📍 Local Places

Find places, Go fast

Search for nearby places using a local Google Places API proxy. Two-step flow: resolve location first, then search.

Setup

cd {baseDir}
echo "GOOGLE_PLACES_API_KEY=your-key" > .env
uv venv && uv pip install -e ".[dev]"
uv run --env-file .env uvicorn local_places.main:app --host 127.0.0.1 --port 8000

Requires

GOOGLE_PLACES_API_KEY

in

.env

or environment.

Quick Start

1. Check server:

   curl http://127.0.0.1:8000/ping

2. Resolve location:

curl -X POST http://127.0.0.1:8000/locations/resolve \
  -H "Content-Type: application/json" \
  -d '{"location_text": "Soho, London", "limit": 5}'

3. Search places:

curl -X POST http://127.0.0.1:8000/places/search \
  -H "Content-Type: application/json" \
  -d '{
    "query": "coffee shop",
    "location_bias": {"lat": 51.5137, "lng": -0.1366, "radius_m": 1000},
    "filters": {"open_now": true, "min_rating": 4.0},
    "limit": 10
  }'

4. Get details:

curl http://127.0.0.1:8000/places/{place_id}

Conversation Flow

1. If user says "near me" or gives vague location → resolve it first
2. If multiple results → show numbered list, ask user to pick
3. Ask for preferences: type, open now, rating, price level
4. Search with

   location_bias

   from chosen location
5. Present results with name, rating, address, open status
6. Offer to fetch details or refine search

Filter Constraints

• filters.types

  : exactly ONE type (e.g., "restaurant", "cafe", "gym")

• filters.price_levels

  : integers 0-4 (0=free, 4=very expensive)

• filters.min_rating

  : 0-5 in 0.5 increments

• filters.open_now

  : boolean

• limit

  : 1-20 for search, 1-10 for resolve

• location_bias.radius_m

  : must be > 0

Response Format

{
  "results": [
    {
      "place_id": "ChIJ...",
      "name": "Coffee Shop",
      "address": "123 Main St",
      "location": {"lat": 51.5, "lng": -0.1},
      "rating": 4.6,
      "price_level": 2,
      "types": ["cafe", "food"],
      "open_now": true
    }
  ],
  "next_page_token": "..."
}

Use

next_page_token

as

page_token

in next request for more results.