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Enhance scripting agent to support playwright and Filter out any code or PII data

Enhance scripting agent to support playwright and Filter out any code or PII data

Pending
💰 CAD 30–250 👤 Unknown 🕒 6d ago status: new
Python Machine Learning (ML) Artificial Intelligence AI (Artificial Intelligence) HW/SW Natural Language Processing AI Agents
Enhance scripting agent to support playwright and Filter out any code or PII data from sending to LLM I have an in-house AI agent that Identifying code updates and new feature additions and update the k6 and selenium scripts or create new scripts accordingly . however, The project is partially developed, it creates selenium, k6 and loadrunner scripts and deployed in aws bedrock agent core runtime . we need to add playwright and make the overall solution more robust to support complex flows like journey flows in the script . Your task is to create a new agent so it watches a codebase , create k6 , loadrunner, selenium and playwright scripts for new functionality or update any existing scripts to add new functionality mentioned above . Filter out any code or PII data : GitHub Repo ↓ Code Scanner Agent ↓ PII/Secret Redaction ↓ Metadata Extractor ↓ LLM ↓ Generate k6 / Selenium / LoadRunner scripts ↓ Human review ↓ Commit generated scripts Agent to be developed using Microsoft copilot studio or AI foundry Deliverables : 1. New agent code with clear comments. 2. Detection logic covering the scenarios above, demonstrated with sample PRs. 3. Code should be run locally without pushing to github first for internal demo , then for production version it should be through github and cicd pipeline deployed in aws bedrock agent core runtime 4. A concise README explaining setup plus a one-command demo. 5. code walkthrough through anydesk Acceptance will be based on a pull request against a staging branch, where your agent must detect a simulated library upgrade and a small feature file, then update the functional tests and performance scripts so all pipelines pass. 6. Filter out any code or sensitivity data before sending to LLM
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