caps.thinking_display == "summarized"
+        assert caps.supports_web_search is True
+        assert caps.supports_tool_search is True
+        assert caps.supports_vision is True
+
+    def test_capabilities_opus_4_7_dated(self) -> None:
+        from turnstone.core.providers._anthropic import AnthropicProvider
+
+        provider = AnthropicProvider()
+        caps = provider.get_capabilities("claude-opus-4-7-20260416")
+        assert caps.context_window == 1000000
+        assert caps.supports_temperature is False
+        assert caps.thinking_display == "summarized"
+
     def test_capabilities_lookup_unknown(self) -> None:
         from turnstone.core.providers._anthropic import AnthropicProvider
 
@@ -1910,6 +1935,18 @@ class TestAnthropicReasoningNone:
         assert "thinking" in result
         assert result["thinking"]["budget_tokens"] == 1024
 
+    def test_map_xhigh_effort(self) -> None:
+        from turnstone.core.providers._anthropic import _map_reasoning_to_effort
+
+        result = _map_reasoning_to_effort("xhigh", ("low", "medium", "high", "xhigh", "max"))
+        assert result == "xhigh"
+
+    def test_map_xhigh_rejected_by_model_without_it(self) -> None:
+        from turnstone.core.providers._anthropic import _map_reasoning_to_effort
+
+        result = _map_reasoning_to_effort("xhigh", ("low", "medium", "high", "max"))
+        assert result is None
+
 
 # ===========================================================================
 # TestWebSearch — provider-native web search
@@ -3068,6 +3105,103 @@ class TestAnthropicPromptCaching:
         assert "cache_control" in kwargs
         assert kwargs["cache_control"] == {"type": "ephemeral"}
 
+    def test_opus_4_7_no_temperature_in_kwargs(self) -> None:
+        """Opus 4.7 rejects temperature — must not appear in kwargs."""
+        caps = self.provider.get_capabilities("claude-opus-4-7")
+        kwargs = self.provider._build_thinking_and_kwargs(
+            caps=caps,
+            reasoning_effort="high",
+            extra_params=None,
+            max_tokens=8192,
+            temperature=0.5,
+            converted_msgs=[{"role": "user", "content": "hi"}],
+            system_prompt="",
+            model="claude-opus-4-7",
+            tools=None,
+        )
+        assert "temperature" not in kwargs
+
+    def test_opus_4_6_still_has_temperature(self) -> None:
+        """Opus 4.6 must still send temperature (regression guard)."""
+        caps = self.provider.get_capabilities("claude-opus-4-6")
+        kwargs = self.provider._build_thinking_and_kwargs(
+            caps=caps,
+            reasoning_effort="high",
+            extra_params=None,
+            max_tokens=8192,
+            temperature=0.5,
+            converted_msgs=[{"role": "user", "content": "hi"}],
+            system_prompt="",
+            model="claude-opus-4-6",
+            tools=None,
+        )
+        assert "temperature" in kwargs
+        assert kwargs["temperature"] == 1.0  # forced for adaptive thinking
+
+    def test_opus_4_7_thinking_display_summarized(self) -> None:
+        """Opus 4.7 must opt in to thinking display with 'summarized'."""
+        caps = self.provider.get_capabilities("claude-opus-4-7")
+        kwargs = self.provider._build_thinking_and_kwargs(
+            caps=caps,
+            reasoning_effort="high",
+            extra_params=None,
+            max_tokens=8192,
+            temperature=0.5,
+            converted_msgs=[{"role": "user", "content": "hi"}],
+            system_prompt="",
+            model="claude-opus-4-7",
+            tools=None,
+        )
+        assert kwargs["thinking"] == {"type": "adaptive", "display": "summarized"}
+
+    def test_opus_4_6_thinking_no_display(self) -> None:
+        """Opus 4.6 adaptive thinking should not include display key."""
+        caps = self.provider.get_capabilities("claude-opus-4-6")
+        kwargs = self.provider._build_thinking_and_kwargs(
+            caps=caps,
+            reasoning_effort="high",
+            extra_params=None,
+            max_tokens=8192,
+            temperature=0.5,
+            converted_msgs=[{"role": "user", "content": "hi"}],
+            system_prompt="",
+            model="claude-opus-4-6",
+            tools=None,
+        )
+        assert kwargs["thinking"] == {"type": "adaptive"}
+
+    def test_opus_4_7_xhigh_effort(self) -> None:
+        """Opus 4.7 xhigh effort passes through to output_config."""
+        caps = self.provider.get_capabilities("claude-opus-4-7")
+        kwargs = self.provider._build_thinking_and_kwargs(
+            caps=caps,
+            reasoning_effort="xhigh",
+            extra_params=None,
+            max_tokens=8192,
+            temperature=0.5,
+            converted_msgs=[{"role": "user", "content": "hi"}],
+            system_prompt="",
+            model="claude-opus-4-7",
+            tools=None,
+        )
+        assert kwargs["output_config"] == {"effort": "xhigh"}
+
+    def test_xhigh_effort_not_applied_to_opus_4_6(self) -> None:
+        """xhigh is not a valid effort level for Opus 4.6 — should be ignored."""
+        caps = self.provider.get_capabilities("claude-opus-4-6")
+        kwargs = self.provider._build_thinking_and_kwargs(
+            caps=caps,
+            reasoning_effort="xhigh",
+            extra_params=None,
+            max_tokens=8192,
+            temperature=0.5,
+            converted_msgs=[{"role": "user", "content": "hi"}],
+            system_prompt="",
+            model="claude-opus-4-6",
+            tools=None,
+        )
+        assert "output_config" not in kwargs
+
     @patch("turnstone.core.providers._anthropic._ensure_anthropic")
     def test_streaming_message_start_cache_metrics(self, mock_ensure: MagicMock) -> None:
         """Cache metrics from message_start flow into UsageInfo."""

