SDK regeneration

.mock/definition/empathic-voice/__package__.yml

@@ -3,6 +3,8 @@ errors:
  status-code: 400
  type: ErrorResponse
  docs: Bad Request
+ examples:
+ - value: {}
 types:
  ErrorResponse:
  properties:
@@ -2239,7 +2241,14 @@ types:
  source:
  openapi: assistant-asyncapi.json
  UserInput:
- docs: User text to insert into the conversation.
+ docs: >-
+ User text to insert into the conversation. Text sent through a User Input
+ message is treated as the user’s speech to EVI. EVI processes this input
+ and provides a corresponding response.
+
+
+ Expression measurement results are not available for User Input messages,
+ as the prosody model relies on audio input and cannot process text alone.
  properties:
  type:
  type: literal<"user_input">
@@ -2323,7 +2332,9 @@ types:
  source:
  openapi: assistant-asyncapi.json
  AudioOutput:
- docs: When provided, the output is audio.
+ docs: >-
+ The type of message sent through the socket; for an Audio Output message,
+ this must be `audio_output`.
  properties:
  type:
  type: literal<"audio_output">

.mock/definition/expression-measurement/stream/__package__.yml

@@ -1,6 +1,7 @@
 channel:
  path: /v0/stream/models
  auth: false
+ display-name: Stream
  headers:
  X-Hume-Api-Key:
  type: string

.mock/fern.config.json

@@ -1,4 +1,4 @@
 {
  "organization" : "hume",
- "version" : "0.43.5"
+ "version" : "0.44.11"
 }

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "hume"
-version = "0.7.2"
+version = "0.7.3"
 description = "A Python SDK for Hume AI"
 readme = "README.md"
 authors = []

src/hume/empathic_voice/types/audio_output.py

@@ -8,7 +8,7 @@
 
 class AudioOutput(UniversalBaseModel):
  """
- When provided, the output is audio.
+ The type of message sent through the socket; for an Audio Output message, this must be `audio_output`.
  """
 
  type: typing.Literal["audio_output"] = pydantic.Field(default="audio_output")

src/hume/empathic_voice/types/user_input.py

@@ -8,7 +8,9 @@
 
 class UserInput(UniversalBaseModel):
  """
- User text to insert into the conversation.
+ User text to insert into the conversation. Text sent through a User Input message is treated as the user’s speech to EVI. EVI processes this input and provides a corresponding response.
+
+ Expression measurement results are not available for User Input messages, as the prosody model relies on audio input and cannot process text alone.
  """
 
  type: typing.Literal["user_input"] = pydantic.Field(default="user_input")