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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`
21 lines
582 B
Markdown
21 lines
582 B
Markdown
# remote::ollama
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## Description
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Ollama inference provider for running local models through the Ollama runtime.
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## Configuration
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| Field | Type | Required | Default | Description |
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|-------|------|----------|---------|-------------|
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| `url` | `<class 'str'>` | No | http://localhost:11434 | |
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| `refresh_models` | `<class 'bool'>` | No | False | refresh and re-register models periodically |
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| `refresh_models_interval` | `<class 'int'>` | No | 300 | interval in seconds to refresh models |
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## Sample Configuration
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```yaml
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url: ${env.OLLAMA_URL:=http://localhost:11434}
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```
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