diff --git a/pyproject.toml b/pyproject.toml
index 5bac96d..2336c45 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,14 +15,21 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
     "Operating System :: Microsoft :: Windows",
 ]
-version = "0.0.2rc16"
+version = "0.0.2rc17"
 readme = {file = "README.md", content-type = "text/markdown"}
 
 dependencies = [
     "aind_behavior_services>=0.13.2",
     "pydantic-settings",
+    "aind-behavior-dynamic-foraging-curricula"
 ]
 
+[tool.uv.sources]
+aind-behavior-dynamic-foraging-curricula = { workspace = true }
+
+[tool.uv.workspace]
+members = ["workspaces/*"]
+
 [project.urls]
 Documentation = "https://allenneuraldynamics.github.io/Aind.Behavior.DynamicForaging/"
 Repository = "https://github.com/AllenNeuralDynamics/Aind.Behavior.DynamicForaging/"
diff --git a/schema/aind_behavior_dynamic_foraging.json b/schema/aind_behavior_dynamic_foraging.json
index 588550b..295857a 100644
--- a/schema/aind_behavior_dynamic_foraging.json
+++ b/schema/aind_behavior_dynamic_foraging.json
@@ -9,8 +9,8 @@
           "type": "string"
         },
         "version": {
-          "const": "0.0.2-rc16",
-          "default": "0.0.2-rc16",
+          "const": "0.0.2-rc17",
+          "default": "0.0.2-rc17",
           "title": "Version",
           "type": "string"
         },
@@ -152,8 +152,8 @@
           "description": "Parameters of the task logic"
         },
         "version": {
-          "const": "0.0.2-rc16",
-          "default": "0.0.2-rc16",
+          "const": "0.0.2-rc17",
+          "default": "0.0.2-rc17",
           "title": "Version",
           "type": "string"
         },
@@ -3165,7 +3165,7 @@
               "rate": 1.0
             },
             "truncation_parameters": {
-              "max": 2.0,
+              "max": 1.0,
               "min": 1.0,
               "truncation_mode": "exclude"
             },
diff --git a/src/Extensions/AindBehaviorDynamicForaging.Generated.cs b/src/Extensions/AindBehaviorDynamicForaging.Generated.cs
index 7b61731..6d548a8 100644
--- a/src/Extensions/AindBehaviorDynamicForaging.Generated.cs
+++ b/src/Extensions/AindBehaviorDynamicForaging.Generated.cs
@@ -50,7 +50,7 @@ public partial class AindDynamicForagingRig
         public AindDynamicForagingRig()
         {
             _aindBehaviorServicesPkgVersion = "0.13.2";
-            _version = "0.0.2-rc16";
+            _version = "0.0.2-rc17";
             _triggeredCameraController = new CameraControllerSpinnakerCamera();
             _harpBehavior = new HarpBehavior();
             _harpClockGenerator = new HarpWhiteRabbit();
@@ -433,7 +433,7 @@ public AindDynamicForagingTaskLogic()
             _name = "AindDynamicForaging";
             _description = "";
             _taskParameters = new AindDynamicForagingTaskParameters();
-            _version = "0.0.2-rc16";
+            _version = "0.0.2-rc17";
         }
     
         protected AindDynamicForagingTaskLogic(AindDynamicForagingTaskLogic other)
diff --git a/src/Extensions/HarpBehavior.bonsai b/src/Extensions/HarpBehavior.bonsai
index a0623e7..90b1385 100644
--- a/src/Extensions/HarpBehavior.bonsai
+++ b/src/Extensions/HarpBehavior.bonsai
@@ -19,7 +19,7 @@
           <harp:OperationLed>On</harp:OperationLed>
           <harp:DumpRegisters>true</harp:DumpRegisters>
           <harp:VisualIndicators>On</harp:VisualIndicators>
-          <harp:Heartbeat>Disabled</harp:Heartbeat>
+          <harp:Heartbeat>Enabled</harp:Heartbeat>
           <harp:IgnoreErrors>false</harp:IgnoreErrors>
           <harp:PortName>COMx</harp:PortName>
         </Combinator>
diff --git a/src/Extensions/Logging.bonsai b/src/Extensions/Logging.bonsai
index 5a56970..26f8a32 100644
--- a/src/Extensions/Logging.bonsai
+++ b/src/Extensions/Logging.bonsai
@@ -771,62 +771,48 @@
                           <Modality xsi:nil="true" />
                         </Expression>
                         <Expression xsi:type="WorkflowOutput" />
-                        <Expression xsi:type="GroupWorkflow">
-                          <Name>DumpMetadata</Name>
+                        <Expression xsi:type="rx:Defer">
+                          <Name>AdditionalSoftwareEvents</Name>
                           <Workflow>
                             <Nodes>
                               <Expression xsi:type="SubscribeSubject">
-                                <Name>RngSeedValue</Name>
+                                <Name>ManipulatorPosition</Name>
+                              </Expression>
+                              <Expression xsi:type="Combinator">
+                                <Combinator xsi:type="rx:Take">
+                                  <rx:Count>1</rx:Count>
+                                </Combinator>
                               </Expression>
                               <Expression xsi:type="Combinator">
                                 <Combinator xsi:type="p1:CreateSoftwareEvent">
-                                  <p1:EventName>RngSeed</p1:EventName>
+                                  <p1:EventName>InitialManipulatorPosition</p1:EventName>
                                 </Combinator>
                               </Expression>
                               <Expression xsi:type="MulticastSubject">
                                 <Name>SoftwareEvent</Name>
                               </Expression>
                               <Expression xsi:type="SubscribeSubject">
-                                <Name>EndExperiment</Name>
-                              </Expression>
-                              <Expression xsi:type="Combinator">
-                                <Combinator xsi:type="StringProperty">
-                                  <Value>ExperimentCompleted</Value>
-                                </Combinator>
+                                <Name>RngSeedValue</Name>
                               </Expression>
                               <Expression xsi:type="Combinator">
                                 <Combinator xsi:type="p1:CreateSoftwareEvent">
-                                  <p1:EventName>EndSession</p1:EventName>
+                                  <p1:EventName>RngSeed</p1:EventName>
                                 </Combinator>
                               </Expression>
                               <Expression xsi:type="MulticastSubject">
                                 <Name>SoftwareEvent</Name>
                               </Expression>
-                            </Nodes>
-                            <Edges>
-                              <Edge From="0" To="1" Label="Source1" />
-                              <Edge From="1" To="2" Label="Source1" />
-                              <Edge From="3" To="4" Label="Source1" />
-                              <Edge From="4" To="5" Label="Source1" />
-                              <Edge From="5" To="6" Label="Source1" />
-                            </Edges>
-                          </Workflow>
-                        </Expression>
-                        <Expression xsi:type="GroupWorkflow">
-                          <Name>AdditionalSoftwareEvents</Name>
-                          <Workflow>
-                            <Nodes>
                               <Expression xsi:type="SubscribeSubject">
-                                <Name>ManipulatorPosition</Name>
+                                <Name>EndExperiment</Name>
                               </Expression>
                               <Expression xsi:type="Combinator">
-                                <Combinator xsi:type="rx:Take">
-                                  <rx:Count>1</rx:Count>
+                                <Combinator xsi:type="StringProperty">
+                                  <Value>ExperimentCompleted</Value>
                                 </Combinator>
                               </Expression>
                               <Expression xsi:type="Combinator">
                                 <Combinator xsi:type="p1:CreateSoftwareEvent">
-                                  <p1:EventName>InitialManipulatorPosition</p1:EventName>
+                                  <p1:EventName>EndSession</p1:EventName>
                                 </Combinator>
                               </Expression>
                               <Expression xsi:type="MulticastSubject">
@@ -837,9 +823,23 @@
                               <Edge From="0" To="1" Label="Source1" />
                               <Edge From="1" To="2" Label="Source1" />
                               <Edge From="2" To="3" Label="Source1" />
+                              <Edge From="4" To="5" Label="Source1" />
+                              <Edge From="5" To="6" Label="Source1" />
+                              <Edge From="7" To="8" Label="Source1" />
+                              <Edge From="8" To="9" Label="Source1" />
+                              <Edge From="9" To="10" Label="Source1" />
                             </Edges>
                           </Workflow>
                         </Expression>
+                        <Expression xsi:type="Annotation">
+                          <Name>Wait for logger to initialize</Name>
+                          <Text><![CDATA[]]></Text>
+                        </Expression>
+                        <Expression xsi:type="Combinator">
+                          <Combinator xsi:type="rx:DelaySubscription">
+                            <rx:DueTime>PT0.5S</rx:DueTime>
+                          </Combinator>
+                        </Expression>
                       </Nodes>
                       <Edges>
                         <Edge From="0" To="2" Label="Source1" />
@@ -850,6 +850,8 @@
                         <Edge From="5" To="6" Label="Source1" />
                         <Edge From="6" To="7" Label="Source2" />
                         <Edge From="7" To="8" Label="Source1" />
+                        <Edge From="9" To="11" Label="Source1" />
+                        <Edge From="10" To="11" Label="Source2" />
                       </Edges>
                     </Workflow>
                   </Expression>
diff --git a/src/Extensions/TaskEngine.bonsai b/src/Extensions/TaskEngine.bonsai
index 3043982..5157a6f 100644
--- a/src/Extensions/TaskEngine.bonsai
+++ b/src/Extensions/TaskEngine.bonsai
@@ -472,21 +472,21 @@
                         <Expression xsi:type="SubscribeSubject">
                           <Name>ThisTrial</Name>
                         </Expression>
-                        <Expression xsi:type="MemberSelector">
-                          <Selector>EnableFastRetract</Selector>
-                        </Expression>
                         <Expression xsi:type="Combinator">
                           <Combinator xsi:type="rx:WithLatestFrom" />
                         </Expression>
                         <Expression xsi:type="MemberSelector">
                           <Selector>Item2</Selector>
                         </Expression>
+                        <Expression xsi:type="MemberSelector">
+                          <Selector>EnableFastRetract</Selector>
+                        </Expression>
                         <Expression xsi:type="WorkflowOutput" />
                       </Nodes>
                       <Edges>
-                        <Edge From="0" To="3" Label="Source1" />
-                        <Edge From="1" To="2" Label="Source1" />
-                        <Edge From="2" To="3" Label="Source2" />
+                        <Edge From="0" To="2" Label="Source1" />
+                        <Edge From="1" To="2" Label="Source2" />
+                        <Edge From="2" To="3" Label="Source1" />
