extensions library

Classes

AIAnnotation: Base class for annotations on AI content.
AIContent: Base class for all AI content types.
AIFunction: Represents a function that can be described to and invoked by an AI model.
AIFunctionArguments: Represents the arguments passed to an AI function invocation.
AIFunctionDeclaration: Represents a function that can be described to an AI service.
AIFunctionFactory: A factory for creating AIFunction instances from simple callbacks.
AIFunctionFactoryOptions: Options for controlling how AIFunctionFactory creates an AIFunction.
AITool: Base class for tools that can be provided to an AI model.
AndVectorStoreFilter: A filter that requires all filters to match.
AnnotatedRegion: Base class for annotated regions.
AnonymousDelegatingChatClient: A DelegatingChatClient that uses anonymous delegates to implement its functionality.
AnyTagEqualToFilterClause: A filter clause that matches records where a collection field contains a specific string value.
AnyTagEqualToVectorStoreFilter: A filter that matches records where a collection field contains a specific string value.
ApplicationLifetime: Allows consumers to perform cleanup during a graceful shutdown.
ApprovalRequiredAIFunction: An AIFunction that is marked as requiring user approval before invocation.
AsyncDisposable: Provides a mechanism for releasing unmanaged resources asynchronously.
AsyncServiceScope: A ServiceScope implementation that implements AsyncDisposable.
AutoChatToolMode: Indicates that a chat client is free to select any of the available tools, or none at all.
BackgroundService: Base class for implementing a long running HostedService.
BLEUAlgorithm: Static helpers for computing BLEU scores.
BLEUEvaluator: Evaluates response quality using the BLEU (Bilingual Evaluation Understudy) algorithm.
BLEUEvaluatorContext: Contextual information for BLEUEvaluator: one or more reference responses to compare against.
BooleanMetric: An EvaluationMetric with a boolean value (pass/fail or yes/no).
BufferedLogger: Enables logging providers to handle batched log entries.
BufferedLogRecord: Represents a buffered log record to be written in batch to a buffered logger.
BufferedLogRecordImpl: Default implementation of BufferedLogRecord.
CacheEntry: Represents an entry in the MemoryCache.
CachingChatClient: An abstract DelegatingChatClient that caches chat responses.
CallbackNode: All of the state associated a registered callback, in a node that's part of a linked list of registered callbacks.
CancellationCallbackInfo
CancellationChangeToken: A ChangeToken implementation using CancellationToken.
CancellationToken: Propagates notification that operations should be canceled.
CancellationTokenRegistration
CancellationTokenSource: Signals to a CancellationToken that it should be canceled.
ChainedConfigurationProvider: Chained implementation of ConfigurationProvider.
ChainedConfigurationSource: Represents a chained Configuration as a ConfigurationSource.
ChangeToken: Propagates notifications that a change has occurred.
ChatClient: Represents a chat client.
ChatClientBuilder: Builds a pipeline of chat client middleware.
ChatClientMetadata: Provides metadata about a chat client.
ChatConfiguration: Specifies the ChatClient to use when evaluation is performed by an AI model.
ChatDetails: Records details for all LLM chat turns in a ScenarioRun execution.
ChatFinishReason: Represents the reason a chat response finished being generated.
ChatMessage: Represents a chat message used by a chat client.
ChatOptions: Represents the options for a chat request.
ChatReducer: Reduces a list of chat messages (e.g. for context window management).
ChatResponse: Represents the response to a chat request.
ChatResponseFormat: Represents the desired format of a chat response.
ChatResponseFormatJson: Requests structured JSON output without a specific schema.
ChatResponseFormatJsonSchema: Requests structured JSON output conforming to a specific schema.
ChatResponseFormatText: Requests unstructured text output.
ChatResponseUpdate: Represents a single streaming update to a chat response.
ChatRole: Represents the role of a chat message author.
ChatToolMode: Represents the mode in which tools are used by the chat client.
ChatTurnDetails: Details for a single LLM chat conversation turn in a ScenarioRun.
CitationAnnotation: An annotation citing a source.
CodeInterpreterToolCallContent: Represents a code interpreter tool call invoked by a hosted service.
CodeInterpreterToolResultContent: Represents the result of a code interpreter tool invocation by a hosted service.
CodeVulnerabilityEvaluator: Evaluates AI responses for code vulnerabilities (e.g. injection flaws).
CoherenceEvaluator: Evaluates the coherence of an AI response — logical organization, flow, and readability.
CollectionModel: Represents the runtime model for a vector store record type.
CollectionModelBuilder: Builds a CollectionModel from a VectorStoreCollectionDefinition.
CollectionModelBuildingOptions: Options that control how a CollectionModel is built.
CommandLineConfigurationProvider: A command line based ConfigurationProvider.
CommandLineConfigurationSource: Represents command line arguments as an ConfigurationSource.
CompletenessEvaluator: Evaluates how completely an AI response covers the key information in a ground truth reference.
CompletenessEvaluatorContext: Context for CompletenessEvaluator: the ground truth response against which completeness is measured.
CompositeChangeToken: An ChangeToken which represents one or more ChangeToken instances.
CompositeEvaluator: An Evaluator that composes multiple Evaluators and runs them concurrently.
CompositeFileProvider: Aggregates multiple file providers into a single provider.
ConfigurationBuilder: Used to build key/value based configuration settings for use in an application.
ConfigurationBuilderProperties
ConfigurationChangeTokenSource<TOptions>: Creates ChangeTokens so that OptionsMonitor gets notified when Configuration changes.
ConfigurationManager: ConfigurationManager is a mutable configuration object. It is both an ConfigurationBuilder and an ConfigurationRoot. As sources are added, it updates its current view of configuration.
ConfigurationPath: Utility methods and constants for manipulating Configuration paths
ConfigurationProvider: Provides configuration key/values for an application.
ConfigurationReloadToken: Implements ChangeToken.
ConfigurationRoot: Represents the root of an Configuration hierarchy.
ConfigurationSection: Represents a section of application configuration values.
ConfigurationSource: Represents a source of configuration key/values for an application.
ConfigurationSources
ConfigureNamedOptions<TOptions>: Represents something that configures the TOptions type.
ConfigureOptions<TOptions>: Represents something that configures the TOptions type. Note: These are run before all PostConfigureOptions.
ConfigureOptionsChatClient: A delegating chat client that applies configuration to ChatOptions before each request.
ConfigureOptionsEmbeddingGenerator: A delegating embedding generator that applies configuration to EmbeddingGenerationOptions before each request.
ConfigureOptionsImageGenerator: A delegating image generator that applies configuration to ImageGenerationOptions before each request.
ConfigureOptionsSpeechToTextClient: A delegating speech-to-text client that applies configuration to SpeechToTextOptions before each request.
ConfigureOptionsTextToSpeechClient: A DelegatingTextToSpeechClient that applies a configuration callback to TextToSpeechOptions before each request.
ConsoleFormatter: Allows custom log message formatting for console output.
ConsoleFormatterNames: Reserved formatter names for built-in console formatters.
