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@Copilot Copilot AI commented Oct 15, 2025

Coding agent has begun work on Capabilities of the chatbot and will update this pull request as work progresses.

Original prompt

你能做什么

[Chronological Review: The conversation began with the user asking "你能做什么" (What can you do?). This indicates an inquiry into the capabilities of the assistant. The context provided includes the current date, the user's active file, and repository details, but no further actions or commands were executed by the agent.]

[Intent Mapping: The user explicitly requested information about the assistant's capabilities, indicating a desire to understand what tasks or functions can be performed.]

[Technical Inventory: The conversation includes references to a specific file path (/Users/qingyi/Documents/work/github/opensumi/packages/monaco/src/browser/ai-native/BaseInlineContentWidget.tsx) and repository details (repository name: core, owner: opensumi, current branch: main). However, no specific technical concepts, tools, or frameworks were discussed in detail.]

[Code Archaeology: No specific code changes, files, or functions were mentioned or modified during this conversation.]

[Progress Assessment: There has been no progress made on any tasks as the conversation has only included inquiries about capabilities.]

[Context Validation: The context for continuation is limited to the user's inquiry about the assistant's capabilities and the current file and repository information.]

[Recent Commands Analysis: The last agent command was the user asking "你能做什么." There were no tool results or commands executed by the agent in response to this inquiry. The agent was not actively working on any specific task when the token budget was exceeded.]

1. Conversation Overview: - Primary Objectives: The user asked, "你能做什么" (What can you do?), seeking to understand the assistant's capabilities. - Session Context: The conversation has focused solely on the user's inquiry about the assistant's functions, with no further actions taken. - User Intent Evolution: The user's intent has remained consistent, focusing on understanding the assistant's capabilities.
  1. Technical Foundation:
  • No specific technologies, frameworks, or architectural patterns were discussed in this conversation.
  1. Codebase Status:
  • No files or code changes were discussed or modified.
  1. Problem Resolution:
  • Issues Encountered: None, as the conversation has not progressed to any technical challenges.
  • Solutions Implemented: None.
  • Debugging Context: None.
  • Lessons Learned: None.
  1. Progress Tracking:
  • Completed Tasks: None.
  • Partially Complete Work: None.
  • Validated Outcomes: None.
  1. Active Work State:
  • Current Focus: The user was inquiring about the assistant's capabilities.
  • Recent Context: The last few exchanges revolved around the user's question about what the assistant can do.
  • Working Code: No code was discussed or modified.
  • Immediate Context: The user was simply asking about the assistant's capabilities.
  1. Recent Operations:
  • Last Agent Commands: The user asked, "你能做什么."
  • Tool Results Summary: No tool results were generated as the assistant did not execute any commands.
  • Pre-Summary State: The agent was not actively engaged in any task when the token budget was exceeded.
  • Operation Context: The inquiry about capabilities was the only operation performed, with no direct connection to user goals beyond understanding the assistant's functions.
  1. Continuation Plan:
  • Pending Task 1: The user may need to specify tasks or questions for the assistant to address.
  • Pending Task 2: Further clarification on what specific assistance or information the user requires.
  • Priority Information: Understanding the assistant's capabilities is the current priority.
  • Next Action: The user should provide more specific requests or tasks for the assistant to assist with.
TITLE: Capabilities of the chatbot

Created from VS Code via the GitHub Pull Request extension.


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@CLAassistant
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CLA assistant check
Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
You have signed the CLA already but the status is still pending? Let us recheck it.

1 similar comment
@CLAassistant
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CLA assistant check
Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
You have signed the CLA already but the status is still pending? Let us recheck it.

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3 participants