Content → LLM Router → Fast/Verify Path → ProMem Extraction
                                               ↓
         Spreading Activation ← Compressed Output ← Verification
                                               ↓
                                       Tiered Storage

COMPRESSION_ENABLED=true
COMPRESSION_LLM_FAST_PROVIDER=openai
COMPRESSION_LLM_FAST_MODEL=gpt-4o-mini
COMPRESSION_LLM_VERIFY_PROVIDER=anthropic
COMPRESSION_LLM_VERIFY_MODEL=claude-3-5-sonnet
COMPRESSION_COMPLEXITY_THRESHOLD=0.6
COMPRESSION_MODE=extract

from hystersis import Hystersis

client = Hystersis(api_key="your-api-key")

# Create memory with compression
memory = client.create_memory(
    content="User prefers dark mode and works late hours from 9 PM to 5 AM",
    compression_mode="extract"
)

# Get compression stats
stats = client.get_compression_stats()
print(f"Accuracy retention: {stats.accuracy_retention}")
print(f"Token reduction: {stats.token_reduction}")

# Aggressive: 1-day hot retention
TIER_POLICY=aggressive

# Balanced: 7-day hot retention (default)
TIER_POLICY=balanced

# Conservative: 30-day hot retention
TIER_POLICY=conservative