Version 1.3.1

Author: Austin Zielman

abacusai/api_class/abstract.py

@@ -2,10 +2,17 @@
 import datetime
 import inspect
 import re
+import sys
 from abc import ABC
 from copy import deepcopy
 from textwrap import dedent
-from typing import Any, Callable, get_origin, get_type_hints
+from typing import Any, Callable, get_type_hints
+
+
+if sys.version_info >= (3, 8):
+    from typing import get_origin
+else:
+    from typing_inspect import get_origin
 
 from .enums import ApiEnum
 

abacusai/deployment_conversation_event.py

@@ -29,9 +29,11 @@ class DeploymentConversationEvent(AbstractApiClass):
             segments (list): The segments of the message.
             streamedData (str): Aggregated streamed messages from the agent.
             streamedSectionData (str): Aggregated streamed section outputs from the agent in a list.
+            llmDisplayName (str): The display name of the LLM model used to generate the response. Only used for system-created bots.
+            llmBotIcon (str): The icon location of the LLM model used to generate the response. Only used for system-created bots.
     """
 
-    def __init__(self, client, role=None, text=None, timestamp=None, messageIndex=None, regenerateAttempt=None, modelVersion=None, searchResults=None, isUseful=None, feedback=None, feedbackType=None, docInfos=None, keywordArguments=None, inputParams=None, attachments=None, responseVersion=None, agentWorkflowNodeId=None, chatType=None, agentResponse=None, error=None, segments=None, streamedData=None, streamedSectionData=None):
+    def __init__(self, client, role=None, text=None, timestamp=None, messageIndex=None, regenerateAttempt=None, modelVersion=None, searchResults=None, isUseful=None, feedback=None, feedbackType=None, docInfos=None, keywordArguments=None, inputParams=None, attachments=None, responseVersion=None, agentWorkflowNodeId=None, chatType=None, agentResponse=None, error=None, segments=None, streamedData=None, streamedSectionData=None, llmDisplayName=None, llmBotIcon=None):
         super().__init__(client, None)
         self.role = role
         self.text = text
@@ -55,11 +57,13 @@ def __init__(self, client, role=None, text=None, timestamp=None, messageIndex=No
         self.segments = segments
         self.streamed_data = streamedData
         self.streamed_section_data = streamedSectionData
+        self.llm_display_name = llmDisplayName
+        self.llm_bot_icon = llmBotIcon
         self.deprecated_keys = {}
 