ConsoleFormatterOptions: Base options class for console log formatters.
ConsoleLogger: A logger that writes messages to the console output.
ConsoleLoggerProvider: The provider for the ConsoleLogger.
ContentHarmEvaluator: Evaluates AI responses for all supported content harm categories: hate/unfairness, violence, self-harm, and sexual content.
ContentSafetyEvaluator: Base class for evaluators that call the Azure AI Foundry Evaluation service to detect unsafe content.
ContentSafetyServiceConfiguration: Configuration for connecting to the Azure AI Foundry Evaluation service.
CrossFileTestOverrides: Overrides some functions of CrossFile for testing purposes
DataContent: Represents binary data content, such as an image or audio.
DataPropertyModel: Represents a data property on a vector store record.
DebugLogger: A logger that writes messages in the debug output window only when a debugger is attached.
DebugLoggerProvider: The provider for the DebugLogger.
DefaultHostApplicationBuilder: Represents a hosted applications and services builder that helps manage configuration, logging, lifetime, and more.
DefaultHostBuilder
DefaultLoggerLevelConfigureOptions
DefaultServiceFactoryAdapter<TContainerBuilder>
DefaultServiceProviderFactory: Default implementation of ServiceProviderFactory<TContainerBuilder>.
DelegatingAIFunction: An AIFunction that delegates all calls to an inner function.
DelegatingAIFunctionDeclaration: An AIFunctionDeclaration that delegates its properties to an inner declaration.
DelegatingChatClient: Provides an optional base class for an ChatClient that passes through calls to another instance.
DelegatingEmbeddingGenerator: An EmbeddingGenerator that delegates all calls to an inner generator.
DelegatingHandler: Base class for composing HTTP handlers into a pipeline.
DelegatingHostedFileClient: A HostedFileClient that delegates all calls to an inner client.
DelegatingImageGenerator: An ImageGenerator that delegates all calls to an inner generator.
DelegatingSpeechToTextClient: A SpeechToTextClient that delegates all calls to an inner client.
DelegatingTextToSpeechClient: A TextToSpeechClient that delegates all calls to an inner client.
Directory: A reference to a directory on the file system.
DirectoryContents: Represents a directory's content in the file provider.
DirectoryInfoBase: Enumerates all files and directories in the directory.
DirectoryInfoWrapper
DiskBasedReportingConfiguration: Factory for a fully disk-backed ReportingConfiguration.
DiskBasedResponseCache: A ResponseCache that persists ChatResponses as JSON files on disk.
DiskBasedResponseCacheProvider: An EvaluationResponseCacheProvider that stores response caches on disk.
DiskBasedResultStore: Stores ScenarioRunResults as JSON files under storageRootPath.
Disposable: Provides a mechanism for releasing unmanaged resources.
DistanceFunction: Defines the distance functions that can be used to measure similarity between vectors in a vector store.
DistributedCache: Represents a distributed cache of serialized values.
DistributedCacheEntryOptions: Provides options for configuring distributed cache entries.
Embedding: Represents a generated embedding vector.
EmbeddingGenerationDispatcher: Encapsulates runtime embedding generation dispatch for a specific Embedding subtype.
EmbeddingGenerationOptions: Options for embedding generation requests.
EmbeddingGenerator: Represents an embedding generator.
EmbeddingGeneratorBuilder: Builds a pipeline of embedding generator middleware.
EmbeddingGeneratorMetadata: Provides metadata about an embedding generator.
Environments: Commonly used environment names.
EnvironmentVariablesConfigurationProvider
EnvironmentVariablesConfigurationSource: Represents environment variables as an ConfigurationSource.
EqualToFilterClause: A filter clause that matches records where a field equals a specific value.
EqualToVectorStoreFilter: A filter that matches records where a field equals a specific value.
EquivalenceEvaluator: Evaluates whether an AI response is semantically equivalent to a ground truth reference.
EquivalenceEvaluatorContext: Context for EquivalenceEvaluator: the expected ground-truth response.
ErrorCodes: Operating system error codes.
ErrorContent: Represents error content in a chat response.
EvaluationContext: Base class for contextual information beyond the conversation history that an Evaluator may need to accurately evaluate a response.
EvaluationDiagnostic: A diagnostic message associated with an EvaluationMetric.
EvaluationMetric: Base class for all evaluation metric results.
EvaluationMetricInterpretation: Specifies how an EvaluationMetric's result should be interpreted.
EvaluationResponseCacheProvider: Provides ResponseCache instances scoped to a particular scenario run.
EvaluationResult: A collection of EvaluationMetrics representing the result of an evaluation run.
EvaluationResultStore: Stores and retrieves ScenarioRunResults from a backing store.
Evaluator: Evaluates AI model responses and returns EvaluationResults.
EventId: Identifies a logging event.
F1Algorithm: Computes word-overlap F1 scores.
F1Evaluator: Evaluates response quality using F1 scoring (shared word ratio).
F1EvaluatorContext: Contextual information for F1Evaluator: a single ground-truth reference response.
File: A reference to a file on the file system.
FileInfo
FileInfoBase: Represents a file
FileInfoWrapper
FileLock: Type of lock when requesting a lock on a file.
FileMode: The modes in which a File can be opened.
FilePatternMatch: Represents a file that was matched by searching using a globbing pattern
FileProvider: A read-only file provider abstraction.
FileStat: The result of calling the POSIX stat() function on a file system object.
FileSystem: A generic representation of a file system.
FileSystemEntity: The common super class for io.File, io.Directory, and io.Link objects.
FileSystemEntityType: The type of an entity on the file system, such as a file, directory, or link.
FileSystemEvent: Base event class emitted by FileSystemEntity.watch.
FileSystemInfoBase: Shared abstraction for files and directories
FilterClause: Base class for filter clauses used when querying a vector store.
FilteredRecordRetrievalOptions<TRecord>: Options for retrieving records from a vector store collection with optional filtering and ordering.
FluencyEvaluator: Evaluates the fluency of an AI response — grammar, vocabulary, and clarity of written communication.
FormattedConsoleLogger: A logger that writes formatted messages to the console output.
FormattedConsoleLoggerProvider: Provider for FormattedConsoleLogger instances.
ForwardingFileSystem: A file system that forwards all methods and properties to a delegate.
ForwardingFileSystemEntity<T extends FileSystemEntity, D extends FileSystemEntity>: A file system entity that forwards all methods and properties to a delegate.
FunctionCallContent: Represents a request from the model to invoke a function.
FunctionInvocationContext: Provides context for a function invocation within a chat client pipeline.
FunctionInvocationResult: The result of a function invocation.
FunctionInvokingChatClient: A delegating chat client that automatically invokes functions requested by the model.
FunctionResultContent: Represents the result of a function call.
GeneratedEmbeddings: Represents a collection of generated embeddings.
GLEUAlgorithm: Computes Google-BLEU (GLEU) scores.
GLEUEvaluator: Evaluates response quality using Google-BLEU (GLEU) n-gram overlap.
GLEUEvaluatorContext: Contextual information for GLEUEvaluator: one or more reference responses to compare against.
Glob: A glob for matching and listing files and directories.
GroundednessEvaluator: Evaluates how well an AI response is grounded in provided context, without introducing unsupported information.
