naftiko: 1.0.0-alpha2 info: label: Lucidworks Embeddings and Classification API — Tokenization description: 'Lucidworks Embeddings and Classification API — Tokenization. 1 operations. Lead operation: Tokenize text. Self-contained Naftiko capability covering one Lucidworks business surface.' tags: - Lucidworks - Tokenization created: '2026-05-19' modified: '2026-05-19' binds: - namespace: env keys: LUCIDWORKS_API_KEY: LUCIDWORKS_API_KEY capability: consumes: - type: http namespace: embeddings-tokenization baseUri: https://api.lucidworks.ai description: Lucidworks Embeddings and Classification API — Tokenization business capability. Self-contained, no shared references. resources: - name: ai-tokenize-modelId path: /ai/tokenize/{modelId} operations: - name: tokenize method: POST description: Tokenize text outputRawFormat: json outputParameters: - name: result type: object value: $. inputParameters: - name: modelId in: path type: string required: true - name: body in: body type: object description: Request body (JSON). required: true authentication: type: bearer token: '{{env.LUCIDWORKS_API_KEY}}' exposes: - type: rest namespace: embeddings-tokenization-rest port: 8080 description: REST adapter for Lucidworks Embeddings and Classification API — Tokenization. One Spectral-compliant resource per consumed operation, prefixed with /v1. resources: - path: /v1/ai/tokenize/{modelid} name: ai-tokenize-modelid description: REST surface for ai-tokenize-modelId. operations: - method: POST name: tokenize description: Tokenize text call: embeddings-tokenization.tokenize with: modelId: rest.modelId body: rest.body outputParameters: - type: object mapping: $. - type: mcp namespace: embeddings-tokenization-mcp port: 9090 transport: http description: MCP adapter for Lucidworks Embeddings and Classification API — Tokenization. One tool per consumed operation, routed inline through this capability's consumes block. tools: - name: tokenize-text description: Tokenize text hints: readOnly: false destructive: false idempotent: false call: embeddings-tokenization.tokenize with: modelId: tools.modelId body: tools.body outputParameters: - type: object mapping: $.