foxhunt/AGENT_151_QUICK_REFERENCE.md

Agent 151 Quick Reference

Status: ✅ VALIDATED (with critical PPO issue)

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What Works ✅

1. DQN Model Loading: Real neural network from JSON checkpoints
2. Ensemble Coordinator: Aggregates real model predictions
3. Model Registry: Hot-swappable model management
4. Real Inference: No more mock predictions

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Critical Issue ⚠️

PPO model does NOT load checkpoints - uses random weights instead of trained Sharpe 1.59/1.48 models.

Location: services/trading_service/src/services/enhanced_ml.rs:1274

pub fn from_checkpoint(
    model_id: String,
    _actor_path: &Path,   // ← IGNORED
    _critic_path: &Path,  // ← IGNORED
) -> ml::MLResult<Self> {
    let agent = WorkingPPO::new(config)?;  // ← RANDOM INIT, NOT TRAINED

    // TODO: Implement load_checkpoint for PPO
    Ok(Self { agent })
}

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Production Readiness

Model	Status	Deploy?
DQN	✅ Loads checkpoints	✅ YES
PPO	❌ Random weights	❌ NO
TFT	❌ Not implemented	❌ NO

Ensemble: ⚠️ NOT PRODUCTION READY (1/3 models is random)

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Fix Required (2-3 hours)

Step 1: Implement WorkingPPO::load_checkpoint() in ml/src/ppo/mod.rs

impl WorkingPPO {
    pub fn load_checkpoint(
        &mut self,
        actor_path: &Path,
        critic_path: &Path,
    ) -> Result<(), MLError> {
        use candle_core::safetensors::load;

        let actor_tensors = load(actor_path, &self.device)?;
        self.policy_net.load_state_dict(actor_tensors)?;

        let critic_tensors = load(critic_path, &self.device)?;
        self.value_net.load_state_dict(critic_tensors)?;

        Ok(())
    }
}

Step 2: Update RealPPOModel::from_checkpoint() to call it

let mut agent = WorkingPPO::new(config)?;
agent.load_checkpoint(actor_path, critic_path)?;  // ← ADD THIS LINE

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Files Modified by Agent 141

1. services/trading_service/src/services/enhanced_ml.rs

   • Added RealDQNModel (lines 1115-1247) ✅
   • Added RealPPOModel (lines 1253-1367) ⚠️
   • Implemented load_model_from_file() ✅

2. services/trading_service/src/ensemble_coordinator.rs

   • Replaced mock predictions with real inference ✅

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Model Files

✅ ml/trained_models/production/dqn/dqn_epoch_30.safetensors (74KB)
✅ ml/trained_models/production/ppo/ppo_actor_epoch_130.safetensors (42KB)
✅ ml/trained_models/production/ppo/ppo_critic_epoch_130.safetensors (42KB)
✅ ml/trained_models/production/ppo/ppo_actor_epoch_420.safetensors (42KB)
✅ ml/trained_models/production/ppo/ppo_critic_epoch_420.safetensors (42KB)

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Next Agent

Agent 152: Implement PPO checkpoint loading (CRITICAL for production)

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Agent 151: ✅ COMPLETE