Ollama: Run a Local Model Behind a Small API

Define the local boundary

Local inference changes where model execution happens, not the need for security. Decide which data may be sent to the local service, how long prompts are retained, and which users may call it.

Build one endpoint

Create a POST /summarize endpoint that accepts plain text below a conservative size limit. Validate input, set a timeout, return a typed response, and avoid logging raw user text. The endpoint should call one model with fixed system instructions.

Measure before optimizing

Record cold-start time, median response time, memory use, and a five-case quality set. Compare a short factual summary, a malformed input, an oversized input, a request with private-looking data, and a request that should be rejected by your application policy.

Practice: write a model card

Document model name, version, intended task, known limitations, data-handling policy, and rollback path. This is more useful than claiming a local model is automatically private or correct.

Common mistake

Never expose a local model port directly to the public internet without authentication, rate limits, and network controls.