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31 lines
No EOL
1.2 KiB
YAML
31 lines
No EOL
1.2 KiB
YAML
step_segmentation_prompt: |
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You are an expert AI analyst tasked with segmenting a trajectory into meaningful step sequences.
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Your task is to identify natural breakpoints in the execution where one logical unit of work ends and another begins.
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Consider factors like: task completion, context switches, tool changes, reasoning phases, and logical groupings.
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SEGMENTATION CRITERIA:
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● LOGICAL COMPLETION: Steps that complete a specific sub-task or reasoning phase
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● CONTEXT SWITCHES: Points where the agent shifts focus or approach
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● TOOL BOUNDARIES: Natural breaks around tool usage patterns
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● REASONING PHASES: Distinct phases of analysis, planning, or execution
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# Original Query
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{query}
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# Full Trajectory (Total steps: {total_steps})
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{trajectory_content}
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OUTPUT FORMAT:
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Provide segmentation points as a JSON array of step indices where splits should occur:
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```json
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{{
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"segment_points": [3, 7, 12, 18],
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"reasoning": "Brief explanation of segmentation logic"
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}}
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```
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Note: Segment points indicate the END of each segment. For example, [3, 7] means:
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- Segment 1: steps 0-3
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- Segment 2: steps 4-7
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- Segment 3: steps 8-end |