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Msingh openai image fix (#1648)
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examples/object_oriented_agentic_approach/Secure_code_interpreter_tool_for_LLM_agents.ipynb

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