Analyse the Workato Job Log with MemGPT and AutoGen

In this tutorial I would like to go through my use case to get the Workato recipe job log real-time and instruct the agent to conduct the analysis and subsequently generate a chart based on the obtained data. For this use case, I will be using MemGPT with AutoGen.

Memory-GPT (MemGPT)

MemGPT enables LLMs to manage their own memory and overcome limited context windows. Large Language Models (LLMs) face a limitation in terms of their context window, which restricts their effectiveness in extended conversations and document analysis. For more details, please refer to https://memgpt.ai/.

AutoGen

AutoGen is a framework that facilitates the creation of Large Language Model (LLM) applications by employing multiple agents capable of engaging in conversations with each other to collectively address various tasks. For more details, please refer to https://microsoft.github.io/autogen/.

Conversational Flow Scenario

For this use case, I have the following scenario, which represents the dialogue sequence among the agents.