diff --git a/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQAsync.java b/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQAsync.java index 5b4c67bc5cb2..3c1ac5bae159 100644 --- a/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQAsync.java +++ b/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQAsync.java @@ -28,6 +28,7 @@ *
  • FOUNDRY_PROJECT_ENDPOINT - The Azure AI Project endpoint.
    • *
  • FOUNDRY_MODEL_NAME - The model deployment name.
    • *
  • FABRIC_IQ_PROJECT_CONNECTION_ID - The FabricIQ connection ID.
    • + *
  • FABRIC_IQ_USER_INPUT - Optional. The natural-language question to send to the agent.
    • * */ public class FabricIQAsync { @@ -35,6 +36,8 @@ public static void main(String[] args) { String endpoint = Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT"); String model = Configuration.getGlobalConfiguration().get("FOUNDRY_MODEL_NAME"); String fabricIqConnectionId = Configuration.getGlobalConfiguration().get("FABRIC_IQ_PROJECT_CONNECTION_ID"); + String userInput = Configuration.getGlobalConfiguration().get("FABRIC_IQ_USER_INPUT", + "Use FabricIQ to summarize the available enterprise context."); AgentsClientBuilder builder = new AgentsClientBuilder() .credential(new DefaultAzureCredentialBuilder().build()) @@ -51,10 +54,10 @@ public static void main(String[] args) { .setDescription("Use FabricIQ to answer questions grounded in enterprise data."); PromptAgentDefinition agentDefinition = new PromptAgentDefinition(model) - .setInstructions("You are a data assistant that can use FabricIQ for grounded enterprise answers.") + .setInstructions("Use the available Fabric IQ tools to answer questions and perform tasks.") .setTools(Collections.singletonList(fabricIqTool)); - agentsAsyncClient.createAgentVersion("fabric-iq-async-agent", agentDefinition) + agentsAsyncClient.createAgentVersion("fabric-iq-agent", agentDefinition) .flatMap(agent -> { agentRef.set(agent); System.out.printf("Agent created: %s (version %s)%n", agent.getName(), agent.getVersion()); @@ -65,7 +68,7 @@ public static void main(String[] args) { return responsesAsyncClient.createAzureResponse( new AzureCreateResponseOptions().setAgentReference(agentReference), ResponseCreateParams.builder() - .input("Use FabricIQ to summarize the available enterprise context.")); + .input(userInput)); }) .doOnNext(response -> System.out.println("Response: " + response.output())) .then(Mono.defer(() -> { diff --git a/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQSync.java b/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQSync.java index 34d7272b8c06..bbdbc1d6bfea 100644 --- a/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQSync.java +++ b/sdk/ai/azure-ai-agents/src/samples/java/com/azure/ai/agents/tools/FabricIQSync.java @@ -26,6 +26,7 @@ *
  • FOUNDRY_PROJECT_ENDPOINT - The Azure AI Project endpoint.
    • *
  • FOUNDRY_MODEL_NAME - The model deployment name.
    • *
  • FABRIC_IQ_PROJECT_CONNECTION_ID - The FabricIQ connection ID.
    • + *
  • FABRIC_IQ_USER_INPUT - Optional. The natural-language question to send to the agent.
    • * */ public class FabricIQSync { @@ -33,6 +34,8 @@ public static void main(String[] args) { String endpoint = Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT"); String model = Configuration.getGlobalConfiguration().get("FOUNDRY_MODEL_NAME"); String fabricIqConnectionId = Configuration.getGlobalConfiguration().get("FABRIC_IQ_PROJECT_CONNECTION_ID"); + String userInput = Configuration.getGlobalConfiguration().get("FABRIC_IQ_USER_INPUT", + "Use FabricIQ to summarize the available enterprise context."); AgentsClientBuilder builder = new AgentsClientBuilder() .credential(new DefaultAzureCredentialBuilder().build()) @@ -52,7 +55,7 @@ public static void main(String[] args) { // END: com.azure.ai.agents.define_fabric_iq PromptAgentDefinition agentDefinition = new PromptAgentDefinition(model) - .setInstructions("You are a data assistant that can use FabricIQ for grounded enterprise answers.") + .setInstructions("Use the available Fabric IQ tools to answer questions and perform tasks.") .setTools(Collections.singletonList(fabricIqTool)); AgentVersionDetails agent = agentsClient.createAgentVersion("fabric-iq-agent", agentDefinition); @@ -65,7 +68,7 @@ public static void main(String[] args) { Response response = responsesClient.createAzureResponse( new AzureCreateResponseOptions().setAgentReference(agentReference), ResponseCreateParams.builder() - .input("Use FabricIQ to summarize the available enterprise context.")); + .input(userInput)); System.out.println("Response: " + response.output()); } finally { diff --git a/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/ClientTestBase.java b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/ClientTestBase.java index 2a7665179e1e..7faf4aa951e5 100644 --- a/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/ClientTestBase.java +++ b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/ClientTestBase.java @@ -44,10 +44,10 @@ protected AgentsClientBuilder getClientBuilder(HttpClient httpClient, AgentsServ builder.endpoint("https://localhost:8080").credential(new MockTokenCredential()); } else if (testMode == TestMode.RECORD) { builder.addPolicy(interceptorManager.getRecordPolicy()) - .endpoint(Configuration.getGlobalConfiguration().get("AZURE_AGENTS_ENDPOINT")) + .endpoint(Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT")) .credential(new DefaultAzureCredentialBuilder().build()); } else { - builder.endpoint(Configuration.getGlobalConfiguration().get("AZURE_AGENTS_ENDPOINT")) + builder.endpoint(Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT")) .credential(new DefaultAzureCredentialBuilder().build()); } diff --git a/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesAsyncTests.java b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesAsyncTests.java new file mode 100644 index 000000000000..e4e5c7cc30c5 --- /dev/null +++ b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesAsyncTests.java @@ -0,0 +1,52 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +package com.azure.ai.agents.tools; + +import com.azure.ai.agents.AgentsAsyncClient; +import com.azure.ai.agents.AgentsClientBuilder; +import com.azure.ai.agents.AgentsServiceVersion; +import com.azure.ai.agents.ResponsesAsyncClient; +import com.azure.ai.agents.models.AgentReference; +import com.azure.ai.agents.models.AgentVersionDetails; +import com.azure.ai.agents.models.AzureCreateResponseOptions; +import com.azure.core.http.HttpClient; +import com.openai.models.responses.Response; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Disabled; +import org.junit.jupiter.api.Timeout; +import org.junit.jupiter.api.parallel.ResourceLock; +import org.junit.jupiter.params.ParameterizedTest; +import org.junit.jupiter.params.provider.MethodSource; + +import java.time.Duration; +import java.util.concurrent.TimeUnit; + +public class FabricIQSamplesAsyncTests extends FabricIQSamplesTestBase { + + @Timeout(value = 5, unit = TimeUnit.MINUTES) + @Disabled("getting 500 from service") + @ResourceLock(FABRIC_IQ_RESOURCE_LOCK) + @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) + @MethodSource("getTestParameters") + public void fabricIqAsyncSample(HttpClient httpClient, AgentsServiceVersion serviceVersion) { + AgentsClientBuilder builder = getClientBuilder(httpClient, serviceVersion); + AgentsAsyncClient agentsAsyncClient = builder.buildAgentsAsyncClient(); + ResponsesAsyncClient responsesAsyncClient = builder.buildResponsesAsyncClient(); + + String agentName = testResourceNamer.randomName("fabric-iq-async-", 40); + AgentVersionDetails agent + = agentsAsyncClient.createAgentVersion(agentName, createAgentDefinition()).block(Duration.ofMinutes(2)); + Assertions.assertNotNull(agent); + + AgentReference agentReference = new AgentReference(agent.getName()).setVersion(agent.getVersion()); + Response response + = responsesAsyncClient + .createAzureResponse(new AzureCreateResponseOptions().setAgentReference(agentReference), + createResponseParams()) + .block(Duration.ofMinutes(3)); + + assertCompletedResponse(response); + agentsAsyncClient.deleteAgentVersion(agent.getName(), agent.getVersion()).block(Duration.ofMinutes(1)); + } +} diff --git a/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTestBase.java b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTestBase.java new file mode 100644 index 000000000000..a4782fdf689b --- /dev/null +++ b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTestBase.java @@ -0,0 +1,73 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +package com.azure.ai.agents.tools; + +import com.azure.ai.agents.AgentsServiceVersion; +import com.azure.ai.agents.ClientTestBase; +import com.azure.ai.agents.models.FabricIQPreviewTool; +import com.azure.ai.agents.models.PromptAgentDefinition; +import com.azure.core.test.TestMode; +import com.azure.core.util.Configuration; +import com.openai.models.responses.Response; +import com.openai.models.responses.ResponseCreateParams; +import com.openai.models.responses.ResponseStatus; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.params.provider.Arguments; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; +import