🌿 Fern Regeneration -- January 9, 2026

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2025 Elevenlabs.
+Copyright (c) 2026 Elevenlabs.
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

pyproject.toml

@@ -4,7 +4,7 @@ dynamic = ["version"]
 
 [tool.poetry]
 name = "elevenlabs"
-version = "v2.28.0"
+version = "v2.29.0"
 description = ""
 readme = "README.md"
 authors = []

reference.md

@@ -4490,7 +4490,7 @@ typing.Optional[core.File]` — See core.File for more documentation
 <dl>
 <dd>
 
-**mode:** `typing.Optional[DubbingCreateRequestMode]` — The mode in which to run this Dubbing job. Defaults to automatic, use manual if specifically providing a CSV transcript to use.
+**mode:** `typing.Optional[DubbingCreateRequestMode]` — The mode in which to run this Dubbing job. Defaults to automatic, use manual if specifically providing a CSV transcript to use. Note that manual mode is experimental and production use is strongly discouraged.
 
 </dd>
 </dl>
@@ -6295,6 +6295,22 @@ typing.Optional[core.File]` — See core.File for more documentation
 <dl>
 <dd>
 
+**entity_detection:** `typing.Optional[SpeechToTextConvertRequestEntityDetection]` — Detect entities in the transcript. Can be 'all' to detect all entities, a single entity type or category string, or a list of entity types/categories. Categories include 'pii', 'phi', 'pci', 'other', 'offensive_language'. When enabled, detected entities will be returned in the 'entities' field with their text, type, and character positions.
+
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**keyterms:** `typing.Optional[typing.List[str]]` — A list of keyterms to bias the transcription towards.           The keyterms are words or phrases you want the model to recognise more accurately.           The number of keyterms cannot exceed 100.           The length of each keyterm must be less than 50 characters.           Keyterms can contain at most 5 words (after normalisation).           For example ["hello", "world", "technical term"]
+
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
 
 </dd>
@@ -9939,7 +9955,6 @@ client.conversational_ai.knowledge_base.list(
     folders_first=True,
     sort_direction="asc",
     sort_by="name",
-    use_typesense=True,
     cursor="cursor",
 )
 
@@ -10033,14 +10048,6 @@ client.conversational_ai.knowledge_base.list(
 <dl>
 <dd>
 
-**use_typesense:** `typing.Optional[bool]` — If set to true, the endpoint will use typesense DB to search for the documents).
-
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **cursor:** `typing.Optional[str]` — Used for fetching next page. Cursor is returned in the response.
 
 </dd>
@@ -17280,7 +17287,7 @@ typing.Optional[core.File]` — See core.File for more documentation
 
 
     An optional content to initialize the Studio project with. If this is set, 'from_url' and 'from_document' must be null. If neither 'from_url', 'from_document', 'from_content' are provided we will initialize the Studio project as blank.
-    
+
     Example:
     [{"name": "Chapter A", "blocks": [{"sub_type": "p", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "A", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "B", "type": "tts_node"}]}, {"sub_type": "h1", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "C", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "D", "type": "tts_node"}]}]}, {"name": "Chapter B", "blocks": [{"sub_type": "p", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "E", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "F", "type": "tts_node"}]}, {"sub_type": "h2", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "G", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "H", "type": "tts_node"}]}]}]
 
@@ -18067,7 +18074,7 @@ typing.Optional[core.File]` — See core.File for more documentation
 
 
     An optional content to initialize the Studio project with. If this is set, 'from_url' and 'from_document' must be null. If neither 'from_url', 'from_document', 'from_content' are provided we will initialize the Studio project as blank.
-    
+
     Example:
     [{"name": "Chapter A", "blocks": [{"sub_type": "p", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "A", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "B", "type": "tts_node"}]}, {"sub_type": "h1", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "C", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "D", "type": "tts_node"}]}]}, {"name": "Chapter B", "blocks": [{"sub_type": "p", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "E", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "F", "type": "tts_node"}]}, {"sub_type": "h2", "nodes": [{"voice_id": "6lCwbsX1yVjD49QmpkT0", "text": "G", "type": "tts_node"}, {"voice_id": "6lCwbsX1yVjD49QmpkT1", "text": "H", "type": "tts_node"}]}]}]
 