     def __repr__(self):
-        repr_dict = {f'role': repr(self.role), f'text': repr(self.text), f'timestamp': repr(self.timestamp), f'message_index': repr(self.message_index), f'regenerate_attempt': repr(self.regenerate_attempt), f'model_version': repr(self.model_version), f'search_results': repr(self.search_results), f'is_useful': repr(self.is_useful), f'feedback': repr(self.feedback), f'feedback_type': repr(self.feedback_type), f'doc_infos': repr(self.doc_infos), f'keyword_arguments': repr(
-            self.keyword_arguments), f'input_params': repr(self.input_params), f'attachments': repr(self.attachments), f'response_version': repr(self.response_version), f'agent_workflow_node_id': repr(self.agent_workflow_node_id), f'chat_type': repr(self.chat_type), f'agent_response': repr(self.agent_response), f'error': repr(self.error), f'segments': repr(self.segments), f'streamed_data': repr(self.streamed_data), f'streamed_section_data': repr(self.streamed_section_data)}
+        repr_dict = {f'role': repr(self.role), f'text': repr(self.text), f'timestamp': repr(self.timestamp), f'message_index': repr(self.message_index), f'regenerate_attempt': repr(self.regenerate_attempt), f'model_version': repr(self.model_version), f'search_results': repr(self.search_results), f'is_useful': repr(self.is_useful), f'feedback': repr(self.feedback), f'feedback_type': repr(self.feedback_type), f'doc_infos': repr(self.doc_infos), f'keyword_arguments': repr(self.keyword_arguments), f'input_params': repr(
+            self.input_params), f'attachments': repr(self.attachments), f'response_version': repr(self.response_version), f'agent_workflow_node_id': repr(self.agent_workflow_node_id), f'chat_type': repr(self.chat_type), f'agent_response': repr(self.agent_response), f'error': repr(self.error), f'segments': repr(self.segments), f'streamed_data': repr(self.streamed_data), f'streamed_section_data': repr(self.streamed_section_data), f'llm_display_name': repr(self.llm_display_name), f'llm_bot_icon': repr(self.llm_bot_icon)}
         class_name = "DeploymentConversationEvent"
         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])
@@ -72,6 +76,6 @@ def to_dict(self):
         Returns:
             dict: The dict value representation of the class parameters
         """
-        resp = {'role': self.role, 'text': self.text, 'timestamp': self.timestamp, 'message_index': self.message_index, 'regenerate_attempt': self.regenerate_attempt, 'model_version': self.model_version, 'search_results': self.search_results, 'is_useful': self.is_useful, 'feedback': self.feedback, 'feedback_type': self.feedback_type, 'doc_infos': self.doc_infos, 'keyword_arguments': self.keyword_arguments,
-                'input_params': self.input_params, 'attachments': self.attachments, 'response_version': self.response_version, 'agent_workflow_node_id': self.agent_workflow_node_id, 'chat_type': self.chat_type, 'agent_response': self.agent_response, 'error': self.error, 'segments': self.segments, 'streamed_data': self.streamed_data, 'streamed_section_data': self.streamed_section_data}
+        resp = {'role': self.role, 'text': self.text, 'timestamp': self.timestamp, 'message_index': self.message_index, 'regenerate_attempt': self.regenerate_attempt, 'model_version': self.model_version, 'search_results': self.search_results, 'is_useful': self.is_useful, 'feedback': self.feedback, 'feedback_type': self.feedback_type, 'doc_infos': self.doc_infos, 'keyword_arguments': self.keyword_arguments, 'input_params': self.input_params,
+                'attachments': self.attachments, 'response_version': self.response_version, 'agent_workflow_node_id': self.agent_workflow_node_id, 'chat_type': self.chat_type, 'agent_response': self.agent_response, 'error': self.error, 'segments': self.segments, 'streamed_data': self.streamed_data, 'streamed_section_data': self.streamed_section_data, 'llm_display_name': self.llm_display_name, 'llm_bot_icon': self.llm_bot_icon}
         return {key: value for key, value in resp.items() if value is not None and key not in self.deprecated_keys}

abacusai/requirements.txt

@@ -1,2 +1,4 @@
 requests >= 2.22.0
 packaging >= 20.1
+typing_inspect
+python_version < "3.8"

docs/_sources/autoapi/abacusai/deployment_conversation_event/index.rst.txt

@@ -17,7 +17,7 @@ Classes
 
 
 
-.. py:class:: DeploymentConversationEvent(client, role=None, text=None, timestamp=None, messageIndex=None, regenerateAttempt=None, modelVersion=None, searchResults=None, isUseful=None, feedback=None, feedbackType=None, docInfos=None, keywordArguments=None, inputParams=None, attachments=None, responseVersion=None, agentWorkflowNodeId=None, chatType=None, agentResponse=None, error=None, segments=None, streamedData=None, streamedSectionData=None)
+.. py:class:: DeploymentConversationEvent(client, role=None, text=None, timestamp=None, messageIndex=None, regenerateAttempt=None, modelVersion=None, searchResults=None, isUseful=None, feedback=None, feedbackType=None, docInfos=None, keywordArguments=None, inputParams=None, attachments=None, responseVersion=None, agentWorkflowNodeId=None, chatType=None, agentResponse=None, error=None, segments=None, streamedData=None, streamedSectionData=None, llmDisplayName=None, llmBotIcon=None)
 
 
    Bases: :py:obj:`abacusai.return_class.AbstractApiClass`
@@ -70,6 +70,10 @@ Classes
    :type streamedData: str
    :param streamedSectionData: Aggregated streamed section outputs from the agent in a list.
    :type streamedSectionData: str
+   :param llmDisplayName: The display name of the LLM model used to generate the response. Only used for system-created bots.
+   :type llmDisplayName: str
+   :param llmBotIcon: The icon location of the LLM model used to generate the response. Only used for system-created bots.
+   :type llmBotIcon: str
 
    .. py:method:: __repr__()