java.util.stream.Stream; + +import static com.azure.core.test.TestProxyTestBase.getHttpClients; + +abstract class FabricIQSamplesTestBase extends ClientTestBase { + static final String DISPLAY_NAME_WITH_ARGUMENTS = "{displayName} with [{arguments}]"; + static final String FABRIC_IQ_RESOURCE_LOCK = "fabric-iq"; + + private static final String DEFAULT_USER_INPUT = "Tell me weather history in London, Ohio"; + + static Stream getTestParameters() { + List argumentsList = new ArrayList<>(); + getHttpClients().forEach(httpClient -> argumentsList.add(Arguments.of(httpClient, AgentsServiceVersion.V1))); + return argumentsList.stream(); + } + + PromptAgentDefinition createAgentDefinition() { + FabricIQPreviewTool fabricIqTool + = new FabricIQPreviewTool(getRecordedConfig("FABRIC_IQ_PROJECT_CONNECTION_ID")).setRequireApproval("never"); + + return new PromptAgentDefinition(getRecordedConfig("FOUNDRY_MODEL_NAME")) + .setInstructions("Use the available Fabric IQ tools to answer questions and perform tasks.") + .setTools(Collections.singletonList(fabricIqTool)); + } + + String getUserInput() { + return Configuration.getGlobalConfiguration().get("FABRIC_IQ_USER_INPUT", DEFAULT_USER_INPUT); + } + + ResponseCreateParams.Builder createResponseParams() { + return ResponseCreateParams.builder().input(getUserInput()); + } + + void assertCompletedResponse(Response response) { + Assertions.assertNotNull(response); + Assertions.assertTrue(response.status().isPresent()); + Assertions.assertEquals(ResponseStatus.COMPLETED, response.status().get()); + Assertions.assertFalse(response.output().isEmpty()); + Assertions.assertTrue(response.output().stream().anyMatch(item -> item.isMessage())); + } + + private String getRecordedConfig(String name) { + if (getTestMode() == TestMode.PLAYBACK) { + return testResourceNamer.recordValueFromConfig(name); + } + + String value = Configuration.getGlobalConfiguration().get(name); + if (getTestMode() == TestMode.RECORD) { + testResourceNamer.recordValueFromConfig(name); + } + return value; + } +} diff --git a/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTests.java b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTests.java index eda638e6feaf..dc5aaa38d66e 100644 --- a/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTests.java +++ b/sdk/ai/azure-ai-agents/src/test/java/com/azure/ai/agents/tools/FabricIQSamplesTests.java @@ -3,41 +3,45 @@ package com.azure.ai.agents.tools; +import com.azure.ai.agents.AgentsClient; +import com.azure.ai.agents.AgentsClientBuilder; import com.azure.ai.agents.AgentsServiceVersion; -import com.azure.ai.agents.ClientTestBase; +import com.azure.ai.agents.ResponsesClient; import com.azure.core.http.HttpClient; -import org.junit.jupiter.api.Disabled; +import com.azure.ai.agents.models.AgentReference; +import com.azure.ai.agents.models.AgentVersionDetails; +import com.azure.ai.agents.models.AzureCreateResponseOptions; +import com.openai.models.responses.Response; import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Disabled; +import org.junit.jupiter.api.Timeout; +import org.junit.jupiter.api.parallel.ResourceLock; import org.junit.jupiter.params.ParameterizedTest; -import org.junit.jupiter.params.provider.Arguments; import org.junit.jupiter.params.provider.MethodSource; -import java.util.ArrayList; -import java.util.List; -import java.util.stream.Stream; - -import static com.azure.core.test.TestProxyTestBase.getHttpClients; +import java.util.concurrent.TimeUnit; -public class FabricIQSamplesTests extends ClientTestBase { - private static final String DISPLAY_NAME_WITH_ARGUMENTS = "{displayName} with [{arguments}]"; - - static Stream getTestParameters() { - List argumentsList = new ArrayList<>(); - getHttpClients().forEach(httpClient -> argumentsList.add(Arguments.of(httpClient, AgentsServiceVersion.V1))); - return argumentsList.stream(); - } +public class FabricIQSamplesTests extends FabricIQSamplesTestBase { - @Disabled("Requires FABRIC_IQ_PROJECT_CONNECTION_ID and FOUNDRY_MODEL_NAME.") + @Timeout(value = 5, unit = TimeUnit.MINUTES) + @Disabled("getting 500 from service") + @ResourceLock(FABRIC_IQ_RESOURCE_LOCK) @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) @MethodSource("getTestParameters") public void fabricIqSyncSample(HttpClient httpClient, AgentsServiceVersion serviceVersion) { - Assertions.fail("Enable after providing FABRIC_IQ_PROJECT_CONNECTION_ID and FOUNDRY_MODEL_NAME."); - } + AgentsClientBuilder builder = getClientBuilder(httpClient, serviceVersion); + AgentsClient agentsClient = builder.buildAgentsClient(); + ResponsesClient responsesClient = builder.buildResponsesClient(); - @Disabled("Requires FABRIC_IQ_PROJECT_CONNECTION_ID and FOUNDRY_MODEL_NAME.") - @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) - @MethodSource("getTestParameters") - public void fabricIqAsyncSample(HttpClient httpClient, AgentsServiceVersion serviceVersion) { - Assertions.fail("Enable after providing FABRIC_IQ_PROJECT_CONNECTION_ID and FOUNDRY_MODEL_NAME."); + String agentName = testResourceNamer.randomName("fabric-iq-sync-", 40); + AgentVersionDetails agent = agentsClient.createAgentVersion(agentName, createAgentDefinition()); + Assertions.assertNotNull(agent); + + AgentReference agentReference = new AgentReference(agent.getName()); + Response response = responsesClient.createAzureResponse( + new AzureCreateResponseOptions().setAgentReference(agentReference), createResponseParams()); + + assertCompletedResponse(response); + agentsClient.deleteAgentVersion(agent.getName(), agent.getVersion()); } } diff --git a/sdk/ai/azure-ai-projects/README.md b/sdk/ai/azure-ai-projects/README.md index d23f9e7e4fdb..c6b0381f0d3a 100644 --- a/sdk/ai/azure-ai-projects/README.md +++ b/sdk/ai/azure-ai-projects/README.md @@ -67,6 +67,24 @@ EvalService evalService = builder.buildOpenAIClient().evals(); EvalServiceAsync evalAsyncService = builder.buildOpenAIAsyncClient().evals(); ``` +When using Azure-specific evaluator models with OpenAI evaluations, use `EvaluationsHelper` to adapt the Azure model to +the OpenAI request type. This keeps application code from depending on the serialization details used by the OpenAI SDK. + +```java com.azure.ai.projects.evaluationsHelper +Map dataMapping = new LinkedHashMap<>(); +dataMapping.put("query", "{{item.query}}"); +dataMapping.put("response", "{{sample.output_text}}"); + +TestingCriterionAzureAIEvaluator coherenceEvaluator = new TestingCriterionAzureAIEvaluator("coherence", + "builtin.coherence") + .setInitializationParameters(Collections.singletonMap("deployment_name", + BinaryData.fromObject("gpt-4o-mini"))) + .setDataMapping(dataMapping); + +EvalCreateParams.TestingCriterion testingCriterion + = EvaluationsHelper.toTestingCriterion(coherenceEvaluator); +``` + For the Agents operation, you can use the `azure-ai-agents` package which is available as transitive dependency: ```java com.azure.ai.projects.agentsSubClients diff --git a/sdk/ai/azure-ai-projects/assets.json b/sdk/ai/azure-ai-projects/assets.json index dcc3df11c8e3..2f73e2104a7c 100644 --- a/sdk/ai/azure-ai-projects/assets.json +++ b/sdk/ai/azure-ai-projects/assets.json @@ -1 +1 @@ -{"AssetsRepo":"Azure/azure-sdk-assets","AssetsRepoPrefixPath":"java","TagPrefix":"java/ai/azure-ai-projects","Tag": "java/ai/azure-ai-projects_cd9e4bffa9"} \ No newline at end of file +{"AssetsRepo":"Azure/azure-sdk-assets","AssetsRepoPrefixPath":"java","TagPrefix":"java/ai/azure-ai-projects","Tag": "java/ai/azure-ai-projects_c4dd2a11a3"} \ No newline at end of file diff --git a/sdk/ai/azure-ai-projects/pom.xml b/sdk/ai/azure-ai-projects/pom.xml index 742eb83f9ba9..5e4b3e5ff169 100644 --- a/sdk/ai/azure-ai-projects/pom.xml +++ b/sdk/ai/azure-ai-projects/pom.xml @@ -52,6 +52,7 @@ Code generated by Microsoft (R) TypeSpec Code Generator. --add-exports com.azure.core/com.azure.core.implementation.util=ALL-UNNAMED --add-opens com.azure.core/com.azure.core.implementation.util=ALL-UNNAMED + false diff --git a/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/EvaluationsHelper.java b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/EvaluationsHelper.java new file mode 100644 index 000000000000..0aad2ca00767 --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/EvaluationsHelper.java @@ -0,0 +1,31 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +package com.azure.ai.projects; + +import com.azure.ai.projects.implementation.OpenAIJsonHelper; +import com.azure.ai.projects.models.TestingCriterionAzureAIEvaluator; +import com.openai.models.evals.EvalCreateParams; + +/** + * Helper methods for Azure AI evaluations. + */ +public final class EvaluationsHelper { + private EvaluationsHelper() { + } + + /** + * Converts an Azure AI evaluator model to an OpenAI evaluation testing criterion. + * + *

    Use this helper when creating OpenAI evaluations with Azure-specific evaluator types such as + * {@link TestingCriterionAzureAIEvaluator}. The helper preserves the Azure evaluator wire shape while hiding the + * serialization details needed to pass it to the OpenAI SDK.

