Automating software development
In LangChain, we have several integrations for code execution, like LLMMathChain, which executes Python code to solve math questions, and BashChain, which executes Bash terminal commands, which can help with system administration tasks. However, while useful for problem-solving, these don’t address the larger software development process.
This approach of solving problems with code can, however, work quite well, as we’ll see here:
from langchain.llms.openai import OpenAI
from langchain.agents import load_tools, initialize_agent, AgentType
llm = OpenAI()
tools = load_tools(["python_repl"])
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
result = agent("What are the prime numbers until 20?")
print(result)
We can see how the prime number calculations get processed quite well under the hood between OpenAI’s LLM and the Python interpreter:
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