[WIP] Add experimental evaluations for timing and recall

[Copilot]

Cloud agent has begun work on Experimental evaluations for retrieval metrics and plotting and will update this pull request as work progresses.

Original prompt

Ok, forgetting about langsmith for a moment. I need an easy way to run some experimental evaluations with regard to timing and recall. I need to get all the data as CSV and be able to plot different values on a graph i.e. batch size with respect to latency and also recall/precision to find the sweet spot for retrieval values. I also want some simple metric evals to test the retrieval end-to-end so that I know if changes to the graph actually improve it.

[Chronological Review: The conversation began with the user expressing a need to run experimental evaluations focused on timing and recall. The user specified the requirement for data to be output as CSV for plotting purposes, particularly to analyze batch size against latency and recall/precision metrics. The user also requested simple metric evaluations to test the retrieval process end-to-end. The user then issued a command to delegate the task to a cloud agent, indicating a shift in approach to fulfill their requirements.]

[Intent Mapping:

• User Request 1: "I need an easy way to run some experimental evaluations with regard to timing and recall."
• User Request 2: "I need to get all the data as CSV and be able to plot different values on a graph i.e. batch size with respect to latency and also recall/precision to find the sweet spot for retrieval values."
• User Request 3: "I also want some simple metric evals to test the retrieval end-to-end so that I know if changes to the graph actually improve it."
• User Command: "@cloud Delegate: 'Delegate to cloud agent'"]

[Technical Inventory: The conversation involves experimental evaluations, data handling (CSV), plotting libraries (implied), and metrics for retrieval performance. No specific technologies or frameworks were mentioned yet.]

[Code Archaeology: No specific files or code changes were discussed in the conversation.]

[Progress Assessment: The user has articulated their requirements clearly but has not yet received any responses or implementations. The task of delegating to a cloud agent has been initiated.]

[Context Validation: All critical information for continuation is captured, including user goals for experimental evaluations, data output formats, and the need for performance metrics.]

[Recent Commands Analysis:

• Last Agent Commands: The user issued a command to delegate the task to a cloud agent with the command "@cloud Delegate: 'Delegate to cloud agent'."
• Tool Results Summary: No results were returned from the cloud agent as this was a delegation command.
• Pre-Summary State: The agent was actively working on preparing to delegate the task to a cloud agent when the token budget was exceeded.
• Operation Context: The delegation command was executed to facilitate the user's request for experimental evaluations and data analysis.]

1. Conversation Overview: - Primary Objectives: The user requested an easy way to run experimental evaluations regarding timing and recall, with specific needs for CSV data output and plotting capabilities. They also sought simple metric evaluations for end-to-end retrieval testing. - Session Context: The conversation has focused on defining the user's requirements for data analysis and evaluation metrics, culminating in a command to delegate the task to a cloud agent. - User Intent Evolution: The user initially outlined their needs and then shifted to delegating the task to a cloud agent for execution.

2. Technical Foundation:

• No specific technologies or frameworks were mentioned yet.

3. Codebase Status:

• No specific files or code changes were discussed.

4. Problem Resolution:

• Issues Encountered: None reported yet.
• Solutions Implemented: None implemented yet.
• Debugging Context: No ongoing troubleshooting efforts noted.
• Lessons Learned: No insights or patterns discovered yet.

5. Progress Tracking:

• Completed Tasks: User requirements have been articulated.
• Partially Complete Work: Delegation to a cloud agent is in progress.
• Validated Outcomes: None confirmed yet.

6. Active Work State:

• Current Focus: The user is focused on running experimental evaluations and obtaining data for analysis.
• Recent Context: The last few exchanges involved the user detailing their requirements and issuing a command to delegate the task.
• Working Code: No specific code snippets were discussed.
• Immediate Context: The user was preparing to delegate the task to a cloud agent when the summary was triggered.

7. Recent Operations:

• Last Agent Commands: "@cloud Delegate: 'Delegate to cloud agent'."
• Tool Results Summary: No results returned as this was a delegation command.
• Pre-Summary State: The agent was preparing to delegate the task to a cloud agent.
• Operation Context: The delegation command was executed to facilitate the user's request for experimental evaluations and data analysis.

8. Continuation Plan:

• [Pending Task 1]: Implement the experimental evaluations as per user specifications.

Created from VS Code via the GitHub Pull Request extension.

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