4112be7ad5
Allows OmO agent to cleanup all running background tasks before providing final answers. 🤖 GENERATED WITH ASSISTANCE OF [OhMyOpenCode](https://github.com/code-yeongyu/oh-my-opencode)
37 lines
1.8 KiB
TypeScript
37 lines
1.8 KiB
TypeScript
export const BACKGROUND_TASK_DESCRIPTION = `Launch a background agent task that runs asynchronously.
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The task runs in a separate session while you continue with other work. The system will notify you when the task completes.
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Use this for:
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- Long-running research tasks
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- Complex analysis that doesn't need immediate results
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- Parallel workloads to maximize throughput
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Arguments:
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- description: Short task description (shown in status)
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- prompt: Full detailed prompt for the agent (MUST be in English for optimal LLM performance)
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- agent: Agent type to use (any agent allowed)
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IMPORTANT: Always write prompts in English regardless of user's language. LLMs perform significantly better with English prompts.
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Returns immediately with task ID and session info. Use \`background_output\` to check progress or retrieve results.`
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export const BACKGROUND_OUTPUT_DESCRIPTION = `Get output from a background task.
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Arguments:
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- task_id: Required task ID to get output from
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- block: If true, wait for task completion. If false (default), return current status immediately.
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- timeout: Max wait time in ms when blocking (default: 60000, max: 600000)
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The system automatically notifies when background tasks complete. You typically don't need block=true.`
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export const BACKGROUND_CANCEL_DESCRIPTION = `Cancel running background task(s).
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Only works for tasks with status "running". Aborts the background session and marks the task as cancelled.
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Arguments:
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- taskId: Task ID to cancel (optional if all=true)
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- all: Set to true to cancel ALL running background tasks at once (default: false)
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**Cleanup Before Answer**: When you have gathered sufficient information and are ready to provide your final answer to the user, use \`all=true\` to cancel ALL running background tasks first, then deliver your response. This conserves resources and ensures clean workflow completion.`
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