* Enhance report generation and team leader prompts with conditional output rules for empty sections. * Update .gitignore and configuration for model adjustments; refine query classification prompt * Enforce max response length in prompts * Documentazione tool essenziale per il loro utilizzo da parte degli LLM. * istruzioni chiare sui tool disponibili nei promt degli agenti * corretto incongruenze nel report generation prompt * convertito i promt in file markdown
28 lines
990 B
Python
28 lines
990 B
Python
from pathlib import Path
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from datetime import datetime
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__PROMPTS_PATH = Path(__file__).parent
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def __load_prompt(file_name: str) -> str:
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file_path = __PROMPTS_PATH / file_name
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content = file_path.read_text(encoding='utf-8').strip()
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# Replace {{CURRENT_DATE}} placeholder with actual current date
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current_date = datetime.now().strftime("%Y-%m-%d")
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content = content.replace("{{CURRENT_DATE}}", current_date)
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return content
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TEAM_LEADER_INSTRUCTIONS = __load_prompt("team_leader.md")
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MARKET_INSTRUCTIONS = __load_prompt("team_market.md")
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NEWS_INSTRUCTIONS = __load_prompt("team_news.md")
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SOCIAL_INSTRUCTIONS = __load_prompt("team_social.md")
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QUERY_CHECK_INSTRUCTIONS = __load_prompt("query_check.md")
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REPORT_GENERATION_INSTRUCTIONS = __load_prompt("report_generation.md")
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__all__ = [
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"TEAM_LEADER_INSTRUCTIONS",
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"MARKET_INSTRUCTIONS",
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"NEWS_INSTRUCTIONS",
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"SOCIAL_INSTRUCTIONS",
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"QUERY_CHECK_INSTRUCTIONS",
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"REPORT_GENERATION_INSTRUCTIONS",
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] |