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Version 1.4.47
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‎abacusai/__init__.py

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -157,6 +157,7 @@
157157
from .llm_parameters import LlmParameters
158158
from .llm_response import LlmResponse
159159
from .mcp_config import McpConfig
160+
from .mcp_server import McpServer
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from .memory_options import MemoryOptions
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from .messaging_connector_response import MessagingConnectorResponse
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from .model import Model
@@ -264,4 +265,4 @@
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from .workflow_node_template import WorkflowNodeTemplate
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266267

267-
__version__ = "1.4.46"
268+
__version__ = "1.4.47"

‎abacusai/batch_prediction.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -84,7 +84,7 @@ def __init__(self, client, batchPredictionId=None, createdAt=None, name=None, de
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BatchPredictionArgs, globalPredictionArgs)
8585
self.batch_prediction_args = client._build_class(getattr(
8686
api_class, batchPredictionArgsType, BatchPredictionArgs) if batchPredictionArgsType else BatchPredictionArgs, batchPredictionArgs)
87-
self.deprecated_keys = {'explanations', 'global_prediction_args'}
87+
self.deprecated_keys = {'global_prediction_args', 'explanations'}
8888

8989
def __repr__(self):
9090
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

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -100,7 +100,7 @@ def __init__(self, client, batchPredictionVersion=None, batchPredictionId=None,
100100
BatchPredictionArgs, globalPredictionArgs)
101101
self.batch_prediction_args = client._build_class(getattr(
102102
api_class, batchPredictionArgsType, BatchPredictionArgs) if batchPredictionArgsType else BatchPredictionArgs, batchPredictionArgs)
103-
self.deprecated_keys = {'explanations', 'global_prediction_args'}
103+
self.deprecated_keys = {'global_prediction_args', 'explanations'}
104104

105105
def __repr__(self):
106106
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(

‎abacusai/client.py

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -661,7 +661,7 @@ class BaseApiClient:
661661
client_options (ClientOptions): Optional API client configurations
662662
skip_version_check (bool): If true, will skip checking the server's current API version on initializing the client
663663
"""
664-
client_version = '1.4.46'
664+
client_version = '1.4.47'
665665

666666
def __init__(self, api_key: str = None, server: str = None, client_options: ClientOptions = None, skip_version_check: bool = False, include_tb: bool = False):
667667
self.api_key = api_key
@@ -7491,7 +7491,7 @@ def get_related_items(self, deployment_token: str, deployment_id: str, query_dat
74917491
deployment_id, deployment_token) if deployment_token else None
74927492
return self._call_api('getRelatedItems', 'POST', query_params={'deploymentToken': deployment_token, 'deploymentId': deployment_id}, body={'queryData': query_data, 'numItems': num_items, 'page': page, 'scalingFactors': scaling_factors, 'restrictItems': restrict_items, 'excludeItems': exclude_items}, server_override=prediction_url)
74937493

7494-
def get_chat_response(self, deployment_token: str, deployment_id: str, messages: list, llm_name: str = None, num_completion_tokens: int = None, system_message: str = None, temperature: float = 0.0, filter_key_values: dict = None, search_score_cutoff: float = None, chat_config: dict = None) -> Dict:
7494+
def get_chat_response(self, deployment_token: str, deployment_id: str, messages: list, llm_name: str = None, num_completion_tokens: int = None, system_message: str = None, temperature: float = 0.0, filter_key_values: dict = None, search_score_cutoff: float = None, chat_config: dict = None, user_info: dict = None) -> Dict:
74957495
"""Return a chat response which continues the conversation based on the input messages and search results.
74967496

74977497
Args:
@@ -7507,7 +7507,7 @@ def get_chat_response(self, deployment_token: str, deployment_id: str, messages:
75077507
chat_config (dict): A dictionary specifying the query chat config override."""
75087508
prediction_url = self._get_prediction_endpoint(
75097509
deployment_id, deployment_token) if deployment_token else None
7510-
return self._call_api('getChatResponse', 'POST', query_params={'deploymentToken': deployment_token, 'deploymentId': deployment_id}, body={'messages': messages, 'llmName': llm_name, 'numCompletionTokens': num_completion_tokens, 'systemMessage': system_message, 'temperature': temperature, 'filterKeyValues': filter_key_values, 'searchScoreCutoff': search_score_cutoff, 'chatConfig': chat_config}, server_override=prediction_url)
7510+
return self._call_api('getChatResponse', 'POST', query_params={'deploymentToken': deployment_token, 'deploymentId': deployment_id}, body={'messages': messages, 'llmName': llm_name, 'numCompletionTokens': num_completion_tokens, 'systemMessage': system_message, 'temperature': temperature, 'filterKeyValues': filter_key_values, 'searchScoreCutoff': search_score_cutoff, 'chatConfig': chat_config, 'userInfo': user_info}, server_override=prediction_url)
75117511

