llm-context

What this skill does

# LLM Context

> **Requires API Key**: Get one at https://api.search.brave.com
>
> **Plan**: Included in the **Search** plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Brave LLM Context API delivers pre-extracted, relevance-ranked web content optimized for grounding LLM responses in real-time search results. Unlike traditional web search APIs that return links and snippets, LLM Context extracts the actual page content—text chunks, tables, code blocks, and structured data—so your LLM or AI agent can reason over it directly.

## LLM Context vs AI Grounding

| Feature | LLM Context (this) | AI Grounding (`answers`) |
|--|--|--|
| Output | Raw extracted content for YOUR LLM | End-to-end AI answers with citations |
| Interface | REST API (GET/POST) | OpenAI-compatible `/chat/completions` |
| Searches | Single search per request | Multi-search (iterative research) |
| Speed | Fast (<1s) | Slower |
| Plan | Search | Answers |
| Endpoint | `/res/v1/llm/context` | `/res/v1/chat/completions` |
| Best for | AI agents, RAG pipelines, tool calls | Chat interfaces, research mode |

## Endpoint

```http
GET  https://api.search.brave.com/res/v1/llm/context
POST https://api.search.brave.com/res/v1/llm/context
```

**Authentication**: `X-Subscription-Token: <API_KEY>` header

**Optional Headers**:
- `Accept-Encoding: gzip` — Enable gzip compression

## Quick Start

### GET Request
```bash
curl -s "https://api.search.brave.com/res/v1/llm/context?q=tallest+mountains+in+the+world" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}"
```

### POST Request (JSON body)
```bash
curl -s --compressed -X POST "https://api.search.brave.com/res/v1/llm/context" \
  -H "Accept: application/json" \
  -H "Accept-Encoding: gzip" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{"q": "tallest mountains in the world"}'
```

### With Goggles (Inline)
```bash
curl -s "https://api.search.brave.com/res/v1/llm/context" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -G \
  --data-urlencode "q=rust programming" \
  --data-urlencode 'goggles=$discard
$site=docs.rs
$site=rust-lang.org'
```

## Parameters

### Query Parameters

| Parameter | Type | Required | Default | Description |
|--|--|--|--|--|
| `q` | string | **Yes** | - | Search query (1-400 chars, max 50 words) |
| `country` | string | No | `US` | Search country (2-letter country code or `ALL`) |
| `search_lang` | string | No | `en` | Language preference (2+ char language code) |
| `count` | int | No | `20` | Max search results to consider (1-50) |

### Context Size Parameters

| Parameter | Type | Required | Default | Description |
|--|--|--|--|--|
| `maximum_number_of_urls` | int | No | `20` | Max URLs in response (1-50) |
| `maximum_number_of_tokens` | int | No | `8192` | Approximate max tokens in context (1024-32768) |
| `maximum_number_of_snippets` | int | No | `50` | Max snippets across all URLs (1-100) |
| `maximum_number_of_tokens_per_url` | int | No | `4096` | Max tokens per individual URL (512-8192) |
| `maximum_number_of_snippets_per_url` | int | No | `50` | Max snippets per individual URL (1-100) |

### Filtering & Local Parameters

| Parameter | Type | Required | Default | Description |
|--|--|--|--|--|
| `context_threshold_mode` | string | No | `balanced` | Relevance threshold for including content (`strict`/`balanced`/`lenient`) |
| `enable_local` | bool | No | `null` | Local recall control (`true`/`false`/`null`, see below) |
| `goggles` | string/list | No | `null` | Goggle URL or inline definition for custom re-ranking |

## Context Size Guidelines

| Task Type | count | max_tokens | Example |
|--|--|--|--|
| Simple factual | 5 | 2048 | "What year was Python created?" |
| Standard queries | 20 | 8192 | "Best practices for React hooks" |
| Complex research | 50 | 16384 | "Compare AI frameworks for production" |

Larger context windows provide more information but increase latency and cost (of your inference). Start with defaults and adjust.

