LLM Output Parsing

What is LLM Output Parsing?

LLM output parsing is the practice of extracting structured, machine-usable data—JSON, function calls, tool arguments, or typed fields—from free-form language-model responses so downstream systems can act on them safely. Weak parsing and validation are a common root cause of injection into tools, APIs, and databases (OWASP improper output handling).

Related Giskard articles

• Function calling and tool usage testing
• Practical guide on AI security
• OWASP Top 10 for LLM 2025

Test unsafe output parsing with Giskard

When agents parse LLM text into tool calls, validation bugs become security bugs. Giskard’s function-calling and agent tool-use checks catch malformed or malicious structured outputs before they hit production—see testing agent tool usage.

Further reading

Authoritative reference: OWASP LLM05 Improper Output Handling.