Technical Appendix

I. Solution Overview

The LLM Auditor Agent is PFZ Limited's flagship enterprise solution, designed to provide verifiable, automated fact-checking for Large Language Model (LLM) outputs. Our solution leverages a serverless, production-grade architecture deployed entirely on Google Cloud to ensure scalability, compliance, and data security.

The core technology relies on a Retrieval-Augmented Generation (RAG) pipeline built upon several core Google Cloud services, which is detailed below.

II. Core Integration Points and Architecture

Our architecture is certified stable and built around three major integration points, explicitly utilizing Google Cloud services for every critical component.

1. Event-Driven Data Ingestion Pipeline

Our solution uses a secure, serverless data pipeline to continuously feed verifiable knowledge into the RAG system.

• Cloud Storage: Serves as the secure entry point (hot folder) for all raw enterprise documents (PDF, TXT, etc.). Document upload to the dedicated bucket (pfz-llm-auditor-agent-ingestion) initiates the entire flow.
• Eventarc: Provides the instantaneous, event-driven mechanism that detects a new file arrival in Cloud Storage and triggers the containerized microservice immediately upon file completion.
• Cloud Run: Hosts the entirely serverless, stateless Ingestion Service microservice, executing the Python code to process file content.
• Vertex AI Search API: Destination for all verifiable content. The Cloud Run service calls the Vertex AI Search API to index data, creating the internal RAG knowledge base.

2. Agent Deployment and Hosting

The core reasoning logic of the LLM Auditor Agent is deployed to Google Cloud's managed runtime for enterprise agents.

• Vertex AI Agent Engine: The fully managed runtime that hosts the LLM Auditor Agent as a Reasoning Engine resource, accessible via its unique Resource ID.
• Vertex AI Platform: Provides the foundation for agent orchestration and underlying Gemini model access, providing governance, monitoring, and scale.

3. Verification of Integration

The functionality of the system is certified by the successful execution of the agent, which proves all components are correctly integrated:

Resource ID: projects/914092740609/locations/us-central1/reasoningEngines/7129431306592583680

End-to-End Proof: The agent successfully uses the Vertex AI Search knowledge base to audit a claim, providing a fact-checking breakdown and a corrective, cited output.

Visual Proof: A comprehensive video demonstration showing the end-to-end integration (Cloud Storage upload, Cloud Run event trigger, and successful agent deployment confirmation) is available on YouTube.

IV. Conclusion

PFZ Limited is fully committed to the Google Cloud ecosystem. This technical architecture is built for long-term success and security, leveraging serverless GCP services—Cloud Storage, Eventarc, Cloud Run, and the Vertex AI Platform—to deliver a production-ready, highly verifiable AI product that fully meets the requirements of a Google Cloud Build Partner.