turnstone.example.toml

@@ -39,7 +39,7 @@
 # supports_web_search = false
 #
 # [models.claude]
-# name = "claude-opus-4-6"
+# name = "claude-opus-4-7"
 # provider = "anthropic"
 
 # --- Database (turnstone, node, console) ---

turnstone/__init__.py

@@ -1,3 +1,3 @@
 """turnstone - Multi-node AI orchestration platform with tool use, agent routing, and cluster simulation."""
 
-__version__ = "1.3.0a3"
+__version__ = "1.3.1"

turnstone/console/static/index.html

@@ -1280,6 +1280,8 @@ window.TURNSTONE_KB_SHORTCUTS = [
             <option value="low">Low</option>
             <option value="medium">Medium</option>
             <option value="high">High</option>
+            <option value="xhigh">Extra High</option>
+            <option value="max">Max</option>
           </select>
         </div>
         <div><label for="csk-max-tokens">Max Tokens</label><input id="csk-max-tokens" type="number" min="1" placeholder="System default"></div>
@@ -1399,6 +1401,8 @@ window.TURNSTONE_KB_SHORTCUTS = [
             <option value="low">Low</option>
             <option value="medium">Medium</option>
             <option value="high">High</option>
+            <option value="xhigh">Extra High</option>
+            <option value="max">Max</option>
           </select>
         </div>
         <div><label for="esk-max-tokens">Max Tokens</label><input id="esk-max-tokens" type="number" min="1" placeholder="System default"></div>
@@ -1559,13 +1563,13 @@ window.TURNSTONE_KB_SHORTCUTS = [
     <label for="model-reasoning-effort">Reasoning Effort <span style="font-weight:400;text-transform:none">(empty = use global default)</span></label>
     <select id="model-reasoning-effort">
       <option value="">Global default</option>
-      <option value="none">none</option>
-      <option value="minimal">minimal</option>
-      <option value="low">low</option>
-      <option value="medium">medium</option>
-      <option value="high">high</option>
-      <option value="xhigh">xhigh</option>
-      <option value="max">max</option>
+      <option value="none">None</option>
+      <option value="minimal">Minimal</option>
+      <option value="low">Low</option>
+      <option value="medium">Medium</option>
+      <option value="high">High</option>
+      <option value="xhigh">Extra High</option>
+      <option value="max">Max</option>
     </select>
     <label for="model-capabilities">Capabilities <span style="font-weight:400;text-transform:none">(JSON)</span></label>
     <textarea id="model-capabilities" rows="3" placeholder='{"supports_vision": true}' style="font-family:var(--font-mono);font-size:11px"></textarea>

turnstone/core/providers/_anthropic.py

@@ -83,6 +83,19 @@ _ANTHROPIC_DEFAULT = ModelCapabilities(
 )
 
