My Secret to Reliable LLM Log Parsing: No More Hallucinating API Params

Описание и применение

LLM использует строгий JSON‑схему для извлечения параметров из логов микросервисов, а Pydantic проверяет корректность вывода, обеспечивая надёжную автоматизацию.

Задача

Automated extraction of API parameters from noisy microservice logs was unreliable due to LLM hallucinations and inconsistent output formats.

Результат

Consistent, reliable extraction of userId, orderId, productId, and requestMethod from logs, reducing manual troubleshooting effort.

Рабочий процесс

• 1. Send log snippet to LLM with prompt enforcing strict JSON schema and null handling.
• 2. Receive LLM JSON output.
• 3. Validate output with Pydantic ApiParams model.
• 4. If validation passes, use extracted parameters; if not, trigger human review.

Доказательства

The real breakthrough came when I realized I wasn’t being strict enough about the output format.

Источник

I use pydantic for this, because it’s super clean for defining schemas and validating data:

Источник