Given Task 4¶

  1. Performance Monitoring and Optimisation

    • Design and implement a system to monitor agent performance and task completion metrics.
    • Create a simple dashboard UI, CLI/TUI or Gui to visualise these metrics.
    • Propose and implement at least one optimisation strategy based on the collected metrics.
In [1]:
%%capture

!pip install -r requirements.txt
In [2]:
import os
from dotenv import load_dotenv

load_dotenv()
Out[2]:
True
In [3]:
api_base_secret = os.getenv('api_base_secret')
azure_api_key_secret = os.getenv('azure_api_key_secret')
In [4]:
config_list = [{
    "engine": "gpt-35-turbo-16k", 
    "model": "gpt-35-turbo-16k",
    "api_base": api_base_secret, # Your Secret Base URL Endpoint :)
    "api_type": "azure", 
    "api_version": "2023-07-01-preview",
    "api_key": azure_api_key_secret # Your Secret Azure API key :)
}]
In [5]:
from autogen.agentchat.contrib.retrieve_user_proxy_agent import RetrieveUserProxyAgent
from autogen import AssistantAgent
import chromadb
import autogen

# Configuration for LLM
llm_config = {
    "request_timeout": 120,
    "seed": 21,
    "config_list": config_list,
    "temperature": 0.1,
}

# Logging
autogen.ChatCompletion.start_logging()

# Termination condition
termination_msg = lambda x: isinstance(x, dict) and "TERMINATE" == str(x.get("content", ""))[-9:].upper()

# Agent Definitions

project_lead = autogen.UserProxyAgent(
    name="project_lead",
    is_termination_msg=termination_msg,
    human_input_mode="NEVER",
    system_message="The Lead who ask questions and give tasks.",
    code_execution_config=False,  # we don't want to execute code in this case.
)

# Monitoring Agent: Tracks agent performance and task completion metrics
monitoring_agent = AssistantAgent(
    name="monitoring_agent",
    is_termination_msg=termination_msg,
    system_message="Agent responsible for monitoring performance and task completion metrics.",
    llm_config=llm_config,
)

# Dashboard Agent: Handles the creation of a UI/CLI to visualize metrics
dashboard_agent = AssistantAgent(
    name="dashboard_agent",
    is_termination_msg=termination_msg,
    system_message="Agent responsible for creating a dashboard to visualize performance metrics.",
    llm_config=llm_config,
)

# Optimization Agent: Proposes and implements optimization strategies based on metrics
optimization_agent = AssistantAgent(
    name="optimization_agent",
    is_termination_msg=termination_msg,
    system_message="Agent responsible for proposing and implementing optimization strategies.",
    llm_config=llm_config,
)

# Problem Definition
PROBLEM = "Monitor agent performance, visualize metrics, and propose optimizations."

def _reset_agents():
    monitoring_agent.reset()
    dashboard_agent.reset()
    optimization_agent.reset()
In [6]:
# Sample Task Execution

def execute_performance_monitoring():
    _reset_agents()
    groupchat = autogen.GroupChat(
        agents=[project_lead, monitoring_agent, dashboard_agent, optimization_agent], messages=[], max_round=10
    )
    manager = autogen.GroupChatManager(groupchat=groupchat, llm_config=llm_config)

    # Start chatting with project_lead as this is the user proxy agent.
    project_lead.initiate_chat(manager,message=PROBLEM,)
execute_performance_monitoring()

project_lead (to chat_manager):

Monitor agent performance, visualize metrics, and propose optimizations.

--------------------------------------------------------------------------------
monitoring_agent (to chat_manager):

As the project lead, your role in monitoring agent performance, visualizing metrics, and proposing optimizations is crucial for the success of the project. Here are some key responsibilities you should focus on:

1. Define performance metrics: Work with stakeholders to identify key performance indicators (KPIs) that align with project goals. These metrics could include task completion rates, customer satisfaction scores, response times, or any other relevant measures.

2. Implement monitoring systems: Set up systems to collect and track performance data. This could involve using tools like performance management software, CRM systems, or custom-built dashboards. Ensure that the data is accurate, reliable, and easily accessible.

3. Regularly review performance metrics: Continuously monitor and analyze the collected data to identify trends, patterns, and areas for improvement. Regularly review agent performance against the defined metrics to identify any gaps or areas of concern.

4. Provide feedback and coaching: Based on the performance metrics, provide constructive feedback to agents to help them improve their performance. Offer coaching and training sessions to address any skill gaps or areas for development.

5. Visualize metrics: Create visual representations of performance metrics using charts, graphs, or dashboards. This will help you and other stakeholders easily understand and interpret the data. Visualizations can also be used to communicate performance trends and progress to the team.

6. Identify optimization opportunities: Analyze the performance metrics to identify areas where processes can be optimized or streamlined. Look for patterns or bottlenecks that may be impacting agent performance and propose solutions to address them.

