Version 1.4.91

Author: gyanendra8

abacusai/__init__.py

@@ -160,6 +160,7 @@
 from .inferred_database_column_to_feature_mappings import InferredDatabaseColumnToFeatureMappings
 from .inferred_feature_mappings import InferredFeatureMappings
 from .item_statistics import ItemStatistics
+from .last_selected_bot import LastSelectedBot
 from .lip_sync_gen_settings import LipSyncGenSettings
 from .llm_app import LlmApp
 from .llm_artifact import LlmArtifact
@@ -174,6 +175,7 @@
 from .mcp_server import McpServer
 from .mcp_server_connection import McpServerConnection
 from .mcp_server_query_result import McpServerQueryResult
+from .media_artifact import MediaArtifact
 from .memory_options import MemoryOptions
 from .messaging_connector_response import MessagingConnectorResponse
 from .mobile_app_build_status import MobileAppBuildStatus
@@ -305,4 +307,4 @@
 from .workflow_node_template import WorkflowNodeTemplate
 
 
-__version__ = "1.4.90"
+__version__ = "1.4.91"

abacusai/agent_skill.py

@@ -15,11 +15,12 @@ class AgentSkill(AbstractApiClass):
             systemCreated (bool): Whether this skill was created by the system.
             enabled (bool): Whether the skill is currently enabled.
             default (bool): Whether this skill is a default skill.
+            display (bool): Whether this skill should be displayed prominently in the dropdown.
             createdAt (str): The timestamp when the skill was created.
             updatedAt (str): The timestamp when the skill was last updated.
     """
 
-    def __init__(self, client, agentSkillId=None, skillName=None, description=None, skillDirectoryName=None, chatllmProjectId=None, systemCreated=None, enabled=None, default=None, createdAt=None, updatedAt=None):
+    def __init__(self, client, agentSkillId=None, skillName=None, description=None, skillDirectoryName=None, chatllmProjectId=None, systemCreated=None, enabled=None, default=None, display=None, createdAt=None, updatedAt=None):
         super().__init__(client, agentSkillId)
         self.agent_skill_id = agentSkillId
         self.skill_name = skillName
@@ -29,13 +30,14 @@ def __init__(self, client, agentSkillId=None, skillName=None, description=None,
         self.system_created = systemCreated
         self.enabled = enabled
         self.default = default
+        self.display = display
         self.created_at = createdAt
         self.updated_at = updatedAt
         self.deprecated_keys = {}
 
     def __repr__(self):
         repr_dict = {f'agent_skill_id': repr(self.agent_skill_id), f'skill_name': repr(self.skill_name), f'description': repr(self.description), f'skill_directory_name': repr(self.skill_directory_name), f'chatllm_project_id': repr(
-            self.chatllm_project_id), f'system_created': repr(self.system_created), f'enabled': repr(self.enabled), f'default': repr(self.default), f'created_at': repr(self.created_at), f'updated_at': repr(self.updated_at)}
+            self.chatllm_project_id), f'system_created': repr(self.system_created), f'enabled': repr(self.enabled), f'default': repr(self.default), f'display': repr(self.display), f'created_at': repr(self.created_at), f'updated_at': repr(self.updated_at)}
         class_name = "AgentSkill"
         repr_str = ',\n  '.join([f'{key}={value}' for key, value in repr_dict.items(
         ) if getattr(self, key, None) is not None and key not in self.deprecated_keys])
@@ -48,6 +50,6 @@ def to_dict(self):
         Returns:
             dict: The dict value representation of the class parameters
         """
-        resp = {'agent_skill_id': self.agent_skill_id, 'skill_name': self.skill_name, 'description': self.description, 'skill_directory_name': self.skill_directory_name,
-                'chatllm_project_id': self.chatllm_project_id, 'system_created': self.system_created, 'enabled': self.enabled, 'default': self.default, 'created_at': self.created_at, 'updated_at': self.updated_at}
+        resp = {'agent_skill_id': self.agent_skill_id, 'skill_name': self.skill_name, 'description': self.description, 'skill_directory_name': self.skill_directory_name, 'chatllm_project_id': self.chatllm_project_id,
+                'system_created': self.system_created, 'enabled': self.enabled, 'default': self.default, 'display': self.display, 'created_at': self.created_at, 'updated_at': self.updated_at}
         return {key: value for key, value in resp.items() if value is not None and key not in self.deprecated_keys}

abacusai/api_class/enums.py

@@ -428,6 +428,7 @@ class ApplicationConnectorType(ApiEnum):
     BIGQUERY = 'BIGQUERY'
     AZURESTORAGE = 'AZURESTORAGE'
     SHOPIFY = 'SHOPIFY'
+    SNOWFLAKEUSER = 'SNOWFLAKEUSER'
 
     @classmethod
     def user_connectors(cls):
@@ -450,12 +451,13 @@ def user_connectors(cls):
             cls.GENERIC_OAUTH,
             cls.OUTLOOK,
             cls.BIGQUERY,
-            cls.SHOPIFY
+            cls.SHOPIFY,
+            cls.SNOWFLAKEUSER,
         ]
 
     @classmethod
     def database_connectors(cls):
-        return [cls.SALESFORCE, cls.ODBC, cls.DBC, cls.BIGQUERY]
+        return [cls.SALESFORCE, cls.ODBC, cls.DBC, cls.BIGQUERY, cls.SNOWFLAKEUSER]
 
 
 class StreamingConnectorType(ApiEnum):
@@ -598,9 +600,14 @@ class LLMName(ApiEnum):
     QWEN3_32B = 'QWEN3_32B'
     QWEN3_235B_A22B = 'QWEN3_235B_A22B'
     QWEN3_CODER = 'QWEN3_CODER'
+    QWEN3_6 = 'QWEN3_6'
+    QWEN3_6_THINKING = 'QWEN3_6_THINKING'
     DEEPSEEK_V3_1 = 'DEEPSEEK_V3_1'
     DEEPSEEK_R1 = 'DEEPSEEK_R1'
     MINIMAX_M2_7 = 'MINIMAX_M2_7'
+    XIAOMI_MIMO_V2_PRO = 'XIAOMI_MIMO_V2_PRO'
+    GEMMA_4_31B = 'GEMMA_4_31B'
+    ZAI_GLM_5_1 = 'ZAI_GLM_5_1'
 
 
 class MonitorAlertType(ApiEnum):
@@ -884,6 +891,13 @@ class DaemonTaskLifecycleUpdateAction(ApiEnum):
     RESUME = 'RESUME'
 
 
+class MediaArtifactType(ApiEnum):
+    """Type of media artifact"""
+    IMAGE = 'IMAGE'
+    VIDEO = 'VIDEO'
+    AUDIO = 'AUDIO'
+
+
 class VerticalType(ApiEnum):
     """Vertical types for specialized external applications."""
     HEALTH = 'HEALTH'

abacusai/client.py

@@ -716,7 +716,7 @@ class BaseApiClient:
         client_options (ClientOptions): Optional API client configurations
         skip_version_check (bool): If true, will skip checking the server's current API version on initializing the client
     """
-    client_version = '1.4.90'
+    client_version = '1.4.91'
 
     def __init__(self, api_key: str = None, server: str = None, client_options: ClientOptions = None, skip_version_check: bool = False, include_tb: bool = False):
         self.api_key = api_key
@@ -5235,7 +5235,7 @@ def create_project(self, name: str, use_case: str) -> Project:
 
