langchain-quercle 0.1.1

LangChain tools for Quercle web search and URL fetching

quercle-langchain

LangChain tools for Quercle web search and URL fetching.

Installation

uv add langchain-quercle

Or with pip:

pip install langchain-quercle

Quick Start

from quercle_langchain import QuercleSearchTool, QuercleFetchTool

# Initialize tools (uses QUERCLE_API_KEY env var by default)
search = QuercleSearchTool()
fetch = QuercleFetchTool()

# Or with explicit API key
search = QuercleSearchTool(api_key="qk_...")
fetch = QuercleFetchTool(api_key="qk_...")

Usage with LangChain Agents

from langchain.agents import initialize_agent, AgentType
from langchain_openai import ChatOpenAI
from quercle_langchain import QuercleSearchTool, QuercleFetchTool

# Initialize tools
tools = [QuercleSearchTool(), QuercleFetchTool()]

# Create agent
llm = ChatOpenAI(model="gpt-4")
agent = initialize_agent(
    tools=tools,
    llm=llm,
    agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
)

# Run the agent
result = agent.run("Search for the latest Python release and summarize it")

Direct Tool Usage

Search

from quercle_langchain import QuercleSearchTool

search = QuercleSearchTool()

# Basic search
result = search.invoke({"query": "What is TypeScript?"})
print(result)

# With domain filtering
result = search.invoke({
    "query": "machine learning tutorials",
    "allowed_domains": ["*.edu", "*.org"],
    "blocked_domains": ["ads.com"],
})

Fetch

from quercle_langchain import QuercleFetchTool

fetch = QuercleFetchTool()

result = fetch.invoke({
    "url": "https://docs.python.org/3/whatsnew/3.12.html",
    "prompt": "Summarize the key new features in bullet points",
})
print(result)

Async Usage

Both tools support async operations:

import asyncio
from quercle_langchain import QuercleSearchTool, QuercleFetchTool

async def main():
    search = QuercleSearchTool()
    fetch = QuercleFetchTool()

    # Async search
    result = await search.ainvoke({"query": "async Python programming"})
    print(result)

    # Async fetch
    result = await fetch.ainvoke({
        "url": "https://example.com",
        "prompt": "Extract main topics",
    })
    print(result)

asyncio.run(main())

Configuration

Environment Variable

Set your API key as an environment variable:

export QUERCLE_API_KEY=qk_your_api_key_here

Tool Parameters

Both tools accept these optional parameters:

• api_key: Your Quercle API key (falls back to QUERCLE_API_KEY env var)
• timeout: Request timeout in seconds

tool = QuercleSearchTool(
    api_key="qk_...",
    timeout=60.0,
)

Tool Descriptions

QuercleSearchTool

• Name: search
• Description: Search the web and get AI-synthesized answers with citations
• Arguments:
  • query (required): The search query
  • allowed_domains (optional): List of domains to include (e.g., ["*.edu"])
  • blocked_domains (optional): List of domains to exclude

QuercleFetchTool

• Name: fetch
• Description: Fetch a URL and analyze its content with AI
• Arguments:
  • url (required): The URL to fetch
  • prompt (required): Instructions for content analysis

License

MIT