    + * + * @param evaluator The Azure AI evaluator to use as an evaluation testing criterion. + * @return The OpenAI evaluation testing criterion. + * @throws NullPointerException if {@code evaluator} is null. + */ + public static EvalCreateParams.TestingCriterion toTestingCriterion(TestingCriterionAzureAIEvaluator evaluator) { + return OpenAIJsonHelper.toOpenAIType(evaluator, EvalCreateParams.TestingCriterion.class); + } +} diff --git a/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/implementation/OpenAIJsonHelper.java b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/implementation/OpenAIJsonHelper.java new file mode 100644 index 000000000000..65dbff7a48d2 --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/implementation/OpenAIJsonHelper.java @@ -0,0 +1,47 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +package com.azure.ai.projects.implementation; + +import com.azure.core.util.BinaryData; +import com.azure.json.JsonSerializable; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.openai.core.ObjectMappers; + +import java.io.IOException; + +/** + * Helper methods for adapting Azure SDK models to openai-java models. + */ +public final class OpenAIJsonHelper { + private static final ObjectMapper MAPPER = ObjectMappers.jsonMapper(); + + private OpenAIJsonHelper() { + } + + /** + * Converts an Azure SDK type that implements {@link JsonSerializable} to an openai-java type. + * + * @param azureObject The Azure SDK model to convert. + * @param openAIType The target openai-java type. + * @param The Azure SDK source type. + * @param The openai-java target type. + * @return The openai-java model. + * @throws NullPointerException if {@code azureObject} or {@code openAIType} is null. + * @throws RuntimeException if conversion fails. + */ + public static , T> T toOpenAIType(S azureObject, Class openAIType) { + if (azureObject == null) { + throw new NullPointerException("'azureObject' cannot be null."); + } + if (openAIType == null) { + throw new NullPointerException("'openAIType' cannot be null."); + } + + try { + return MAPPER.readValue(BinaryData.fromObject(azureObject).toString(), openAIType); + } catch (IOException e) { + throw new RuntimeException("Failed to convert Azure SDK type to OpenAI type.", e); + } + } +} diff --git a/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/models/GraderAzureAIEvaluator.java b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/models/GraderAzureAIEvaluator.java new file mode 100644 index 000000000000..738addff1130 --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/models/GraderAzureAIEvaluator.java @@ -0,0 +1,232 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +// Code generated by Microsoft (R) TypeSpec Code Generator. +package com.azure.ai.projects.models; + +import com.azure.core.annotation.Fluent; +import com.azure.core.annotation.Generated; +import com.azure.core.util.BinaryData; +import com.azure.json.JsonReader; +import com.azure.json.JsonSerializable; +import com.azure.json.JsonToken; +import com.azure.json.JsonWriter; +import java.io.IOException; +import java.util.Map; + +/** + * Grader Azure AI Evaluator definition for foundry evaluators. + */ +@Fluent +public final class GraderAzureAIEvaluator implements JsonSerializable { + + /* + * The object type, which is always `azure_ai_evaluator`. + */ + @Generated + private final String type = "azure_ai_evaluator"; + + /* + * The name of the grader. + */ + @Generated + private final String name; + + /* + * The name of the evaluator. + */ + @Generated + private final String evaluatorName; + + /* + * The version of the evaluator. Latest version if not specified. + */ + @Generated + private String evaluatorVersion; + + /* + * The initialization parameters for the evaluation. Must support structured outputs. + */ + @Generated + private Map initializationParameters; + + /* + * The model to use for the evaluation. Must support structured outputs. + */ + @Generated + private Map dataMapping; + + /** + * Creates an instance of GraderAzureAIEvaluator class. + * + * @param name the name value to set. + * @param evaluatorName the evaluatorName value to set. + */ + @Generated + public GraderAzureAIEvaluator(String name, String evaluatorName) { + this.name = name; + this.evaluatorName = evaluatorName; + } + + /** + * Get the type property: The object type, which is always `azure_ai_evaluator`. + * + * @return the type value. + */ + @Generated + public String getType() { + return this.type; + } + + /** + * Get the name property: The name of the grader. + * + * @return the name value. + */ + @Generated + public String getName() { + return this.name; + } + + /** + * Get the evaluatorName property: The name of the evaluator. + * + * @return the evaluatorName value. + */ + @Generated + public String getEvaluatorName() { + return this.evaluatorName; + } + + /** + * Get the evaluatorVersion property: The version of the evaluator. Latest version if not specified. + * + * @return the evaluatorVersion value. + */ + @Generated + public String getEvaluatorVersion() { + return this.evaluatorVersion; + } + + /** + * Set the evaluatorVersion property: The version of the evaluator. Latest version if not specified. + * + * @param evaluatorVersion the evaluatorVersion value to set. + * @return the GraderAzureAIEvaluator object itself. + */ + @Generated + public GraderAzureAIEvaluator setEvaluatorVersion(String evaluatorVersion) { + this.evaluatorVersion = evaluatorVersion; + return this; + } + + /** + * Get the initializationParameters property: The initialization parameters for the evaluation. Must support + * structured outputs. + * + * @return the initializationParameters value. + */ + @Generated + public Map getInitializationParameters() { + return this.initializationParameters; + } + + /** + * Get the dataMapping property: The model to use for the evaluation. Must support structured outputs. + * + * @return the dataMapping value. + */ + @Generated + public Map getDataMapping() { + return this.dataMapping; + } + + /** + * Set the dataMapping property: The model to use for the evaluation. Must support structured outputs. + * + * @param dataMapping the dataMapping value to set. + * @return the GraderAzureAIEvaluator object itself. + */ + @Generated + public GraderAzureAIEvaluator setDataMapping(Map dataMapping) { + this.dataMapping = dataMapping; + return this; + } + + /** + * {@inheritDoc} + */ + @Generated + @Override + public JsonWriter toJson(JsonWriter jsonWriter) throws IOException { + jsonWriter.writeStartObject(); + jsonWriter.writeStringField("type", this.type); + jsonWriter.writeStringField("name", this.name); + jsonWriter.writeStringField("evaluator_name", this.evaluatorName); + jsonWriter.writeStringField("evaluator_version", this.evaluatorVersion); + jsonWriter.writeMapField("initialization_parameters", this.initializationParameters, (writer, element) -> { + if (element == null) { + writer.writeNull(); + } else { + element.writeTo(writer); + } + }); + jsonWriter.writeMapField("data_mapping", this.dataMapping, (writer, element) -> writer.writeString(element)); + return jsonWriter.writeEndObject(); + } + + /** + * Reads an instance of GraderAzureAIEvaluator from the JsonReader. + * + * @param jsonReader The JsonReader being read. + * @return An instance of GraderAzureAIEvaluator if the JsonReader was pointing to an instance of it, or null if it + * was pointing to JSON null. + * @throws IllegalStateException If the deserialized JSON object was missing any required properties. + * @throws IOException If an error occurs while reading the GraderAzureAIEvaluator. + */ + @Generated + public static GraderAzureAIEvaluator fromJson(JsonReader jsonReader) throws IOException { + return jsonReader.readObject(reader -> { + String name = null; + String evaluatorName = null; + String evaluatorVersion = null; + Map initializationParameters = null; + Map dataMapping = null; + while (reader.nextToken() != JsonToken.END_OBJECT) { + String fieldName = reader.getFieldName(); + reader.nextToken(); + if ("name".equals(fieldName)) { + name = reader.getString(); + } else if ("evaluator_name".equals(fieldName)) { + evaluatorName = reader.getString(); + } else if ("evaluator_version".equals(fieldName)) { + evaluatorVersion = reader.getString(); + } else if ("initialization_parameters".equals(fieldName)) { + initializationParameters = reader.readMap(reader1 -> reader1 + .getNullable(nonNullReader -> BinaryData.fromObject(nonNullReader.readUntyped()))); + } else if ("data_mapping".equals(fieldName)) { + dataMapping = reader.readMap(reader1 -> reader1.getString()); + } else { + reader.skipChildren(); + } + } + GraderAzureAIEvaluator deserializedGraderAzureAIEvaluator = new GraderAzureAIEvaluator(name, evaluatorName); + deserializedGraderAzureAIEvaluator.evaluatorVersion = evaluatorVersion; + deserializedGraderAzureAIEvaluator.initializationParameters = initializationParameters; + deserializedGraderAzureAIEvaluator.dataMapping = dataMapping; + return deserializedGraderAzureAIEvaluator; + }); + } + + /** + * Set the initializationParameters property: The initialization parameters for the evaluation. Must support + * structured outputs. + * + * @param initializationParameters the initializationParameters value to set. + * @return the GraderAzureAIEvaluator object itself. + */ + @Generated + public GraderAzureAIEvaluator setInitializationParameters(Map initializationParameters) { + this.initializationParameters = initializationParameters; + return this; + } +} diff --git a/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/models/TestingCriterionAzureAIEvaluator.java b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/models/TestingCriterionAzureAIEvaluator.java new file mode 100644 index 