brave/brave-search-skills1 file

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.

Specification
Skill ID
brave/brave-search-skills/llm-context
Publisher
brave
Repository
brave-search-skills
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

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

FeatureLLM Context (this)AI Grounding (answers)
OutputRaw extracted content for YOUR LLMEnd-to-end AI answers with citations
InterfaceREST API (GET/POST)OpenAI-compatible /chat/completions
SearchesSingle search per requestMulti-search (iterative research)
SpeedFast (<1s)Slower
PlanSearchAnswers
Endpoint/res/v1/llm/context/res/v1/chat/completions
Best forAI agents, RAG pipelines, tool callsChat interfaces, research mode

Endpoint

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

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

ParameterTypeRequiredDefaultDescription
qstringYes-Search query (1-400 chars, max 50 words)
countrystringNoUSSearch country (2-letter country code or ALL)
search_langstringNoenLanguage preference (2+ char language code)
countintNo20Max search results to consider (1-50)
spellcheckboolNotrueWhether to spellcheck the query before searching
freshnessstringNo""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

ParameterTypeRequiredDefaultDescription
maximum_number_of_urlsintNo20Max URLs in response (1-50)
maximum_number_of_tokensintNo8192Approximate max tokens in context (1024-32768)
maximum_number_of_snippetsintNo50Max snippets across all URLs (1-256)
maximum_number_of_tokens_per_urlintNo4096Max tokens per individual URL (512-8192)
maximum_number_of_snippets_per_urlintNo50Max snippets per individual URL (1-100)

Filtering & Local Parameters

ParameterTypeRequiredDefaultDescription
context_threshold_modestringNonullRelevance threshold for including content (strict/balanced/lenient/disabled)
safesearchstringNonullAdult content filter (off/moderate/strict); not set means no filtering, except local recall which stays strict
enable_localboolNonullLocal recall control (true/false/null, see below)
gogglesstring/listNonullGoggle URL or inline definition for custom re-ranking
enable_source_metadataboolNofalseAdds site_name, favicon, thumbnail and description to each sources[url] entry

Context Size Guidelines

Task Typecountmax_tokensExample
Simple factual52048"What year was Python created?"
Standard queries208192"Best practices for React hooks"
Complex research5016384"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

ModeBehavior
null (not set)Default — resolves to lenient on the current API version
strictHigher threshold — fewer but more relevant results
balancedGood balance between coverage and relevance
lenientLower threshold — more results, may include less relevant content
disabledNo threshold filtering — return all extracted content

Local Recall

The enable_local parameter controls location-aware recall:

ValueBehavior
null (not set)Auto-detect — local recall enabled when any location header is provided
trueForce local — always use local recall, even without location headers
falseForce 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

HeaderTypeDescription
X-Loc-LatfloatLatitude (-90.0 to 90.0)
X-Loc-LongfloatLongitude (-180.0 to 180.0)
X-Loc-CitystringCity name
X-Loc-StatestringState/region code (ISO 3166-2)
X-Loc-State-NamestringState/region name
X-Loc-Countrystring2-letter country code
X-Loc-Postal-CodestringPostal 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

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 CaseGoggle 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
MethodExample
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.

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.

Use this skill