diff --git a/README.md b/README.md
index ef662b0..c5c6b25 100755
--- a/README.md
+++ b/README.md
@@ -105,6 +105,7 @@ You agent can be based on an LLM hosted anywhere, you have available currently O
 └── tests/                                # contains all tests for the chat function
     ├── manual_agent_requests.py          # allows testing of the docker container through API requests
     ├── manual_agent_run.py               # allows testing of any LLM agent on a couple of example inputs
+    ├── test_example_inputs.py            # pytests for the example input files
     ├── test_index.py                     # pytests
     └── test_module.py                    # pytests
 ```
@@ -164,7 +165,7 @@ This will start the chat function and expose it on port `8080` and it will be op
 ```bash
 curl --location 'http://localhost:8080/2015-03-31/functions/function/invocations' \
 --header 'Content-Type: application/json' \
---data '{"body":"{\"message\": \"hi\", \"params\": {\"conversation_id\": \"12345Test\", \"conversation_history\": [{\"type\": \"user\", 
+--data '{"body":"{\"conversationId\": \"12345Test\", \"messages\": [{\"role\": \"USER\", \"content\": \"hi\"}], \"user\": {\"type\": \"LEARNER\"}}"}'
 ```
 
 #### Call Docker Container
@@ -183,21 +184,98 @@ http://localhost:8080/2015-03-31/functions/function/invocations
 Body (stringified within body for API request):
 
 ```JSON
-{"body":"{\"message\": \"hi\", \"params\": {\"conversation_id\": \"12345Test\", \"conversation_history\": [{\"type\": \"user\", \"content\": \"hi\"}]}}"}
+{"body":"{\"conversationId\": \"12345Test\", \"messages\": [{\"role\": \"USER\", \"content\": \"hi\"}], \"user\": {\"type\": \"LEARNER\"}}"}
 ```
 
-Body with optional Params:
-```JSON
+Body with optional fields:
+```json
 {
-    "message":"hi",
-    "params":{
-        "conversation_id":"12345Test",
-        "conversation_history":[{"type":"user","content":"hi"}],
-        "summary":" ",
-        "conversational_style":" ",
-        "question_response_details": "",
-        "include_test_data": true,
+  "conversationId": "<uuid>",
+  "messages": [
+    { "role": "USER", "content": "<previous user message>" },
+    { "role": "ASSISTANT", "content": "<previous assistant reply>" },
+    { "role": "USER", "content": "<current message>" }
+  ],
+  "user": {
+    "type": "LEARNER",
+    "preference": {
+      "conversationalStyle": "<stored style string>"
+    },
+    "taskProgress": {
+      "timeSpentOnQuestion": "30 minutes",
+      "accessStatus": "a good amount of time spent on this question today.",
+      "markedDone": "This question is still being worked on.",
+      "currentPart": {
+        "position": 0,
+        "timeSpentOnPart": "10 minutes",
+        "markedDone": "This part is not marked done.",
+        "responseAreas": [
+          {
+            "responseType": "EXPRESSION",
+            "totalSubmissions": 3,
+            "wrongSubmissions": 2,
+            "latestSubmission": {
+              "submission": "<student's last answer>",
+              "feedback": "<feedback text from evaluator>",
+              "answer": "<reference answer used for evaluation>"
+            }
+          }
+        ]
+      }
+    }
+  },
+  "context": {
+    "summary": "<compressed conversation history>",
+    "set": {
+      "title": "Fundamentals",
+      "number": 2,
+      "description": "<set description>"
+    },
+    "question": {
+      "title": "Understanding Polymorphism",
+      "number": 3,
+      "guidance": "<teacher guidance>",
+      "content": "<master question content>",
+      "estimatedTime": "15-25 minutes",
+      "parts": [
+        {
+          "position": 0,
+          "content": "<part prompt>",
+          "answerContent": "<part answer>",
+          "workedSolutionSections": [
+            { "position": 0, "title": "Step 1", "content": "..." }
+          ],
+          "structuredTutorialSections": [
+            { "position": 0, "title": "Hint", "content": "..." }
+          ],
+          "responseAreas": [
+            {
+              "position": 0,
+              "responseType": "EXPRESSION",
+              "answer": "<reference answer>",
+              "preResponseText": "<label shown before input>"
+            }
+          ]
+        }
+      ]
     }
+  }
+}
+```
+
+Response:
+
+```json
+{
+  "output": {
+    "role": "ASSISTANT",
+    "content": "<assistant reply text>"
+  },
+  "metadata": {
+    "summary": "<updated conversation summary>",
+    "conversationalStyle": "<updated style string>",
+    "processingTimeMs": 1234
+  }
 }
 ```
 
diff --git a/index.py b/index.py
index 0ad738d..d0610fe 100644
--- a/index.py
+++ b/index.py
@@ -1,52 +1,36 @@
 import json
+from pydantic import ValidationError
+
+from lf_toolkit.chat import ChatRequest
 from src.module import chat_module
-from src.agent.utils.types import JsonType
 
-def handler(event: JsonType, context):
+
+def handler(event, context):
     """
     Lambda handler function
     """
-    # Log the input event for debugging purposes
-    # print("Received event:", " ".join(json.dumps(event, indent=2).splitlines()))
-
     if "body" in event:
         try:
             event = json.loads(event["body"])
         except json.JSONDecodeError:
             return {
                 "statusCode": 400,
-                "body": "Invalid JSON format in the body or body not found. Please check the input."
+                "body": "Invalid JSON format in the body. Please check the input.",
             }
 
-    if "message" not in event:
-        return {
-            "statusCode": 400,
-            "body": "Missing 'message' key in event. Please confirm the key in the json body."
-        }
-    if "params" not in event:
-        return {
-            "statusCode": 400,
-            "body": "Missing 'params' key in event. Please confirm the key in the json body. Make sure it contains the necessary conversation_id."
-        }
-    
-    message = event.get("message")
-    params = event.get("params")
+    try:
+        request = ChatRequest.model_validate(event)
+    except ValidationError as e:
+        return {"statusCode": 400, "body": e.json()}
 
     try:
-        chatbot_response = chat_module(message, params)
+        result = chat_module(request)
     except Exception as e:
         return {
             "statusCode": 500,
-            "body": f"An error occurred within the chat_module(): {str(e)}"
+            "body": f"An error occurred within the chat_module(): {str(e)}",
         }
 
-    # Create a response
-    response = {
-        "statusCode": 200,
-        "body": json.dumps(chatbot_response)
-    }
-
-    # Log the response for debugging purposes
+    response = {"statusCode": 200, "body": result.model_dump_json()}
     print("Returning response:", " ".join(json.dumps(response, indent=2).splitlines()))
-
-    return response
\ No newline at end of file
+    return response
diff --git a/src/agent/agent.py b/src/agent/agent.py
index 31e23cb..38fedde 100644
--- a/src/agent/agent.py
+++ b/src/agent/agent.py
@@ -173,25 +173,22 @@ def pretty_response_value(self, event: dict) -> str:
         return event["messages"][-1].content
     
 agent = BaseAgent()
-def invoke_base_agent(query: str, conversation_history: list, summary: str, conversationalStyle: str, question_response_details: str, session_id: str) -> InvokeAgentResponseType:
+def invoke_base_agent(messages: list, summary: str, conversationalStyle: str, question_response_details: str, session_id: str) -> InvokeAgentResponseType:
     """
-    Call an agent that has no conversation memory and expects to receive all past messages in the params and the latest human request in the query.
+    Call an agent that has no conversation memory and expects to receive all messages
+    (including the current user message) and returns the chatbot response with updated metadata.
     If conversation history longer than X, the agent will summarize the conversation and will provide a conversational style analysis.
     """
     print(f'in invoke_base_agent(), thread_id = {session_id}')
 
     config = {"configurable": {"thread_id": session_id, "summary": summary, "conversational_style": conversationalStyle, "question_response_details": question_response_details}}
-    response_events = agent.app.invoke({"messages": conversation_history, "summary": summary, "conversational_style": conversationalStyle}, config=config, stream_mode="values") #updates
-    pretty_printed_response = agent.pretty_response_value(response_events) # get last event/ai answer in the response
-
-    # Gather Metadata from the agent
-    summary = agent.get_summary()
-    conversationalStyle = agent.get_conversational_style()
+    response_events = agent.app.invoke({"messages": messages, "summary": summary, "conversational_style": conversationalStyle}, config=config, stream_mode="values")
+    output = agent.pretty_response_value(response_events)
 
     print(f'in invoke_base_agent(), response generated by chatbot')
 
