From a34849d6459f3d50765eca417a81c243aea4cf57 Mon Sep 17 00:00:00 2001
From: markstuart-oai <323302876+markstuart-oai@users.noreply.github.com>
Date: Wed, 23 Sep 2026 21:29:55 +0000
Subject: [PATCH] chore(api): correct fine-tuning bounds and Realtime response
 reference

Castiron-Internal-PR: https://github.com/openai/openai-ruby-internal/pull/149
Castiron-Source-SHA: de28e463384ba1c1b67753497d2f35ee1f9e0adb
Castiron-Public-Base-SHA: c7047782ff2ae38a859a08ef199e67a79c16b9fe
---
 .castiron.stats.yml                   | 10 ++++-----
 api_reference/openapi.transformed.yml | 31 +++++++++++++++------------
 2 files changed, 22 insertions(+), 19 deletions(-)

diff --git a/.castiron.stats.yml b/.castiron.stats.yml
index 521844da2..576a72f9d 100644
--- a/.castiron.stats.yml
+++ b/.castiron.stats.yml
@@ -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
diff --git a/api_reference/openapi.transformed.yml b/api_reference/openapi.transformed.yml
index fdf489614..1321ea33c 100644
--- a/api_reference/openapi.transformed.yml
+++ b/api_reference/openapi.transformed.yml
@@ -36954,6 +36954,7 @@ components:
               description: |
                 Scaling factor for the learning rate. A smaller learning rate may be useful to avoid
                 overfitting.
+              default: auto
               anyOf:
               - type: string
                 enum:
@@ -36961,8 +36962,7 @@ components:
                 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
@@ -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.
@@ -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.
@@ -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.
@@ -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.
@@ -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.
@@ -41649,6 +41649,7 @@ components:
               description: |
                 Scaling factor for the learning rate. A smaller learning rate may be useful to avoid
                 overfitting.
+              default: auto
               anyOf:
               - type: string
                 enum:
@@ -41656,8 +41657,7 @@ components:
                 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
@@ -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'