@@ -21676,6 +21683,94 @@ client.workspace.resources.unshare(
 </dl>
 
 
+</dd>
+</dl>
+</details>
+
+<details><summary><code>client.workspace.resources.<a href="src/elevenlabs/workspace/resources/client.py">copy_to_workspace</a>(...)</code></summary>
+<dl>
+<dd>
+
+#### 📝 Description
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+Copies a workspace resource to another workspace.
+</dd>
+</dl>
+</dd>
+</dl>
+
+#### 🔌 Usage
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+```python
+from elevenlabs import ElevenLabs
+
+client = ElevenLabs(
+    api_key="YOUR_API_KEY",
+)
+client.workspace.resources.copy_to_workspace(
+    resource_id="resource_id",
+    resource_type="voice",
+    target_user_id="target_user_id",
+)
+
+```
+</dd>
+</dl>
+</dd>
+</dl>
+
+#### ⚙️ Parameters
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+**resource_id:** `str` — The ID of the target resource.
+
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**resource_type:** `WorkspaceResourceType` — Resource type of the target resource.
+
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**target_user_id:** `str` — The ID of the target user.
+
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
+
+</dd>
+</dl>
+</dd>
+</dl>
+
+
 </dd>
 </dl>
 </details>

src/elevenlabs/__init__.py

@@ -721,6 +721,7 @@
         DependentUnknownAgentIdentifier,
         DependentUnknownToolIdentifier,
         DetailedMusicResponse,
+        DetectedEntity,
         DialogueInput,
         DialogueInputResponseModel,
         DiscountResponseModel,
@@ -878,6 +879,7 @@
         KnowledgeBaseDocumentMetadataResponseModel,
         KnowledgeBaseDocumentType,
         KnowledgeBaseFolderPathSegmentResponseModel,
+        KnowledgeBaseFolderPathSegmentSummaryResponseModel,
         KnowledgeBaseLocator,
         KnowledgeBaseSortBy,
         KnowledgeBaseSummaryBatchSuccessfulResponseModel,
@@ -1534,6 +1536,7 @@
         SpeechToSpeechStreamRequestOutputFormat,
     )
     from .speech_to_text import (
+        SpeechToTextConvertRequestEntityDetection,
         SpeechToTextConvertRequestFileFormat,
         SpeechToTextConvertRequestTimestampsGranularity,
         SpeechToTextConvertRequestWebhookMetadata,
@@ -2322,6 +2325,7 @@
     "DependentUnknownAgentIdentifier": ".types",
     "DependentUnknownToolIdentifier": ".types",
     "DetailedMusicResponse": ".types",
+    "DetectedEntity": ".types",
     "DialogueInput": ".types",
     "DialogueInputResponseModel": ".types",
     "DiscountResponseModel": ".types",
@@ -2488,6 +2492,7 @@
     "KnowledgeBaseDocumentMetadataResponseModel": ".types",
     "KnowledgeBaseDocumentType": ".types",
     "KnowledgeBaseFolderPathSegmentResponseModel": ".types",
+    "KnowledgeBaseFolderPathSegmentSummaryResponseModel": ".types",
     "KnowledgeBaseLocator": ".types",
     "KnowledgeBaseSortBy": ".types",
     "KnowledgeBaseSummaryBatchSuccessfulResponseModel": ".types",
@@ -2778,6 +2783,7 @@
     "SpeechToSpeechStreamRequestOutputFormat": ".speech_to_speech",
     "SpeechToTextCharacterResponseModel": ".types",
     "SpeechToTextChunkResponseModel": ".types",
+    "SpeechToTextConvertRequestEntityDetection": ".speech_to_text",
     "SpeechToTextConvertRequestFileFormat": ".speech_to_text",
     "SpeechToTextConvertRequestTimestampsGranularity": ".speech_to_text",
     "SpeechToTextConvertRequestWebhookMetadata": ".speech_to_text",
@@ -3897,6 +3903,7 @@ def __dir__():
     "DependentUnknownAgentIdentifier",
     "DependentUnknownToolIdentifier",
     "DetailedMusicResponse",
+    "DetectedEntity",
     "DialogueInput",
     "DialogueInputResponseModel",
     "DiscountResponseModel",
@@ -4063,6 +4070,7 @@ def __dir__():
     "KnowledgeBaseDocumentMetadataResponseModel",
     "KnowledgeBaseDocumentType",
     "KnowledgeBaseFolderPathSegmentResponseModel",
+    "KnowledgeBaseFolderPathSegmentSummaryResponseModel",
     "KnowledgeBaseLocator",
     "KnowledgeBaseSortBy",
     "KnowledgeBaseSummaryBatchSuccessfulResponseModel",
@@ -4353,6 +4361,7 @@ def __dir__():
     "SpeechToSpeechStreamRequestOutputFormat",
     "SpeechToTextCharacterResponseModel",
     "SpeechToTextChunkResponseModel",
+    "SpeechToTextConvertRequestEntityDetection",
     "SpeechToTextConvertRequestFileFormat",
     "SpeechToTextConvertRequestTimestampsGranularity",
     "SpeechToTextConvertRequestWebhookMetadata",

src/elevenlabs/conversational_ai/knowledge_base/client.py

@@ -55,7 +55,6 @@ def list(
         folders_first: typing.Optional[bool] = None,
         sort_direction: typing.Optional[SortDirection] = None,
         sort_by: typing.Optional[KnowledgeBaseSortBy] = None,
-        use_typesense: typing.Optional[bool] = None,
         cursor: typing.Optional[str] = None,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> GetKnowledgeBaseListResponseModel:
@@ -91,9 +90,6 @@ def list(
         sort_by : typing.Optional[KnowledgeBaseSortBy]
             The field to sort the results by
 
-        use_typesense : typing.Optional[bool]
-            If set to true, the endpoint will use typesense DB to search for the documents).
-
         cursor : typing.Optional[str]
             Used for fetching next page. Cursor is returned in the response.
 
