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chore(api): correct fine-tuning bounds and Realtime response reference #752

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Merged
markstuart-oai merged 1 commit into from
Sep 23, 2026
+22 −19
Merged

chore(api): correct fine-tuning bounds and Realtime response reference #752

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10 changes: 5 additions & 5 deletions .castiron.stats.yml
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Original file line number Diff line number Diff line change
@@ -1,8 +1,8 @@
schema_version: 1
generation_id: 062e7c51-8ed8-4111-b6cf-507fa9befcce
openapi_spec_hash: 687580b2f55d2dada661f0387a4b3e0d
openapi_transformed_spec_hash: 904296217a5077aa14766c6c58aa87d9
generation_id: b63bc7c6-84c2-49fe-8a74-237be8cc0b68
openapi_spec_hash: 3fdbf56dcaf85efe1e621db8067f829a
openapi_transformed_spec_hash: 3ff7c45d6856b5ffccfd73b63ee4263d
config_hash: 84cdcc959ee7140cc9a65e9b642c097b
codegen_sha: fd63e5c8b7583152acfe88ba6addb8adadcb3cc4
codegen_sha: 98ff1a185428389f908e78fdda3de3b976bd39fe
codegen_hash: 932d507add86de293034431eea802f35ed4accc8c8c0e63c0e2be239178a7869
public_codegen_sha: edeb207d57bd3fe367f2b78137d7508b6bf08364
public_codegen_sha: 804280cc8a4a275fb109946e6b27250c1f695639
31 changes: 17 additions & 14 deletions api_reference/openapi.transformed.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -36954,15 +36954,15 @@ components:
description: |
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid
overfitting.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
title: Auto
- type: number
minimum: 0
exclusiveMinimum: true
exclusiveMinimum: 0
n_epochs:
description: |
The number of epochs to train the model for. An epoch refers to one full cycle
Expand Down Expand Up @@ -41281,15 +41281,15 @@ components:
beta:
description: |
The beta value for the DPO method. A higher beta value will increase the weight of the penalty between the policy and reference model.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
- type: number
minimum: 0
maximum: 2
exclusiveMinimum: true
exclusiveMinimum: 0
batch_size:
description: |
Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.
Expand All @@ -41305,14 +41305,14 @@ components:
learning_rate_multiplier:
description: |
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
- type: number
minimum: 0
exclusiveMinimum: true
exclusiveMinimum: 0
n_epochs:
description: |
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
Expand Down Expand Up @@ -41369,14 +41369,14 @@ components:
learning_rate_multiplier:
description: |
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
- type: number
minimum: 0
exclusiveMinimum: true
exclusiveMinimum: 0
n_epochs:
description: |
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
Expand All @@ -41402,15 +41402,15 @@ components:
compute_multiplier:
description: |
Multiplier on amount of compute used for exploring search space during training.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
- type: number
minimum: 0.00001
maximum: 10
exclusiveMinimum: true
exclusiveMinimum: 0.00001
eval_interval:
description: |
The number of training steps between evaluation runs.
Expand Down Expand Up @@ -41469,14 +41469,14 @@ components:
learning_rate_multiplier:
description: |
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
- type: number
minimum: 0
exclusiveMinimum: true
exclusiveMinimum: 0
n_epochs:
description: |
The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
Expand Down Expand Up @@ -41649,15 +41649,15 @@ components:
description: |
Scaling factor for the learning rate. A smaller learning rate may be useful to avoid
overfitting.
default: auto
anyOf:
- type: string
enum:
- auto
x-stainless-const: true
title: Auto
- type: number
minimum: 0
exclusiveMinimum: true
exclusiveMinimum: 0
n_epochs:
description: |
The number of epochs to train the model for. An epoch refers to one full cycle
Expand Down Expand Up @@ -51336,6 +51336,9 @@ components:
The session configuration for either a realtime or transcription session.
discriminator:
propertyName: type
mapping:
realtime: '#/components/schemas/RealtimeSessionCreateResponseGA'
transcription: '#/components/schemas/RealtimeTranscriptionSessionCreateResponseGA'
anyOf:
- $ref: '#/components/schemas/RealtimeSessionCreateResponseGA'
- $ref: '#/components/schemas/RealtimeTranscriptionSessionCreateResponseGA'
Expand Down
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