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@@ -17,11 +17,11 @@ Comprehensive context gathering for planning following <plan_research>:
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## 1. Context gathering and research:
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MANDATORY: Run #executePrompt tool, instructing the agent to work autonomously without pausing for user feedback, following <plan_research> to gather context to return to you.
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MANDATORY: Run #runSubagent tool, instructing the agent to work autonomously without pausing for user feedback, following <plan_research> to gather context to return to you.
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DO NOT do any other tool calls after #executePrompt returns!
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DO NOT do any other tool calls after #runSubagent returns!
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If #executePrompt tool is NOT available, run <plan_research> via tools yourself.
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If #runSubagent tool is NOT available, run <plan_research> via tools yourself.
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## 2. Present a concise plan to the user for iteration:
"modelDescription": "Launch a new agent to handle complex, multi-step tasks autonomously. This tool is good at researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries, use this agent to perform the search for you.\n\n- When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result.\n - Each agent invocation is stateless. You will not be able to send additional messages to the agent, nor will the agent be able to communicate with you outside of its final report. Therefore, your prompt should contain a highly detailed task description for the agent to perform autonomously and you should specify exactly what information the agent should return back to you in its final and only message to you.\n - The agent's outputs should generally be trusted\n - Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user's intent",
"modelDescription": "Launch a new agent to handle complex, multi-step tasks autonomously. This tool is good at researching complex questions, searching for code, and executing multi-step tasks. When you are searching for a keyword or file and are not confident that you will find the right match in the first few tries, use this agent to perform the search for you.\n\n- Agents do not run async or in the background, you will wait for the agent's result.\n- When the agent is done, it will return a single message back to you. The result returned by the agent is not visible to the user. To show the user the result, you should send a text message back to the user with a concise summary of the result.\n - Each agent invocation is stateless. You will not be able to send additional messages to the agent, nor will the agent be able to communicate with you outside of its final report. Therefore, your prompt should contain a highly detailed task description for the agent to perform autonomously and you should specify exactly what information the agent should return back to you in its final and only message to you.\n - The agent's outputs should generally be trusted\n - Clearly tell the agent whether you expect it to write code or just to do research (search, file reads, web fetches, etc.), since it is not aware of the user's intent",
Copy file name to clipboardExpand all lines: package.nls.json
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"github.copilot.config.useResponsesApi": "Use the Responses API instead of the Chat Completions API when supported. Enables reasoning and reasoning summaries.\n\n**Note**: This is an experimental feature that is not yet activated for all users.",
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"github.copilot.config.responsesApiReasoningEffort": "Sets the reasoning effort used for the Responses API. Requires `#github.copilot.chat.useResponsesApi#`.",
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"github.copilot.config.responsesApiReasoningSummary": "Sets the reasoning summary style used for the Responses API. Requires `#github.copilot.chat.useResponsesApi#`.",
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"github.copilot.config.executePrompt.enabled": "The executePrompt tool enables the agent to execute tasks in a separate, isolated context.",
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"github.copilot.config.completionsFetcher": "Sets the fetcher used for the inline completions.",
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"github.copilot.config.nesFetcher": "Sets the fetcher used for the next edit suggestions.",
"github.copilot.command.openCopilotAgentSessionsInBrowser": "Open in browser"
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"github.copilot.command.openCopilotAgentSessionsInBrowser": "Open in browser",
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"copilot.tools.runSubagent.name": "Run Subagent",
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"copilot.tools.runSubagent.description": "Runs a task within an isolated subagent context. Enables efficient organization of tasks and context window management."
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