Yijia-Xiao
6b384f74f9
output_language config now propagates to every user-facing agent. Previously only the four analysts and portfolio manager respected the setting, producing partial-localization reports with English debate text interleaved with non-English analyst sections. Verified live: 7 agents produce Chinese output when config is set to Chinese. #575
64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
from langchain_core.messages import HumanMessage, RemoveMessage
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# Import tools from separate utility files
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from tradingagents.agents.utils.core_stock_tools import (
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get_stock_data
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)
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from tradingagents.agents.utils.technical_indicators_tools import (
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get_indicators
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)
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from tradingagents.agents.utils.fundamental_data_tools import (
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get_fundamentals,
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get_balance_sheet,
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get_cashflow,
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get_income_statement
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)
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from tradingagents.agents.utils.news_data_tools import (
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get_news,
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get_insider_transactions,
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get_global_news
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)
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def get_language_instruction() -> str:
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"""Return a prompt instruction for the configured output language.
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Returns empty string when English (default), so no extra tokens are used.
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Applied to every agent whose output reaches the saved report —
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analysts, researchers, debaters, research manager, trader, and
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portfolio manager — so a non-English run produces a fully localized
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report rather than a mix of languages.
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"""
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from tradingagents.dataflows.config import get_config
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lang = get_config().get("output_language", "English")
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if lang.strip().lower() == "english":
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return ""
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return f" Write your entire response in {lang}."
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def build_instrument_context(ticker: str) -> str:
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"""Describe the exact instrument so agents preserve exchange-qualified tickers."""
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return (
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f"The instrument to analyze is `{ticker}`. "
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"Use this exact ticker in every tool call, report, and recommendation, "
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"preserving any exchange suffix (e.g. `.TO`, `.L`, `.HK`, `.T`)."
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)
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def create_msg_delete():
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def delete_messages(state):
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"""Clear messages and add placeholder for Anthropic compatibility"""
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messages = state["messages"]
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# Remove all messages
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removal_operations = [RemoveMessage(id=m.id) for m in messages]
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# Add a minimal placeholder message
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placeholder = HumanMessage(content="Continue")
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return {"messages": removal_operations + [placeholder]}
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return delete_messages
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