105 results about "Manifest file" patented technology

Systems and methods are described for building artificial intelligence (“AI”) agents. A server can provide a user interface (UI) that includes options to select and connect various agent objects. The agent objects can include prompt objects, dataset objects, model objects, and one or more code objects. A subset of the agent objects can be identified as available for selection based on evaluation of at least one management policy associated with an administrative user. A manifest file is generated based on the connected agent objects, and the manifest is validated against dependency rules to ensure that the stages of the agent meet prerequisites for the stages. Then, the server performs a simulated execution of an agent that corresponds to the validated manifest file, including an identification of at least one execution metric associated with the simulated execution.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

Systems and methods are described for building artificial intelligence (“AI”) agents. A server can provide a user interface (UI) that includes options to select and connect various agent objects. The agent objects can include prompt objects, dataset objects, model objects, and one or more code objects. A subset of the agent objects can be identified as available for selection based on evaluation of at least one management policy associated with an administrative user. A manifest file is generated based on the connected agent objects, and the manifest is validated against dependency rules to ensure that the stages of the agent meet prerequisites for the stages. Then, the server performs a simulated execution of an agent that corresponds to the validated manifest file, including an identification of at least one execution metric associated with the simulated execution.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

Disclosed is a business process infrastructure container system. The system includes one or more business process infrastructure modules configured to perform a user-desired operation on a client platform. The system also includes a manifest file having details of one or more business process infrastructure modules. The system further includes computer-readable instructions configured to trigger the user-desired operation via one or more business process infrastructure modules and the manifest file.

The invention relates to the technical field of data processing, and discloses a multi-source data difference attribution system and method based on tensor decomposition, and the method comprises the steps: obtaining an original engineering quantity list file, and then carrying out decoupling to generate a standardized list item text sequence and an initial value set, constructing unit prices to form a tetrahedral geometric model set, mapping the tetrahedral geometric model set to a holographic feature vector space, and generating a multi-dimensional list feature vector set; constructing a standard cost reference vector field, identifying a difference vector set and generating a visual cost difference topological data model; a natural language query instruction is responded, a target difference attribution tensor is locked, a logic verification chain is constructed, and an intelligent diagnosis report is output; according to the method, a computable logic distance is established in multi-source heterogeneous data by reversely reconstructing a high-dimensional price-rate feature space, so that the problem of attribution blocking caused by dimension collapse in traditional cost auditing is effectively solved, and accurate traceability and compliance automatic diagnosis of cost differences are realized.

Techniques are disclosed relating to the protection of secrets within a software development lifecycle. Developers can use an encryption service to encrypt a secret to be used by an application within a package. The secret can be associated with the application, and then encrypted and included in a package that is signed and passed through a software automation pipeline to a data center that hosts the production server for the application. The application executing on the production server can request that the secret be decrypted by a decryption service after package verification. A developer can also specify, in a manifest file, a set of secrets needed for applications executing in the same data center. The manifest file may be passed from the software development environment to the data center, where the specified secrets are created and used by the applications without ever residing or being accessible outside the data center.

To prevent an on-board train content player from malfunctioning, a streaming agent 162 cooperates with a cache unit 161 to provide stored media segments, a manifest unit 169 to provide track description files 125 and driver manifest files 126, a monitoring unit 163 to determine the quality of a connection with an external source CDN, a description unit 165 to obtain a textual description of requested media segments, and a substitution unit 164 to obtain substitute segments, for example, by generative AI generation from the textual description and optionally other segments of the same media content. The streaming agent 162 substitutes a media segment requested by the player with a substitute segment when the connection quality with the external source CDN is insufficient to provide the original media segments. [Fig. 1]

A resource scheduling method and apparatus based on a storage system, a medium, and an electronic device are provided, so that data processing tasks of different object buckets can be scheduled more fairly, and the timeliness and efficiency of task completion are improved. The method includes: acquiring a manifest file respectively corresponding to each object bucket in a storage system; performing loop traversal allocation for each object bucket based on a preset object allocation rule to obtain a target object allocation quota for each object bucket; generating a data processing task corresponding to each object bucket based on the target object allocation quota for each object bucket and the manifest file corresponding to each object bucket, where the data processing task is a task executed according to a manifest file granularity, and a number of expired objects in a manifest file executed by a total data processing task of an object bucket is not greater than a target object allocation quota for the object bucket; and controlling the data processing task of each object bucket to be executed in parallel.