## Threshold Modes

| Mode | Behavior |
|--|--|
| `strict` | Higher threshold — fewer but more relevant results |
| `balanced` | Default — good balance between coverage and relevance |
| `lenient` | Lower threshold — more results, may include less relevant content |

## Local Recall

The `enable_local` parameter controls location-aware recall:

| Value | Behavior |
|--|--|
| `null` (not set) | **Auto-detect** — local recall enabled when any location header is provided |
| `true` | **Force local** — always use local recall, even without location headers |
| `false` | **Force standard** — always use standard web ranking, even with location headers |

For most use cases, omit `enable_local` and let the API auto-detect from location headers.

## Location Headers

| Header | Type | Description |
|--|--|--|
| `X-Loc-Lat` | float | Latitude (-90.0 to 90.0) |
| `X-Loc-Long` | float | Longitude (-180.0 to 180.0) |
| `X-Loc-City` | string | City name |
| `X-Loc-State` | string | State/region code (ISO 3166-2) |
| `X-Loc-State-Name` | string | State/region name |
| `X-Loc-Country` | string | 2-letter country code |
| `X-Loc-Postal-Code` | string | Postal code |

> **Priority**: `X-Loc-Lat` + `X-Loc-Long` take precedence. When provided, text-based headers (City, State, Country, Postal-Code) are not used for location resolution. Provide text-based headers **only** when you don't have coordinates.

### Example: With Coordinates
```bash
curl -s "https://api.search.brave.com/res/v1/llm/context" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -H "X-Loc-Lat: 37.7749" \
  -H "X-Loc-Long: -122.4194" \
  -G \
  --data-urlencode "q=best coffee shops near me"
```

### Example: With Place Name
```bash
curl -s "https://api.search.brave.com/res/v1/llm/context" \
  -H "Accept: application/json" \
  -H "X-Subscription-Token: ${BRAVE_SEARCH_API_KEY}" \
  -H "X-Loc-City: San Francisco" \
  -H "X-Loc-State: CA" \
  -H "X-Loc-Country: US" \
  -G \
  --data-urlencode "q=best coffee shops near me"
```

## Goggles (Custom Ranking) — Unique to Brave

Goggles let you **control which sources ground your LLM** — essential for RAG quality.

| Use Case | Goggle Rules |
|--|--|
| Official docs only | `$discard\n$site=docs.python.org` |
| Exclude user content | `$discard,site=reddit.com\n$discard,site=stackoverflow.com` |
| Academic sources | `$discard\n$site=arxiv.org\n$site=.edu` |
| No paywalls | `$discard,site=medium.com` |

| Method | Example |
|--|--|
| **Hosted** | `--data-urlencode "goggles=https://raw.githubusercontent.com/brave/goggles-quickstart/main/goggles/1k_short.goggle"` |
| **Inline** | `--data-urlencode 'goggles=$discard\n$site=example.com'` |

> **Hosted** goggles must be on GitHub/GitLab, include `! name:`, `! description:`, `! author:` headers, and be registered at https://search.brave.com/goggles/create. **Inline** rules need no registration.

**Syntax**: `$boost=N` / `$downrank=N` (1–10), `$discard`, `$site=example.com`. Combine with commas: `$site=example.com,boost=3`. Separate rules with `\n` (`%0A`).

**Allow list**: `$discard\n$site=docs.python.org\n$site=developer.mozilla.org` — **Block list**: `$discard,site=pinterest.com\n$discard,site=quora.com`

**Resources**: [Discover](https://search.brave.com/goggles/discover) · [Syntax](https://search.brave.com/help/goggles) · [Quickstart](https://github.com/brave/goggles-quickstart)

## Response Format

### Standard Response

```json
{
  "grounding": {
    "generic": [
      {
        "url": "https://example.com/page",
        "title": "Page Title",
        "snippets": [
          "Relevant text chunk extracted from the page...",
          "Another relevant passage from the same page..."
        ]
      }
    ],
    "map": []
  },
  "sources": {
    "https://example.com/page": {
      "title": "Page Title",
      "hostname": "example.com",
      "