AnthusAI · endymion · Apr 30, 2026 · Apr 29, 2026 · Apr 29, 2026
@@ -0,0 +1,18 @@
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+  "occurred_at": "2026-04-29T22:09:04.273Z",
+  "actor_id": "ryan",
+  "payload": {
+    "assignee": null,
+    "description": "Add first-class runtime support for reasoning_effort and verbosity so host applications can configure GPT-5-family controls for Tactus agents and LLM-backed models.\n\nDefinition of Done:\n- Runtime accepts reasoning_effort and verbosity.\n- Settings propagate through agents, LLMModelBackend, ModelPrimitive, and DSPy LM configuration.\n- Chat and Responses API shapes are covered by tests.\n- Targeted tests pass.",
+    "issue_type": "epic",
+    "labels": [],
+    "parent": null,
+    "priority": 2,
+    "status": "open",
+    "title": "Support runtime reasoning and verbosity controls"
+  }
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@@ -0,0 +1,18 @@
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+  "occurred_at": "2026-04-29T22:09:18.678Z",
+  "actor_id": "ryan",
+  "payload": {
+    "assignee": null,
+    "description": "Feature: Runtime GPT-5 controls\n\nScenario: Runtime configures agent model controls\nGiven a runtime has reasoning_effort and verbosity\nWhen an agent configures its DSPy LM\nThen both settings reach the LiteLLM request kwargs\n\nScenario: Runtime configures LLM-backed models\nGiven a ClassifyProcedure uses an LLMModel\nWhen runtime reasoning_effort and verbosity are set\nThen the LLM backend receives and forwards both settings\n\nScenario: Responses mode is used\nGiven model_type is responses\nWhen verbosity is set\nThen verbosity is sent as text.verbosity",
+    "issue_type": "story",
+    "labels": [],
+    "parent": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+    "priority": 2,
+    "status": "open",
+    "title": "Propagate GPT-5 controls through Tactus runtime"
+  }
+}
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+    "description": "Add runtime, agent, model, backend, and DSPy config support for reasoning_effort and verbosity.",
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+    "parent": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+    "priority": 2,
+    "status": "open",
+    "title": "Implement Tactus runtime GPT-5 controls"
+  }
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@@ -0,0 +1,18 @@
+{
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+  "event_id": "c288b592-34c2-4a83-ae21-8f2626641213",
+  "issue_id": "tcts-da6da4a2-7331-43cf-b3a5-0ad9be1fc89b",
+  "event_type": "issue_created",
+  "occurred_at": "2026-04-29T22:21:36.722Z",
+  "actor_id": "ryan",
+  "payload": {
+    "assignee": null,
+    "description": "Publish a Tactus package version containing runtime reasoning_effort and verbosity support so downstream repos can depend on it from package indexes.\n\nDefinition of Done:\n- Tactus feature branch is merged through the normal review path.\n- A new package version is published and installable.\n- Release notes mention TactusRuntime reasoning_effort and verbosity support.",
+    "issue_type": "task",
+    "labels": [],
+    "parent": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+    "priority": 2,
+    "status": "open",
+    "title": "Release Tactus package with GPT-5 controls"
+  }
+}
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+    "comment_id": "0cbe6e11-4712-4d2f-98dc-05396a6bfe5f"
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+  "actor_id": "ryan",
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@@ -0,0 +1,18 @@
+{
+  "id": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+  "title": "Support runtime reasoning and verbosity controls",
+  "description": "Add first-class runtime support for reasoning_effort and verbosity so host applications can configure GPT-5-family controls for Tactus agents and LLM-backed models.\n\nDefinition of Done:\n- Runtime accepts reasoning_effort and verbosity.\n- Settings propagate through agents, LLMModelBackend, ModelPrimitive, and DSPy LM configuration.\n- Chat and Responses API shapes are covered by tests.\n- Targeted tests pass.",
+  "type": "epic",
+  "status": "open",
+  "priority": 2,
+  "assignee": null,
+  "creator": null,
+  "parent": null,
+  "labels": [],
+  "dependencies": [],
+  "comments": [],
+  "created_at": "2026-04-29T22:09:04.273139Z",
+  "updated_at": "2026-04-29T22:09:04.273139Z",
+  "closed_at": null,
+  "custom": {}
+}
@@ -0,0 +1,40 @@
+{
+  "id": "tcts-9116f787-cc42-4a34-bdd5-5c4dbd57bac6",