The disclosed system (110) and method (500) enables muxing and storing a manifest file in a storage server (122). The method (500) includes receiving (502) one or more input streams from at least one streaming service. The input streams are received by an authorization unit communicatively coupled to a streaming server. The received one or more input streams are encoded (504) by an encoder using one or more predefined codec configurations to generate corresponding one or more encoded streams. The generated one or more encoded streams are multiplexed (506) by a muxer into at least one muxing. The muxing includes livestream data and embedded metadata. Further, at least one of the muxing and one or more input / output (I / O) services are linked (508) into a manifest file that is stored in a storage server.

A method, apparatus, and computer program product for trickplay in HTTP live streaming (HLS), includes: establishing a connection to a content source; receiving a piece of content from a content source as a multimedia stream, wherein the multimedia stream comprises a digital living network alliance stream; converting the multimedia stream into a client stream that comprises a HLS stream, the HLS stream including a manifest file containing a plurality of transport stream packets; storing a pre-determined number of the plurality of transport stream packets in a temporary storage; outputting the client stream to a media player; receiving a first trickplay request from the media player, the first trickplay request being a pause request; in response to the first trickplay request: pausing the client stream; transmitting a signal keeping the connection to the content source alive and the multimedia stream active; and storing the multimedia stream in the temporary storage.

The invention provides a streaming media resource processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of multimedia stream processing and browser end file management. According to the specific implementation scheme, the method comprises the following steps: analyzing a list file of streaming media resources to obtain fragment information of the streaming media resources; according to the fragment information, downloading an initialized fragment of the streaming media resource, a head fragment controlled by a playing target and a real-time bandwidth and a residual media fragment in stages, and storing the downloaded fragments to a preset buffer area; and in the downloading process, playing the downloaded fragments in the buffer area, and writing the downloaded fragments in the buffer area into a local disk.

The application relates to the technical field of software development and compilation, and discloses an APP module firmware compilation updating method, a computer device and a storage medium. When it is monitored that a source code library is changed, a manifest file and a JSON file are combined to compare the stored information of the last time and the present time, so that the code of a module which needs to be recompiled can be compiled every time, unnecessary repeated compilation work can be effectively reduced, the compilation time is shortened, the size of an OTA differential package is accurately controlled, and a more efficient, rapid and user-friendly software updating experience is realized.

A computer-implemented system for providing context to artificial intelligence agents (AI agents), wherein the system comprises: (a) one or more processors and a memory for storing instructions; (b) a repository manager trained to access one or more version-controlled context repositories containing human-readable context elements arranged in a hierarchical directory structure; (c) a manifest navigator trained to read one or more manifest files stored in the context repositories, wherein the manifest files describe the contents of directories and contain navigation references to subdirectories or context elements;(d) a context assembly engine trained to hierarchically traverse the manifest files in response to a task request, to select and load a limited set of context elements under a context budget, and to form a context bundle; and (e) an interface to a generative AI model trained to pass the context bundle as conditioning input to a machine learning model to produce an output for the task request; the system further comprising a version history module trained to record updates to the context repositories as so-called commits, including commit metadata that enables provenance or trajectory analysis.

The invention belongs to the technical field of enterprise information security, and discloses a technical method for a company device to automatically back up and clear sensitive information files according to a list, which comprises the following specific steps of: 1, dynamically monitoring the list, deploying a lightweight monitoring execution engine by a terminal, and monitoring an interface through a system-level file; the change of a list file of a specified directory of the desktop is detected in real time, the monitoring parameter is set as polling once per second, and the analysis engine is triggered after the size of the file is detected to be unchanged for 2 seconds; an automatic closed loop of millisecond-level response is constructed through an Excel list driving engine, desktop list changes are captured in real time through an operating system-level monitoring interface, thousand-row-level Excel analysis (precisely extracting A-column paths / B-column instructions) is completed within 60 seconds, follow-up operation is automatically triggered, and therefore the file processing time of a single device is shortened to be within 5 minutes, and the file processing efficiency is improved. The misoperation rate is reduced to 0.1% or below, and response lag and errors caused by human factors are thoroughly eliminated.

The invention discloses a method for managing MCP related dependency. The dependency method comprises the following steps: establishing an MCP dependency list file; mCP dependency analysis and installation are carried out; and performing MCP operation and server life cycle management. And the basic service is directly reused to construct the own application without repeatedly constructing wheels, so that the development efficiency and robustness of the whole ecology are improved.

