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Parallel Search

AI-powered web search via Parallel API. Returns ranked results with LLM-optimized excerpts. Use for up-to-date research, fact-checking, and domain-scoped sea...
通过Parallel API实现的AI驱动网络搜索,返回排序结果及LLM优化摘要。用于最新研究、事实核查和领域限定的搜索。
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开发者工具 clawhub v1.0.3 2 版本 99784.2 Key: 需要
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概述

Parallel Search

High-accuracy web search built for AI agents. Returns ranked results with intelligent excerpts optimized for LLM consumption.

When to Use

Trigger this skill when the user asks for:

  • "search the web", "web search", "look up", "find online"
  • "current news about...", "latest updates on..."
  • "research [topic]", "what's happening with..."
  • Fact-checking with citations needed
  • Domain-specific searches (e.g., "search GitHub for...", "find on Reddit...")

Quick Start

parallel-cli search "your query" --json --max-results 5

CLI Reference

Basic Usage

parallel-cli search "<objective>" [options]

Common Flags

FlagDescription
-------------------
-q, --query ""Add keyword filter (repeatable, 3-8 recommended)
--max-results NNumber of results (1-20, default: 10)
--jsonOutput as JSON
--after-date YYYY-MM-DDFilter for recent content
--include-domains domain.comLimit to specific domains (repeatable, max 10)
--exclude-domains domain.comExclude domains (repeatable, max 10)
--excerpt-max-chars-total NLimit total excerpt size (default: 8000)

Examples

Basic search:

parallel-cli search "When was the United Nations founded?" --json --max-results 5

With keyword filters:

parallel-cli search "Latest developments in quantum computing" \
  -q "quantum" -q "computing" -q "2026" \
  --json --max-results 10

Domain-scoped search:

parallel-cli search "React hooks best practices" \
  --include-domains react.dev --include-domains github.com \
  --json --max-results 5

Recent news only:

parallel-cli search "AI regulation news" \
  --after-date 2026-01-01 \
  --json --max-results 10

Best-Practice Prompting

Objective

Write 1-3 sentences describing:

  • The real task context (why you need the info)
  • Freshness constraints ("prefer 2026+", "latest docs")
  • Preferred sources ("official docs", "news sites")

Keyword Queries

Add 3-8 keyword queries including:

  • Specific terms, version numbers, error strings
  • Common synonyms
  • Date terms if relevant ("2026", "Jan 2026")

Response Format

Returns structured JSON with:

  • search_id — unique identifier
  • results[] — array of results:
  • url — source URL
  • title — page title
  • excerpts[] — relevant text excerpts
  • publish_date — when available

Output Handling

When turning results into a user-facing answer:

  • Prefer official/primary sources when possible
  • Quote or paraphrase only the relevant extracted text
  • Include URL + publish_date for transparency
  • If results disagree, present both and note the discrepancy

Running Out of Context?

For long conversations, save results and use sessions_spawn:

parallel-cli search "<query>" --json -o /tmp/search-<topic>.json

Then spawn a sub-agent:

{
  "tool": "sessions_spawn",
  "task": "Read /tmp/search-<topic>.json and synthesize a summary with sources.",
  "label": "search-summary"
}

Error Handling

Exit CodeMeaning
--------------------
0Success
1Unexpected error (network, parse)
2Invalid arguments
3API error (non-2xx)

Prerequisites

Requires parallel-cli (installed and authenticated). If parallel-cli --version fails, or if a later command fails with an authentication error, tell the user to see https://docs.parallel.ai/integrations/cli and stop.

References

版本历史

共 2 个版本

  • v1.0.3 当前
    2026-05-08 12:10 安全 安全
  • v1.0.0
    2026-03-28 16:53 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
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