+  "title": "Implement Tactus runtime GPT-5 controls",
+  "description": "Add runtime, agent, model, backend, and DSPy config support for reasoning_effort and verbosity.",
+  "type": "task",
+  "status": "closed",
+  "priority": 2,
+  "assignee": null,
+  "creator": null,
+  "parent": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+  "labels": [],
+  "dependencies": [],
+  "comments": [
+    {
+      "id": "9972f909-5549-4fc8-8708-3a9e7fa0482d",
+      "author": "ryan",
+      "text": "Started implementation on feature/tactus-score-reasoning-verbosity. Scope is runtime-level reasoning_effort and verbosity propagation through agent and LLM-backed model execution.",
+      "created_at": "2026-04-29T22:09:23.372707Z"
+    },
+    {
+      "id": "9d5b1e13-38ff-409d-b32e-a8a6e7644ea0",
+      "author": "ryan",
+      "text": "Implemented runtime support for reasoning_effort and verbosity across TactusRuntime, DSPy agent configuration, configure_lm/create_lm, LLMModelBackend, ModelPrimitive, immediate DSL stubs, and YAML validation. Focused tests pass. Full ruff and black pass. behave --tags=-skip passes. test-ci.sh is blocked locally because /usr/local/bin/python3 lacks Poetry; direct pytest tests/ is blocked by missing moto in the local environment.",
+      "created_at": "2026-04-29T22:21:30.856720Z"
+    },
+    {
+      "id": "0cbe6e11-4712-4d2f-98dc-05396a6bfe5f",
+      "author": "ryan",
+      "text": "Closing implementation task: code implementation complete. Added Tactus runtime fields, propagation through agents/models/configuration, validation, and focused coverage. Release follow-up filed as tcts-da6da4.",
+      "created_at": "2026-04-29T22:21:45.981225Z"
+    }
+  ],
+  "created_at": "2026-04-29T22:09:18.678440Z",
+  "updated_at": "2026-04-29T22:21:45.994208Z",
+  "closed_at": "2026-04-29T22:21:45.994208Z",
+  "custom": {
+    "project_label": "tcts",
+    "source": "shared"
+  }
+}
@@ -0,0 +1,18 @@
+{
+  "id": "tcts-d7500513-926c-4253-aef5-6349b2d81dd6",
+  "title": "Propagate GPT-5 controls through Tactus runtime",
+  "description": "Feature: Runtime GPT-5 controls\n\nScenario: Runtime configures agent model controls\nGiven a runtime has reasoning_effort and verbosity\nWhen an agent configures its DSPy LM\nThen both settings reach the LiteLLM request kwargs\n\nScenario: Runtime configures LLM-backed models\nGiven a ClassifyProcedure uses an LLMModel\nWhen runtime reasoning_effort and verbosity are set\nThen the LLM backend receives and forwards both settings\n\nScenario: Responses mode is used\nGiven model_type is responses\nWhen verbosity is set\nThen verbosity is sent as text.verbosity",
+  "type": "story",
+  "status": "open",
+  "priority": 2,
+  "assignee": null,
+  "creator": null,
+  "parent": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+  "labels": [],
+  "dependencies": [],
+  "comments": [],
+  "created_at": "2026-04-29T22:09:18.678297Z",
+  "updated_at": "2026-04-29T22:09:18.678297Z",
+  "closed_at": null,
+  "custom": {}
+}
@@ -0,0 +1,18 @@
+{
+  "id": "tcts-da6da4a2-7331-43cf-b3a5-0ad9be1fc89b",
+  "title": "Release Tactus package with GPT-5 controls",
+  "description": "Publish a Tactus package version containing runtime reasoning_effort and verbosity support so downstream repos can depend on it from package indexes.\n\nDefinition of Done:\n- Tactus feature branch is merged through the normal review path.\n- A new package version is published and installable.\n- Release notes mention TactusRuntime reasoning_effort and verbosity support.",
+  "type": "task",
+  "status": "open",
+  "priority": 2,
+  "assignee": null,
+  "creator": null,
+  "parent": "tcts-5f92fe70-3a01-465c-9982-687ec28025a3",
+  "labels": [],
+  "dependencies": [],
+  "comments": [],
+  "created_at": "2026-04-29T22:21:36.722540Z",
+  "updated_at": "2026-04-29T22:21:36.722540Z",
+  "closed_at": null,
+  "custom": {}
+}
@@ -26,6 +26,8 @@ def __init__(
         provider: Optional[str] = None,
         temperature: Optional[float] = None,
         max_tokens: Optional[int] = None,
+        reasoning_effort: Optional[str] = None,
+        verbosity: Optional[str] = None,
         mock_manager: Optional[Any] = None,
         registry: Optional[Any] = None,
         execution_context: Optional[Any] = None,
@@ -41,6 +43,8 @@ def __init__(
             temperature: Model temperature. None applies a model-specific default:
                 gpt-5 family omits temperature entirely; all others use 0.0.
