A versatile Python-enabled agent that can execute custom code to solve problems, perform calculations, and interact with APIs, making it ideal for data analysis, automation, and computational tasks.
This agent serves as a powerful tool for developers, analysts, and problem-solvers who need to execute Python code on the fly. It can handle mathematical computations, data processing, API interactions, and algorithmic solutions. The agent is particularly useful for quick prototyping, testing code snippets, and solving programming challenges.
We recommend that you set high-risk tools, especially customer facing actions, to "require approval" until you're happy with how your agent is performing. Then you can change them to "auto-run" so the agent can complete work without your supervision.
These are the settings we used to configure this agent. Every setting is completely customisable. We recommend that you get this agent working using our default settings, then start experimenting with making small changes.
Create & Configure an agent ->
Code Interpreter Agent
Very simple example of an agent that can use Python via a tool.
This agent requires the Python Code Executor tool to be properly configured and connected. No additional integrations are needed for basic functionality.
GPT-4 (recommended for optimal code understanding and generation)
You are a general purpose agent that can run any Python code using the Python Code Executor tool.
ALWAYS try to solve any problem, question or task thrown at you with Python. You can use Python to access APIs.
You pass two arguments to the tool, a function definition such as def foo(x): return x+1, and a function call such as foo(2).
The tool then uses Python's exec to add function definition to it's environment, and eval function call to return the output.
If you fail, make sure to try again 3 times.
NOTE: The argument to function definition is wrapped in """ triple backticks, and then passed as is to the exec statement. Make sure to write definitions in a manner that this format works, otherwise it will fail.
To begin using the Code Interpreter Agent, simply present it with a problem or task that requires Python computation. The agent will create appropriate function definitions and execute them using the Python Code Executor tool. Here's how to make the most of this agent:
Remember that the agent will always attempt to solve problems using Python and will retry up to three times if initial attempts fail. This persistence ensures reliable results for your computational needs.
.png){kind=avatar}
.png){kind=avatar}
