Agent states

bull_history: str = Field(
    default="",
    title="Bull History",
    description="Cumulative debate transcript from the bull researcher",
)

bear_history: str = Field(
    default="",
    title="Bear History",
    description="Cumulative debate transcript from the bear researcher",
)

history: str = Field(
    default="", title="History", description="Complete combined debate transcript"
)

current_response: str = Field(
    default="", title="Current Response", description="Latest response in the debate"
)

judge_decision: str = Field(
    default="", title="Judge Decision", description="Final decision made by the research manager"
)

count: int = Field(default=0, title='Count', description='Number of debate turns completed')

aggressive_history: str = Field(
    default="",
    title="Aggressive History",
    description="Cumulative debate transcript from the aggressive analyst",
)

conservative_history: str = Field(
    default="",
    title="Conservative History",
    description="Cumulative debate transcript from the conservative analyst",
)

neutral_history: str = Field(
    default="",
    title="Neutral History",
    description="Cumulative debate transcript from the neutral analyst",
)

history: str = Field(
    default="", title="History", description="Complete combined risk debate transcript"
)

latest_speaker: str = Field(
    default="", title="Latest Speaker", description="Name of the analyst who spoke most recently"
)

current_aggressive_response: str = Field(
    default="",
    title="Current Aggressive Response",
    description="Latest response from the aggressive analyst",
)

current_conservative_response: str = Field(
    default="",
    title="Current Conservative Response",
    description="Latest response from the conservative analyst",
)

current_neutral_response: str = Field(
    default="",
    title="Current Neutral Response",
    description="Latest response from the neutral analyst",
)

judge_decision: str = Field(
    default="", title="Judge Decision", description="Final decision made by the risk manager"
)

count: int = Field(default=0, title='Count', description='Number of debate turns completed')

messages: list[AnyMessage] = Field(
    default_factory=list,
    title="Messages",
    description="Conversation history shared across all agent nodes",
)

company_of_interest: str = Field(
    default="",
    title="Company of Interest",
    description="Ticker symbol or company name being analyzed",
)

trade_date: str = Field(
    default="",
    title="Trade Date",
    description="The date on which the trading decision is being made",
)

market_report: str = Field(
    default="",
    title="Market Report",
    description="Technical analysis report produced by the Market Analyst",
)

sentiment_report: str = Field(
    default="",
    title="Sentiment Report",
    description="Social sentiment report produced by the Social Media Analyst",
)

news_report: str = Field(
    default="",
    title="News Report",
    description="News analysis report produced by the News Analyst",
)

fundamentals_report: str = Field(
    default="",
    title="Fundamentals Report",
    description="Fundamentals report produced by the Fundamentals Analyst",
)

investment_debate_state: InvestDebateState = Field(
    default_factory=InvestDebateState,
    title="Investment Debate State",
    description="Running state of the Bull/Bear investment debate",
)

investment_plan: str = Field(
    default="",
    title="Investment Plan",
    description="Investment plan produced by the Research Manager",
)

trader_investment_plan: str = Field(
    default="", title="Trader Investment Plan", description="Trading plan produced by the Trader"
)

risk_debate_state: RiskDebateState = Field(
    default_factory=RiskDebateState,
    title="Risk Debate State",
    description="Running state of the three-way risk debate",
)

final_trade_decision: str = Field(
    default="",
    title="Final Trade Decision",
    description="Final BUY/SELL/HOLD decision produced by the Risk Manager",
)