{"version":3,"sources":["../../../../src/adapters/ollama/backend/embedding.ts"],"names":["OllamaEmbeddingModel","VercelEmbeddingModel","modelId","getEnv","settings","client","model","OllamaClient","ensure","instance","embedding"],"mappings":";;;;;;;;AAcO,MAAMA,6BAA6BC,kCAAAA,CAAAA;EAd1C;;;EAeE,WAAA,CACEC,OAAAA,GAAkCC,eAAO,wBAAA,EAA0B,kBAAA,GACnEC,QAAAA,GAAyC,IACzCC,MAAAA,EACA;AACA,IAAA,MAAMC,KAAAA,GAAQC,wBAAaC,MAAAA,CAAOH,MAAAA,EAAQI,QAAAA,CAASC,SAAAA,CAAUR,SAASE,QAAAA,CAAAA;AACtE,IAAA,KAAA,CAAME,KAAAA,CAAAA;AACR,EAAA;AACF","file":"embedding.cjs","sourcesContent":["/**\n * Copyright 2025 © BeeAI a Series of LF Projects, LLC\n * SPDX-License-Identifier: Apache-2.0\n */\n\nimport { OllamaProvider } from \"ollama-ai-provider-v2\";\nimport { OllamaClient, OllamaClientSettings } from \"@/adapters/ollama/backend/client.js\";\nimport { VercelEmbeddingModel } from \"@/adapters/vercel/backend/embedding.js\";\nimport { getEnv } from \"@/internals/env.js\";\n\ntype OllamaParameters = Parameters<OllamaProvider[\"textEmbeddingModel\"]>;\nexport type OllamaEmbeddingModelId = NonNullable<OllamaParameters[0]>;\nexport type OllamaEmbeddingModelSettings = NonNullable<OllamaParameters[1]>;\n\nexport class OllamaEmbeddingModel extends VercelEmbeddingModel {\n  constructor(\n    modelId: OllamaEmbeddingModelId = getEnv(\"OLLAMA_EMBEDDING_MODEL\", \"nomic-embed-text\"),\n    settings: OllamaEmbeddingModelSettings = {},\n    client?: OllamaClient | OllamaClientSettings,\n  ) {\n    const model = OllamaClient.ensure(client).instance.embedding(modelId, settings);\n    super(model);\n  }\n}\n"]}