You will get AgentGuard Pro: Practical Guardrails for LLM Agents (Python)

Ana V.Status: Offline
Ana V.

Let a pro handle the details

Buy Scripting services from Ana, priced and ready to go.
Ana V.Status: Offline
Ana V.

Let a pro handle the details

Buy Scripting services from Ana, priced and ready to go.

Project details

> The Problem You're Solving

As LLMs and autonomous agents become part of real systems, a new class of problems shows up in production:

✘ Users override system instructions with simple prompt tricks
✘ Agents call tools in ways you didn't anticipate
✘ Model outputs leak sensitive data or violate internal rules
✘ "Jailbreaks" that look trivial in hindsight cause real incidents

Most teams discover these issues after something breaks.

> What You Get

Production-Ready Python Code (~1,200 lines)
✓ Clean, documented, tested
✓ No hidden logic or magic
✓ MIT licensed

Curated Pattern Library
✓ 30+ attack patterns from real incidents
✓ Input validation patterns
✓ Secret/PII detection patterns
✓ Tool validation patterns

Professional Documentation
✓ Complete user guide
✓ Full API reference
✓ Customization guide
✓ Quick start (5 minutes)

Working Examples
✓ OpenAI integration
✓ Anthropic integration
✓ Agent frameworks
✓ Production patterns

Comprehensive Test Suite
✓ 50+ automated tests included
✓ Real attack validation
✓ Installation validator
Programming Languages
Python

What's included $39

These options are included with the project scope.

$39
  • Delivery Time 3 days
  • Number of Revisions 2
Optional add-ons You can add these on the next page.
Test Script (+ 2 Days)
+$10

Frequently asked questions

Ana V.Status: Offline

About Ana

Ana V.Status: Offline
Developer for Practical Scripts & Tools | Python, AI & Automation
Recife, Brazil - 1:05 am local time
Hi, I'm Ana!

Artificial Intelligence Engineer @ Indicum.AI

BS Computer Science • Postgraduate Student in AI & Deep Learning

I am an engineer bridging the gap between academic research and production systems. Currently working in R&D, I specialize in designing AIOps frameworks for AI Agents and orchestrating MLOps lifecycles in multi-cloud environments.

## Tech Stack

Generative AI: State of Art LLMs, AWS Bedrock, LangChain, Hugging Face Transformers, RAG
MLOps & Evaluation: Databricks, MLflow, Agent Evaluation Frameworks, Pydantic
Cloud & DevOps: GCP, AWS (Lambda, EC2, SageMaker), Docker, Bitbucket (CI/CD), Git Bash
Data Engineering: Apache Spark, Airflow, Kafka, SQL, MongoDB
Core Languages: Python (SOTA libraries), .NET (C#), C++, Bash

## Featured Projects

- SRAG Intelligent Analytics (Gemini): PoC for epidemiological surveillance using Google Gemini. Features RAG for real-time news correlation and privacy-preserving analysis.

- Big Data ETL Pipeline: End-to-end data engineering pipeline using Apache Spark, Airflow, and MongoDB to process and stage high-volume datasets.

- AWS Cost Optimization: Cloud-native application (Flask/AWS) designed to optimize pharmaceutical pricing structures and reduce infrastructure costs.

- Deep Learning Research: Implementation of Reinforcement Learning agents and real-time Computer Vision systems.

Steps for completing your project

After purchasing the project, send requirements so Ana can start the project.

Delivery time starts when Ana receives requirements from you.

Ana works on your project following the steps below.

Revisions may occur after the delivery date.

Research Real-World LLM Security Incidents

● Analyzed known jailbreak attempts (DAN, prompt injection, etc.) ● Studied production security failures ● Compiled attack patterns from public disclosures

Build Pattern Library

● Created 30+ detection patterns based on real attacks ● Categorized by type (instruction override, role manipulation, etc.) ● Tested against known jailbreak examples

Review the work, release payment, and leave feedback to Ana.