AI Logs

patch

https://app.financekey.com/OData/AILogs({key})

The AILog table in the AI package is designed to store and track the AI's decision-making process and actions. It provides a detailed record of all inputs, outputs, and strategies used by the AI, making it an essential resource for analyzing and improving its performance. The table contains fields such as datestamp, user ID, and action descriptions, allowing for a comprehensive view of the AI's behavior over time. With the AILog table, developers can gain valuable insights into the AI's decision-making algorithms and make informed adjustments for better results.

Recent Requests

Time	Status	User Agent
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Path Params

key

string

required

Body Params

aiLogId

int32

The AILogId field in the AILog table is a unique identifier that is assigned to each record in the table. It is of data type int, meaning it is an integer that can contain positive and negative whole numbers. This field serves as the primary key for the AILog table, allowing for efficient retrieval and organization of data. Each AILogId value is automatically generated and cannot be duplicated, ensuring the integrity and accuracy of the data in the AILog table. It serves as a crucial component in tracking and analyzing AI behavior and patterns, providing essential insights into the functioning and performance of artificial intelligence systems. With its reliable and consistent format, the AILogId field plays an essential role in the successful management of data in the AILog table.

request

string | null

The Request field in the AILog table is of type nvarchar and is used to store data related to a request made to the system. This could include information such as user inputs, API calls, or other queries. The nvarchar data type allows for the storage of both numeric and character data, making it suitable for a wide range of request scenarios. This field plays an important role in recording and tracking user activity and system usage within the AILog table.

response

string | null

The Response field in the AILog table is of nvarchar data type and is used to store the response data received from an artificial intelligence system. It can contain a variety of text and characters, including special symbols and numerical data. This field is essential for tracking and analyzing the output of the AI system and can provide valuable insights into its performance and accuracy. The nvarchar data type ensures that the information is stored efficiently, allowing for easy retrieval and manipulation of the response data. It is an important component of the AILog table, providing a comprehensive record of the system's interactions and outputs.

requestCount

int32

The RequestCount field in the AILog table is an integer data type that tracks the number of requests made to the system. This field is used to keep a record of the total number of requests over a period of time, providing valuable insights into system usage and performance. It can be used to identify trends and patterns in user behavior, as well as potential issues that may arise from a high number of requests. This field is essential for monitoring and optimizing the system's response time and ensuring a smooth user experience.

Headers

content-type

string

enum

Defaults to application/json;odata.metadata=minimal;odata.streaming=true

Generated from available request content types

Response

200

Language

URL

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Response

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