🌿 Fern Regeneration -- March 14, 2025

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

@@ -2,6 +2,7 @@ channel:
   path: /v0/evi/chat
   url: prod
   auth: false
+  docs: Chat with Empathic Voice Interface (EVI)
   query-parameters:
     config_id:
       type: optional<string>

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

@@ -658,6 +658,7 @@ service:
       response:
         docs: Success
         type: text
+        status-code: 200
       errors:
         - root.BadRequestError
       examples:

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

@@ -377,6 +377,7 @@ service:
       response:
         docs: Success
         type: text
+        status-code: 200
       errors:
         - root.BadRequestError
       examples:

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

@@ -427,6 +427,8 @@ service:
         content-type: application/json
       response:
         docs: Success
+        type: text
+        status-code: 200
       errors:
         - root.BadRequestError
       examples:

.mock/definition/expression-measurement/v0StreamModels.yml → .mock/definition/expression-measurement/stream/stream.yml

@@ -2,7 +2,6 @@ channel:
   path: /v0/stream/models
   url: prod
   auth: false
-  display-name: Stream
   headers:
     X-Hume-Api-Key:
       type: string
@@ -36,8 +35,8 @@ types:
     inline: true
   StreamModelPredictionsBurstPredictionsItem:
     properties:
-      time: optional<unknown>
-      emotions: optional<unknown>
+      time: optional<streamRoot.TimeRange>
+      emotions: optional<streamRoot.EmotionEmbedding>
     source:
       openapi: streaming-asyncapi.yml
     inline: true
@@ -56,7 +55,7 @@ types:
       time:
         type: optional<double>
         docs: Time in seconds when face detection occurred.
-      bbox: optional<unknown>
+      bbox: optional<streamRoot.StreamBoundingBox>
       prob:
         type: optional<double>
         docs: The predicted probability that a detected face was actually a face.
@@ -65,9 +64,9 @@ types:
         docs: >-
           Identifier for a face. Not that this defaults to `unknown` unless face
           identification is enabled in the face model configuration.
-      emotions: optional<unknown>
-      facs: optional<unknown>
-      descriptions: optional<unknown>
+      emotions: optional<streamRoot.EmotionEmbedding>
+      facs: optional<streamRoot.EmotionEmbedding>
+      descriptions: optional<streamRoot.EmotionEmbedding>
     source:
       openapi: streaming-asyncapi.yml
     inline: true
@@ -80,7 +79,7 @@ types:
     inline: true
   StreamModelPredictionsFacemeshPredictionsItem:
     properties:
-      emotions: optional<unknown>
+      emotions: optional<streamRoot.EmotionEmbedding>
     source:
       openapi: streaming-asyncapi.yml
     inline: true
@@ -96,10 +95,10 @@ types:
       text:
         type: optional<string>
         docs: A segment of text (like a word or a sentence).
-      position: optional<unknown>
-      emotions: optional<unknown>
-      sentiment: optional<unknown>
-      toxicity: optional<unknown>
+      position: optional<streamRoot.TextPosition>
+      emotions: optional<streamRoot.EmotionEmbedding>
+      sentiment: optional<streamRoot.Sentiment>
+      toxicity: optional<streamRoot.Toxicity>
     source:
       openapi: streaming-asyncapi.yml
     inline: true
@@ -112,8 +111,8 @@ types:
     inline: true
   StreamModelPredictionsProsodyPredictionsItem:
     properties:
-      time: optional<unknown>
-      emotions: optional<unknown>
+      time: optional<streamRoot.TimeRange>
+      emotions: optional<streamRoot.EmotionEmbedding>
     source:
       openapi: streaming-asyncapi.yml
     inline: true
@@ -435,3 +434,5 @@ types:
           received.
     source:
       openapi: streaming-asyncapi.yml
+imports:
+  streamRoot: __package__.yml

.mock/definition/tts/voices.yml

@@ -23,7 +23,7 @@ service:
               type: string
               docs: >-
                 Id of the TTS generation (as returned by the [/v0/tts
-                endpoint](/reference/text-to-speech-evi/synthesize-json#response.body.generations.generation_id))
+                endpoint](/reference/text-to-speech-tts/synthesize-json#response.body.generations.generation_id))
                 that should be saved as a voice.
             name:
               type: string