     return {
-        "input": query,
-        "output": pretty_printed_response,
-        "intermediate_steps": [str(summary), conversationalStyle, conversation_history]
+        "output": output,
+        "summary": str(agent.get_summary()),
+        "conversationalStyle": agent.get_conversational_style(),
     }
\ No newline at end of file
diff --git a/src/agent/utils/example_inputs/example_input_1.json b/src/agent/utils/example_inputs/example_input_1.json
index 5bd8071..b795437 100644
--- a/src/agent/utils/example_inputs/example_input_1.json
+++ b/src/agent/utils/example_inputs/example_input_1.json
@@ -1,168 +1,123 @@
 {
-  "message": "i dont remember anything",
-  "params": {
-    "include_test_data": true,
-    "conversation_history": [
-      { "type": "user", "content": "what should I do?" },
-      {
-        "type": "assistant",
-        "content": "It seems like you're currently working on Part (a) of the dot product question. Since you haven't submitted an answer yet, let's take a moment to break it down together. \n\nWhat do you remember about how to calculate the dot product of two vectors? Can you describe the steps you would take?"
-      },
-      { "type": "user", "content": "i dont remember anything" }
-    ],
-    "summary": "",
-    "conversational_style": "",
-    "question_response_details": {
-      "questionSubmissionSummary": [
-        {
-          "publishedPartId": "0e0432e4-90a2-47a1-b597-55f76596b7d5",
-          "publishedPartPosition": 0,
-          "publishedResponseAreaId": "ce28b12b-f583-4d83-a0e4-36b17127746a",
-          "publishedResponseAreaPosition": 0,
-          "responseAreaUniversalId": "f8857876-482d-411c-8ffc-734fb07712cf",
-          "publishedResponseAreaPreResponseText": "$\\vec{a} \\ \\cdot \\ \\vec{b} \\ =$",
-          "publishedResponseType": "NUMBER",
-          "publishedResponseConfig": null,
-          "totalSubmissions": 0,
-          "totalWrongSubmissions": 0
-        },
-        {
-          "publishedPartId": "a74a6fef-8c94-474c-b381-8d97a4b54725",
-          "publishedPartPosition": 1,
-          "publishedResponseAreaId": "f3be55ed-af9b-4483-ba45-636ccbad7a24",
-          "publishedResponseAreaPosition": 0,
-          "responseAreaUniversalId": "054bbcce-facb-4aaa-a1d2-7bec7627a6ef",
-          "publishedResponseAreaPreResponseText": "$\\left(\\vec{a}  - \\vec{b}\\right)\\cdot \\vec{c}\\  =$",
-          "publishedResponseType": "NUMBER",
-          "publishedResponseConfig": null,
-          "totalSubmissions": 0,
-          "totalWrongSubmissions": 0
-        },
-        {
-          "publishedPartId": "66160c45-0554-470a-88ae-82f36e755ef6",
-          "publishedPartPosition": 2,
-          "publishedResponseAreaId": "79260525-1edb-4f19-bcdd-d827b5b692f3",
-          "publishedResponseAreaPosition": 0,
-          "responseAreaUniversalId": "bba9308c-55c7-4733-9315-37bc26fc8ec1",
-          "publishedResponseAreaPreResponseText": "$\\left( \\ \\vec{a}  \\cdot \\vec{c} \\ \\right) \\vec{b}\\  =$",
-          "publishedResponseType": "MATRIX",
-          "publishedResponseConfig": { "cols": 1, "rows": 3 },
-          "totalSubmissions": 0,
-          "totalWrongSubmissions": 0
-        }
-      ],
-      "questionInformation": {
-        "questionTitle": "Dot Product",
-        "questionGuidance": "",
-        "questionContent": "$$\n\\vec{a}=\\begin{bmatrix}1 \\\\ 3\\\\ -2\\end{bmatrix} \\quad \\vec{b}=\\begin{bmatrix}0 \\\\ 3\\\\ 1\\end{bmatrix} \\quad \\vec{c}=\\begin{bmatrix} 1 \\\\\\ -1\\\\ -3\\end{bmatrix}\n$$",
-        "durationLowerBound": 1,
-        "durationUpperBound": 4,
-        "parts": [
+  "conversationId": "9f4d40af-5f65-4f90-ac8e-9b92fea92f9f",
+  "messages": [
+    { "role": "USER", "content": "How can I start solving this question?" }
+  ],
+  "user": {
+    "type": "LEARNER",
+    "preference": { "conversationalStyle": "" },
+    "taskProgress": {
+      "timeSpentOnQuestion": "58 minutes",
+      "accessStatus": "too much time spent on this question today.",
+      "markedDone": "This question is still being worked on.",
+      "currentPart": {
+        "position": 0,
+        "timeSpentOnPart": "37 minutes",
+        "markedDone": "This part is not marked done.",
+        "responseAreas": [
           {
-            "publishedPartId": "0e0432e4-90a2-47a1-b597-55f76596b7d5",
-            "publishedPartPosition": 0,
-            "publishedPartContent": "",
-            "publishedPartAnswerContent": "",
-            "publishedWorkedSolutionSections": [
-              {
-                "id": "a7b1150a-05b7-4337-b902-5c6b1835cc74",
-                "position": 0,
-                "title": "",
-                "content": "Assuming the given basis is orthonormal, the dot product between two vectors, $\\vec{a}$ and $\\vec{b}$, can be calculated simply by multiplying their corresponding components and summing them up:\n\n&#x20;      &#x20;\n\n$$\n\\begin{array}{rl}\\vec{a} \\cdot \\vec{b} &=\\begin{bmatrix}1 \\\\ 3\\\\ -2\\end{bmatrix}•\\begin{bmatrix}0 \\\\ 3\\\\ 1\\end{bmatrix} \\\\\\\\ &= (1 \\cdot 0) + (3 \\cdot 3) + (-2 \\cdot 1) \\\\\\\\ &= 0 + 9 + (-2) \\\\\\\\ &= 7\\end{array}\n$$\n\n&#x20;        &#x20;\n\nTherefore, the dot product between vectors $\\vec{a}$ and $\\vec{b}$ is \\$7\\$"
-              }
-            ],
-            "publishedResponseAreas": [
-              {
-                "id": "ce28b12b-f583-4d83-a0e4-36b17127746a",
-                "position": 0,
-                "universalResponseAreaId": "f8857876-482d-411c-8ffc-734fb07712cf",
-                "preResponseText": "$\\vec{a} \\ \\cdot \\ \\vec{b} \\ =$",
-                "Response": {
-                  "id": "4d0dfa85-fc34-4649-bb6e-0f194e8a5a04",
-                  "responseType": "NUMBER",
-                  "config": null,
-                  "answer": 7
-                },
-                "responseType": "NUMBER",
-                "answer": 7
-              }
-            ]
+            "responseType": "NUMBER",
+            "totalSubmissions": 1,
+            "wrongSubmissions": 1,
+            "latestSubmission": {
+              "submission": 1,
+              "feedback": "Incorrect",
+              "answer": "26"
+            }
           },
           {
-            "publishedPartId": "a74a6fef-8c94-474c-b381-8d97a4b54725",
-            "publishedPartPosition": 1,
-            "publishedPartContent": "",
-            "publishedPartAnswerContent": "",
-            "publishedWorkedSolutionSections": [
-              {
-                "id": "0e91a91d-c536-4120-a70f-5cfea57b4235",
-                "position": 0,
-                "title": "",
-                "content": "To calculate $\\left(\\vec{a} - \\vec{b}\\right) \\cdot \\vec{c}$ , we first need to find the vector resulting from the subtraction of $\\vec{b}$ from $\\vec{a}$:\n\n&#x20;    &#x20;\n\n$$\n\\begin{array}{rl}\\vec{a} - \\vec{b} &= \\begin{bmatrix}1 \\\\ 3 \\\\ -2\\end{bmatrix} - \\begin{bmatrix}0 \\\\ 3 \\\\ 1\\end{bmatrix} \\\\\\\\&= \\begin{bmatrix}1 - 0 \\\\ 3 - 3 \\\\ -2 - 1\\end{bmatrix} \\\\\\\\&= \\begin{bmatrix}1 \\\\ 0 \\\\ -3\\end{bmatrix}\\end{array}\n$$\n\n\n\nNext, we can compute the dot product of $\\left(\\vec{a} - \\vec{b}\\right)$ and $\\vec{c}$\n\n&#x20;     &#x20;\n\n$$\n\\begin{array}{rl}\\left(\\vec{a} - \\vec{b}\\right) \\cdot \\vec{c} &= \\begin{bmatrix}1 \\\\ 0 \\\\ -3\\end{bmatrix} \\cdot \\begin{bmatrix}1 \\\\ -1 \\\\ -3\\end{bmatrix} \\\\\\\\ &= (1 \\cdot 1) + (0 \\cdot -1) + (-3 \\cdot -3) \\\\\\\\&= 1 + 0 + 9 \\\\\\\\&= 10\\end{array}\n$$\n\n\n\nTherefore, $\\left(\\vec{a} - \\vec{b}\\right) \\cdot \\vec{c}$ is equal to \\$10"
-              }
-            ],
-            "publishedResponseAreas": [
-              {
-                "id": "f3be55ed-af9b-4483-ba45-636ccbad7a24",
-                "position": 0,
-                "universalResponseAreaId": "054bbcce-facb-4aaa-a1d2-7bec7627a6ef",
-                "preResponseText": "$\\left(\\vec{a}  - \\vec{b}\\right)\\cdot \\vec{c}\\  =$",
-                "Response": {
-                  "id": "01edd054-b1fd-4049-8551-a8551d7a63ea",
-                  "responseType": "NUMBER",
