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llama-stack-mirror/docs/source/providers/inference/remote_ollama.md
Ashwin Bharambe 68a2dfbad7
feat(ollama): periodically refresh models (#2805) 
For self-hosted providers like Ollama (or vLLM), the backing server is
running a set of models. That server should be treated as the source of
truth and the Stack registry should just be a cache for those models. Of
course, in production environments, you may not want this (because you
know what model you are running statically) hence there's a config
boolean to control this behavior.

_This is part of a series of PRs aimed at removing the requirement of
needing to set `INFERENCE_MODEL` env variables for running Llama Stack
server._

## Test Plan

Copy and modify the starter.yaml template / config and enable
`refresh_models: true, refresh_models_interval: 10` for the ollama
provider. Then, run:

```
LLAMA_STACK_LOGGING=all=debug \
  ENABLE_OLLAMA=ollama uv run llama stack run --image-type venv /tmp/starter.yaml
```

See a gargantuan amount of logs, but verify that the provider is
periodically refreshing models. Stop and prune a model from ollama
server, restart the server. Verify that the model goes away when I call
`uv run llama-stack-client models list`
2025-07-18 12:20:36 -07:00

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remote::ollama

Description

Ollama inference provider for running local models through the Ollama runtime.

Configuration

Field Type Required Default Description
url <class 'str'> No http://localhost:11434
refresh_models <class 'bool'> No False refresh and re-register models periodically
refresh_models_interval <class 'int'> No 300 interval in seconds to refresh models

Sample Configuration

url: ${env.OLLAMA_URL:=http://localhost:11434}