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:

bash

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 ... 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 ... 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#

shell

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

perplexity_research#

shell

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

perplexity_reason#

shell

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

perplexity_search#

shell

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#

bash

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

text

npm install @aiagenta2z/onekey-gateway

Script Dependency#

Install the required Python package before running any scripts.

bash

pip install ai-agent-marketplace

Alternatively, install dependencies from the requirements file:

bash

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.