Code Execution — AI Writes and Runs Code

Imagine asking a helper to organize your messy desk—and instead of just listing what’s there, they sort everything into labeled folders before you even blink. That’s exactly what execute_code does for AI: it turns a chatty assistant into a doer.

What Is execute_code?

In plain terms, execute_code lets the AI write a Python script and run it on the spot. Tasks that used to take five back-and-forth messages—like pulling data, analyzing it, and generating a report—now happen in one shot. Think of it as handing the AI a toolbox: it opens the box, picks the right tool, and gets the job done without asking you for permission at every step.

How It Works (Behind the Scenes)

The magic happens in five quiet steps, invisible to you:

1. AI writes the script – It starts with from hermes_tools import ... and writes a short Python program.
2. Tool module is generated – Hermes creates a hermes_tools.py file containing all available helper functions.
3. A private channel opens – Hermes sets up a Unix domain socket so the script can call back to the main system.
4. Script runs in isolation – The code executes in a separate subprocess, like a small private room, with every tool call sent back through the channel.
5. Only results are shown – Only the script’s print() output reaches you. All the intermediate tool calls stay hidden.

Here’s a tiny example of what the AI might write:

from hermes_tools import search_web, summarize_text

results = search_web("2024 AI trends")
summary = summarize_text(results)
print(f"Summary: {summary}")

Why You’ll Love It

• Saves time – A five-step conversation becomes a single step.
• No noise – The AI might search ten times or call three tools, but you only see the final answer.
• More reliable – Scripts are deterministic. They don’t drift off-topic like free-form chat can.

Real-World Uses

• Batch processing – Ask the AI to read 100 files, extract key info, and compile a table.
• Multi-step analysis – Pull data from a database → clean it → plot a chart → write a summary, all in one go.
• Automated testing – Have the AI write a test script, run it, and report which features are broken.

Pro Tip

To trigger this feature, just say “use code execution” or “write a script to handle it.” For example: “Use code execution to count all words in every document in this folder.”

Remember: AI writes the code, runs the code, and you just read the results. It’s like having a super-efficient assistant who says, “Done—here’s what you need,” without bothering you with the messy middle.

Final Takeaway

execute_code upgrades AI from a talker to a doer. It writes scripts, runs them, and reports back—turning complex workflows into one-click tasks. Next time you face a multi-step job, try saying “use code execution.” You’ll be surprised how much an AI can actually get done.