Methods, systems, and apparatuses for updating content data are described herein. A single manifest file may be maintained per content item and provided to client devices with an update file. The manifest file each client device receives may not initially facilitate output of content segments. Instead, the manifest file may be a partial manifest file that initializes playback and / or facilitates output of a most-recent content segment(s). The client devices may each determine a playback timeline. And each client device may use the corresponding update file to modify the manifest file based on the determined playback timeline, resulting in a modified manifest file that facilitates output of one or more content segments associated with the playback timeline for that particular client device.

The disclosed system (110) and method (500) enables muxing and storing a manifest file in a storage server (122). The method (500) includes receiving (502) one or more input streams from at least one streaming service. The input streams are received by an authorization unit communicatively coupled to a streaming server. The received one or more input streams are encoded (504) by an encoder using one or more predefined codec configurations to generate corresponding one or more encoded streams. The generated one or more encoded streams are multiplexed (506) by a muxer into at least one muxing. The muxing includes livestream data and embedded metadata. Further, at least one of the muxing and one or more input / output (I / O) services are linked (508) into a manifest file that is stored in a storage server.

The application provides a program compiling method and device, equipment and storage medium, and relates to the field of computers. The method comprises the following steps: compiling a host, generating a host program package, and including a manifest file of the host in the host program package; obtaining a manifest file and plug-in information of a target plug-in, the target plug-in being a plug-in obtained after compiling a program package; verifying the host and the target plug-in according to preset conditions according to the plug-in information, and determining whether the host and the target plug-in conflict; if the host and the target plug-in do not conflict, merging the manifest files of the host and the target plug-in, generating a total manifest file, and replacing the manifest file in the host program package with the total manifest file; and integrating the plug-in information into the host program package. The method can realize independent development and compilation of the plug-in and the host, decouples the plug-in and the host, and the plug-in can be applied to any host.

The invention provides a firmware upgrading method and device. The method comprises the steps that an upgrade package is obtained, and the upgrade package comprises an upgrade file of firmware to be upgraded and further comprises a version list file used for recording the dependency relationship between the firmware to be upgraded; constructing an upgrading task queue according to a dependency relationship recorded by the version list file, wherein the upgrading task queue comprises file information of upgrading files of all the to-be-upgraded firmware which are sequentially arranged according to priorities; for each priority in the upgrade task queue, distributing a working unit for the upgrade file of the current priority, and calling a decompression module and a burning module in parallel by the working unit to decompress and burn the upgrade file; and after all the priorities of the upgrade task queue are processed, restarting the to-be-upgraded equipment to enable the new firmware to take effect. According to the method, a dynamic double-buffer mechanism is introduced, so that the decompression module and the burning module work in parallel through the annular buffer area, the memory occupation is reduced, and the upgrading efficiency is remarkably improved.

There may be provided a method of streaming multimedia content encoded using an enhancement coding scheme and a method of packaging multimedia content encoded using an enhancement coding scheme for streaming, comprising retrieving an constructing a manifest file, the manifest file comprising metadata for constructing a locator to segments of the encoded multimedia content, the metadata comprising: a first representation pointing to a first version of the multimedia content encoded using a base coding scheme; and, location metadata for a first enhancement layer of the encoded multimedia content associated with the first version. A client device, packager, system and computer readable medium are also provided.

The invention provides an atomization multi-resource data transmission optimization method. Metadata and a dependency relationship of the atomized resources are obtained by scanning project source codes, a resource dependency graph is constructed, and logic association and a hierarchical structure among the resources are accurately described; intelligent clustering and grouping are carried out based on the atlas in combination with resource use frequencies, and high-frequency co-occurrence and functional coupling resources are divided into the same resource group, so that the subjectivity and redundancy problems are avoided; the resource group is packaged into the set package file, and the list file is generated, so that aggregation packaging of the atomized resources is realized, and the integrity of resource delivery is ensured; in the application stage, client requests are intercepted, and corresponding set packages are loaded based on list file matching, so that the actual network request times are reduced, and the head overhead and the head-of-queue blocking risk are reduced. Therefore, not only is the performance bottleneck caused by a large number of small file requests solved, but also the on-demand loading and caching efficiency of the resources is guaranteed through a dynamic grouping mechanism, and the flexibility and execution efficiency of front-end resource transmission are fundamentally improved.

