Auditable Enterprise LLM Agent Harness Architect
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
Tag Collection
2 published prompts tagged “可审计性”. Browse by scenario and copy in one click.
Few indexable prompts for this tag; the page may be noindex.
2 prompts
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
Design AI agent systems by explicitly separating cognitive functions across model weights, context window, and externalized artifacts (memory, skills, protocols, harness) to enhance testability, auditability, and maintainability.
They are reusable LLM prompt templates labeled with “可审计性” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.