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fix(api): Fix evals and code interpreter interfaces
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‎.stats.yml‎

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@@ -1,4 +1,4 @@
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configured_endpoints: 109
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-d4bcffecf0cdadf746faa6708ed1ec81fac451f9b857deabbab26f0a343b9314.yml
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openapi_spec_hash: 7c54a18b4381248bda7cc34c52142615
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config_hash: e618aa8ff61aea826540916336de65a6
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/openai%2Fopenai-2bcc845d8635bf93ddcf9ee723af4d7928248412a417bee5fc10d863a1e13867.yml
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openapi_spec_hash: 865230cb3abeb01bd85de05891af23c4
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config_hash: ed1e6b3c5f93d12b80d31167f55c557c

‎lib/openai/models/audio/transcription_text_delta_event.rb‎

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@@ -50,8 +50,8 @@ class Logprob < OpenAI::Internal::Type::BaseModel
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# @!attribute bytes
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# The bytes that were used to generate the log probability.
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#
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# @return [Array<Object>, nil]
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optional :bytes, OpenAI::Internal::Type::ArrayOf[OpenAI::Internal::Type::Unknown]
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# @return [Array<Integer>, nil]
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optional :bytes, OpenAI::Internal::Type::ArrayOf[Integer]
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# @!attribute logprob
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# The log probability of the token.
@@ -65,7 +65,7 @@ class Logprob < OpenAI::Internal::Type::BaseModel
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#
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# @param token [String] The token that was used to generate the log probability.
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#
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# @param bytes [Array<Object>] The bytes that were used to generate the log probability.
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# @param bytes [Array<Integer>] The bytes that were used to generate the log probability.
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#
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# @param logprob [Float] The log probability of the token.
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end

‎lib/openai/models/audio/transcription_text_done_event.rb‎

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Original file line numberDiff line numberDiff line change
@@ -51,8 +51,8 @@ class Logprob < OpenAI::Internal::Type::BaseModel
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# @!attribute bytes
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# The bytes that were used to generate the log probability.
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#
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# @return [Array<Object>, nil]
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optional :bytes, OpenAI::Internal::Type::ArrayOf[OpenAI::Internal::Type::Unknown]
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# @return [Array<Integer>, nil]
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optional :bytes, OpenAI::Internal::Type::ArrayOf[Integer]
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# @!attribute logprob
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# The log probability of the token.
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#
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# @param token [String] The token that was used to generate the log probability.
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#
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# @param bytes [Array<Object>] The bytes that were used to generate the log probability.
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# @param bytes [Array<Integer>] The bytes that were used to generate the log probability.
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#
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# @param logprob [Float] The log probability of the token.
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end

‎lib/openai/models/chat/chat_completion.rb‎

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Original file line numberDiff line numberDiff line change
@@ -46,9 +46,9 @@ class ChatCompletion < OpenAI::Internal::Type::BaseModel
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# utilize scale tier credits until they are exhausted.
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# - If set to 'auto', and the Project is not Scale tier enabled, the request will
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# be processed using the default service tier with a lower uptime SLA and no
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# latency guarentee.
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# latency guarantee.
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# - If set to 'default', the request will be processed using the default service
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# tier with a lower uptime SLA and no latency guarentee.
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# tier with a lower uptime SLA and no latency guarantee.
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# - If set to 'flex', the request will be processed with the Flex Processing
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# service tier.
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# [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -195,9 +195,9 @@ class Logprobs < OpenAI::Internal::Type::BaseModel
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# utilize scale tier credits until they are exhausted.
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# - If set to 'auto', and the Project is not Scale tier enabled, the request will
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# be processed using the default service tier with a lower uptime SLA and no
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# latency guarentee.
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# latency guarantee.
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# - If set to 'default', the request will be processed using the default service
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# tier with a lower uptime SLA and no latency guarentee.
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# tier with a lower uptime SLA and no latency guarantee.
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# - If set to 'flex', the request will be processed with the Flex Processing
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# service tier.
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# [Learn more](https://platform.openai.com/docs/guides/flex-processing).