75127512
def get_chat_response_with_binary_data(self, deployment_token: str, deployment_id: str, messages: list, llm_name: str = None, num_completion_tokens: int = None, system_message: str = None, temperature: float = 0.0, filter_key_values: dict = None, search_score_cutoff: float = None, chat_config: dict = None, attachments: None = None) -> Dict:
75137513
"""Return a chat response which continues the conversation based on the input messages and search results.
@@ -7528,7 +7528,7 @@ def get_chat_response_with_binary_data(self, deployment_token: str, deployment_i
75287528
deployment_id, deployment_token) if deployment_token else None
75297529
return self._call_api('getChatResponseWithBinaryData', 'POST', query_params={'deploymentToken': deployment_token, 'deploymentId': deployment_id}, data={'messages': json.dumps(messages) if (messages is not None and not isinstance(messages, str)) else messages, 'llmName': json.dumps(llm_name) if (llm_name is not None and not isinstance(llm_name, str)) else llm_name, 'numCompletionTokens': json.dumps(num_completion_tokens) if (num_completion_tokens is not None and not isinstance(num_completion_tokens, str)) else num_completion_tokens, 'systemMessage': json.dumps(system_message) if (system_message is not None and not isinstance(system_message, str)) else system_message, 'temperature': json.dumps(temperature) if (temperature is not None and not isinstance(temperature, str)) else temperature, 'filterKeyValues': json.dumps(filter_key_values) if (filter_key_values is not None and not isinstance(filter_key_values, str)) else filter_key_values, 'searchScoreCutoff': json.dumps(search_score_cutoff) if (search_score_cutoff is not None and not isinstance(search_score_cutoff, str)) else search_score_cutoff, 'chatConfig': json.dumps(chat_config) if (chat_config is not None and not isinstance(chat_config, str)) else chat_config}, files=attachments, server_override=prediction_url)
75307530

7531-
def get_conversation_response(self, deployment_id: str, message: str, deployment_token: str, deployment_conversation_id: str = None, external_session_id: str = None, llm_name: str = None, num_completion_tokens: int = None, system_message: str = None, temperature: float = 0.0, filter_key_values: dict = None, search_score_cutoff: float = None, chat_config: dict = None, doc_infos: list = None) -> Dict:
7531+
def get_conversation_response(self, deployment_id: str, message: str, deployment_token: str, deployment_conversation_id: str = None, external_session_id: str = None, llm_name: str = None, num_completion_tokens: int = None, system_message: str = None, temperature: float = 0.0, filter_key_values: dict = None, search_score_cutoff: float = None, chat_config: dict = None, doc_infos: list = None, user_info: dict = None) -> Dict:
75327532
"""Return a conversation response which continues the conversation based on the input message and deployment conversation id (if exists).
75337533

75347534
Args:
@@ -7547,7 +7547,7 @@ def get_conversation_response(self, deployment_id: str, message: str, deployment
75477547
doc_infos (list): An optional list of documents use for the conversation. A keyword 'doc_id' is expected to be present in each document for retrieving contents from docstore."""
75487548
prediction_url = self._get_prediction_endpoint(
75497549
deployment_id, deployment_token) if deployment_token else None
7550-
return self._call_api('getConversationResponse', 'POST', query_params={'deploymentId': deployment_id, 'deploymentToken': deployment_token}, body={'message': message, 'deploymentConversationId': deployment_conversation_id, 'externalSessionId': external_session_id, 'llmName': llm_name, 'numCompletionTokens': num_completion_tokens, 'systemMessage': system_message, 'temperature': temperature, 'filterKeyValues': filter_key_values, 'searchScoreCutoff': search_score_cutoff, 'chatConfig': chat_config, 'docInfos': doc_infos}, server_override=prediction_url)
7550+
return self._call_api('getConversationResponse', 'POST', query_params={'deploymentId': deployment_id, 'deploymentToken': deployment_token}, body={'message': message, 'deploymentConversationId': deployment_conversation_id, 'externalSessionId': external_session_id, 'llmName': llm_name, 'numCompletionTokens': num_completion_tokens, 'systemMessage': system_message, 'temperature': temperature, 'filterKeyValues': filter_key_values, 'searchScoreCutoff': search_score_cutoff, 'chatConfig': chat_config, 'docInfos': doc_infos, 'userInfo': user_info}, server_override=prediction_url)
75517551

75527552
def get_conversation_response_with_binary_data(self, deployment_id: str, deployment_token: str, message: str, deployment_conversation_id: str = None, external_session_id: str = None, llm_name: str = None, num_completion_tokens: int = None, system_message: str = None, temperature: float = 0.0, filter_key_values: dict = None, search_score_cutoff: float = None, chat_config: dict = None, attachments: None = None) -> Dict:
75537553
"""Return a conversation response which continues the conversation based on the input message and deployment conversation id (if exists).

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