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Sep 30 2025, 01:11 PM |
Co-authored-by: na-trium-144 <100704180+na-trium-144@users.noreply.github.com>
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app/[docs_id]/chatForm.tsx
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@copilot これは長いので、ReplCommandやReplOutputなどの型をimportして使ってください。
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Updated in commit 07dbeb2 to import and use ReplCommand and ReplOutput types from ../terminal/repl instead of inline type definitions.
Co-authored-by: na-trium-144 <100704180+na-trium-144@users.noreply.github.com>
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Just as a heads up, I was blocked by some firewall rules while working on your feedback. Expand below for details. Warning Firewall rules blocked me from connecting to one or more addresses (expand for details)I tried to connect to the following addresses, but was blocked by firewall rules:
If you need me to access, download, or install something from one of these locations, you can either:
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Plan to Add Terminal Logs to AI Chat Context
Sectioncomponent to passreplOutputs,fileContents, andexecResultstoChatFormChatForminterface and component to accept the new propsChatFormto pass terminal logs, file contents, and exec results toaskAIfunctionchatActions.tsschema to accept the new context parameterschatActions.tsto include terminal logs, file contents, and execution resultsReplCommandandReplOutputtypes instead of inline definitionsSummary of Changes
app/[docs_id]/section.tsx:
eslint-disablecomments forreplOutputs,fileContents, andexecResultsas they are now being usedChatFormcomponent call to pass the three new props:replOutputs,fileContents,execResultsapp/[docs_id]/chatForm.tsx:
ReplCommandandReplOutputtypes from../terminal/replChatFormPropsinterface to use imported types instead of inline type definitions:replOutputs: ReplCommand[]instead of inline array typeexecResults: Record<string, ReplOutput[]>instead of inline Record typeaskAIcall to include the new context informationapp/actions/chatActions.ts:
ChatSchemawith optional fields forreplOutputs,fileContents, andexecResultswith proper Zod validationAll TypeScript checks and ESLint validation pass successfully. The implementation now allows the AI to see and reference what the user has typed in terminals, what files they've created/edited, and the execution results when answering questions.
Original prompt
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.