Ask Qwen Task

[annehaley]

This PR adds a new analytics task called "Imagery: Ask Qwen". The task accepts three inputs: 1) an imagery raster, 2) a text prompt, and 3) a max_tokens value (1k - 10k). The task leverages our first Huggingface inference endpoint, sending a lower resolution version of the imagery to the endpoint along with the question and returning the response to the user.

The screenshots below show some example runs on the boston orthoimagery layer:

To support the large markdown responses, this PR makes a slight change to the Analytics Panel in the client, using vue-markdown-render for a new output type "markdown".

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[brianhelba]

If you end up with any more of these, you can use some Terraform syntax like:

locals {
  huggingface_endpoint_names = {
    qwen = "qwen3-5-9b-gguf-ulh"
  }
}

module "django" {
  ...
  additional_django_vars = {
    ...
    DJANGO_UVDAT_HF_ENDPOINT_NAMES = join(",", [for k, v in local.huggingface_endpoint_names : "${k}=${v}"])
  }
}

Maybe it's overkill for now, but worth remembering in the future.

[annehaley]

Ok, thanks. I agree that we can use this in the future when we add more endpoints to the mapping.

[brianhelba]

2 minor suggestions inline, otherwise looks good.