prompt-engineering

Preventing prompt injection involves isolating untrusted user content using clear delimiters and strict instruction hierarchy. This approach separates trusted system instructions from user inputs to mitigate jailbreak risks and ensure deterministic behavior across multi-step orchestration tasks.

Getting structured JSON output requires using schema-constrained response templates and validating the LLM outputs before using them in code. Applying few-shot examples with validated structured outputs reduces format drift and prevents downstream execution hazards.

Designing multi-step orchestration chains requires explicit routing patterns and structured handoffs between tasks. Using validated routing decisions and explicit allowlists maintains context isolation and ensures deterministic behavior across chain handoffs.

Secrets and credentials should never be placed inside prompt templates. Secret-safe prompt design requires handling PII and credentials in application code rather than in prompt text to prevent accidental exposure and maintain security boundaries.

LLM output format drift during task routing happens when outputs lack validation and schema constraints. Enforcing safety gates by validating LLM outputs before use and applying schema-constrained responses ensures consistent structured data across routing steps.