Removed the outdated structured-data tools and wired everything to web search instead.

README.md

@@ -27,7 +27,7 @@ Immigration research is fragmented across government sites, forums, and spreadsh
 1. **Describe yourself** — citizenship, education, work history, languages, budget, and goals in everyday language.
 2. **Get a shortlist** — the agent reasons over your profile and surfaces destination countries that fit.
 3. **Explore on a 3D globe** — shortlisted countries appear on an interactive MapLibre globe beside the chat.
-4. **Dig into the details** — visa pathways, required documents, realistic timelines, and live economic context from the World Bank.
+4. **Dig into the details** — visa pathways, required documents, realistic timelines, and economic context from official sources.
 
 No forms to decode. No keyword guessing. Just a research session that meets you where you are.
 
@@ -37,15 +37,12 @@ Borderless is a **Gradio agent** powered by **[Qwen/Qwen3.6-27B](https://hugging
 
 | Tool | What it fetches |
 |------|-----------------|
-| `get_visa_requirement` | Visa rules between your passport country and a destination |
-| `get_passport_stats` | Aggregate visa-free / visa-on-arrival access for a passport |
-| `get_economic_indicator` | World Bank time series (GDP, inflation, trade, and more) |
 | `search_immigration_info` | Web search for official immigration pages, policies, and pathways (Exa) |
 | `scrape_web_page` | Markdown content from a specific official government or embassy URL (Firecrawl) |
 | `crawl_web_site` | Multiple pages from an official immigration website section (Firecrawl) |
 | `update_globe` | Marks, highlights, and flies to countries on the MapLibre globe |
 
-Tool calls stream in the chat so you can follow the agent's reasoning. Globe updates are also tool-driven: when the agent recommends destinations or the user asks to mark countries, it sends ISO country codes to the map and the UI renders markers, highlights, and camera movements. After up to five tool rounds, it synthesizes a clear answer with pathways, documents, timelines, and economic snapshots.
+Tool calls stream in the chat so you can follow the agent's reasoning. Globe updates are also tool-driven: when the agent recommends destinations or the user asks to mark countries, it sends ISO country codes to the map and the UI renders markers, highlights, and camera movements. After up to five tool rounds, it synthesizes a clear answer with pathways, documents, timelines, and cited sources.
 
 Sign in with your Hugging Face account to run inference through the Inference API.
 
@@ -53,9 +50,7 @@ Sign in with your Hugging Face account to run inference through the Inference AP
 
 - **Agentic research** — multi-turn tool use, not a single-shot prompt
 - **Tool-driven 3D globe** — MapLibre GL globe projection with markers, highlights, fly-to camera moves, drag, rotate, and zoom
-- **Live visa data** — passport strength and country-pair requirements
-- **Economic context** — World Bank indicators to compare destinations
-- **Web search** — Exa discovers official immigration pages and policy sources
+- **Web search** — Exa discovers official immigration pages, visa rules, and policy sources
 - **Official page scraping** — Firecrawl extracts markdown from government immigration sites
 - **Country metadata** — REST Countries powers ISO-2 / ISO-3 lookup and map coordinates
 - **Transparent traces** — every tool call and result visible in the chat
@@ -74,9 +69,7 @@ Sign in with your Hugging Face account to run inference through the Inference AP
 - **[Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B)** — reasoning and tool planning via Hugging Face Inference API
 - **[huggingface_hub](https://huggingface.co/docs/huggingface_hub)** — `InferenceClient` with streaming and function calling
 - **[MapLibre GL JS](https://maplibre.org/)** — interactive 3D globe
-- **[World Bank Open Data API](http://api.worldbank.org/)** — economic indicators
 - **[REST Countries](https://restcountries.com/)** — country names, ISO codes, regions, capitals, flags, area, and map coordinates
-- **Passport Visa API** — visa requirements and passport mobility stats
 - **[Exa](https://exa.ai)** — neural web search for discovering immigration sources
 - **[Firecrawl](https://firecrawl.dev)** — scrape and crawl official web pages for immigration details
 
@@ -92,8 +85,6 @@ ui/
   globe_commands.py     # Globe marker/highlight/fly-to state updates
   country_coords.py     # Country lookup for globe coordinates
 apis/
-  world_bank.py         # World Bank indicator client
-  passport_visa.py      # Visa & passport stats client
   rest_countries.py     # REST Countries metadata client
   exa.py                # Exa web search client
   firecrawl.py          # Firecrawl scrape/crawl client
@@ -128,7 +119,7 @@ For web research tools, set API keys from [dashboard.exa.ai](https://dashboard.e
 | `EXA_API_KEY` | `search_immigration_info` |
 | `FIRECRAWL_API_KEY` | `scrape_web_page`, `crawl_web_site` |
 
-On Hugging Face Spaces, add both as **Space secrets** (Settings → Secrets). Without keys, structured visa and economic tools still work; web tools return a clear error. The agent uses Exa to discover URLs, then Firecrawl to fetch full official page content.
+On Hugging Face Spaces, add both as **Space secrets** (Settings → Secrets). Without keys, web tools return a clear error. The agent uses Exa to discover URLs, then Firecrawl to fetch full official page content.
 
