396 results about "Error message" patented technology

Computer-implemented systems and methods including language models for explaining and resolving code errors. A computer-implemented method may include: receiving or accessing a log comprising an error message, the error message indicating an error in code; determining the error message from the log; determining a context associated with the error; generating a prompt for a large language model (“LLM”), the prompt comprising at least: the error message, and the context associated with the error; transmitting the prompt to the LLM; and receiving an output from the LLM in response to the prompt, the output comprising at least: an explanation of the error message, and a suggested fix for the error.

Techniques for leveraging a large language model (LLM) in software development are described. A description of an error message associated with a software system hosted by the multi-tenant provider network is received. An LLM is prompted with an analysis prompt to generate an analysis of the error message, the analysis prompt including the description of the error message, and the analysis of the error message is received from the LLM. The LLM is prompted with a suggested resolution prompt to generate a suggested resolution to a cause of the error message, the suggested resolution prompt including the description of the error message and the analysis of the error message, and the suggested resolution is received from the LLM. A change to resolve the cause of the error message is sent to an originator of the received description, the change based at least in part on the suggested resolution.

In one embodiment, a computer-implemented method executed using one or more processors of an incident management system comprises receiving a notification of an incident associated with a computer system, and in response to receiving the notification: extracting an error message from the notification; reading a set of computer program code changes that have been implemented in the computer system; matching the error message to the set of computer program code changes and outputting a set of one or more candidate code changes that may correspond to the error message; based on the set of candidate code changes, generating an automatic remediation for the incident; and using the one or more processors of the incident management system, executing the automatic remediation on the computer system.

The invention relates to an automatic program repairing method based on data flow driving, which takes an error file and a method signature as input, and reports error information in a defect positioning tool or an integrated development environment. Secondly, handing over error information and original defect codes to a large language model, extracting an element list related to defects from the large language model, then constructing defect contexts, using a search tool to retrieve key element definitions and dependency relationships, integrating control flow and error mode information, and finally obtaining defect information; then, the retrieved information, the original defect codes and the potential defect types are integrated into cue words, and the cue words are submitted to a large language model to generate candidate patches. And then the candidate patch is verified, and if the candidate patch does not pass the verification, error reporting information during the verification is combined with the candidate patch to carry out iterative optimization until the candidate patch successfully passes all test verification or the maximum number of iterations is reached. According to the method, context semantics are enhanced by means of data flow analysis, and the repairing accuracy and efficiency are improved.

System, methods, apparatuses, and computer program products are disclosed for injecting custom information for a server while establishing end-to-end secure communications with a client via a tunneling service. A reverse proxy receives, from a client over a first transport-layer connection, a request that includes an identifier associated with an on-premises resource. The reverse proxy determines, based on the identifier, that an error prevents forwarding of the client request to the on-premises resource. In response, the reverse proxy transmits, to an error handling service (EHS) over a second transport-layer connection, a new application-layer request comprising error handling information to enable the EHS to establish, via the reverse proxy, a secure communications channel with the client using the existing first transport-layer connection and the second transport-layer connection. The reverse proxy proxies, from the EHS and to the client, an encrypted response containing an error message.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a reconfiguration message that includes a configuration error. The UE may transmit a reconfiguration error message that indicates the configuration error. Numerous other aspects are described.

According to the automatic test error-proofing detection method and detection system disclosed by the invention, after a test instruction is received, verification requests generated by bar codes of a needle bed upper mold and a needle bed lower mold are received; sending to a selected product test program to judge whether the needle bed upper die and the needle bed lower die and whether the needle bed name is matched with the current product test program or not; if not, stopping the test, otherwise, after the to-be-tested product is placed in place, receiving a serial number of the to-be-tested product generated by the bar code of the to-be-tested product, and querying and obtaining internal card binding information of the corresponding to-be-tested product; controlling the test tool to start and electrify the to-be-tested product, acquiring identity information of an internal clamping piece actually mounted in the to-be-tested product, comparing the identity information with inquired binding information of the internal clamping piece, if the identity information is consistent with the binding information of the internal clamping piece, carrying out subsequent function test, otherwise, sending error information of the internal clamping piece, and controlling the test tool to pull open an upper die and a lower die of the needle bed; therefore, automatic error-proofing detection of each module test of the industrial control system is realized.

A power transmitter (101) provides wireless power transfer to a power receiver (105) via a wireless inductive power transfer signal. The power transmitter (101) comprises transmitter coil (203) for generating the power transfer signal and a driver (201) generating a drive signal for this. A communicator (207) communicates with the power receiver (105) via a communication channel that does not use the power transfer signal as a communication carrier. A power loop controller (205) implements a power control loop by adapting a power level of the power transfer signal in response to power control error messages received from the power receiver (105). A generator (209) introduces a power level variation sequence to the power transfer signal and a validity detector (211) detects data received by the communicator (207) to be invalid data for the power transfer in response to a comparison of the power level variation sequence and power change requests of the power control error messages.

There are provided measures for error message generation and processing. Such measures exemplarily comprise, at a first network entity associated with a first network roaming interconnected with a second network, receiving a message indicative of a roaming service related error, wherein said message includes first error cause information related to said roaming service related error and addressed to said first network entity, and deciding on further handling of said message based on said first error cause information.

To achieve no code or low code parity in decentralized computing systems, disclosed implementations provide a data structure and trusted control plane that enables the creation and operation of composable objects, that is objects whose functions and properties are derived from configurable and upgradable templates. The templates are data structures that define the behavior of a collection of objects, the behaviors being the interfaces, functions, properties, events, triggers, error messages, and dependencies that define and object and its interaction with other objects and entities. Templates are configured by mapping the desired object behaviors to registered smart contract logic that affects the behaviors. Thus, complex objects can be composed without the need for new computer code. Additional logic to enable new behaviors can be added by authorized smart contract developers and, once certified, added to one or more templates to provide the objects access to the new capabilities.

Techniques are disclosed herein for providing and using a natural language to logical form model having execution and sematic error correction capabilities. In one aspect, a method is disclosed that includes: accessing a set of training examples and generating a set of error correction training examples via an iterative process performed for each training example. The iterative process includes generating an inferred logical form, executing the inferred logical form on a database, when executing the inferred logical form on the database fails, obtaining an execution error message corresponding to the failure, and recording the inferred logical form and the execution error message as part of an execution error example, and populating an error correction prompt template with the execution error example to generate an error correction training example. A machine learning model may then be trained with at least the set of error correction training examples.

After generating a first customized recovery plan to resolve a first error associated with a first error message generated by a first software application, a jobs manager obtains identities of an input system, an output system or a combination thereof associated with the first software application. In response to determining that a second software application is associated with the same or similar input system, the same or similar output system, or the combination thereof as the first software application, the jobs manager determines that the first error associated with the first software application is predicted to occur relating to the second software application. Thereafter, the jobs manager generates a second customized recovery plan for the second software application based at least in part upon the first customized recovery plan generated for the first software application.

Systems and methods for generating an enhanced error message are provided. An example method includes: receiving one or more raw error messages. The one or more raw error messages include one or more stack traces. The method further includes matching at least one raw error message of the one or more raw error messages to one or more error rules from a plurality of error rules. The one or more error rules include regular expression patterns. The method further includes parsing the at least one raw error message, based on the one or more matched error rules from the plurality of error rules; and generating one or more enhanced error messages, based on the at least one parsed raw error messages. The one or more enhanced error messages include one or more natural language sentences. The method further includes embedding the one or more enhanced error messages into a website.

Systems, methods, and other embodiments associated with error resolution and auto-correction are described. In one embodiment, a method includes, for a selected application that was executed by the computing system, accessing a system error log and identifying error messages that occurred during execution. Skipped data records that were not processed are identified. A resolving function is executed to resolve a selected error type that is associated with a group of skipped data records by: identifying an error pattern from an error message and matching it to a database of observed error patterns. In response to a match, retrieving a corrective action that is assigned to the observed error pattern and executing the corrective action to resolve the error on the group of skipped data records. The skipped data records are re-submitted and reprocessed where previous error should be resolved.

The invention relates to the technical field of display control of displayers, in particular to a display content control method, system and device of an LED information board, and the method comprises the steps: collecting temperature data, humidity data and current data of each moment in the working process of the LED information board; performing linear fitting on the temperature data to obtain the temperature change rate of each moment; based on the difference distribution characteristics of the temperature data and the preset ideal temperature, the average temperature deviation of all moments is obtained; combining the difference between the humidity data and the preset ideal humidity to obtain an environmental damage coefficient at each moment; carrying out threshold segmentation on the current data at a plurality of continuous moments, and obtaining the fault confidence of each moment in combination with the confusion degree and the autocorrelation; and judging whether the display content of the LED information board is abnormal or not, and controlling the display content of the LED information board. The invention aims to avoid negative effects caused by wrong information display due to faults of the LED information board.