 _ANTHROPIC_CAPABILITIES: dict[str, ModelCapabilities] = {
+    "claude-opus-4-7": ModelCapabilities(
+        context_window=1000000,
+        max_output_tokens=128000,
+        token_param="max_tokens",
+        thinking_mode="adaptive",
+        supports_effort=True,
+        effort_levels=("low", "medium", "high", "xhigh", "max"),
+        supports_web_search=True,
+        supports_tool_search=True,
+        supports_vision=True,
+        supports_temperature=False,
+        thinking_display="summarized",
+    ),
     "claude-opus-4-6": ModelCapabilities(
         context_window=1000000,
         max_output_tokens=128000,
@@ -139,7 +152,7 @@ def _map_reasoning_to_effort(
     valid_levels: tuple[str, ...],
 ) -> str | None:
     """Map turnstone reasoning_effort to Anthropic effort parameter."""
-    mapping = {"low": "low", "medium": "medium", "high": "high", "max": "max"}
+    mapping = {"low": "low", "medium": "medium", "high": "high", "xhigh": "xhigh", "max": "max"}
     effort = mapping.get(reasoning_effort)
     if effort and effort in valid_levels:
         return effort
@@ -226,8 +239,12 @@ class AnthropicProvider:
         """Build the full kwargs dict with thinking mode and effort params."""
         thinking_params: dict[str, Any] = {}
         if caps.thinking_mode == "adaptive":
-            thinking_params = {"thinking": {"type": "adaptive"}}
-            temperature = 1.0  # Required with thinking
+            thinking_dict: dict[str, Any] = {"type": "adaptive"}
+            if caps.thinking_display:
+                thinking_dict["display"] = caps.thinking_display
+            thinking_params = {"thinking": thinking_dict}
+            if caps.supports_temperature:
+                temperature = 1.0  # Required with thinking
         elif caps.thinking_mode == "manual":
             thinking_params = self._reasoning_params(reasoning_effort, extra_params, max_tokens)
             if thinking_params:
@@ -237,12 +254,13 @@ class AnthropicProvider:
             "model": model,
             "messages": converted_msgs,
             caps.token_param: max_tokens,
-            "temperature": temperature,
             # Automatic prompt caching — the API places the cache breakpoint
             # on the last cacheable block and advances it as conversation grows.
             # 90% input cost reduction on cache hits; 1.25x write on first turn.
             "cache_control": {"type": "ephemeral"},
         }
+        if caps.supports_temperature:
+            kwargs["temperature"] = temperature
         if system_prompt:
             kwargs["system"] = system_prompt
         if tools:
@@ -252,7 +270,7 @@ class AnthropicProvider:
             kwargs["tools"] = anthropic_tools
         kwargs.update(thinking_params)
 
-        # Effort param for models that support it (Opus 4.6, Sonnet 4.6, Opus 4.5)
+        # Effort param for models that support it (Opus 4.7, Opus 4.6, Sonnet 4.6, Opus 4.5)
         if caps.supports_effort and reasoning_effort:
             effort = _map_reasoning_to_effort(reasoning_effort, caps.effort_levels)
             if effort:

turnstone/core/providers/_protocol.py

@@ -82,6 +82,7 @@ class ModelCapabilities:
     supports_tool_search: bool = False
     supports_vision: bool = False
     supports_tool_advisories: bool = True
+    thinking_display: str = ""  # "summarized" for models that omit thinking by default
 
 
 def _lookup_capabilities(

uv.lock

@@ -2506,7 +2506,7 @@ wheels = [
 
 [[package]]
 name = "turnstone"
-version = "1.3.0a3"
+version = "1.3.1"
 source = { editable = "." }
 dependencies = [
     { name = "alembic" },