VERSIONS_COMPARISON.md

Gradio App Versions Comparison

📊 Overview

Two versions of the Gradio chat UI have been created. Here's a comparison to help you choose:

Version 1: gradio_app.py

Implementation

• Uses vertexai.agent_engines._agent_engines.AgentEngine
• Direct agent instantiation approach

Pros

• ✅ Simpler code structure
• ✅ Direct AgentEngine object usage
• ✅ Good for basic use cases

Cons

• ❌ Less robust error handling
• ❌ May have issues with agent listing
• ❌ No session management
• ❌ Uses internal/private API (_agent_engines)

Best For

• Quick prototypes
• Development/testing
• Simple single-agent scenarios

Version 2: gradio_app_v2.py ⭐ RECOMMENDED

Implementation

• Uses google.cloud.aiplatform_v1beta1.AgentEnginesServiceClient
• Official Google Cloud API client

Pros

• ✅ More reliable agent listing
• ✅ Better error handling
• ✅ Session ID support for conversation continuity
• ✅ Uses official/public API
• ✅ Enhanced UI with examples
• ✅ More informative error messages
• ✅ Better structured code

Cons

• ⚠️ Slightly more complex
• ⚠️ Requires understanding of request/response patterns

Best For

• Production deployments
• Multi-agent scenarios
• Long-term maintenance
• Full-featured applications

🔍 Detailed Comparison

Feature	gradio_app.py	gradio_app_v2.py
Agent Listing	Basic	Robust with caching
Error Handling	Basic	Comprehensive
Session Management	❌ No	✅ Yes
UI/UX	Simple	Enhanced with examples
API Stability	Internal API	Official API
Code Structure	Simpler	Well-organized
Documentation	Basic	Detailed
Examples	❌ No	✅ Yes
Avatar Support	❌ No	✅ Yes
Status Messages	Basic	Emoji + detailed

💻 Code Examples

Version 1 - Agent Querying

agent_engine = AgentEngine(name=agent_resource_name)
response = agent_engine.query(query=message)
response_text = response.text

Version 2 - Agent Querying

client = aiplatform.AgentEnginesServiceClient(
    client_options={"api_endpoint": f"{LOCATION}-aiplatform.googleapis.com"}
)

request = aiplatform.QueryAgentEngineRequest(
    name=agent_name,
    query_config=aiplatform.QueryConfig(query=query_text),
    session_id=session_id,
)

response = client.query_agent_engine(request=request)

🎯 Recommendation

Use gradio_app_v2.py if:

• ✅ You want a production-ready solution
• ✅ You need session management
• ✅ You want better error handling
• ✅ You prefer using official APIs
• ✅ You need a more polished UI

Use gradio_app.py if:

• ✅ You're just testing quickly
• ✅ You prefer simpler code
• ✅ You don't need advanced features
• ✅ You want minimal dependencies

🚀 Migration Path

If you start with v1 and want to upgrade to v2:

1. No code changes needed in your agent - Both versions work with the same deployed agents

2. Switch the file you run:

   # From
   python gradio_app.py
   
   # To
   python gradio_app_v2.py
   

3. Benefits immediately available:

   • Session management
   • Better error messages
   • Enhanced UI
   • More stable agent listing

🔧 Technical Differences

Agent Listing

Version 1:

for agent in client.agent_engines.list():
    if agent.api_resource.display_name == display_name

Version 2:

request = aiplatform.ListAgentEnginesRequest(parent=parent)
for agent in client.list_agent_engines(request=request):
    agents.append({
        "name": agent.name,
        "display_name": agent.display_name
    })

Error Handling

Version 1:

except Exception as e:
    error_msg = f"Error communicating with agent: {str(e)}"

Version 2:

except Exception as e:
    error_msg = f"❌ Error: {str(e)}"
    # More context provided to user

📈 Feature Roadmap

Planned for Both Versions

• File upload support
• Multi-modal inputs (images, PDFs)
• Export chat history
• Custom themes

Already in V2 Only

• ✅ Session management
• ✅ Enhanced error messages
• ✅ UI examples accordion
• ✅ Avatar support

🎓 Learning Path

1. Start with V1 to understand basics
2. Review V2 to see best practices
3. Use V2 for actual deployment
4. Customize based on your needs

🏆 Winner: gradio_app_v2.py

For most use cases, Version 2 is the recommended choice due to:

• Better stability
• Official API usage
• Enhanced features
• Production-ready design

However, both versions are maintained and functional!

🤝 Support

Both versions support the same agent capabilities:

• 📋 List corpora
• 🔍 Query documents
• ➕ Create corpus
• 📄 Add data
• ℹ️ Get corpus info
• 🗑️ Delete document/corpus

Choose based on your needs and preferences! 🚀