Version 1.4.20

Author: quantumfusion

abacusai/__init__.py

@@ -27,6 +27,8 @@
 from .chat_session import ChatSession
 from .chatllm_referral_invite import ChatllmReferralInvite
 from .client import AgentResponse, ApiClient, ApiException, ClientOptions, ReadOnlyClient, _request_context
+from .code_autocomplete_response import CodeAutocompleteResponse
+from .code_edit_response import CodeEditResponse
 from .code_source import CodeSource
 from .compute_point_info import ComputePointInfo
 from .concatenation_config import ConcatenationConfig
@@ -111,6 +113,7 @@
 from .holdout_analysis import HoldoutAnalysis
 from .holdout_analysis_version import HoldoutAnalysisVersion
 from .hosted_model_token import HostedModelToken
+from .image_gen_settings import ImageGenSettings
 from .indexing_config import IndexingConfig
 from .inferred_database_column_to_feature_mappings import InferredDatabaseColumnToFeatureMappings
 from .inferred_feature_mappings import InferredFeatureMappings
@@ -221,4 +224,4 @@
 from .workflow_node_template import WorkflowNodeTemplate
 
 
-__version__ = "1.4.19"
+__version__ = "1.4.20"

abacusai/agent.py

@@ -23,10 +23,11 @@ class Agent(AbstractApiClass):
             agentExecutionConfig (dict): The config for arguments used to execute the agent.
             latestAgentVersion (AgentVersion): The latest agent version.
             codeSource (CodeSource): If a python model, information on the source code
+            draftWorkflowGraph (WorkflowGraph): The saved draft state of the workflow graph for the agent.
             workflowGraph (WorkflowGraph): The workflow graph for the agent.
     """
 
-    def __init__(self, client, name=None, agentId=None, createdAt=None, projectId=None, notebookId=None, predictFunctionName=None, sourceCode=None, agentConfig=None, memory=None, trainingRequired=None, agentExecutionConfig=None, codeSource={}, latestAgentVersion={}, workflowGraph={}):
+    def __init__(self, client, name=None, agentId=None, createdAt=None, projectId=None, notebookId=None, predictFunctionName=None, sourceCode=None, agentConfig=None, memory=None, trainingRequired=None, agentExecutionConfig=None, codeSource={}, latestAgentVersion={}, draftWorkflowGraph={}, workflowGraph={}):
         super().__init__(client, agentId)
         self.name = name
         self.agent_id = agentId
@@ -42,12 +43,14 @@ def __init__(self, client, name=None, agentId=None, createdAt=None, projectId=No
         self.code_source = client._build_class(CodeSource, codeSource)
         self.latest_agent_version = client._build_class(
             AgentVersion, latestAgentVersion)
+        self.draft_workflow_graph = client._build_class(
+            WorkflowGraph, draftWorkflowGraph)
         self.workflow_graph = client._build_class(WorkflowGraph, workflowGraph)
         self.deprecated_keys = {}
 
     def __repr__(self):
-        repr_dict = {f'name': repr(self.name), f'agent_id': repr(self.agent_id), f'created_at': repr(self.created_at), f'project_id': repr(self.project_id), f'notebook_id': repr(self.notebook_id), f'predict_function_name': repr(self.predict_function_name), f'source_code': repr(self.source_code), f'agent_config': repr(
-            self.agent_config), f'memory': repr(self.memory), f'training_required': repr(self.training_required), f'agent_execution_config': repr(self.agent_execution_config), f'code_source': repr(self.code_source), f'latest_agent_version': repr(self.latest_agent_version), f'workflow_graph': repr(self.workflow_graph)}
+        repr_dict = {f'name': repr(self.name), f'agent_id': repr(self.agent_id), f'created_at': repr(self.created_at), f'project_id': repr(self.project_id), f'notebook_id': repr(self.notebook_id), f'predict_function_name': repr(self.predict_function_name), f'source_code': repr(self.source_code), f'agent_config': repr(self.agent_config), f'memory': repr(
+            self.memory), f'training_required': repr(self.training_required), f'agent_execution_config': repr(self.agent_execution_config), f'code_source': repr(self.code_source), f'latest_agent_version': repr(self.latest_agent_version), f'draft_workflow_graph': repr(self.draft_workflow_graph), f'workflow_graph': repr(self.workflow_graph)}
         class_name = "Agent"
         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])
@@ -60,8 +63,8 @@ def to_dict(self):
         Returns:
             dict: The dict value representation of the class parameters
         """
-        resp = {'name': self.name, 'agent_id': self.agent_id, 'created_at': self.created_at, 'project_id': self.project_id, 'notebook_id': self.notebook_id, 'predict_function_name': self.predict_function_name, 'source_code': self.source_code, 'agent_config': self.agent_config, 'memory': self.memory,
-                'training_required': self.training_required, 'agent_execution_config': self.agent_execution_config, 'code_source': self._get_attribute_as_dict(self.code_source), 'latest_agent_version': self._get_attribute_as_dict(self.latest_agent_version), 'workflow_graph': self._get_attribute_as_dict(self.workflow_graph)}
+        resp = {'name': self.name, 'agent_id': self.agent_id, 'created_at': self.created_at, 'project_id': self.project_id, 'notebook_id': self.notebook_id, 'predict_function_name': self.predict_function_name, 'source_code': self.source_code, 'agent_config': self.agent_config, 'memory': self.memory, 'training_required': self.training_required,
+                'agent_execution_config': self.agent_execution_config, 'code_source': self._get_attribute_as_dict(self.code_source), 'latest_agent_version': self._get_attribute_as_dict(self.latest_agent_version), 'draft_workflow_graph': self._get_attribute_as_dict(self.draft_workflow_graph), 'workflow_graph': self._get_attribute_as_dict(self.workflow_graph)}
         return {key: value for key, value in resp.items() if value is not None and key not in self.deprecated_keys}
 
