Tools For AI SDR Kit

List of tools you can use for your AI SDR Development, compatible with agentic frameworks like CrewAI, LangChain, and LlamaIndex etc. These utilities enable file system operations, command execution, and other core development tasks

Contact Data

Cognism

Provides GDPR-compliant B2B contact data and prospecting solutions.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet()
tools = composio_toolset.get_tools(apps=[App.COGNISM])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Apollo.io

A sales intelligence platform for finding leads and automating outbound workflows.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['APOLLO'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Zoominfo

Offers comprehensive contact and company information for sales and marketing teams.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['ZOOMINFO'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

RocketReach

Delivers verified email addresses and contact details for professionals worldwide.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['ROCKET_REACH'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Uplead

A B2B lead generation platform with real-time data enrichment.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['UPLEAD'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

G2

A platform for discovering and comparing software solutions based on user reviews.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['G2'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Sales Engagement

Salesloft

A sales engagement platform to streamline prospecting and customer outreach.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['SALESLOFT'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Outreach

Enables sales teams to manage and optimize multi-channel engagement.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['OUTREACH'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Gong

Analyzes sales calls and provides actionable insights to improve team performance.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['GONG'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Close

A CRM designed for inside sales with built-in calling, email, and pipeline management.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CLOSE'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Intent Data

Clearbit

Offers company data, intent signals, and enrichment for targeting prospects.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CLEARBIT'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

6 Sense

Uses AI-powered intent data to identify and prioritize potential buyers.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['SIX_SENSE'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

RB2B

Helps identify buyer intent with data-driven insights for B2B marketing and sales.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['RB_TWOB'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Email Warmup

Instantly

Improves email deliverability through warmup and automated outreach.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['INSTANTLY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Lemwarm

Optimizes inbox placement by simulating email interactions.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['LEMWARM'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Mailreach

Helps improve email deliverability through personalized email warmup.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['MAILREACH'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Lemlist

An email outreach platform with personalization and deliverability optimization features.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['LEMLIST'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Warmly

A tool to enhance deliverability and inbox performance for email campaigns.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['WARMLY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Research and Personalization

Regie AI

Creates AI-powered personalized content for outreach and sales.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['REGIE_AI'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Jasper

Generates AI-driven content for emails, blogs, and personalized messaging.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['JASPER'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Clay

Automates lead research and creates hyper-personalized outreach.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CLAY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Aomni

Enables personalized outreach through AI-driven data aggregation.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['AOMNI'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

CrunchBase

Provides business information for market research and sales prospecting.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CRUNCHBASE'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

CBInsights

Delivers market intelligence and insights for business decision-making.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CB_INSIGHTS'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Enrichment

Seamless AI

Offers real-time data enrichment for contacts and companies.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['SEAMLESS'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Clay

Combines enrichment and automation to create highly personalized outreach campaigns.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App

llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CLAY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Lusha

Simplifies B2B prospecting with enriched contact and company data.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['LUSHA'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Meetings

Calendly

Simplifies scheduling by automating meeting bookings.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CALENDLY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Chili Piper

Streamlines inbound meeting scheduling and routing for sales teams.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CHILI_PIPER'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Cal.com

Simplifies scheduling by automating meeting bookings.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CAL'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Caller

Just Call

A cloud-based phone system for managing sales and support calls.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['JUST_CALL'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Nooks

Performs code formatting and linting using ruff, addressing style issues and checking for errors

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['NOOKS'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Dialpad

A unified communications platform with AI-powered calling and messaging.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['DIALPAD'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Twilio

Enables developers to integrate messaging, voice, and video in applications.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['TWILIO'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Orum

A tool for automated, AI-powered sales calling.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['ORUM'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Linkedin Automation

Octopus

Automates LinkedIn outreach, connection requests, and messaging.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['OCTOPUS'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Expand io

Boosts LinkedIn prospecting with automated workflows.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['EXPAND'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

PhantomBuster

Extracts data and automates actions on LinkedIn and other platforms.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['PHANTOM_BUSTER'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Dripify

Simplifies LinkedIn prospecting with drip campaigns and automation.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['DRIPIFY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

CRM Tools

HubSpot

A robust CRM for marketing, sales, and customer service management.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['HUBSPOT'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Pipedrive

A CRM tool designed to optimize and track the sales pipeline.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['PIPEDRIVE'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Salesforce

A leading CRM platform for managing customer relationships and automating processes.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['SALESFORCE'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Highlevel

An all-in-one CRM platform for managing leads, marketing, and sales.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['HIGHLEVEL'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Attio

A collaborative CRM built for fast-moving teams.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['ATTIO'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Email Deliverability

Gmail

A widely used email platform with powerful organizational tools.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['GMAIL'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

MailChimp

A marketing platform for email campaigns and audience management.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['MAILCHIMP'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Brevo

(formerly Sendinblue) Offers tools for email marketing, SMS campaigns, and automation.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['BREVO'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Selzy

Simplifies email marketing with a beginner-friendly interface and tools.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['SELZY'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

Klaviyo

An email marketing platform focused on personalization and eCommerce.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['KLAVIYO'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)

CleverTap

Provides customer engagement and retention through personalized messaging campaigns.

Python

from langchain.agents import create_openai_functions_agent, AgentExecutor
from langchain import hub
from langchain_openai import ChatOpenAI
from composio_langchain import ComposioToolSet, Action, App
llm = ChatOpenAI()
prompt = hub.pull("hwchase17/openai-functions-agent")

composio_toolset = ComposioToolSet(api_key="")
tools = composio_toolset.get_tools(apps=['CLEVERTAP'])

agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
task = "your task description here"
result = agent_executor.invoke({"input": task})
print(result)