|
AgentClusterInsightRequest(String, InsightModelConfiguration)
|
Insights on set of Agent Evaluation Results.
|
|
AgentClusterInsightResult(ClusterInsightResult)
|
Insights from the agent cluster analysis.
|
|
AgentDataGenerationJobSource(String, String, String)
|
Agent source for data generation jobs — references an agent to fetch instructions and metadata from.
|
|
AgentEvaluatorGenerationJobSource(String, String, String)
|
Agent source for evaluator generation jobs — references an agent to fetch instructions and metadata from.
|
|
AgenticIdentityPreviewCredentials()
|
Agentic identity credential definition.
|
|
AIProjectBlobReference(Uri, String, BlobReferenceSasCredential)
|
Blob reference details.
|
|
AIProjectConnection(String, String, ConnectionType, String, Boolean, AIProjectConnectionBaseCredential, IReadOnlyDictionary<String,String>)
|
Response from the list and get connections operations.
|
|
AIProjectConnectionApiKeyCredential(String)
|
API Key Credential definition.
|
|
AIProjectConnectionBaseCredential(String)
|
A base class for connection credentials
Please note this is the abstract base class. The derived classes available for instantiation are: AIProjectConnectionApiKeyCredential, AIProjectConnectionEntraIdCredential, AIProjectConnectionCustomCredential, AIProjectConnectionSasCredential, NoAuthenticationCredentials, and AgenticIdentityPreviewCredentials.
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|
AIProjectConnectionCustomCredential(IReadOnlyDictionary<String,String>)
|
Custom credential definition.
|
|
AIProjectConnectionEntraIdCredential()
|
Entra ID credential definition.
|
|
AIProjectConnectionSasCredential(String)
|
Shared Access Signature (SAS) credential definition.
|
|
AIProjectCosmosDBIndex(String, String, String, String, IDictionary<String,
String>, String, String, String, EmbeddingConfiguration, AIProjectIndexFieldMapping)
|
CosmosDB Vector Store Index Definition.
|
|
AIProjectDataset(Uri, String, Nullable<Boolean>, String, String, String, String, String, IDictionary<String,String>)
|
DatasetVersion Definition
Please note this is the abstract base class. The derived classes available for instantiation are: FileDataset and FolderDataset.
|
|
AIProjectDeployment(String, String)
|
Model Deployment Definition
Please note this is the abstract base class. The derived classes available for instantiation are: ModelDeployment.
|
|
AIProjectIndex(String, String, String, String, String, IDictionary<String,String>)
|
Index resource Definition
Please note this is the abstract base class. The derived classes available for instantiation are: AzureAISearchIndex, ManagedAzureAISearchIndex, and AIProjectCosmosDBIndex.
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|
AIProjectIndexFieldMapping(IEnumerable<String>, String, String, String, IEnumerable<String>, IEnumerable<String>)
|
Field mapping configuration class.
|
|
AzureAIAgentTarget(String, String, IEnumerable<ToolDescription>)
|
Represents a target specifying an Azure AI agent.
|
|
AzureAIModelTarget(String, ModelSamplingParams)
|
Represents a target specifying an Azure AI model for operations requiring model selection.
|
|
AzureAISearchIndex(String, String, String, String, IDictionary<String,String>, String, String, AIProjectIndexFieldMapping)
|
Azure AI Search Index Definition.
|
|
AzureOpenAIModelConfiguration(String)
|
Azure OpenAI model configuration. The API version would be selected by the service for querying the model.
|
|
BlobReferenceSasCredential(Uri)
|
SAS Credential definition.
|
|
ChartCoordinate(Int32, Int32, Int32)
|
Coordinates for the analysis chart.
|
|
ClusterInsightResult(InsightSummary, IEnumerable<InsightCluster>, IDictionary<String,ChartCoordinate>)
|
Insights from the cluster analysis.
|
|
ClusterTokenUsage(Int32, Int32, Int32)
|
Token usage for cluster analysis.
|
|
CodeBasedEvaluatorDefinition(BinaryData, BinaryData, IDictionary<String,EvaluatorMetric>, String, String, String, Uri)
|
Code-based evaluator definition using python code.
|
|
ContinuousEvaluationRuleAction(String, Nullable<Int32>)
|
Evaluation rule action for continuous evaluation.
|
|
DataGenerationJobInputs(String, IEnumerable<DataGenerationJobSource>, DataGenerationJobOptions, DataGenerationJobScenario)
|
Caller-supplied inputs for a data generation job.
|
|
DataGenerationJobOptions(String, Int32, Nullable<Single>, DataGenerationModelOptions)
|
Options for managing data generation jobs.
