LLM Context
USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust max_tokens/count based on complexity. Supports Goggles, local/POI. For AI answers use answers. Recommended for anyone building AI/agentic applications.
- Skill ID
- brave/brave-search-skills/llm-context
- Publisher
- brave
- Repository
- brave-search-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
brave/brave-search-skills/llm-contextInstalls these files- SKILL.md
What this skill tells the agent
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
GET https://api.search.brave.com/res/v1/llm/context
POST https://api.search.brave.com/res/v1/llm/contextAuthentication: X-Subscription-Token: <API_KEY> header
Optional Headers:
Accept-Encoding: gzip— Enable gzip compression
Quick Start
GET Request
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)
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)
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) |
spellcheck | bool | No | true | Whether to spellcheck the query before searching |
freshness | string | No | "" | Filters search results by page age. The age of a page is determined by the most relevant date reported by the content, such as its published or last modified date. Supported values: pd (24h or less), pw (7 days or less), pm (31 days or less), py (365 days or less), or a custom date range YYYY-MM-DDtoYYYY-MM-DD (e.g. 2022-04-01to2022-07-30). |
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 (1-256) |
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 | null | Relevance threshold for including content (strict/balanced/lenient/disabled) |
safesearch | string | No | null | Adult content filter (off/moderate/strict); not set means no filtering, except local recall which stays strict |
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 |
enable_source_metadata | bool | No | false | Adds site_name, favicon, thumbnail and description to each sources[url] entry |
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 |
|---|---|
null (not set) | Default — resolves to lenient on the current API version |
strict | Higher threshold — fewer but more relevant results |
balanced | Good balance between coverage and relevance |
lenient | Lower threshold — more results, may include less relevant content |
disabled | No threshold filtering — return all extracted 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-Longtake 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
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
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=scholar.google.com |
| 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.
More from brave
Use this skill in a project
Open any RiverX project, search the Skills panel for brave/brave-search-skills/llm-context, and install it in one click.
