Build Your Own Code Interpreter with Dynamic Tool Generation

In the realm of AI and machine learning, the ability to interact with the outside world or other agents is crucial. This interaction is often facilitated through tool calling, where a language model can invoke a function with specific arguments. Traditionally, these functions are predefined, limiting the model's adaptability. However, with the advent of dynamic tool generation, we can now create tools on the fly, based on user prompts, using models like o3-mini.

Setting Up the Environment

To begin, you'll need to set up an isolated code execution environment. This is crucial for security, ensuring that any code generated by the language model is executed in a contained environment without access to the host machine's resources.

docker build -t python_sandbox:latest ./resources/docker

Defining the Agents

Next, define the agents that will interact with the environment. You'll need at least two agents:

1. File Access Agent: This agent reads files and provides context to the second agent.
2. Python Code Executor Agent: This agent generates Python code based on the user's query and executes it within the Docker container.

Orchestrating the Agents

With the agents defined, you can now orchestrate their interaction. The user provides a task, which is processed by the File Access Agent to gather necessary context. This context is then passed to the Python Code Executor Agent, which generates and executes the appropriate Python code.

Example Scenario

Consider a scenario where you need to analyze traffic accident data to determine factors contributing to accident frequency. Using dynamic tool generation, the o3-mini model can generate Python code to perform this analysis, execute it within the Docker container, and return the results.

Conclusion

By following these steps, you can build a custom code interpreter that leverages dynamic tool generation for flexible, powerful, and cost-effective AI applications. This method not only enhances the adaptability of your AI solutions but also ensures their security through isolated execution environments.

Reference: Build Your Own Code Interpreter - Dynamic Tool Generation and Execution With o3-mini by Mandeep Singh