GroundednessEvaluatorContext: Context for GroundednessEvaluator: the grounding information against which fidelity is measured.
GroundednessProEvaluator: Enterprise-grade groundedness evaluator using the Azure AI Foundry service.
GroundednessProEvaluatorContext: Context for GroundednessProEvaluator: the grounding information against which response fidelity is assessed.
HateAndUnfairnessEvaluator: Evaluates AI responses for hate speech and unfairness.
Host: A program abstraction.
HostApplicationBuilder: Represents a hosted applications and services builder which helps manage configuration, logging, lifetime, and more.
HostApplicationBuilderSettings: Settings for constructing an HostApplicationBuilder.
HostApplicationLifetime: Allows consumers to be notified of application lifetime events. This interface is not intended to be user-replaceable.
HostBuilder: A program initialization abstraction.
HostBuilderAdapter
HostBuilderContext: Context containing the common services on the Host. Some properties may be null until set by the Host.
HostDefaults: Constants for HostBuilder configuration keys.
HostedCodeInterpreterTool: A tool representing a hosted code interpreter capability.
HostedFileClient: A client for uploading, downloading, and managing files hosted by an AI service.
HostedFileClientBuilder: Builds a pipeline of HostedFileClient middleware.
HostedFileClientMetadata: Provides metadata about a HostedFileClient.
HostedFileClientOptions: Options for HostedFileClient requests.
HostedFileContent: Represents a reference to a file hosted by the AI service.
HostedFileSearchTool: A tool representing a hosted file search capability.
HostedImageGenerationTool: A tool representing a hosted image generation capability.
HostedMcpServerTool: A tool representing a hosted MCP server.
HostedMcpServerToolAlwaysRequireApprovalMode: Always require approval for MCP server tool calls.
HostedMcpServerToolApprovalMode: Approval mode for hosted MCP server tools.
HostedMcpServerToolNeverRequireApprovalMode: Never require approval for MCP server tool calls.
HostedMcpServerToolRequireSpecificApprovalMode: Require approval for specific MCP server tool calls.
HostedService: Defines methods for objects that are managed by the host.
HostedToolSearchTool: A marker tool that enables on-demand tool discovery from a hosted service.
HostedVectorStoreContent: Represents a reference to a vector store hosted by the AI service.
HostedWebSearchTool: A tool representing a hosted web search capability.
HostEnvironment: Provides information about the hosting environment an application is running in.
HostingEnvironment
HostLifetime: Tracks host lifetime.
HttpClientAsyncLogger: An abstraction for asyncronous custom HTTP request logging for a named HttpClient instances returned by HttpClientFactory.
HttpClientBuilder: Fluent builder used to configure named HTTP clients.
HttpClientFactory: A factory abstraction for a component that can create http.BaseClient instances with custom configuration for a given logical name.
HttpClientFactoryOptions: Options used by the default HTTP client factory.
HttpClientLogger: An abstraction for custom HTTP request logging for a named HttpClient instances returned by HttpClientFactory.
HttpClientLoggerHandler
HttpMessageHandler
HttpMessageHandlerBuilder
HttpMessageHandlerBuilderFilter: Used by the DefaultHttpClientFactory to apply additional configuration to the HttpMessageHandlerBuilder immediately before calling build.
HttpMessageHandlerFactory
HybridSearchOptions<TRecord>: Options for a hybrid vector-and-keyword search.
IConfiguration: Represents a set of key/value application configuration properties.
IConfigurationSection: Represents a section of application configuration values.
IKeywordHybridSearchable<TRecord>: Provides hybrid vector-and-keyword search over a collection of records.
ImageGeneratingChatClient: A DelegatingChatClient that handles image generation tool calls by delegating to an ImageGenerator.
ImageGenerationOptions: Options for image generation requests.
ImageGenerationRequest: Represents an image generation request.
ImageGenerationResponse: Represents an image generation response.
ImageGenerationToolCallContent: Represents an image generation tool call invoked by a hosted service.
ImageGenerationToolResultContent: Represents the result of an image generation tool invocation by a hosted service.
ImageGenerator: Represents an image generator.
ImageGeneratorBuilder: Builds a pipeline of image generator middleware.
ImageGeneratorMetadata: Provides metadata about an image generator.
IndexKind: Defines the types of index that can be used to index vector data.
IndirectAttackEvaluator: Evaluates AI responses for indirect prompt injection attacks.
IniConfigurationParser: Parses INI configuration data into key-value pairs.
IniConfigurationProvider: An INI based ConfigurationProvider.
IniConfigurationSource: Represents an INI configuration string as a ConfigurationSource.
IniStreamConfigurationProvider: INI configuration provider that reads from a stream.
IniStreamConfigurationSource: Represents an INI stream as a ConfigurationSource.
InMemoryDirectoryInfo: Represents an in-memory directory for pattern matching without accessing the file system.
InMemoryFileInfo: Represents an in-memory file for pattern matching.
InputRequestContent: Represents a request for input from the user or application.
InputResponseContent: Represents the response to an InputRequestContent.
InstrumentRule: Contains a set of parameters used to determine which instruments are enabled for which listeners. Unspecified parameters match anything.
IntentResolutionEvaluator: Evaluates how effectively an AI system identifies and resolves user intent.
IntentResolutionEvaluatorContext: Context for IntentResolutionEvaluator: the tool definitions used when generating the response.
IOSink: A combined byte and text output.
IVectorSearchable<TRecord>: Provides vector similarity search over a collection of records.
JsonConfigurationParser
JsonConfigurationProvider: A JSON based ConfigurationProvider.
JsonConfigurationSource
JsonConsoleFormatter: A console formatter that formats log messages as JSON.
JsonConsoleFormatterOptions: Options for the built-in JSON console log formatter.
KeyPropertyModel: Represents a key property on a vector store record.
LifetimeTrackingHttpMessageHandler: A delegating handler that tracks the lifetime of HTTP message handlers and prevents premature disposal.
Link: A reference to a symbolic link on the file system.
LinkedNCancellationTokenSource
ListenerSubscription
LogDefineOptions: Options for configuring logger message delegates.
LogEntry<TState>: Holds information about a log entry.
Logger: Represents a type used to perform logging.
LoggerFactory: Represents a type used to configure the logging system and create instances of Logger from the registered LoggerProviders.
LoggerFactoryOptions: The options for a LoggerFactory.
LoggerFilterOptions: The options for a LoggerFilter.
LoggerFilterRule: Defines a rule used to filter log messages.
LoggerMessage: Creates delegates for logging that can be cached and reused for improved performance.
LoggerProvider: Represents a type that can create instances of Logger.
LoggerProviderConfiguration<T>: Provides configuration for a specific logger provider type.
LoggerProviderConfigurationFactory: Factory to provide configuration for logger providers.
LoggerProviderConfigurationFactoryImpl: Factory implementation for providing configuration to logger providers.
LoggerProviderConfigurationImpl<T>: Implementation of ILoggerProviderConfiguration that retrieves configuration for a specific logger provider type.
LoggingBuilder: An interface for configuring logging providers.
LoggingChatClient: A delegating chat client that logs chat operations to an Logger.
