Python: migrate GH Action dependencies for Ollama model downloads, move to Azure assets

[moonbox3]

During SK integration tests, we perform 5 Ollama model pulls:

ollama pull ${{ vars.OLLAMA_CHAT_MODEL_ID }}
ollama pull ${{ vars.OLLAMA_CHAT_MODEL_ID_IMAGE }}
ollama pull ${{ vars.OLLAMA_CHAT_MODEL_ID_TOOL_CALL }}
ollama pull ${{ vars.OLLAMA_TEXT_MODEL_ID }}
ollama pull ${{ vars.OLLAMA_EMBEDDING_MODEL_ID }}

This puts a lot of stress on the network, is prone to failure, and adds latency. For example, here's a failure: https://github.com/microsoft/semantic-kernel/actions/runs/11685739831/job/32539906324#step:10:966.

We do need coverage for AI connectors; however, it may make more sense to deploy one Azure resource that Ollama can use to handle all the chat completion related operations, and one embedding model for those tests.

[moonbox3]

This model may work for the tool call scenario: https://ollama.com/library/smollm2:135m or this small one: https://ollama.com/library/moondream

[github-actions]

This issue is stale because it has been open for 90 days with no activity.

[github-actions]

This issue was closed because it has been inactive for 14 days since being marked as stale.