Perplexity AI 搜索工具：AI驱动网络搜索、深度研究与思维链推理

perplexity-search by parcadei/continuous-claude-v3

199 周安装量

3,600 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/parcadei/continuous-claude-v3 --skill perplexity-search

AI/机器学习命令行工具搜索

🇨🇳中文介绍

Perplexity AI 搜索

通过 AI 驱动的答案、深度研究和思维链推理进行网络搜索。

使用场景

直接进行网络搜索以获取排名结果（无 AI 合成）
带有引用的 AI 综合研究
针对复杂决策的思维链推理
对主题进行深度全面的研究

模型 (2025)

模型	用途
`sonar`	带有事实依据的轻量级搜索
`sonar-pro`	针对复杂查询的高级搜索
`sonar-reasoning-pro`	思维链推理
`sonar-deep-research`	专家级详尽研究

使用方法

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快速提问 (AI 回答)

uv run python scripts/mcp/perplexity_search.py \
    --ask "What is the latest version of Python?"

直接网络搜索 (排名结果，无 AI)

uv run python scripts/mcp/perplexity_search.py \
    --search "SQLite graph database patterns" \
    --max-results 5 \
    --recency week

uv run python scripts/mcp/perplexity_search.py \
    --research "compare FastAPI vs Django for microservices"

uv run python scripts/mcp/perplexity_search.py \
    --reason "should I use Neo4j or SQLite for small graph under 10k nodes?"

uv run python scripts/mcp/perplexity_search.py \
    --deep "state of AI agent observability 2025"

参数	描述
`--ask`	快速提问，获取 AI 答案 (sonar)
`--search`	直接网络搜索 - 获取排名结果，无 AI 合成
`--research`	AI 综合研究 (sonar-pro)
`--reason`	思维链推理 (sonar-reasoning-pro)
`--deep`	深度全面研究 (sonar-deep-research)

参数	描述
`--max-results N`	结果数量 (1-20，默认: 10)
`--recency`	时间过滤：`day`、`week`、`month`、`year`
`--domains`	限制在特定域名内

需求	使用	原因
快速事实	`--ask`	快速、轻量
查找来源	`--search`	原始结果，无 AI 开销
综合答案	`--research`	AI 整合多个来源
复杂决策	`--reason`	思维链分析
全面报告	`--deep`	详尽的多来源研究

# 查找关于某个主题的最新来源
uv run python scripts/mcp/perplexity_search.py \
    --search "OpenTelemetry AI agent tracing" \
    --recency month --max-results 5

# 获取 AI 综合报告
uv run python scripts/mcp/perplexity_search.py \
    --research "best practices for AI agent logging 2025"

# 做出决策
uv run python scripts/mcp/perplexity_search.py \
    --reason "microservices vs monolith for startup MVP"

# 深度研究
uv run python scripts/mcp/perplexity_search.py \
    --deep "comprehensive guide to building feedback loops for autonomous agents"

需要在环境变量或 ~/.claude/.env 文件中设置 PERPLEXITY_API_KEY。

🇺🇸English

Perplexity AI Search

Web search with AI-powered answers, deep research, and chain-of-thought reasoning.

When to Use

Direct web search for ranked results (no AI synthesis)
AI-synthesized research with citations
Chain-of-thought reasoning for complex decisions
Deep comprehensive research on topics

Models (2025)

Model	Purpose
`sonar`	Lightweight search with grounding
`sonar-pro`	Advanced search for complex queries
`sonar-reasoning-pro`	Chain of thought reasoning
`sonar-deep-research`	Expert-level exhaustive research

Usage

Quick question (AI answer)

uv run python scripts/mcp/perplexity_search.py \
    --ask "What is the latest version of Python?"

Direct web search (ranked results, no AI)

uv run python scripts/mcp/perplexity_search.py \
    --search "SQLite graph database patterns" \
    --max-results 5 \
    --recency week

AI-synthesized research

uv run python scripts/mcp/perplexity_search.py \
    --research "compare FastAPI vs Django for microservices"

Chain-of-thought reasoning

uv run python scripts/mcp/perplexity_search.py \
    --reason "should I use Neo4j or SQLite for small graph under 10k nodes?"

Deep comprehensive research

uv run python scripts/mcp/perplexity_search.py \
    --deep "state of AI agent observability 2025"

Parameters

Parameter	Description
`--ask`	Quick question with AI answer (sonar)
`--search`	Direct web search - ranked results without AI synthesis
`--research`	AI-synthesized research (sonar-pro)
`--reason`	Chain-of-thought reasoning (sonar-reasoning-pro)
`--deep`	Deep comprehensive research (sonar-deep-research)

Search-specific options

Parameter	Description
`--max-results N`	Number of results (1-20, default: 10)
`--recency`	Filter: `day`, `week`, `month`, `year`
`--domains`	Limit to specific domains

Mode Selection Guide

Need	Use	Why
Quick fact	`--ask`	Fast, lightweight
Find sources	`--search`	Raw results, no AI overhead
Synthesized answer	`--research`	AI combines multiple sources
Complex decision	`--reason`	Chain-of-thought analysis
Comprehensive report	`--deep`	Exhaustive multi-source research

Examples

# Find recent sources on a topic
uv run python scripts/mcp/perplexity_search.py \
    --search "OpenTelemetry AI agent tracing" \
    --recency month --max-results 5

# Get AI synthesis
uv run python scripts/mcp/perplexity_search.py \
    --research "best practices for AI agent logging 2025"

# Make a decision
uv run python scripts/mcp/perplexity_search.py \
    --reason "microservices vs monolith for startup MVP"

# Deep dive
uv run python scripts/mcp/perplexity_search.py \
    --deep "comprehensive guide to building feedback loops for autonomous agents"

API Key Required

Requires PERPLEXITY_API_KEY in environment or ~/.claude/.env.

Weekly Installs

199

Repository

parcadei/contin…laude-v3

GitHub Stars

3.6K

First Seen

Jan 22, 2026

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