LoggingConfiguration: Loads logging configuration from Configuration.
LoggingEmbeddingGenerator: A delegating embedding generator that logs operations to a Logger.
LoggingHostedFileClient: A DelegatingHostedFileClient that logs file operations.
LoggingHttpMessageHandler: Handles logging of the lifecycle for an HTTP request.
LoggingHttpMessageHandlerBuilderFilter: A filter that adds a LoggingHttpMessageHandler to the HTTP client pipeline for all named clients.
LoggingImageGenerator: A delegating image generator that logs operations to a Logger.
LoggingScopeHttpMessageHandler: A delegating handler that establishes a logging scope for each HTTP request.
LoggingSpeechToTextClient: A delegating speech-to-text client that logs operations to a Logger.
LoggingTextToSpeechClient: A DelegatingTextToSpeechClient that logs requests and responses.
Matcher: Searches the file system for files with names that match specified patterns.
McpServerToolCallContent: Represents a tool call request to an MCP server by a hosted service.
MCPServerToolResultContent: Represents the result of an MCP server tool call by a hosted service.
MeasurementHandlers: A set of supported measurement types. If a listener does not support a given type, the measurement will be skipped.
MemoryCache: Represents a local in-memory cache whose values are not serialized.
MemoryCacheEntryOptions: Provides options for configuring memory cache entries.
MemoryCacheImpl: Implementation of MemoryCache.
MemoryCacheOptions: Provides configuration options for MemoryCacheImpl.
MemoryCacheStatistics: Holds statistics for the memory cache.
MemoryConfigurationProvider: In-memory implementation of ConfigurationProvider
MemoryConfigurationSource: Represents in-memory data as an ConfigurationSource.
MemoryDistributedCache: An implementation of DistributedCache using an in-memory cache.
MessageCountingChatReducer: A chat reducer that keeps the most recent messages up to a target count.
MetricsBuilder: Represents a type used to configure the metrics system by registering MetricsListeners and using rules to determine which metrics are enabled.
MetricsListener: Represents a type used to listen to metrics emitted from the system.
MetricsSubscriptionManager
NGram<T>: An n-gram: a contiguous sequence of n tokens.
NoneChatToolMode: No tools should be used by the model.
NotFoundDirectoryContents: Represents a non-existing directory
NotFoundFileInfo: Represents a non-existing file.
NullChangeToken: An empty change token that doesn't raise any change callbacks.
NullFileProvider: An empty file provider with no contents.
NullLogger: Minimalistic logger that does nothing.
NullLoggerFactory: An LoggerFactory used to create instance of NullLogger that logs nothing.
NullScope: An empty scope without any logic.
NullTypedLogger<T>: Generic null logger that does nothing.
NumericMetric: An EvaluationMetric with a numeric value.
ObservableInstrumentsSource: An interface registered with each MetricsListener using MetricsListener.initialize(ObservableInstrumentsSource). The listener can call recordObservableInstruments to receive the current set of measurements for enabled observable instruments.
OpenAIChatClient: An ChatClient for the OpenAI chat completions API.
OpenAIClientOptions: Configuration options for an OpenAI-compatible API client.
OpenAIEmbeddingGenerator: An EmbeddingGenerator for the OpenAI embeddings API.
OpenAIImageGenerator: An ImageGenerator for the OpenAI image generation API.
OpenAISpeechToTextClient: An SpeechToTextClient for the OpenAI audio transcription API.
OpenAITextToSpeechClient: An TextToSpeechClient for the OpenAI audio speech API.
OpenTelemetryChatClient: A DelegatingChatClient that records OpenTelemetry spans for each request.
OpenTelemetryConsts: Semantic convention constants for AI telemetry spans and attributes.
OpenTelemetryEmbeddingGenerator: A DelegatingEmbeddingGenerator that records OpenTelemetry spans.
OpenTelemetryImageGenerator: A DelegatingImageGenerator that records OpenTelemetry spans.
OpenTelemetryTextToSpeechClient: A DelegatingTextToSpeechClient that records OpenTelemetry spans.
Options<TOptions>: Used to retrieve configured TOptions instances.
OptionsChangeTokenSource<TOptions>: Used to fetch ChangeToken used for tracking options changes.
OptionsFactory<TOptions>: Used to create TOptions instances.
OptionsMonitor<TOptions>: Used for notifications when TOptions instances change.
OptionsMonitorCache<TOptions>: Used by OptionsMonitor to cache TOptions instances.
OptionsSnapshot<TOptions>: Used to access the value of TOptions for the lifetime of a request.
OrderByClause: A clause that defines a single ordering direction for a field.
OrVectorStoreFilter: A filter that requires at least one of filters to match.
PatternMatchingResult: Represents a collection of FilePatternMatch
PhysicalDirectoryContents: Represents the contents of a physical file directory
PhysicalDirectoryInfo: Represents a directory on a physical filesystem
PhysicalFileInfo: Represents a file on a physical filesystem
PhysicalFileProvider: Looks up files using the on-disk file system.
PhysicalFileProviderOptions: Options for a PhysicalFileProvider.
PhysicalFilesWatcher: A file watcher that watches a physical filesystem for changes.
PollingFileChangeToken: A change token that polls for file changes.
PollingWildcardChangeToken: A change token that polls for file changes matching a wildcard pattern.
PostConfigureOptions<TOptions>: Represents something that configures the TOptions type.
PostEvictionCallbackRegistration: Registration for a callback that should be called when a cache entry is evicted.
PropertyModel: Represents a property on a vector store record.
ProtectedMaterialEvaluator: Evaluates AI responses for copyrighted or otherwise protected material.
ProviderAliasUtilities: Utilities for working with logger provider aliases.
QualityEvaluatorBase: Shared evaluation loop for AI-based quality evaluators (1–5 scale).
RandomAccessFile: Random access to the data in a file.
ReasoningOptions: Options for configuring reasoning behavior in chat requests.
RecordRetrievalOptions: Options for retrieving records from a vector store collection by key.
ReducingChatClient: A DelegatingChatClient that reduces chat messages before forwarding requests to the inner client.
Registrations: Set of all the registrations in the token source.
RelevanceEvaluator: Evaluates how well an AI response addresses the user's question.
RelevanceTruthAndCompletenessEvaluator: Evaluates an AI response on three dimensions — Relevance, Truth, and Completeness — in a single model call, returning one NumericMetric per dimension (each scored 1–5).
RelevanceTruthAndCompletenessRating: The structured JSON response from RelevanceTruthAndCompletenessEvaluator.
ReportingConfiguration: Bundles all configuration needed to create ScenarioRun instances for an evaluation batch.
RequiredChatToolMode: The model must call at least one tool.
ResponseCache: A key-value cache for ChatResponses used during evaluation.
ResponseCachingChatClient: A CachingChatClient that persists responses to a ResponseCache and records per-turn latency and usage in a ChatDetails object.
ResponseContinuationToken: Represents a token that can be used to resume an interrupted response.
RetrievalEvaluator: Evaluates how well the retrieved context chunks are relevant to the user request and ranked appropriately.
RetrievalEvaluatorContext: Context for RetrievalEvaluator: the retrieved context chunks to assess.
ScenarioRun: Orchestrates the evaluation of a single iteration of a scenario.
ScenarioRunResult: The persisted result of a single ScenarioRun evaluation.
Scope
SelfHarmEvaluator: Evaluates AI responses for self-harm advocacy.
