When user says 'add my home' without property details, return a warm
structured prompt asking for address, purchase price, current value,
mortgage balance, and monthly rent instead of calling add_property
with empty/zero values.
Detection: message lacks a price pattern (\$[\d,]+, \d+k, \d{5,}).
If message already contains a price, proceed directly to add_property.
Made-with: Cursor
Row 2: Add my home to track equity / Show my total net worth / What are my equity options?
Row 3: Can my portfolio buy a house? / I have a job offer — is it worth it? / How long until I'm stable if I move?
Row 4: Am I ahead or behind financially? / Can I afford to have kids? / What if I buy a house every 2 years?
Removes Austin MLS and Tokyo cost-of-living chips from featured UI.
Market data stays in codebase as background capability.
Made-with: Cursor
Add _extract_strategy_params() helper to graph.py that parses
appreciation rate, buy interval, total years, home price, rent yield,
and annual income from natural language messages.
Update life_decision branch to detect strategy queries and route them
to simulate_real_estate_strategy() with extracted params instead of
calling the general life_decision_advisor. Supports conservative /
moderate / optimistic presets. Falls back to life_decision_advisor
for non-strategy queries.
Made-with: Cursor
Create realestate_strategy.py with simulate_real_estate_strategy().
All rate parameters (appreciation, rent_yield, mortgage_rate,
market_return) default to None — sensible fallbacks applied inside
the function body, clearly labeled as starting points not predictions.
Adds disclaimer, how_to_adjust, and user_provided flag in assumptions.
Adds test_realestate_strategy.py with 7 passing tests.
Made-with: Cursor
- Expand classify_node keyword lists for relocation_runway, wealth_gap,
equity_unlock, and family_planner to cover more natural phrasings
- Add realestate_strategy_kws block that routes multi-property strategy
queries ("buy a house every N years", "rental portfolio strategy") to
the life_decision executor (home_purchase decision type)
- Expand real_estate_kws with MLS/market-data terms and add "show me"
to _location_intent_kws so city + intent triggers correctly
- Update _route_after_classify with explicit routing map comment showing
all 9 non-write categories → "tools" (only existing node names used)
- Add tool categories block to SYSTEM_PROMPT so LLM knows to use
non-portfolio tool results instead of defaulting to portfolio framing
Made-with: Cursor
property_tracker.py:
- Full SQLite backing at agent/data/properties.db (PROPERTIES_DB_PATH for tests)
- :memory: support: module-level _MEMORY_CONN so data persists across calls in tests
- add_property(), get_properties(), list_properties() (alias), update_property(),
remove_property() (soft-delete), get_real_estate_equity(), get_total_net_worth()
- _row_to_dict() computes equity/appreciation and backward-compat added_at alias
- property_store_clear() does DELETE FROM (test reset)
test_wealth_bridge.py (8 new tests, total now 89):
- test_down_payment_austin_portfolio_94k: $94k covers Caldwell/Hays counties
- test_down_payment_small_portfolio: $20k cannot afford safe 20% down anywhere
- test_job_offer_seattle_not_real_raise: $180k Seattle < $120k Austin purchasing power
- test_job_offer_sf_genuine_raise: $250k SF > $80k Austin purchasing power
- test_job_offer_global_city_london: required fields present for any global city
- test_property_crud_full_cycle: CREATE→READ→UPDATE→DELETE all verified
- test_net_worth_combines_portfolio_and_property: equity + portfolio = correct total
- test_teleport_fallback_works_when_api_unavailable: always returns usable data
Made-with: Cursor
property_tracker.py:
- Full SQLite backing at agent/data/properties.db (PROPERTIES_DB_PATH for tests)
- :memory: support: module-level _MEMORY_CONN so data persists across calls in tests
- add_property(), get_properties(), list_properties() (alias), update_property(),
remove_property() (soft-delete), get_real_estate_equity(), get_total_net_worth()
- _row_to_dict() computes equity/appreciation and backward-compat added_at alias
- property_store_clear() does DELETE FROM (test reset)
test_wealth_bridge.py (8 new tests, total now 89):
- test_down_payment_austin_portfolio_94k: $94k covers Caldwell/Hays counties
- test_down_payment_small_portfolio: $20k cannot afford safe 20% down anywhere