@@ -121,7 +117,6 @@ def list(
             folders_first=True,
             sort_direction="asc",
             sort_by="name",
-            use_typesense=True,
             cursor="cursor",
         )
         """
@@ -135,7 +130,6 @@ def list(
             folders_first=folders_first,
             sort_direction=sort_direction,
             sort_by=sort_by,
-            use_typesense=use_typesense,
             cursor=cursor,
             request_options=request_options,
         )
@@ -232,7 +226,6 @@ async def list(
         folders_first: typing.Optional[bool] = None,
         sort_direction: typing.Optional[SortDirection] = None,
         sort_by: typing.Optional[KnowledgeBaseSortBy] = None,
-        use_typesense: typing.Optional[bool] = None,
         cursor: typing.Optional[str] = None,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> GetKnowledgeBaseListResponseModel:
@@ -268,9 +261,6 @@ async def list(
         sort_by : typing.Optional[KnowledgeBaseSortBy]
             The field to sort the results by
 
-        use_typesense : typing.Optional[bool]
-            If set to true, the endpoint will use typesense DB to search for the documents).
-
         cursor : typing.Optional[str]
             Used for fetching next page. Cursor is returned in the response.
 
@@ -303,7 +293,6 @@ async def main() -> None:
                 folders_first=True,
                 sort_direction="asc",
                 sort_by="name",
-                use_typesense=True,
                 cursor="cursor",
             )
 
@@ -320,7 +309,6 @@ async def main() -> None:
             folders_first=folders_first,
             sort_direction=sort_direction,
             sort_by=sort_by,
-            use_typesense=use_typesense,
             cursor=cursor,
             request_options=request_options,
         )

src/elevenlabs/conversational_ai/knowledge_base/raw_client.py

@@ -42,7 +42,6 @@ def list(
         folders_first: typing.Optional[bool] = None,
         sort_direction: typing.Optional[SortDirection] = None,
         sort_by: typing.Optional[KnowledgeBaseSortBy] = None,
-        use_typesense: typing.Optional[bool] = None,
         cursor: typing.Optional[str] = None,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> HttpResponse[GetKnowledgeBaseListResponseModel]:
@@ -78,9 +77,6 @@ def list(
         sort_by : typing.Optional[KnowledgeBaseSortBy]
             The field to sort the results by
 
-        use_typesense : typing.Optional[bool]
-            If set to true, the endpoint will use typesense DB to search for the documents).
-
         cursor : typing.Optional[str]
             Used for fetching next page. Cursor is returned in the response.
 
@@ -105,7 +101,6 @@ def list(
                 "folders_first": folders_first,
                 "sort_direction": sort_direction,
                 "sort_by": sort_by,
-                "use_typesense": use_typesense,
                 "cursor": cursor,
             },
             request_options=request_options,
@@ -217,7 +212,6 @@ async def list(
         folders_first: typing.Optional[bool] = None,
         sort_direction: typing.Optional[SortDirection] = None,
         sort_by: typing.Optional[KnowledgeBaseSortBy] = None,
-        use_typesense: typing.Optional[bool] = None,
         cursor: typing.Optional[str] = None,
         request_options: typing.Optional[RequestOptions] = None,
     ) -> AsyncHttpResponse[GetKnowledgeBaseListResponseModel]:
@@ -253,9 +247,6 @@ async def list(
         sort_by : typing.Optional[KnowledgeBaseSortBy]
             The field to sort the results by
 
-        use_typesense : typing.Optional[bool]
-            If set to true, the endpoint will use typesense DB to search for the documents).
-
         cursor : typing.Optional[str]
             Used for fetching next page. Cursor is returned in the response.
 
@@ -280,7 +271,6 @@ async def list(
                 "folders_first": folders_first,
                 "sort_direction": sort_direction,
                 "sort_by": sort_by,
-                "use_typesense": use_typesense,
                 "cursor": cursor,
             },
             request_options=request_options,

src/elevenlabs/core/client_wrapper.py

@@ -22,10 +22,10 @@ def __init__(
 
     def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
-            "User-Agent": "elevenlabs/v2.28.0",
+            "User-Agent": "elevenlabs/v2.29.0",
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "elevenlabs",
-            "X-Fern-SDK-Version": "v2.28.0",
+            "X-Fern-SDK-Version": "v2.29.0",
             **(self.get_custom_headers() or {}),
         }
         if self._api_key is not None: