Linkup Search

Get API Key: https://linkup.so

LiteLLM Python SDK

Linkup Search

import os
from litellm import search

os.environ["LINKUP_API_KEY"] = "..."

response = search(
    query="latest AI developments",
    search_provider="linkup",
    max_results=5
)

LiteLLM AI Gateway

1. Setup config.yaml

config.yaml

model_list:
  - model_name: gpt-4
    litellm_params:
      model: gpt-4
      api_key: os.environ/OPENAI_API_KEY

search_tools:
  - search_tool_name: linkup-search
    litellm_params:
      search_provider: linkup
      api_key: os.environ/LINKUP_API_KEY

2. Start the proxy

litellm --config /path/to/config.yaml

# RUNNING on http://0.0.0.0:4000

3. Test the search endpoint

Test Request

curl http://0.0.0.0:4000/v1/search/linkup-search \
  -H "Authorization: Bearer sk-1234" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "latest AI developments",
    "max_results": 5
  }'

Provider-specific Parameters

Linkup Search with Provider-specific Parameters

import os
from litellm import search

os.environ["LINKUP_API_KEY"] = "..."

response = search(
    query="machine learning research",
    search_provider="linkup",
    max_results=10,
    # Linkup-specific parameters
    depth="deep",                      # "standard" (faster) or "deep" (more comprehensive)
    outputType="searchResults",        # "searchResults", "sourcedAnswer", or "structured"
    includeSources=True,               # Include sources in response
    includeImages=True,                # Include images in results
    fromDate="2024-01-01",             # Start date filter (YYYY-MM-DD)
    toDate="2024-12-31",               # End date filter (YYYY-MM-DD)
    includeDomains=["arxiv.org", "nature.com"],  # Domains to search (max 100)
    excludeDomains=["wikipedia.com"],  # Domains to exclude
    includeInlineCitations=True,       # Include inline citations in sourcedAnswer
)

Features

Linkup provides powerful web search with context retrieval capabilities:

Search Depth

Control the precision and speed of your search:

• standard - Returns results faster
• deep - Takes longer but yields more comprehensive results

Output Types

Choose how results are formatted:

• searchResults - Returns a list of search results with URLs and content
• sourcedAnswer - Returns an AI-generated answer with sources
• structured - Returns results in a custom JSON schema format

Date Filtering

Filter results by date range:

response = search(
    query="AI developments",
    search_provider="linkup",
    fromDate="2024-06-01",
    toDate="2024-12-31"
)

Domain Filtering

Include or exclude specific domains:

response = search(
    query="research papers",
    search_provider="linkup",
    includeDomains=["arxiv.org", "nature.com", "ieee.org"],
    excludeDomains=["wikipedia.com"]
)

Structured Output

Get results in a custom JSON schema format:

response = search(
    query="Microsoft 2024 revenue",
    search_provider="linkup",
    outputType="structured",
    structuredOutputSchema='{"type": "object", "properties": {"revenue": {"type": "string"}, "year": {"type": "string"}}}'
)

Response Format

Linkup returns results in the following format:

{
  "results": [
    {
      "type": "text",
      "name": "Microsoft 2024 Annual Report",
      "url": "https://www.microsoft.com/investor/reports/ar24/index.html",
      "content": "Highlights from fiscal year 2024..."
    }
  ]
}

LiteLLM transforms this to the standard SearchResponse format:

• results[].name → SearchResult.title
• results[].url → SearchResult.url
• results[].content → SearchResult.snippet