Tools For AI SDR Kit

Contact Data

Cognism

Provides GDPR-compliant B2B contact data and prospecting solutions.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet()
10 tools = composio_toolset.get_tools(apps=[App.COGNISM])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Apollo.io

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['APOLLO'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Zoominfo

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['ZOOMINFO'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

RocketReach

Delivers verified email addresses and contact details for professionals worldwide.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['ROCKET_REACH'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Uplead

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['UPLEAD'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

G2

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['G2'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Sales Engagement

Salesloft

A sales engagement platform to streamline prospecting and customer outreach.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['SALESLOFT'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Outreach

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['OUTREACH'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Gong

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['GONG'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Close

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['CLOSE'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Intent Data

Clearbit

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['CLEARBIT'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

6 Sense

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['SIX_SENSE'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

RB2B

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['RB_TWOB'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Email Warmup

Instantly

Improves email deliverability through warmup and automated outreach.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['INSTANTLY'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Lemwarm

Optimizes inbox placement by simulating email interactions.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['LEMWARM'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Mailreach

Helps improve email deliverability through personalized email warmup.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['MAILREACH'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Lemlist

An email outreach platform with personalization and deliverability optimization features.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['LEMLIST'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Warmly

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['WARMLY'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Research and Personalization

Regie AI

Creates AI-powered personalized content for outreach and sales.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['REGIE_AI'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Jasper

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['JASPER'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Clay

Automates lead research and creates hyper-personalized outreach.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['CLAY'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Aomni

Enables personalized outreach through AI-driven data aggregation.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['AOMNI'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

CrunchBase

Provides business information for market research and sales prospecting.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['CRUNCHBASE'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

CBInsights

Delivers market intelligence and insights for business decision-making.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['CB_INSIGHTS'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Enrichment

Seamless AI

Offers real-time data enrichment for contacts and companies.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['SEAMLESS'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Clay

Combines enrichment and automation to create highly personalized outreach campaigns.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 
6 llm = ChatOpenAI()
7 prompt = hub.pull("hwchase17/openai-functions-agent")
8 
9 composio_toolset = ComposioToolSet(api_key="")
10 tools = composio_toolset.get_tools(apps=['CLAY'])
11 
12 agent = create_openai_functions_agent(llm, tools, prompt)
13 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
14 
15 task = "your task description here"
16 result = agent_executor.invoke({"input": task})
17 print(result)

Lusha

Simplifies B2B prospecting with enriched contact and company data.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['LUSHA'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Meetings

Calendly

Simplifies scheduling by automating meeting bookings.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['CALENDLY'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Chili Piper

Streamlines inbound meeting scheduling and routing for sales teams.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['CHILI_PIPER'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Cal.com

Simplifies scheduling by automating meeting bookings.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['CAL'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Caller

Just Call

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['JUST_CALL'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Nooks

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['NOOKS'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Dialpad

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['DIALPAD'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Twilio

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['TWILIO'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Orum

A tool for automated, AI-powered sales calling.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['ORUM'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Linkedin Automation

Octopus

Automates LinkedIn outreach, connection requests, and messaging.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['OCTOPUS'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Expand io

Boosts LinkedIn prospecting with automated workflows.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['EXPAND'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

PhantomBuster

Extracts data and automates actions on LinkedIn and other platforms.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['PHANTOM_BUSTER'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Dripify

Simplifies LinkedIn prospecting with drip campaigns and automation.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['DRIPIFY'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

CRM Tools

HubSpot

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['HUBSPOT'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Pipedrive

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['PIPEDRIVE'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Salesforce

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['SALESFORCE'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Highlevel

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['HIGHLEVEL'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Attio

A collaborative CRM built for fast-moving teams.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['ATTIO'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Email Deliverability

Gmail

A widely used email platform with powerful organizational tools.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['GMAIL'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

MailChimp

A marketing platform for email campaigns and audience management.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['MAILCHIMP'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Brevo

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['BREVO'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Selzy

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

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['SELZY'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

Klaviyo

An email marketing platform focused on personalization and eCommerce.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['KLAVIYO'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)

CleverTap

Provides customer engagement and retention through personalized messaging campaigns.

1 from langchain.agents import create_openai_functions_agent, AgentExecutor
2 from langchain import hub
3 from langchain_openai import ChatOpenAI
4 from composio_langchain import ComposioToolSet, Action, App
5 llm = ChatOpenAI()
6 prompt = hub.pull("hwchase17/openai-functions-agent")
7 
8 composio_toolset = ComposioToolSet(api_key="")
9 tools = composio_toolset.get_tools(apps=['CLEVERTAP'])
10 
11 agent = create_openai_functions_agent(llm, tools, prompt)
12 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)
13 task = "your task description here"
14 result = agent_executor.invoke({"input": task})
15 print(result)