Initial public ModelForge release
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capability: assistant.general
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version: 1
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description: General local text and multimodal assistant workloads.
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input_schema:
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type: object
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required: [messages]
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properties:
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messages: {type: array, minItems: 1}
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response_schema: {type: object}
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output_schema:
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type: object
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required: [content]
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properties:
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content: {type: string}
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structured_output: {type: object}
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tool_calls: {type: array}
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modalities: {input: [text, image], output: [text, json, tool_call]}
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languages: [nl, en]
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streaming: true
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structured_output: true
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quality_metrics: [task_success, instruction_following, structured_output_validity]
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upgrade_class: behavioral
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: interactive
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default_residency: keep_warm
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estate:
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category: ASSISTANTS
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purpose: Future local general assistant contract; not an M9 executable baseline.
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stability: planned
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resource_class: EXCLUSIVE_GPU
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evaluation_type: llm
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consumers: [example-ops]
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payload_limits: {max_bytes: 262144, max_batch_count: 1}
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capability: assistant.vision
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version: 1
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description: Visual question answering and structured image reasoning.
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input_schema: {type: object, required: [image, prompt], properties: {image: {type: string}, prompt: {type: string}}}
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output_schema: {type: object, required: [content], properties: {content: {type: string}, structured_output: {type: object}}}
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modalities: {input: [image, text], output: [text, json]}
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languages: [nl, en]
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streaming: false
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structured_output: true
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quality_metrics: [task_success, structured_output_validity]
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upgrade_class: behavioral
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: interactive
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default_residency: load_on_demand
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estate:
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category: ASSISTANTS
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purpose: Future local image reasoning contract; not an M9 executable baseline.
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stability: planned
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resource_class: EXCLUSIVE_GPU
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evaluation_type: llm
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consumers: [examplevision, example-ops]
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payload_limits: {max_bytes: 8388608, max_batch_count: 1, max_width: 4096, max_height: 4096}
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@@ -0,0 +1,38 @@
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capability: document.ocr
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version: 1
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description: OCR and structured document extraction.
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input_schema:
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type: object
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additionalProperties: false
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required: [content_base64, media_type]
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properties:
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content_base64: {type: string, minLength: 4, maxLength: 11184812}
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media_type: {enum: [image/png, image/jpeg]}
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language_hint: {enum: [nl, en, auto]}
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output_schema:
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type: object
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additionalProperties: false
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required: [text, pages]
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properties:
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text: {type: string}
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pages: {type: array, minItems: 1, maxItems: 1}
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blocks: {type: array}
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confidence: {type: [number, 'null']}
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modalities: {input: [image, document], output: [text, json]}
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languages: [nl, en]
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structured_output: true
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quality_metrics: [cer, wer, field_accuracy, layout_accuracy]
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upgrade_class: schema_breaking
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: restricted, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: background
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default_residency: load_on_demand
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estate:
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category: DOCUMENT
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purpose: Offline text extraction from bounded local document images.
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stability: experimental
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resource_class: MEDIUM
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evaluation_type: ocr
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consumers: [examplerag, examplevision, example-ops]
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payload_limits: {max_bytes: 8388608, max_batch_count: 1, max_width: 4096, max_height: 4096, max_pages: 1}
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@@ -0,0 +1,40 @@
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capability: rag.embedding
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version: 1
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description: Multilingual text embeddings for semantic retrieval.
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input_schema:
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type: object
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additionalProperties: false
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required: [input]
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properties:
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input:
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oneOf:
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- {type: string, minLength: 1, maxLength: 8192}
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- {type: array, items: {type: string, minLength: 1, maxLength: 8192}, minItems: 1, maxItems: 8}
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output_schema:
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type: object
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additionalProperties: false
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required: [vectors, dimension, normalized, embedding_space_id]
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properties:
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vectors: {type: array, minItems: 1, maxItems: 8, items: {type: array, minItems: 1024, maxItems: 1024, items: {type: number}}}
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dimension: {const: 1024}
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normalized: {const: true}
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embedding_space_id: {type: string, format: uuid}
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modalities: {input: [text], output: [vector]}
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languages: [nl, en]
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vector: {dimensionality: 1024, normalized: true, cross_deployment_compatible: false}
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slo: {latency_p95_ms: 15000, availability_percent: 99.0, max_concurrency: 1}
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quality_metrics: [recall_at_5, recall_at_10, mrr, ndcg_at_10]
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upgrade_class: requires_reindex
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: production
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default_residency: keep_warm
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estate:
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category: RAG
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purpose: Multilingual semantic retrieval for local knowledge projects.
