[WIP] Start implementation of chat session API

[Copilot]

Cloud agent has begun work on Start implementation and will update this pull request as work progresses.

Original prompt

Start implementation

The user has attached the following file paths as relevant context:

• .github/copilot-instructions.md
• .github/copilot-instructions.md
• AGENTS.md

[Chronological Review: The conversation began with the user requesting assistance in designing an API for chat sessions in the VSCode agents view, specifically to allow actions like closing a PR. The user then provided context by sharing the relevant code from the `copilotCloudSessionsProvider.ts` file. Following this, the user requested to start the implementation of the designed API.]

[Intent Mapping:

• User Request 1: "We want to design a way for provided chat sessions... to 'hook' into the archive and perform an action..." - The user is looking for a design for an API to interact with chat sessions.
• User Request 2: "Start implementation" - The user is ready to begin coding the designed API.]

[Technical Inventory:

• Technology: TypeScript
• Framework: VSCode API (specifically vscode.ChatSessionContentProvider and vscode.ChatSessionItemProvider)
• Key Class: CopilotCloudSessionsProvider - This class is intended to manage chat sessions and their interactions.]

[Code Archaeology:

• File: copilotCloudSessionsProvider.ts
  • Key Code Segment: The class CopilotCloudSessionsProvider extends Disposable and implements vscode.ChatSessionContentProvider and vscode.ChatSessionItemProvider. It includes an event emitter for committing chat session items.]

[Progress Assessment:

• Completed Tasks: The user has defined the need for an API and shared relevant code context.
• Partially Complete Work: The implementation of the API has not yet begun, but the user has indicated readiness to start.]

[Context Validation: All necessary context for continuing the work on the API design and implementation is captured, including the user's goals and the relevant code structure.]

[Recent Commands Analysis:

• Last Agent Commands: The user executed commands to share the file context and request the start of the implementation.
• Tool Results Summary: The user provided excerpts from the copilotCloudSessionsProvider.ts file, indicating the current selection and context for the API design.
• Pre-Summary State: The agent was actively preparing to assist with the implementation of the API when the token budget was exceeded.
• Operation Context: The commands executed were directly related to the user's goal of designing and implementing a new API for chat session interactions.]

1. Conversation Overview: - Primary Objectives: "We want to design a way for provided chat sessions... to 'hook' into the archive and perform an action..." and "Start implementation." - Session Context: The user initiated the conversation by outlining a requirement for an API to manage chat sessions in VSCode, followed by providing relevant code context and expressing readiness to implement the design. - User Intent Evolution: The user transitioned from designing the API to actively wanting to implement it.

2. Technical Foundation:

• TypeScript: Used for developing the VSCode extension.
• VSCode API: Specifically utilizing vscode.ChatSessionContentProvider and vscode.ChatSessionItemProvider for managing chat sessions.
• Class: CopilotCloudSessionsProvider: Manages chat sessions and includes an event emitter for session item commits.

3. Codebase Status:

• File Name: copilotCloudSessionsProvider.ts
  • Purpose: To manage chat sessions and provide an interface for chat session interactions.
  • Current State: The user has shared the class definition and is ready to implement the API.
  • Key Code Segments: The class extends Disposable and implements necessary interfaces, with an event emitter for session item commits.
  • Dependencies: Relies on the VSCode API for chat session management.

4. Problem Resolution:

• Issues Encountered: None explicitly mentioned; the focus has been on design and readiness for implementation.
• Solutions Implemented: The user has defined the API requirements and is prepared to start coding.
• Debugging Context: No ongoing troubleshooting efforts have been noted.
• Lessons Learned: The importance of clear API design for effective chat session management.

5. Progress Tracking:

• Completed Tasks: User has defined the API requirements and provided code context.
• Partially Complete Work: Implementation of the API is pending.
• Validated Outcomes: No features have been confirmed working yet as implementation has not started.

6. Active Work State:

• Current Focus: The user is focused on implementing the designed API for chat sessions.
• Recent Context: The user has been sharing code excerpts and expressing readiness to begin implementation.
• Working Code: The user has selected lines in copilotCloudSessionsProvider.ts for context.
• Immediate Context: The user is ready to start the implementation of the API.

7. Recent Operations:

• Last Agent Commands: The user provided context from the `cop...

Created from VS Code.

---

💬 We'd love your input! Share your thoughts on Copilot coding agent in our 2 minute survey.