                         <Edge From="3" To="4" Label="Source1" />
                         <Edge From="4" To="5" Label="Source1" />
                       </Edges>
@@ -600,22 +600,22 @@
                         <Expression xsi:type="SubscribeSubject">
                           <Name>ThisTrial</Name>
                         </Expression>
-                        <Expression xsi:type="MemberSelector">
-                          <Selector>EnableFastRetract</Selector>
-                        </Expression>
                         <Expression xsi:type="Combinator">
                           <Combinator xsi:type="rx:WithLatestFrom" />
                         </Expression>
                         <Expression xsi:type="MemberSelector">
                           <Selector>Item2</Selector>
                         </Expression>
+                        <Expression xsi:type="MemberSelector">
+                          <Selector>EnableFastRetract</Selector>
+                        </Expression>
                         <Expression xsi:type="BitwiseNot" />
                         <Expression xsi:type="WorkflowOutput" />
                       </Nodes>
                       <Edges>
-                        <Edge From="0" To="3" Label="Source1" />
-                        <Edge From="1" To="2" Label="Source1" />
-                        <Edge From="2" To="3" Label="Source2" />
+                        <Edge From="0" To="2" Label="Source1" />
+                        <Edge From="1" To="2" Label="Source2" />
+                        <Edge From="2" To="3" Label="Source1" />
                         <Edge From="3" To="4" Label="Source1" />
                         <Edge From="4" To="5" Label="Source1" />
                         <Edge From="5" To="6" Label="Source1" />
@@ -693,15 +693,15 @@
                         <Expression xsi:type="SubscribeSubject">
                           <Name>ThisTrial</Name>
                         </Expression>
-                        <Expression xsi:type="MemberSelector">
-                          <Selector>SecondaryReinforcer</Selector>
-                        </Expression>
                         <Expression xsi:type="Combinator">
                           <Combinator xsi:type="rx:WithLatestFrom" />
                         </Expression>
                         <Expression xsi:type="MemberSelector">
                           <Selector>Item2</Selector>
                         </Expression>
+                        <Expression xsi:type="MemberSelector">
+                          <Selector>SecondaryReinforcer</Selector>
+                        </Expression>
                         <Expression xsi:type="scr:ExpressionTransform">
                           <scr:Name>IsNotNull</scr:Name>
                           <scr:Expression>it != null</scr:Expression>
@@ -709,9 +709,9 @@
                         <Expression xsi:type="WorkflowOutput" />
                       </Nodes>
                       <Edges>
-                        <Edge From="0" To="3" Label="Source1" />
-                        <Edge From="1" To="2" Label="Source1" />
-                        <Edge From="2" To="3" Label="Source2" />
+                        <Edge From="0" To="2" Label="Source1" />
+                        <Edge From="1" To="2" Label="Source2" />
+                        <Edge From="2" To="3" Label="Source1" />
                         <Edge From="3" To="4" Label="Source1" />
                         <Edge From="4" To="5" Label="Source1" />
                         <Edge From="5" To="6" Label="Source1" />
@@ -787,15 +787,15 @@
                         <Expression xsi:type="SubscribeSubject">
                           <Name>ThisTrial</Name>
                         </Expression>
-                        <Expression xsi:type="MemberSelector">
-                          <Selector>SecondaryReinforcer</Selector>
-                        </Expression>
                         <Expression xsi:type="Combinator">
                           <Combinator xsi:type="rx:WithLatestFrom" />
                         </Expression>
                         <Expression xsi:type="MemberSelector">
                           <Selector>Item2</Selector>
                         </Expression>
+                        <Expression xsi:type="MemberSelector">
+                          <Selector>SecondaryReinforcer</Selector>
+                        </Expression>
                         <Expression xsi:type="scr:ExpressionTransform">
                           <scr:Name>IsNull</scr:Name>
                           <scr:Expression>it == null</scr:Expression>
@@ -803,9 +803,9 @@
                         <Expression xsi:type="WorkflowOutput" />
                       </Nodes>
                       <Edges>
-                        <Edge From="0" To="3" Label="Source1" />
-                        <Edge From="1" To="2" Label="Source1" />
-                        <Edge From="2" To="3" Label="Source2" />
+                        <Edge From="0" To="2" Label="Source1" />
+                        <Edge From="1" To="2" Label="Source2" />
+                        <Edge From="2" To="3" Label="Source1" />
                         <Edge From="3" To="4" Label="Source1" />
                         <Edge From="4" To="5" Label="Source1" />
                         <Edge From="5" To="6" Label="Source1" />
@@ -984,36 +984,6 @@
                         <Expression xsi:type="SubscribeSubject">
                           <Name>ThisTrial</Name>
                         </Expression>
-                        <Expression xsi:type="MemberSelector">
-                          <Selector>InterTrialIntervalDuration</Selector>
-                        </Expression>
-                        <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="p3:TimeSpanFromSeconds" />
-                        </Expression>
-                        <Expression xsi:type="PropertyMapping">
-                          <PropertyMappings>
-                            <Property Name="DueTime" />
-                          </PropertyMappings>
-                        </Expression>
-                        <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="rx:Timer">
-                            <rx:DueTime>PT0S</rx:DueTime>
-                          </Combinator>
-                        </Expression>
-                        <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="py:GetRuntime" />
-                        </Expression>
-                        <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="py:Get">
-                            <py:VariableName>trial_generator</py:VariableName>
-                          </Combinator>
-                        </Expression>
-                        <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="py:ObserveOnGIL" />
-                        </Expression>
-                        <Expression xsi:type="SubscribeSubject">
-                          <Name>ThisTrial</Name>
-                        </Expression>
                         <Expression xsi:type="PropertyMapping">
                           <PropertyMappings>
                             <Property Name="Trial" />
@@ -1053,22 +1023,34 @@
                         <Expression xsi:type="MulticastSubject">
                           <Name>GlobalTrialOutcome</Name>
                         </Expression>
-                        <Expression xsi:type="IncludeWorkflow" Path="Extensions\InlineSoftwareEvent.bonsai">
-                          <EventName>TrialOutcome</EventName>
+                        <Expression xsi:type="rx:AsyncSubject">
+                          <Name>thisTrialOutcome</Name>
+                        </Expression>
+                        <Expression xsi:type="SubscribeSubject">
+                          <Name>ThisTrial</Name>
                         </Expression>
                         <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="rx:Zip" />
+                          <Combinator xsi:type="rx:Take">
+                            <rx:Count>1</rx:Count>
+                          </Combinator>
+                        </Expression>
+                        <Expression xsi:type="MemberSelector">
+                          <Selector>InterTrialIntervalDuration</Selector>
                         </Expression>
                         <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="py:ObserveOnGIL" />
+                          <Combinator xsi:type="p3:TimeSpanFromSeconds" />
+                        </Expression>
+                        <Expression xsi:type="PropertyMapping">
+                          <PropertyMappings>
+                            <Property Name="DueTime" />
+                          </PropertyMappings>
                         </Expression>
                         <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="p2:InvokeMethod">
-                            <p2:MethodName>update</p2:MethodName>
-                            <p2:AttemptSerialization>true</p2:AttemptSerialization>
+                          <Combinator xsi:type="rx:Timer">
+                            <rx:DueTime>PT5S</rx:DueTime>
                           </Combinator>
                         </Expression>
-                        <Expression xsi:type="rx:SelectMany">
+                        <Expression xsi:type="GroupWorkflow">
                           <Name>SampleNextTrial</Name>
                           <Workflow>
                             <Nodes>
@@ -1080,24 +1062,72 @@
                                   <py:VariableName>trial_generator</py:VariableName>
                                 </Combinator>
                               </Expression>
+                              <Expression xsi:type="Combinator">
+                                <Combinator xsi:type="py:ObserveOnGIL" />
+                              </Expression>
+                              <Expression xsi:type="SubscribeSubject">
+                                <Name>thisTrialOutcome</Name>
+                              </Expression>
+                              <Expression xsi:type="IncludeWorkflow" Path="Extensions\InlineSoftwareEvent.bonsai">
+                                <EventName>TrialOutcome</EventName>
+                              </Expression>
+                              <Expression xsi:type="Combinator">
+                                <Combinator xsi:type="rx:Zip" />
+                              </Expression>
+                              <Expression xsi:type="Combinator">
+                                <Combinator xsi:type="py:ObserveOnGIL" />
+                              </Expression>
                               <Expression xsi:type="Combinator">
                                 <Combinator xsi:type="p2:InvokeMethod">
-                                  <p2:MethodName>next</p2:MethodName>
+                                  <p2:MethodName>update</p2:MethodName>
                                   <p2:AttemptSerialization>true</p2:AttemptSerialization>
                                 </Combinator>
                               </Expression>
-                              <Expression xsi:type="Combinator">
-                                <Combinator xsi:type="p2:DeserializeFromPyObject">
-                                  <p2:Type xsi:type="TypeMapping" TypeArguments="p1:Trial" />
-                                </Combinator>
+                              <Expression xsi:type="rx:SelectMany">
+                                <Name>SampleNextTrial</Name>
+                                <Workflow>
+                                  <Nodes>
+                                    <Expression xsi:type="Combinator">
