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🔨 AgentStudio

🔨 AgentStudio - Pseudo-Lab 11th AI Agent Project
"Bridging the intergenerational knowledge gap with AI and sharing positive influence."

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🤖 Kiosk Agent

Vision-Language-Action (VLA) Agent for Automated Kiosk Interaction

Kiosk Agent is an AI system that utilizes Vision-Language Models (VLM) to automatically control Android kiosk applications. It interprets visual interfaces and executes precise actions to assist users who may find digital kiosks challenging.

✨ Features

• Gemini-Powered Reasoning: Support for both gemini-3-flash (high-speed) and gemini-3-pro (high-reasoning) models.
• VLA Paradigm: Seamless workflow: Vision → Language → Action.
• AG-UI Protocol: Standardized agent-to-UI communication protocol via SSE.
• Multi-Framework Support: Built on LangGraph, with extensions for CrewAI and Google ADK.
• Human-in-the-Loop (HITL): Asks the user for input when subjective choices are required.
• Planning Mode: Decomposes complex requests into steps with real-time To-do tracking.
• Voice Interface: Supports TTS (CosyVoice3) and STT (Google Cloud).
• Real-time Dashboard: Live monitoring of agent status and screen interactions.

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🧠 Model Configuration

AgentStudio allows you to switch between different Vision-Language Models depending on your needs.

Provider	Model	Status	Key Advantage
Google	gemini-3-flash	✅ Supported	Low latency and cost-efficient
Google	gemini-3-pro	✅ Supported	Advanced reasoning for complex UI
OpenAI	gpt-4o-mini	✅ Supported	Robust performance across various tasks
Google	gemma-3-27b	🔜 Roadmap	Optimized for on-device/local privacy
Microsoft	Fara-7B	🔜 Roadmap	Optimized Computed Ondevice Agent

To switch models, update your .env file:

MODEL_PROVIDER=gemini
GEMINI_MODEL=gemini-3-flash # Options: gemini-3-flash, gemini-3-pro

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📐 Architecture

🔄 VLA Workflow

The VLA paradigm is a continuous cycle where the agent observes, reasons, and executes.

flowchart LR
    A[Screen Capture] --> B[VLM Reasoning]
    B --> C[Action Decode]
    C --> D[Execute ADB]
    D --> E{Done?}
    E -->|No| A
    E -->|FINISH| F[Complete]
    E -->|INTERRUPT| G[Human Input]
    G --> A

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Phase	Description
Screen Capture	Captures Android device screen via ADB
VLM Reasoning	Gemini analyzes the screen to decide the next action
Action Decode	Parses VLM output into structured executable commands
Execute ADB	Controls the device using ADB (tap, swipe, input)
INTERRUPT	Triggers HITL when user intervention is required

🔀 LangGraph State Machine

We manage the agent's logic flow using LangGraph for stable state transitions.

flowchart TD
    START([Start]) --> VLM[VLM Node]
    VLM --> EXEC[Execute Node]
    EXEC --> ROUTER{Router}
    ROUTER -->|LOOP| VLM
    ROUTER -->|INTERRUPT| HUMAN[Human Node]
    ROUTER -->|FINISH| END([End])
    HUMAN -->|Resume| VLM
    HUMAN -->|Abort| END

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🚀 Installation

Prerequisites

• Python: 3.10+ (3.11 recommended)
• Node.js: 18+ (for Dashboard)
• uv: Latest (Fast Python package manager)
• ADB: Android Debug Bridge installed

Step 1: Clone Repository

git clone [https://github.com/Pseudo-Lab/Agent_Studio.git](https://github.com/Pseudo-Lab/Agent_Studio.git)
cd Agent_Studio

Step 2: Environment Setup (using uv)

# Create and activate virtual environment
uv venv .venv
source .venv/bin/activate

# Install dependencies in editable mode
uv pip install -e backend/

Step 3: Configure Environment Variables

cp .env.example .env
# Edit .env with your GOOGLE_API_KEY

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🎯 Supported Actions

Action	Parameters	Description
CLICK	x, y	Tap specific coordinates
INPUT	text	Type text into a field
SWIPE	x1, y1, x2, y2	Scroll or navigate
INTERRUPT	question	Ask user for guidance (HITL)
FINISH	-	Task completed successfully

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🗓️ Roadmap

✅ v1.0.0 (Current)

• LangGraph-based VLA Agent loop.
• Support for Gemini 3 Flash/Pro.
• Planning Mode & HITL system.
• Real-time Dashboard via AG-UI Protocol.

🔜 v1.1.0 (Scheduled Jan 2026)

• Gemma Integration: Support for lightweight, on-device local models.
• Microsoft Agent Framework: Semantic Kernel & Azure AI Agent Service integration.
• Google ADK: Native Gemini Agent Framework support.
• CrewAI: Multi-agent collaboration workflows.

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👥 Team: Agent Studio (Pseudo-Lab)

Name	Role	Focus
Jaehyun Kim	Builder	Frontend (Next.js), Backend (FastAPI)
Seunghyeok Kim	Runner	LangGraph, Reasoning, Prompt Engineering
Gyumin Lee	Runner	VLA Mechanism, LangGraph Architecture
Minjung Jeon	Runner	Voice (TTS/STT), Google ADK

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🗞 License

This project is licensed under the Apache License 2.0.

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Developed with ❤️ by Pseudo-Lab