Purple Flea + Instructor

import instructor import purpleflea as pf from openai import OpenAI from pydantic import BaseModel, Field, validator from typing import Literal class TradeDecision(BaseModel): symbol: str = Field(..., description="e.g. BTC, ETH, SOL") side: Literal["long", "short"] size_usd: float = Field(..., gt=0, le=1000) leverage: int = Field(1, ge=1, le=10) reasoning: str confidence: float = Field(..., ge=0, le=1) @validator('symbol') def symbol_uppercase(cls, v): return v.upper() client = instructor.from_openai(OpenAI()) pf_client = pf.Client(api_key="YOUR_KEY") market_context = pf_client.trading.get_price("BTC") candles = pf_client.trading.get_candles("BTC", "1h", limit=24) decision = client.chat.completions.create( model="gpt-4o", response_model=TradeDecision, messages=[ {"role": "system", "content": "You are a crypto trader. Output your decision."}, {"role": "user", "content": f"BTC data: {market_context}, candles: {candles[-5:]}"} ] ) # decision is a validated TradeDecision object, never None print(f"Trade: {decision.side} {decision.symbol}") print(f"Confidence: {decision.confidence:.0%}") print(f"Reasoning: {decision.reasoning}") if decision.confidence > 0.7: trade = pf_client.trading.open_trade( symbol=decision.symbol, side=decision.side, size=decision.size_usd / market_context['price'], leverage=decision.leverage ) print(f"Executed: {trade['position_id']}")

from pydantic import BaseModel, Field class CasinoBetDecision(BaseModel): game: Literal["dice", "roulette", "blackjack"] bet_amount: float = Field(..., gt=0, le=10) # Dice-specific (optional) dice_target: int | None = Field(None, ge=1, le=98) dice_direction: Literal["over", "under"] | None = None expected_value: float = Field(..., ge=-1, le=1) kelly_fraction: float = Field(..., gt=0, le=0.25) balance = pf_client.wallet.get_balance() bet = client.chat.completions.create( model="gpt-4o", response_model=CasinoBetDecision, messages=[{ "role": "user", "content": f"""Apply Kelly Criterion to decide a casino bet. Current balance: ${balance['total_usd']:.2f} Max bet: $10 (1% of bankroll) Available games: dice (2% house edge), roulette Output a bet decision with kelly_fraction <= 0.25""" }] ) # The bet is always valid — Instructor guarantees it if bet.game == "dice" and bet.dice_target: result = pf_client.casino.play_dice( bet_amount=str(bet.bet_amount), target=bet.dice_target, direction=bet.dice_direction ) print(f"Dice: {result['roll']} | Won: {result['won']}")