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stability: stable
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resource_class: MEDIUM
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evaluation_type: retrieval
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consumers: [examplerag, portfolio-assistant]
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payload_limits: {max_bytes: 65536, max_batch_count: 8}
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capability: rag.reranking
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version: 1
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description: Second-stage ranking of retrieved text candidates.
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input_schema:
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type: object
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additionalProperties: false
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required: [query, documents, top_n]
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properties:
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query: {type: string, minLength: 1, maxLength: 4000}
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documents:
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type: array
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minItems: 1
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maxItems: 40
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items:
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type: object
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additionalProperties: false
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required: [id, text]
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properties:
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id: {type: string, minLength: 1, maxLength: 255}
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text: {type: string, minLength: 1, maxLength: 16384}
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top_n: {type: integer, minimum: 1, maximum: 10}
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output_schema:
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type: object
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additionalProperties: false
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required: [results]
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properties:
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results:
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type: array
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maxItems: 10
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items:
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type: object
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additionalProperties: false
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required: [id, score, rank]
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properties:
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id: {type: string}
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score: {type: number}
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rank: {type: integer, minimum: 1, maximum: 10}
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modalities: {input: [text], output: [score]}
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languages: [nl, en]
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quality_metrics: [mrr, ndcg_at_10, ranking_accuracy]
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upgrade_class: behavioral
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: production
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default_residency: load_on_demand
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estate:
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category: RAG
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purpose: Evidence-gated second-stage ranking for retrieval pipelines.
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stability: experimental
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resource_class: MEDIUM
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evaluation_type: retrieval
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consumers: [examplerag]
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payload_limits: {max_bytes: 262144, max_batch_count: 40}
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@@ -0,0 +1,39 @@
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capability: speech.transcription
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version: 1
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description: Offline bounded speech-to-text transcription.
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input_schema:
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type: object
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additionalProperties: false
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required: [audio_base64, media_type]
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properties:
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audio_base64: {type: string, minLength: 4, maxLength: 22369624}
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media_type: {const: audio/wav}
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language: {enum: [nl, en, fr, auto]}
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output_schema:
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type: object
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additionalProperties: false
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required: [text, language, duration_seconds]
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properties:
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text: {type: string}
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language: {type: string}
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duration_seconds: {type: number}
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segments: {type: array}
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modalities: {input: [audio], output: [text, json]}
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languages: [nl, en, fr]
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streaming: false
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structured_output: true
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quality_metrics: [wer, real_time_factor]
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upgrade_class: behavioral
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: restricted, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: background
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default_residency: load_on_demand
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estate:
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category: AUDIO
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purpose: Private local transcription of bounded WAV audio without cloud fallback.
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stability: experimental
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resource_class: HEAVY
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evaluation_type: asr
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consumers: []
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payload_limits: {max_bytes: 16777216, max_batch_count: 1, max_duration_seconds: 120}
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@@ -0,0 +1,39 @@
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capability: vision.embedding
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version: 1
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description: Image/text embeddings for visual retrieval.
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input_schema:
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type: object
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additionalProperties: false
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required: [items]
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properties:
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items:
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type: array
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minItems: 1
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maxItems: 4
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items:
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oneOf:
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- {type: object, additionalProperties: false, required: [image_base64, media_type], properties: {image_base64: {type: string}, media_type: {enum: [image/png, image/jpeg]}}}
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- {type: object, additionalProperties: false, required: [text], properties: {text: {type: string, minLength: 1, maxLength: 4096}}}
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output_schema:
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type: object
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required: [vectors]
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properties:
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vectors: {type: array, items: {type: array, items: {type: number}}}
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modalities: {input: [image, text], output: [vector]}
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languages: [nl, en]
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vector: {dimensionality: null, normalized: null, cross_deployment_compatible: false}
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quality_metrics: [recall_at_1, recall_at_5, recall_at_10, mrr]
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upgrade_class: requires_reindex
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: interactive
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default_residency: load_on_demand
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estate:
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category: VISION
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purpose: Shared image and text vector space for local visual retrieval.
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stability: experimental
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resource_class: HEAVY
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evaluation_type: visual-retrieval
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consumers: [examplevision]
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payload_limits: {max_bytes: 8388608, max_batch_count: 4, max_width: 4096, max_height: 4096}
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