fix: handle comma-separated indicators in get_indicators tool
LLMs (especially smaller models) sometimes pass multiple indicator names as a single comma-separated string instead of making separate tool calls. Split and process each individually at the tool boundary.
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@ -10,14 +10,22 @@ def get_indicators(
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look_back_days: Annotated[int, "how many days to look back"] = 30,
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) -> str:
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"""
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Retrieve technical indicators for a given ticker symbol.
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Retrieve a single technical indicator for a given ticker symbol.
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Uses the configured technical_indicators vendor.
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Args:
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symbol (str): Ticker symbol of the company, e.g. AAPL, TSM
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indicator (str): Technical indicator to get the analysis and report of
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indicator (str): A single technical indicator name, e.g. 'rsi', 'macd'. Call this tool once per indicator.
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curr_date (str): The current trading date you are trading on, YYYY-mm-dd
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look_back_days (int): How many days to look back, default is 30
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Returns:
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str: A formatted dataframe containing the technical indicators for the specified ticker symbol and indicator.
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"""
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return route_to_vendor("get_indicators", symbol, indicator, curr_date, look_back_days)
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# LLMs sometimes pass multiple indicators as a comma-separated string;
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# split and process each individually.
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indicators = [i.strip() for i in indicator.split(",") if i.strip()]
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if len(indicators) > 1:
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results = []
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for ind in indicators:
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results.append(route_to_vendor("get_indicators", symbol, ind, curr_date, look_back_days))
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return "\n\n".join(results)
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return route_to_vendor("get_indicators", symbol, indicator.strip(), curr_date, look_back_days)
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