ServiceCollection: Specifies the contract for a collection of service descriptors.
ServiceDescriptor: Describes a service with its service type, implementation, and lifetime.
ServiceFactoryAdapter
ServiceProvider: Defines a mechanism for retrieving a service object; that is, an object that provides custom support to other objects.
ServiceProviderFactory<TContainerBuilder>: Provides an extension point for creating a container specific builder and a ServiceProvider.
ServiceProviderIsKeyedService: Optional service used to determine if the specified type with the specified service key is available from the ServiceProvider.
ServiceProviderIsService: Optional service used to determine if the specified type is available from the ServiceProvider.
ServiceProviderOptions: Options for configuring various behaviors of the default ServiceProvider implementation.
ServiceScope: The dispose() method ends the scope lifetime. Once dispose is called, any scoped services that have been resolved from ServiceProvider will be disposed.
ServiceScopeFactory: A factory for creating instances of ServiceScope, which is used to create services within a scope.
SexualEvaluator: Evaluates AI responses for sexual content.
SimpleConsoleFormatter: A simple console formatter that formats log messages with timestamps, log levels, categories, and exception details.
SimpleConsoleFormatterOptions: Options for the built-in simple console log formatter.
SimpleWordTokenizer: Tokenizes text using rules inspired by the NLTK word tokenizer.
SpeechToTextClient: Represents a speech-to-text client.
SpeechToTextClientBuilder: Builds a pipeline of speech-to-text client middleware.
SpeechToTextClientMetadata: Provides metadata about a speech-to-text client.
SpeechToTextOptions: Options for speech-to-text requests.
SpeechToTextResponse: Represents a speech-to-text response.
SpeechToTextResponseUpdate: Represents a streaming update from a speech-to-text operation.
SpeechToTextResponseUpdateKind: The kind of a speech-to-text response update.
StaticFilterOptionsMonitor
StreamConfigurationProvider: Stream based configuration provider
StreamConfigurationSource: Stream based ConfigurationSource.
StringMetric: An EvaluationMetric with a string value.
SummarizingChatReducer: A ChatReducer that summarizes older messages using a ChatClient.
SupportRequiredService: Optional contract used by ServiceProviderServiceExtensions.getRequiredService() to resolve services if supported by ServiceProvider.
SystemdConsoleFormatter: A console formatter that formats log messages for systemd journal.
SystemdConsoleFormatterOptions: Options for the built-in systemd console log formatter.
TaskAdherenceEvaluator: Evaluates how accurately an AI system adhered to its assigned task, instructions, and any tool use.
TaskAdherenceEvaluatorContext: Context for TaskAdherenceEvaluator: the tool definitions used when generating the response.
Test
TextContent: Represents text content in a chat message.
TextReasoningContent: Represents reasoning or "thinking" content from an AI model.
TextSpanAnnotatedRegion: An annotated region defined by character span indices.
TextToSpeechClient: Represents a text-to-speech client.
TextToSpeechClientBuilder: Builds a pipeline of text-to-speech client middleware.
TextToSpeechClientMetadata: Provides metadata about a TextToSpeechClient.
TextToSpeechOptions: Options for text-to-speech requests.
TextToSpeechResponse: The result of a text-to-speech request.
TextToSpeechResponseUpdate: A single streaming response chunk from a TextToSpeechClient.
ToolApprovalRequestContent: Represents a request for approval before a tool call is executed.
ToolApprovalResponseContent: Represents a response to a ToolApprovalRequestContent, indicating whether the tool call was approved.
ToolCallAccuracyEvaluator: Evaluates how accurately an AI system used the tools available to it, examining relevance, parameter correctness, and value extraction accuracy.
ToolCallAccuracyEvaluatorContext: Context for ToolCallAccuracyEvaluator: the tool definitions used when generating the response.
ToolCallContent: Base class for content types that represent a tool call request.
ToolReductionStrategy: Represents a strategy capable of selecting a reduced set of tools for a chat request.
ToolResultContent: Base class for content types that represent the result of a tool call.
TypedLogger<T>: A generic logger interface used to enable activation of a named logger from dependency injection.
TypedLoggerImpl<T>: Implementation of TypedLogger that wraps an underlying logger instance.
UngroundedAttributesEvaluator: Evaluates AI responses for ungrounded protected-class attributes or emotional state inferences.
UngroundedAttributesEvaluatorContext: Context for UngroundedAttributesEvaluator: the grounding information used to assess whether the response contains ungrounded attributes.
UriContent: Represents content referenced by a URI.
UsageContent: Content representing usage information.
UsageDetails: Provides usage details about a request/response.
ValidateOptions<TOptions>: Interface used to validate options.
ValidateOptions0<TOptions>: Implementation of ValidateOptions<TOptions>
ValidateOptions1<TOptions, TDep>
ValidateOptions2<TOptions, TDep1, TDep2>
ValidateOptions3<TOptions, TDep1, TDep2, TDep3>
ValidateOptions4<TOptions, TDep1, TDep2, TDep3, TDep4>
ValidateOptions5<TOptions, TDep1, TDep2, TDep3, TDep4, TDep5>
ValidateOptionsResult: Represents the result of an options validation.
ValidationResult
VectorDataStrings: Error message factory for vector store provider implementations.
VectorPropertyModel: Represents a vector property on a vector store record.
VectorSearchOptions<TRecord>: Options for a vector similarity search.
VectorSearchResult<TRecord>: Represents a single result from a vector similarity search.
VectorStore: Represents a vector store that holds collections of records.
VectorStoreCollection<TKey, TRecord>: Represents a collection of records in a vector store.
VectorStoreCollectionDefinition: Defines the schema of a vector store collection.
VectorStoreCollectionMetadata: Metadata about a vector store collection.
VectorStoreCollectionOptions: Base options for configuring a VectorStoreCollection.
VectorStoreDataAttribute: Marks a property on a record as a data field in a vector store collection.
VectorStoreDataProperty: Defines a data property in a vector store record.
VectorStoreFilter: Represents a filter to apply when querying a vector store collection.
VectorStoreKeyAttribute: Marks a property on a record as the key field in a vector store collection.
VectorStoreKeyProperty: Defines a key property in a vector store record.
VectorStoreMetadata: Metadata about a vector store instance.
VectorStoreProperty: Base class for all vector store record property definitions.
VectorStoreVectorAttribute: Marks a property on a record as a vector field in a vector store collection.
VectorStoreVectorProperty: Defines a vector property in a vector store record.
ViolenceEvaluator: Evaluates AI responses for violent content.
WebSearchToolCallContent: Represents a web search tool call invoked by a hosted service.
WebSearchToolResultContent: Represents the result of a web search tool invocation by a hosted service.
XFile: A CrossFile is a cross-platform, simplified File abstraction.
XFileInfo: Represents a file using cross_file's XFile for cross-platform support.
XmlConfigurationParser: Parses XML configuration data into key-value pairs.
XmlConfigurationProvider: An XML based ConfigurationProvider.
XmlConfigurationSource: Represents an XML configuration string as a ConfigurationSource.
XmlStreamConfigurationProvider: XML configuration provider that reads from a stream.
XmlStreamConfigurationSource: Represents an XML stream as a ConfigurationSource.

