LangChain (Python)

pip install langchain-oneshot

from langchain_oneshot import OneShotToolkit
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

toolkit = OneShotToolkit.from_private_key(
    private_key="0x...",
)

# All 26 tools, ready to go
tools = toolkit.get_tools()

# Wire into any LangChain-compatible agent
llm = ChatOpenAI(model="gpt-4o")
agent = create_react_agent(llm, tools)

result = agent.invoke({
    "messages": [("user", "Research the latest AI agent frameworks")]
})

from langchain_oneshot import OneShotClient, ResearchTool

client = OneShotClient(private_key="0x...")
research = ResearchTool(client=client)
result = research.invoke({"topic": "AI agent frameworks 2026"})

toolkit = OneShotToolkit.from_private_key("0x...")

# Debug logging
toolkit = OneShotToolkit.from_private_key("0x...", debug=True)

from langchain_oneshot import OneShotClient, EmailTool

client = OneShotClient(private_key="0x...")
email = EmailTool(client=client)

result = email.invoke({
    "to": "[email protected]",
    "subject": "Meeting Tomorrow",
    "body": "Hi John, let's meet at 3pm instead. Thanks!"
})

from langchain_oneshot import OneShotClient, ResearchTool

client = OneShotClient(private_key="0x...")
research = ResearchTool(client=client)

result = research.invoke({
    "topic": "State of AI agent frameworks in 2026",
    "depth": "deep"
})

from langchain_oneshot import OneShotClient, FindEmailTool, VerifyEmailTool

client = OneShotClient(private_key="0x...")

# Find someone's email
finder = FindEmailTool(client=client)
found = finder.invoke({
    "full_name": "Jane Smith",
    "company_domain": "acme.com"
})

# Verify it's deliverable
verifier = VerifyEmailTool(client=client)
verified = verifier.invoke({"email": "[email protected]"})

from langchain_oneshot import OneShotClient, BuildTool

client = OneShotClient(private_key="0x...")
build = BuildTool(client=client)

result = build.invoke({
    "product": {
        "name": "Acme Analytics",
        "description": "Real-time analytics dashboard for modern teams"
    },
    "type": "saas",
    "lead_capture": {"enabled": True}
})

from langchain_oneshot import OneShotClient, BrowserTool, BrowserCreateProfileTool

client = OneShotClient(private_key="0x...")

# Create a profile
create = BrowserCreateProfileTool(client=client)
profile = create.invoke({"name": "my-scraper"})

# Use it in a browser task with credentials
browser = BrowserTool(client=client)
result = browser.invoke({
    "task": "Go to github.com/notifications and list unread items",
    "profile_id": profile["id"],
    "secrets": {"github.com": "user:ghp_token"},
    "allowed_domains": ["github.com"],
})

from langchain_oneshot import (
    OneShotClient,
    EmailTool,
    ResearchTool,
    InboxListTool,
)
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

client = OneShotClient(private_key="0x...")

# Pick only the tools you need
tools = [
    ResearchTool(client=client),
    EmailTool(client=client),
    InboxListTool(client=client),
]

agent = create_react_agent(ChatOpenAI(model="gpt-4o"), tools)
result = agent.invoke({
    "messages": [("user", "Research quantum computing breakthroughs and email a summary to [email protected]")]
})