undefined

**`searchAll` response** — use these fields, ignore the rest:
- `best.source` — which endpoint won (`glossary`/`learnEarn`/`resource`/`articles`/`null`)
- `best.items[0]` — the top hit to format (already reordered by match quality)
- `best.matchTier` (0–3) — match-quality band:
  - `>= 2` → good match, format the card. Tier 2 is reliable: structured
    sources (glossary/learnEarn/resource) whose title is a true superset of
    the query (adds a concept noun, e.g. `smart contract` → "Smart
    Contract Wallet") are demoted to tier 1 in code, so a tier-2 hit is
    either a clean multi-token title match or an articles long-form match.
  - `<= 1` → weak match, retry with a clean English keyword (same `lang`)
  - `-1` (`best.source == null`) → no hits, use No-Content template
- `glossary` / `learnEarn` / `resource` arrays — used to generate the "Next Step" suggestion; do NOT make extra API calls for it
- `articlesLangFallback` — `true` only when the user explicitly passed a
  non-empty `lang` that the articles endpoint does not support (so
  articles fell back to English); translate the distilled article back
  to the user's language. `false` when `lang` was omitted/empty (no user
  language to translate to).

**Query strategy — language-dependent default.**

- **English (and other Latin-script languages)**: *raw input first*.
  Send the user's raw input as `query` (the script pre-processes: trim,
  strip control chars, truncate to 200 chars). Only extract clean
  keywords when raw input returns `matchTier <= 0` or `best.source ==
  null`. Don't lowercase or translate upfront. Full fallback heuristics
  in `references/query-extraction.md`.

- **Chinese and other CJK**: *extract keyword first*. CJK raw sentences
  almost never hit — a 20-question zh sample showed **0/20 reached tier
  ≥ 2**. `plainto_tsquery('simple', ...)` does no CJK word segmentation
  and ANDs every token (including question words like "什么是"), so a CJK
  sentence rarely matches a short Academy title. **Default to extracting
  the topic noun + translating to its canonical English term BEFORE the
  first `searchAll` call** — do NOT first try the raw sentence and then
  fall back (that wastes a full `searchAll` round-trip on a
  near-guaranteed `tier <= 1`, and "default strategy never effective for
  CJK" is exactly the problem this fixes). See `references/query-
  extraction.md` §4 for the translation table.
  - **Exception — bare CJK concept noun with no question words** (钱包,
    智能合约, 工作量证明, 区块链): send it raw. Single-token CJK concept
    nouns DO hit (tier 3) when the Academy has the translated glossary
    entry, and skipping raw for them would lose the cleanest match. If
    the raw noun returns `tier <= 1` or off-topic, fall back to the
    English translation.
  - **How to tell a sentence from a bare noun**: if the input contains
    question/intent words (什么是 / 如何 / 为什么 / 可以吗 / 行吗 / 是不是 /
    "is it safe" / "should I"), it's a sentence → extract keyword first.
    If it's a noun or noun phrase with no question words, it's a bare
    concept → try raw.

- For **risk-education** Chinese queries, skip straight to the
  Risk-Education Term Map in `references/query-extraction.md` — the raw
  sentence almost never hits and the correct fallback term is rarely the
  literal translation (e.g. 杠杆 → `强制平仓` (zh) or `margin trading`
  (en), NOT `leverage`).

**Intent 3 needs a clean topic noun upfront.** `getLearningPlan` with full
sentences like "I want to learn DeFi" rarely matches Module titles — extract
`DeFi` first. Intent 4 Pattern B (L&E title format) is the opposite — raw
input usually matches the L&E course title directly.

**[<term>](<pageUrl>)**

<2-4 sentence paraphrased definition>

🔗 [<suggestion from searchAll's other sources>](<nextStepUrl>)  ← optional, omit if empty

**⚠️ <risk pattern>**

<brief answer: what it is, how it works>

**Risk:** <quote from Academy content>

**Example:** <concrete numerical simulation, e.g., "20x leverage: a 5% adverse move can liquidate your position">

Safer next step: learn <topic> first → [<link text>](<pageUrl>)

> ⚠️ Educational content only, not investment advice. Crypto prices are volatile; you may lose your entire principal. Please understand the risks before deciding.

**<topic> · <Difficulty>**

<2-3 sentence overview>

**Day 1:** [Course title](courseUrl)
  - [Module title](moduleUrl)
  - [Module title](moduleUrl)
**Day 2:** [Course title](courseUrl)
  - [Module title](moduleUrl)

Full track: [View learning path](<track pageUrl>)

**Academy Learn & Earn — Currently claimable rewards**

- [<courseTitle>](<pageUrl>) · 🟢 Active
- [<courseTitle>](<pageUrl>) · 🟢 Active

[View all campaigns](https://www.binance.com/<lang>/academy/learn-and-earn)

**[<courseTitle>](<pageUrl>)**

<paraphrased courseDescription>

📅 <activityStartDate> ~ <activityEndDate> (UTC+8) · <🟢 Active / 🔴 Fully distributed / ⚪ Ended>

[View all campaigns](https://www.binance.com/<lang>/academy/learn-and-earn)

Academy doesn't have content for "<query>" yet.

**Suggestions:**
- Try a related term, e.g., "<related term>"
- Try the English equivalent (Academy's English corpus is the largest), e.g., "<English term>"
- Browse [Academy](https://www.binance.com/<lang>/academy) directly