The invention relates to the technical field of data processing, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a data migration method, which comprises the following steps of: dividing a to-be-migrated data set in a source database into a preset number of data batches, and writing a batch label of each data batch into a preset task list file; and creating a corresponding record entry for each batch label in a preset progress record file, generating a loading task for each data batch according to the division sequence, sending the loading task to the target database, monitoring the loading state, and marking the state and timestamp of each stage in the progress record file. According to the method, the breakpoint is accurately identified by utilizing the task list file and the progress record file, the recovery mode is automatically entered, and automatic and intelligent data migration is realized.

The invention discloses a satellite-borne edge computing service scheduling method adaptive to Kubernetes, and belongs to the technical field of satellite-borne edge computing. The method comprises the steps that each satellite node is labeled with a unique label; obtaining service demand information, to-be-finished service time and an original manifest file; generating a service scheduling result according to the service demand information and the ephemeris information; and according to the service scheduling result, the to-be-ended service time and the original manifest file, completing the deployment and clearing process of the Pod by using an API and a command of the K8S. According to the method, the function of Kubernetes can be enhanced, and service software scheduling based on the position of the user terminal is realized.

A device may receive a manifest that identifies a plurality of content fragments associated with a content asset. The device may receive or access instructions for inserting secondary content into a location of the content asset that does not align with the boundaries between the content fragments. Based on the received instructions, the playback device may generate updated manifest information that identifies a first modified content fragment and a second modified content fragment. The location for inserting the secondary content in the updated manifest information may align with a new boundary of the first modified content fragment or the second modified content fragment. The device may share the updated manifest information, and may receive a modified manifest file, or content asset, comprising the modified content fragments.

This invention relates to the field of software development technology, specifically to a software compilation method, system, device, and storage medium based on Jenkins. The method includes: pre-setting a manifest file describing the project structure and building a base build image encapsulating a complete compilation environment; pulling the full code of each project to a physical server; triggering an automated compilation task when a commit event occurs in the code repository; the task updating the manifest file according to the commit information and generating an updated manifest file with a sequence number; performing incremental pulls on the physical server for the changed projects based on the updated manifest file; synchronizing the code to a container environment started by the base build image via a local Git HTTP server; and finally performing automated compilation within the container. This invention can significantly improve the compilation efficiency of large projects, completely eliminate environmental differences, and enhance the stability and reliability of the automated process.

Systems and methods are disclosed to develop and use a tool to enable an application package to be instrumented with automatic real user monitoring (RUM) without accessing the original source code. A package, such as Android application bundle (AAB) or Android package kit (APK), is imported and decoded and a generated source code file and / or manifest is obtained. Instrumentation is then added at a location corresponding to a code signature in the generated source code file (e.g., an operation to be instrumented before and / or after the operation). The generated source code file is then compiled and packaged into an APK and / or AAB file. The resulting application package is available for downloading, installation, and use on user devices with the instrumentation having been automatically added and without access to the original source code.

The invention discloses a cross-platform machine changing method and device supporting credential creativity, equipment and a storage medium, and relates to the technical field of computer system migration, and the method comprises the following steps: obtaining a user selection operation through a GUI or CLI, and packaging user data, system configuration and an application program; transmitting the to-be-migrated data packet to target equipment in an online, offline or cloud transfer mode; and performing integrity verification and decompression on the target equipment, and respectively recovering the user data, the system configuration and the application program to corresponding positions according to the to-be-migrated list file, the desktop environment of the target equipment and a preset cross-release version dependency mapping table. The problem of tool function splitting is eliminated through synchronization of the GUI and the CLI, and the operation threshold of a common user is lowered. The whole process from key derivation, data encryption to integrity verification is safe through the national secret algorithm, leakage and tampering of data in the transmission and storage process are effectively prevented, the requirements of the creative industry are met, and reliable guarantee is provided for sensitive scene data migration.

Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.

Techniques for serving a manifest file of an adaptive streaming video include receiving a request for the manifest file from a user device. The video is encoded at different reference bitrates and each encoded reference bitrate is divided into segments to generate video segment files. The manifest file includes an ordered list of universal resource locators (URLs) that reference a set of video segment files encoded at a particular reference bitrate. A source manifest file that indicates the set of video segment files is identified based on the request. An issued manifest file that includes a first URL and a second URL is generated based on the source manifest file. The first URL references a first domain and the second URL references a second domain that is different from the first domain. The issued manifest file is transmitted to the user device as a response to the request.