000000000000..6a82354d1e28 --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/main/java/com/azure/ai/projects/models/TestingCriterionAzureAIEvaluator.java @@ -0,0 +1,236 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +// Code generated by Microsoft (R) TypeSpec Code Generator. +package com.azure.ai.projects.models; + +import com.azure.core.annotation.Fluent; +import com.azure.core.annotation.Generated; +import com.azure.core.util.BinaryData; +import com.azure.json.JsonReader; +import com.azure.json.JsonSerializable; +import com.azure.json.JsonToken; +import com.azure.json.JsonWriter; +import java.io.IOException; +import java.util.Map; + +/** + * AzureAIEvaluatorGrader + * + * An Azure AI Evaluator grader used as testing criterion in evaluations. + */ +@Fluent +public final class TestingCriterionAzureAIEvaluator implements JsonSerializable { + + /* + * The object type, which is always `azure_ai_evaluator`. + */ + @Generated + private final String type = "azure_ai_evaluator"; + + /* + * The name of the grader. + */ + @Generated + private final String name; + + /* + * The name of the evaluator. + */ + @Generated + private final String evaluatorName; + + /* + * The version of the evaluator. Latest version if not specified. + */ + @Generated + private String evaluatorVersion; + + /* + * The initialization parameters for the evaluation. Must support structured outputs. + */ + @Generated + private Map initializationParameters; + + /* + * The model to use for the evaluation. Must support structured outputs. + */ + @Generated + private Map dataMapping; + + /** + * Creates an instance of TestingCriterionAzureAIEvaluator class. + * + * @param name the name value to set. + * @param evaluatorName the evaluatorName value to set. + */ + @Generated + public TestingCriterionAzureAIEvaluator(String name, String evaluatorName) { + this.name = name; + this.evaluatorName = evaluatorName; + } + + /** + * Get the type property: The object type, which is always `azure_ai_evaluator`. + * + * @return the type value. + */ + @Generated + public String getType() { + return this.type; + } + + /** + * Get the name property: The name of the grader. + * + * @return the name value. + */ + @Generated + public String getName() { + return this.name; + } + + /** + * Get the evaluatorName property: The name of the evaluator. + * + * @return the evaluatorName value. + */ + @Generated + public String getEvaluatorName() { + return this.evaluatorName; + } + + /** + * Get the evaluatorVersion property: The version of the evaluator. Latest version if not specified. + * + * @return the evaluatorVersion value. + */ + @Generated + public String getEvaluatorVersion() { + return this.evaluatorVersion; + } + + /** + * Set the evaluatorVersion property: The version of the evaluator. Latest version if not specified. + * + * @param evaluatorVersion the evaluatorVersion value to set. + * @return the TestingCriterionAzureAIEvaluator object itself. + */ + @Generated + public TestingCriterionAzureAIEvaluator setEvaluatorVersion(String evaluatorVersion) { + this.evaluatorVersion = evaluatorVersion; + return this; + } + + /** + * Get the initializationParameters property: The initialization parameters for the evaluation. Must support + * structured outputs. + * + * @return the initializationParameters value. + */ + @Generated + public Map getInitializationParameters() { + return this.initializationParameters; + } + + /** + * Get the dataMapping property: The model to use for the evaluation. Must support structured outputs. + * + * @return the dataMapping value. + */ + @Generated + public Map getDataMapping() { + return this.dataMapping; + } + + /** + * Set the dataMapping property: The model to use for the evaluation. Must support structured outputs. + * + * @param dataMapping the dataMapping value to set. + * @return the TestingCriterionAzureAIEvaluator object itself. + */ + @Generated + public TestingCriterionAzureAIEvaluator setDataMapping(Map dataMapping) { + this.dataMapping = dataMapping; + return this; + } + + /** + * {@inheritDoc} + */ + @Generated + @Override + public JsonWriter toJson(JsonWriter jsonWriter) throws IOException { + jsonWriter.writeStartObject(); + jsonWriter.writeStringField("type", this.type); + jsonWriter.writeStringField("name", this.name); + jsonWriter.writeStringField("evaluator_name", this.evaluatorName); + jsonWriter.writeStringField("evaluator_version", this.evaluatorVersion); + jsonWriter.writeMapField("initialization_parameters", this.initializationParameters, (writer, element) -> { + if (element == null) { + writer.writeNull(); + } else { + element.writeTo(writer); + } + }); + jsonWriter.writeMapField("data_mapping", this.dataMapping, (writer, element) -> writer.writeString(element)); + return jsonWriter.writeEndObject(); + } + + /** + * Reads an instance of TestingCriterionAzureAIEvaluator from the JsonReader. + * + * @param jsonReader The JsonReader being read. + * @return An instance of TestingCriterionAzureAIEvaluator if the JsonReader was pointing to an instance of it, or + * null if it was pointing to JSON null. + * @throws IllegalStateException If the deserialized JSON object was missing any required properties. + * @throws IOException If an error occurs while reading the TestingCriterionAzureAIEvaluator. + */ + @Generated + public static TestingCriterionAzureAIEvaluator fromJson(JsonReader jsonReader) throws IOException { + return jsonReader.readObject(reader -> { + String name = null; + String evaluatorName = null; + String evaluatorVersion = null; + Map initializationParameters = null; + Map dataMapping = null; + while (reader.nextToken() != JsonToken.END_OBJECT) { + String fieldName = reader.getFieldName(); + reader.nextToken(); + if ("name".equals(fieldName)) { + name = reader.getString(); + } else if ("evaluator_name".equals(fieldName)) { + evaluatorName = reader.getString(); + } else if ("evaluator_version".equals(fieldName)) { + evaluatorVersion = reader.getString(); + } else if ("initialization_parameters".equals(fieldName)) { + initializationParameters = reader.readMap(reader1 -> reader1 + .getNullable(nonNullReader -> BinaryData.fromObject(nonNullReader.readUntyped()))); + } else if ("data_mapping".equals(fieldName)) { + dataMapping = reader.readMap(reader1 -> reader1.getString()); + } else { + reader.skipChildren(); + } + } + TestingCriterionAzureAIEvaluator deserializedTestingCriterionAzureAIEvaluator + = new TestingCriterionAzureAIEvaluator(name, evaluatorName); + deserializedTestingCriterionAzureAIEvaluator.evaluatorVersion = evaluatorVersion; + deserializedTestingCriterionAzureAIEvaluator.initializationParameters = initializationParameters; + deserializedTestingCriterionAzureAIEvaluator.dataMapping = dataMapping; + return deserializedTestingCriterionAzureAIEvaluator; + }); + } + + /** + * Set the initializationParameters property: The initialization parameters for the evaluation. Must support + * structured outputs. + * + * @param initializationParameters the initializationParameters value to set. + * @return the TestingCriterionAzureAIEvaluator object itself. + */ + @Generated + public TestingCriterionAzureAIEvaluator + setInitializationParameters(Map initializationParameters) { + this.initializationParameters = initializationParameters; + return this; + } +} diff --git a/sdk/ai/azure-ai-projects/src/main/resources/META-INF/azure-ai-projects_metadata.json b/sdk/ai/azure-ai-projects/src/main/resources/META-INF/azure-ai-projects_metadata.json index cdf415e4cf03..1ed8affc7eeb 100644 --- a/sdk/ai/azure-ai-projects/src/main/resources/META-INF/azure-ai-projects_metadata.json +++ b/sdk/ai/azure-ai-projects/src/main/resources/META-INF/azure-ai-projects_metadata.json @@ -1 +1 @@ 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\ No newline at end of file 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/java/com/azure/ai/projects/models/FunctionShellToolParam.java","src/main/java/com/azure/ai/projects/models/FunctionShellToolParamEnvironment.java","src/main/java/com/azure/ai/projects/models/FunctionShellToolParamEnvironmentContainerReferenceParam.java","src/main/java/com/azure/ai/projects/models/FunctionShellToolParamEnvironmentLocalEnvironmentParam.java","src/main/java/com/azure/ai/projects/models/FunctionShellToolParamEnvironmentType.java","src/main/java/com/azure/ai/projects/models/FunctionTool.java","src/main/java/com/azure/ai/projects/models/GitHubIssueOpenedRoutineTrigger.java","src/main/java/com/azure/ai/projects/models/GrammarSyntax.java","src/main/java/com/azure/ai/projects/models/HourlyRecurrenceSchedule.java","src/main/java/com/azure/ai/projects/models/HumanEvaluationPreviewRuleAction.java","src/main/java/com/azure/ai/projects/models/HybridSearchOptions.java","src/main/java/com/azure/ai/projects/models/ImageGenActionEnum.java","src/main/java/com/azure/ai/projects/models/ImageGenTool.java","src/main/java/com/azure/ai/projects/models/ImageGenToolBackground.java","src/main/java/com/azure/ai/projects/models/ImageGenToolInputImageMask.java","src/main/java/com/azure/ai/projects/models/ImageGenToolModel.java","src/main/java/com/azure/ai/projects/models/ImageGenToolModeration.java","src/main/java/com/azure/ai/projects/models/ImageGenToolOutputFormat.java","src/main/java/com/azure/ai/projects/models/ImageGenToolQuality.java","src/main/java/com/azure/ai/projects/models/ImageGenToolSize.java","src/main/java/com/azure/ai/projects/models/IndexType.java","src/main/java/com/azure/ai/projects/models/InlineSkillParam.java","src/main/java/com/azure/ai/projects/models/InlineSkillSourceParam.java","src/main/java/com/azure/ai/projects/models/InputFidelity.java","src/main/java/com/azure/ai/projects/models/Insight.java","src/main/java/com/azure/ai/projects/models/InsightCluster.java","src/main/java