AI Code Execution API

LLMs can generate code, but they can't run it. A coding agent that writes Python, JavaScript, or any other language needs a way to execute that code, check the output, and iterate if something fails. Running agent-generated code on your own machine is dangerous — the code could contain bugs, infinite loops, or even malicious operations if the LLM hallucinates. Sandboxed code execution solves this by running the agent's code in an isolated environment with resource limits, network restrictions, and automatic timeouts. Through Locus, your agent can execute code via the Judge0 API and pay per execution — no Judge0 subscription or API key management required.

• •Test-driven development — Agent writes code, writes tests, runs both via Judge0, and iterates until all tests pass. Fully autonomous TDD pipeline.
• •Data analysis — Agent writes Python scripts to process data, runs them in a sandbox, and returns the results. Useful for agents that need to compute statistics, generate charts, or transform datasets.
• •Code review and validation — A review agent takes submitted code, runs it against test cases, checks for correctness and performance, and provides feedback.
• •Mathematical computation — When an LLM needs exact calculations, it can write code to compute the answer precisely rather than attempting mental math that might hallucinate.

Coding agents combine LLM reasoning with sandboxed code execution. The agent uses a current Claude or GPT model to understand the problem and generate code, Judge0 to run it, and then feeds the output back to the LLM for analysis. If the code fails, the LLM reads the error message and generates a fix. Through Locus, both the LLM calls and code executions use the same wallet, giving you one view of the task cost.