.mock/fern.config.json

@@ -1,4 +1,4 @@
 {
   "organization" : "hume",
-  "version" : "0.53.17"
+  "version" : "0.56.21"
 }

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "hume"
-version = "0.7.8"
+version = "0.7.9"
 description = "A Python SDK for Hume AI"
 readme = "README.md"
 authors = []

reference.md

@@ -271,7 +271,7 @@ client.tts.voices.create(
 <dl>
 <dd>
 
-**generation_id:** `str` — Id of the TTS generation (as returned by the [/v0/tts endpoint](/reference/text-to-speech-evi/synthesize-json#response.body.generations.generation_id)) that should be saved as a voice.
+**generation_id:** `str` — Id of the TTS generation (as returned by the [/v0/tts endpoint](/reference/text-to-speech-tts/synthesize-json#response.body.generations.generation_id)) that should be saved as a voice.
 
 </dd>
 </dl>

src/hume/expression_measurement/batch/client.py

@@ -65,7 +65,7 @@ def list_jobs(
         timestamp_ms : typing.Optional[int]
             Provide a timestamp in milliseconds to filter jobs.
 
-            When combined with the `when` parameter, you can filter jobs before or after the given timestamp. Defaults to the current Unix timestamp if one is not provided.
+             When combined with the `when` parameter, you can filter jobs before or after the given timestamp. Defaults to the current Unix timestamp if one is not provided.
 
         sort_by : typing.Optional[SortBy]
             Specify which timestamp to sort the jobs by.
@@ -449,7 +449,7 @@ async def list_jobs(
         timestamp_ms : typing.Optional[int]
             Provide a timestamp in milliseconds to filter jobs.
 
-            When combined with the `when` parameter, you can filter jobs before or after the given timestamp. Defaults to the current Unix timestamp if one is not provided.
+             When combined with the `when` parameter, you can filter jobs before or after the given timestamp. Defaults to the current Unix timestamp if one is not provided.
 
         sort_by : typing.Optional[SortBy]
             Specify which timestamp to sort the jobs by.

src/hume/expression_measurement/batch/types/transcription.py

@@ -19,7 +19,6 @@ class Transcription(UniversalBaseModel):
     By default, we use an automated language detection method for our Speech Prosody, Language, and NER models. However, if you know what language is being spoken in your media samples, you can specify it via its BCP-47 tag and potentially obtain more accurate results.
 
     You can specify any of the following languages:
-
     - Chinese: `zh`
     - Danish: `da`
     - Dutch: `nl`

src/hume/expression_measurement/stream/__init__.py

@@ -1,13 +1,20 @@
 # This file was auto-generated by Fern from our API Definition.
 
 from .types import (
-    Config,
     EmotionEmbedding,
     EmotionEmbeddingItem,
-    JobDetails,
     Sentiment,
     SentimentItem,
     StreamBoundingBox,
+    TextPosition,
+    TimeRange,
+    Toxicity,
+    ToxicityItem,
+)
+from . import stream
+from .stream import (
+    Config,
+    JobDetails,
     StreamErrorMessage,
     StreamFace,
     StreamLanguage,
@@ -27,10 +34,6 @@
     StreamWarningMessage,
     StreamWarningMessageJobDetails,
     SubscribeEvent,
-    TextPosition,
-    TimeRange,
-    Toxicity,
-    ToxicityItem,
 )
 
