Live web search and real-time news for LangChain agents

langchain-nestdaddy is a LangChain integration for NestDaddy's own search index and real-time news collection. It gives you three tools and one retriever:

Install

pip install -U langchain langchain-nestdaddy
export NESTDADDY_API_KEY="your-key"

Get a key at nestdaddy.com/mcp (free plan: 1,000 calls a month, no card).

Use the tools

from langchain_nestdaddy import NestDaddyNewsSearch, NestDaddySearch

NestDaddySearch(max_results=2).invoke({"query": "model context protocol"})
NestDaddyNewsSearch(max_results=3, days=2).invoke({"query": "AI agents"})

Give an agent live search and news

from langchain.agents import create_agent
from langchain_nestdaddy import NestDaddyNewsSearch, NestDaddyReadPage, NestDaddySearch

agent = create_agent(
    "anthropic:claude-sonnet-5-5",
    tools=[NestDaddySearch(max_results=5), NestDaddyNewsSearch(days=7), NestDaddyReadPage()],
    system_prompt=(
        "Use news search for anything recent, web search for everything else. "
        "Read a page in full before you explain its details, and cite the urls you used."
    ),
)
result = agent.invoke({"messages": [{"role": "user", "content": "What did OpenAI announce this week?"}]})
print(result["messages"][-1].content)

Any chat model with tool calling works: swap the model string for OpenAI, Gemini or a local model through Ollama.

RAG over today's news

NestDaddyNewsRetriever returns news articles as Documents (with title, url, source and date in the metadata), so it drops into any LangChain RAG chain. The full guide shows the options and the output.

Full guide with outputs: Give your LangChain agent live web search and real-time news. Source: github.com/nestdaddy/langchain-nestdaddy.