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                    "label": "qwen-qwq-32b",
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                {
                    "label": "command-light-nightly",
                    "name": "command-light-nightly"
                },
                {
                    "label": "base",
                    "name": "base"
                },
                {
                    "label": "base-light",
                    "name": "base-light"
                }
            ]
        },
        {
            "name": "googlevertexai",
            "models": [
                {
                    "label": "text-bison",
                    "name": "text-bison",
                    "input_cost": 2.5e-7,
                    "output_cost": 5e-7
                },
                {
                    "label": "code-bison",
                    "name": "code-bison",
                    "input_cost": 2.5e-7,
                    "output_cost": 5e-7
                },
                {
                    "label": "code-gecko",
                    "name": "code-gecko",
                    "input_cost": 2.5e-7,
                    "output_cost": 5e-7
                },
                {
                    "label": "text-bison-32k",
                    "name": "text-bison-32k",
                    "input_cost": 2.5e-7,
                    "output_cost": 5e-7
                },
                {
                    "label": "code-bison-32k",
                    "name": "code-bison-32k",
                    "input_cost": 2.5e-7,
                    "output_cost": 5e-7
                },
                {
                    "label": "code-gecko-32k",
                    "name": "code-gecko-32k",
                    "input_cost": 2.5e-7,
                    "output_cost": 5e-7
                }
            ]
        },
        {
            "name": "openAI",
            "models": [
                {
                    "label": "gpt-3.5-turbo-instruct",
                    "name": "gpt-3.5-turbo-instruct",
                    "input_cost": 0.0000015,
                    "output_cost": 0.000002
                },
                {
                    "label": "babbage-002",
                    "name": "babbage-002",
                    "input_cost": 4e-7,
                    "output_cost": 0.0000016
                },
                {
                    "label": "davinci-002",
                    "name": "davinci-002",
                    "input_cost": 0.000006,
                    "output_cost": 0.000012
                }
            ]
        }
    ],
    "embedding": [
        {
            "name": "openAIEmbeddings",
            "models": [
                {
                    "label": "text-embedding-3-large",
                    "name": "text-embedding-3-large"
                },
                {
                    "label": "text-embedding-3-small",
                    "name": "text-embedding-3-small"
                },
                {
                    "label": "text-embedding-ada-002",
                    "name": "text-embedding-ada-002"
                }
            ]
        },
        {
            "name": "openAIEmbedding_LlamaIndex",
            "models": [
                {
                    "label": "text-embedding-3-large",
                    "name": "text-embedding-3-large"
                },
                {
                    "label": "text-embedding-3-small",
                    "name": "text-embedding-3-small"
                },
                {
                    "label": "text-embedding-ada-002",
                    "name": "text-embedding-ada-002"
                }
            ]
        },
        {
            "name": "mistralAIEmbeddings",
            "models": [
                {
                    "label": "mistral-embed",
                    "name": "mistral-embed"
                }
            ]
        },
        {
            "name": "voyageAIEmbeddings",
            "models": [
                {
                    "label": "voyage-3",
                    "name": "voyage-3",
                    "description": "High-performance embedding model with excellent retrieval quality, 32K token context, and 1024 dimension size."
                },
                {
                    "label": "voyage-3-lite",
                    "name": "voyage-3-lite",
                    "description": "Lightweight embedding model optimized for low latency and cost, 32K token context, and 512 dimension size."
                },
                {
                    "label": "voyage-2",
                    "name": "voyage-2",
                    "description": "General-purpose embedding model optimized for a balance between cost, latency, and retrieval quality."
                },
                {
                    "label": "voyage-code-2",
                    "name": "voyage-code-2",
                    "description": "Optimized for code retrieval."
                },
                {
                    "label": "voyage-finance-2",
                    "name": "voyage-finance-2",
                    "description": "Optimized for finance retrieval and RAG."
                },
                {
                    "label": "voyage-large-2",
                    "name": "voyage-large-2",
                    "description": "General-purpose embedding model that is optimized for retrieval quality."
                },
                {
                    "label": "voyage-large-2-instruct",
                    "name": "voyage-large-2-instruct",
                    "description": "Instruction-tuned general-purpose embedding model optimized for clustering, classification, and retrieval."
                },
                {
                    "label": "voyage-law-2",
                    "name": "voyage-law-2",
                    "description": "Optimized for legal and long-context retrieval and RAG. Also improved performance across all domains."
                },
                {
                    "label": "voyage-lite-02-instruct",
                    "name": "voyage-lite-02-instruct",
                    "description": "Instruction-tuned for classification, clustering, and sentence textual similarity tasks"
                },
                {
                    "label": "voyage-multilingual-2",
                    "name": "voyage-multilingual-2",
                    "description": "Optimized for multilingual retrieval and RAG."
                }
            ]
        },
        {
            "name": "googlevertexaiEmbeddings",
            "models": [
                {
                    "label": "multimodalembedding",
                    "name": "multimodalembedding"
                },
                {
                    "label": "text-embedding-004",
                    "name": "text-embedding-004"
                },
                {
                    "label": "text-multilingual-embedding-002",
                    "name": "text-multilingual-embedding-002"
                },
                {
                    "label": "textembedding-gecko@001",
                    "name": "textembedding-gecko@001"
                },
                {
                    "label": "textembedding-gecko@latest",
                    "name": "textembedding-gecko@latest"
                },
                {
                    "label": "textembedding-gecko-multilingual@latest",
                    "name": "textembedding-gecko-multilingual@latest"
                }
            ]
        },
        {
            "name": "googleGenerativeAiEmbeddings",
            "models": [
                {
                    "label": "embedding-001",
                    "name": "embedding-001"
                },
                {
                    "label": "text-embedding-004",
                    "name": "text-embedding-004"
                },
                {
                    "label": "gemini-embedding-exp-03-07",
                    "name": "gemini-embedding-exp-03-07"
                }
            ]
        },
        {
            "name": "cohereEmbeddings",
            "models": [
                {
                    "label": "embed-english-v3.0",
                    "name": "embed-english-v3.0",
                    "description": "Embedding Dimensions: 1024"
                },
                {
                    "label": "embed-english-light-v3.0",
                    "name": "embed-english-light-v3.0",
                    "description": "Embedding Dimensions: 384"
                },
                {
                    "label": "embed-multilingual-v3.0",
                    "name": "embed-multilingual-v3.0",
                    "description": "Embedding Dimensions: 1024"
                },
                {
                    "label": "embed-multilingual-light-v3.0",
                    "name": "embed-multilingual-light-v3.0",
                    "description": "Embedding Dimensions: 384"
                },
                {
                    "label": "embed-english-v2.0",
                    "name": "embed-english-v2.0",
                    "description": "Embedding Dimensions: 4096"
                },
                {
                    "label": "embed-english-light-v2.0",
                    "name": "embed-english-light-v2.0",
                    "description": "Embedding Dimensions: 1024"
                },
                {
                    "label": "embed-multilingual-v2.0",
                    "name": "embed-multilingual-v2.0",
                    "description": "Embedding Dimensions: 768"
                }
            ]
        },
        {
            "name": "AWSBedrockEmbeddings",
            "models": [
                {
                    "label": "amazon.titan-embed-text-v1",
                    "name": "amazon.titan-embed-text-v1",
                    "description": "Embedding Dimensions: 1536"
                },
                {
                    "label": "amazon.titan-embed-text-v2",
                    "name": "amazon.titan-embed-text-v2:0",
                    "description": "Embedding Dimensions: 1024"
                },
                {
                    "label": "amazon.titan-embed-g1-text-02",
                    "name": "amazon.titan-embed-g1-text-02",
                    "description": "Embedding Dimensions: 1536"
                },
                {
                    "label": "cohere.embed-english-v3",
                    "name": "cohere.embed-english-v3",
                    "description": "Embedding Dimensions: 1024"
                },
                {
                    "label": "cohere.embed-multilingual-v3",
                    "name": "cohere.embed-multilingual-v3",
                    "description": "Embedding Dimensions: 1024"
                }
            ],
            "regions": [
                {
                    "label": "af-south-1",
                    "name": "af-south-1"
                },
                {
                    "label": "ap-east-1",
                    "name": "ap-east-1"
                },
                {
                    "label": "ap-northeast-1",
                    "name": "ap-northeast-1"
                },
                {
                    "label": "ap-northeast-2",
                    "name": "ap-northeast-2"
                },
                {
                    "label": "ap-northeast-3",
                    "name": "ap-northeast-3"
                },
                {
                    "label": "ap-south-1",
                    "name": "ap-south-1"
                },
                {
                    "label": "ap-south-2",
                    "name": "ap-south-2"
                },
                {
                    "label": "ap-southeast-1",
                    "name": "ap-southeast-1"
                },
                {
                    "label": "ap-southeast-2",
                    "name": "ap-southeast-2"
                },
                {
                    "label": "ap-southeast-3",
                    "name": "ap-southeast-3"
                },
                {
                    "label": "ap-southeast-4",
                    "name": "ap-southeast-4"
                },
                {
                    "label": "ap-southeast-5",
                    "name": "ap-southeast-5"
                },
                {
                    "label": "ap-southeast-6",
                    "name": "ap-southeast-6"
                },
                {
                    "label": "ca-central-1",
                    "name": "ca-central-1"
                },
                {
                    "label": "ca-west-1",
                    "name": "ca-west-1"
                },
                {
                    "label": "cn-north-1",
                    "name": "cn-north-1"
                },
                {
                    "label": "cn-northwest-1",
                    "name": "cn-northwest-1"
                },
                {
                    "label": "eu-central-1",
                    "name": "eu-central-1"
                },
                {
                    "label": "eu-central-2",
                    "name": "eu-central-2"
                },
                {
                    "label": "eu-north-1",
                    "name": "eu-north-1"
                },
                {
                    "label": "eu-south-1",
                    "name": "eu-south-1"
                },
                {
                    "label": "eu-south-2",
                    "name": "eu-south-2"
                },
                {
                    "label": "eu-west-1",
                    "name": "eu-west-1"
                },
                {
                    "label": "eu-west-2",
                    "name": "eu-west-2"
                },
                {
                    "label": "eu-west-3",
                    "name": "eu-west-3"
                },
                {
                    "label": "il-central-1",
                    "name": "il-central-1"
                },
                {
                    "label": "me-central-1",
                    "name": "me-central-1"
                },
                {
                    "label": "me-south-1",
                    "name": "me-south-1"
                },
                {
                    "label": "sa-east-1",
                    "name": "sa-east-1"
                },
                {
                    "label": "us-east-1",
                    "name": "us-east-1"
                },
                {
                    "label": "us-east-2",
                    "name": "us-east-2"
                },
                {
                    "label": "us-gov-east-1",
                    "name": "us-gov-east-1"
                },
                {
                    "label": "us-gov-west-1",
                    "name": "us-gov-west-1"
                },
                {
                    "label": "us-west-1",
                    "name": "us-west-1"
                },
                {
                    "label": "us-west-2",
                    "name": "us-west-2"
                }
            ]
        }
    ]
}