Create Summarization Crew

I want to create a summarization crew, similar to what described in this image, would love to have this crew to use a local model. The end goal is to have this crew to create detailed Mermaid diagrams from article summaries.

To create a summarization crew with the end goal of generating detailed Mermaid diagrams from article summaries, we will follow these steps:

1. Define the Agents: We'll create agents with specific roles and capabilities. One agent will focus on summarizing articles, while another will specialize in converting summaries into Mermaid diagrams.

2. Select and Integrate Local Model: Since you want to use a local model for summarization, we'll need to integrate it with the summarization agent. This involves setting up the agent to use the local model instead of a default LLM.

3. Define Tasks: We'll define two main tasks - one for summarization and another for diagram generation.

4. Create the Crew and Process: We'll instantiate a Crew with these agents and set up a sequential process. The output from the summarization task will be passed to the diagram generation task.

5. Implementing Mermaid Diagram Generation: To convert summaries into Mermaid diagrams, we may need to create a custom tool or script. We'll need to consider how to best parse and structure the summary data into a format compatible with Mermaid.

6. Testing and Iteration: After setting up the crew and tasks, we'll test the system with sample articles to ensure the workflow functions as intended and make necessary adjustments.

Does this plan sound good to you? If yes, I'll proceed with providing more detailed information and sample code. If you have any specific requirements or modifications in mind, please let me know.

what agents should this crew have?

For the summarization crew aiming to create detailed Mermaid diagrams from article summaries, we should define two specialized agents with distinct roles:

1. Summarization Agent:

   • Role: Article Summarizer
   • Goal: To efficiently and accurately summarize articles.
   • Backstory: This agent is designed as an expert in distilling complex information into concise summaries. It uses a local model for summarization to ensure fast and reliable performance without relying on external services.
   • Tools: Depending on the local model you have in mind, this agent can be configured to use it for the summarization task. If the model is not directly compatible with CrewAI, we may need to wrap it in a custom tool.
   • Capabilities: This agent should be capable of reading and understanding various types of articles, extracting key points, and summarizing them in a coherent, concise manner.

2. Diagram Generation Agent:

   • Role: Diagram Creator
   • Goal: To transform summaries into structured Mermaid diagrams.
   • Backstory: This agent specializes in visual representation and data structuring. It takes text summaries and converts them into visually coherent Mermaid diagrams, which are useful for graphical representation of the summarized content.
   • Tools: This agent might require a custom tool for parsing summaries and creating Mermaid diagram syntax. The tool would analyze the summary to identify key components and structure them into a diagram format.
   • Capabilities: It needs to be proficient in understanding the structure of summaries and adept at translating textual data into diagrammatic representations.

Each agent would be responsible for a specific task in the process: the Summarization Agent for creating article summaries, and the Diagram Generation Agent for converting these summaries into Mermaid diagrams. The agents will work sequentially, with the output of the Summarization Agent serving as the input for the Diagram Generation Agent.

Would you like more detail on the implementation of these agents or any other aspect of the crew setup?