Mark ChatCompletionResponseMessage content and function_call.{name,ar…

…guments} as required

openapi.yaml

@@ -946,7 +946,7 @@ paths:
  curl https://api.openai.com/v1/files/file-XjGxS3KTG0uNmNOK362iJua3 \
  -H "Authorization: Bearer $OPENAI_API_KEY"
  python: |
- import os 
+ import os
  import openai
  openai.api_key = os.getenv("OPENAI_API_KEY")
  openai.File.retrieve("file-XjGxS3KTG0uNmNOK362iJua3")
@@ -2084,8 +2084,12 @@ components:
  arguments:
  type: string
  description: The arguments to call the function with, as generated by the model in JSON format. Note that the model does not always generate valid JSON, and may hallucinate parameters not defined by your function schema. Validate the arguments in your code before calling your function.
+ required:
+ - name
+ - arguments
  required:
  - role
+ - content
 
  ChatCompletionStreamResponseDelta:
  type: object
@@ -3204,7 +3208,7 @@ components:
  n_epochs:
  type: integer
  description: |
- The number of epochs to train the model for. An epoch refers to one 
+ The number of epochs to train the model for. An epoch refers to one
  full cycle through the training dataset.
  batch_size:
  type: integer
@@ -3370,7 +3374,7 @@ x-oaiMeta:
  - id: completions
  title: Completions
  description: |
- Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. 
+ Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
  Note: We recommend most users use our Chat Completions API. [Learn more](/docs/deprecations/2023-07-06-gpt-and-embeddings)
  sections:
  - type: object