Please note this is the abstract base class. The derived classes available for instantiation are: SimpleQnADataGenerationJobOptions, TracesDataGenerationJobOptions, and ToolUseFineTuningDataGenerationJobOptions.
|
|
DataGenerationJobOutput(String)
|
Output information for a data generation job.
Please note this is the abstract base class. The derived classes available for instantiation are: FileDataGenerationJobOutput and DatasetDataGenerationJobOutput.
|
|
DataGenerationJobResult(IEnumerable<DataGenerationJobOutput>, Int32, DataGenerationTokenUsage)
|
Result produced by a successful data generation job.
|
|
DataGenerationJobSource(String, String)
|
The base source model for data generation jobs.
Please note this is the abstract base class. The derived classes available for instantiation are: PromptDataGenerationJobSource, AgentDataGenerationJobSource, TracesDataGenerationJobSource, DatasetDataGenerationJobSource, and FileDataGenerationJobSource.
|
|
DataGenerationModelOptions(String)
|
LLM model options for data generation jobs.
|
|
DataGenerationTokenUsage(Int64, Int64, Int64)
|
Token usage information for a data generation job.
|
|
DatasetCredential(AIProjectBlobReference)
|
Represents a reference to a blob for consumption.
|
|
DatasetDataGenerationJobOutput(String, String, String, String, IDictionary<String,String>)
|
Dataset output for a data generation job.
|
|
DatasetDataGenerationJobSource(String, String, String)
|
Dataset source for data generation jobs — reference to a dataset.
|
|
DatasetEvaluatorGenerationJobSource(String, String, String)
|
Dataset source for evaluator generation jobs — reference to a dataset.
|
|
DatasetReference(String, String)
|
Reference to a versioned Foundry Dataset.
|
|
DeleteMemoryStoreResponse(String, Boolean)
|
The DeleteMemoryStoreResponse.
|
|
EmbeddingConfiguration(String, String)
|
Embedding configuration class.
|
|
EvalResult(String, String, Single, Boolean)
|
Result of the evaluation.
|
|
EvalRunResultCompareItem(String, EvalRunResultSummary, Single, Single, TreatmentEffectType)
|
Metric comparison for a treatment against the baseline.
|
|
EvalRunResultComparison(String, String, String, EvalRunResultSummary, IEnumerable<EvalRunResultCompareItem>)
|
Comparison results for treatment runs against the baseline.
|
|
EvalRunResultSummary(String, Int32, Single, Single)
|
Summary statistics of a metric in an evaluation run.
|
|
EvaluationComparisonInsightRequest(String, String, IEnumerable<String>)
|
Evaluation Comparison Request.
|
|
EvaluationComparisonInsightResult(IEnumerable<EvalRunResultComparison>, String)
|
Insights from the evaluation comparison.
|
|
EvaluationRule(String, String, String, EvaluationRuleAction, EvaluationRuleFilter,
EvaluationRuleEventType, Boolean, IReadOnlyDictionary<String,
String>)
|
Evaluation rule model.
|
|
EvaluationRuleAction(String)
|
Evaluation action model.
Please note this is the abstract base class. The derived classes available for instantiation are: ContinuousEvaluationRuleAction and HumanEvaluationPreviewRuleAction.
|
|
EvaluationRuleFilter(String)
|
Evaluation filter model.
|
|
EvaluationRunClusterInsightRequest(String, IEnumerable<String>, InsightModelConfiguration)
|
Insights on set of Evaluation Results.
|
|
EvaluationRunClusterInsightResult(ClusterInsightResult)
|
Insights from the evaluation run cluster analysis.
|
|
EvaluationScheduleTask(IDictionary<String,String>, String, BinaryData)
|
Evaluation task for the schedule.
|
|
EvaluationTarget(String)
|
Base class for targets with discriminator support.
Please note this is the abstract base class. The derived classes available for instantiation are: AzureAIModelTarget and AzureAIAgentTarget.
|
|
EvaluationTaxonomy(String, String, String, String, IDictionary<String,
String>, EvaluationTaxonomyInput, IEnumerable<TaxonomyCategory>,
IDictionary<String,String>)
|
Evaluation Taxonomy Definition.
|
|
EvaluatorDefinition(String, BinaryData, BinaryData, IDictionary<String,EvaluatorMetric>)
|
Base evaluator configuration with discriminator
Please note this is the abstract base class. The derived classes available for instantiation are: CodeBasedEvaluatorDefinition, PromptBasedEvaluatorDefinition, and RubricBasedEvaluatorDefinition.
|
|
EvaluatorGenerationArtifacts(DatasetReference, IEnumerable<String>)
|
Service-managed provenance artifacts produced by an evaluator generation job. Present only on EvaluatorVersion resources created via the generation pipeline. The combined-JSONL Foundry Dataset is read-only and resolves to a versioned dataset in a service-reserved namespace.
|
|
EvaluatorGenerationInputs(String, IEnumerable<EvaluatorGenerationJobSource>, Nullable<EvaluatorCategory>, String, String)
|
Caller-supplied inputs for an evaluator generation job.
|
|
EvaluatorGenerationJobSource(String)
|
The base source model for evaluator generation jobs. Polymorphic over type.
Please note this is the abstract base class. The derived classes available for instantiation are: PromptEvaluatorGenerationJobSource, AgentEvaluatorGenerationJobSource, TracesEvaluatorGenerationJobSource, and DatasetEvaluatorGenerationJobSource.
|
|
EvaluatorGenerationTokenUsage(Int64, Int64, Int64)
|
Token consumption summary for an evaluator generation job. Populated when the job reaches a terminal state.
|
|
EvaluatorMetric(Nullable<EvaluatorMetricType>, Nullable<EvaluatorMetricDirection>,
Nullable<Single>, Nullable<Single>, Nullable<Single>, Nullable<Boolean>)
|
Evaluator Metric.
|
|
EvaluatorVersion(String, IDictionary<String,String>, EvaluatorType,
IEnumerable<EvaluatorCategory>, EvaluatorDefinition, EvaluatorGenerationArtifacts,
String, String, String, String, String, String, String, IDictionary<String,
String>)
|
Evaluator Definition.
|
|
FileDataGenerationJobOutput(String, String)
|
Azure OpenAI file output for a data generation job.
|
|
FileDataGenerationJobSource(String, String)
|
File source for data generation jobs — Azure OpenAI file input.
|
|
FileDataset(Uri, Nullable<Boolean>, String, String, String, String, String, IDictionary<String,String>)
|
FileDatasetVersion Definition.
|
|
FolderDataset(Uri, Nullable<Boolean>, String, String, String, String, String, IDictionary<String,String>)
|
FileDatasetVersion Definition.
|
|
HumanEvaluationPreviewRuleAction(String)
|
Evaluation rule action for human evaluation.
|
|
InputFileContentParam(String, String, String, Uri)
|
Input file.
|
|
InputTextContentParam(String)
|
Input text.
|
|
InsightCluster(String, String, String, String, String, Int32, IEnumerable<InsightCluster>, IEnumerable<InsightSample>)
|
A cluster of analysis samples.
|
|
InsightModelConfiguration(String)
|
Configuration of the model used in the insight generation.
|
|
InsightRequest(String)
|
The request of the insights report.
Please note this is the abstract base class. The derived classes available for instantiation are: EvaluationRunClusterInsightRequest, AgentClusterInsightRequest, and EvaluationComparisonInsightRequest.
|
|
InsightResult(String)
|
The result of the insights.
Please note this is the abstract base class. The derived classes available for instantiation are: EvaluationComparisonInsightResult, EvaluationRunClusterInsightResult, and AgentClusterInsightResult.
|
|
InsightScheduleTask(IDictionary<String,String>, ProjectsInsight)
|
Insight task for the schedule.
|
|
InsightsMetadata(DateTimeOffset, Nullable<DateTimeOffset>)
|
Metadata about the insights.
|
|
InsightSummary(Int32, Int32, Int32, String, ClusterTokenUsage)
|
Summary of the error cluster analysis.
|
|
ManagedAzureAISearchIndex(String, String, String, String, IDictionary<String,String>, String)
|
Managed Azure AI Search Index Definition.
|
|
MemoryOperation(MemoryOperationKind, MemoryItem)
|
Represents a single memory operation (create, update, or delete) performed on a memory item.
|
|
MemorySearchItem(MemoryItem)
|
A retrieved memory item from memory search.
|
|
MemorySearchResultOptions(Nullable<Int32>)
|
Memory search options.
|
|
MemoryStore(String, DateTimeOffset, DateTimeOffset, String, String, IDictionary<String,String>, MemoryStoreDefinition)
|
A memory store that can store and retrieve user memories.
|
|
MemoryStoreDefaultOptions(Boolean, String, Boolean)
|
Default memory store configurations.
|
|
MemoryStoreDeleteScopeResponse(String, String, Boolean)
|
Response for deleting memories from a scope.
|
|
MemoryStoreOperationUsage(Int32, Int64, ResponseUsageInputTokensDetails, Int64, ResponseUsageOutputTokensDetails, Int64)
|
Usage statistics of a memory store operation.
|
|
MemoryStoreSearchResponse(String, IEnumerable<MemorySearchItem>, MemoryStoreOperationUsage)
|
Memory search response.