 ## License
 

apis/__init__.py

@@ -1,14 +1,9 @@
 # apis/__init__.py
 from apis.exa import search_immigration
 from apis.firecrawl import crawl_site, scrape_page
-from apis.passport_visa import passport_stats, visa_requirement
-from apis.world_bank import get_indicator_series
 
 __all__ = [
     "crawl_site",
-    "get_indicator_series",
-    "passport_stats",
     "scrape_page",
     "search_immigration",
-    "visa_requirement",
 ]

apis/passport_visa.py

@@ -1,46 +0,0 @@
-# apis/passport_visa.py
-"""Passport Visa API client (community visa requirements service)."""
-
-from __future__ import annotations
-
-from typing import Any
-
-import requests
-
-BASE_URL = "https://rough-sun-2523.fly.dev"
-
-
-def visa_requirement(
-    passport_iso2: str,
-    destination_iso2: str,
-    *,
-    timeout: float = 10,
-) -> dict[str, Any]:
-    """
-    Get visa requirement between two countries.
-
-    Args:
-        passport_iso2: Issuing passport country (ISO-2, e.g. ``HK``).
-        destination_iso2: Destination country (ISO-2, e.g. ``GB``).
-    """
-    url = f"{BASE_URL}/visa/{passport_iso2}/{destination_iso2}"
-    resp = requests.get(url, timeout=timeout)
-    resp.raise_for_status()
-    return resp.json()
-
-
-def passport_stats(
-    passport_iso2: str,
-    *,
-    timeout: float = 10,
-) -> dict[str, Any]:
-    """
-    Get aggregate visa stats for a passport (VR, VOA, EV, VF, NA counts).
-
-    Args:
-        passport_iso2: Passport country (ISO-2, e.g. ``HK``).
-    """
-    url = f"{BASE_URL}/country/{passport_iso2}"
-    resp = requests.get(url, timeout=timeout)
-    resp.raise_for_status()
-    return resp.json()

apis/world_bank.py

@@ -1,49 +0,0 @@
-# apis/world_bank.py
-"""World Bank API client for economic indicators."""
-
-from __future__ import annotations
-
-from typing import Any
-
-import requests
-
-BASE_URL = "http://api.worldbank.org/v2"
-
-
-def get_indicator_series(
-    indicator: str,
-    country: str,
-    *,
-    per_page: int = 100,
-    mrv: int | None = None,
-    timeout: float = 30,
-) -> list[dict[str, Any]]:
-    """
-    Fetch a time series for a World Bank indicator and country.
-
-    Args:
-        indicator: World Bank indicator code (e.g. ``NY.GDP.MKTP.CD``).
-        country: ISO-3 country code (e.g. ``HKG``).
-        per_page: Max observations per request (increase for longer histories).
-        mrv: If set, return only the *m* most recent values.
-        timeout: Request timeout in seconds.
-
-    Returns:
-        List of observation dicts with ``date``, ``value``, ``country``, etc.
-    """
-    url = f"{BASE_URL}/country/{country}/indicator/{indicator}"
-    params: dict[str, str | int] = {"format": "json", "per_page": per_page}
-    if mrv is not None:
-        params["mrv"] = mrv
-
-    resp = requests.get(url, params=params, timeout=timeout)
-    resp.raise_for_status()
-    data = resp.json()
-
-    if not isinstance(data, list) or len(data) < 2:
-        return []
-
-    observations = data[1]
-    if observations is None:
-        return []
-    return observations

ui/chat.py

@@ -9,21 +9,18 @@ ADDITIONAL_INPUTS = [
     gr.Textbox(
         value=(
             "You are Borderless, an immigration research assistant with access to "
-            "World Bank economic data, passport/visa information, web search, page "
-            "scraping, and an interactive 3D globe. Use structured data tools first: "
-            "get_visa_requirement and get_passport_stats for country-pair visa rules, "
-            "get_economic_indicator for GDP, inflation, and trade data. For document "
-            "lists, fees, processing times, or pathway details not covered by "
-            "structured tools, use search_immigration_info to discover official "
-            "government and embassy pages, then scrape_web_page on the best official "
-            "URLs for full content. Prefer official .gov, immigration authority, and "
-            "embassy domains; use include_domains when you know the right government "
-            "site. Use crawl_web_site only when multiple pages from the same official "
-            "site are needed; prefer scrape_web_page when one page is enough. Cite "
-            "source URLs when answering from search or scraped content. When you "
-            "recommend or compare destination countries, call update_globe with action "
-            "show so the user can see them on the globe. When the user asks to mark, "
-            "map, show, highlight, or fly to countries, call update_globe immediately "
+            "web search, page scraping, and an interactive 3D globe. Use "
+            "search_immigration_info as your primary discovery tool for visa rules, "
+            "pathways, documents, fees, processing times, and economic context — "
+            "then scrape_web_page on the best official URLs for full content. Prefer "
+            "official .gov, immigration authority, and embassy domains; use "
+            "include_domains when you know the right government site. Use "
+            "crawl_web_site only when multiple pages from the same official site "
+            "are needed; prefer scrape_web_page when one page is enough. Cite source "
+            "URLs when answering from search or scraped content. When you recommend "
+            "or compare destination countries, call update_globe with action show so "
+            "the user can see them on the globe. When the user asks to mark, map, "
+            "show, highlight, or fly to countries, call update_globe immediately "
             "instead of describing the tool call."
         ),
         label="System message",

