# The embedding model of the decision engine's local memory (learned-decision-engine design 4.1-4.2, Req 3.2).
# OpenRouter serves embeddings only; the chat model stays DeepSeek. `openrouter` is not an ax provider, so the
# annotation declares the extension. `secretKey` names the Kubernetes Secret and key that hold OPENROUTER_API_KEY;
# the key itself is never in a manifest. Prices in USD per million tokens: embeddings bill input only, so the cache
# and output rates are 0 and `plane.budget.MeteredEmbeddingClient` prices the provider's `usage.prompt_tokens`.
apiVersion: ax.io/v1alpha1
kind: Model
metadata:
  name: openrouter-embedding
  atespace: default   # ax's own name for the namespace field (plane/manifests.py)
  annotations:
    openultrasast.io/provider-extension: "true"
    openultrasast.io/egress-hosts: "openrouter.ai"   # provider.openrouter base URL; the embed task's only model egress
spec:
  provider: openrouter
  model: openai/text-embedding-3-small
  secretKey:
    name: openrouter
    key: OPENROUTER_API_KEY
  parameters:
    cache_hit_per_m: 0
    input_per_m: 0.02
    output_per_m: 0
    dimensions: 1536