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Marius CiepluchandClaude Opus 5.5
98fa4ec8cd
plane/models/openrouter-embedding.yaml: openai/text-embedding-3-small via OpenRouter (embeddings only), input_per_m 0.02, cache/output 0, egress openrouter.ai; `openrouter` joins the provider extensions. plane/budget.py MeteredEmbeddingClient: prompt_tokens priced from the Model manifest, usd/calls ceilings stop the next call, a priced call that reports no tokens raises UnmeteredUsage (a silent zero is an instrument failure). OpenRouterEmbeddingClient keeps one usage row per call (parse_embedding_payload); its api key is out of repr. learn/embeddings.py + `ousast learn memory embed`: excerpts embedded in batches into embeddings/<model-slug>/<excerpt_sha>.json (float32 base64), cached by content hash so a rerun makes no call; the declared dimension is checked; --dry-run estimates tokens and cost without a call; a paid run needs --budget-usd and exits 3 (unfinished) at its ceiling. Not run against the provider: the store embedding waits for its budget go-ahead. Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01EmM1j46qgKMh3zqD1QMwEo
25 lines
1.1 KiB
YAML
25 lines
1.1 KiB
YAML
# The embedding model of the decision engine's local memory (learned-decision-engine design 4.1-4.2, Req 3.2).
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# OpenRouter serves embeddings only; the chat model stays DeepSeek. `openrouter` is not an ax provider, so the
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# annotation declares the extension. `secretKey` names the Kubernetes Secret and key that hold OPENROUTER_API_KEY;
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# the key itself is never in a manifest. Prices in USD per million tokens: embeddings bill input only, so the cache
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# and output rates are 0 and `plane.budget.MeteredEmbeddingClient` prices the provider's `usage.prompt_tokens`.
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apiVersion: ax.io/v1alpha1
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kind: Model
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metadata:
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name: openrouter-embedding
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atespace: default # ax's own name for the namespace field (plane/manifests.py)
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annotations:
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openultrasast.io/provider-extension: "true"
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openultrasast.io/egress-hosts: "openrouter.ai" # provider.openrouter base URL; the embed task's only model egress
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spec:
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provider: openrouter
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model: openai/text-embedding-3-small
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secretKey:
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name: openrouter
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key: OPENROUTER_API_KEY
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parameters:
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cache_hit_per_m: 0
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input_per_m: 0.02
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output_per_m: 0
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dimensions: 1536
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