ui/inference/tool_schemas/__init__.py

@@ -3,9 +3,6 @@ from __future__ import annotations
 from typing import Any
 
 from .crawl_web_site import SCHEMA as crawl_web_site
-from .get_economic_indicator import SCHEMA as get_economic_indicator
-from .get_passport_stats import SCHEMA as get_passport_stats
-from .get_visa_requirement import SCHEMA as get_visa_requirement
 from .scrape_web_page import SCHEMA as scrape_web_page
 from .search_immigration_info import SCHEMA as search_immigration_info
 from .think import SCHEMA as think
@@ -13,9 +10,6 @@ from .update_globe import SCHEMA as update_globe
 
 TOOL_SCHEMAS: list[dict[str, Any]] = [
     think,
-    get_economic_indicator,
-    get_visa_requirement,
-    get_passport_stats,
     search_immigration_info,
     scrape_web_page,
     crawl_web_site,

ui/inference/tool_schemas/get_economic_indicator.py

@@ -1,30 +0,0 @@
-from __future__ import annotations
-
-from typing import Any
-
-SCHEMA: dict[str, Any] = {
-    "type": "function",
-    "function": {
-        "name": "get_economic_indicator",
-        "description": (
-            "Fetch World Bank economic indicator time series for a country. "
-            "Use ISO-3 country codes (e.g. IND for India, HKG, USA, CHN) and "
-            "World Bank indicator codes (e.g. NY.GDP.MKTP.CD for GDP in "
-            "current US dollars)."
-        ),
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "indicator": {
-                    "type": "string",
-                    "description": "World Bank indicator code, e.g. NY.GDP.MKTP.CD",
-                },
-                "country": {
-                    "type": "string",
-                    "description": "ISO-3 country code, e.g. IND, HKG, USA",
-                },
-            },
-            "required": ["indicator", "country"],
-        },
-    },
-}

ui/inference/tool_schemas/get_passport_stats.py

@@ -1,24 +0,0 @@
-from __future__ import annotations
-
-from typing import Any
-
-SCHEMA: dict[str, Any] = {
-    "type": "function",
-    "function": {
-        "name": "get_passport_stats",
-        "description": (
-            "Get aggregate visa access stats for a passport country. Use ISO-2 "
-            "country codes."
-        ),
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "passport_iso2": {
-                    "type": "string",
-                    "description": "Passport issuing country ISO-2 code, e.g. HK, US, IN",
-                },
-            },
-            "required": ["passport_iso2"],
-        },
-    },
-}

ui/inference/tool_schemas/get_visa_requirement.py

@@ -1,28 +0,0 @@
-from __future__ import annotations
-
-from typing import Any
-
-SCHEMA: dict[str, Any] = {
-    "type": "function",
-    "function": {
-        "name": "get_visa_requirement",
-        "description": (
-            "Get visa requirement details for a passport country traveling to "
-            "a destination country. Use ISO-2 country codes."
-        ),
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "passport_iso2": {
-                    "type": "string",
-                    "description": "Passport issuing country ISO-2 code, e.g. HK, US, IN",
-                },
-                "destination_iso2": {
-                    "type": "string",
-                    "description": "Destination country ISO-2 code, e.g. GB, JP, US",
-                },
-            },
-            "required": ["passport_iso2", "destination_iso2"],
-        },
-    },
-}

ui/inference/tools.py

@@ -9,8 +9,6 @@ from gradio import ChatMessage
 
 from apis.exa import search_immigration
 from apis.firecrawl import crawl_site, scrape_page
-from apis.passport_visa import passport_stats, visa_requirement
-from apis.world_bank import get_indicator_series
 from ui.globe_commands import apply_update_globe
 
 from .messages import assistant_message_dict
@@ -44,24 +42,6 @@ def _run_tool(
 ) -> tuple[Any, dict[str, Any] | None]:
     if name == "think":
         return {"ok": True}, globe_state
-    if name == "get_economic_indicator":
-        return (
-            get_indicator_series(
-                indicator=args["indicator"],
-                country=args["country"],
-            ),
-            globe_state,
-        )
-    if name == "get_visa_requirement":
-        return (
-            visa_requirement(
-                passport_iso2=args["passport_iso2"],
-                destination_iso2=args["destination_iso2"],
-            ),
-            globe_state,
-        )
-    if name == "get_passport_stats":
-        return passport_stats(passport_iso2=args["passport_iso2"]), globe_state
     if name == "search_immigration_info":
         return (
             search_immigration(