‎lib/openai/models/chat/chat_completion_chunk.rb‎

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Original file line numberDiff line numberDiff line change
@@ -45,9 +45,9 @@ class ChatCompletionChunk < OpenAI::Internal::Type::BaseModel
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# utilize scale tier credits until they are exhausted.
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# - If set to 'auto', and the Project is not Scale tier enabled, the request will
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# be processed using the default service tier with a lower uptime SLA and no
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# latency guarentee.
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# latency guarantee.
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# - If set to 'default', the request will be processed using the default service
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# tier with a lower uptime SLA and no latency guarentee.
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# tier with a lower uptime SLA and no latency guarantee.
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# - If set to 'flex', the request will be processed with the Flex Processing
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# service tier.
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# [Learn more](https://platform.openai.com/docs/guides/flex-processing).
@@ -378,9 +378,9 @@ class Logprobs < OpenAI::Internal::Type::BaseModel
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# utilize scale tier credits until they are exhausted.
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# - If set to 'auto', and the Project is not Scale tier enabled, the request will
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# be processed using the default service tier with a lower uptime SLA and no
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# latency guarentee.
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# latency guarantee.
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# - If set to 'default', the request will be processed using the default service
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# tier with a lower uptime SLA and no latency guarentee.
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# tier with a lower uptime SLA and no latency guarantee.
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# - If set to 'flex', the request will be processed with the Flex Processing
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# service tier.
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# [Learn more](https://platform.openai.com/docs/guides/flex-processing).

‎lib/openai/models/chat/completion_create_params.rb‎

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Original file line numberDiff line numberDiff line change
@@ -226,9 +226,9 @@ class CompletionCreateParams < OpenAI::Internal::Type::BaseModel
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# utilize scale tier credits until they are exhausted.
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# - If set to 'auto', and the Project is not Scale tier enabled, the request will
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# be processed using the default service tier with a lower uptime SLA and no
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# latency guarentee.
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# latency guarantee.
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# - If set to 'default', the request will be processed using the default service
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# tier with a lower uptime SLA and no latency guarentee.
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# tier with a lower uptime SLA and no latency guarantee.
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# - If set to 'flex', the request will be processed with the Flex Processing
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# service tier.
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# [Learn more](https://platform.openai.com/docs/guides/flex-processing).
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# utilize scale tier credits until they are exhausted.
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# - If set to 'auto', and the Project is not Scale tier enabled, the request will
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# be processed using the default service tier with a lower uptime SLA and no
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# latency guarentee.
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# latency guarantee.
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# - If set to 'default', the request will be processed using the default service
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# tier with a lower uptime SLA and no latency guarentee.
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# tier with a lower uptime SLA and no latency guarantee.
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# - If set to 'flex', the request will be processed with the Flex Processing
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# service tier.
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# [Learn more](https://platform.openai.com/docs/guides/flex-processing).

‎lib/openai/models/fine_tuning/alpha/grader_run_params.rb‎

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@@ -16,26 +16,32 @@ class GraderRunParams < OpenAI::Internal::Type::BaseModel
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required :grader, union: -> { OpenAI::FineTuning::Alpha::GraderRunParams::Grader }
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# @!attribute model_sample
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# The model sample to be evaluated.
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# The model sample to be evaluated. This value will be used to populate the
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# `sample` namespace. See
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# [the guide](https://platform.openai.com/docs/guides/graders) for more details.
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# The `output_json` variable will be populated if the model sample is a valid JSON
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# string.
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#
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# @return [String]
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required :model_sample, String
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# @!attribute reference_answer
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# The reference answer for the evaluation.
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# @!attribute item
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# The dataset item provided to the grader. This will be used to populate the
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# `item` namespace. See
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# [the guide](https://platform.openai.com/docs/guides/graders) for more details.
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#
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# @return [String, Object, Array<Object>, Float]
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required :reference_answer,
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union: -> {
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OpenAI::FineTuning::Alpha::GraderRunParams::ReferenceAnswer
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}
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# @return [Object, nil]
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optional :item, OpenAI::Internal::Type::Unknown
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# @!method initialize(grader:, model_sample:, reference_answer:, request_options: {})
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# @!method initialize(grader:, model_sample:, item: nil, request_options: {})
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# Some parameter documentations has been truncated, see
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# {OpenAI::Models::FineTuning::Alpha::GraderRunParams} for more details.
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#
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# @param grader [OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::MultiGrader] The grader used for the fine-tuning job.
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#
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# @param model_sample [String] The model sample to be evaluated.
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# @param model_sample [String] The model sample to be evaluated. This value will be used to populate
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#
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# @param reference_answer [String, Object, Array<Object>, Float] The reference answer for the evaluation.
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# @param item [Object] The dataset item provided to the grader. This will be used to populate
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#
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# @param request_options [OpenAI::RequestOptions, Hash{Symbol=>Object}]
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@@ -63,25 +69,6 @@ module Grader
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# @!method self.variants
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# @return [Array(OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::MultiGrader)]
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end
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# The reference answer for the evaluation.
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module ReferenceAnswer
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extend OpenAI::Internal::Type::Union
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variant String
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variant OpenAI::Internal::Type::Unknown
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variant -> { OpenAI::Models::FineTuning::Alpha::GraderRunParams::ReferenceAnswer::UnionMember2Array }
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variant Float
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# @!method self.variants
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# @return [Array(String, Object, Array<Object>, Float)]
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# @type [OpenAI::Internal::Type::Converter]
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UnionMember2Array = OpenAI::Internal::Type::ArrayOf[OpenAI::Internal::Type::Unknown]
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end
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end
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end
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end