             max_tokens: Maximum tokens for response
+            reasoning_effort: Optional GPT-5-family reasoning effort control
+            verbosity: Optional GPT-5-family response verbosity control
             mock_manager: Optional MockManager instance for testing
             registry: Optional Registry instance
             execution_context: Optional ExecutionContext (not used by internal Agent)
@@ -54,6 +58,8 @@ def __init__(
             temperature = default_temperature_for_model(model)
         self.temperature = temperature
         self.max_tokens = max_tokens
+        self.reasoning_effort = reasoning_effort
+        self.verbosity = verbosity
         self.mock_manager = mock_manager
         self.registry = registry
         # Note: execution_context not passed to Agent - we don't checkpoint internal turns
@@ -67,6 +73,8 @@ def __init__(
             provider=provider,
             temperature=temperature,
             max_tokens=max_tokens,
+            reasoning_effort=reasoning_effort,
+            verbosity=verbosity,
             mock_manager=mock_manager,
             registry=registry,
             execution_context=None,  # Don't checkpoint internal agent turns

@@ -626,6 +626,8 @@ def accept_config(config) -> ModelHandle:
                         config=config_dict,
                         context=_runtime_context.get("execution_context"),
                         mock_manager=_runtime_context.get("mock_manager"),
+                        reasoning_effort=_runtime_context.get("reasoning_effort"),
+                        verbosity=_runtime_context.get("verbosity"),
                     )
                     handle._set_primitive(primitive)
                     _runtime_context.setdefault("_created_models", {})[model_name] = primitive
@@ -2013,6 +2015,16 @@ def _process_agent_config(agent_name, config):
                 # Add log_handler from runtime context
                 if "log_handler" in _runtime_context:
                     agent_config["log_handler"] = _runtime_context["log_handler"]
+                if (
+                    _runtime_context.get("reasoning_effort") is not None
+                    and "reasoning_effort" not in agent_config
+                ):
+                    agent_config["reasoning_effort"] = _runtime_context["reasoning_effort"]
+                if (
+                    _runtime_context.get("verbosity") is not None
+                    and "verbosity" not in agent_config
+                ):
+                    agent_config["verbosity"] = _runtime_context["verbosity"]
 
                 agent_primitive = create_dspy_agent(
                     agent_name,
@@ -2199,6 +2211,16 @@ def accept_config(config):
                 # Add log_handler from runtime context
                 if "log_handler" in _runtime_context:
                     agent_config["log_handler"] = _runtime_context["log_handler"]
+                if (
+                    _runtime_context.get("reasoning_effort") is not None
+                    and "reasoning_effort" not in agent_config
+                ):
+                    agent_config["reasoning_effort"] = _runtime_context["reasoning_effort"]
+                if (
+                    _runtime_context.get("verbosity") is not None
+                    and "verbosity" not in agent_config
+                ):
+                    agent_config["verbosity"] = _runtime_context["verbosity"]
 
                 logger.debug(
                     f"[AGENT_CREATION] Creating agent immediately: name={temporary_agent_name}, has_log_handler={'log_handler' in agent_config}"