+                                      <Combinator xsi:type="py:GetRuntime" />
+                                    </Expression>
+                                    <Expression xsi:type="Combinator">
+                                      <Combinator xsi:type="py:Get">
+                                        <py:VariableName>trial_generator</py:VariableName>
+                                      </Combinator>
+                                    </Expression>
+                                    <Expression xsi:type="Combinator">
+                                      <Combinator xsi:type="p2:InvokeMethod">
+                                        <p2:MethodName>next</p2:MethodName>
+                                        <p2:AttemptSerialization>true</p2:AttemptSerialization>
+                                      </Combinator>
+                                    </Expression>
+                                    <Expression xsi:type="Combinator">
+                                      <Combinator xsi:type="p2:DeserializeFromPyObject">
+                                        <p2:Type xsi:type="TypeMapping" TypeArguments="p1:Trial" />
+                                      </Combinator>
+                                    </Expression>
+                                    <Expression xsi:type="WorkflowOutput" />
+                                  </Nodes>
+                                  <Edges>
+                                    <Edge From="0" To="1" Label="Source1" />
+                                    <Edge From="1" To="2" Label="Source1" />
+                                    <Edge From="2" To="3" Label="Source1" />
+                                    <Edge From="3" To="4" Label="Source1" />
+                                  </Edges>
+                                </Workflow>
                               </Expression>
                               <Expression xsi:type="WorkflowOutput" />
                             </Nodes>
                             <Edges>
                               <Edge From="0" To="1" Label="Source1" />
                               <Edge From="1" To="2" Label="Source1" />
-                              <Edge From="2" To="3" Label="Source1" />
+                              <Edge From="2" To="5" Label="Source1" />
                               <Edge From="3" To="4" Label="Source1" />
+                              <Edge From="4" To="5" Label="Source2" />
+                              <Edge From="5" To="6" Label="Source1" />
+                              <Edge From="6" To="7" Label="Source1" />
+                              <Edge From="7" To="8" Label="Source1" />
+                              <Edge From="8" To="9" Label="Source1" />
                             </Edges>
                           </Workflow>
                         </Expression>
@@ -1154,9 +1184,6 @@
                             </Edges>
                           </Workflow>
                         </Expression>
-                        <Expression xsi:type="MulticastSubject">
-                          <Name>ThisTrial</Name>
-                        </Expression>
                         <Expression xsi:type="rx:Sink">
                           <Name>MoveSpout</Name>
                           <Workflow>
@@ -1181,21 +1208,15 @@
                             </Edges>
                           </Workflow>
                         </Expression>
-                        <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="rx:Zip" />
-                        </Expression>
-                        <Expression xsi:type="MemberSelector">
-                          <Selector>Item2</Selector>
-                        </Expression>
                         <Expression xsi:type="SubscribeSubject">
-                          <Name>GlobalTrialOutcome</Name>
+                          <Name>thisTrialOutcome</Name>
                         </Expression>
                         <Expression xsi:type="Combinator">
-                          <Combinator xsi:type="rx:WithLatestFrom" />
+                          <Combinator xsi:type="rx:Zip" />
                         </Expression>
                         <Expression xsi:type="scr:ExpressionTransform">
                           <scr:Name>Label</scr:Name>
-                          <scr:Expression>new( Item1 as NextTrial, Item2 as ThisTrialOutcome)</scr:Expression>
+                          <scr:Expression>new(Item2 as NextTrial, Item3 as ThisTrialOutcome)</scr:Expression>
                         </Expression>
                         <Expression xsi:type="Combinator">
                           <Combinator xsi:type="rx:Take">
@@ -1220,45 +1241,36 @@
                       <Edges>
                         <Edge From="0" To="1" Label="Source1" />
                         <Edge From="2" To="3" Label="Source1" />
-                        <Edge From="3" To="4" Label="Source1" />
+                        <Edge From="3" To="11" Label="Source1" />
                         <Edge From="4" To="5" Label="Source1" />
                         <Edge From="5" To="6" Label="Source1" />
-                        <Edge From="6" To="33" Label="Source1" />
-                        <Edge From="7" To="8" Label="Source1" />
+                        <Edge From="6" To="7" Label="Source1" />
+                        <Edge From="7" To="11" Label="Source2" />
                         <Edge From="8" To="9" Label="Source1" />
-                        <Edge From="9" To="22" Label="Source1" />
-                        <Edge From="10" To="11" Label="Source1" />
-                        <Edge From="11" To="19" Label="Source1" />
+                        <Edge From="9" To="10" Label="Source1" />
+                        <Edge From="10" To="11" Label="Source3" />
+                        <Edge From="11" To="12" Label="Source1" />
                         <Edge From="12" To="13" Label="Source1" />
-                        <Edge From="13" To="14" Label="Source1" />
                         <Edge From="14" To="15" Label="Source1" />
-                        <Edge From="15" To="19" Label="Source2" />
+                        <Edge From="15" To="16" Label="Source1" />
                         <Edge From="16" To="17" Label="Source1" />
                         <Edge From="17" To="18" Label="Source1" />
-                        <Edge From="18" To="19" Label="Source3" />
-                        <Edge From="19" To="20" Label="Source1" />
-                        <Edge From="20" To="21" Label="Source1" />
-                        <Edge From="21" To="22" Label="Source2" />
-                        <Edge From="22" To="23" Label="Source1" />
+                        <Edge From="18" To="19" Label="Source1" />
+                        <Edge From="19" To="28" Label="Source1" />
+                        <Edge From="20" To="23" Label="Source1" />
+                        <Edge From="21" To="22" Label="Source1" />
+                        <Edge From="22" To="23" Label="Source2" />
                         <Edge From="23" To="24" Label="Source1" />
                         <Edge From="24" To="25" Label="Source1" />
-                        <Edge From="25" To="28" Label="Source1" />
-                        <Edge From="26" To="27" Label="Source1" />
-                        <Edge From="27" To="28" Label="Source2" />
+                        <Edge From="25" To="26" Label="Source1" />
+                        <Edge From="26" To="28" Label="Source2" />
+                        <Edge From="27" To="28" Label="Source3" />
                         <Edge From="28" To="29" Label="Source1" />
                         <Edge From="29" To="30" Label="Source1" />
                         <Edge From="30" To="31" Label="Source1" />
-                        <Edge From="31" To="32" Label="Source1" />
-                        <Edge From="32" To="33" Label="Source2" />
-                        <Edge From="33" To="34" Label="Source1" />
-                        <Edge From="34" To="36" Label="Source1" />
-                        <Edge From="35" To="36" Label="Source2" />
-                        <Edge From="36" To="37" Label="Source1" />
-                        <Edge From="37" To="38" Label="Source1" />
-                        <Edge From="38" To="39" Label="Source1" />
-                        <Edge From="40" To="41" Label="Source1" />
-                        <Edge From="42" To="43" Label="Source1" />
-                        <Edge From="43" To="44" Label="Source1" />
+                        <Edge From="32" To="33" Label="Source1" />
+                        <Edge From="34" To="35" Label="Source1" />
+                        <Edge From="35" To="36" Label="Source1" />
                       </Edges>
                     </Workflow>
                   </Expression>
@@ -1267,6 +1279,12 @@
                       <rx:Count>1</rx:Count>
                     </Combinator>
                   </Expression>
+                  <Expression xsi:type="MemberSelector">
+                    <Selector>NextTrial</Selector>
+                  </Expression>
+                  <Expression xsi:type="MulticastSubject">
+                    <Name>ThisTrial</Name>
+                  </Expression>
                   <Expression xsi:type="WorkflowOutput" />
                 </Nodes>
                 <Edges>
@@ -1287,22 +1305,14 @@
                   <Edge From="12" To="13" Label="Source1" />
                   <Edge From="13" To="14" Label="Source1" />
                   <Edge From="14" To="15" Label="Source1" />
+                  <Edge From="15" To="16" Label="Source1" />
+                  <Edge From="16" To="17" Label="Source1" />
                 </Edges>
               </Workflow>
             </Expression>
             <Expression xsi:type="Combinator">
               <Combinator xsi:type="rx:Repeat" />
             </Expression>
-            <Expression xsi:type="scr:ExpressionCondition">
-              <scr:Name>EndOnNull</scr:Name>
-              <scr:Expression>it.NextTrial == null</scr:Expression>
-            </Expression>
-            <Expression xsi:type="Combinator">
-              <Combinator xsi:type="rx:Take">
-                <rx:Count>1</rx:Count>
-              </Combinator>
-            </Expression>
-            <Expression xsi:type="Unit" />
             <Expression xsi:type="WorkflowOutput" />
           </Nodes>
           <Edges>
@@ -1330,9 +1340,6 @@
             <Edge From="24" To="25" Label="Source1" />
             <Edge From="25" To="26" Label="Source1" />
             <Edge From="26" To="27" Label="Source1" />
-            <Edge From="27" To="28" Label="Source1" />
-            <Edge From="28" To="29" Label="Source1" />
-            <Edge From="29" To="30" Label="Source1" />
           </Edges>
         </Workflow>
       </Expression>
diff --git a/src/aind_behavior_dynamic_foraging/task_logic/trial_generators/warmup_trial_generator.py b/src/aind_behavior_dynamic_foraging/task_logic/trial_generators/warmup_trial_generator.py
index df35ad1..a57f011 100644
--- a/src/aind_behavior_dynamic_foraging/task_logic/trial_generators/warmup_trial_generator.py
+++ b/src/aind_behavior_dynamic_foraging/task_logic/trial_generators/warmup_trial_generator.py
@@ -43,7 +43,7 @@ class WarmupTrialGeneratorSpec(BlockBasedTrialGeneratorSpec):
     block_len: Distribution = Field(
         default=ExponentialDistribution(
             distribution_parameters=ExponentialDistributionParameters(rate=1),
-            truncation_parameters=TruncationParameters(min=1, max=2),
+            truncation_parameters=TruncationParameters(min=1, max=1),
         ),
         description="Distribution describing block length.",
     )
diff --git a/src/main.bonsai b/src/main.bonsai
