This issue proposes the integration of a Decision Manager component into the existing communication and task management system. The Decision Manager will leverage a large language model (LLM) to enhance routing efficiency and utilize the most appropriate resources for different tasks.
Current System:
The Communication Manager acts as the single entry point for communication.
A single LLM handles all communication queries and generates responses.
The Task Manager receives instructions from the LLM and manages task execution.
Proposed Improvement:
Introduce a Decision Manager component between the Communication Manager and the LLM/Task Manager.
Decision Manager Functionality:
Analyze incoming communication through the Communication Manager.
Utilize the LLM to determine the intent and required action for the communication.
Based on the analysis, route tasks to the most suitable resource:
Specialized LLMs: If the task requires specific functionalities (e.g., function tool support, medical diagnosis), route it to an appropriate LLM model.
API/Backend: For simple tasks like weather updates or scheduling appointments, utilize API or backend functionalities.
Task Manager: For tasks requiring execution and tracking, route instructions to the Task Manager.
Self-Learning Planner (Optional): If the task needs pre-planning before adding to the Task Manager, utilize a self-learning planner module (to be determined).
Benefits:
Increased Realtime Performance necessary for human like discussion and user engagement
Improved efficiency and accuracy by routing tasks to the most appropriate resources.
Reduced reliance on a single LLM for all tasks.
Potential for self-learning and adaptation over time (if planning module is implemented).
Tasks:
[ ] Design Decision Manager Architecture:
Define the communication flow between the Decision Manager, Communication Manager, LLM(s), API/Backend, and Task Manager.
Determine the data structures and protocols for routing tasks.
[ ] Develop Decision Manager Logic:
Implement logic for analyzing communication and routing tasks based on intent and requirements.
Integrate the LLM to assist in decision making.
[ ] (Optional) Implement Self-Learning Planner:
Define functionalities for the self-learning planner module.
Develop logic for pre-processing tasks before routing them to the Task Manager.
[ ] Integration and Testing:
Integrate the Decision Manager into the existing system.
Develop unit and integration tests to ensure proper functionality.
[ ] Documentation:
Document the Decision Manager architecture, functionalities, and configuration options.
Additional Notes:
Consider potential challenges like increased complexity and potential delays due to additional processing steps.
Explore options for monitoring Decision Manager performance and identifying areas for improvement.
Define success metrics for the Decision Manager implementation.
This issue proposes the integration of a Decision Manager component into the existing communication and task management system. The Decision Manager will leverage a large language model (LLM) to enhance routing efficiency and utilize the most appropriate resources for different tasks.
Current System:
Proposed Improvement:
Decision Manager Functionality:
Benefits:
Tasks:
[ ] Design Decision Manager Architecture:
[ ] Develop Decision Manager Logic:
[ ] (Optional) Implement Self-Learning Planner:
[ ] Integration and Testing:
[ ] Documentation:
Additional Notes: