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‎CHANGES.md

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@@ -3,6 +3,15 @@ twilio-python Changelog
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Here you can see the full list of changes between each twilio-python release.
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[2025-01-09] Version 9.4.2
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--------------------------
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**Library - Chore**
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- [PR #832](https://github.com/twilio/twilio-python/pull/832): remove test for 3.7. Thanks to [@tiwarishubham635](https://github.com/tiwarishubham635)!
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**Numbers**
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- Change beta feature flag to use v2/BulkHostedNumberOrders
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[2024-12-13] Version 9.4.1
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--------------------------
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**Library - Fix**

‎twilio/rest/api/v2010/account/call/transcription.py

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@@ -287,7 +287,7 @@ def create(
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:param speech_model: Recognition model used by the transcription engine, among those supported by the provider
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:param hints: A Phrase contains words and phrase \\\"hints\\\" so that the speech recognition engine is more likely to recognize them.
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:param enable_automatic_punctuation: The provider will add punctuation to recognition result
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:param intelligence_service: The SID or the unique name of the [IntelligentService](https://www.twilio.com/docs/voice/intelligence/api/service-resource) to process the transcription.
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:param intelligence_service: The SID or the unique name of the [Voice Intelligence Service](https://www.twilio.com/docs/voice/intelligence/api/service-resource) to process the transcription.
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:returns: The created TranscriptionInstance
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"""
@@ -362,7 +362,7 @@ async def create_async(
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:param speech_model: Recognition model used by the transcription engine, among those supported by the provider
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:param hints: A Phrase contains words and phrase \\\"hints\\\" so that the speech recognition engine is more likely to recognize them.
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:param enable_automatic_punctuation: The provider will add punctuation to recognition result
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:param intelligence_service: The SID or the unique name of the [IntelligentService](https://www.twilio.com/docs/voice/intelligence/api/service-resource) to process the transcription.
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:param intelligence_service: The SID or the unique name of the [Voice Intelligence Service](https://www.twilio.com/docs/voice/intelligence/api/service-resource) to process the transcription.
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:returns: The created TranscriptionInstance
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"""

‎twilio/rest/assistants/v1/assistant/assistants_knowledge.py

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@@ -32,6 +32,7 @@ class AssistantsKnowledgeInstance(InstanceResource):
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:ivar status: The status of processing the knowledge source ('QUEUED', 'PROCESSING', 'COMPLETED', 'FAILED')
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:ivar type: The type of knowledge source ('Web', 'Database', 'Text', 'File')
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:ivar url: The url of the knowledge resource.
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:ivar embedding_model: The embedding model to be used for the knowledge source.
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:ivar date_created: The date and time in GMT when the Knowledge was created specified in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format.
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:ivar date_updated: The date and time in GMT when the Knowledge was last updated specified in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format.
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"""
@@ -55,6 +56,7 @@ def __init__(
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self.status: Optional[str] = payload.get("status")
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self.type: Optional[str] = payload.get("type")
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self.url: Optional[str] = payload.get("url")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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self.date_created: Optional[datetime] = deserialize.iso8601_datetime(
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payload.get("date_created")
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)

‎twilio/rest/assistants/v1/knowledge/__init__.py

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@@ -34,6 +34,7 @@ class AssistantsV1ServiceCreateKnowledgeRequest(object):
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:ivar name: The name of the tool.
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:ivar policy:
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:ivar type: The type of the knowledge source.
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:ivar embedding_model: The embedding model to be used for the knowledge source. It's required for 'Database' type but disallowed for other types.
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"""
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def __init__(self, payload: Dict[str, Any]):
@@ -48,6 +49,7 @@ def __init__(self, payload: Dict[str, Any]):
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KnowledgeList.AssistantsV1ServiceCreatePolicyRequest
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] = payload.get("policy")
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self.type: Optional[str] = payload.get("type")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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def to_dict(self):
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return {
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"name": self.name,
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"policy": self.policy.to_dict() if self.policy is not None else None,
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"type": self.type,
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"embedding_model": self.embedding_model,
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}
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class AssistantsV1ServiceCreatePolicyRequest(object):
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:ivar name: The name of the knowledge source.
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:ivar policy:
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:ivar type: The description of the knowledge source.
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:ivar embedding_model: The embedding model to be used for the knowledge source. It's only applicable to 'Database' type.
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"""
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def __init__(self, payload: Dict[str, Any]):
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KnowledgeList.AssistantsV1ServiceCreatePolicyRequest
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] = payload.get("policy")
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self.type: Optional[str] = payload.get("type")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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def to_dict(self):
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return {
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"name": self.name,
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"policy": self.policy.to_dict() if self.policy is not None else None,
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"type": self.type,
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"embedding_model": self.embedding_model,
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}
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"""
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:ivar status: The status of processing the knowledge source ('QUEUED', 'PROCESSING', 'COMPLETED', 'FAILED')
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:ivar type: The type of knowledge source ('Web', 'Database', 'Text', 'File')
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:ivar url: The url of the knowledge resource.
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:ivar embedding_model: The embedding model to be used for the knowledge source.
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:ivar date_created: The date and time in GMT when the Knowledge was created specified in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format.
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:ivar date_updated: The date and time in GMT when the Knowledge was last updated specified in [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601) format.
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"""
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self.status: Optional[str] = payload.get("status")
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self.type: Optional[str] = payload.get("type")
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self.url: Optional[str] = payload.get("url")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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self.date_created: Optional[datetime] = deserialize.iso8601_datetime(
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payload.get("date_created")
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)
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:ivar name: The name of the tool.
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:ivar policy:
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:ivar type: The type of the knowledge source.
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:ivar embedding_model: The embedding model to be used for the knowledge source. It's required for 'Database' type but disallowed for other types.
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"""
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def __init__(self, payload: Dict[str, Any]):
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KnowledgeList.AssistantsV1ServiceCreatePolicyRequest
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] = payload.get("policy")
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self.type: Optional[str] = payload.get("type")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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def to_dict(self):
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return {
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"name": self.name,
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"policy": self.policy.to_dict() if self.policy is not None else None,
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"type": self.type,
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"embedding_model": self.embedding_model,
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}
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class AssistantsV1ServiceCreatePolicyRequest(object):
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:ivar name: The name of the knowledge source.
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:ivar policy:
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:ivar type: The description of the knowledge source.
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:ivar embedding_model: The embedding model to be used for the knowledge source. It's only applicable to 'Database' type.
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"""
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def __init__(self, payload: Dict[str, Any]):
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KnowledgeList.AssistantsV1ServiceCreatePolicyRequest
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] = payload.get("policy")
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self.type: Optional[str] = payload.get("type")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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def to_dict(self):
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"name": self.name,
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"policy": self.policy.to_dict() if self.policy is not None else None,
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"type": self.type,
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"embedding_model": self.embedding_model,
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def __init__(self, version: Version, id: str):
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:ivar name: The name of the tool.
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:ivar policy:
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:ivar type: The type of the knowledge source.
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:ivar embedding_model: The embedding model to be used for the knowledge source. It's required for 'Database' type but disallowed for other types.
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def __init__(self, payload: Dict[str, Any]):
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KnowledgeList.AssistantsV1ServiceCreatePolicyRequest
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] = payload.get("policy")
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self.type: Optional[str] = payload.get("type")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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def to_dict(self):
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"name": self.name,
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"policy": self.policy.to_dict() if self.policy is not None else None,
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"type": self.type,
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"embedding_model": self.embedding_model,
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class AssistantsV1ServiceCreatePolicyRequest(object):
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:ivar name: The name of the knowledge source.
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:ivar policy:
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:ivar type: The description of the knowledge source.
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:ivar embedding_model: The embedding model to be used for the knowledge source. It's only applicable to 'Database' type.
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def __init__(self, payload: Dict[str, Any]):
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KnowledgeList.AssistantsV1ServiceCreatePolicyRequest
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] = payload.get("policy")
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self.type: Optional[str] = payload.get("type")
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self.embedding_model: Optional[str] = payload.get("embedding_model")
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def to_dict(self):
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return {
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"name": self.name,
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"policy": self.policy.to_dict() if self.policy is not None else None,
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"type": self.type,
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"embedding_model": self.embedding_model,
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def __init__(self, version: Version):

‎twilio/rest/content/v1/content/__init__.py

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"""
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:ivar label:
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:ivar text:
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:ivar options:
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"""
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def __init__(self, payload: Dict[str, Any]):
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self.label: Optional[str] = payload.get("label")
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self.type: Optional[str] = payload.get("type")
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self.text: Optional[str] = payload.get("text")
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self.options: Optional[List[ContentList.FlowsPageComponentSelectItem]] = (
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payload.get("options")
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def to_dict(self):
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return {
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"label": self.label,
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"type": self.type,
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"text": self.text,
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"options": (
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else None
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),
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class FlowsPageComponentSelectItem(object):
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"""
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:ivar id:
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:ivar title:
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def __init__(self, payload: Dict[str, Any]):
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self.id: Optional[str] = payload.get("id")
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class ListItem(object):
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def to_dict(self):
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class FlowsPageComponentSelectItem(object):
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class ListItem(object):
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class ListItem(object):

‎twilio/rest/conversations/v1/address_configuration.py

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MESSENGER = "messenger"
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GBM = "gbm"
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EMAIL = "email"
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RCS = "rcs"
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"""
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:ivar sid: A 34 character string that uniquely identifies this resource.

‎twilio/rest/insights/v1/call/call_summary.py

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SIP = "sip"
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WHATSAPP = "whatsapp"
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class ProcessingState(object):
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‎twilio/rest/insights/v1/call_summaries.py

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WHATSAPP = "whatsapp"
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class ProcessingState(object):
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COMPLETE = "complete"

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