-                  "config": null,
-                  "answer": 10
-                },
-                "responseType": "NUMBER",
-                "answer": 10
-              }
-            ]
-          },
-          {
-            "publishedPartId": "66160c45-0554-470a-88ae-82f36e755ef6",
-            "publishedPartPosition": 2,
-            "publishedPartContent": "",
-            "publishedPartAnswerContent": "",
-            "publishedWorkedSolutionSections": [
-              {
-                "id": "c3225276-7bf8-4962-a459-d9583442c26e",
-                "position": 0,
-                "title": "",
-                "content": "To calculate $\\left( \\ \\vec{a} \\cdot \\vec{c} \\ \\right) \\vec{b}$ , we first need to find the dot product of vectors $\\vec{a}$ and $\\vec{c}$\n\n&#x20;       &#x20;\n\n$$\n\\begin{array}{rl}\\vec{a} \\cdot \\vec{c} &= \\begin{bmatrix}1 \\\\ 3 \\\\ -2\\end{bmatrix} \\cdot \\begin{bmatrix}1 \\\\ -1 \\\\ -3\\end{bmatrix} \\\\\\\\ &= (1 \\cdot 1) + (3 \\cdot -1) + (-2 \\cdot -3) \\\\\\\\&= 1 - 3 + 6 \\\\\\\\&= 4\\end{array}\n$$\n\n&#x20;          &#x20;\n\nNext, we can scale $\\vec{b}$ by $\\vec{a} \\cdot \\vec{c}$\n\n&#x20;        &#x20;\n\n$$\n\\begin{array}{rl}\\left( \\ \\vec{a} \\cdot \\vec{c} \\ \\right) \\vec{b} &= 4\\begin{bmatrix}0 \\\\ 3 \\\\ 1\\end{bmatrix}  \\\\\\\\ &= \\begin{bmatrix}4\\cdot0 \\\\ 4\\cdot3 \\\\ 4\\cdot1\\end{bmatrix}  \\\\\\\\&= \\begin{bmatrix}0 \\\\ 12 \\\\ 4\\end{bmatrix} \\end{array}\n$$\n\n&#x20;        &#x20;\n"
-              }
-            ],
-            "publishedResponseAreas": [
-              {
-                "id": "79260525-1edb-4f19-bcdd-d827b5b692f3",
-                "position": 0,
-                "universalResponseAreaId": "bba9308c-55c7-4733-9315-37bc26fc8ec1",
-                "preResponseText": "$\\left( \\ \\vec{a}  \\cdot \\vec{c} \\ \\right) \\vec{b}\\  =$",
-                "Response": {
-                  "id": "cc759374-175f-40be-8481-2c81e34795b6",
-                  "responseType": "MATRIX",
-                  "config": { "cols": 1, "rows": 3 },
-                  "answer": [["0"], ["12"], ["4"]]
-                },
-                "responseType": "MATRIX",
-                "answer": [["0"], ["12"], ["4"]]
-              }
-            ]
+            "responseType": "NUMBER",
+            "totalSubmissions": 1,
+            "wrongSubmissions": 1,
+            "latestSubmission": {
+              "submission": 20,
+              "feedback": "Incorrect",
+              "answer": "53"
+            }
           }
         ]
-      },
-      "questionAccessInformation": {
-        "estimatedMinimumTime": "1 minute",
-        "estimaredMaximumTime": "4 minutes",
-        "timeTaken": "20 minutes",
-        "accessStatus": "too much time spent on this question.",
-        "markedDone": "",
-        "currentPart": {
-          "id": "0e0432e4-90a2-47a1-b597-55f76596b7d5",
-          "position": 0
-        }
       }
+    }
+  },
+  "context": {
+    "summary": "",
+    "set": {
+      "title": "Computing",
+      "number": 8,
+      "description": "Exercises on number systems and binary arithmetic."
     },
-    "conversation_id": "7a65b6ed-85d1-4621-8efb-4fc8e9c5a8de",
-    "agent_type": "base"
+    "question": {
+      "title": "Binary Numbers",
+      "number": 0,
+      "guidance": "",
+      "content": "",
+      "estimatedTime": "5-10 minutes",
+      "parts": [
+        {
+          "position": 0,
+          "content": "Convert the following numbers to decimal: $11010_2$, $110101_2$.",
+          "answerContent": "$11010_2 = 26_{10}$\\n\\n$110101_2 = 53_{10}$&#x20;\\n\\n&#x20;&#x20;",
+          "workedSolutionSections": [
+            {
+              "position": 0,
+              "title": "",
+              "content": "$11010_2 = (0\\\\times1) + (1\\\\times2) + (0\\\\times4) + (1\\\\times8) + (1\\\\times16) = \\\\boxed{26_{10}}$&#x20;\\n\\n***\\n\\n$110101_2 = (1\\\\times1) + (0\\\\times2) + (1\\\\times4) + (0\\\\times8) + (1\\\\times16) + (1\\\\times32) = \\\\boxed{53_{10}}$&#x20;\\n\\n&#x20;"
+            }
+          ],
+          "structuredTutorialSections": [],
+          "responseAreas": [
+            {
+              "position": 0,
+              "responseType": "NUMBER",
+              "answer": 26,
+              "preResponseText": "$11010_2 =$"
+            },
+            {
+              "position": 1,
+              "responseType": "NUMBER",
+              "answer": 53,
+              "preResponseText": "$110101_2$"
+            }
+          ]
+        },
+        {
+          "position": 1,
+          "content": "Convert the following numbers to binary: $101_{10}$, $16_{10}$.",
+          "answerContent": "$101_{10} = 1100101_2$&#x20;\\n\\n$16_{10} = 10000_2$&#x20;\\n\\n&#x20;&#x20;",
+          "workedSolutionSections": [
+            {
+              "position": 0,
+              "title": "",
+              "content": ""
+            },
+            {
+              "position": 0,
+              "title": "By repeated division",
+              "content": "$101_{10}$ can be divided by 2 to give a quotient of 50 and a remainder of 1. The remainder is the first binary digit: $1_2$.\\n\\n***\\n\\n$50_{10}$ divided by 2 gives a quotient of 25 and a remainder of zero, so the second binary digit is 0: $01_2$.\\n\\n***\\n\\n$25_{10}$ divided by 2 gives a quotient of 12 and a remainder of 1, so the third binary digit is 1: $101_2$\\n\\n***\\n\\n$12_{10}$ divided by 2 gives a quotient of 6 and a remainder of 0, so the fourth binary digit is 0: $0101_2$\\n\\n***\\n\\n$6_{10}$ divided by 2 gives a quotient of 3 and a remainder of 0, so the fifth binary digit is 0: $00101_2$\\n\\n***\\n\\n$3_{10}$ divided by 2 gives a quotient of 1 and a remainder of 1, so the sixth binary digit is 1: $100101_2$\\n\\n***\\n\\n$1_{10}$ divided by 2 gives a quotient of zero and a remainder of 1, so the seventh binary digit is 1: $\\\\boxed{1100101_2}$.&#x20;\\n\\n&#x20;&#x20;"
+            },
+            {
+              "position": 1,
+              "title": "By inspection",
+              "content": "$101_{10}$ can be written in terms of powers of 2 as $101 = 64 + 32 + 4 + 1 = 2^6 + 2^5 + 2^2 + 2^0$, so its binary representation is $\\\\boxed{1100101_2}$.\\n\\n***\\n\\n$16_{10}$ is already a power of 2 ($2^4$), so its binary representation will have 1 bit set: $\\\\boxed{10000_2}$.&#x20;\\n\\n&#x20; &#x20;"
+            }
+          ],
+          "structuredTutorialSections": [],
+          "responseAreas": [
+            {
+              "position": 0,
+              "responseType": "NUMBER",
+              "answer": 1100101,
+              "preResponseText": "$101_{10} = $"
+            },
+            {
+              "position": 1,
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+              "preResponseText": "$16_{10} = $"
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diff --git a/src/agent/utils/example_inputs/example_input_2.json b/src/agent/utils/example_inputs/example_input_2.json
index 503ece0..12a9a59 100644
--- a/src/agent/utils/example_inputs/example_input_2.json
+++ b/src/agent/utils/example_inputs/example_input_2.json
@@ -1,143 +1,97 @@
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-        "content": "what is the function value when x is between -1 0"
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+    "summary": "noting was discussed yet",
+    "set": { "title": "Physics", "number": 7, "description": "" },
+    "question": {
+      "title": "Work done",
+      "number": 0,
+      "guidance": "See section 1.11.",
+      "content": "**(L3)** A father pulls a child on a sled with a rope that has a constant tension of $F =100\\\\text{N}$ and makes an angle of $20^\\\\circ$ to the horizontal. Calculate the work he performs after pulling the child for $10\\\\text{m}$.&#x20;\\n\\n![](image)\\n",
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         {
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+          "position": 0,
+          "content": "Calculate the work he performs after pulling the child for $10\\\\text{m}$.&#x20;\\n",
