browseai 0.1.2

Python SDK for BrowseAI Dev — reliable research infrastructure for AI agents

browseai

Reliable research infrastructure for AI agents. Python SDK for BrowseAI Dev — the research layer for LangChain, CrewAI, and custom agent pipelines.

Install

pip install browseai

Quick Start

from browseai import BrowseAI

client = BrowseAI(api_key="bai_xxx")

# Research with citations
result = client.ask("What is quantum computing?")
print(result.answer)
print(f"Confidence: {result.confidence:.0%}")
for source in result.sources:
    print(f"  - {source.title}: {source.url}")

# Thorough mode — auto-retries if confidence < 60%
deep = client.ask("What is quantum computing?", depth="thorough")

# Web search
results = client.search("latest AI news", limit=5)

# Page extraction
page = client.open("https://example.com")

# Structured extraction from a URL
extract = client.extract("https://example.com", query="pricing info")

# Compare raw LLM vs evidence-backed
compare = client.compare("Is Python faster than Rust?")

Async

from browseai import AsyncBrowseAI

async with AsyncBrowseAI(api_key="bai_xxx") as client:
    result = await client.ask("What is quantum computing?")
    # Thorough mode works with async too
    deep = await client.ask("What is quantum computing?", depth="thorough")

BYOK (Bring Your Own Keys)

client = BrowseAI(tavily_key="tvly-xxx", openrouter_key="sk-or-xxx")

LangChain

pip install browseai[langchain]

from browseai.integrations.langchain import BrowseAIAskTool

tools = [BrowseAIAskTool(api_key="bai_xxx")]

CrewAI

pip install browseai[crewai]

from browseai.integrations.crewai import BrowseAITool

researcher = Agent(tools=[BrowseAITool(api_key="bai_xxx")])