dvcrn Cloudsways SmartSearch Skill
Search the web and extract intelligent fragments or full-text content directly into the LLM context.
Authentication
[cite_start]Authentication is handled via the URL endpoint and an Access Key[cite: 3, 5]. You must set the following environment variables before using the script:
export CLOUDSWAYS_BASE_PATH="your-base-path"
export CLOUDSWAYS_ENDPOINT="your-endpoint"
export CLOUDSWAYS_AK="your-access-key"
Quick Start
Using the Script
If you have configured the script locally, you can call it by passing a JSON object:
./scripts/search.sh '<json>'
Examples:
# Basic search
./scripts/search.sh '{"q": "python async patterns"}'
# Search with time filter and pagination
./scripts/search.sh '{"q": "Apple earnings", "freshness": "Week", "count": 20}'
# Deep research (extracts full content and dynamic key fragments)
./scripts/search.sh '{"q": "Agentic AI architecture", "enableContent": true, "mainText": true}'
Basic Search (cURL)
curl -i --location --request GET 'https://{BasePath}/search/{Endpoint}/smart?q=latest+developments+in+quantum+computing&count=5' \
--header 'Authorization: Bearer {AK}' \
--header 'pragma: no-cache'
Advanced Search with Full Content (cURL)
curl -i --location --request GET 'https://{BasePath}/search/{Endpoint}/smart?q=machine+learning+best+practices&count=10&enableContent=true&mainText=true' \
--header 'Authorization: Bearer {AK}' \
--header 'pragma: no-cache'
API Reference
Endpoint
GET https://{BasePath}/search/{Endpoint}/smart
Headers
| Header | Type | Value | Description |
|---|---|---|---|
Authorization |
String | Bearer {AK} |
Input value uses your assigned AccessKey. |
pragma |
String | no-cache |
Entering no-cache returns results without caching, making each request independent; omitting this caches results for the same query term for 10 minutes. |
Request Parameters
| Parameter | Required | Type | Default | Description |
|---|---|---|---|---|
q |
Y | String | - | User search query term; cannot be empty. |
count |
N | Short | 10 | Number of search results included. Enum values: 10, 20, 30, 40, 50. |
freshness |
N | String | null | Filter search results by time periods: Day (Past 24 hours), Week, Month. |
offset |
N | Short | 0 | Zero-based offset indicating the number of search results to skip. Use with count to paginate. |
enableContent |
N | bool | false | Controls whether full text (content) extraction is enabled: true or false. |
contentType |
N | String | TEXT | Full text return format. Optional values: HTML, MARKDOWN, TEXT. |
contentTimeout |
N | Float | 3.0 | Full text read timeout. Maximum supported is 10 seconds. For low latency, set to 0.1. |
mainText |
N | bool | false | Used to return dynamic summary key fragments. Takes effect only when enableContent is true. |
Response Format
{
"queryContext": {
"originalQuery": "open ai recent news"
},
"webPages": {
"value": [
{
"name": "OpenAI just launched ChatGPT-5.1 Pro...",
"url": "https://www.example.com/page",
"datePublished": "2025-07-14T01:15:00.0000000Z",
"snippet": "ChatGPT is looking to compete with Gemini...",
"mainText": "Now GPT-5.1 Pro takes a lot of these improvements and makes them smarter...",
"content": "Full extracted body text goes here...",
"score": 0.8521444
}
]
}
}
Content Strategy
Understanding which text field to request is critical for token optimization:
| Field | Latency | Relevance | Description |
|---|---|---|---|
snippet |
Lowest | Good | A short text summary describing the webpage content. Best for general queries and fast browsing. |
mainText |
Medium | Highest | Dynamic summary fragments most relevant to the query term extracted from the body text. Smarter than the snippet. |
content |
Higher | High | Webpage full text information. Best for deep research, but consumes significant context tokens. |
Tips:
- For standard answers, rely on the default
snippet. - When you need precise, detailed answers without reading the whole page, use
enableContent=trueandmainText=true. - Always set
pragma: no-cacheif you are querying real-time news or stock updates.
MCP Client Integration (Alternative)
For environments supporting the Model Context Protocol (MCP), configure your MCP Client using streamable_http:
{
"mcpServers": {
"smartsearch": {
"transport": "streamable_http",
"url": "https://searchmcp.cloudsway.net/search/{YOUR_SMARTSEARCH_ENDPOINT}/smart",
"headers": {
"Authorization": "Bearer {YOUR_SMARTSEARCH_AK}"
}
}
}
}