A facility to ignore inaccessible volumes for software defined storage deployed in container orchestrator systems is presented herein. An example method comprises, in response to receiving error message data representative of an inaccessibility of a volume of a group of volumes being used by a container in execution on application server equipment, sending indicator data to an agent process that is monitoring execution of the container, wherein the indicator data represents a first command of a collection of commands that orders the agent process to desist from mounting the volume of the group of volumes to an accessible global space, and based on a second command, mounting a partial group of volumes to the accessible global space, wherein the partial group of volumes excludes the volume that is inaccessible, and notifying the agent process that the partial group of volumes is available in the accessible global space.

The invention relates to a computer-aided maintenance method (10) for correcting a fault condition (12) on a processing machine (14, 14a-c), comprising the method steps: a) Detecting (16) the fault condition (12) by identifying an error message (18) on the processing machine (14, 14a-c) and determining the time of the fault; b) Creating (22) a fault description (24) by determining fault data (26) at the time of the fault; c) Identifying (38) similar and / or identical fault conditions (42) by comparing (40) the fault description (24) with stored fault descriptions (42) by comparing the fault data (26) determined for the fault descriptions (24, 42); e) Issuing (50) a recommendation for action (52), including at least one suggestion for remedying the fault condition (12).

The present disclosure provides a system for managing users in a network. The system includes a processor configured to receive a request via one or more computing devices; establish a binding session with a primary control plane function based on the user session; receive an authentication authorization request (AAR) from an application function based on a session data corruption associated with the user session; transmit the AAR to the control plane function to determine a particular control plane function associated with the primary control plane function processing the user session based on the binding session; and transmit the AAR to a network function to process the user session via an secondary control plane function based on receiving an error message from the particular control plane function.

The invention belongs to the technical field of smart home and automation, and provides cleaning equipment and a repositioning method, device and equipment thereof, a medium and a product, and the cleaning equipment comprises a sensing unit which is configured to collect environment data of an area where the cleaning equipment is located in the process that the cleaning equipment executes a task; the positioning mapping unit is connected with the sensing unit and is configured to match the environment data with a current map, obtain a matching degree corresponding to the environment data and output a positioning abnormity message under the condition that the matching degree is lower than a preset threshold value; and the navigation unit is connected with the positioning mapping unit and is configured to execute a repositioning operation based on the current map under the condition that the positioning abnormity message is received. Therefore, the positioning stability and accuracy are improved.

A computer-implemented method for improving test data troubleshooting in an enterprise resource planning (ERP) system is disclosed. The method can receive an error message generated by an application programming interface of the ERP system when processing a set of test data, embed the error message into a message vector, search a vector database comprising a plurality of object vectors to identify a target object vector matching the message vector, retrieve a target object document associated with the target object vector, and generate an answer including instructions to modify the set of test data based on the error message and the target object document. Related systems and software for implementing the method are also disclosed.

Computer-implemented systems and methods including language models for explaining and resolving code errors. A computer-implemented method may include: receiving or accessing a log comprising an error message, the error message indicating an error in code; determining the error message from the log; determining a context associated with the error; generating a prompt for a large language model (“LLM”), the prompt comprising at least: the error message, and the context associated with the error; transmitting the prompt to the LLM; and receiving an output from the LLM in response to the prompt, the output comprising at least: an explanation of the error message, and a suggested fix for the error.

A computer system for performing over-time event monitoring is provided. The computer system includes at least one processor in communication with at least one memory device. The at least one processor is programmed to scan a plurality of data messages and detect a first data message in the plurality of data messages. The first data message is associated with a first event that includes the first data message and a second data message. The at least one processor is also programmed to scan the plurality of data messages for the second data message associated with the first event. If the second data message is not detected based on the scan, the at least one processor is also programmed to determine whether the first event has expired. If the first event has expired, the at least one processor is programmed to transmit an error message to a user computer device.

A method for error management is provided. The method comprises receiving a message call request regarding an error event generated by a software application. The message call request comprises a message ID associated with an error type. In response to the call request a message cache is searched for the message ID. If the ID is in the cache, an error message associated with the ID is returned. The error message provides a description of the error and suggested remedial action. If the message ID is not in the cache, the error message is fetched from a message repository that contains error messages corresponding to respective message IDs. The fetched error message is loaded into the cache and returned. Message call request data is stored in a metrics repository. The message call request data comprises frequency metrics that describe how often the message ID is received.

The invention discloses an information processing method, a chip system and electronic equipment, the chip system comprises a plurality of core particles, in each processing period, one core particle in the chip system is configured as a main core particle, the other core particles are configured as slave core particles, and the information processing method comprises the following steps: when the slave core particles obtain error information, the error information is sent to the chip system; determining, by the slave core particle, an information level of the error information; and under the condition that the information level meets the error reporting condition, the error information is sent to the main core particle by the slave core particle, so that the error information is processed by the main core particle.

