58f9380ec4
- alphaear-deepear-lite: DeepEar Lite API integration - alphaear-logic-visualizer: Draw.io XML finance diagrams - alphaear-news: Real-time finance news (10+ sources) - alphaear-predictor: Kronos time-series forecasting - alphaear-reporter: Professional financial reports - alphaear-search: Web search + local RAG - alphaear-sentiment: FinBERT/LLM sentiment analysis - alphaear-signal-tracker: Signal evolution tracking - alphaear-stock: A-Share/HK/US stock data Updates: - All scripts updated to use universal .env path - Added JINA_API_KEY, LLM_*, DEEPSEEK_API_KEY to .env.example - Updated load_dotenv() to use ~/.config/opencode/.env
21 lines
679 B
Markdown
21 lines
679 B
Markdown
# AlphaEar Search Prompts
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## Search Cache Relevance (Smart Cache)
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**Prompt:**
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```markdown
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Task: Decide if existing information from previous searches or local news is sufficient for the new search query.
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New Query: "{current_query}"
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Available Information Candidates:
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{candidates_desc}
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Instructions:
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1. Analyze if any candidate provides ENOUGH up-to-date info for the "New Query".
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2. If yes, choose the best one.
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3. If the query implies needing LATEST real-time info and candidates are older than a few hours/days (depending on topic volatility), choose none.
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4. Return strictly JSON: {"reuse": true/false, "index": <candidate_index_int>, "reason": "short explanation"}
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```
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