Enums

CacheItemPriority: Specifies how items are prioritized for preservation during a memory pressure triggered cleanup.
EvaluationDiagnosticSeverity: Severity of an EvaluationDiagnostic.
EvaluationRating: Identifies how the result of an evaluation should be interpreted.
EvictionReason: Specifies the reason why a cache entry was evicted.
ExclusionFilters: Specifies filtering behavior for files or directories.
FunctionInvocationStatus: The status of a function invocation.
LoggerColorBehavior: Describes when to use color when logging messages.
LogLevel
MeterScope: This is used by InstrumentRule to distinguish between meters created via Meter constructors (global) and those created via Dependency Injection with IMeterFactory.Create(MeterOptions) (local).
ReasoningEffort: Specifies the level of reasoning effort to apply when generating responses.
ReasoningOutput: Specifies how reasoning content should be included in the response.
ServiceLifetime: Specifies the lifetime of a service in a ServiceCollection.

Mixins

ConfigurationProviderMixin: Provides configuration key/values for an application.
EnumFlags
ForwardingDirectory<T extends Directory>: A directory that forwards all methods and properties to a delegate.
ForwardingFile: A file that forwards all methods and properties to a delegate.
ForwardingLink: A link that forwards all methods and properties to a delegate.
ForwardingRandomAccessFile: A RandomAccessFile implementation that forwards all methods and properties to a delegate.