- test_job_offer_seattle_not_real_raise: $180k Seattle < $120k Austin purchasing power
- test_job_offer_sf_genuine_raise: $250k SF > $80k Austin purchasing power
- test_job_offer_global_city_london: required fields present for any global city
- test_property_crud_full_cycle: CREATE→READ→UPDATE→DELETE all verified
- test_net_worth_combines_portfolio_and_property: equity + portfolio = correct total
- test_teleport_fallback_works_when_api_unavailable: always returns usable data
Made-with: Cursor
- Add Row 3 wealth bridge chips inside enableRealEstate guard (same as Row 2)
- Three new chips with amber/gold theme (distinct from green RE chips):
* 💰 "Can my portfolio buy a house?" → triggers wealth_down_payment
* ✈️ "Is my job offer a real raise?" → pre-fills Seattle/Austin $180k/$120k example
* 🌍 "Cost of living in Tokyo" → triggers Teleport API global city lookup
- New ai-suggestion-chip--wealth CSS modifier with amber tint (light + dark theme)
- New ai-suggestions__row--wealth spacing rule
- Row 3 only visible when enableRealEstate=true (same feature flag as Row 2)
Made-with: Cursor
- New agent/tools/wealth_bridge.py with 3 registered agent tools:
* calculate_down_payment_power(): maps portfolio value to 7 Austin markets
(or any cities) with can_afford_full/conservative/safe + monthly payment estimates
* calculate_job_offer_affordability(): COL-adjusted salary comparison for any
two cities worldwide using ACTRIS COL index (Austin) + Teleport API (global)
* get_portfolio_real_estate_summary(): reads live Ghostfolio portfolio + runs
down payment analysis in one call
- graph.py: add wealth_bridge imports + 4 new query_type routes:
wealth_down_payment, wealth_job_offer, wealth_global_city, wealth_portfolio_summary
- graph.py: add _extract_salary, _extract_offer_city, _extract_current_city helpers
- Mortgage formula: 30yr @ 6.95%, 20% down, ×1.25 for PITI
Made-with: Cursor
- New agent/tools/wealth_bridge.py with 3 registered agent tools:
* calculate_down_payment_power(): maps portfolio value to 7 Austin markets
(or any cities) with can_afford_full/conservative/safe + monthly payment estimates
* calculate_job_offer_affordability(): COL-adjusted salary comparison for any
two cities worldwide using ACTRIS COL index (Austin) + Teleport API (global)
* get_portfolio_real_estate_summary(): reads live Ghostfolio portfolio + runs
down payment analysis in one call
- graph.py: add wealth_bridge imports + 4 new query_type routes:
wealth_down_payment, wealth_job_offer, wealth_global_city, wealth_portfolio_summary
- graph.py: add _extract_salary, _extract_offer_city, _extract_current_city helpers
- Mortgage formula: 30yr @ 6.95%, 20% down, ×1.25 for PITI
Made-with: Cursor
- New agent/tools/teleport_api.py with search_city_slug() and get_city_housing_data()
- Live calls to api.teleport.org /scores/ and /details/ endpoints (no auth required)
- In-memory slug cache with 60+ pre-seeded city→slug mappings
- Normalizes Teleport data to unified schema (ListPrice, MedianRentMonthly,
AffordabilityScore, col_index, teleport_scores) compatible with ACTRIS structure
- HARDCODED_FALLBACK for 23 major cities when API is unreachable — never crashes
- Austin TX area detection routes callers back to real_estate.py (ACTRIS data)
- col_index derived from Teleport COL score for wealth_bridge calculations
Made-with: Cursor
- New agent/tools/teleport_api.py with search_city_slug() and get_city_housing_data()
- Live calls to api.teleport.org /scores/ and /details/ endpoints (no auth required)
- In-memory slug cache with 60+ pre-seeded city→slug mappings
- Normalizes Teleport data to unified schema (ListPrice, MedianRentMonthly,
AffordabilityScore, col_index, teleport_scores) compatible with ACTRIS structure
- HARDCODED_FALLBACK for 23 major cities when API is unreachable — never crashes
- Austin TX area detection routes callers back to real_estate.py (ACTRIS data)
- col_index derived from Teleport COL score for wealth_bridge calculations
Made-with: Cursor
- Use real data_source label from _MOCK_SNAPSHOTS (ACTRIS/Unlock MLS) in response envelope
- Append 📊 ACTRIS/Unlock MLS footer to all Texas market_summary responses
- Expose months_of_inventory, pending_sales_yoy, close_to_list_ratio, median_rent_monthly
- Fix compare_neighborhoods data_source attribution for mixed TX/non-TX comparisons
- All 7 counties already had real Jan 2026 MLS figures; this surfaces them properly
Made-with: Cursor
- Use real data_source label from _MOCK_SNAPSHOTS (ACTRIS/Unlock MLS) in response envelope
- Append 📊 ACTRIS/Unlock MLS footer to all Texas market_summary responses
- Expose months_of_inventory, pending_sales_yoy, close_to_list_ratio, median_rent_monthly
- Fix compare_neighborhoods data_source attribution for mixed TX/non-TX comparisons
- All 7 counties already had real Jan 2026 MLS figures; this surfaces them properly
Made-with: Cursor
- ngOnInit restores conversation from sessionStorage on mount
- saveHistory() persists every message exchange automatically
- clearHistory() resets to welcome message and wipes stored history
- Clear button added to panel header (small, subtle, matches dark theme)
- welcomeMessage getter adapts copy based on enableRealEstate flag
Made-with: Cursor
- ngOnInit restores conversation from sessionStorage on mount
- saveHistory() persists every message exchange automatically
- clearHistory() resets to welcome message and wipes stored history
- Clear button added to panel header (small, subtle, matches dark theme)
- welcomeMessage getter adapts copy based on enableRealEstate flag
Made-with: Cursor
- test_search_listings_bedroom_filter: min_beds=3 returns only 3+ bed
listings and records the filter in result.filters_applied.
- test_search_listings_price_filter: max_price=400000 excludes listings
above threshold and records filter in result.filters_applied.
- test_structured_error_code: all error paths return nested
{code, message} dict with a REAL_ESTATE_* code.
- Updated test_feature_flag_disabled: assert nested error dict with
REAL_ESTATE_FEATURE_DISABLED code.
- Updated test_unknown_location_graceful_error: assert nested error
dict with REAL_ESTATE_PROVIDER_UNAVAILABLE code.
All 8 tests pass in < 1s.
Made-with: Cursor
- test_search_listings_bedroom_filter: min_beds=3 returns only 3+ bed
listings and records the filter in result.filters_applied.
- test_search_listings_price_filter: max_price=400000 excludes listings
above threshold and records filter in result.filters_applied.
- test_structured_error_code: all error paths return nested
{code, message} dict with a REAL_ESTATE_* code.
- Updated test_feature_flag_disabled: assert nested error dict with
REAL_ESTATE_FEATURE_DISABLED code.
- Updated test_unknown_location_graceful_error: assert nested error
dict with REAL_ESTATE_PROVIDER_UNAVAILABLE code.
All 8 tests pass in < 1s.
Made-with: Cursor
- main.py: add GET /real-estate/log endpoint (feature-flag gated).
Returns total_invocations, success_count, failure_count, and
last 50 log entries from real_estate._invocation_log.
Returns 404 when ENABLE_REAL_ESTATE is not true.
Made-with: Cursor
- main.py: add GET /real-estate/log endpoint (feature-flag gated).
Returns total_invocations, success_count, failure_count, and
last 50 log entries from real_estate._invocation_log.
Returns 404 when ENABLE_REAL_ESTATE is not true.
Made-with: Cursor
- search_listings(): add min_beds and max_price optional filter params
with per-field filtering before max_results cap.
filters_applied dict included in result for transparency.
Cache key incorporates filter values.
- All error returns now use nested {code, message} format:
REAL_ESTATE_FEATURE_DISABLED, REAL_ESTATE_PROVIDER_UNAVAILABLE.
- Add _invocation_log + _log_invocation() module-level observability:
records timestamp, function, query (80-char truncated), duration_ms,
success. Bounded to 500 entries. Exposed via get_invocation_log().
- _log_invocation() called in all 4 public functions (both success
and failure paths, including cache hits).
Made-with: Cursor
- search_listings(): add min_beds and max_price optional filter params
with per-field filtering before max_results cap.
filters_applied dict included in result for transparency.
Cache key incorporates filter values.
- All error returns now use nested {code, message} format:
REAL_ESTATE_FEATURE_DISABLED, REAL_ESTATE_PROVIDER_UNAVAILABLE.
- Add _invocation_log + _log_invocation() module-level observability:
records timestamp, function, query (80-char truncated), duration_ms,
success. Bounded to 500 entries. Exposed via get_invocation_log().
- _log_invocation() called in all 4 public functions (both success
and failure paths, including cache hits).
Made-with: Cursor
Priyanka Punukollu