 __all__ = [
@@ -64,4 +67,5 @@
     "TimeRange",
     "Toxicity",
     "ToxicityItem",
+    "stream",
 ]

src/hume/expression_measurement/stream/stream/__init__.py

@@ -0,0 +1,49 @@
+# This file was auto-generated by Fern from our API Definition.
+
+from .types import (
+    Config,
+    JobDetails,
+    StreamErrorMessage,
+    StreamFace,
+    StreamLanguage,
+    StreamModelPredictions,
+    StreamModelPredictionsBurst,
+    StreamModelPredictionsBurstPredictionsItem,
+    StreamModelPredictionsFace,
+    StreamModelPredictionsFacePredictionsItem,
+    StreamModelPredictionsFacemesh,
+    StreamModelPredictionsFacemeshPredictionsItem,
+    StreamModelPredictionsJobDetails,
+    StreamModelPredictionsLanguage,
+    StreamModelPredictionsLanguagePredictionsItem,
+    StreamModelPredictionsProsody,
+    StreamModelPredictionsProsodyPredictionsItem,
+    StreamModelsEndpointPayload,
+    StreamWarningMessage,
+    StreamWarningMessageJobDetails,
+    SubscribeEvent,
+)
+
+__all__ = [
+    "Config",
+    "JobDetails",
+    "StreamErrorMessage",
+    "StreamFace",
+    "StreamLanguage",
+    "StreamModelPredictions",
+    "StreamModelPredictionsBurst",
+    "StreamModelPredictionsBurstPredictionsItem",
+    "StreamModelPredictionsFace",
+    "StreamModelPredictionsFacePredictionsItem",
+    "StreamModelPredictionsFacemesh",
+    "StreamModelPredictionsFacemeshPredictionsItem",
+    "StreamModelPredictionsJobDetails",
+    "StreamModelPredictionsLanguage",
+    "StreamModelPredictionsLanguagePredictionsItem",
+    "StreamModelPredictionsProsody",
+    "StreamModelPredictionsProsodyPredictionsItem",
+    "StreamModelsEndpointPayload",
+    "StreamWarningMessage",
+    "StreamWarningMessageJobDetails",
+    "SubscribeEvent",
+]

src/hume/expression_measurement/stream/stream/types/__init__.py

@@ -0,0 +1,47 @@
+# This file was auto-generated by Fern from our API Definition.
+
+from .config import Config
+from .job_details import JobDetails
+from .stream_error_message import StreamErrorMessage
+from .stream_face import StreamFace
+from .stream_language import StreamLanguage
+from .stream_model_predictions import StreamModelPredictions
+from .stream_model_predictions_burst import StreamModelPredictionsBurst
+from .stream_model_predictions_burst_predictions_item import StreamModelPredictionsBurstPredictionsItem
+from .stream_model_predictions_face import StreamModelPredictionsFace
+from .stream_model_predictions_face_predictions_item import StreamModelPredictionsFacePredictionsItem
+from .stream_model_predictions_facemesh import StreamModelPredictionsFacemesh
+from .stream_model_predictions_facemesh_predictions_item import StreamModelPredictionsFacemeshPredictionsItem
+from .stream_model_predictions_job_details import StreamModelPredictionsJobDetails
+from .stream_model_predictions_language import StreamModelPredictionsLanguage
+from .stream_model_predictions_language_predictions_item import StreamModelPredictionsLanguagePredictionsItem
+from .stream_model_predictions_prosody import StreamModelPredictionsProsody
+from .stream_model_predictions_prosody_predictions_item import StreamModelPredictionsProsodyPredictionsItem
+from .stream_models_endpoint_payload import StreamModelsEndpointPayload
+from .stream_warning_message import StreamWarningMessage
+from .stream_warning_message_job_details import StreamWarningMessageJobDetails
+from .subscribe_event import SubscribeEvent
+
+__all__ = [
+    "Config",
+    "JobDetails",
+    "StreamErrorMessage",
+    "StreamFace",
+    "StreamLanguage",
+    "StreamModelPredictions",
+    "StreamModelPredictionsBurst",
+    "StreamModelPredictionsBurstPredictionsItem",
+    "StreamModelPredictionsFace",
+    "StreamModelPredictionsFacePredictionsItem",
+    "StreamModelPredictionsFacemesh",
+    "StreamModelPredictionsFacemeshPredictionsItem",
+    "StreamModelPredictionsJobDetails",
+    "StreamModelPredictionsLanguage",
+    "StreamModelPredictionsLanguagePredictionsItem",
+    "StreamModelPredictionsProsody",
+    "StreamModelPredictionsProsodyPredictionsItem",
+    "StreamModelsEndpointPayload",
+    "StreamWarningMessage",
+    "StreamWarningMessageJobDetails",
+    "SubscribeEvent",
+]

src/hume/expression_measurement/stream/types/config.py → src/hume/expression_measurement/stream/stream/types/config.py

@@ -1,11 +1,11 @@
 # This file was auto-generated by Fern from our API Definition.
 