+          "answerContent": "$W = 939.7\\\\text{J}$\\n",
+          "workedSolutionSections": [
+            {
+              "position": 0,
+              "title": "",
+              "content": "We require the force component parallel to the direction of travel, and so $W = \\\\vec{F}\\\\cdot\\\\vec{d}$ (the projection of $\\\\vec{F}$ onto $\\\\vec{d}$) (**section 1.11**). Hence applying the dot product definition to evaluate this (**section 1.8**):\\n\\n***\\n\\n$$\\n\\\\begin{aligned}\\nW & = \\\\vec{F}\\\\cdot \\\\vec{d} \\\\\\\\\\n& = 100\\\\cdot10\\\\cos\\\\theta \\\\\\\\\\n& = 939.7\\\\text{J} \\n\\\\end{aligned}\\n$$\\n"
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+              "position": 0,
+              "title": null,
+              "content": "Can you express the work done as a dot product (**section 1.11**)?\\n\\n\\n***\\n\\nEvaluate the dot product using the dot product definition (**section 1.8**).\\n"
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+          "position": 1,
+          "content": "Why does he not pull at a shallower angle (closer to the horizontal)?\\n",
+          "answerContent": "",
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+            {
+              "position": 0,
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+              "content": "Pulling at a shallower angle (closer to horizontal) would require less work or allow him to pull less strongly, but it reduces the reaction force that he feels too, which reduces his maximum pulling force, and also allow him to gain more leverage as he pulls (he can lean forward and use his weight to pull whilst pivoted at his feet).&#x20;\\n"
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+                "[true] ... reduces the reaction force acting on him, hence reducing the maximum pulling force.",
+                "[false] ... is a more awkward angle for the man to maintain, causing him to strain his muscles.",
+                "[false] ... increases the friction between the sledge and the ground, making it more difficult to move."
+              ],
+              "preResponseText": "Pulling at a shallower angle..."
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-      "questionInformation": {
-        "questionTitle": "Piecewise function Fourier series",
-        "questionGuidance": "",
-        "questionContent": "Find $a_0$, $a_n$ and $b_n$ for the Fourier series of $f(x)$, which is assumed to have period $4$.\n\n&#x20;&#x20;\n\n$$\nf(x)= \\begin{cases}0, & -2 \\leq x<-1 \\\\\\ \\frac{2 k}{3}, & -1 \\leq x<1 \\\\\\ -\\frac{k}{2}, & 1 \\leq x<2.\\end{cases}\n$$\n",
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-            "publishedPartAnswerContent": "$$\na_0=\\frac{5k}{12}\n$$\n\n&#x20;&#x20;\n\n&#x20;&#x20;\n\n$$\n\\begin{align*}\na_n &= \\dfrac{11k}{6n \\pi} \\sin \\left( \\dfrac{n \\pi}{2} \\right) \\\\[1em]\n &= \\dfrac{11k}{6n \\pi} \\frac{1-(-1)^n}{2}  (-1)^{^{\\frac{n+3}{2}}} \\\\[1em]\n&= (-1)^{n+1}\\frac{11k}{6(2n-1)\\pi}\n\\end{align*}\n$$\n\n&#x20;&#x20;\n\n&#x20;&#x20;\n\n$$\n\\begin{align*}\nb_n &= \\frac{k}{2n \\pi} \\left( \\cos \\left( \\frac{n \\pi}{2} \\right) - \\cos(n \\pi) \\right) \\\\[1em]\nb_n &= \\frac{k}{2n \\pi} \\left( \\frac{1+(-1)^n}{2}(-1)^{\\frac{n}{2}} - (-1)^n \\right)\n\\end{align*}\n\n$$\n",
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-              {
-                "id": "d41e73da-331d-4897-b6f6-15031469502c",
-                "position": 0,
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-                "content": "Recall the Fourier series equations for period $2L$:\n\n&#x20;&#x20;\n\n$$\na_0 = \\frac{1}{L} \\int_{-L}^L {f(x)} \\, \\text{d}x\n\n$$\n\n&#x20;&#x20;\n\n$$\na_n = \\frac{1}{L} \\int_{-L}^L {f(x)} \\cos\\left(\\frac{n \\pi x}{L}\\right) \\, \\text{d}x\n$$\n\n&#x20;&#x20;\n\n$$\nb_n = \\frac{1}{L} \\int_{-L}^L {f(x)} \\sin\\left(\\frac{n \\pi x}{L}\\right) \\, \\text{d}x\n$$\n\n***\n\n$$\n2L=4\n$$\n\n$$\nL=2\n$$\n\n***\n\n### **Finding $a_0$:**\n\n$$\na_0 = \\frac{1}{2} \\int_{-2}^2 {f(x)} \\, \\text{d}x\n$$\n\n&#x20;&#x20;\n\n$$\na_0 = \\frac{1}{2} \\left( \\int_{-2}^{-1} 0 \\, \\text{d}x + \\int_{-1}^1 \\frac{2k}{3} \\, \\text{d}x + \\int_1^2 -\\frac{k}{2} \\, \\text{d}x \\right)\n\n$$\n\n&#x20;&#x20;\n\n$$\na_0=\\frac{5k}{12}\n$$\n\n***\n\n### **Finding $a_n$:**\n\n$$\na_n = \\frac{1}{2} \\int_{-2}^2 {f(x)} \\cos \\left( \\frac{n \\pi x}{L} \\right) \\, \\text{d}x\n\n$$\n\n&#x20;&#x20;\n\n$$\na_n = \\frac{1}{2} \\left( \\int_{-2}^{-1} 0 \\, \\text{d}x + \\int_{-1}^1 \\frac{2k}{3} \\cos \\left( \\frac{n \\pi x}{2} \\right) \\, \\text{d}x + \\int_1^2 -\\frac{k}{2} \\cos \\left( \\frac{n \\pi x}{2} \\right) \\, \\text{d}x \\right)\n\n$$\n\n&#x20;&#x20;\n\nAfter evaluating the integrals, the following is obtained:\n\n&#x20;&#x20;\n\n$$\na_n=\\frac{k}{3}\\left(\\frac{2}{n \\pi} \\sin \\left(\\frac{n \\pi}{2}\\right)-\\frac{2}{n \\pi} \\sin \\left(-\\frac{n \\pi}{2}\\right)\\right)-\\frac{k}{4}\\left(\\frac{2}{n \\pi} \\sin (n \\pi)-\\frac{2}{n \\pi} \\sin \\left(\\frac{n \\pi}{2}\\right)\\right)\n$$\n\n&#x20;&#x20;\n\n*   The second $\\sin$ term can be written as: $-\\frac{2}{n \\pi} \\sin \\left(-\\frac{n \\pi}{2}\\right)=\\frac{2}{n \\pi} \\sin \\left(\\frac{n \\pi}{2}\\right)$\n*   The third $\\sin$ term is always zero.\n\n&#x20;&#x20;\n\n$$\na_n=\\frac{k}{3}\\left(\\frac{4}{n \\pi} \\sin \\left(\\frac{n \\pi}{2}\\right)\\right)-\\frac{k}{4}\\left(-\\frac{2}{n \\pi} \\sin \\left(\\frac{n \\pi}{2}\\right)\\right)\n$$\n\n&#x20;&#x20;\n\nSome manipulation results in:\n\n&#x20;&#x20;\n\n$$\na_n = \\dfrac{11k}{6n \\pi} \\sin \\left( \\dfrac{n \\pi}{2} \\right)\n$$\n\n**Further simplification of $a_n$:**\n\nThe $\\sin \\left( \\dfrac{n \\pi}{2} \\right)$ term can be simplified by considering the pattern with increasing $n$:\n\n&#x20;&#x20;\n\n$$\n\\sin\\left(\\frac{n\\pi}{2}\\right) = \\begin{cases}\n0 & \\text{if $n=0$} \\\\\n1 & \\text{if $n=1$} \\\\\n0 & \\text{if $n=2$} \\\\\n-1 & \\text{if $n=3$} \\\\\n0 & \\text{if $n=4$} \\\\\n\\vdots & \\vdots\n\\end{cases}\n$$\n\nThis can be achieved as follows:\n\n$$\n\\sin \\left( \\dfrac{n \\pi}{2} \\right)=\\frac{1-(-1)^n}{2} (-1)^{^{\\frac{n+3}{2}}}\n$$\n\n&#x20;&#x20;\n\n$$\na_n = \\dfrac{11k}{6n \\pi} \\frac{1-(-1)^n}{2}  (-1)^{^{\\frac{n+3}{2}}}\n$$\n\n$$\n\n\n$$\n\n&#x20;&#x20;\n\nHowever, since $\\sin \\left( \\dfrac{n \\pi}{2} \\right)$ is zero for all even $n$, the expression can alternatively be written as:\n\n&#x20;&#x20;\n\n$$\na_n=(-1)^{n+1}\\frac{11k}{6(2n-1)\\pi} \n$$\n\n***\n\n### **Finding $b_n$:**\n\n$$\nb_n = \\frac{1}{2} \\int_{-2}^2 {f(x)} \\sin\\left(\\frac{n \\pi x}{L}\\right) \\, \\text{d}x\n$$\n\n&#x20;&#x20;\n\n$$\nb_n = \\frac{1}{2} \\left( \\int_{-2}^{-1} 0 \\, \\text{d}x + \\int_{-1}^1 \\frac{2k}{3} \\sin \\left( \\frac{n \\pi x}{2} \\right) \\, \\text{d}x + \\int_1^2 -\\frac{k}{2} \\sin \\left( \\frac{n \\pi x}{2} \\right) \\, \\text{d}x \\right)\n$$\n\n&#x20;&#x20;\n\nAfter evaluating the integrals, the following is obtained:\n\n&#x20;  &#x20;\n\n$$\nb_n=\\frac{k}{3}\\left(-\\frac{2}{n \\pi} \\cos \\left(\\frac{n \\pi}{2}\\right)+\\frac{2}{n \\pi} \\cos \\left(\\frac{n \\pi}{2}\\right)\\right)-\\frac{k}{4}\\left(-\\frac{2}{n \\pi} \\cos (n \\pi)+\\frac{2}{n \\pi} \\cos \\left(\\frac{n \\pi}{2}\\right)\\right)\n$$\n\n(note that the second $\\cos$ term has positive argument, because $\\cos$ is an even function.)\n\n&#x20;&#x20;\n\nSimplifying this expression yields the answer. Note that $\\cos(n\\pi)$ has been replaced with $(-1)^n$.\n\n&#x20;&#x20;\n\n$$\nb_n = \\frac{k}{2n \\pi} \\left( \\cos \\left( \\frac{n \\pi}{2} \\right) - \\cos(n \\pi) \\right)\n$$\n\n&#x20;&#x20;\n\n**Further simplification of** $b_n$**:**\n\n*   The $\\cos(n\\pi)$ term can be replaced by $(-1)^n$.\n*   The $\\cos\\left(\\frac{n\\pi}{2}\\right)$ term can be simplified by considering the pattern with increasing $n$:\n\n    &#x20;&#x20;\n\n$$\n\\cos\\left(\\frac{n\\pi}{2}\\right) = \\begin{cases}\n1 & \\text{if $n=0$} \\\\\n0 & \\text{if $n=1$} \\\\\n-1 & \\text{if $n=2$} \\\\\n0 & \\text{if $n=3$} \\\\\n1 & \\text{if $n=4$} \\\\\n\\vdots & \\vdots\n\\end{cases}\n$$\n\nThis can be achieved as follows:\n\n$$\n\\cos\\left(\\frac{n\\pi}{2}\\right) =\\frac{1+(-1)^n}{2}(-1)^{\\frac{n}{2}}\n$$\n\nFinally, this yields:\n\n&#x20;&#x20;\n\n$$\nb_n = \\frac{k}{2n \\pi} \\left( \\frac{1+(-1)^n}{2}(-1)^{\\frac{n}{2}} - (-1)^n \\right)\n$$\n\n&#x20;&#x20;\n\n(Note that this expression may seem less concise that simply including the cos(n\\*pi/2) but is much more desirable and efficient in a numerical algorithm).\n"
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 }
diff --git a/src/agent/utils/example_inputs/example_input_3.json b/src/agent/utils/example_inputs/example_input_3.json
index d93ac92..11cdbf6 100644
--- a/src/agent/utils/example_inputs/example_input_3.json
+++ b/src/agent/utils/example_inputs/example_input_3.json
@@ -1,460 +1,208 @@
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-                "position": 0,
-                "title": "",
-                "content": "As we made no mention that the vectors are represented in different basis, we can assume that they all share the same basis set.\n\n&#x20; &#x20;\n\n$$\n\\begin{array}{rl}\n3\\vec{a}-2\\vec{c}+3\\vec{b} &=3\\begin{bmatrix}1 \\\\ 2\\\\ 3\\end{bmatrix}-2\\begin{bmatrix}0 \\\\ 4\\\\ -1\\end{bmatrix}+3\\begin{bmatrix}-2 \\\\ 3\\\\ -4\\end{bmatrix}\n\\\\\\\\\n&= 3\\left(\\begin{bmatrix}1 \\\\ 2\\\\ 3\\end{bmatrix}+\\begin{bmatrix}-2 \\\\ 3\\\\ -4\\end{bmatrix}\\right)-2\\begin{bmatrix}0 \\\\ 4\\\\ -1\\end{bmatrix}\n\\\\\\\\\n&= 3\\begin{bmatrix}1-2 \\\\ 2+3\\\\ 3-4\\end{bmatrix}-2\\begin{bmatrix}0 \\\\ 4\\\\ -1\\end{bmatrix}\n\\\\\\\\\n&= 3\\begin{bmatrix}-1 \\\\ 5\\\\ -1\\end{bmatrix}-2\\begin{bmatrix}0 \\\\ 4\\\\ -1\\end{bmatrix}\n\\\\\\\\\n&= \\begin{bmatrix}-3 \\\\ 15\\\\ -3\\end{bmatrix}+\\begin{bmatrix}0 \\\\ -8\\\\ 2\\end{bmatrix}\n\\\\\\\\\n&= \\begin{bmatrix}-3+0 \\\\ 15-8\\\\ -3+2\\end{bmatrix}\n\\\\\\\\\n&= \\begin{bmatrix}-3 \\\\ 7\\\\ -1\\end{bmatrix}\n\\end{array}\n$$"
-              }
-            ],
-            "publishedResponseAreas": [
-              {
-                "id": "1a5fb3fb-001d-4ed5-9606-2a73fcae036c",
-                "position": 0,
-                "universalResponseAreaId": "c98844ba-3fd2-4154-8713-1d76bfaf610c",
-                "preResponseText": "$3\\vec{a}-2\\vec{c}+3\\vec{b}=$",
-                "Response": {
-                  "id": "c5f1c9a9-eb13-4b2e-83ad-f9a3bd87a056",
-                  "responseType": "MATRIX",
-                  "config": { "cols": 1, "rows": 3 },
-                  "answer": [["-3"], ["7"], ["-1"]]
-                },
-                "responseType": "MATRIX",
-                "answer": [["-3"], ["7"], ["-1"]]
-              }
-            ]
-          }
-        ]
-      },
-      "questionAccessInformation": {
-        "estimatedMinimumTime": "1 minute",
-        "estimaredMaximumTime": "3 minutes",
-        "timeTaken": "13 minutes",
-        "accessStatus": "too much time spent on this question.",
-        "markedDone": "Part (a) was marked done",
-        "currentPart": {
-          "id": "04d2cab2-eeca-4c1f-bcef-6401fe4ec635",
-          "position": 0
+          "position": 4,
+          "content": "",
+          "answerContent": "",
+          "workedSolutionSections": [
+            {
+              "position": 1,
+              "title": "",
+              "content": "$$\n3\\vec{a}-2\\vec{c}+3\\vec{b} = \\begin{bmatrix}-3 \\\\ 7\\\\ -1\\end{bmatrix}\n$$"
+            }
+          ],
+          "structuredTutorialSections": [],
+          "responseAreas": [
+            {
+              "position": 0,
+              "responseType": "MATRIX",
+              "answer": [["-3"], ["7"], ["-1"]],
+              "preResponseText": "$3\\vec{a}-2\\vec{c}+3\\vec{b}=$"
+            }
+          ]
         }
-      }
-    },
-    "conversation_id": "2f95c229-af43-4c1f-918a-0fd428178acf",
-    "agent_type": "base"
+      ]
+    }
   }
 }
diff --git a/src/agent/utils/parse_json_context_to_prompt.py b/src/agent/utils/parse_json_context_to_prompt.py
index a233126..f6b248e 100644
--- a/src/agent/utils/parse_json_context_to_prompt.py
+++ b/src/agent/utils/parse_json_context_to_prompt.py
@@ -9,13 +9,11 @@
 class StudentLatestSubmission:
     def __init__(
         self,
-        universalResponseAreaId: Optional[str] = None,
         answer: Optional[str] = None,
         submission: Optional[str] = None,
         feedback: Optional[str] = None,
         rawResponse: Optional[dict] = None,
     ):
-        self.universalResponseAreaId = universalResponseAreaId
         self.answer = answer
         self.submission = submission
         self.feedback = feedback
@@ -24,11 +22,8 @@ def __init__(
 class StudentWorkResponseArea:
     def __init__(
         self,
-        publishedPartId: Optional[str] = None,
         publishedPartPosition: Optional[int] = None,
-        publishedResponseAreaId: Optional[str] = None,
         publishedResponseAreaPosition: Optional[int] = None,
-        responseAreaUniversalId: Optional[str] = None,
         publishedResponseAreaPreResponseText: Optional[str] = None,
         publishedResponseType: Optional[str] = None,
         publishedResponseConfig: Optional[dict] = None,
@@ -36,11 +31,8 @@ def __init__(
         totalWrongSubmissions: Optional[int] = None,
         latestSubmission: Optional[StudentLatestSubmission] = None,
     ):
-        self.publishedPartId = publishedPartId
         self.publishedPartPosition = publishedPartPosition
-        self.publishedResponseAreaId = publishedResponseAreaId
         self.publishedResponseAreaPosition = publishedResponseAreaPosition
-        self.responseAreaUniversalId = responseAreaUniversalId
         self.publishedResponseAreaPreResponseText = publishedResponseAreaPreResponseText
         self.publishedResponseType = publishedResponseType
         self.publishedResponseConfig = publishedResponseConfig
@@ -52,17 +44,13 @@ def __init__(
 class ResponseAreaDetails:
     def __init__(
         self,
-        id: Optional[str] = None,
         position: Optional[int] = None,
-        universalResponseAreaId: Optional[str] = None,
         preResponseText: Optional[str] = None,
         responseType: Optional[str] = None,
         answer: Optional[dict] = None,
         Response: Optional[dict] = None,
     ):
-        self.id = id
         self.position = position
-        self.universalResponseAreaId = universalResponseAreaId
         self.preResponseText = preResponseText
         self.responseType = responseType
         self.answer = answer
@@ -71,7 +59,6 @@ def __init__(
 class PartDetails:
     def __init__(
         self,
-        publishedPartId: Optional[str] = None,
         publishedPartPosition: Optional[int] = None,
         publishedPartContent: Optional[str] = None,
         publishedPartAnswerContent: Optional[str] = None,
@@ -79,7 +66,6 @@ def __init__(
         publishedStructuredTutorialSections: Optional[List[dict]] = [],
         publishedResponseAreas: Optional[List[Optional[ResponseAreaDetails]]] = [],
     ):
-        self.publishedPartId = publishedPartId
         self.publishedPartPosition = publishedPartPosition
         self.publishedPartContent = publishedPartContent
         self.publishedPartAnswerContent = publishedPartAnswerContent
@@ -97,6 +83,7 @@ def __init__(
         questionTitle: Optional[str] = None,
         questionGuidance: Optional[str] = None,
         questionContent: Optional[str] = None,
+        estimatedTime: Optional[str] = None,
         durationLowerBound: Optional[int] = None,
         durationUpperBound: Optional[int] = None,
         parts: Optional[List[PartDetails]] = [],
@@ -108,23 +95,20 @@ def __init__(
         self.questionTitle = questionTitle
         self.questionGuidance = questionGuidance
         self.questionContent = questionContent
+        self.estimatedTime = estimatedTime
         self.durationLowerBound = durationLowerBound
         self.durationUpperBound = durationUpperBound
-        self.parts = [PartDetails(**part) for part in parts] 
+        self.parts = [PartDetails(**part) for part in parts]
 
 # questionAccessInformation type
 class CurrentPart:
     def __init__(
-        self, 
-        id: str = None, 
-        position: int = None, 
-        universalPartId: Optional[str] = None,
-        timeTakenPart: Optional[str] = None, 
+        self,
+        position: int = None,
+        timeTakenPart: Optional[str] = None,
         markedDonePart: Optional[str] = None
     ):
-        self.id = id
         self.position = position
-        self.universalPartId = universalPartId
         self.timeTakenPart = timeTakenPart
         self.markedDonePart = markedDonePart
 
@@ -165,35 +149,35 @@ def parse_json_to_structured_prompt(
     
     if not question_information:
         return PromptFormatter.format_error_message()
-    
-    # Convert to proper objects
-    submission_summary = [StudentWorkResponseArea(**summary) for summary in question_submission_summary]
-    question_info = QuestionDetails(**question_information)
-    access_info = QuestionAccessInformation(**question_access_information) if question_access_information else None
-    
+
+    submission_summary = question_submission_summary
+    question_info = question_information
+    access_info = question_access_information
+
     # TODO: EXPERIMENTAL - Remove later
     # if question_info.setNumber is not None:
     #     if (question_info.setNumber + 1) % 2 != 0:
     #         return PromptFormatter.format_no_context_message()
-    
+
     # Build prompt sections
     sections = []
-    
+
     # 1. Question Header
     current_part_letter = None
-    if access_info and access_info.currentPart:
+    if access_info and access_info.currentPart and access_info.currentPart.position is not None:
         current_part_letter = PromptFormatter.get_part_letter(access_info.currentPart.position)
-    
+
     set_info = {
         'number': question_info.setNumber,
         'name': question_info.setName
     }
-    
+
     question_data = {
         'number': question_info.questionNumber,
         'title': question_info.questionTitle,
         'guidance': question_info.questionGuidance,
         'content': question_info.questionContent,
+        'estimated_time': question_info.estimatedTime,
         'duration_lower': question_info.durationLowerBound,
         'duration_upper': question_info.durationUpperBound
     }
@@ -240,7 +224,7 @@ def _format_single_part(
     part_letter = PromptFormatter.get_part_letter(part.publishedPartPosition)
     
     # Determine if this is the current part
-    is_current = current_part and current_part.id == part.publishedPartId
+    is_current = current_part and current_part.position == part.publishedPartPosition
     time_on_part = current_part.timeTakenPart if is_current and current_part else None
     
     # 1. Part Header
@@ -303,7 +287,7 @@ def _extract_student_work_for_area(
     """Extract student work data for a specific response area."""
     
     for submission in submissions:
-        if (submission.publishedResponseAreaId == response_area.id and 
+        if (submission.publishedResponseAreaPosition == response_area.position and
             submission.latestSubmission):
             
             return {
diff --git a/src/agent/utils/prompt_context_templates.py b/src/agent/utils/prompt_context_templates.py
index e77a208..b69e261 100644
--- a/src/agent/utils/prompt_context_templates.py
+++ b/src/agent/utils/prompt_context_templates.py
@@ -56,7 +56,9 @@ def format_question_header(
         
         # Duration formatting
         duration_text = "- Expected Duration: "
-        if question_info.get('duration_lower') and question_info.get('duration_upper'):
+        if question_info.get('estimated_time'):
+            duration_text += question_info['estimated_time']
+        elif question_info.get('duration_lower') and question_info.get('duration_upper'):
             duration_text += f"{question_info['duration_lower']}-{question_info['duration_upper']} minutes"
         else:
             duration_text += "Not specified"
@@ -174,18 +176,18 @@ def format_single_response_area(
     def _format_student_submissions(student_work: Dict[str, Any]) -> str:
         """Format student submission history."""
         if not student_work.get('has_submissions'):
-            return "- Your Work: No responses submitted yet"
-        
+            return "- Your Work on this response area: No response submitted yet"
+
         latest = student_work.get('latest_response', 'None')
         feedback = student_work.get('latest_feedback', 'None')
         total = student_work.get('total_submissions', 0)
         wrong = student_work.get('total_wrong', 0)
-        
-        return f"""- Your Work:
+
+        return f"""- Your Work on this response area:
   - Latest response: {latest}
   - Latest feedback: {feedback}
-  - Total attempts: {total}
-  - Incorrect attempts: {wrong}"""
+  - Total attempts on this response area: {total}
+  - Incorrect attempts on this response area: {wrong}"""
 
     @staticmethod
     def format_part_answer(answer_content: Optional[str]) -> str:
diff --git a/src/module.py b/src/module.py
index 922979f..185bbc2 100755
--- a/src/module.py
+++ b/src/module.py
@@ -1,85 +1,179 @@
 import time
-from typing import Any
-from lf_toolkit.chat.result import ChatResult as Result
-from lf_toolkit.chat.params import ChatParams as Params
+from langchain_core.messages import HumanMessage, AIMessage, SystemMessage
 
-from src.agent.utils.parse_json_context_to_prompt import parse_json_to_prompt
+from lf_toolkit.chat import ChatRequest, ChatResponse, Message
+from lf_toolkit.shared.mued_api_v0_1_0 import Role
+
+from src.agent.utils.parse_json_context_to_prompt import (
+    parse_json_to_prompt,
+    QuestionDetails,
+    StudentWorkResponseArea,
+    QuestionAccessInformation,
+)
 from src.agent.agent import invoke_base_agent
-from src.agent.utils.types import JsonType
 
-def chat_module(message: Any, params: Params) -> JsonType:
+
+def chat_module(request: ChatRequest) -> ChatResponse:
     """
     Function used by student to converse with a chatbot.
     ---
-    The handler function passes three arguments to module():
+    The handler function passes a ChatRequest to chat_module().
 
-    - `message` which is the message sent by the student.
-    - `params` which are any extra parameters that may be useful,
-        e.g., conversation history and summary, conversational style of user, conversation id.
+    The ChatRequest contains:
+    - `messages`: list of Message objects (role + content), last is the current message.
+    - `conversationId`: unique identifier for the conversation session.
+    - `user`: optional user info (preferences, task progress).
+    - `context`: optional educational context (course material, question info, summary).
 
