Live Search

Real-time answers from the public web via the host app’s local search gateway (Auth Gateway proxy). Typical stacks surface results comparable to major engines (e.g. Google or Bing, depending on host/region)—this skill only calls the local HTTP endpoint, not third-party search APIs directly. Use when the user needs fresh results, fact checks, prices, weather, news, scores, rates, or anything after the model’s knowledge cutoff. Triggers: “search”, “look up”, “find out”, “latest”, “today”, “current price”, “verify”, or any question needing live data.

Fetch live web results through the host search gateway at http://localhost:$PORT (session-authenticated). The gateway returns JSON with a pre-rendered message (titles as links, snippets, sources)—the same kind of web index results users expect from Google-style or Bing-style search, depending on how the host is configured.

Endpoint path: requests use POST /proxy/prosearch/search. The prosearch segment is a fixed gateway route name in the app; it is not a public product brand to repeat to end users—describe outcomes as “web search results” or “live search.”

Setup

No extra Python packages. Search goes through the local gateway at http://localhost:$PORT; authentication is handled by the host app (login session)—no manual API keys in typical setups.

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Workflow

The assistant uses this skill whenever the user needs real-time information from the web.

End-to-end flow

text

User asks for something that needs live web data
  → Step 1: Build a tight search keyword (concise, specific)
  → Step 1.5: Decide time freshness — add from_time when recency matters
  → Step 2: Call the search API with curl
  → Step 3: Echo the JSON `message` field VERBATIM (result list with clickable links) — do NOT skip this
  → Step 4: Optionally add analysis/summary after the verbatim block

CRITICAL — Anti-hallucination: The API returns a pre-rendered message with formatted hits (titles as Markdown links, snippets, URLs). The assistant MUST show message verbatim as the primary results. It may add interpretation after that block. It must not invent, rewrite, or drop URLs/titles from message.

Step 1: Build the keyword

Turn the user’s question into a short query:

User intent	Example keyword
Latest AI news	latest AI news March 2026 or 最新 AI 新闻 (match user language)
Gold price now	gold spot price today
React 19 features	React 19 new features
Local weather	London weather today

Keyword tips:

• Keep it short (about 2–6 tokens).
• Strip filler (“please”, “can you”, “帮我”).
• Add time hints when needed (today, 2026, latest).
• Keep the keyword in the language that matches the user’s intent — do not blindly translate. If the user asks in English, search in English; if they ask in Chinese, Japanese, etc., use that language for the query when it improves results.

Step 1.5: Time freshness (important for “latest” questions)

When the question implies recency, add from_time (Unix seconds) so stale pages are filtered out.

User signal	from_time	Typical use
“today”, “just now”, “past 24h”	now − 86400	Intraday facts
“recent”, “latest”, “this week”	now − 604800	News, releases
“this month”	now − 2592000	Monthly topics
“this year”, “2026”	Jan 1 of that year (local)	Year-scoped events
No time signal	omit from_time	Evergreen facts (“What is React?”)

Compute from_time in bash:

bash

# Last 24 hours
FROM_TIME=$(python3 -c "import time; print(int(time.time()) - 86400)")

# Last 7 days
FROM_TIME=$(python3 -c "import time; print(int(time.time()) - 604800)")

# Last 30 days
FROM_TIME=$(python3 -c "import time; print(int(time.time()) - 2592000)")

Mutual exclusion: When using from_time / to_time, do not send cnt — the server enforces exclusion rules. Same for site + time filters; follow the API’s rules.

Step 2: Request

bash

PORT=${AUTH_GATEWAY_PORT:-19000}
PPID_VAL=$(python3 -c "import os; print(os.getppid())")
echo "[Assistant] Parent PID: $PPID_VAL"

curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"your search query"}'

Freshness (recommended for time-sensitive queries):

bash

# Last 7 days (“latest”, “recent”)
FROM_TIME=$(python3 -c "import time; print(int(time.time()) - 604800)")
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d "{\"keyword\":\"your search query\",\"from_time\":$FROM_TIME}"

# Last 24 hours (“today”, “just now”)
FROM_TIME=$(python3 -c "import time; print(int(time.time()) - 86400)")
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d "{\"keyword\":\"your search query\",\"from_time\":$FROM_TIME}"

Optional parameters:

bash

# Result count 10/20/30/40/50 — do not combine with from_time/to_time/site
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"your search query","cnt":20}'

# Time range (do not pass cnt)
FROM_TIME=$(python3 -c "import time; print(int(time.time()) - 604800)")
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d "{\"keyword\":\"your search query\",\"from_time\":$FROM_TIME}"

# Site-restricted search (do not pass cnt)
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"your search query","site":"github.com"}'

# Vertical: gov / news / acad
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"your search query","industry":"news"}'

Step 3: Present results — verbatim message first, then analysis

After JSON returns:

Part A — Result list [MANDATORY]

Output the message field exactly as returned. It usually contains up to five top hits, each formatted like:

text

**n. [Title](url)** — Site (date) ⭐
   Snippet...

CRITICAL: Never skip the list and jump to a summary. Titles are already Markdown links; users must be able to click through.

Part B — Analysis [OPTIONAL, after Part A]

Language for your added commentary: align with the user’s conversation language and the query language when helpful:

• English query → English analysis (typical for EN users).
• Non-English query → match the user’s language for the follow-up.
• The message block is always copied verbatim, regardless of language.

Good pattern

text

API returns a long `message` string with numbered results and snippets.