Extensions

AIContentExtensions on Iterable<AIContent>: Extensions for working with collections of AIContent.
CacheEntryCommit on CacheEntry: Extension to finalize cache entries after they're configured.
ChainedBuilderExtensions on ConfigurationBuilder: Extension methods for adding Configuration to a ConfigurationBuilder.
ChatClientBuilderServiceCollectionExtensions on ServiceCollection: Provides extension methods for working with ChatClient in the context of ChatClientBuilder.
ChatClientExtensions on ChatClient: Convenience extension methods on ChatClient.
CommandLineConfigurationExtensions on ConfigurationBuilder: Extension methods for registering CommandLineConfigurationProvider with ConfigurationBuilder.
ConfigurationExtensions on Configuration: Extension methods for configuration classes.
ConfigurationRootExtensions on ConfigurationRoot: Extension methods for ConfigurationRoot.
ConfigurationSectionExtensions on ConfigurationSection: Extension methods for configuration section classes.
ConsoleLoggerFactoryExtensions on LoggingBuilder: Extension methods for the LoggerFactory class.
DebugLoggerFactoryExtensions on LoggingBuilder: Extension methods for the LoggerFactory class.
DistributedCacheExtensions on DistributedCache: Extension methods for DistributedCache.
EnumFlagsExtension on int
EnvironmentVariablesExtensions on ConfigurationBuilder
EvaluationMetricExtensions on EvaluationMetric: Extension methods for EvaluationMetric.
FilterLoggingBuilderExtensions on LoggingBuilder: Extension methods for setting up logging services in an ServiceCollection.
FunctionInvokingChatClientBuilderExtensions on ChatClientBuilder: Extension methods for adding FunctionInvokingChatClient to a pipeline.
HostEnvironmentEnvExtensions on HostEnvironment: Extension methods for HostEnvironment.
HostingAbstractionsHostBuilderExtensions on HostBuilder: Provides extension methods for the HostBuilder from the hosting abstractions package.
HostingAbstractionsHostExtensions on Host
HostingHostBuilderExtensions on HostBuilder: Provides extension methods for the HostBuilder from the hosting package.
HttpClientFactoryServiceCollectionExtensions on ServiceCollection: ServiceCollection extensions for configuring HTTP clients.
IniConfigurationExtensions on ConfigurationBuilder: Extension methods for adding INI configuration sources.
InternalConfigurationRootExtensions on ConfigurationRoot: Extensions method for ConfigurationRoot.
JsonConfigurationExtensions on ConfigurationBuilder: Extension methods for adding JsonConfigurationProvider.
LoggerExtensions on Logger
LoggerFactoryExtensions on LoggerFactory: LoggerFactory extension methods for common scenarios.
LoggerFilterOptionsExtensions on LoggerFilterOptions
LoggingBuilderConfigurationExtensions on LoggingBuilder: Extension methods for configuring logging from IConfiguration.
LoggingBuilderExtensions on LoggingBuilder: Extension methods for setting up logging services in a LoggingBuilder.
LoggingChatClientBuilderExtensions on ChatClientBuilder: Provides extensions for configuring LoggingChatClient instances.
LoggingServiceCollectionExtensions on ServiceCollection: Extension methods for setting up logging services in a ServiceCollection.
LogLevelExtensions on LogLevel
MatcherExtensions on Matcher: Extension methods for Matcher to simplify common operations.
MemoryCacheExtensions on MemoryCache: Extension methods for MemoryCache.
MemoryConfigurationBuilderExtensions on ConfigurationBuilder: ConfigurationBuilder extension methods for the MemoryConfigurationProvider.
NGramListExtensions on List<T>: Extension methods for creating n-grams from token lists.
NumericMetricInterpretationExtensions on NumericMetric: Score interpretation helpers for NumericMetric.
OpenAIChatClientExtensions on OpenAIChatClient: Provides extension methods for building OpenAIChatClient pipelines.
OpenAIServiceCollectionExtensions on ServiceCollection: Provides extension methods for registering OpenAI clients in a ServiceCollection.
OpenTelemetryChatClientBuilderExtensions on ChatClientBuilder: Extension methods for adding OpenTelemetryChatClient to a pipeline.
OpenTelemetryEmbeddingGeneratorBuilderExtensions on EmbeddingGeneratorBuilder: Extension methods for adding OpenTelemetryEmbeddingGenerator to a pipeline.
OpenTelemetryImageGeneratorBuilderExtensions on ImageGeneratorBuilder: Extension methods for adding OpenTelemetryImageGenerator to a pipeline.
OpenTelemetryTextToSpeechClientBuilderExtensions on TextToSpeechClientBuilder: Extension methods for adding OpenTelemetryTextToSpeechClient to a pipeline.
OptionsBuilderExtensions on OptionsBuilder<TOptions>
OptionsServiceCollectionExtensions on ServiceCollection: Extension methods for adding options services to the DI container.
QualityMessageListExtensions on List<ChatMessage>: Finds the last user message in a list.
ServiceCollectionContainerBuilderExtensions on ServiceCollection: Extension methods for building a ServiceProvider from a ServiceCollection.
ServiceCollectionDescriptorExtensions on ServiceCollection: Extension methods for adding and removing services to an ServiceCollection.
ServiceCollectionHostedServiceExtensions on ServiceCollection: Extension methods for adding hosted services to a ServiceCollection.
ServiceCollectionServiceExtensions on ServiceCollection: Extension methods for adding services to a ServiceCollection.
ServiceProviderKeyedServiceExtensions on ServiceProvider: Extension methods for getting services from a ServiceProvider.
ServiceProviderServiceExtensions on ServiceProvider: Extension methods for getting services from a ServiceProvider.
ServiceScopeFactoryExtensions on ServiceScopeFactory: Extension methods for getting services from a ServiceScopeFactory.
TypedLoggerFactoryExtensions on LoggerFactory: Extension methods for creating typed loggers.
XmlConfigurationExtensions on ConfigurationBuilder: Extension methods for adding XML configuration sources.

Properties

defaultOpenAIEndpoint → Uri: The default OpenAI API endpoint.
final

Functions

configurationKeyComparator(String? x, String? y) → int
createApplicationBuilder({HostApplicationBuilderSettings? settings}) → HostApplicationBuilder
createDefaultBuilder([List<String>? args]) → HostBuilder: Initializes a new instance of the HostBuilder class with pre-configured defaults.
equals(String value1, String value2, {bool ignoreCase = true}) → bool
isNullOrEmpty(String? value) → bool
isNullOrWhitespace(String? value) → bool