‎lib/openai/models/fine_tuning/fine_tuning_job.rb‎

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Original file line numberDiff line numberDiff line change
@@ -226,7 +226,7 @@ class Hyperparameters < OpenAI::Internal::Type::BaseModel
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# Number of examples in each batch. A larger batch size means that model
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# parameters are updated less frequently, but with lower variance.
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#
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# @return [Object, Symbol, :auto, Integer, nil]
229+
# @return [Symbol, :auto, Integer, nil]
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optional :batch_size,
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union: -> { OpenAI::FineTuning::FineTuningJob::Hyperparameters::BatchSize },
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nil?: true
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# The hyperparameters used for the fine-tuning job. This value will only be
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# returned when running `supervised` jobs.
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#
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# @param batch_size [Object, Symbol, :auto, Integer, nil] Number of examples in each batch. A larger batch size means that model parameter
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# @param batch_size [Symbol, :auto, Integer, nil] Number of examples in each batch. A larger batch size means that model parameter
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#
258258
# @param learning_rate_multiplier [Symbol, :auto, Float] Scaling factor for the learning rate. A smaller learning rate may be useful to a
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#
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module BatchSize
267267
extend OpenAI::Internal::Type::Union
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variant OpenAI::Internal::Type::Unknown
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variant const: :auto
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273271
variant Integer
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275273
# @!method self.variants
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# @return [Array(Object, Symbol, :auto, Integer)]
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# @return [Array(Symbol, :auto, Integer)]
277275
end
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# Scaling factor for the learning rate. A smaller learning rate may be useful to

‎lib/openai/models/graders/multi_grader.rb‎

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Original file line numberDiff line numberDiff line change
@@ -11,9 +11,11 @@ class MultiGrader < OpenAI::Internal::Type::BaseModel
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required :calculate_output, String
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# @!attribute graders
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# A StringCheckGrader object that performs a string comparison between input and
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# reference using a specified operation.
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#
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# @return [Hash{Symbol=>OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::LabelModelGrader}]
16-
required :graders, -> { OpenAI::Internal::Type::HashOf[union: OpenAI::Graders::MultiGrader::Grader] }
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# @return [OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::LabelModelGrader]
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required :graders, union: -> { OpenAI::Graders::MultiGrader::Graders }
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# @!attribute name
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# The name of the grader.
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required :type, const: :multi
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# @!method initialize(calculate_output:, graders:, name:, type: :multi)
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# Some parameter documentations has been truncated, see
34+
# {OpenAI::Models::Graders::MultiGrader} for more details.
35+
#
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# A MultiGrader object combines the output of multiple graders to produce a single
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# score.
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#
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# @param calculate_output [String] A formula to calculate the output based on grader results.
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#
36-
# @param graders [Hash{Symbol=>OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::LabelModelGrader}]
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# @param graders [OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::LabelModelGrader] A StringCheckGrader object that performs a string comparison between input and r
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#
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# @param name [String] The name of the grader.
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#
4045
# @param type [Symbol, :multi] The object type, which is always `multi`.
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# A StringCheckGrader object that performs a string comparison between input and
4348
# reference using a specified operation.
44-
module Grader
49+
#
50+
# @see OpenAI::Models::Graders::MultiGrader#graders
51+
module Graders
4552
extend OpenAI::Internal::Type::Union
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# A StringCheckGrader object that performs a string comparison between input and reference using a specified operation.

‎lib/openai/models/image_edit_params.rb‎

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@@ -11,7 +11,7 @@ class ImageEditParams < OpenAI::Internal::Type::BaseModel
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# The image(s) to edit. Must be a supported image file or an array of images.
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#
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# For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than
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# 25MB. You can provide up to 16 images.
14+
# 50MB. You can provide up to 16 images.
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#
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# For `dall-e-2`, you can only provide one image, and it should be a square `png`
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# file less than 4MB.
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# The image(s) to edit. Must be a supported image file or an array of images.
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#
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# For `gpt-image-1`, each image should be a `png`, `webp`, or `jpg` file less than
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# 25MB. You can provide up to 16 images.
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# 50MB. You can provide up to 16 images.
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#
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# For `dall-e-2`, you can only provide one image, and it should be a square `png`
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# file less than 4MB.

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