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feat: add refresh_models support to inference adapters (default: false) (#3719)

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# What does this PR do?

inference adapters can now configure `refresh_models: bool` to control
periodic model listing from their providers

BREAKING CHANGE: together inference adapter default changed. previously
always refreshed, now follows config.

addresses "models: refresh" on #3517

## Test Plan

ci w/ new tests
This commit is contained in:
Matthew Farrellee 2025-10-07 09:19:56 -04:00 • committed by GitHub
parent 8b9af03a1b
commit e892a3f7f4
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31 changed files with 33 additions and 67 deletions
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6
llama_stack/providers/remote/inference/ollama/config.py
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@ -6,8 +6,6 @@
from typing import Any
from pydantic import Field
from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig
DEFAULT_OLLAMA_URL = "http://localhost:11434"
@ -15,10 +13,6 @@ DEFAULT_OLLAMA_URL = "http://localhost:11434"
class OllamaImplConfig(RemoteInferenceProviderConfig):
url: str = DEFAULT_OLLAMA_URL
refresh_models: bool = Field(
default=False,
description="Whether to refresh models periodically",
)
@classmethod
def sample_run_config(cls, url: str = "${env.OLLAMA_URL:=http://localhost:11434}", **kwargs) -> dict[str, Any]: