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feat(api): add reusable prompt IDs
1 parent 426527b commit 0767a2b

27 files changed

+1649
-84
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‎.stats.yml‎

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configured_endpoints: 86
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-3ae9c18dd7ccfc3ac5206f24394665f563a19015cfa8847b2801a2694d012abc.yml
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openapi_spec_hash: 48175b03b58805cd5c80793c66fd54e5
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config_hash: 4caff63b74a41f71006987db702f2918
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-9e41d2d5471d2c28bff0d616f4476f5b0e6c541ef4cb51bdaaef5fdf5e13c8b2.yml
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openapi_spec_hash: 86f765e18d00e32cf2ce9db7ab84d946
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config_hash: fd2af1d5eff0995bb7dc02ac9a34851d

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

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@JvmField val FLEX = of("flex")
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@JvmField val SCALE = of("scale")
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@JvmStatic fun of(value: String) = ServiceTier(JsonField.of(value))
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}
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AUTO,
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DEFAULT,
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FLEX,
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SCALE,
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}
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/**
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AUTO,
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DEFAULT,
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FLEX,
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SCALE,
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/**
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* An enum member indicating that [ServiceTier] was instantiated with an unknown value.
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*/
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AUTO -> Value.AUTO
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DEFAULT -> Value.DEFAULT
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FLEX -> Value.FLEX
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SCALE -> Value.SCALE
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else -> Value._UNKNOWN
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}
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AUTO -> Known.AUTO
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DEFAULT -> Known.DEFAULT
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FLEX -> Known.FLEX
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SCALE -> Known.SCALE
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else -> throw OpenAIInvalidDataException("Unknown ServiceTier: $value")
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}
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‎openai-java-core/src/main/kotlin/com/openai/models/chat/completions/ChatCompletionChunk.kt‎

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@JvmField val FLEX = of("flex")
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@JvmField val SCALE = of("scale")
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@JvmStatic fun of(value: String) = ServiceTier(JsonField.of(value))
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}
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AUTO,
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DEFAULT,
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FLEX,
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SCALE,
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}
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/**
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AUTO,
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DEFAULT,
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FLEX,
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SCALE,
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/**
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* An enum member indicating that [ServiceTier] was instantiated with an unknown value.
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*/
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AUTO -> Value.AUTO
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DEFAULT -> Value.DEFAULT
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FLEX -> Value.FLEX
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SCALE -> Value.SCALE
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else -> Value._UNKNOWN
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}
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AUTO -> Known.AUTO
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DEFAULT -> Known.DEFAULT
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FLEX -> Known.FLEX
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SCALE -> Known.SCALE
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else -> throw OpenAIInvalidDataException("Unknown ServiceTier: $value")
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}
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‎openai-java-core/src/main/kotlin/com/openai/models/chat/completions/ChatCompletionCreateParams.kt‎

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@JvmField val FLEX = of("flex")
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@JvmField val SCALE = of("scale")
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@JvmStatic fun of(value: String) = ServiceTier(JsonField.of(value))
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}
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AUTO,
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SCALE,
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}
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/**
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/**
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* An enum member indicating that [ServiceTier] was instantiated with an unknown value.
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*/
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AUTO -> Value.AUTO
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DEFAULT -> Value.DEFAULT
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FLEX -> Value.FLEX
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SCALE -> Value.SCALE
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else -> Value._UNKNOWN
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}
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AUTO -> Known.AUTO
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DEFAULT -> Known.DEFAULT
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FLEX -> Known.FLEX
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SCALE -> Known.SCALE
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else -> throw OpenAIInvalidDataException("Unknown ServiceTier: $value")
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}
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‎openai-java-core/src/main/kotlin/com/openai/models/finetuning/jobs/JobCreateParams.kt‎

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* Response includes details of the enqueued job including job status and the name of the fine-tuned
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* models once complete.
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*
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* [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
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* [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)
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*/
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class JobCreateParams
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private constructor(
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* [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
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* format.
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*
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more
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* details.
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization) for
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* more details.
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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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* Your dataset must be formatted as a JSONL file. You must upload your file with the purpose
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* `fine-tune`.
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*
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more
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* details.
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization) for
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* more details.
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*
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* server responded with an unexpected value).
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* [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
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* format.
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*
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* details.
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization)
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* for more details.
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*/
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fun trainingFile(trainingFile: String) = apply { body.trainingFile(trainingFile) }
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* Your dataset must be formatted as a JSONL file. You must upload your file with the
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* purpose `fine-tune`.
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization)
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* for more details.
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*/
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fun validationFile(validationFile: String?) = apply { body.validationFile(validationFile) }
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* [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
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* format.
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*
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for more
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* details.
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization)
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* for more details.
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*
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* unexpectedly missing or null (e.g. if the server responded with an unexpected value).
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* purpose `fine-tune`.
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* details.
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization)
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* for more details.
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*
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* @throws OpenAIInvalidDataException if the JSON field has an unexpected type (e.g. if the
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* server responded with an unexpected value).
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* [preference](https://platform.openai.com/docs/api-reference/fine-tuning/preference-input)
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* format.
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*
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for
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* See the
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* [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization) for
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* more details.
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*/
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fun trainingFile(trainingFile: String) = trainingFile(JsonField.of(trainingFile))
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* Your dataset must be formatted as a JSONL file. You must upload your file with the
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* purpose `fine-tune`.
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*
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* See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for
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* See the
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* [fine-tuning guide](https://platform.openai.com/docs/guides/model-optimization) for
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* more details.
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*/
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fun validationFile(validationFile: String?) =

‎openai-java-core/src/main/kotlin/com/openai/models/finetuning/jobs/JobRetrieveParams.kt‎

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* Get info about a fine-tuning job.
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*
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* [Learn more about fine-tuning](https://platform.openai.com/docs/guides/model-optimization)
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*/
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class JobRetrieveParams
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private constructor(

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