|
|
MemoryUpdateResultDetails(IEnumerable<MemoryOperation>, MemoryStoreOperationUsage)
|
Memory update result.
|
|
ModelDeployment(String, String, String, String, IReadOnlyDictionary<String,String>, ModelDeploymentSku, String)
|
Model Deployment Definition.
|
|
ModelDeploymentSku(Int64, String, String, String, String)
|
Sku information.
|
|
ModelSamplingParams(Single, Single, Int32, Int32)
|
Represents a set of parameters used to control the sampling behavior of a language model during text generation.
|
|
NoAuthenticationCredentials()
|
Credentials that do not require authentication.
|
|
PendingUploadConfiguration(String, String)
|
Represents a request for a pending upload.
|
|
PendingUploadResult(AIProjectBlobReference, String, String)
|
Represents the response for a pending upload request.
|
|
ProjectsInsight(String, InsightsMetadata, OperationStatus, String, InsightRequest, InsightResult)
|
The response body for cluster insights.
|
|
ProjectsSchedule(String, String, String, Boolean, Nullable<ScheduleProvisioningStatus>,
ScheduleTrigger, ProjectsScheduleTask, IDictionary<String,String>,
IDictionary<String,String>, IReadOnlyDictionary<String,String>)
|
Schedule model.
|
|
ProjectsScheduleTask(String, IDictionary<String,String>)
|
Schedule task model.
Please note this is the abstract base class. The derived classes available for instantiation are: EvaluationScheduleTask and InsightScheduleTask.
|
|
PromptBasedEvaluatorDefinition(BinaryData, BinaryData, IDictionary<String,EvaluatorMetric>, String)
|
Prompt-based evaluator.
|
|
PromptDataGenerationJobSource(String, String)
|
Prompt source for data generation jobs — inline text provided by the user.
|
|
PromptEvaluatorGenerationJobSource(String, String)
|
Prompt source for evaluator generation jobs — inline text provided by the user.
|
|
RedTeam(String, String, Nullable<Int32>, IEnumerable<AttackStrategy>,
Nullable<Boolean>, IEnumerable<RiskCategory>, String, IDictionary<String,
String>, IDictionary<String,String>, String, TargetConfig)
|
Red team details.
|
|
ResponseUsageInputTokensDetails(Int64)
|
The ResponseUsageInputTokensDetails.
|
|
ResponseUsageOutputTokensDetails(Int64)
|
The ResponseUsageOutputTokensDetails.
|
|
RubricBasedEvaluatorDefinition(BinaryData, BinaryData, IDictionary<String,EvaluatorMetric>, IEnumerable<RubricCriterion>)
|
Rubric-based evaluator definition — stores rubric criteria produced by the generate API. Used for both quality and safety evaluators.
|
|
RubricCriterion(String, String, Int32, Nullable<Boolean>)
|
A single rubric criterion — one measurable quality dimension in an evaluator's scoring blueprint.
|
|
ScheduleRun(String, String, Boolean, Nullable<DateTimeOffset>, String, IReadOnlyDictionary<String,String>)
|
Schedule run model.
|
|
SimpleQnADataGenerationJobOptions(Int32, Nullable<Single>, DataGenerationModelOptions, IEnumerable<SimpleQnAFineTuningQuestionType>)
|
The options for a data generation job with SimpleQnA type.
|
|
TargetConfig(String)
|
Abstract class for target configuration.
Please note this is the abstract base class. The derived classes available for instantiation are: AzureOpenAIModelConfiguration.
|
|
TaxonomyCategory(String, String, String, RiskCategory, IEnumerable<TaxonomySubCategory>, IDictionary<String,String>)
|
Taxonomy category definition.
|
|
TaxonomySubCategory(String, String, String, Boolean, IDictionary<String,String>)
|
Taxonomy sub-category definition.
|
|
ToolDescription(String, String)
|
Description of a tool that can be used by an agent.
|
|
ToolUseFineTuningDataGenerationJobOptions(Int32, Nullable<Single>, DataGenerationModelOptions)
|
The options for a data generation job with ToolUse type. Used only for fine-tuning scenarios.
|
|
TracesDataGenerationJobOptions(Int32, Nullable<Single>, DataGenerationModelOptions)
|
The options for a data generation job with Traces type.
|
|
TracesDataGenerationJobSource(String, String, String, String, Nullable<DateTimeOffset>, Nullable<DateTimeOffset>, Nullable<Int32>)
|
Traces source for data generation jobs — conversation traces from Application Insights.
|
|
TracesEvaluatorGenerationJobSource(String, String, String, String, Nullable<DateTimeOffset>, Nullable<DateTimeOffset>, Nullable<Int32>)
|
Traces source for evaluator generation jobs — conversation traces from Application Insights.
|
