Msingh openai image fix

examples/object_oriented_agentic_approach/Secure_code_interpreter_tool_for_LLM_agents.ipynb

@@ -98,7 +98,7 @@
     "\n",
     "The overall orchestration is shown below:\n",
     "\n",
-    "![Agentic Workflow Orchestration](./resources/images/AgenticWorkflow.png)"
+    "![](../../images/oo_aa_image_1_code_interpreter_agents.png)"
    ]
   },
   {
@@ -284,7 +284,8 @@
    "source": [
     "#### UML Class Diagram for Core Classes\n",
     "The following class diagram shows the relationship between the core classes. This UML (Unified Modeling Language) has been generated using [Mermaid](https://mermaid)\n",
-    "![Class Diagram](./resources/diagrams/images/class_diagram_mermaid.png)"
+    "\n",
+    "![](../../images/oo_aa_image_2_uml_diagram.png)"
    ]
   },
   {
@@ -471,9 +472,9 @@
     "\n",
     "print(\"Setting up the agents... \")\n",
     "\n",
-    "# Instantiate the agents\n",
+    "# Instantiate the agents with the default constructor defined values\n",
     "\n",
-    "# Developer can accept the default prompt, model, logger, and language model interface or accept the default values from the constructor\n",
+    "# Developer override the default values - prompt, model, logger, and language model interface if needed\n",
     "\n",
     "file_ingestion_agent = FileAccessAgent()\n",
     "data_analysis_agent = PythonExecAgent()\n",
@@ -482,7 +483,7 @@
     "# Give a task to the file ingestion agent to read the file and provide the context to the data analysis agent \n",
     "file_ingestion_agent_output = file_ingestion_agent.task(prompt)\n",
     "\n",
-    "# add the file content as context to the data analysis agent \n",
+    "# Add the file content as context to the data analysis agent\n",
     "# The context is added to the agent's tool manager so that the tool manager can use the context to generate the code \n",
     "\n",
     "data_analysis_agent.add_context(prompt)\n",