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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.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=brave-brave-search-skills-skills-llm-context-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name llm-context description 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. 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/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 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-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 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. Syntax : Rules start with $ + comma-separated options. Actions (pick one): discard , boost[=N] , downrank[=N] — N is an integer 1–10. Site filter : site=DOMAIN . Example: $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 · Syntax · Quickstart Response Format Standard Response { "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" , "age" : [ "Wednesday, January 15, 2025" , "2025-01-15" , "392 days ago" , "2025-01-15T13:45:02Z" ] } } } Local Response (with enable_local ) { "grounding" : { "generic" : [ ... ] , "poi" : { "name" : "Business Name" , "url" : "https://business.com" , "title" : "Title of business.com website" , "snippets" : [ "Business details and information..." ] } , "map" : [ { "name" : "Place Name" , "url" : "https://place.com" , "title" : "Title of place.com website" , "snippets" : [ "Place information and details..." ] } ] } , "sources" : { "https://business.com" : { "title" : "Business Name" , "hostname" : "business.com" , "age" : [ ] } } } Response Fields Field Type Description grounding object Container for all grounding content by type
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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