/com/azure/ai/projects/models/InsightModelConfiguration.java","src/main/java/com/azure/ai/projects/models/InsightRequest.java","src/main/java/com/azure/ai/projects/models/InsightResult.java","src/main/java/com/azure/ai/projects/models/InsightSample.java","src/main/java/com/azure/ai/projects/models/InsightScheduleTask.java","src/main/java/com/azure/ai/projects/models/InsightSummary.java","src/main/java/com/azure/ai/projects/models/InsightType.java","src/main/java/com/azure/ai/projects/models/InsightsMetadata.java","src/main/java/com/azure/ai/projects/models/InvokeAgentInvocationsApiDispatchPayload.java","src/main/java/com/azure/ai/projects/models/InvokeAgentInvocationsApiRoutineAction.java","src/main/java/com/azure/ai/projects/models/InvokeAgentResponsesApiDispatchPayload.java","src/main/java/com/azure/ai/projects/models/InvokeAgentResponsesApiRoutineAction.java","src/main/java/com/azure/ai/projects/models/JobStatus.java","src/main/java/com/azure/ai/projects/models/ListVersionsRequestType.java","src/main/java/com/azure/ai/projects/models/LocalShellToolParam.java","src/main/java/com/azure/ai/projects/models/LocalSkillParam.java","src/main/java/com/azure/ai/projects/models/LoraConfig.java","src/main/java/com/azure/ai/projects/models/MCPTool.java","src/main/java/com/azure/ai/projects/models/MCPToolConnectorId.java","src/main/java/com/azure/ai/projects/models/MCPToolFilter.java","src/main/java/com/azure/ai/projects/models/MCPToolRequireApproval.java","src/main/java/com/azure/ai/projects/models/ManagedAzureAISearchIndex.java","src/main/java/com/azure/ai/projects/models/ModelCredentialRequest.java","src/main/java/com/azure/ai/projects/models/ModelDeployment.java","src/main/java/com/azure/ai/projects/models/ModelDeploymentSku.java","src/main/java/com/azure/ai/projects/models/ModelPendingUploadRequest.java","src/main/java/com/azure/ai/projects/models/ModelPendingUploadResponse.java","src/main/java/com/azure/ai/projects/models/ModelSamplingParams.java","src/main/java/com/azure/ai/projects/models/ModelSourceData.java","src/main/java/com/azure/ai/projects/models/ModelVersion.java","src/main/java/com/azure/ai/projects/models/MonthlyRecurrenceSchedule.java","src/main/java/com/azure/ai/projects/models/NoAuthenticationCredential.java","src/main/java/com/azure/ai/projects/models/OneTimeTrigger.java","src/main/java/com/azure/ai/projects/models/OperationStatus.java","src/main/java/com/azure/ai/projects/models/PendingUploadRequest.java","src/main/java/com/azure/ai/projects/models/PendingUploadResponse.java","src/main/java/com/azure/ai/projects/models/PendingUploadType.java","src/main/java/com/azure/ai/projects/models/PromptBasedEvaluatorDefinition.java","src/main/java/com/azure/ai/projects/models/PromptDataGenerationJobSource.java","src/main/java/com/azure/ai/projects/models/PromptEvaluatorGenerationJobSource.java","src/main/java/com/azure/ai/projects/models/RankerVersionType.java","src/main/java/com/azure/ai/projects/models/RankingOptions.java","src/main/java/com/azure/ai/projects/models/RecurrenceSchedule.java","src/main/java/com/azure/ai/projects/models/RecurrenceTrigger.java","src/main/java/com/azure/ai/projects/models/RecurrenceType.java","src/main/java/com/azure/ai/projects/models/RedTeam.java","src/main/java/com/azure/ai/projects/models/RiskCategory.java","src/main/java/com/azure/ai/projects/models/Routine.java","src/main/java/com/azure/ai/projects/models/RoutineAction.java","src/main/java/com/azure/ai/projects/models/RoutineActionType.java","src/main/java/com/azure/ai/projects/models/RoutineAttemptSource.java","src/main/java/com/azure/ai/projects/models/RoutineDispatchPayload.java","src/main/java/com/azure/ai/projects/models/RoutineDispatchPayloadType.java","src/main/java/com/azure/ai/projects/models/RoutineRun.java","src/main/java/com/azure/ai/projects/models/RoutineRunDiagnostics.java","src/main/java/com/azure/ai/projects/models/RoutineRunPhase.java","src/main/java/com/azure/ai/projects/models/RoutineTrigger.java","src/main/java/com/azure/ai/projects/models/RoutineTriggerType.java","src/main/java/com/azure/ai/projects/models/RubricBasedEvaluatorDefinition.java","src/main/java/com/azure/ai/projects/models/SampleType.java","src/main/java/com/azure/ai/projects/models/SasCredential.java","src/main/java/com/azure/ai/projects/models/Schedule.java","src/main/java/com/azure/ai/projects/models/ScheduleProvisioningStatus.java","src/main/java/com/azure/ai/projects/models/ScheduleRoutineTrigger.java","src/main/java/com/azure/ai/projects/models/ScheduleRun.java","src/main/java/com/azure/ai/projects/models/ScheduleTask.java","src/main/java/com/azure/ai/projects/models/ScheduleTaskType.java","src/main/java/com/azure/ai/projects/models/SearchContextSize.java","src/main/java/com/azure/ai/projects/models/SimpleQnADataGenerationJobOptions.java","src/main/java/com/azure/ai/projects/models/SimpleQnAFineTuningQuestionType.java","src/main/java/com/azure/ai/projects/models/Skill.java","src/main/java/com/azure/ai/projects/models/SkillInlineContent.java","src/main/java/com/azure/ai/projects/models/SkillReferenceParam.java","src/main/java/com/azure/ai/projects/models/SkillVersion.java","src/main/java/com/azure/ai/projects/models/SystemDataV3.java","src/main/java/com/azure/ai/projects/models/Target.java","src/main/java/com/azure/ai/projects/models/TargetConfig.java","src/main/java/com/azure/ai/projects/models/TaxonomyCategory.java","src/main/java/com/azure/ai/projects/models/TaxonomySubCategory.java","src/main/java/com/azure/ai/projects/models/TimerRoutineTrigger.java","src/main/java/com/azure/ai/projects/models/Tool.java","src/main/java/com/azure/ai/projects/models/ToolDescription.java","src/main/java/com/azure/ai/projects/models/ToolType.java","src/main/java/com/azure/ai/projects/models/ToolUseFineTuningDataGenerationJobOptions.java","src/main/java/com/azure/ai/projects/models/TracesDataGenerationJobOptions.java","src/main/java/com/azure/ai/projects/models/TracesDataGenerationJobSource.java","src/main/java/com/azure/ai/projects/models/TracesEvaluatorGenerationJobSource.java","src/main/java/com/azure/ai/projects/models/TreatmentEffectType.java","src/main/java/com/azure/ai/projects/models/Trigger.java","src/main/java/com/azure/ai/projects/models/TriggerType.java","src/main/java/com/azure/ai/projects/models/UpdateModelVersionRequest.java","src/main/java/com/azure/ai/projects/models/WebSearchApproximateLocation.java","src/main/java/com/azure/ai/projects/models/WebSearchPreviewTool.java","src/main/java/com/azure/ai/projects/models/WebSearchTool.java","src/main/java/com/azure/ai/projects/models/WebSearchToolFilters.java","src/main/java/com/azure/ai/projects/models/WebSearchToolSearchContextSize.java","src/main/java/com/azure/ai/projects/models/WeeklyRecurrenceSchedule.java","src/main/java/com/azure/ai/projects/models/package-info.java","src/main/java/com/azure/ai/projects/package-info.java","src/main/java/module-info.java"]} diff --git a/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/DataGenerationJobWithEvaluationSample.java b/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/DataGenerationJobWithEvaluationSample.java new file mode 100644 index 000000000000..4cf74629b77d --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/DataGenerationJobWithEvaluationSample.java @@ -0,0 +1,297 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +package com.azure.ai.projects; + +import com.azure.ai.projects.models.ApiError; +import com.azure.ai.projects.models.DataGenerationJob; +import com.azure.ai.projects.models.DataGenerationJobInputs; +import com.azure.ai.projects.models.DataGenerationJobOutput; +import com.azure.ai.projects.models.DataGenerationJobOutputOptions; +import com.azure.ai.projects.models.DataGenerationJobScenario; +import com.azure.ai.projects.models.DataGenerationModelOptions; +import com.azure.ai.projects.models.DatasetDataGenerationJobOutput; +import com.azure.ai.projects.models.DatasetVersion; +import com.azure.ai.projects.models.FoundryFeaturesOptInKeys; +import com.azure.ai.projects.models.JobStatus; +import com.azure.ai.projects.models.PromptDataGenerationJobSource; +import com.azure.ai.projects.models.SimpleQnADataGenerationJobOptions; +import com.azure.ai.projects.models.TestingCriterionAzureAIEvaluator; +import com.azure.core.util.Configuration; +import com.azure.core.util.BinaryData; +import com.azure.identity.DefaultAzureCredentialBuilder; +import com.openai.client.OpenAIClient; +import com.openai.core.JsonValue; +import com.openai.models.evals.EvalCreateParams; +import com.openai.models.evals.EvalCreateParams.DataSourceConfig.Custom; +import com.openai.models.evals.EvalCreateParams.DataSourceConfig.Custom.ItemSchema; +import com.openai.models.evals.EvalCreateResponse; +import com.openai.models.evals.EvalDeleteParams; +import com.openai.models.evals.runs.CreateEvalCompletionsRunDataSource; +import com.openai.models.evals.runs.RunCreateParams; +import com.openai.models.evals.runs.RunCreateResponse; +import com.openai.models.evals.runs.RunRetrieveParams; +import com.openai.models.evals.runs.RunRetrieveResponse; +import com.openai.models.evals.runs.outputitems.OutputItemListParams; +import com.openai.models.evals.runs.outputitems.OutputItemListResponse; +import com.openai.models.responses.EasyInputMessage; + +import java.util.Arrays; +import java.util.Collections; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.UUID; + +/** + * End-to-end sample combining data generation with an OpenAI evaluation run. + * + *

    The sample creates a Simple QnA data generation job from an inline prompt, waits for the generated dataset, + * creates an OpenAI evaluation using Azure AI built-in evaluators, runs the evaluation against the dataset, and cleans + * up the evaluation and data generation job.

