AG2 Adaptive Research Team

A Streamlit app that blends agent teamwork with agent-enabled routing and fallback, built entirely on AG2.

What This Shows

• Agent teamwork: explicit roles and sequential handoffs
• Agent-enabled routing: a clear decision step with local-doc vs web fallback
• AG2-first implementation: no Microsoft AutoGen dependency; installs via ag2[openai]

Features

• Local document upload (PDF, TXT, MD)
• Routing decision based on document coverage
• Optional web fallback via SearxNG
• Verifier step to check evidence sufficiency
• Final synthesis with citations

How To Run

1. Install dependencies:

pip install -r requirements.txt

2. Run the app:

streamlit run app.py

3. Provide your OpenAI API key in the sidebar and ask a question.

How It Works

1. Triage Agent decides whether the question should be answered from local docs or the web.
2. Local/Web Research Agent collects evidence.
3. Verifier Agent checks evidence strength.
4. Synthesizer Agent produces the final answer with citations.

Optional Add-ons (AG2 0.11)

• AG-UI protocol integration for richer UI rendering
• OpenTelemetry tracing for debugging multi-agent workflows

These are optional and not required to run this example.

Notes

• Default model used is gpt-5-nano. You can change it in the sidebar before running a query.
• Web fallback uses the SearxNG public instance at https://searxng.site/search. This instance may be rate-limited.