index fac1562..733c848 100644
--- a/src/main.bonsai
+++ b/src/main.bonsai
@@ -7,6 +7,7 @@
                  xmlns:p2="clr-namespace:;assembly=Extensions"
                  xmlns:p3="clr-namespace:System.Reactive;assembly=System.Reactive.Core"
                  xmlns:p4="clr-namespace:AllenNeuralDynamics.AindBehaviorServices.DataTypes;assembly=AllenNeuralDynamics.AindBehaviorServices"
+                 xmlns:scr="clr-namespace:Bonsai.Scripting.Expressions;assembly=Bonsai.Scripting.Expressions"
                  xmlns="https://bonsai-rx.org/2018/workflow">
   <Workflow>
     <Nodes>
@@ -332,9 +333,19 @@
       <Expression xsi:type="IncludeWorkflow" Path="Extensions\Hardware.bonsai" />
       <Expression xsi:type="IncludeWorkflow" Path="Extensions\OperationControl.bonsai" />
       <Expression xsi:type="IncludeWorkflow" Path="Extensions\TaskEngine.bonsai" />
+      <Expression xsi:type="scr:ExpressionCondition">
+        <scr:Name>isNull</scr:Name>
+        <scr:Expression>it == null</scr:Expression>
+      </Expression>
+      <Expression xsi:type="Combinator">
+        <Combinator xsi:type="rx:Take">
+          <rx:Count>1</rx:Count>
+        </Combinator>
+      </Expression>
+      <Expression xsi:type="Unit" />
       <Expression xsi:type="Combinator">
         <Combinator xsi:type="rx:Delay">
-          <rx:DueTime>PT1S</rx:DueTime>
+          <rx:DueTime>PT2S</rx:DueTime>
         </Combinator>
       </Expression>
       <Expression xsi:type="MulticastSubject">
@@ -371,13 +382,16 @@
       <Edge From="5" To="6" Label="Source1" />
       <Edge From="8" To="9" Label="Source1" />
       <Edge From="9" To="10" Label="Source1" />
-      <Edge From="10" To="12" Label="Source1" />
-      <Edge From="11" To="12" Label="Source2" />
-      <Edge From="13" To="16" Label="Source1" />
-      <Edge From="14" To="15" Label="Source1" />
-      <Edge From="15" To="16" Label="Source2" />
-      <Edge From="16" To="18" Label="Source1" />
-      <Edge From="17" To="18" Label="Source2" />
+      <Edge From="10" To="11" Label="Source1" />
+      <Edge From="11" To="12" Label="Source1" />
+      <Edge From="12" To="13" Label="Source1" />
+      <Edge From="13" To="15" Label="Source1" />
+      <Edge From="14" To="15" Label="Source2" />
+      <Edge From="16" To="19" Label="Source1" />
+      <Edge From="17" To="18" Label="Source1" />
+      <Edge From="18" To="19" Label="Source2" />
+      <Edge From="19" To="21" Label="Source1" />
+      <Edge From="20" To="21" Label="Source2" />
     </Edges>
   </Workflow>
 </WorkflowBuilder>
\ No newline at end of file
diff --git a/uv.lock b/uv.lock
index a896652..a1ca616 100644
--- a/uv.lock
+++ b/uv.lock
@@ -13,6 +13,12 @@ resolution-markers = [
     "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 
+[manifest]
+members = [
+    "aind-behavior-dynamic-foraging",
+    "aind-behavior-dynamic-foraging-curricula",
+]
+
 [[package]]
 name = "accessible-pygments"
 version = "0.0.5"
@@ -27,23 +33,24 @@ wheels = [
 
 [[package]]
 name = "aind-behavior-curriculum"
-version = "0.0.37"
+version = "0.0.38"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jinja2" },
     { name = "pydantic" },
     { name = "semver" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f0/ac/cb5073f94c6b41b88c6e91d8bf41f7c140d659a0eb1191bc0a91cace60db/aind_behavior_curriculum-0.0.37.tar.gz", hash = "sha256:a6d8fd58b4d172655bc445eefefe8ba6a7966f2b4303afe138dce3c07ec45a13", size = 139105, upload-time = "2025-12-05T22:51:07.253Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/49/ad/812f8cd33857366d7b1da81443ed60777992e591438c7104ad9fe0d4ac9f/aind_behavior_curriculum-0.0.38.tar.gz", hash = "sha256:11cce6a455ee3a2c0464e5f0ff170c44f1f9caf50cd3f1bf9bd9df7a41248e0d", size = 139193, upload-time = "2026-03-09T10:56:32.906Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e5/83/c51f680b86136dca811816746568de0feadbbe03d27a3213500a744ff047/aind_behavior_curriculum-0.0.37-py3-none-any.whl", hash = "sha256:349e973d52a450523b03a4b73b8371f72c80e9d43702eb62005f250e51663ca7", size = 48014, upload-time = "2025-12-05T22:51:06.351Z" },
+    { url = "https://files.pythonhosted.org/packages/74/36/53daf76d7a3a27245fdee89e7900bbb13b9db0327af22d5f3e10c3273720/aind_behavior_curriculum-0.0.38-py3-none-any.whl", hash = "sha256:ec77803fc0cad1c9f430bad3f1d2404dd324ce24ee7970b8d8337de2d6ad2d3c", size = 48048, upload-time = "2026-03-09T10:56:31.299Z" },
 ]
 
 [[package]]
 name = "aind-behavior-dynamic-foraging"
-version = "0.0.2rc16"
+version = "0.0.2rc17"
 source = { editable = "." }
 dependencies = [
+    { name = "aind-behavior-dynamic-foraging-curricula" },
     { name = "aind-behavior-services" },
     { name = "pydantic-settings" },
 ]
@@ -72,6 +79,7 @@ docs = [
 
 [package.metadata]
 requires-dist = [
+    { name = "aind-behavior-dynamic-foraging-curricula", editable = "workspaces/aind-behavior-dynamic-foraging-curricula" },
     { name = "aind-behavior-services", specifier = ">=0.13.2" },
     { name = "contraqctor", marker = "extra == 'data'", specifier = ">=0.5.3" },
     { name = "pydantic-settings" },
@@ -94,6 +102,55 @@ docs = [
     { name = "sphinx-jsonschema" },
 ]
 
+[[package]]
+name = "aind-behavior-dynamic-foraging-curricula"
+version = "0.2.1"
+source = { editable = "workspaces/aind-behavior-dynamic-foraging-curricula" }
+dependencies = [
+    { name = "aind-behavior-curriculum" },
+    { name = "aind-behavior-dynamic-foraging" },
+    { name = "numpy" },
+    { name = "pydantic-settings" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "codespell" },
+    { name = "pytest" },
+    { name = "pytest-cov" },
+    { name = "ruff" },
+]
+docs = [
+    { name = "mkdocs" },
+    { name = "mkdocs-material" },
+    { name = "mkdocstrings", extra = ["python"] },
+    { name = "pymdown-extensions" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "aind-behavior-curriculum", specifier = ">=0.0.38" },
+    { name = "aind-behavior-dynamic-foraging", editable = "." },
+    { name = "numpy", specifier = ">=2.4.2" },
+    { name = "pydantic-settings" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "codespell" },
+    { name = "pytest" },
+    { name = "pytest-cov" },
+    { name = "ruff" },
+]
+docs = [
+    { name = "mkdocs" },
+    { name = "mkdocs-material" },
+    { name = "mkdocstrings", extras = ["python"] },
+    { name = "pymdown-extensions" },
+    { name = "ruff" },
+]
+
 [[package]]
 name = "aind-behavior-services"
 version = "0.13.2"
@@ -289,6 +346,20 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" },
 ]
 
+[[package]]
+name = "backrefs"
+version = "6.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/4e/a6/e325ec73b638d3ede4421b5445d4a0b8b219481826cc079d510100af356c/backrefs-6.2.tar.gz", hash = "sha256:f44ff4d48808b243b6c0cdc6231e22195c32f77046018141556c66f8bab72a49", size = 7012303, upload-time = "2026-02-16T19:10:15.828Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/1b/39/3765df263e08a4df37f4f43cb5aa3c6c17a4bdd42ecfe841e04c26037171/backrefs-6.2-py310-none-any.whl", hash = "sha256:0fdc7b012420b6b144410342caeb8adc54c6866cf12064abc9bb211302e496f8", size = 381075, upload-time = "2026-02-16T19:10:04.322Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/f0/35240571e1b67ffb19dafb29ab34150b6f59f93f717b041082cdb1bfceb1/backrefs-6.2-py311-none-any.whl", hash = "sha256:08aa7fae530c6b2361d7bdcbda1a7c454e330cc9dbcd03f5c23205e430e5c3be", size = 392874, upload-time = "2026-02-16T19:10:06.314Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/63/77e8c9745b4d227cce9f5e0a6f68041278c5f9b18588b35905f5f19c1beb/backrefs-6.2-py312-none-any.whl", hash = "sha256:c3f4b9cb2af8cda0d87ab4f57800b57b95428488477be164dd2b47be54db0c90", size = 398787, upload-time = "2026-02-16T19:10:08.274Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/71/c754b1737ad99102e03fa3235acb6cb6d3ac9d6f596cbc3e5f236705abd8/backrefs-6.2-py313-none-any.whl", hash = "sha256:12df81596ab511f783b7d87c043ce26bc5b0288cf3bb03610fe76b8189282b2b", size = 400747, upload-time = "2026-02-16T19:10:09.791Z" },
+    { url = "https://files.pythonhosted.org/packages/af/75/be12ba31a6eb20dccef2320cd8ccb3f7d9013b68ba4c70156259fee9e409/backrefs-6.2-py314-none-any.whl", hash = "sha256:e5f805ae09819caa1aa0623b4a83790e7028604aa2b8c73ba602c4454e665de7", size = 412602, upload-time = "2026-02-16T19:10:12.317Z" },
+    { url = "https://files.pythonhosted.org/packages/21/f8/d02f650c47d05034dcd6f9c8cf94f39598b7a89c00ecda0ecb2911bc27e9/backrefs-6.2-py39-none-any.whl", hash = "sha256:664e33cd88c6840b7625b826ecf2555f32d491800900f5a541f772c485f7cda7", size = 381077, upload-time = "2026-02-16T19:10:13.74Z" },
+]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.14.3"
@@ -599,6 +670,110 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b4/9a/94fa67d2aecf7703a68be18b97b8d1af09ec9c26c73b2c21d5e881e46353/contraqctor-0.5.3-py3-none-any.whl", hash = "sha256:9306521efd6165007409319be39d4a8d9e286028693237584dbfc9f87e974292", size = 67638, upload-time = "2025-11-10T17:31:18.482Z" },
 ]
 
+[[package]]
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+version = "7.13.4"
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 version = "0.6.0"
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/README.md b/workspaces/aind-behavior-dynamic-foraging-curricula/README.md
new file mode 100644
index 0000000..b5aab7f
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/README.md
@@ -0,0 +1,228 @@
+# Aind.Behavior.DynamicForaging.Curricula
+
+![CI](https://github.com/AllenNeuralDynamics/Aind.Behavior.DynamicForaging.Curricula/actions/workflows/dynamic-foraging-curricula.yml/badge.svg)
+[![License](https://img.shields.io/badge/license-MIT-brightgreen)](LICENSE)
+[![ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
+[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
+
+
+A repository of curricula for [Dynamic foraging task](https://github.com/AllenNeuralDynamics/Aind.Behavior.DynamicForaging).
+
+## CLI Reference
+
+Curricula are modules of the main package: `aind_behavior_dynamic_foraging_curricula.<curriculum_name>`. 
+
+All curricula are available via the `curriculum` CLI entry point. The following commands are available:
+
+### Getting Help
+
+Display all available commands:
+
+```bash
+uv run curriculum -h
+```
+
+Get help for a specific command:
+
+```bash
+uv run curriculum <command> -h
+```
+
+### `list` - List Available Curricula
+
+Lists all curricula available in this repository.
+
+**Usage:**
+
+```bash
+uv run curriculum list
+```
+
+**Example output:**
+```
+Available curricula:
+ - depletion
+ - depletion_stops_offset
+ - depletion_stops_rate
+ - operant_conditioning
+ - single_site_matching
+ - template
+```
+
+### `init` - Initialize a Curriculum
+
+Creates an initial trainer state for enrolling a subject in a curriculum. This generates the starting point for curriculum execution.
+
+**Required Arguments:**
+- `--curriculum <name>`: The curriculum to enroll in (required)
+
+**Optional Arguments:**
+- `--output <path>`: Path to save the enrollment trainer state as a JSON file
+- `--stage <name>`: If provided, enroll at a specific stage instead of the first stage
+
+**Examples:**
+
+Initialize the depletion curriculum (starts at first stage):
+
+```bash
+uv run curriculum init --curriculum depletion --output initial_state.json
+```
+
+Initialize at a specific stage:
+
+```bash
+uv run curriculum init --curriculum depletion --stage stage_one_odor_no_depletion --output initial_state.json
+```
+
+Print to stdout without saving:
+
+```bash
+uv run curriculum init --curriculum operant_conditioning
+```
+
+### `run` - Run a Curriculum
+
+Evaluates a curriculum based on session data and the current trainer state, producing a suggestion for the next stage.
