guardrailed-llm-agent — Step 5: The LLM Risk Manager: Building the Policy Table (snippet 3)

step_5_the_llm_risk_manager_building_the_3.py

# Retry once on parse failure, fall back to rule policy if both fail
for attempt in range(2):
    content = deepseek_chat(messages, max_tokens=2000)
    try:
        obj = parse_json(content)
        return obj.get('policy', {})
    except ValueError as e:
        if attempt == 1:
            print(f'Parse failed twice for {month_start.date()}, using rule fallback')
            return rule_policy(stats)   # deterministic fallback