allow one shot research
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@ -66,16 +66,20 @@ Single-Shot Task Detection
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Autonomously determine if a task can be completed immediately without further planning:
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- Simple informational queries that can be answered directly from research
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- Requests that don't require complex analysis or implementation
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- Basic implementation tasks that don't require complex changes
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- Cases where further planning would not add value
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- Situations where immediate response meets all user requirements
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One-shot completion will be blocked if:
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- Research subtasks have been requested (must wait for research summary)
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- Complex implementation has been explicitly requested
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If you determine a task can be completed in a single shot:
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1. Complete the necessary research to fully answer the query
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1. Complete the necessary research or basic implementation work
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2. Document your findings using emit_research_notes
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3. Call one_shot_completed() to immediately conclude the task
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Only use single-shot completion when you are confident no implementation or further planning is needed.
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Only use single-shot completion for truly straightforward tasks that don't require additional planning or extensive changes.
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Thoroughness and Completeness
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@ -247,11 +247,16 @@ def one_shot_completed(message: str) -> str:
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message: Completion message to display
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Raises:
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TaskCompletedException: Always raised to stop execution
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ValueError: If there are pending research subtasks or implementation requests
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TaskCompletedException: When task is truly complete with no pending items
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Returns:
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Never returns, always raises exception
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"""
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if len(_global_memory['research_subtasks']) > 0:
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raise ValueError("Cannot complete in one shot - research subtasks pending")
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if len(_global_memory['implementation_requested']) > 0:
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raise ValueError("Cannot complete in one shot - implementation was requested")
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raise TaskCompletedException(message)
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def get_memory_value(key: str) -> str:
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