-    The output of this function is what is returned as the API response
-    and therefore must be JSON-encodable. It must also conform to the
-    response schema.
+    The output must be a ChatResponse conforming to the muEd API schema.
 
     Any standard python library may be used, as well as any package
     available on pip (provided it is added to requirements.txt).
 
-    The way you wish to structure you code (all in this function, or
+    The way you wish to structure your code (all in this function, or
     split into many) is entirely up to you. All that matters are the
-    return types and that module() is the main function used
+    return types and that chat_module() is the main function used
     to output the Chatbot response.
     """
 
-    result = Result()
-
-    # EXTRACT PARAMETERS
-    conversation_id = params.get("conversation_id", None)
+    # EXTRACT FIELDS FROM MUED REQUEST
+    conversation_id = request.conversationId
     if conversation_id is None:
-        raise Exception("Internal Error: The conversation id is required in the parameters of the chat module.")
-
-    include_test_data = params.get("include_test_data", False) or False
-    conversation_history = params.get("conversation_history", []) or []
-    summary = params.get("summary", "") or ""
-    conversationalStyle = params.get("conversational_style", "") or ""
-
-    question_response_details = params.get("question_response_details", {})
-    if isinstance(question_response_details, dict):
-        question_submission_summary = question_response_details.get("questionSubmissionSummary", [])
-        question_information = question_response_details.get("questionInformation", {})
-        question_access_information = question_response_details.get("questionAccessInformation", {})
-    else:
-        print("ERROR:: question_response_details is not a dict")
-        raise Exception("Internal Error: The question response details parameter is malformed.")
-    
-    # PARSE QUESTION RESPONSE DETAILS TO PROMPT
+        raise Exception("Internal Error: The conversation id is required in the request.")
+
+    context = request.context or {}
+    task_progress = (request.user.taskProgress or {}) if request.user else {}
+    current_part_progress = task_progress.get("currentPart", {}) if task_progress else {}
+
+    summary = context.get("summary", "") or ""
+
+    conversationalStyle = ""
+    if request.user and request.user.preference:
+        pref = request.user.preference.model_dump()
+        conversationalStyle = pref.get("conversationalStyle", "") or ""
+
+    messages = _to_langchain_messages(request.messages)
+
+    # Transform mued context/taskProgress into old parse_json_to_prompt format
+    question_information = QuestionDetails(**_build_question_information(context)) if context.get("question") else None
+    question_submission_summary = [StudentWorkResponseArea(**s) for s in _build_submission_summary(current_part_progress.get("responseAreas", []))]
+    question_access_information = QuestionAccessInformation(**_build_access_information(task_progress)) if task_progress else None
+
+    # PARSE QUESTION CONTEXT TO PROMPT
     try:
         question_response_details_prompt = parse_json_to_prompt(
             question_submission_summary,
             question_information,
-            question_access_information
+            question_access_information,
         )
     except Exception as e:
         print("ERROR:: ", e)
         raise Exception("Internal Error: The question response details could not be parsed.")
-    
 
     # RUN THE AGENT AND MEASURE PROCESSING TIME
     start_time = time.time()
+    chatbot_response = invoke_base_agent(
+        messages=messages,
+        summary=summary,
+        conversationalStyle=conversationalStyle,
+        question_response_details=question_response_details_prompt,
+        session_id=conversation_id,
+    )
+    end_time = time.time()
 
-    chatbot_response = invoke_base_agent(query=message, \
-                            conversation_history=conversation_history, \
-                            summary=summary, \
-                            conversationalStyle=conversationalStyle, \
-                            question_response_details=question_response_details_prompt, \
-                            session_id=conversation_id)
+    return ChatResponse(
+        output=Message(role=Role.ASSISTANT, content=chatbot_response["output"]),
+        metadata={
+            "summary": chatbot_response["summary"],
+            "conversationalStyle": chatbot_response["conversationalStyle"],
+            "processingTimeMs": round((end_time - start_time) * 1000),
+        },
+    )
 
-    end_time = time.time()
 
-    result._processing_time = end_time - start_time
-    result.add_response("chatbot_response", chatbot_response["output"])
-    result.add_metadata("summary", chatbot_response["intermediate_steps"][0])
-    result.add_metadata("conversational_style", chatbot_response["intermediate_steps"][1])
-    result.add_metadata("conversation_history", chatbot_response["intermediate_steps"][2])
-    result.add_processing_time(end_time - start_time)
+def _to_langchain_messages(messages):
+    result = []
+    for m in messages:
+        role = str(m.role).upper()
+        if role == "USER":
+            result.append(HumanMessage(content=m.content))
+        elif role == "ASSISTANT":
+            result.append(AIMessage(content=m.content))
+        elif role == "SYSTEM":
+            result.append(SystemMessage(content=m.content))
+    return result
+
+
+def _build_question_information(context: dict) -> dict:
+    set_data = context.get("set", {})
+    question_data = context.get("question", {})
+    return {
+        "setNumber": set_data.get("number"),
+        "setName": set_data.get("title"),
+        "setDescription": set_data.get("description"),
+        "questionNumber": question_data.get("number"),
+        "questionTitle": question_data.get("title"),
+        "questionGuidance": question_data.get("guidance"),
+        "questionContent": question_data.get("content"),
+        "estimatedTime": question_data.get("estimatedTime"),
+        "durationLowerBound": None,
+        "durationUpperBound": None,
+        "parts": [
+            _transform_part(p, i) for i, p in enumerate(question_data.get("parts", []), 1)
+        ],
+    }
+
+
+def _transform_part(p: dict, position: int) -> dict:
+    return {
+        "publishedPartPosition": p.get("position", position),
+        "publishedPartContent": p.get("content"),
+        "publishedPartAnswerContent": p.get("answerContent"),
+        "publishedWorkedSolutionSections": p.get("workedSolutionSections", []),
+        "publishedStructuredTutorialSections": p.get("structuredTutorialSections", []),
+        "publishedResponseAreas": [
+            _transform_response_area(ra, j)
+            for j, ra in enumerate(p.get("responseAreas", []), 1)
+        ],
+    }
+
+
+def _transform_response_area(ra: dict, position: int) -> dict:
+    return {
+        "position": ra.get("position", position),
+        "preResponseText": ra.get("preResponseText"),
+        "responseType": ra.get("responseType"),
+        "answer": ra.get("answer"),
+    }
+
+
+def _build_submission_summary(submissions: list) -> list:
+    return [
+        {
+            "publishedPartPosition": None,
+            "publishedResponseAreaPosition": i,
+            "publishedResponseAreaPreResponseText": None,
+            "publishedResponseType": s.get("responseType"),
+            "publishedResponseConfig": None,
+            "totalSubmissions": s.get("totalSubmissions"),
+            "totalWrongSubmissions": s.get("wrongSubmissions"),
+            "latestSubmission": s.get("latestSubmission"),
+        }
+        for i, s in enumerate(submissions)
+    ]
+
 
-    return result.to_dict(include_test_data=include_test_data)
\ No newline at end of file
+def _build_access_information(task_progress: dict) -> dict:
+    current_part = task_progress.get("currentPart", {})
+    return {
+        "estimatedMinimumTime": None,
+        "estimaredMaximumTime": None,
+        "timeTaken": task_progress.get("timeSpentOnQuestion"),
+        "accessStatus": task_progress.get("accessStatus"),
+        "markedDone": task_progress.get("markedDone"),
+        "currentPart": {
+            "position": current_part.get("position"),
+            "timeTakenPart": current_part.get("timeSpentOnPart"),
+            "markedDonePart": current_part.get("markedDone"),
+        },
+    }
diff --git a/tests/manual_agent_run.py b/tests/manual_agent_run.py
index b69f609..91c92f3 100644
--- a/tests/manual_agent_run.py
+++ b/tests/manual_agent_run.py
@@ -1,9 +1,10 @@
 """
- Conversation turn-based Testbench of the agent's performance.
- Select an example input file and write your query. Then run the agent to get the response.
+Conversation turn-based Testbench of the agent's performance.
+Select an example input file and write your query. Then run the agent to get the response.
 """
 
 import json
+from lf_toolkit.chat import ChatRequest
 from src.module import chat_module
 
 # File path for the input text
@@ -13,34 +14,25 @@
 # Step 1: Read the input file
 with open(input_file, "r") as file:
     raw_text = file.read()
-    
-# Step 5: Parse into JSON
+
+# Step 2: Parse into JSON
 try:
     parsed_json = json.loads(raw_text)
 
-    """
-      STEP 2: Extract the parameters from the JSON
-    """
     # NOTE: #### This is the testing message #####
-    message = "Hi, how do I solve this problem?" 
+    message = "Hi, how do I solve this problem?"
     # NOTE: ########################################
 
-    # In the JSON, replace "mock" in the message and conversation history with the testing message
-    parsed_json["message"] = message
-    parsed_json["params"]["conversation_history"][-1]["content"] = message
+    # Replace the last message content with the testing message
+    parsed_json["messages"][-1]["content"] = message
+
+    # Step 3: Validate into a ChatRequest
+    request = ChatRequest.model_validate(parsed_json)
 