-from ....core.pydantic_utilities import UniversalBaseModel
+from .....core.pydantic_utilities import UniversalBaseModel
 import typing
 import pydantic
 from .stream_face import StreamFace
 from .stream_language import StreamLanguage
-from ....core.pydantic_utilities import IS_PYDANTIC_V2
+from .....core.pydantic_utilities import IS_PYDANTIC_V2
 
 
 class Config(UniversalBaseModel):

src/hume/expression_measurement/stream/types/job_details.py → src/hume/expression_measurement/stream/stream/types/job_details.py

@@ -1,9 +1,9 @@
 # This file was auto-generated by Fern from our API Definition.
 
-from ....core.pydantic_utilities import UniversalBaseModel
+from .....core.pydantic_utilities import UniversalBaseModel
 import typing
 import pydantic
-from ....core.pydantic_utilities import IS_PYDANTIC_V2
+from .....core.pydantic_utilities import IS_PYDANTIC_V2
 
 
 class JobDetails(UniversalBaseModel):

src/hume/expression_measurement/stream/types/stream_error_message.py → src/hume/expression_measurement/stream/stream/types/stream_error_message.py

@@ -1,10 +1,10 @@
 # This file was auto-generated by Fern from our API Definition.
 
-from ....core.pydantic_utilities import UniversalBaseModel
+from .....core.pydantic_utilities import UniversalBaseModel
 import typing
 import pydantic
 from .job_details import JobDetails
-from ....core.pydantic_utilities import IS_PYDANTIC_V2
+from .....core.pydantic_utilities import IS_PYDANTIC_V2
 
 
 class StreamErrorMessage(UniversalBaseModel):

src/hume/expression_measurement/stream/types/stream_face.py → src/hume/expression_measurement/stream/stream/types/stream_face.py

@@ -1,9 +1,9 @@
 # This file was auto-generated by Fern from our API Definition.
 
-from ....core.pydantic_utilities import UniversalBaseModel
+from .....core.pydantic_utilities import UniversalBaseModel
 import typing
 import pydantic
-from ....core.pydantic_utilities import IS_PYDANTIC_V2
+from .....core.pydantic_utilities import IS_PYDANTIC_V2
 
 
 class StreamFace(UniversalBaseModel):

src/hume/expression_measurement/stream/types/stream_language.py → src/hume/expression_measurement/stream/stream/types/stream_language.py

@@ -1,9 +1,9 @@
 # This file was auto-generated by Fern from our API Definition.
 
-from ....core.pydantic_utilities import UniversalBaseModel
+from .....core.pydantic_utilities import UniversalBaseModel
 import typing
 import pydantic
-from ....core.pydantic_utilities import IS_PYDANTIC_V2
+from .....core.pydantic_utilities import IS_PYDANTIC_V2
 
 
 class StreamLanguage(UniversalBaseModel):

src/hume/expression_measurement/stream/types/stream_model_predictions.py → src/hume/expression_measurement/stream/stream/types/stream_model_predictions.py

@@ -1,6 +1,6 @@
 # This file was auto-generated by Fern from our API Definition.
 
-from ....core.pydantic_utilities import UniversalBaseModel
+from .....core.pydantic_utilities import UniversalBaseModel
 import typing
 import pydantic
 from .stream_model_predictions_job_details import StreamModelPredictionsJobDetails
@@ -9,7 +9,7 @@
 from .stream_model_predictions_facemesh import StreamModelPredictionsFacemesh
 from .stream_model_predictions_language import StreamModelPredictionsLanguage
 from .stream_model_predictions_prosody import StreamModelPredictionsProsody
-from ....core.pydantic_utilities import IS_PYDANTIC_V2
+from .....core.pydantic_utilities import IS_PYDANTIC_V2
 
 
 class StreamModelPredictions(UniversalBaseModel):