+
+**Required Arguments:**
+- `--data-directory <path>`: Path to the session data directory for calculating metrics
+- `--input-trainer-state <path>`: Path to the current trainer state JSON file
+
+**Optional Arguments:**
+- `--curriculum <name>`: Forces the use of a specific curriculum, bypassing automatic detection
+- `--output-suggestion <path>`: Directory path to save the suggestion as `suggestion.json`
+- `--mute-suggestion`: Disables printing the suggestion to stdout (useful when only saving to file)
+
+**Examples:**
+
+Run curriculum with automatic detection:
+
+```bash
+uv run curriculum run \
+  --data-directory /path/to/session/data \
+  --input-trainer-state current_state.json \
+  --output-suggestion /path/to/output
+```
+
+Force a specific curriculum:
+
+```bash
+uv run curriculum run \
+  --data-directory /path/to/session/data \
+  --input-trainer-state current_state.json \
+  --curriculum depletion \
+  --output-suggestion /path/to/output
+```
+
+Run without saving (print to stdout only):
+
+```bash
+uv run curriculum run \
+  --data-directory /path/to/session/data \
+  --input-trainer-state current_state.json
+```
+
+Run and save without printing:
+
+```bash
+uv run curriculum run \
+  --data-directory /path/to/session/data \
+  --input-trainer-state current_state.json \
+  --output-suggestion /path/to/output \
+  --mute-suggestion
+```
+
+Quick demo with template curriculum:
+
+```bash
+uv run curriculum run \
+  --data-directory "demo" \
+  --input-trainer-state "foo.json" \
+  --curriculum "template"
+```
+
+### `version` - Show Package Version
+
+Displays the version of this package.
+
+**Usage:**
+
+```bash
+uv run curriculum version
+```
+
+**Example output:**
+```
+0.2.0
+```
+
+### `dsl-version` - Show DSL Version
+
+Displays the version of the underlying `aind-behavior-curriculum` DSL library.
+
+**Usage:**
+
+```bash
+uv run curriculum dsl-version
+```
+
+**Example output:**
+```
+0.0.37
+```
+
+## Typical Workflow
+
+1. **List available curricula:**
+   ```bash
+   uv run curriculum list
+   ```
+
+2. **Initialize a subject in a curriculum:**
+   ```bash
+   uv run curriculum init --curriculum depletion --output trainer_state.json
+   ```
+
+3. **After a training session, evaluate progress:**
+   ```bash
+   uv run curriculum run \
+     --data-directory /path/to/session/data \
+     --input-trainer-state trainer_state.json \
+     --output-suggestion /path/to/output
+   ```
+
+4. **Use the suggestion output for the next session:**
+   The `suggestion.json` file contains the updated trainer state and can be used as `--input-trainer-state` for the next session.
+
+
+## Style guide
+
+To keep things clear, I suggest the following naming convention:
+
+* **Policies** should start with `p_` (e.g., `p_identity_policy`)
+* **Policy transitions** should start with `pt_`
+* **Stages** should start with `s_` (e.g., `s_stage1`)
+* **Stage transitions** should start with `st_` and should be named after the stages they transition between (e.g., `st_s_stage1_s_stage2`)
+
+Define the following modules:
+
+* **metrics**: Defines (or imports) metrics classes and how to calculate them from data
+* **stages**: Defines the different stages of the Dynamic foraging task. This includes task settings and, optionally, policies
+* **curriculum**: Defines the transitions between the stages and generate entry point to the application
+
+## Contributors
+
+Contributions to this repository are welcome! However, please ensure that your code adheres to the recommended DevOps practices below:
+
+### Linting
+
+We use [ruff](https://docs.astral.sh/ruff/) as our primary linting tool.
+
+### Testing
+
+Attempt to add tests when new features are added.
+To run the currently available tests, run `uv run pytest` from the root of the repository.
+
+### Lock files
+
+We use [uv](https://docs.astral.sh/uv/) to manage our lock files and therefore encourage everyone to use uv as a package manager as well.
\ No newline at end of file
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/examples/couple_baiting_curriculum.py b/workspaces/aind-behavior-dynamic-foraging-curricula/examples/couple_baiting_curriculum.py
new file mode 100644
index 0000000..513ebca
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/examples/couple_baiting_curriculum.py
@@ -0,0 +1,25 @@
+from aind_behavior_dynamic_foraging_curricula.coupled_baiting import TRAINER
+from aind_behavior_dynamic_foraging_curricula.metrics import DynamicForagingMetrics
+
+
+def main():
+    trainer_state = TRAINER.create_enrollment()
+
+    # starts at stage_1_warmup
+    current_stage = trainer_state.stage
+    print(f"Current stage: {current_stage.name}")  # stage_1_warmup
+
+    metrics = DynamicForagingMetrics(
+        session_total=1,
+        session_at_current_stage=1,
+        finished_trials=[250],
+        foraging_efficiency=[0.65],
+    )
+
+    # evaluate
+    new_trainer_state = TRAINER.evaluate(trainer_state, metrics)
+    print(f"Next stage: {new_trainer_state.stage.name}")  # stage_2, since finished_trials >= 200 and efficiency >= 0.6
+
+
+if __name__ == "__main__":
+    main()
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/pyproject.toml b/workspaces/aind-behavior-dynamic-foraging-curricula/pyproject.toml
new file mode 100644
index 0000000..b924526
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/pyproject.toml
@@ -0,0 +1,75 @@
+[build-system]
+requires = ["uv_build>=0.8.22"]
+build-backend = "uv_build"
+
+[project]
+name = "aind-behavior-dynamic-foraging-curricula"
+description = "A library of curricula for the Dynamic Foraging task."
+authors = [
+    {name = "Bruno Cruz", email = "bruno.cruz@alleninstitute.org"},
+    {name = "Micah Woodard", email = "micah.woodard@alleninstitute.org"}
+    ]
+license = "MIT"
+version = "0.2.1"
+requires-python = ">=3.11"
+classifiers = [
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Operating System :: Microsoft :: Windows",
+]
+readme = {file = "README.md", content-type = "text/markdown"}
+
+dependencies = [
+    "aind-behavior-curriculum >= 0.0.38",
+    "numpy>=2.4.2",
+    "pydantic-settings",
+    "aind-behavior-dynamic-foraging"
+]
+
+[tool.uv.sources]
+aind-behavior-dynamic-foraging = { workspace = true }
+
+[dependency-groups]
+
+dev = [
+    'ruff',
+    'pytest',
+    'pytest-cov',
+    'codespell',
+]
+
+docs = [
+    'mkdocs',
+    'mkdocs-material',
+    'mkdocstrings[python]',
+    'pymdown-extensions',
+    'ruff',
+]
+
+[tool.uv]
+default-groups = ['dev']
+
+[tool.ruff]
+line-length = 120
+target-version = 'py311'
+
+[tool.ruff.lint]
+extend-select = ['Q', 'RUF100', 'C90', 'I']
+extend-ignore = []
+mccabe = { max-complexity = 14 }
+pydocstyle = { convention = 'google' }
+
+[tool.codespell]
+skip = '.git,*.pdf,*.svg,uv.lock'
+ignore-words-list = 'nd'
+
+[tool.pytest.ini_options]
+addopts = "--strict-markers --tb=short --cov=src --cov-report=term-missing --cov-fail-under=70"
+testpaths = ["tests"]
+python_files = ["test_*.py"]
+python_classes = ["Test*"]
+python_functions = ["test_*"]
+
+[project.scripts]
+curriculum = "aind_behavior_dynamic_foraging_curricula.cli:main"
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/__init__.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/__init__.py
new file mode 100644
index 0000000..98cffdf
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/__init__.py
@@ -0,0 +1,30 @@
+import re
+from importlib.metadata import PackageNotFoundError, version
+
+
+def pep440_to_semver(ver: str) -> str:
+    """
+    Convert a PEP 440 version to a SemVer-compatible string.
+
+    Examples:
+        1.2.3rc2   -> 1.2.3-rc2
+        1.2.3a1    -> 1.2.3-a1
+        1.2.3b1    -> 1.2.3-b1
+        1.2.3.dev4 -> 1.2.3-dev4
+        1.2.3.post1 -> 1.2.3+post1
+    """
+    # pre-release: a, b, rc -> -aN, -bN, -rcN
+    ver = re.sub(r"(?<=\d)(a|b|rc)(\d+)", r"-\1\2", ver)
+    # dev release: .devN -> -devN
+    ver = re.sub(r"\.dev(\d+)", r"-dev\1", ver)
+    # post release: .postN -> +postN
+    ver = re.sub(r"\.post(\d+)", r"+post\1", ver)
+    return ver
+
+
+try:
+    __version__ = version(__name__)
+except PackageNotFoundError:
+    __version__ = "0.0.0"
+
+__semver__ = pep440_to_semver(__version__)
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/cli.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/cli.py
new file mode 100644
index 0000000..f7be0ef
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/cli.py
@@ -0,0 +1,168 @@
+import importlib
+import logging
+import os
+import typing as t
+from pathlib import Path
+
+import aind_behavior_curriculum
+from pydantic import BaseModel, Field, RootModel, SerializeAsAny
+from pydantic_settings import BaseSettings, CliApp, CliImplicitFlag, CliSubCommand
+
+from . import __version__
+from .utils import model_from_json_file
+
+TModel = t.TypeVar("TModel", bound=BaseModel)
+TTrainerState = t.TypeVar("TTrainerState", bound=aind_behavior_curriculum.TrainerState)
+TMetrics = t.TypeVar("TMetrics", bound=aind_behavior_curriculum.Metrics)
+TCurriculum = t.TypeVar("TCurriculum", bound=aind_behavior_curriculum.Curriculum)
+
+curricula_logger = logging.Logger(__name__)
+
+
+class Version(RootModel):
+    root: t.Any
+
+    def cli_cmd(self) -> None:
+        print(__version__)
+
+
+class DslVersion(RootModel):
+    root: t.Any
+
+    def cli_cmd(self) -> None:
+        print(aind_behavior_curriculum.__version__)
+
+
+class ListKnownCurricula(RootModel):
+    root: t.Any
+
+    def cli_cmd(self) -> None:
+        print("Available curricula:")
+        for curriculum in _KNOWN_CURRICULA:
+            print(f" - {curriculum}")
+
+
+class CurriculumCliArgs(BaseSettings):
+    data_directory: os.PathLike = Field(description="Path to the session data directory.")
+    input_trainer_state: os.PathLike = Field(description="Path to a deserialized trainer state.")
+    mute_suggestion: CliImplicitFlag[bool] = Field(default=False, description="Disables the suggestion output")
+    output_suggestion: t.Optional[os.PathLike] = Field(
+        default=None,
+        description="A path to save the suggestion. If not provided, the suggestion will not be serialized to a file.",
+    )
+    curriculum: t.Optional[str] = Field(
+        default=None, description="Forces the use of a specific curriculum, bypassing any automatic detection."
+    )
+
+    def cli_cmd(self) -> None:
+        try:
+            if self.curriculum:
+                curriculum_name = self.curriculum
+            else:
+                annonymous_trainer_state = model_from_json_file(
+                    self.input_trainer_state,
+                    aind_behavior_curriculum.TrainerState[aind_behavior_curriculum.Curriculum[t.Any]],
+                )
+                if (curriculum := annonymous_trainer_state.curriculum) is None:
+                    curricula_logger.error("Trainer state does not have a curriculum.")
+                    raise ValueError("Trainer state does not have a curriculum.")
+                curriculum_name = curriculum.pkg_location
+
+            curriculum_name = curriculum_name.replace(str(__package__) + ".", "")
+            if curriculum_name not in _KNOWN_CURRICULA:
+                curricula_logger.error(f"Unknown curriculum: {curriculum_name}. Available: {list(_KNOWN_CURRICULA)}")
+                raise ValueError(f"Unknown curriculum: {curriculum_name}. Available: {list(_KNOWN_CURRICULA)}")
+
+            else:
+                module = importlib.import_module(f"{__package__}.{curriculum_name}")
+                runner: t.Callable[[CurriculumCliArgs], CurriculumSuggestion] = getattr(module, "run_curriculum")
+
+            suggestion = runner(self)
+            suggestion.dsl_version = aind_behavior_curriculum.__version__
+
+            if not self.mute_suggestion:
+                print(suggestion.model_dump_json())
+
+            if self.output_suggestion is not None:
+                with open(Path(self.output_suggestion) / "suggestion.json", "w", encoding="utf-8") as file:
+                    file.write(suggestion.model_dump_json(indent=2))
+
+        except Exception as e:
+            curricula_logger.error(f"Error occurred while running curriculum: {e}")
+            raise e
+
+
+class CurriculumInitCliArgs(BaseSettings):
+    curriculum: str = Field(description="The curriculum to enroll the model in.")
+    output: t.Optional[os.PathLike] = Field(
+        default=None,
+        description="Path to save the enrollment curriculum. If not provided, the curriculum will not be serialized to a file.",
+    )
+    stage: t.Optional[str] = Field(
+        default=None,
+        description="If provided, the enrollment will be for a specific stage in the curriculum.",
+    )
+
+    def cli_cmd(self) -> None:
+        if self.curriculum not in _KNOWN_CURRICULA:
+            curricula_logger.error(f"Unknown curriculum: {self.curriculum}. Available: {list(_KNOWN_CURRICULA)}")
+            raise ValueError(f"Unknown curriculum: {self.curriculum}. Available: {list(_KNOWN_CURRICULA)}")
+
+        module = importlib.import_module(f"{__package__}.{self.curriculum}")
+        trainer: aind_behavior_curriculum.Trainer = getattr(module, "TRAINER")
+        if self.stage is None:
+            init_state = trainer.create_enrollment()
+        else:
+            try:
+                stages = trainer.curriculum.see_stages()
+                stage = [s for s in stages if s.name == self.stage][0]
+            except IndexError:
+                curricula_logger.error(f"Unknown stage: {self.stage}")
+                curricula_logger.error(self._print_available_stages(trainer.curriculum))
+                raise ValueError(f"Unknown stage: {self.stage}. Available: {[s.name for s in stages]}")
+            else:
+                init_state = trainer.create_trainer_state(
+                    stage=stage, is_on_curriculum=True, active_policies=stage.start_policies
+                )
+
+        if self.output is not None:
+            with open(Path(self.output), "w", encoding="utf-8") as file:
+                file.write(init_state.model_dump_json(indent=2))
+
+        print(init_state.model_dump_json())
+
+    def _print_available_stages(self, curriculum: aind_behavior_curriculum.Curriculum) -> None:
+        print("Available stages:")
+        for stage in curriculum.see_stages():
+            print(f" - {stage.name}")
+
+
+class CurriculumAppCliArgs(BaseSettings, cli_prog_name="curriculum", cli_kebab_case=True):
+    run: CliSubCommand[CurriculumCliArgs]
+    init: CliSubCommand[CurriculumInitCliArgs]
+    version: CliSubCommand[Version]
+    dsl_version: CliSubCommand[DslVersion]
+    list: CliSubCommand[ListKnownCurricula]
+
+    def cli_cmd(self) -> None:
+        CliApp.run_subcommand(self)
+
+
+class CurriculumSuggestion(BaseModel, t.Generic[TTrainerState, TMetrics]):
+    trainer_state: SerializeAsAny[TTrainerState] = Field(description="The TrainerState suggestion.")
+    metrics: SerializeAsAny[TMetrics] = Field(description="The calculated metrics.")
+    version: str = Field(default=__version__, description="The version of the curriculum.")
+    dsl_version: str = Field(
+        default=aind_behavior_curriculum.__version__, description="The version of the curriculum library."
+    )
+
+
+_KNOWN_CURRICULA = [p.stem for p in Path(__file__).parent.iterdir() if p.is_dir() and not p.name.startswith("_")]
+
+
+def main():
+    CliApp.run(CurriculumAppCliArgs)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/__init__.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/__init__.py
new file mode 100644
index 0000000..7e54700
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/__init__.py
@@ -0,0 +1,3 @@
+from .curriculum import CURRICULUM, CURRICULUM_NAME, PKG_LOCATION, TRAINER, run_curriculum
+
+__all__ = ["CURRICULUM_NAME", "CURRICULUM", "TRAINER", "PKG_LOCATION", "run_curriculum"]
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/curriculum.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/curriculum.py
new file mode 100644
index 0000000..95563ee
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/curriculum.py
@@ -0,0 +1,124 @@
+from typing import Any, Type, TypeVar
+
+import numpy as np
+import pydantic
+from aind_behavior_curriculum import Curriculum, Metrics, StageTransition, Trainer, TrainerState, create_curriculum
+from aind_behavior_dynamic_foraging.task_logic import (
+    AindDynamicForagingTaskLogic,
+)
+
+from .. import __semver__
+from ..cli import CurriculumCliArgs, CurriculumSuggestion
+from ..metrics import DynamicForagingMetrics
+from ..utils import metrics_from_dataset_path, trainer_state_from_file
+from .stages import s_final, s_graduated, s_stage_1, s_stage_1_warmup, s_stage_2, s_stage_3
+
+CURRICULUM_NAME = "CoupledBaiting"
+PKG_LOCATION = ".".join(__name__.split(".")[:-1])
+
+TModel = TypeVar("TModel", bound=pydantic.BaseModel)
+
+
+# --- STAGE TRANSITIONS ---
+
+
+# warmup
+@StageTransition
+def st_stage_1_warmup_to_stage_1(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.sessions_at_current_stage >= 1
+
+
+@StageTransition
+def st_stage_1_warmup_to_stage_2(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.finished_trials_per_session[-1] >= 200 and metrics.foraging_efficiency_per_session[-1] >= 0.6
+
+
+# stage 1
+@StageTransition
+def st_stage_1_to_stage_2(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.foraging_efficiency_per_session[-1] >= 0.6 and metrics.finished_trials_per_session[-1] >= 200
+
+
+# stage 2
+@StageTransition
+def st_stage_2_to_stage_3(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.foraging_efficiency_per_session[-1] >= 0.65 and metrics.finished_trials_per_session[-1] >= 300
+
+
+@StageTransition
+def st_stage_2_to_stage_1(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.foraging_efficiency_per_session[-1] < 0.55 or metrics.finished_trials_per_session[-1] < 200
+
+
+# stage 3
+@StageTransition
+def st_stage_3_to_final(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.foraging_efficiency_per_session[-1] >= 0.7 and metrics.finished_trials_per_session[-1] >= 400
+
+
+@StageTransition
+def st_stage_3_to_stage_2(metrics: DynamicForagingMetrics) -> bool:
+    return metrics.foraging_efficiency_per_session[-1] < 0.65 or metrics.finished_trials_per_session[-1] < 300
+
+
+# stage final
+@StageTransition
+def st_final_to_graduated(metrics: DynamicForagingMetrics) -> bool:
+    return (
+        metrics.total_sessions >= 10
+        and metrics.sessions_at_current_stage >= 5
+        and np.mean(metrics.finished_trials_per_session[-5:]) >= 450
+        and np.mean(metrics.foraging_efficiency_per_session[-5:]) >= 0.7
+    )
+
+
+@StageTransition
+def st_final_to_stage_3(metrics: DynamicForagingMetrics) -> bool:
+    return (
+        np.mean(metrics.foraging_efficiency_per_session[-5:]) < 0.60
+        or np.mean(metrics.finished_trials_per_session[-5:]) < 300
+    )
+
+
+# --- CURRICULUM ---
+
+curriculum_class: Type[Curriculum[AindDynamicForagingTaskLogic]] = create_curriculum(
+    CURRICULUM_NAME, __semver__, (AindDynamicForagingTaskLogic,), pkg_location=PKG_LOCATION
+)
+CURRICULUM = curriculum_class()
+
+# add stages
+CURRICULUM.add_stage(s_stage_1_warmup)
+CURRICULUM.add_stage(s_stage_1)
+CURRICULUM.add_stage(s_stage_2)
+CURRICULUM.add_stage(s_stage_3)
+CURRICULUM.add_stage(s_final)
+CURRICULUM.add_stage(s_graduated)
+
+# add stage transitions
+# warmup
+CURRICULUM.add_stage_transition(
+    s_stage_1_warmup, s_stage_2, st_stage_1_warmup_to_stage_2
+)  # add 2 first to take priority
+
+CURRICULUM.add_stage_transition(s_stage_1_warmup, s_stage_1, st_stage_1_warmup_to_stage_1)
+# stage 1
+CURRICULUM.add_stage_transition(s_stage_1, s_stage_2, st_stage_1_to_stage_2)
+# stage 2
+CURRICULUM.add_stage_transition(s_stage_2, s_stage_3, st_stage_2_to_stage_3)
+CURRICULUM.add_stage_transition(s_stage_2, s_stage_1, st_stage_2_to_stage_1)
+# stage 3
+CURRICULUM.add_stage_transition(s_stage_3, s_final, st_stage_3_to_final)
+CURRICULUM.add_stage_transition(s_stage_3, s_stage_2, st_stage_3_to_stage_2)
+# final
+CURRICULUM.add_stage_transition(s_final, s_graduated, st_final_to_graduated)
+CURRICULUM.add_stage_transition(s_final, s_stage_3, st_final_to_stage_3)
+
+TRAINER = Trainer(CURRICULUM)
+
+
+def run_curriculum(args: CurriculumCliArgs) -> CurriculumSuggestion[TrainerState[Any], Any]:
+    trainer_state = trainer_state_from_file(args.input_trainer_state, TRAINER)
+    metrics: Metrics = metrics_from_dataset_path(args.data_directory, trainer_state)
+    trainer_state = TRAINER.evaluate(trainer_state, metrics)
+    return CurriculumSuggestion(trainer_state=trainer_state, metrics=metrics, version=__semver__)
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/stages.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/stages.py
new file mode 100644
index 0000000..401b045
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/coupled_baiting/stages.py
@@ -0,0 +1,340 @@
+from aind_behavior_curriculum import MetricsProvider, Stage
+from aind_behavior_dynamic_foraging.task_logic import (
+    AindDynamicForagingTaskLogic,
+    AindDynamicForagingTaskParameters,
+    RewardSize,
+)
+from aind_behavior_dynamic_foraging.task_logic.trial_generators import (
+    CoupledTrialGeneratorSpec,
+    TrialGeneratorCompositeSpec,
+    WarmupTrialGeneratorSpec,
+)
+from aind_behavior_dynamic_foraging.task_logic.trial_generators.block_based_trial_generator import (
+    RewardProbabilityParameters,
+)
+from aind_behavior_dynamic_foraging.task_logic.trial_generators.coupled_trial_generator import (
+    BehaviorStabilityParameters,
+    CoupledTrialGenerationEndConditions,
+)
+from aind_behavior_dynamic_foraging.task_logic.trial_generators.warmup_trial_generator import (
+    WarmupTrialGenerationEndConditions,
+)
+from aind_behavior_services.task.distributions import (
+    ExponentialDistribution,
+    ExponentialDistributionParameters,
+    TruncationParameters,
+    UniformDistribution,
+    UniformDistributionParameters,
+)
+
+from ..metrics import metrics_from_dataset
+
+# --- STAGES ---
+
+s_stage_1_warmup = Stage(
+    name="stage_1_warmup",
+    task=AindDynamicForagingTaskLogic(
+        task_parameters=AindDynamicForagingTaskParameters(
+            reward_size=RewardSize(right_value_volume=4.0, left_value_volume=4.0),
+            lick_spout_retraction=False,
+            trial_generator=TrialGeneratorCompositeSpec(
+                generators=[
+                    WarmupTrialGeneratorSpec(
+                        trial_generation_end_parameters=WarmupTrialGenerationEndConditions(
+                            min_trial=50,
+                            max_choice_bias=0.1,
+                            min_response_rate=0.8,
+                            evaluation_window=20,
+                        ),
+                        reward_probability_parameters=RewardProbabilityParameters(
+                            base_reward_sum=1,
+                            family=3,
+                            pairs_n=1,
+                        ),
+                        block_len=ExponentialDistribution(
+                            distribution_parameters=ExponentialDistributionParameters(rate=1),
+                            truncation_parameters=TruncationParameters(min=1, max=1),
+                        ),
+                        inter_trial_interval_duration=ExponentialDistribution(
+                            distribution_parameters=ExponentialDistributionParameters(rate=1 / 3),
+                            truncation_parameters=TruncationParameters(min=1, max=7),
+                        ),
+                        quiescent_duration=UniformDistribution(
+                            distribution_parameters=UniformDistributionParameters(min=0.1, max=0.1),
+                        ),