         Args:
             name (str): The project's name.
-            use_case (str): The use case that the project solves. Refer to our [guide on use cases](https://api.abacus.ai/app/help/developer-platform/useCases) for further details of each use case. The following enums are currently available for you to choose from:  LANGUAGE_DETECTION,  NLP_SENTIMENT,  NLP_SEARCH,  NLP_CHAT,  CHAT_LLM,  NLP_SENTENCE_BOUNDARY_DETECTION,  NLP_CLASSIFICATION,  NLP_SUMMARIZATION,  NLP_DOCUMENT_VISUALIZATION,  AI_AGENT,  EMBEDDINGS_ONLY,  MODEL_WITH_EMBEDDINGS,  TORCH_MODEL,  TORCH_MODEL_WITH_EMBEDDINGS,  PYTHON_MODEL,  NOTEBOOK_PYTHON_MODEL,  DOCKER_MODEL,  DOCKER_MODEL_WITH_EMBEDDINGS,  CUSTOMER_CHURN,  ENERGY,  EVENT_ANOMALY_DETECTION,  FINANCIAL_METRICS,  CUMULATIVE_FORECASTING,  FRAUD_ACCOUNT,  FRAUD_TRANSACTIONS,  CLOUD_SPEND,  TIMESERIES_ANOMALY,  OPERATIONS_MAINTENANCE,  PERS_PROMOTIONS,  PREDICTING,  FEATURE_STORE,  RETAIL,  SALES_FORECASTING,  SALES_SCORING,  FEED_RECOMMEND,  USER_RANKINGS,  NAMED_ENTITY_RECOGNITION,  USER_RECOMMENDATIONS,  USER_RELATED,  VISION,  VISION_REGRESSION,  VISION_OBJECT_DETECTION,  FEATURE_DRIFT,  SCHEDULING,  GENERIC_FORECASTING,  PRETRAINED_IMAGE_TEXT_DESCRIPTION,  PRETRAINED_SPEECH_RECOGNITION,  PRETRAINED_STYLE_TRANSFER,  PRETRAINED_TEXT_TO_IMAGE_GENERATION,  PRETRAINED_OCR_DOCUMENT_TO_TEXT,  THEME_ANALYSIS,  CLUSTERING,  CLUSTERING_TIMESERIES,  FINETUNED_LLM,  PRETRAINED_INSTRUCT_PIX2PIX,  PRETRAINED_TEXT_CLASSIFICATION.
+            use_case (str): The use case that the project solves. Refer to our [guide on use cases](https://api.abacus.ai/app/help/developer-platform/useCases) for further details of each use case. The following enums are currently available for you to choose from:  LANGUAGE_DETECTION,  NLP_SENTIMENT,  NLP_SEARCH,  NLP_CHAT,  CHAT_LLM,  NLP_SENTENCE_BOUNDARY_DETECTION,  NLP_CLASSIFICATION,  NLP_SUMMARIZATION,  NLP_DOCUMENT_VISUALIZATION,  AI_AGENT,  PYTHON_MODEL,  NOTEBOOK_PYTHON_MODEL,  CUSTOMER_CHURN,  ENERGY,  EVENT_ANOMALY_DETECTION,  FINANCIAL_METRICS,  CUMULATIVE_FORECASTING,  FRAUD_ACCOUNT,  FRAUD_TRANSACTIONS,  CLOUD_SPEND,  TIMESERIES_ANOMALY,  OPERATIONS_MAINTENANCE,  PERS_PROMOTIONS,  PREDICTING,  FEATURE_STORE,  RETAIL,  SALES_FORECASTING,  SALES_SCORING,  FEED_RECOMMEND,  USER_RANKINGS,  NAMED_ENTITY_RECOGNITION,  USER_RECOMMENDATIONS,  USER_RELATED,  VISION,  VISION_REGRESSION,  VISION_OBJECT_DETECTION,  FEATURE_DRIFT,  SCHEDULING,  GENERIC_FORECASTING,  PRETRAINED_IMAGE_TEXT_DESCRIPTION,  PRETRAINED_SPEECH_RECOGNITION,  PRETRAINED_STYLE_TRANSFER,  PRETRAINED_TEXT_TO_IMAGE_GENERATION,  PRETRAINED_OCR_DOCUMENT_TO_TEXT,  THEME_ANALYSIS,  CLUSTERING,  CLUSTERING_TIMESERIES,  FINETUNED_LLM,  PRETRAINED_INSTRUCT_PIX2PIX,  PRETRAINED_TEXT_CLASSIFICATION.
 
         Returns:
             Project: This object represents the newly created project."""