The invention relates to a front-end monitoring method and device, computer equipment, a computer readable storage medium and a computer program product. According to the method, a front-end page is monitored, an identifier corresponding to front-end error information is generated under the condition that the front-end error information is monitored, screen recording data is generated under the condition that a screen recording function is started, and the front-end error information, the identifier and the screen recording data are stored in report information. After the reported information is uploaded to the server side, a worker can quickly position the screen recording data corresponding to the front-end error information through the identifier so as to check the process of the front-end error, and can also analyze the cause of the front-end error through the front-end error information; under the condition that the screen recording function is not started, after the identifier is stored in the report information and uploaded to the server side, a worker can still rapidly locate the data position where the front-end error occurs through the identifier, and therefore the front-end error is analyzed.

Disclosed is a method and a system that presents a framework for efficient agent communication, focusing on dialogues represented as directed graphs (DGs) to govern message flows. Each dialogue, embodying potential messages and replies, is managed at a session level, allowing multiple concurrent sessions between agent pairs. Invalid message transitions within sessions are gracefully handled with error messages. Initially offering fixed communication patterns, developers fill these patterns with concrete model definitions, customizing communication flows. Explicit decorators link message transitions to models, providing clear guidance. Sessions are asynchronous, supporting resumption post-interruption and enforced timeouts for completion. A dedicated storage system retains session information for context resumption and developer-specific data. The method ensures concurrency, maintaining valid global states amidst limited resource management by the autonomous agents. Interoperability hinges on concrete pattern instantiation, facilitating distinct domain-specific communication. The framework fosters structured, resilient, and customizable agent interactions, advancing efficient AI-driven communication paradigms.

The invention discloses an automatic testing method and device for an intelligent question-answering system, equipment and a storage medium, and relates to the field of artificial intelligence. Corpus information of a knowledge base platform is adjusted and published; if the corpus publishing result indicates that publishing is successful, the adjusted corpus information is synchronized to a human-computer interaction platform; when the corpus synchronization result indicates that the synchronization succeeds, executing an index construction operation, and executing a corpus recall operation by using the successfully constructed target index under the condition that the execution succeeds; and if the corpus recall result accords with the expected recall result, generating and outputting a test result used for indicating that the full-link process verification of the intelligent question-answering system is successful. Through links of corpus construction, corpus synchronization, index construction, corpus recall and the like in series connection, the method can be applied to the business fields of financial science and technology, medical health, old-age care and the like, automatic verification is realized in an online customer service intelligent question-answering system of related businesses, automatic interruption is realized when nodes are abnormal, error information is thrown out, the manpower analysis cost is reduced, and the test efficiency is improved.

The invention relates to a dynamic interface data verification method and system based on a verification intermediate layer. The method specifically comprises the following steps: receiving an interface calling request of a service system and sending the interface calling request to the verification intermediate layer; the verification intermediate layer automatically identifies verification strategy configuration corresponding to the interface based on the interface identifier; obtaining a corresponding verification component from a verification component library according to the verification strategy configuration; verifying the interface data through a verification assembly; the verification intermediate layer judges according to the verification result, if the verification is passed, the interface calling request is sent to the business logic layer, and if the verification is not passed, error information is returned, so that the verification intermediate layer is designed to serve as a bridge of business logic and data verification, decoupling of interface verification and business logic is realized, and the verification efficiency is improved. The verification logic can be compiled according to service requirements, core service codes do not need to be modified, characteristics of different interfaces and system resource conditions can be flexibly adapted, the development efficiency is improved, the system flexibility is enhanced, and the maintenance cost is remarkably reduced.

Computer-implemented systems and methods including language models for explaining and resolving code errors. A computer-implemented method may include: receiving or accessing a log comprising an error message, the error message indicating an error in code; determining the error message from the log; determining a context associated with the error; generating a prompt for a large language model (“LLM”), the prompt comprising at least: the error message, and the context associated with the error; transmitting the prompt to the LLM; and receiving an output from the LLM in response to the prompt, the output comprising at least: an explanation of the error message, and a suggested fix for the error.

A system comprises one or more processors and one or more storage devices, wherein the system is configured to receive a communication request from a medical device; transmit a message of a message type to the medical device according to a first message scheme for the message type using a first device driver; receive an error message from the medical device in response to the message; select a second message scheme for the message type from a plurality of message schemes stored by the one or more storage devices; and generate a second device driver based on the first device driver and the second message scheme.