+                        min_block_reward=1,
+                        is_baiting=True,
+                        response_duration=5.0,
+                        reward_consumption_duration=1.0,
+                        kernel_size=2,
+                        extend_block_on_no_response=True,
+                    ),
+                    CoupledTrialGeneratorSpec(
+                        trial_generation_end_parameters=CoupledTrialGenerationEndConditions(
+                            max_trial=1000,
+                            max_time=75,
+                            min_time=30,
+                            ignore_win=20000,
+                            ignore_ratio_threshold=1,
+                        ),
+                        behavior_stability_parameters=BehaviorStabilityParameters(
+                            behavior_evaluation_mode="end",
+                            behavior_stability_fraction=0.5,
+                            min_consecutive_stable_trials=5,
+                        ),
+                        reward_probability_parameters=RewardProbabilityParameters(
+                            base_reward_sum=0.8,
+                            family=3,
+                            pairs_n=1,
+                        ),
+                        block_len=ExponentialDistribution(
+                            distribution_parameters=ExponentialDistributionParameters(rate=1 / 5),
+                            truncation_parameters=TruncationParameters(min=10, max=20),
+                        ),
+                        inter_trial_interval_duration=ExponentialDistribution(
+                            distribution_parameters=ExponentialDistributionParameters(rate=1 / 3),
+                            truncation_parameters=TruncationParameters(min=1, max=7),
+                        ),
+                        quiescent_duration=UniformDistribution(
+                            distribution_parameters=UniformDistributionParameters(min=0.1, max=0.1),
+                        ),
+                        min_block_reward=0,
+                        is_baiting=True,
+                        extend_block_on_no_response=True,
+                        response_duration=5.0,
+                        reward_consumption_duration=1.0,
+                        kernel_size=2,
+                    ),
+                ]
+            ),
+        )
+    ),
+    metrics_provider=MetricsProvider(metrics_from_dataset),
+)
+
+s_stage_1 = Stage(
+    name="stage_1",
+    task=AindDynamicForagingTaskLogic(
+        task_parameters=AindDynamicForagingTaskParameters(
+            reward_size=RewardSize(right_value_volume=2.0, left_value_volume=2.0),
+            lick_spout_retraction=False,
+            trial_generator=CoupledTrialGeneratorSpec(
+                trial_generation_end_parameters=CoupledTrialGenerationEndConditions(
+                    max_trial=1000,
+                    max_time=75,
+                    min_time=30,
+                    ignore_win=20000,
+                    ignore_ratio_threshold=1,
+                ),
+                behavior_stability_parameters=BehaviorStabilityParameters(
+                    behavior_evaluation_mode="end",
+                    behavior_stability_fraction=0.5,
+                    min_consecutive_stable_trials=5,
+                ),
+                reward_probability_parameters=RewardProbabilityParameters(
+                    base_reward_sum=0.8,
+                    family=3,
+                    pairs_n=1,
+                ),
+                block_len=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 5),
+                    truncation_parameters=TruncationParameters(min=10, max=20),
+                ),
+                inter_trial_interval_duration=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 3),
+                    truncation_parameters=TruncationParameters(min=1, max=7),
+                ),
+                quiescent_duration=UniformDistribution(
+                    distribution_parameters=UniformDistributionParameters(min=0.1, max=0.1),
+                ),
+                min_block_reward=0,
+                is_baiting=False,
+                extend_block_on_no_response=True,
+                response_duration=5.0,
+                reward_consumption_duration=1.0,
+                kernel_size=2,
+            ),
+        )
+    ),
+    metrics_provider=MetricsProvider(metrics_from_dataset),
+)
+
+s_stage_2 = Stage(
+    name="stage_2",
+    task=AindDynamicForagingTaskLogic(
+        task_parameters=AindDynamicForagingTaskParameters(
+            reward_size=RewardSize(right_value_volume=2.0, left_value_volume=2.0),
+            lick_spout_retraction=False,
+            trial_generator=CoupledTrialGeneratorSpec(
+                trial_generation_end_parameters=CoupledTrialGenerationEndConditions(
+                    max_trial=1000,
+                    max_time=75,
+                    min_time=30,
+                    ignore_win=30,
+                    ignore_ratio_threshold=0.83,
+                ),
+                behavior_stability_parameters=BehaviorStabilityParameters(
+                    behavior_evaluation_mode="end",
+                    behavior_stability_fraction=0.6,
+                    min_consecutive_stable_trials=5,
+                ),
+                reward_probability_parameters=RewardProbabilityParameters(
+                    base_reward_sum=0.6,
+                    family=1,
+                    pairs_n=1,
+                ),
+                block_len=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 10),
+                    truncation_parameters=TruncationParameters(min=10, max=40),
+                ),
+                inter_trial_interval_duration=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 5),
+                    truncation_parameters=TruncationParameters(min=1, max=10),
+                ),
+                quiescent_duration=UniformDistribution(
+                    distribution_parameters=UniformDistributionParameters(min=0.3, max=0.3),
+                ),
+                min_block_reward=0,
+                is_baiting=True,
+                extend_block_on_no_response=True,
+                response_duration=3.0,
+                reward_consumption_duration=1.0,
+                kernel_size=2,
+            ),
+        )
+    ),
+    metrics_provider=MetricsProvider(metrics_from_dataset),
+)
+
+s_stage_3 = Stage(
+    name="stage_3",
+    task=AindDynamicForagingTaskLogic(
+        task_parameters=AindDynamicForagingTaskParameters(
+            reward_size=RewardSize(right_value_volume=2.0, left_value_volume=2.0),
+            lick_spout_retraction=False,
+            trial_generator=CoupledTrialGeneratorSpec(
+                trial_generation_end_parameters=CoupledTrialGenerationEndConditions(
+                    max_trial=1000,
+                    max_time=75,
+                    min_time=30,
+                    ignore_win=30,
+                    ignore_ratio_threshold=0.83,
+                ),
+                behavior_stability_parameters=BehaviorStabilityParameters(
+                    behavior_evaluation_mode="end",
+                    behavior_stability_fraction=0.6,
+                    min_consecutive_stable_trials=5,
+                ),
+                reward_probability_parameters=RewardProbabilityParameters(
+                    base_reward_sum=0.45,
+                    family=1,
+                    pairs_n=1,
+                ),
+                block_len=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 20),
+                    truncation_parameters=TruncationParameters(min=20, max=60),
+                ),
+                inter_trial_interval_duration=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 3),
+                    truncation_parameters=TruncationParameters(min=1, max=15),
+                ),
+                quiescent_duration=UniformDistribution(
+                    distribution_parameters=UniformDistributionParameters(min=0.5, max=0.5),
+                ),
+                min_block_reward=0,
+                is_baiting=True,
+                extend_block_on_no_response=True,
+                response_duration=2.0,
+                reward_consumption_duration=1.0,
+                kernel_size=2,
+            ),
+        )
+    ),
+    metrics_provider=MetricsProvider(metrics_from_dataset),
+)
+
+s_final = Stage(
+    name="final",
+    task=AindDynamicForagingTaskLogic(
+        task_parameters=AindDynamicForagingTaskParameters(
+            reward_size=RewardSize(right_value_volume=2.0, left_value_volume=2.0),
+            lick_spout_retraction=False,
+            trial_generator=CoupledTrialGeneratorSpec(
+                trial_generation_end_parameters=CoupledTrialGenerationEndConditions(
+                    max_trial=1000,
+                    max_time=75,
+                    min_time=30,
+                    ignore_win=30,
+                    ignore_ratio_threshold=0.83,
+                ),
+                behavior_stability_parameters=None,
+                reward_probability_parameters=RewardProbabilityParameters(
+                    base_reward_sum=0.45,
+                    family=1,
+                    pairs_n=4,
+                ),
+                block_len=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 20),
+                    truncation_parameters=TruncationParameters(min=20, max=60),
+                ),
+                inter_trial_interval_duration=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 3),
+                    truncation_parameters=TruncationParameters(min=1, max=30),
+                ),
+                quiescent_duration=UniformDistribution(
+                    distribution_parameters=UniformDistributionParameters(min=1.0, max=1.0),
+                ),
+                min_block_reward=0,
+                is_baiting=True,
+                extend_block_on_no_response=True,
+                response_duration=1.0,
+                reward_consumption_duration=3.0,
+                kernel_size=2,
+            ),
+        )
+    ),
+    metrics_provider=MetricsProvider(metrics_from_dataset),
+)
+
+s_graduated = Stage(
+    name="graduated",
+    task=AindDynamicForagingTaskLogic(
+        task_parameters=AindDynamicForagingTaskParameters(
+            reward_size=RewardSize(right_value_volume=2.0, left_value_volume=2.0),
+            lick_spout_retraction=False,
+            trial_generator=CoupledTrialGeneratorSpec(
+                trial_generation_end_parameters=CoupledTrialGenerationEndConditions(
+                    max_trial=1000,
+                    max_time=75,
+                    min_time=30,
+                    ignore_win=30,
+                    ignore_ratio_threshold=0.83,
+                ),
+                behavior_stability_parameters=None,
+                reward_probability_parameters=RewardProbabilityParameters(
+                    base_reward_sum=0.45,
+                    family=1,
+                    pairs_n=4,
+                ),
+                block_len=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 20),
+                    truncation_parameters=TruncationParameters(min=20, max=60),
+                ),
+                inter_trial_interval_duration=ExponentialDistribution(
+                    distribution_parameters=ExponentialDistributionParameters(rate=1 / 3),
+                    truncation_parameters=TruncationParameters(min=1, max=30),
+                ),
+                quiescent_duration=UniformDistribution(
+                    distribution_parameters=UniformDistributionParameters(min=1.0, max=1.0),
+                ),
+                min_block_reward=0,
+                is_baiting=True,
+                extend_block_on_no_response=True,
+                response_duration=1.0,
+                reward_consumption_duration=3.0,
+                kernel_size=2,
+            ),
+        )
+    ),
+    metrics_provider=MetricsProvider(metrics_from_dataset),
+)
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py
new file mode 100644
index 0000000..43da247
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/metrics.py
@@ -0,0 +1,35 @@
+import os
+from typing import List
+
+from aind_behavior_curriculum import Metrics
+from pydantic import Field
+
+
+class DynamicForagingMetrics(Metrics):
+    """Metrics for dynamic foraging"""
+
+    foraging_efficiency_per_session: List[float] = Field(
+        min_length=1, description="Full history of foraging efficiency per session"
+    )
+    finished_trials_per_session: List[int] = Field(
+        min_length=1, description="Full history of trials finished per session"
+    )
+    total_sessions: int = Field(ge=0, description="Total sessions completed.")
