feat: add AI Fraud Investigation Agent#570
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Shubhamsaboo merged 10 commits intoShubhamsaboo:mainfrom Mar 17, 2026
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Autonomous fraud investigation agent that cross-references childcare provider licensing records against physical building data to detect anomalies. Uses public data: Illinois DCFS licensing, Cook County property records, Google Maps (Street View + Places), and IL Secretary of State business registration. Built on Surelock Homes (https://github.com/osobodev/Surelock-Homes).
- Fix NameError: replace _config dict write with st.session_state write - Fix streaming: use getattr(chunk, 'content', None) for safe chunk access - Fix streaming: use list+join instead of string concat in hot loop - Fix model IDs: use correct OpenRouter format (anthropic/claude-sonnet-4.6)
- Remove unused Any import - Fix stale date: _build_system_prompt() computes date per investigation - Fix Street View: store images in session state, return metadata-only to LLM - Display Street View images in Streamlit UI after investigation - Remove dead search_type param from check_business_registration
…ge investigations
- Remove invalid show_tool_calls Agent param - Replace hard ZIP limit of 10 with MAX_PROVIDER_CAP=100 safety cap - Switch ZIP input from free text to selectbox (10 Cook County neighborhoods) - Add new models: google/gemini-3.1-flash-lite-preview, openai/gpt-5.4 - Fix repo links: osobodev -> oso95 - Update README geographic scope with ZIP/neighborhood table - Default ZIP changed to 60623 (Little Village)
advanced_ai_agents/single_agent_apps/ai_fraud_investigation_agent/README.md
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Minor change and the PR will be good to merge.
Removed reference to Surelock Homes from the README.
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Requested change has been made. |
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One more thing to fix sorry.
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Please add specific versioning of these dependencies
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Summary
advanced_ai_agents/single_agent_apps/ai_fraud_investigation_agent/— a single-agent Streamlit appWhat it does
(sqft × 0.65) ÷ 35A 900 sq ft building cannot legally serve 50 children. This agent finds those mathematical impossibilities automatically.
Tech stack
Test plan
pip install -r requirements.txtstreamlit run fraud_investigation_agent.py60623) and click Investigate