Typedefs

AdditionalPropertiesDictionary = Map<String, Object?>: A dictionary of additional properties.
CallbackRegistration = void Function(Object? state)
CancellationCallback = void Function(Object? state)
CategoryLevelFilterAction = bool Function(String? category, LogLevel level)
ChangeCallback = void Function(Object? state): Callback signature for change notifications.
ChangeTokenConsumer = void Function(): Action called when the token changes.
ChangeTokenProducer = ChangeToken? Function(): Produces the change token.
ChangeTokenTypedConsumer<TState> = void Function(TState? state): Action called when the token changes with state.
ChatClientFactory = ChatClient Function(ChatClient innerClient): A factory that creates middleware by wrapping an inner ChatClient.
ChatClientFactoryWithServices = ChatClient Function(ChatClient innerClient, ServiceProvider services): A factory that creates middleware by wrapping an inner ChatClient and receiving the active ServiceProvider.
ChatClientResponseHandler = Future<ChatResponse> Function(Iterable<ChatMessage> messages, ChatOptions? options, ChatClient innerClient, CancellationToken? cancellationToken): A function that handles a chat response request.
ChatClientSharedDelegate = Future<void> Function(Iterable<ChatMessage> messages, ChatOptions? options, Future<void> next(Iterable<ChatMessage> messages, ChatOptions? options, CancellationToken? cancellationToken), CancellationToken? cancellationToken): Delegate used to wrap both non-streaming and streaming operations.
ChatClientStreamingResponseHandler = Stream<ChatResponseUpdate> Function(Iterable<ChatMessage> messages, ChatOptions? options, ChatClient innerClient, CancellationToken? cancellationToken): A function that handles a streaming chat response request.
Configuration = IConfiguration: Alias for IConfiguration for backwards compatibility.
ConfigureAppConfigurationDelegate = void Function(HostBuilderContext context, ConfigurationBuilder configuration)
ConfigureContainer<TContainerBuilder> = void Function(TContainerBuilder containerBuilder)
ConfigureContainerBuilder<TContainerBuilder> = void Function(TContainerBuilder containerBuilder)
ConfigureContainerDelegate<TContainerBuilder> = TContainerBuilder Function(HostBuilderContext context, TContainerBuilder builder)
ConfigureDefaultServiceProvider = void Function(HostBuilderContext context, ServiceProviderOptions options)
ConfigureFilter = bool Function(String name, String category, LogLevel level)
ConfigureFunctionInvokingChatClient = void Function(FunctionInvokingChatClient client)
ConfigureHostConfigurationDelegate = void Function(ConfigurationBuilder configuration)
ConfigureLoggerFactoryOptions = void Function(LoggerFactoryOptions options)
ConfigureLoggingBuilder = void Function(LoggingBuilder builder)
ConfigureLoggingChatClient = void Function(LoggingChatClient client)
ConfigureOptionsAction1 = void Function(LoggerFilterOptions options)
ConfigureServicesDelegate = void Function(HostBuilderContext context, ServiceCollection services)
ContextResolver = HostBuilderContext? Function()
CreateServiceProvider = ServiceProvider Function()
FactoryResolver<TContainerBuilder> = ServiceProviderFactory<TContainerBuilder> Function(HostBuilderContext hostContext)
FilterAction = bool Function(String provider, String category, LogLevel level)
HttpClientAction = void Function(BaseClient client, ServiceProvider services)
HttpMessageHandlerBuilderAction = void Function(HttpMessageHandlerBuilder builder, ServiceProvider services)
ImplementationFactory = Object Function(ServiceProvider services): A factory to create new instances of the service implementation.
InnerClientFactory = ChatClient Function(ServiceProvider services)
InnerEmbeddingGeneratorFactory = EmbeddingGenerator Function(ServiceProvider services): A factory that creates an EmbeddingGenerator from a ServiceProvider.
InnerHostedFileClientFactory = HostedFileClient Function(ServiceProvider services): A factory that creates a HostedFileClient from a ServiceProvider.
InnerImageGeneratorFactory = ImageGenerator Function(ServiceProvider services): A factory that creates an ImageGenerator from a ServiceProvider.
InnerSpeechToTextClientFactory = SpeechToTextClient Function(ServiceProvider services): A factory that creates a SpeechToTextClient from a ServiceProvider.
InnerTextToSpeechClientFactory = TextToSpeechClient Function(ServiceProvider services): A factory that creates a TextToSpeechClient from a ServiceProvider.
KeyedImplementationFactory = Object Function(ServiceProvider services, Object? serviceKey)
LevelFilterAction = bool Function(LogLevel level)
LogFormatter<TState> = String Function(TState state, Object? error): Function to create a String message of the state and exception.
MeasurementCallback<TValue> = void Function(Instrument instrument, TValue measurement, Map<String, Object?> tags, Object? state): A callback to represent the MeterListener callbacks used in measurements recording operation.
PostEvictionDelegate = void Function(Object key, Object? value, EvictionReason reason, Object? state): Signature for callbacks that are called when a cache entry is evicted.
ServiceProviderFactoryDelegate<TContainerBuilder> = ServiceProviderFactory<TContainerBuilder> Function(HostBuilderContext? context)
Task = Future<void>
TimerCallback = void Function(Object? state)
TypedImplementationFactory<T> = T Function(ServiceProvider services)
TypedKeyedImplementationFactory<T> = T Function(ServiceProvider services, Object? serviceKey)
ValidationCallback0<TOptions> = bool Function(TOptions options)
ValidationCallback1<TOptions, TDep> = bool Function(TOptions options, TDep dependency)
ValidationCallback2<TOptions, TDep1, TDep2> = bool Function(TOptions options, TDep1 dependency1, TDep2 dependency2)
ValidationCallback3<TOptions, TDep1, TDep2, TDep3> = bool Function(TOptions options, TDep1 dependency1, TDep2 dependency2, TDep3 dependency3)
ValidationCallback4<TOptions, TDep1, TDep2, TDep3, TDep4> = bool Function(TOptions options, TDep1 dependency1, TDep2 dependency2, TDep3 dependency3, TDep4 dependency4)
ValidationCallback5<TOptions, TDep1, TDep2, TDep3, TDep4, TDep5> = bool Function(TOptions options, TDep1 dependency1, TDep2 dependency2, TDep3 dependency3, TDep4 dependency4, TDep5 dependency5)
VoidCallback = void Function()

Exceptions / Errors

AggregateException: Represents one or more errors that occur during application execution.
ArgumentException: The exception that is thrown when one of the arguments provided to a method is not valid.
ArgumentNullException: An exception that is thrown when a method is invoked and at least one of the passed arguments is null but should never be null.
FileNotFoundException
FileSystemException: Exception thrown when a file operation fails.
IOException: Base class for all IO related exceptions.
ObjectDisposedException: /// The exception that is thrown when accessing an object that was disposed.
OperationCanceledException: The exception that is thrown in a thread upon cancellation of an operation that the thread was executing.
OSError: An Exception holding information about an error from the operating system.
SystemException: This class is provided as a means to differentiate between system exceptions and application exceptions.
VectorStoreException: Represents an error that occurred while interacting with a vector store.

extensions library

Classes

Enums

Mixins

Extensions

Properties

Functions

Typedefs

Exceptions / Errors

extensions package

extensions library