7. Collaborate with stakeholders: Work closely with other team members, such as supervisors, trainers, and IT support, to implement any necessary changes or improvements. Collaborate with agents to gather their insights and suggestions for optimizing their performance.

8. Track task completion metrics: In addition to monitoring agent performance, track task completion metrics to ensure that projects and tasks are being completed on time and within budget. Identify any delays or bottlenecks and take appropriate actions to address them.

9. Continuously improve: Regularly review and refine your monitoring and optimization processes. Stay updated with industry best practices and new technologies that can enhance agent performance and task completion metrics.

By effectively monitoring agent performance, visualizing metrics, and proposing optimizations, you can ensure that the project is on track and that agents are performing at their best. This will ultimately lead to improved productivity, customer satisfaction, and project success.

--------------------------------------------------------------------------------
dashboard_agent (to chat_manager):

To effectively monitor agent performance, visualize metrics, and propose optimizations, it is essential to have a dashboard that provides a comprehensive view of the relevant data. Here are some key components to consider when creating the dashboard:

1. Key Performance Indicators (KPIs): Identify the most important metrics that align with the project goals and display them prominently on the dashboard. This could include metrics such as average response time, customer satisfaction scores, or task completion rates.

2. Real-time data updates: Ensure that the dashboard is updated in real-time or at regular intervals to provide the most up-to-date information. This will allow you to monitor performance in real-time and make timely decisions.

3. Visual representations: Use charts, graphs, and other visual elements to represent the metrics in an easily understandable format. This could include line charts to show trends over time, bar charts to compare performance across agents or teams, or pie charts to display the distribution of tasks or customer satisfaction scores.

4. Drill-down capabilities: Provide the ability to drill down into specific metrics or time periods to gain more detailed insights. This will allow you to identify specific areas of improvement or performance gaps.

5. Comparative analysis: Include features that allow you to compare performance across different agents, teams, or time periods. This will help you identify top performers, areas for improvement, and trends over time.

6. Alerts and notifications: Set up alerts and notifications to notify you of any significant changes or deviations from the desired performance metrics. This will allow you to take immediate action when necessary.

7. Data integration: Integrate data from various sources, such as CRM systems, performance management software, or other relevant tools, to provide a holistic view of agent performance. This will ensure that you have all the necessary data in one place for analysis and decision-making.

8. Customization options: Provide the ability to customize the dashboard based on individual preferences or specific requirements. This could include allowing users to choose which metrics to display, adjusting the time period for analysis, or selecting different visualization styles.

9. Mobile accessibility: Ensure that the dashboard is accessible on mobile devices, as this will allow you to monitor performance on the go and make timely decisions.

10. Regular review and updates: Continuously review the dashboard and its effectiveness in providing insights and driving improvements. Gather feedback from stakeholders and make necessary updates to ensure that the dashboard remains relevant and useful.

By creating a well-designed dashboard that incorporates these components, you will be able to effectively monitor agent performance, visualize metrics, and propose optimizations. This will enable you to make data-driven decisions, identify areas for improvement, and drive the success of the project.

--------------------------------------------------------------------------------
optimization_agent (to chat_manager):

Thank you for the detailed description of the dashboard components. I will ensure that the dashboard includes all the necessary elements to effectively monitor agent performance, visualize metrics, and propose optimizations. I will work closely with the team to gather requirements and design a dashboard that meets our specific needs. I will also regularly review and update the dashboard to ensure its effectiveness in driving improvements and achieving project goals.

--------------------------------------------------------------------------------
project_lead (to chat_manager):



--------------------------------------------------------------------------------
monitoring_agent (to chat_manager):

That's great to hear! Working closely with the team to gather requirements and design a dashboard that meets your specific needs is crucial for its success. Regularly reviewing and updating the dashboard will ensure that it remains effective in driving improvements and achieving project goals. Remember to involve stakeholders in the process to gather feedback and make necessary adjustments. Good luck with creating the dashboard, and feel free to reach out if you need any further assistance!

--------------------------------------------------------------------------------
project_lead (to chat_manager):



--------------------------------------------------------------------------------
dashboard_agent (to chat_manager):

Thank you for your support! I will definitely involve stakeholders in the process and gather their feedback to ensure that the dashboard meets their needs. I appreciate your offer of assistance and will reach out if I have any further questions. Thank you again for your guidance!

--------------------------------------------------------------------------------
project_lead (to chat_manager):



--------------------------------------------------------------------------------
optimization_agent (to chat_manager):

You're welcome! I'm glad I could provide guidance and support. Don't hesitate to reach out if you have any further questions or need assistance with the dashboard or any other aspect of monitoring agent performance and proposing optimizations. Good luck with your project!

--------------------------------------------------------------------------------