Tools For SWE Kit

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

File Tool

Open file

Opens a file in the editor based on the provided file path, If line_number is provided, the window will be move to include that line

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(actions=['FILETOOL_OPEN_FILE'])

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)

Rename a file

Renames a file based on the provided file path

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(actions=['FILETOOL_RENAME_FILE'])

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)

Edit a file

Use this tools to edit a file on specific line numbers

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(actions=['FILETOOL_EDIT_FILE'])

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)

Create file

Creates a new file or directory within a shell session

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(actions=['FILETOOL_CREATE_FILE'])

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)

Scroll

Scrolls the view of the opened file up or down by 100 lines

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(actions=['FILETOOL_SCROLL'])

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)

Scroll

Scrolls the view of the opened file up or down by 100 lines

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(actions=['FILETOOL_SCROLL'])

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)

List files

Lists files and directories in the current working directory

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(actions=['FILETOOL_LIST_FILES'])

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)

Search word

Search for a specific word or phrase across multiple files in your workspace by specifying a pattern

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(actions=['FILETOOL_SEARCH_WORD'])

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)

Find file

Finds files or directories matching the given pattern in the workspace

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(actions=['FILETOOL_FIND_FILE'])

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)

Write

Write the given content to a file

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(actions=['FILETOOL_WRITE'])

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)

Change working directory

Changes the current working directory of the file manager to the specified path

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(actions=['FILETOOL_CHANGE_WORKING_DIRECTORY'])

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)

Git clone

This action allows you to clone a Git repository to your local directory

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(actions=['FILETOOL_GIT_CLONE'])

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)

Git repo tree

Creates a tree representation of the Git repository

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(actions=['FILETOOL_GIT_REPO_TREE'])

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)

Get Git Patch

Get the patch from the current working directory

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(actions=['FILETOOL_GIT_PATCH'])

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)

Code Analysis Tool

Create index

Use this to create a code map for a repository by indexing and analyzing its contents

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(actions=['CODE_ANALYSIS_TOOL_CREATE_CODE_MAP'])

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)

Get Class Info

This tool retrieves and formats detailed information about a specified class in a given repository

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(actions=['CODE_ANALYSIS_TOOL_GET_CLASS_INFO'])

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)

Get Method Body

This tool retrieves the body of a specified method from a given repository

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(actions=['CODE_ANALYSIS_TOOL_GET_METHOD_BODY'])

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)

Get Method Signature

This tool retrieves the signature of a specified method from a given repository.

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(actions=['CODE_ANALYSIS_TOOL_GET_METHOD_SIGNATURE'])

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)

Get Relevant Code

Retrieves relevant code snippets from a repository based on a given query

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(actions=['CODE_ANALYSIS_TOOL_GET_RELEVANT_CODE'])

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)

Shell Tool

Exec command

Run any command directly on shell

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(actions=['SHELLTOOL_EXEC_COMMAND'])

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)

Create shell

Use this tool to create a new shell session

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(actions=['SHELLTOOL_CREATE_SHELL'])

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)

Spawn process

Spawn a process

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(actions=['SHELLTOOL_SPAWN_PROCESS'])

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)

Test command

Run the command for testing the patch

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(actions=['SHELLTOOL_TEST_COMMAND'])

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)

RAG Tool

Add content to RAG

Tool for adding content to the knowledge base

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(actions=['RAGTOOL_ADD_CONTENT_TO_RAG_TOOL'])

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)

Query Knowledge Base

Tool for querying a knowledge base

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(actions=['RAGTOOL_ADD_CONTENT_TO_RAG_TOOL'])

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)

Embed Tool

Create Image Vector Store

Creates Vector Store for all image files in the specified folder

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(actions=['EMBED_TOOL_CREATE_IMAGE_VECTOR_STORE'])

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)

Query Image Vector Store

Query Vector Store for images

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(actions=['EMBED_TOOL_QUERY_IMAGE_VECTOR_STORE'])

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)

Other Useful Tools

SQL query

Executes a SQL Query and returns the results

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(actions=['SQLTOOL_SQL_QUERY'])

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)

Advanced Codebase Search

Performs an advanced search across a codebase using regex patterns & optimized for large-scale software projects

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(actions=['CODE_GREP_TOOL_SEARCH_CODEBASE'])

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)

Format and Lint Codebase

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(actions=['CODE_FORMAT_TOOL_FORMAT_AND_LINT_CODEBASE'])

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)

Get workspace history

Returns history for workspace which includes state of the environment, last executed n commands & output from last n commands

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(actions=['HISTORY_FETCHER_GET_WORKSPACE_HISTORY'])

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)