Run AI-Generated Python Without Production Credentials

Freestyle enables AI-generated Python programs to access approved APIs and databases without exposing credentials inside their virtual machines by injecting authentication at the network edge through TLS and Postgres transforms. A trusted worker provisions each isolated job VM, selects permitted services and input files, supplies narrowly scoped credentials through platform configuration, retrieves bounded outputs, and deletes the VM afterward. For custom signing, tenant policies, or request rewriting, a separate trusted mitmproxy VM can hold signing keys and enforce that job traffic passes through a restricted private proxy. The guidance emphasizes preparing reusable images with pinned dependencies before untrusted execution, applying least-privilege network and database policies, keeping raw internet access closed unless explicitly required, transferring only necessary files, and treating all generated code, outputs, logs, and returned artifacts as untrusted. It also recommends resource limits, durable cleanup procedures, schema validation for results, and end-to-end testing to confirm that credentials, network routes, tenant data, and proxy controls remain properly isolated.

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