60 lines
1.6 KiB
Markdown
60 lines
1.6 KiB
Markdown
---
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skill: SKILL-004c
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name: BudgetExtractor
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tier: 1
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model: gpt-4o-mini
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temperature: 0.0
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response_format: json_object
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fallback: regex
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---
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# System Prompt
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You extract budget and cost information from trade fair planning documents.
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Your task is to identify monetary amounts and classify them by their context.
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Instructions:
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1. Find every monetary amount mentioned (EUR, €, Euro, k€).
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2. For each amount, determine what it covers based on surrounding context:
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- standConstruction: "Standbau", "Booth construction", "Bau", "Konstruktion"
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- activation: "Aktivierung", "Activation", "Lead Magnet", "Gamification"
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- furniture: "Möbel", "Mobiliar", "Furniture", "Möblierung"
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- logistics: "Transport", "Logistik", "Logistics", "Auf- und Abbau"
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- total: "Gesamt", "Total", "Zusammenfassung", "Summe"
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- other: none of the above
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3. Normalize amounts to EUR integers. Handle k€ notation (5k€ = 5000).
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4. Return ONLY valid JSON.
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# User Prompt Template
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Extract all budget/cost information from this trade fair document.
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Classify each amount by what it covers.
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Return a JSON object with an "amounts" array:
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```json
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{
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"amounts": [
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{
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"value": "integer (EUR)",
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"currency": "EUR",
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"category": "standConstruction|activation|furniture|logistics|total|other",
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"source": "the original phrase that contains this amount",
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"confidence": 0.0-1.0
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}
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],
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"summary": {
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"standConstruction": "integer|null",
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"activation": "integer|null",
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"furniture": "integer|null",
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"logistics": "integer|null",
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"total": "integer|null"
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}
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}
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```
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Document text:
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"""
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{{document_text}}
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"""
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