     def refresh(self):

abacusai/batch_prediction.py

@@ -84,7 +84,7 @@ def __init__(self, client, batchPredictionId=None, createdAt=None, name=None, de
             BatchPredictionArgs, globalPredictionArgs)
         self.batch_prediction_args = client._build_class(getattr(
             api_class, batchPredictionArgsType, BatchPredictionArgs) if batchPredictionArgsType else BatchPredictionArgs, batchPredictionArgs)
-        self.deprecated_keys = {'explanations', 'global_prediction_args'}
+        self.deprecated_keys = {'global_prediction_args', 'explanations'}
 
     def __repr__(self):
         repr_dict = {f'batch_prediction_id': repr(self.batch_prediction_id), f'created_at': repr(self.created_at), f'name': repr(self.name), f'deployment_id': repr(self.deployment_id), f'file_connector_output_location': repr(self.file_connector_output_location), f'database_connector_id': repr(self.database_connector_id), f'database_output_configuration': repr(self.database_output_configuration), f'file_output_format': repr(self.file_output_format), f'connector_type': repr(self.connector_type), f'legacy_input_location': repr(self.legacy_input_location), f'output_feature_group_id': repr(self.output_feature_group_id), f'feature_group_table_name': repr(self.feature_group_table_name), f'output_feature_group_table_name': repr(self.output_feature_group_table_name), f'summary_feature_group_table_name': repr(self.summary_feature_group_table_name), f'csv_input_prefix': repr(

abacusai/batch_prediction_version.py

@@ -100,7 +100,7 @@ def __init__(self, client, batchPredictionVersion=None, batchPredictionId=None,
             BatchPredictionArgs, globalPredictionArgs)
         self.batch_prediction_args = client._build_class(getattr(
             api_class, batchPredictionArgsType, BatchPredictionArgs) if batchPredictionArgsType else BatchPredictionArgs, batchPredictionArgs)
-        self.deprecated_keys = {'explanations', 'global_prediction_args'}
+        self.deprecated_keys = {'global_prediction_args', 'explanations'}
 
     def __repr__(self):
         repr_dict = {f'batch_prediction_version': repr(self.batch_prediction_version), f'batch_prediction_id': repr(self.batch_prediction_id), f'status': repr(self.status), f'drift_monitor_status': repr(self.drift_monitor_status), f'deployment_id': repr(self.deployment_id), f'model_id': repr(self.model_id), f'model_version': repr(self.model_version), f'predictions_started_at': repr(self.predictions_started_at), f'predictions_completed_at': repr(self.predictions_completed_at), f'database_output_error': repr(self.database_output_error), f'total_predictions': repr(self.total_predictions), f'failed_predictions': repr(self.failed_predictions), f'database_connector_id': repr(self.database_connector_id), f'database_output_configuration': repr(self.database_output_configuration), f'file_connector_output_location': repr(self.file_connector_output_location), f'file_output_format': repr(self.file_output_format), f'connector_type': repr(self.connector_type), f'legacy_input_location': repr(self.legacy_input_location), f'error': repr(self.error), f'drift_monitor_error': repr(self.drift_monitor_error), f'monitor_warnings': repr(self.monitor_warnings), f'csv_input_prefix': repr(