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chore(api): accurately represent shape for verbosity on Chat Completions
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+189
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‎.stats.yml‎

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configured_endpoints: 111
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-24be531010b354303d741fc9247c1f84f75978f9f7de68aca92cb4f240a04722.yml
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openapi_spec_hash: 3e46f439f6a863beadc71577eb4efa15
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config_hash: ed87b9139ac595a04a2162d754df2fed
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-7ef7a457c3bf05364e66e48c9ca34f31bfef1f6c9b7c15b1812346105e0abb16.yml
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openapi_spec_hash: a2b1f5d8fbb62175c93b0ebea9f10063
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config_hash: 76afa3236f36854a8705f1281b1990b8

‎openai-java-core/src/main/kotlin/com/openai/models/chat/completions/ChatCompletionCreateParams.kt‎

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‎openai-java-core/src/main/kotlin/com/openai/models/evals/EvalCreateParams.kt‎

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.build()
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
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* unexpectedly missing or null (e.g. if the server responded with an unexpected
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}
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*/
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fun evaluationMetric(evaluationMetric: TextSimilarityGrader.EvaluationMetric) =
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evaluationMetric(JsonField.of(evaluationMetric))

‎openai-java-core/src/main/kotlin/com/openai/models/evals/EvalCreateResponse.kt‎

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.build()
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
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* unexpectedly missing or null (e.g. if the server responded with an unexpected
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}
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*/
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fun evaluationMetric(evaluationMetric: TextSimilarityGrader.EvaluationMetric) =
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evaluationMetric(JsonField.of(evaluationMetric))

‎openai-java-core/src/main/kotlin/com/openai/models/evals/EvalListResponse.kt‎

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.build()
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
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* unexpectedly missing or null (e.g. if the server responded with an unexpected
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}
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*/
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fun evaluationMetric(evaluationMetric: TextSimilarityGrader.EvaluationMetric) =
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evaluationMetric(JsonField.of(evaluationMetric))

‎openai-java-core/src/main/kotlin/com/openai/models/evals/EvalRetrieveResponse.kt‎

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.build()
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
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* unexpectedly missing or null (e.g. if the server responded with an unexpected
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}
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*/
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fun evaluationMetric(evaluationMetric: TextSimilarityGrader.EvaluationMetric) =
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evaluationMetric(JsonField.of(evaluationMetric))

‎openai-java-core/src/main/kotlin/com/openai/models/evals/EvalUpdateResponse.kt‎

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.build()
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
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* unexpectedly missing or null (e.g. if the server responded with an unexpected
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}
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`,
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* `meteor`, `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*/
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fun evaluationMetric(evaluationMetric: TextSimilarityGrader.EvaluationMetric) =
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evaluationMetric(JsonField.of(evaluationMetric))

‎openai-java-core/src/main/kotlin/com/openai/models/graders/gradermodels/TextSimilarityGrader.kt‎

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) : this(evaluationMetric, input, name, reference, type, mutableMapOf())
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`, `rouge_1`,
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* `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type or is
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* unexpectedly missing or null (e.g. if the server responded with an unexpected value).
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`, `rouge_1`,
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* `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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fun evaluationMetric(evaluationMetric: EvaluationMetric) =
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evaluationMetric(JsonField.of(evaluationMetric))
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type.let { if (it == JsonValue.from("text_similarity")) 1 else 0 }
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/**
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* The evaluation metric to use. One of `fuzzy_match`, `bleu`, `gleu`, `meteor`, `rouge_1`,
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* `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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* The evaluation metric to use. One of `cosine`, `fuzzy_match`, `bleu`, `gleu`, `meteor`,
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* `rouge_1`, `rouge_2`, `rouge_3`, `rouge_4`, `rouge_5`, or `rouge_l`.
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*/
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class EvaluationMetric @JsonCreator private constructor(private val value: JsonField<String>) :
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Enum {
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companion object {
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@JvmField val COSINE = of("cosine")
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@JvmField val FUZZY_MATCH = of("fuzzy_match")
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@JvmField val BLEU = of("bleu")
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/** An enum containing [EvaluationMetric]'s known values. */
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enum class Known {
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COSINE,
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GLEU,
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enum class Value {
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fun value(): Value =
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BLEU -> Value.BLEU
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fun known(): Known =
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COSINE -> Known.COSINE
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FUZZY_MATCH -> Known.FUZZY_MATCH
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BLEU -> Known.BLEU
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GLEU -> Known.GLEU

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