Linkup + Claude

pip install linkup-sdk anthropic

import anthropic
from linkup import LinkupClient
import json

# Initialize clients with your API keys
claude_client = anthropic.Anthropic(api_key="your_anthropic_api_key")
linkup_client = LinkupClient(api_key="your_linkup_api_key")

tools = [{
    "name": "search_web",
    "description": "Search the web in real time. Use this tool whenever the user needs trusted facts, news, or source-backed information. Returns comprehensive content from the most relevant sources.",
    "input_schema": {
        "type": "object",
        "properties": {
            "query": {
                "type": "string",
                "description": "The search query"
            }
        },
        "required": ["query"]
    }
}]

# Start a conversation
messages = [
    {"role": "user", "content": "What are the latest AI developments?"}
]

# Get Claude's response
response = claude_client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1000,
    messages=messages,
    tools=tools
)

# Check if Claude wants to call our function
if response.stop_reason == "tool_use":
    # Get the function call details
    tool_use = next(block for block in response.content if block.type == "tool_use")
    
    # Call Linkup to search the web
    linkup_response = linkup_client.search(query=tool_use.input["query"], depth="standard")
    search_results = json.dumps([{"content": result.content} for result in linkup_response.results])
    
    # Continue the conversation with the function result
    messages = [
        {"role": "user", "content": "What are the latest AI developments?"},
        {"role": "assistant", "content": response.content},
        {
            "role": "user",
            "content": [{
                "type": "tool_result",
                "tool_use_id": tool_use.id,
                "content": search_results
            }]
        }
    ]
    
    # Get final response with search results
    final_response = claude_client.messages.create(
        model="claude-3-5-sonnet-20241022",
        max_tokens=1000,
        messages=messages,
        tools=tools
    )
    
    # Extract text from response
    text_content = next((block.text for block in final_response.content if hasattr(block, "text")), None)
    print(text_content)
else:
    # Extract text from response
    text_content = next((block.text for block in response.content if hasattr(block, "text")), None)
    print(text_content)