feat: Add Streamlit chat demo with multi-agent routing#415
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OlegHQ wants to merge 5 commits intoawslabs:mainfrom
Open
feat: Add Streamlit chat demo with multi-agent routing#415OlegHQ wants to merge 5 commits intoawslabs:mainfrom
OlegHQ wants to merge 5 commits intoawslabs:mainfrom
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Add a new Streamlit-based chat demo to the Python examples that showcases the core multi-agent routing functionality of Agent Squad. The demo includes: - Tech Agent for technology and programming questions - Health Agent for wellness and medical information - Weather Agent with Open-Meteo API integration for live weather data - Math Agent with a safe expression evaluator The chat interface demonstrates automatic agent selection via BedrockClassifier, persistent conversation history, and real-time streaming responses. Fixes awslabs#173
- Remove insecure eval() usage in calculate() function - Use AST parsing with explicit operator whitelist - Remove broken screenshot reference from README Security improvement to prevent code injection attacks.
Use latest Claude Haiku 4.5 (anthropic.claude-haiku-4-5-20251001-v1:0) instead of the older Claude 3 Haiku model for better performance.
Pass classifier to AgentSquad constructor instead of calling non-existent set_classifier() method. The classifier parameter must be provided at initialization time.
- Rename README.md to readme.md (match repo convention) - Fix Python version: 3.8 -> 3.11 (per setup.cfg) - Simplify to ~35 lines (match other example READMEs) - Apply human-writing style: terse, natural language
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Issue Link (REQUIRED)
Fixes #173
Summary
Changes
Added a Streamlit-based chat demo showcasing the Agent Squad's intelligent routing capabilities. The demo includes four specialized agents (Tech, Health, Weather, Math) with the BedrockClassifier automatically routing queries to the appropriate agent.
Files added:
examples/python/chat-demo/chat-demo.py- Main Streamlit applicationexamples/python/chat-demo/weather_tool.py- Weather API tool integrationexamples/python/chat-demo/README.md- Documentation with architecture and examplesFiles modified:
examples/python/imports.py- Added boto3 and streamlit importsexamples/python/main-app.py- Integrated chat demo as new pageexamples/python/pages/home.py- Added chat demo to navigationexamples/python/readme.md- Updated documentationUser experience
Before: No interactive chat demo available to showcase agent routing
After: Users can run a Streamlit chat interface demonstrating real-time agent classification and routing with persistent conversation history
Verification
Environment: Darwin 25.0.0 (arm64)
Runtime: Node 24.11.1, Python 3.13.9
Test Steps
All existing tests pass (97/97):
Checklist
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Is this a breaking change?
NoRFC issue number:
Checklist:
Acknowledgment
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