-    params = parsed_json["params"]
+    # Step 4: Call the chat module to get a response
+    response = chat_module(request)
 
-    """
-      STEP 3: Call the chat module to get a response to the user's message
-    """
-    response = chat_module(message, params)
-    
-    print(json.dumps(response, indent=4))
-    
+    print(json.dumps(json.loads(response.model_dump_json()), indent=4))
 
 except json.JSONDecodeError as e:
     print("Error decoding JSON:", e)
-
-
-
diff --git a/tests/test_example_inputs.py b/tests/test_example_inputs.py
new file mode 100644
index 0000000..1b736b3
--- /dev/null
+++ b/tests/test_example_inputs.py
@@ -0,0 +1,45 @@
+import unittest
+import json
+import os
+from index import handler
+
+EXAMPLE_INPUTS_DIR = "src/agent/utils/example_inputs"
+
+
+class TestExampleInputs(unittest.TestCase):
+    """
+    Tests that each example input file in src/agent/utils/example_inputs/
+    can be processed end-to-end through the handler and returns a valid
+    ChatResponse with status 200.
+    """
+
+    def _load_example(self, filename: str) -> dict:
+        path = os.path.join(EXAMPLE_INPUTS_DIR, filename)
+        with open(path, "r") as f:
+            return json.load(f)
+
+    def _run_example(self, filename: str) -> dict:
+        payload = self._load_example(filename)
+        event = {"body": json.dumps(payload)}
+        return handler(event, None)
+
+    def test_example_input_1(self):
+        result = self._run_example("example_input_1.json")
+        self.assertEqual(result.get("statusCode"), 200)
+        body = json.loads(result.get("body"))
+        self.assertIn("output", body)
+        self.assertIsNotNone(body["output"].get("content"))
+
+    def test_example_input_2(self):
+        result = self._run_example("example_input_2.json")
+        self.assertEqual(result.get("statusCode"), 200)
+        body = json.loads(result.get("body"))
+        self.assertIn("output", body)
+        self.assertIsNotNone(body["output"].get("content"))
+
+    def test_example_input_3(self):
+        result = self._run_example("example_input_3.json")
+        self.assertEqual(result.get("statusCode"), 200)
+        body = json.loads(result.get("body"))
+        self.assertIn("output", body)
+        self.assertIsNotNone(body["output"].get("content"))
diff --git a/tests/test_index.py b/tests/test_index.py
index 822049d..4cf4ea8 100644
--- a/tests/test_index.py
+++ b/tests/test_index.py
@@ -2,6 +2,17 @@
 import json
 from index import handler
 
+
+def make_event(body: dict) -> dict:
+    return {"body": json.dumps(body)}
+
+
+BASE_BODY = {
+    "messages": [{"role": "USER", "content": "Hello, World"}],
+    "conversationId": "1234Test",
+}
+
+
 class TestChatIndexFunction(unittest.TestCase):
     """
     TestCase Class used to test the algorithm.
@@ -20,43 +31,26 @@ class TestChatIndexFunction(unittest.TestCase):
     Use module() to check your algorithm works
     as it should.
 
-    The expected input of the hander is a JsonType.
+    The expected input of the handler is a JsonType matching ChatRequest.
     """
 
-    def test_missing_argument(self):
-        arguments = ["message", "params"]
+    def test_missing_messages(self):
+        # messages is required — omitting it should return 400
+        body = {k: v for k, v in BASE_BODY.items() if k != "messages"}
+        result = handler(make_event(body), None)
+        self.assertEqual(result.get("statusCode"), 400)
 
-        for arg in arguments:
-            event = {
-                "message": "Hello, World",
-                "params": {"conversation_id": "1234Test", "conversation_history": [{"type": "user", "content": "Hello, World"}]}
-            }
-            event.pop(arg)
-            event = {"body":json.dumps(event)}
+    def test_invalid_json_body(self):
+        result = handler({"body": "not valid json"}, None)
+        self.assertEqual(result.get("statusCode"), 400)
 
-            result = handler(event, None)
-
-            self.assertEqual(result.get("statusCode"), 400)
-    
     def test_correct_arguments(self):
-        event = {
-            "message": "Hello, World",
-            "params": {"conversation_id": "1234Test", "conversation_history": [{"type": "user", "content": "Hello, World"}]}
-        }
-        event = {"body":json.dumps(event)}
-
-        result = handler(event, None)
-
+        result = handler(make_event(BASE_BODY), None)
         self.assertEqual(result.get("statusCode"), 200)
 
     def test_correct_response(self):
-        event = {
-            "message": "Hello, World",
-            "params": {"conversation_id": "1234Test", "conversation_history": [{"type": "user", "content": "Hello, World"}]}
-        }
-        event = {"body":json.dumps(event)}
-
-        result = handler(event, None)
-
+        result = handler(make_event(BASE_BODY), None)
         self.assertEqual(result.get("statusCode"), 200)
-        
\ No newline at end of file
+        body = json.loads(result["body"])
+        self.assertIn("output", body)
+        self.assertIn("content", body["output"])
diff --git a/tests/test_module.py b/tests/test_module.py
index 26c96de..dff68bb 100755
--- a/tests/test_module.py
+++ b/tests/test_module.py
@@ -1,8 +1,17 @@
 import unittest
-from lf_toolkit.chat.result import ChatResult as Result
-from lf_toolkit.chat.params import ChatParams as Params
+from lf_toolkit.chat import ChatRequest, ChatResponse
 from src.module import chat_module
 
+
+def make_request(**kwargs):
+    defaults = {
+        "messages": [{"role": "USER", "content": "Hello, World"}],
+        "conversationId": "1234Test",
+    }
+    defaults.update(kwargs)
+    return ChatRequest.model_validate(defaults)
+
+
 class TestChatModuleFunction(unittest.TestCase):
     """
     TestCase Class used to test the algorithm.
@@ -22,63 +31,32 @@ class TestChatModuleFunction(unittest.TestCase):
     as it should.
     """
 
-    def test_missing_parameters(self):
-        # Checking state for missing parameters on default agent
-        response = "Hello, World"
-        expected_params = Params(include_test_data=True, conversation_history=['{ "type": "user", "content": response }'], \
-                                    summary="", conversational_style="", \
-                                    question_response_details={}, conversation_id="1234Test")
-
-        for p in expected_params:
-            params = expected_params.copy()
-            # except for the special parameters
-            if p not in ["include_test_data", "conversation_id", "conversation_history"]:
-                params.pop(p)
-
-                result = chat_module(response, params)
-
-                self.assertIsNotNone(result)
-                self.assertEqual("error" in result, False)
-            elif p == "include_test_data":
-                params.pop(p)
-
-                result = chat_module(response, params)
-
-                # check if result has nothing except for the chatbot_response
-                self.assertIsNotNone(result.get("chatbot_response"))
-                self.assertEqual(len(result), 1)
-            elif p == "conversation_id":
-                params.pop(p)
-                
-                with self.assertRaises(Exception) as cm:
-                    chat_module(response, params)
-
-                self.assertTrue("Internal Error" in str(cm.exception))
-                self.assertTrue("conversation id" in str(cm.exception))
-            elif p == "conversation_history":
-                params.pop(p)
+    def test_missing_conversation_id(self):
+        # conversationId is required by chat_module even though it's optional in ChatRequest
+        request = make_request(conversationId=None)
 
-                with self.assertRaises(Exception) as cm:
-                    chat_module(response, params)
+        with self.assertRaises(Exception) as cm:
+            chat_module(request)
 
-                self.assertTrue("Internal Error" in str(cm.exception))
-                self.assertTrue("conversation history" in str(cm.exception))
+        self.assertIn("Internal Error", str(cm.exception))
+        self.assertIn("conversation id", str(cm.exception))
 
     def test_agent_output(self):
         # Checking the output of the agent
-        response = "Hello, World"
-        params = Params(conversation_id="1234Test", conversation_history=['{ "type": "user", "content": response }'])
+        request = make_request()
 
-        result = chat_module(response, params)
+        result = chat_module(request)
 
-        self.assertIsNotNone(result.get("chatbot_response"))
+        self.assertIsInstance(result, ChatResponse)
+        self.assertIsNotNone(result.output)
+        self.assertIsNotNone(result.output.content)
 
-    def test_processing_time_calc(self):
-        # Checking the processing time calculation
-        response = "Hello, World"
-        params = Params(include_test_data=True, conversation_id="1234Test", conversation_history=['{ "type": "user", "content": response }'])
+    def test_processing_time_in_metadata(self):
+        # Checking the processing time is included in the response metadata
+        request = make_request()
 
-        result = chat_module(response, params)
+        result = chat_module(request)
 
-        self.assertIsNotNone(result.get("processing_time"))
-        self.assertGreaterEqual(result.get("processing_time"), 0)
\ No newline at end of file
+        self.assertIsNotNone(result.metadata)
+        self.assertIn("processingTimeMs", result.metadata)
+        self.assertGreaterEqual(result.metadata["processingTimeMs"], 0)