Assistant output:

<paste entire message verbatim>

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Brief synthesis: … (optional, grounded in what appeared above)

Forbidden

• Skipping the result list and answering from memory.
• Rebuilding the list from data.docs instead of using message.
• Editing URLs or titles inside message.
• Claiming sources that are not in message.
• Stripping Markdown links from titles.

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PORT

Use AUTH_GATEWAY_PORT from the environment (set by the Electron host when the Auth Gateway starts). Child processes inherit it.

macOS / Linux (bash):

bash

PORT=${AUTH_GATEWAY_PORT:-19000}
echo "[Assistant] AUTH_GATEWAY_PORT: $PORT"

Windows (PowerShell):

powershell

$PORT = if ($env:AUTH_GATEWAY_PORT) { $env:AUTH_GATEWAY_PORT } else { "19000" }
Write-Host "[Assistant] AUTH_GATEWAY_PORT: $PORT"

Windows (CMD):

cmd

if not defined AUTH_GATEWAY_PORT set AUTH_GATEWAY_PORT=19000
set PORT=%AUTH_GATEWAY_PORT%
echo [Assistant] AUTH_GATEWAY_PORT: %PORT%

Default if unset: 19000.

Parent PID (logging)

Before curl, you may log the parent PID for tracing.

macOS / Linux:

bash

PPID_VAL=$(python3 -c "import os; print(os.getppid())")
echo "[Assistant] Parent PID: $PPID_VAL"

Windows (PowerShell):

powershell

$PPID_VAL = python -c "import os; print(os.getppid())"
Write-Host "[Assistant] Parent PID: $PPID_VAL"

---

Command: search

text

POST /proxy/prosearch/search
Content-Type: application/json

{
  "keyword": "<search-query>",       // required, UTF-8
  "mode": 0,                         // optional: 0=web 1=VR card 2=hybrid
  "cnt": 10,                         // optional: 10/20/30/40/50
  "site": "<domain>",              // optional: site-restricted
  "from_time": 1710000000,           // optional: start (epoch seconds)
  "to_time": 1711000000,             // optional: end (epoch seconds)
  "industry": "news"                 // optional: gov | news | acad
}

Fields:

• keyword (required): query string.
• mode: 0 default web results; 1 VR “card” style facts (e.g. weather, spot prices); 2 hybrid.
• cnt: max hits; mutually exclusive with site and from_time/to_time per backend rules.
• site: restrict to a domain.
• from_time / to_time: time window in epoch seconds.
• industry: gov (government), news, acad (academic-oriented).

Do not combine cnt with time filters or site when the API forbids it.

Examples:

bash

PORT=${AUTH_GATEWAY_PORT:-19000}
echo "[Assistant] AUTH_GATEWAY_PORT: $PORT"
PPID_VAL=$(python3 -c "import os; print(os.getppid())")
echo "[Assistant] Parent PID: $PPID_VAL"

# Basic
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"latest AI news"}'

# More results (no time/site)
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"React 19 features","cnt":20}'

# News vertical
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"Federal Reserve statement March 2026","industry":"news"}'

# GitHub-only
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"electron vite template","site":"github.com"}'

# Hybrid mode for structured + web (e.g. commodity spot, weather) — adjust keyword to your locale
curl -s -X POST http://localhost:$PORT/proxy/prosearch/search \
  -H 'Content-Type: application/json' \
  -d '{"keyword":"gold spot price today","mode":2}'

Success JSON (shape):

json

{
  "success": true,
  "message": "Search results for \"latest AI news\"…\n\n**1. [Title](https://…)** — Source (2026-03-15) ⭐\n   Snippet…",
  "data": {
    "query": "latest AI news",
    "totalResults": 10,
    "docs": [
      {
        "passage": "…",
        "score": 0.85,
        "date": "2026-03-15",
        "title": "…",
        "url": "https://…",
        "site": "…",
        "images": []
      }
    ],
    "requestId": "…"
  }
}

message is the source of truth for what to show users — copy it in full before adding commentary.

Failure JSON (examples; actual strings may be localized by the host):

json

{
  "success": false,
  "message": "Not signed in. Web search requires an active session. Please sign in and try again."
}

json

{
  "success": false,
  "message": "Search timed out (15s). Please try again."
}

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Error handling

Responses are JSON on stdout. Errors use {"success": false, "message": "..."}.

Situation	What to do
Not authenticated (message indicates login required)	Tell the user to sign in, then retry.
Timeout	Retry once; if it fails again, relay the error.
Empty docs but success: true	Still output message; it usually explains there were no hits.
Network / connection	Retry once after ~3s; else show message.
HTTP errors	Surface message from the API when present.

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Prohibited behavior

• Rebuilding the hit list from data.docs instead of echoing message.
• Skipping results and answering from the model alone.
• Altering URLs/titles inside message.
• Inventing hits or URLs not present in message.
• Leaking internal gateway URLs or secrets to the user.
• Searching when the question is fully answerable without live data.
• Running more than two searches for the same user turn without a strong reason.

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Important notes

• If you already know the answer with high confidence and no freshness need, do not search.
• Prefer short, precise keywords over pasting the whole user message.
• For time-sensitive asks (“latest”, “today”, “this week”), use from_time as in Step 1.5.
• If the first query is weak, one rephrase is enough; avoid search spam.
• Treat links as untrusted; remind users to verify critical facts at the source.
• For weather, spot metals, FX, etc., consider mode: 2 when supported.
• cnt vs time/site: respect mutual exclusion — see above.
• Commentary language: follow the user’s language; message stays verbatim.