+    sessions_at_current_stage: int = Field(ge=0, escription="Last consecutive sessions at current stage.")
+
+
+def metrics_from_dataset(data_directory: os.PathLike) -> DynamicForagingMetrics:
+    """TODO: query docdb for metrics from the previous session
+    https://github.com/AllenNeuralDynamics/aind-physio-arch/blob/dyf-curriculum-doc/doc/curriculum/architecture.md
+    
+    could maybe do UPath do be able to do local and remote files.
+
+    docdb_path = https://api.allenneuraldynamics.org/v1/metadata_index/data_assets    
+    """
+
+    return DynamicForagingMetrics(
+        foraging_efficiency_per_session=[0],
+        finished_trials_per_session=[0],
+        total_sessions=0,
+        sessions_at_current_stage=0,
+    )
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/utils.py b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/utils.py
new file mode 100644
index 0000000..d298f33
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/src/aind_behavior_dynamic_foraging_curricula/utils.py
@@ -0,0 +1,28 @@
+import os
+from pathlib import Path
+from typing import Any, TypeVar
+
+import pydantic
+from aind_behavior_curriculum import Curriculum, Metrics, Trainer, TrainerState
+
+TModel = TypeVar("TModel", bound=pydantic.BaseModel)
+TCurriculum = TypeVar("TCurriculum", bound=Curriculum)
+
+
+def model_from_json_file(json_path: os.PathLike | str, model: type[TModel]) -> TModel:
+    with open(Path(json_path), "r", encoding="utf-8") as file:
+        return model.model_validate_json(file.read())
+
+
+def trainer_state_from_file(path: str | os.PathLike, trainer: Trainer[TCurriculum]) -> TrainerState[TCurriculum]:
+    return model_from_json_file(path, trainer.trainer_state_model)
+
+
+def metrics_from_dataset_path(dataset_path: str | os.PathLike, trainer_state: TrainerState[Any]) -> Metrics:
+    stage = trainer_state.stage
+    if stage is None:
+        raise ValueError("Trainer state does not have a stage")
+    if stage.metrics_provider is None:
+        raise ValueError("Stage does not have a metrics provider")
+    metrics_provider = stage.metrics_provider
+    return metrics_provider.callable(dataset_path)
diff --git a/workspaces/aind-behavior-dynamic-foraging-curricula/tests/test_coupled_baiting.py b/workspaces/aind-behavior-dynamic-foraging-curricula/tests/test_coupled_baiting.py
new file mode 100644
index 0000000..2550465
--- /dev/null
+++ b/workspaces/aind-behavior-dynamic-foraging-curricula/tests/test_coupled_baiting.py
@@ -0,0 +1,181 @@
+import unittest
+
+from aind_behavior_dynamic_foraging_curricula.coupled_baiting import CURRICULUM, TRAINER
+from aind_behavior_dynamic_foraging_curricula.coupled_baiting.stages import (
+    s_final,
+    s_graduated,
+    s_stage_1,
+    s_stage_1_warmup,
+    s_stage_2,
+    s_stage_3,
+)
+from aind_behavior_dynamic_foraging_curricula.metrics import DynamicForagingMetrics
+
+
+def make_metrics(
+    foraging_efficiency_per_session: list[float] = None,
+    finished_trials_per_session: list[int] = None,
+    total_sessions: int = 1,
+    sessions_at_current_stage: int = 1,
+) -> DynamicForagingMetrics:
+    return DynamicForagingMetrics(
+        foraging_efficiency_per_session=finished_trials_per_session or [0.0],
+        finished_trials_per_session=finished_trials_per_session or [0],
+        total_sessions=total_sessions,
+        sessions_at_current_stage=sessions_at_current_stage,
+    )
+
+
+class TestCurriculumStructure(unittest.TestCase):
+    def test_all_stages_in_curriculum(self):
+        stages = CURRICULUM.see_stages()
+        stage_names = [s.name for s in stages]
+        self.assertIn("stage_1_warmup", stage_names)
+        self.assertIn("stage_1", stage_names)
+        self.assertIn("stage_2", stage_names)
+        self.assertIn("stage_3", stage_names)
+        self.assertIn("final", stage_names)
+        self.assertIn("graduated", stage_names)
+
+    def test_enrollment_starts_at_stage_1_warmup(self):
+        trainer_state = TRAINER.create_enrollment()
+        self.assertEqual(trainer_state.stage.name, "stage_1_warmup")
+
+
+class TestWarmupTransitions(unittest.TestCase):
+    def setUp(self):
+        self.trainer_state = TRAINER.create_trainer_state(stage=s_stage_1_warmup)
+
+    def test_warmup_to_stage_2_on_good_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[250], foraging_efficiency_per_session=[0.65])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_2")
+
+    def test_warmup_to_stage_1_after_first_session(self):
+        metrics = make_metrics(
+            finished_trials_per_session=[100], foraging_efficiency_per_session=[0.4], sessions_at_current_stage=1
+        )
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_1")
+
+    def test_warmup_no_transition_on_first_session_bad_performance(self):
+        metrics = make_metrics(
+            finished_trials_per_session=[100], foraging_efficiency_per_session=[0.4], sessions_at_current_stage=0
+        )
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_1_warmup")
+
+
+class TestStage1Transitions(unittest.TestCase):
+    def setUp(self):
+        self.trainer_state = TRAINER.create_trainer_state(stage=s_stage_1)
+
+    def test_stage_1_to_stage_2_on_good_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[200], foraging_efficiency_per_session=[0.6])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_2")
+
+    def test_stage_1_no_transition_on_poor_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[100], foraging_efficiency_per_session=[0.4])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_1")
+
+
+class TestStage2Transitions(unittest.TestCase):
+    def setUp(self):
+        self.trainer_state = TRAINER.create_trainer_state(stage=s_stage_2)
+
+    def test_stage_2_to_stage_3_on_good_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[300], foraging_efficiency_per_session=[0.65])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_3")
+
+    def test_stage_2_rollback_to_stage_1_on_poor_trials(self):
+        metrics = make_metrics(finished_trials_per_session=[150], foraging_efficiency_per_session=[0.6])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_1")
+
+    def test_stage_2_rollback_to_stage_1_on_poor_efficiency(self):
+        metrics = make_metrics(finished_trials_per_session=[199], foraging_efficiency_per_session=[0.5])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_1")
+
+    def test_stage_2_no_transition_on_middle_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[250], foraging_efficiency_per_session=[0.6])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_2")
+
+
+class TestStage3Transitions(unittest.TestCase):
+    def setUp(self):
+        self.trainer_state = TRAINER.create_trainer_state(stage=s_stage_3)
+
+    def test_stage_3_to_final_on_good_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[400], foraging_efficiency_per_session=[0.7])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "final")
+
+    def test_stage_3_rollback_to_stage_2_on_poor_trials(self):
+        metrics = make_metrics(finished_trials_per_session=[250], foraging_efficiency_per_session=[0.7])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_2")
+
+    def test_stage_3_rollback_to_stage_2_on_poor_efficiency(self):
+        metrics = make_metrics(finished_trials_per_session=[299], foraging_efficiency_per_session=[0.6])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_2")
+
+    def test_stage_3_no_transition_on_middle_performance(self):
+        metrics = make_metrics(finished_trials_per_session=[350], foraging_efficiency_per_session=[0.67])
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_3")
+
+
+class TestFinalTransitions(unittest.TestCase):
+    def setUp(self):
+        self.trainer_state = TRAINER.create_trainer_state(stage=s_final)
+
+    def test_final_to_graduated_on_excellent_performance(self):
+        metrics = make_metrics(
+            finished_trials_per_session=[450] * 5,
+            foraging_efficiency_per_session=[0.70] * 5,
+            total_sessions=10,
+            sessions_at_current_stage=5,
+        )
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "graduated")
+
+    def test_final_rollback_to_stage_3_on_poor_performance(self):
+        metrics = make_metrics(
+            finished_trials_per_session=[250] * 5,
+            foraging_efficiency_per_session=[0.55] * 5,
+            total_sessions=10,
+            sessions_at_current_stage=5,
+        )
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "stage_3")
+
+    def test_final_no_graduation_without_enough_sessions(self):
+        metrics = make_metrics(
+            finished_trials_per_session=[450] * 5,
+            foraging_efficiency_per_session=[0.70] * 5,
+            total_sessions=5,
+            sessions_at_current_stage=3,
+        )
+        updated = TRAINER.evaluate(self.trainer_state, metrics)
+        self.assertNotEqual(updated.stage.name, "graduated")
+
+    def test_graduated_is_absorbing(self):
+        trainer_state = TRAINER.create_trainer_state(stage=s_graduated)
+        metrics = make_metrics(
+            finished_trials_per_session=[500] * 5,
+            foraging_efficiency_per_session=[0.9] * 5,
+            total_sessions=20,
+            sessions_at_current_stage=10,
+        )
+        updated = TRAINER.evaluate(trainer_state, metrics)
+        self.assertEqual(updated.stage.name, "graduated")
+
+
+if __name__ == "__main__":
+    unittest.main()