    + * + *

    Before running the sample, set these environment variables:

    + *
      + *
    • {@code FOUNDRY_PROJECT_ENDPOINT} - the Azure AI Foundry project endpoint.
      • + *
    • {@code FOUNDRY_MODEL_NAME} - the model deployment name used for generation and judging.
      • + *
    • {@code DATASET_NAME} - optional, the generated dataset name.
      • + *
    • {@code POLL_INTERVAL_SECONDS} - optional, seconds to wait between polling attempts.
      • + *
    + */ +public class DataGenerationJobWithEvaluationSample { + private static final FoundryFeaturesOptInKeys DATA_GENERATION_PREVIEW + = FoundryFeaturesOptInKeys.DATA_GENERATION_JOBS_V1_PREVIEW; + private static final String DEFAULT_DATASET_NAME = "dataset-generation-eval-sample"; + private static final int DEFAULT_POLL_INTERVAL_SECONDS = 10; + + public static void main(String[] args) throws InterruptedException { + String endpoint = Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT"); + String modelName = Configuration.getGlobalConfiguration().get("FOUNDRY_MODEL_NAME"); + String datasetName = Configuration.getGlobalConfiguration().get("DATASET_NAME", DEFAULT_DATASET_NAME); + int pollIntervalSeconds = Integer.parseInt(Configuration.getGlobalConfiguration() + .get("POLL_INTERVAL_SECONDS", String.valueOf(DEFAULT_POLL_INTERVAL_SECONDS))); + + AIProjectClientBuilder projectClientBuilder = new AIProjectClientBuilder() + .endpoint(endpoint) + .credential(new DefaultAzureCredentialBuilder().build()); + + DataGenerationJobsClient dataGenerationJobsClient = projectClientBuilder.buildDataGenerationJobsClient(); + DatasetsClient datasetsClient = projectClientBuilder.buildDatasetsClient(); + OpenAIClient openAIClient = projectClientBuilder.buildOpenAIClient(); + + DataGenerationJob job = null; + EvalCreateResponse eval = null; + + try { + System.out.println("Create a data generation job."); + job = dataGenerationJobsClient.createGenerationJob(createDataGenerationJob(modelName, datasetName), + DATA_GENERATION_PREVIEW, UUID.randomUUID().toString()); + System.out.printf("Created data generation job `%s` (status: `%s`).%n", job.getId(), job.getStatus()); + + job = waitForDataGenerationJob(dataGenerationJobsClient, job.getId(), pollIntervalSeconds); + System.out.printf("Final job status: `%s`.%n", job.getStatus()); + + if (!JobStatus.SUCCEEDED.equals(job.getStatus())) { + ApiError error = job.getError(); + String message = error == null ? "" : error.getMessage(); + throw new IllegalStateException(String.format("Job `%s` ended with status `%s`: %s", + job.getId(), job.getStatus(), message)); + } + + DatasetDataGenerationJobOutput output = findDatasetOutput(job); + DatasetVersion dataset = datasetsClient.getDatasetVersion(output.getName(), output.getVersion()); + System.out.printf("Generated dataset: name=`%s` version=`%s` id=`%s`%n", + dataset.getName(), dataset.getVersion(), dataset.getId()); + + System.out.println("Create the evaluation."); + eval = openAIClient.evals().create(createEvaluationParams(modelName)); + System.out.printf("Evaluation created (id: %s).%n", eval.id()); + + System.out.printf("Create an evaluation run that consumes dataset `%s`.%n", dataset.getId()); + RunCreateResponse evalRun = openAIClient.evals().runs().create(createEvaluationRunParams(eval.id(), + dataset.getId(), modelName)); + System.out.printf("Evaluation run created (id: %s).%n", evalRun.id()); + + RunRetrieveResponse completedRun = waitForEvaluationRun(openAIClient, eval.id(), evalRun.id(), + pollIntervalSeconds); + System.out.printf("Final eval run status: `%s`.%n", completedRun.status()); + + if ("completed".equals(completedRun.status())) { + System.out.printf("Result counts: %s%n", completedRun.resultCounts()); + System.out.printf("Eval run report URL: %s%n", completedRun.reportUrl()); + printOutputItems(openAIClient, eval.id(), evalRun.id()); + } else { + System.out.println("Evaluation run did not complete successfully."); + } + } finally { + if (eval != null) { + System.out.printf("Delete evaluation `%s`.%n", eval.id()); + openAIClient.evals().delete(EvalDeleteParams.builder().evalId(eval.id()).build()); + } + if (job != null) { + System.out.printf("Delete the data generation job `%s`.%n", job.getId()); + dataGenerationJobsClient.deleteGenerationJob(job.getId(), DATA_GENERATION_PREVIEW); + } + } + } + + static DataGenerationJob createDataGenerationJob(String modelName, String datasetName) { + PromptDataGenerationJobSource source = new PromptDataGenerationJobSource( + "Contoso offers a full refund within 30 days of purchase for any product returned in its original " + + "condition. After 30 days, store credit may be issued at the discretion of customer support. " + + "Digital goods are non-refundable once downloaded.") + .setDescription("Contoso refund policy"); + + SimpleQnADataGenerationJobOptions options = new SimpleQnADataGenerationJobOptions(15) + .setModelOptions(new DataGenerationModelOptions(modelName)); + + DataGenerationJobOutputOptions outputOptions = new DataGenerationJobOutputOptions() + .setName(datasetName) + .setDescription("QnA pairs generated from the Contoso refund policy prompt.") + .setTags(Collections.singletonMap("sample", "dataset-generation-with-evaluation")); + + DataGenerationJobInputs inputs = new DataGenerationJobInputs("qna-from-policy-prompt", + Collections.singletonList(source), options, DataGenerationJobScenario.EVALUATION) + .setOutputOptions(outputOptions); + + return new DataGenerationJob().setInputs(inputs); + } + + private static DataGenerationJob waitForDataGenerationJob(DataGenerationJobsClient dataGenerationJobsClient, + String jobId, int pollIntervalSeconds) throws InterruptedException { + System.out.printf("Poll job `%s` until it reaches a terminal state.", jobId); + DataGenerationJob job; + do { + Thread.sleep(pollIntervalSeconds * 1000L); + System.out.print("."); + job = dataGenerationJobsClient.getGenerationJob(jobId, DATA_GENERATION_PREVIEW); + } while (!isTerminalStatus(job.getStatus())); + System.out.println(); + return job; + } + + static boolean isTerminalStatus(JobStatus status) { + return JobStatus.SUCCEEDED.equals(status) + || JobStatus.FAILED.equals(status) + || JobStatus.CANCELLED.equals(status); + } + + static DatasetDataGenerationJobOutput findDatasetOutput(DataGenerationJob job) { + if (job.getResult() != null && job.getResult().getOutputs() != null) { + for (DataGenerationJobOutput output : job.getResult().getOutputs()) { + if (output instanceof DatasetDataGenerationJobOutput) { + DatasetDataGenerationJobOutput datasetOutput = (DatasetDataGenerationJobOutput) output; + if (datasetOutput.getName() != null && datasetOutput.getVersion() != null) { + return datasetOutput; + } + } + } + } + + throw new IllegalStateException(String.format("Job `%s` did not produce a dataset output.", job.getId())); + } + + static EvalCreateParams createEvaluationParams(String modelName) { + Map queryProperty = new LinkedHashMap<>(); + queryProperty.put("type", "string"); + + Map groundTruthProperty = new LinkedHashMap<>(); + groundTruthProperty.put("type", "string"); + + Map properties = new LinkedHashMap<>(); + properties.put("query", queryProperty); + properties.put("ground_truth", groundTruthProperty); + + ItemSchema itemSchema = ItemSchema.builder() + .putAdditionalProperty("type", JsonValue.from("object")) + .putAdditionalProperty("properties", JsonValue.from(properties)) + .putAdditionalProperty("required", JsonValue.from(Collections.singletonList("query"))) + .build(); + + Custom dataSourceConfig = Custom.builder() + .itemSchema(itemSchema) + .includeSampleSchema(true) + .build(); + + return EvalCreateParams.builder() + .name("generated-qna-evaluation") + .dataSourceConfig(dataSourceConfig) + .testingCriteria(createAzureAIEvaluatorCriteria(modelName)) + .build(); + } + + private