Openperplex API Parameters Guide
This guide will help you understand and utilize the various parameters available in the Openperplex API to customize your search queries and responses.Parameters for search and search_stream methods
The search query or question you want to ask. This is the primary input for your search.
Be as specific as possible in your query.
Optional date for context.Format example:
Today is Monday 16 of September 2024 and the time is 6:36 PM.If not provided, the API uses the current date of the server.Country code for search context. This helps in providing localized results.
See the supported locations below.
choose your model :
o3-mini-high, o3-mini-medium, gpt-4o, gpt-4o-mini,gemini-2.0-flash.Language code for the response. “auto” will auto-detect based on the query. see the supported languages below.
Format of the answer. Options: “text”, “markdown”, or “html”.
Type of the search :
general or newsInclude citations in the response
Return Sources
Return Images if provided in the response (Depends on the search query and the google API)
Can be
hour, day, week, month, year, anytime. Impact the search results recency.Parameters for custom_search and custom_search_stream methods
System prompt : The system prompt is the prompt that will be used to generate the response.
User prompt : The user prompt is the prompt that will be used to perform the web search. be as specific as possible and let the system prompt handle the details of the response.
Country code for search context. This helps in providing localized results.
choose your model :
o3-mini-high, o3-mini-medium, gpt-4o, gpt-4o-mini,gemini-2.0-flash.Type of the search :
general or newsThe amount of randomness in the response, valued between 0 inclusive and 1 exclusive. Higher values are more random, and lower values are more deterministic.
The nucleus sampling threshold, valued between 0 and 1 inclusive. For each subsequent token, the model considers the results of the tokens with top_p probability mass. We recommend either altering top_k or top_p, but not both.
Return Sources
Return Images
Can be
hour, day, week, month, year, anytime. Impact the search results recency.Parameters for get_website_text , get_website_screenshot, get_website_markdown methods
The URL of the website you want to scrap or get a screenshot from it.
Parameters for query_from_url method
The URL of the website you want to interact with.
The question you want to ask.
choose your model :
o3-mini-high, o3-mini-medium, gpt-4o, gpt-4o-mini,gemini-2.0-flash.Language code for the response. “auto” will auto-detect based on the query.
Format of the answer. Options: “text”, “markdown”, or “html”.
Supported Locations
Thelocation parameter accepts various country codes to provide localized search results. Here’s a comprehensive list of supported locations:
🇺🇸 us
🇨🇦 ca
🇬🇧 uk
🇲🇽 mx
🇪🇸 es
🇩🇪 de
🇫🇷 fr
🇵🇹 pt
🇧🇪 be
🇳🇱 nl
🇨🇭 ch
🇳🇴 no
🇸🇪 se
🇦🇹 at
🇩🇰 dk
🇫🇮 fi
🇹🇷 tr
🇮🇹 it
🇵🇱 pl
🇷🇺 ru
🇿🇦 za
🇦🇪 ae
🇸🇦 sa
🇦🇷 ar
🇧🇷 br
🇦🇺 au
🇨🇳 cn
🇰🇷 kr
🇯🇵 jp
🇮🇳 in
🇵🇸 ps
🇰🇼 kw
🇴🇲 om
🇶🇦 qa
🇮🇱 il
🇲🇦 ma
🇪🇬 eg
🇮🇷 ir
🇱🇾 ly
🇾🇪 ye
🇮🇩 id
🇵🇰 pk
🇧🇩 bd
🇲🇾 my
🇵🇭 ph
🇹🇭 th
🇻🇳 vn
Use the appropriate country code to get results relevant to a specific region. For example, use “jp” for Japan-specific results or “br” for Brazil-focused searches.
Supported Languages
Theresponse_language parameter allows you to specify the language of the API response:
auto : auto detect user question language
auto
en
fr
es
de
it
pt
nl
ja
ko
zh
ar
ru
tr
hi
Response Structure
Depending on the method you use, the response structure will vary:search and custom_search method
The main response from the language model.
A list of relevant images (if available).
set
return_images to True to include images in the resultA list of sources used to generate the response.
set return_sources to
True to include sources in the resultThe response time.
search_stream and custom_search_stream method
The streaming response is divided into chunks, each with a type field:
get_website_screenshot method
The URL where the screenshot can be accessed.
The response time.
get_website_text method
The TEXT extracted from URL
The response time.
get_website_markdown method
The TEXT in MARKDOWN format extracted from URL
The response time.
query_from_url method
The LLM response
The response time.
Best Practices
Use Specific Queries
Use Specific Queries
Be as specific as possible in your
query parameter to get more accurate results.Custom Search advice
Custom Search advice
Use the custom_search or custom_search_stream to write your own system and user prompts for more specific queries.
always be specific with the user prompt since it will be used for the web search.
Remember to include date context if needed in your system prompt.
if you need citations, you must add the citation prompt in the System prompt.
Leverage Date Context
Leverage Date Context
Use the
date_context parameter when searching for time-sensitive information.Use this format : today is 8 of october and the time is 6 PMOptimize for Locale
Optimize for Locale
Combine
location and response_language parameters for the most relevant local results.Choose the Right Answer Type
Choose the Right Answer Type
Select the appropriate
answer_type based on how you plan to display the results in your application.Write a good user prompt
Write a good user prompt
in the
custom_search and custom_search_stream methods, be as specific as possible, let the system_prompthandle the details of the response.be aware that the user_prompt will be used to perform the web search.