perplexity-onekey-gateway（困惑一键网关）

OneKey Gateway

Use One Access Key to connect to various commercial APIs. Please visit the OneKey Gateway Keys and read the docs OneKey MCP Router Doc and OneKey Gateway Doc.

perplexity Skill

Use the OneKey Gateway to access tools for this server via a unified access key.

Quick Start

Set your OneKey access key:

export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_API_KEY

If no key is provided, the scripts fall back to the demo key BETA_TEST_KEY_MARCH_2026. Common settings:

• unique_id: perplexity/perplexity
• api_id: one of the tools listed below

Tools

perplexity_ask

Answer a question using web-grounded AI (Sonar Pro model). Best for: quick factual questions, summaries, explanations, and general Q&A. Returns a text response with numbered citations. Fastest and cheapest option. Supports filtering by recency (hour/day/week/month/year), domain restrictions, and search context size. For in-depth multi-source research, use perplexity_research instead. For step-by-step reasoning and analysis, use perplexity_reason instead.

Parameters:

• messages (array of object, required): Array of conversation messages
• messages[].role (string, required): Role of the message sender Values: system, user, assistant
• messages[].content (string, required): The content of the message
• search_recency_filter (string, optional): Filter search results by recency. Use 'hour' for very recent news, 'day' for today's updates, 'week' for this week, etc. Values: hour, day, week, month, year
• search_domain_filter (array of string, optional): Restrict search results to specific domains (e.g., ['wikipedia.org', 'arxiv.org']). Use '-' prefix for exclusion (e.g., ['-reddit.com']).
• search_context_size (string, optional): Controls how much web context is retrieved. 'low' (default) is fastest, 'high' provides more comprehensive results. Values: low, medium, high

perplexity_research

Conduct deep, multi-source research on a topic (Sonar Deep Research model). Best for: literature reviews, comprehensive overviews, investigative queries needing many sources. Returns a detailed response with numbered citations. Significantly slower than other tools (30+ seconds). For quick factual questions, use perplexity_ask instead. For logical analysis and reasoning, use perplexity_reason instead.

Parameters:

• messages (array of object, required): Array of conversation messages
• messages[].role (string, required): Role of the message sender Values: system, user, assistant
• messages[].content (string, required): The content of the message
• strip_thinking (boolean, optional): If true, removes <think>...</think> tags and their content from the response to save context tokens. Default is false.
• reasoning_effort (string, optional): Controls depth of deep research reasoning. Higher values produce more thorough analysis. Values: minimal, low, medium, high

perplexity_reason

Analyze a question using step-by-step reasoning with web grounding (Sonar Reasoning Pro model). Best for: math, logic, comparisons, complex arguments, and tasks requiring chain-of-thought. Returns a reasoned response with numbered citations. Supports filtering by recency (hour/day/week/month/year), domain restrictions, and search context size. For quick factual questions, use perplexity_ask instead. For comprehensive multi-source research, use perplexity_research instead.

Parameters:

• messages (array of object, required): Array of conversation messages
• messages[].role (string, required): Role of the message sender Values: system, user, assistant
• messages[].content (string, required): The content of the message
• strip_thinking (boolean, optional): If true, removes <think>...</think> tags and their content from the response to save context tokens. Default is false.
• search_recency_filter (string, optional): Filter search results by recency. Use 'hour' for very recent news, 'day' for today's updates, 'week' for this week, etc. Values: hour, day, week, month, year
• search_domain_filter (array of string, optional): Restrict search results to specific domains (e.g., ['wikipedia.org', 'arxiv.org']). Use '-' prefix for exclusion (e.g., ['-reddit.com']).
• search_context_size (string, optional): Controls how much web context is retrieved. 'low' (default) is fastest, 'high' provides more comprehensive results. Values: low, medium, high

perplexity_search

Search the web and return a ranked list of results with titles, URLs, snippets, and dates. Best for: finding specific URLs, checking recent news, verifying facts, discovering sources. Returns formatted results (title, URL, snippet, date) — no AI synthesis. For AI-generated answers with citations, use perplexity_ask instead.

Parameters:

• query (string, required): Search query string
• max_results (number, optional): Maximum number of results to return (1-20, default: 10)
• max_tokens_per_page (number, optional): Maximum tokens to extract per webpage (default: 1024)
• country (string, optional): ISO 3166-1 alpha-2 country code for regional results (e.g., 'US', 'GB')

Usage

CLI

perplexity_ask

npx onekey agent perplexity/perplexity perplexity_ask '{"question": "Who won the 2024 World Series?"}'

perplexity_research

npx onekey agent perplexity/perplexity perplexity_research '{"query": "renewable energy policies US"}'

perplexity_reason

npx onekey agent perplexity/perplexity perplexity_reason '{"topic": "impact of quantum computing"}'

perplexity_search

npx onekey agent perplexity/perplexity perplexity_search '{"query": "best VR headsets 2026"}'

Scripts

Each tool has a dedicated script in this folder:

• skills/perplexity/scripts/perplexity_ask.py
• skills/perplexity/scripts/perplexity_research.py
• skills/perplexity/scripts/perplexity_reason.py
• skills/perplexity/scripts/perplexity_search.py

Example

python3 scripts/<tool_name>.py --data '{"key": "value"}'

Related DeepNLP OneKey Gateway Documents

AI Agent Marketplace Skills Marketplace AI Agent A2Z Deployment PH AI Agent A2Z Infra GitHub AI Agent Marketplace

Dependencies

CLI Dependency

Install onekey-gateway from npm

npm install @aiagenta2z/onekey-gateway

Script Dependency

Install the required Python package before running any scripts.

pip install ai-agent-marketplace

Alternatively, install dependencies from the requirements file:

pip install -r requirements.txt

If the package is already installed, skip installation.

Agent rule

Before executing command lines or running any script in the scripts/ directory, ensure the dependencies are installed. Use the onekey CLI as the preferred method to run the skills.