static List createAzureAIEvaluatorCriteria(String modelName) { + Map dataMapping = new LinkedHashMap<>(); + dataMapping.put("query", "{{item.query}}"); + dataMapping.put("response", "{{sample.output_text}}"); + return Arrays.asList( + createAzureAIEvaluator("coherence", "builtin.coherence", modelName, + dataMapping), + createAzureAIEvaluator("fluency", "builtin.fluency", modelName, + Collections.singletonMap("response", "{{sample.output_text}}"))); + } + + private static EvalCreateParams.TestingCriterion createAzureAIEvaluator(String name, String evaluatorName, + String modelName, Map dataMapping) { + TestingCriterionAzureAIEvaluator evaluator = new TestingCriterionAzureAIEvaluator(name, evaluatorName) + .setInitializationParameters(Collections.singletonMap("deployment_name", BinaryData.fromObject(modelName))) + .setDataMapping(dataMapping); + + return EvaluationsHelper.toTestingCriterion(evaluator); + } + + static RunCreateParams createEvaluationRunParams(String evalId, String datasetId, String modelName) { + CreateEvalCompletionsRunDataSource.InputMessages.Template inputMessages + = CreateEvalCompletionsRunDataSource.InputMessages.Template.builder() + .addTemplate(EasyInputMessage.builder() + .role(EasyInputMessage.Role.DEVELOPER) + .content("You are a Contoso customer-support assistant. Answer the user's question about the " + + "Contoso refund policy clearly and concisely.") + .build()) + .addTemplate(EasyInputMessage.builder() + .role(EasyInputMessage.Role.USER) + .content("{{item.query}}") + .build()) + .build(); + + CreateEvalCompletionsRunDataSource dataSource = CreateEvalCompletionsRunDataSource.builder() + .fileIdSource(datasetId) + .type(CreateEvalCompletionsRunDataSource.Type.COMPLETIONS) + .inputMessages(inputMessages) + .model(modelName) + .build(); + + return RunCreateParams.builder() + .evalId(evalId) + .name("generated-qna-evaluation-run") + .dataSource(dataSource) + .build(); + } + + private static RunRetrieveResponse waitForEvaluationRun(OpenAIClient openAIClient, String evalId, String runId, + int pollIntervalSeconds) throws InterruptedException { + RunRetrieveResponse evalRun = openAIClient.evals().runs().retrieve(RunRetrieveParams.builder() + .evalId(evalId) + .runId(runId) + .build()); + while (!"completed".equals(evalRun.status()) && !"failed".equals(evalRun.status())) { + Thread.sleep(pollIntervalSeconds * 1000L); + evalRun = openAIClient.evals().runs().retrieve(RunRetrieveParams.builder() + .evalId(evalId) + .runId(runId) + .build()); + } + return evalRun; + } + + private static void printOutputItems(OpenAIClient openAIClient, String evalId, String runId) { + int count = 0; + for (OutputItemListResponse item : openAIClient.evals().runs().outputItems().list(OutputItemListParams.builder() + .evalId(evalId) + .runId(runId) + .build()).autoPager()) { + count++; + System.out.printf(" item %d: status=%s | %s%n", count, item.status(), item.results()); + } + System.out.printf("Output items (total: %d).%n", count); + } +} diff --git a/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/ReadmeSamples.java b/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/ReadmeSamples.java index 364567005b2b..3282d8aa73b3 100644 --- a/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/ReadmeSamples.java +++ b/sdk/ai/azure-ai-projects/src/samples/java/com/azure/ai/projects/ReadmeSamples.java @@ -8,11 +8,18 @@ import com.azure.ai.agents.AgentsClientBuilder; import com.azure.ai.agents.MemoryStoresClient; import com.azure.ai.agents.ResponsesClient; +import com.azure.ai.projects.models.TestingCriterionAzureAIEvaluator; +import com.azure.core.util.BinaryData; import com.openai.client.OpenAIClient; import com.openai.client.OpenAIClientAsync; +import com.openai.models.evals.EvalCreateParams; import com.openai.services.async.EvalServiceAsync; import com.openai.services.blocking.EvalService; +import java.util.Collections; +import java.util.LinkedHashMap; +import java.util.Map; + public final class ReadmeSamples { public void readmeSamples() { // BEGIN: com.azure.ai.projects.readme @@ -39,6 +46,21 @@ public void readmeSamples() { EvalServiceAsync evalAsyncService = builder.buildOpenAIAsyncClient().evals(); // END: com.azure.ai.projects.evalsServices + // BEGIN: com.azure.ai.projects.evaluationsHelper + Map dataMapping = new LinkedHashMap<>(); + dataMapping.put("query", "{{item.query}}"); + dataMapping.put("response", "{{sample.output_text}}"); + + TestingCriterionAzureAIEvaluator coherenceEvaluator = new TestingCriterionAzureAIEvaluator("coherence", + "builtin.coherence") + .setInitializationParameters(Collections.singletonMap("deployment_name", + BinaryData.fromObject("gpt-4o-mini"))) + .setDataMapping(dataMapping); + + EvalCreateParams.TestingCriterion testingCriterion + = EvaluationsHelper.toTestingCriterion(coherenceEvaluator); + // END: com.azure.ai.projects.evaluationsHelper + // BEGIN: com.azure.ai.projects.openAIClient OpenAIClient openAIClient = builder.buildOpenAIClient(); OpenAIClientAsync openAIClientAsync = builder.buildOpenAIAsyncClient(); diff --git a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/ClientTestBase.java b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/ClientTestBase.java index e8f526ddc5a6..551b40ea0028 100644 --- a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/ClientTestBase.java +++ b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/ClientTestBase.java @@ -55,10 +55,10 @@ protected AIProjectClientBuilder getClientBuilder(HttpClient httpClient, builder.endpoint("https://localhost:8080").credential(new MockTokenCredential()); } else if (testMode == TestMode.RECORD) { builder.addPolicy(interceptorManager.getRecordPolicy()) - .endpoint(Configuration.getGlobalConfiguration().get("AI_PROJECTS_ENDPOINT")) + .endpoint(Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT")) .credential(new DefaultAzureCredentialBuilder().build()); } else { - builder.endpoint(Configuration.getGlobalConfiguration().get("AI_PROJECTS_ENDPOINT")) + builder.endpoint(Configuration.getGlobalConfiguration().get("FOUNDRY_PROJECT_ENDPOINT")) .credential(new DefaultAzureCredentialBuilder().build()); } diff --git a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/DataGenerationJobsAsyncClientTests.java b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/DataGenerationJobsAsyncClientTests.java new file mode 100644 index 000000000000..3d521682d1d0 --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/DataGenerationJobsAsyncClientTests.java @@ -0,0 +1,193 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +package com.azure.ai.projects; + +import com.azure.ai.agents.models.PageOrder; +import com.azure.ai.projects.models.ApiError; +import com.azure.ai.projects.models.DataGenerationJob; +import com.azure.ai.projects.models.DatasetDataGenerationJobOutput; +import com.azure.ai.projects.models.DatasetVersion; +import com.azure.ai.projects.models.FoundryFeaturesOptInKeys; +import com.azure.ai.projects.models.JobStatus; +import com.azure.core.http.HttpClient; +import com.azure.core.test.TestMode; +import com.azure.core.test.annotation.LiveOnly; +import com.azure.core.util.Configuration; +import com.openai.client.OpenAIClientAsync; +import com.openai.models.evals.EvalCreateResponse; +import com.openai.models.evals.EvalDeleteParams; +import com.openai.models.evals.runs.RunCreateResponse; +import com.openai.models.evals.runs.RunRetrieveParams; +import com.openai.models.evals.runs.RunRetrieveResponse; +import com.openai.models.evals.runs.outputitems.OutputItemListParams; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Timeout; +import org.junit.jupiter.params.ParameterizedTest; +import org.junit.jupiter.params.provider.MethodSource; +import