vertexai

var EmbedMode_multilang_002 = bellman.EmbedModel{
	Name:             "text-multilingual-embedding-002",
	Description:      "see https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api",
	InputMaxTokens:   2048,
	OutputDimensions: 768,
}

var EmbedModel_text_004 = bellman.EmbedModel{
	Name:             "text-embedding-004",
	Description:      "see https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api",
	InputMaxTokens:   2048,
	OutputDimensions: 768,
}

var EmbedModel_text_005 = bellman.EmbedModel{
	Name:             "text-embedding-005",
	Description:      "see https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api",
	InputMaxTokens:   2048,
	OutputDimensions: 768,
}

var EmbedModel_text_gecko_001 = bellman.EmbedModel{
	Name:             "textembedding-gecko@001",
	Description:      "see https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api",
	InputMaxTokens:   2048,
	OutputDimensions: 768,
}

var EmbedModel_text_gecko_003 = bellman.EmbedModel{
	Name:             "textembedding-gecko@003",
	Description:      "see https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api",
	InputMaxTokens:   2048,
	OutputDimensions: 768,
}

var EmbedModel_text_gecko_multilang_001 = bellman.EmbedModel{
	Name:             "textembedding-gecko-multilingual@001",
	Description:      "see https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api",
	InputMaxTokens:   2048,
	OutputDimensions: 768,
}

var EmbedModels = map[string]bellman.EmbedModel{
	EmbedModel_text_005.Name:                 EmbedModel_text_005,
	EmbedModel_text_004.Name:                 EmbedModel_text_004,
	EmbedMode_multilang_002.Name:             EmbedMode_multilang_002,
	EmbedModel_text_gecko_001.Name:           EmbedModel_text_gecko_001,
	EmbedModel_text_gecko_003.Name:           EmbedModel_text_gecko_003,
	EmbedModel_text_gecko_multilang_001.Name: EmbedModel_text_gecko_multilang_001,
}

var GenModel_gemini_1_5_flash = bellman.GenModel{
	Name:                    "gemini-1.5-flash",
	Description:             "Fast and versatile performance across a diverse variety of tasks",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_flash_001 = bellman.GenModel{
	Name:                    "gemini-1.5-flash-002",
	Description:             "Fast and versatile performance across a diverse variety of tasks",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_flash_002 = bellman.GenModel{
	Name:                    "gemini-1.5-flash-001",
	Description:             "Fast and versatile performance across a diverse variety of tasks",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_flash_8b = bellman.GenModel{
	Name:                    "gemini-1.5-flash-8b",
	Description:             "High volume and lower intelligence tasks",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_flash_8b_001 = bellman.GenModel{
	Name:                    "gemini-1.5-flash-8b-001",
	Description:             "High volume and lower intelligence tasks",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_pro = bellman.GenModel{
	Name:                    "gemini-1.5-pro",
	Description:             "Complex reasoning tasks requiring more intelligence",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_pro_001 = bellman.GenModel{
	Name:                    "gemini-1.5-pro-001",
	Description:             "Complex reasoning tasks requiring more intelligence",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_1_5_pro_002 = bellman.GenModel{
	Name:                    "gemini-1.5-pro-002",
	Description:             "Complex reasoning tasks requiring more intelligence",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModel_gemini_Experiment_114 = bellman.GenModel{
	Name:                    "gemini-exp-1114",
	Description:             "",
	InputContentTypes:       nil,
	InputMaxToken:           0,
	OutputMaxToken:          0,
	SupportTools:            false,
	SupportStructuredOutput: false,
}

var GenModels = map[string]bellman.GenModel{
	GenModel_gemini_Experiment_114.Name:   GenModel_gemini_Experiment_114,
	GenModel_gemini_1_5_flash.Name:        GenModel_gemini_1_5_flash,
	GenModel_gemini_1_5_flash_001.Name:    GenModel_gemini_1_5_flash_001,
	GenModel_gemini_1_5_flash_002.Name:    GenModel_gemini_1_5_flash_002,
	GenModel_gemini_1_5_flash_8b.Name:     GenModel_gemini_1_5_flash_8b,
	GenModel_gemini_1_5_flash_8b_001.Name: GenModel_gemini_1_5_flash_8b_001,
	GenModel_gemini_1_5_pro.Name:          GenModel_gemini_1_5_pro,
	GenModel_gemini_1_5_pro_002.Name:      GenModel_gemini_1_5_pro_002,
	GenModel_gemini_1_5_pro_001.Name:      GenModel_gemini_1_5_pro_001,
}