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Copy file name to clipboardExpand all lines: clients/ts-sdk/openapi.json
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"description": "The temperature to use",
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"nullable": true
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},
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"TOOL_CONFIGURATION": {
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"allOf": [
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{
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"$ref": "#/components/schemas/ToolConfiguration"
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}
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],
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"nullable": true
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},
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"USE_MESSAGE_TO_QUERY_PROMPT": {
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"type": "boolean",
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"description": "Whether to use the message to query prompt",
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"lte": 1
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}
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},
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"QueryToolOptions": {
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"type": "object",
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"properties": {
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"max_price_option_description": {
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"type": "string",
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"nullable": true
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},
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"min_price_option_description": {
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"type": "string",
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"nullable": true
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},
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"price_filter_description": {
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"type": "string",
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"nullable": true
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},
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"query_parameter_description": {
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"type": "string",
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"nullable": true
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},
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"tool_description": {
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"type": "string",
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"nullable": true
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}
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}
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},
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"QueryTypes": {
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"oneOf": [
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{
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],
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"description": "Specifies which tokenizer to use for the chunking process.\n\nThis type supports two ways of specifying a tokenizer:\n1. Using a predefined tokenizer from the `Tokenizer` enum\n2. Using any Hugging Face tokenizer by providing its model ID as a string\n(e.g. \"facebook/bart-large\", \"Qwen/Qwen-tokenizer\", etc.)\n\nWhen using a string, any valid Hugging Face tokenizer ID can be specified,\nwhich will be loaded using the Hugging Face tokenizers library."
Copy file name to clipboardExpand all lines: clients/ts-sdk/src/types.gen.ts
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@@ -1454,6 +1454,7 @@ export type DatasetConfigurationDTO = {
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* The temperature to use
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*/
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TEMPERATURE?: (number)|null;
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TOOL_CONFIGURATION?: ((ToolConfiguration)|null);
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/**
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* Whether to use the message to query prompt
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*/
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lte?: (number)|null;
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};
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exporttypeQueryToolOptions={
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max_price_option_description?: (string)|null;
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min_price_option_description?: (string)|null;
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price_filter_description?: (string)|null;
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query_parameter_description?: (string)|null;
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tool_description?: (string)|null;
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};
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/**
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* Query is the search query. This can be any string. The query will be used to create an embedding vector and/or SPLADE vector which will be used to find the result set. You can either provide one query, or multiple with weights. Multi-query only works with Semantic Search and is not compatible with cross encoder re-ranking or highlights.
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*/
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