reactor.core.publisher.Flux; +import reactor.core.publisher.Mono; +import reactor.test.StepVerifier; + +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; +import java.util.function.Supplier; + +import static com.azure.ai.projects.TestUtils.DISPLAY_NAME_WITH_ARGUMENTS; + +public class DataGenerationJobsAsyncClientTests extends ClientTestBase { + private static final FoundryFeaturesOptInKeys DATA_GENERATION_PREVIEW + = FoundryFeaturesOptInKeys.DATA_GENERATION_JOBS_V1_PREVIEW; + + @LiveOnly + @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) + @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters") + public void dataGenerationJobsListAsyncSample(HttpClient httpClient, AIProjectsServiceVersion serviceVersion) { + DataGenerationJobsAsyncClient dataGenerationJobsAsyncClient + = getClientBuilder(httpClient, serviceVersion).buildDataGenerationJobsAsyncClient(); + + StepVerifier.create( + dataGenerationJobsAsyncClient.listGenerationJobs(DATA_GENERATION_PREVIEW, 5, PageOrder.DESC, null, null) + .take(5) + .doOnNext(job -> { + Assertions.assertNotNull(job); + Assertions.assertNotNull(job.getId()); + }) + .then()) + .verifyComplete(); + } + + @Timeout(value = 20, unit = TimeUnit.MINUTES) + @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) + @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters") + public void dataGenerationJobWithEvaluationAsyncSample(HttpClient httpClient, + AIProjectsServiceVersion serviceVersion) { + AIProjectClientBuilder projectClientBuilder = getClientBuilder(httpClient, serviceVersion); + DataGenerationJobsAsyncClient dataGenerationJobsAsyncClient + = projectClientBuilder.buildDataGenerationJobsAsyncClient(); + DatasetsAsyncClient datasetsAsyncClient = projectClientBuilder.buildDatasetsAsyncClient(); + OpenAIClientAsync openAIAsyncClient = projectClientBuilder.buildOpenAIAsyncClient(); + + String modelName = getRecordedConfig("FOUNDRY_MODEL_NAME"); + String datasetName = testResourceNamer.randomName("dataset-generation-eval-", 64); + + Mono scenario = dataGenerationJobsAsyncClient + .createGenerationJob(DataGenerationJobWithEvaluationSample.createDataGenerationJob(modelName, datasetName), + DATA_GENERATION_PREVIEW, testResourceNamer.randomUuid()) + .flatMap(job -> waitForDataGenerationJob(dataGenerationJobsAsyncClient, job.getId(), 5, 180) + .flatMap(completedJob -> { + if (!JobStatus.SUCCEEDED.equals(completedJob.getStatus())) { + ApiError error = completedJob.getError(); + String message = error == null ? "" : error.getMessage(); + return Mono.error(new AssertionError(String.format("Job `%s` ended with status `%s`: %s", + completedJob.getId(), completedJob.getStatus(), message))); + } + + DatasetDataGenerationJobOutput output + = DataGenerationJobWithEvaluationSample.findDatasetOutput(completedJob); + return datasetsAsyncClient.getDatasetVersion(output.getName(), output.getVersion()) + .flatMap(dataset -> runEvaluation(openAIAsyncClient, dataset, modelName)) + .then(dataGenerationJobsAsyncClient.deleteGenerationJob(completedJob.getId(), + DATA_GENERATION_PREVIEW)); + })); + + StepVerifier.create(scenario).verifyComplete(); + } + + private Mono runEvaluation(OpenAIClientAsync openAIAsyncClient, DatasetVersion dataset, String modelName) { + Assertions.assertNotNull(dataset); + Assertions.assertNotNull(dataset.getId()); + + return deferFuture(() -> openAIAsyncClient.evals() + .create(DataGenerationJobWithEvaluationSample.createEvaluationParams(modelName))).flatMap(eval -> { + Assertions.assertNotNull(eval); + + Mono createRun = deferFuture(() -> openAIAsyncClient.evals() + .runs() + .create(DataGenerationJobWithEvaluationSample.createEvaluationRunParams(eval.id(), dataset.getId(), + modelName))); + + return createRun.flatMap(evalRun -> assertEvaluationRunCompleted(openAIAsyncClient, eval, evalRun)) + .then(deferFuture( + () -> openAIAsyncClient.evals().delete(EvalDeleteParams.builder().evalId(eval.id()).build()))) + .then(); + }); + } + + private Mono assertEvaluationRunCompleted(OpenAIClientAsync openAIAsyncClient, EvalCreateResponse eval, + RunCreateResponse evalRun) { + Assertions.assertNotNull(evalRun); + + return waitForEvaluationRun(openAIAsyncClient, eval.id(), evalRun.id(), 5, 180).flatMap(completedRun -> { + Assertions.assertEquals("completed", completedRun.status()); + Assertions.assertNotNull(completedRun.resultCounts()); + + OutputItemListParams outputItemsParams + = OutputItemListParams.builder().evalId(eval.id()).runId(evalRun.id()).build(); + return deferFuture(() -> openAIAsyncClient.evals().runs().outputItems().list(outputItemsParams)) + .flatMapMany(page -> Flux.fromIterable(page.items())) + .count() + .doOnNext(outputItemCount -> Assertions.assertTrue(outputItemCount > 0)) + .then(); + }); + } + + private Mono waitForDataGenerationJob( + DataGenerationJobsAsyncClient dataGenerationJobsAsyncClient, String jobId, int pollIntervalSeconds, + int maxAttempts) { + return pollDataGenerationJob(dataGenerationJobsAsyncClient, jobId, pollIntervalSeconds, maxAttempts, 0); + } + + private Mono pollDataGenerationJob(DataGenerationJobsAsyncClient dataGenerationJobsAsyncClient, + String jobId, int pollIntervalSeconds, int maxAttempts, int attempts) { + return sleepBeforePolling(pollIntervalSeconds, attempts) + .then(dataGenerationJobsAsyncClient.getGenerationJob(jobId, DATA_GENERATION_PREVIEW)) + .flatMap(job -> DataGenerationJobWithEvaluationSample.isTerminalStatus(job.getStatus()) + || attempts >= maxAttempts + ? Mono.just(job) + : pollDataGenerationJob(dataGenerationJobsAsyncClient, jobId, pollIntervalSeconds, maxAttempts, + attempts + 1)); + } + + private Mono waitForEvaluationRun(OpenAIClientAsync openAIAsyncClient, String evalId, + String runId, int pollIntervalSeconds, int maxAttempts) { + return pollEvaluationRun(openAIAsyncClient, evalId, runId, pollIntervalSeconds, maxAttempts, 0); + } + + private Mono pollEvaluationRun(OpenAIClientAsync openAIAsyncClient, String evalId, + String runId, int pollIntervalSeconds, int maxAttempts, int attempts) { + return sleepBeforePolling(pollIntervalSeconds, attempts) + .then(deferFuture(() -> openAIAsyncClient.evals() + .runs() + .retrieve(RunRetrieveParams.builder().evalId(evalId).runId(runId).build()))) + .flatMap(evalRun -> "completed".equals(evalRun.status()) + || "failed".equals(evalRun.status()) + || attempts >= maxAttempts + ? Mono.just(evalRun) + : pollEvaluationRun(openAIAsyncClient, evalId, runId, pollIntervalSeconds, maxAttempts, + attempts + 1)); + } + + private Mono sleepBeforePolling(int pollIntervalSeconds, int attempts) { + if (attempts == 0) { + return Mono.empty(); + } + + return Mono.fromRunnable(() -> sleepIfRunningAgainstService(pollIntervalSeconds * 1000L)); + } + + private Mono deferFuture(Supplier> futureSupplier) { + return Mono.defer(() -> Mono.fromFuture(futureSupplier.get())); + } + + private String getRecordedConfig(String name) { + if (getTestMode() == TestMode.PLAYBACK) { + return testResourceNamer.recordValueFromConfig(name); + } + + String value = Configuration.getGlobalConfiguration().get(name); + if (getTestMode() == TestMode.RECORD) { + testResourceNamer.recordValueFromConfig(name); + } + return value; + } +} diff --git a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/DataGenerationJobsClientTests.java b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/DataGenerationJobsClientTests.java new file mode 100644 index 000000000000..22d76ef979c6 --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/DataGenerationJobsClientTests.java @@ -0,0 +1,154 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. +package com.azure.ai.projects; + +import com.azure.ai.agents.models.PageOrder; +import com.azure.ai.projects.models.ApiError; +import com.azure.ai.projects.models.DataGenerationJob; +import com.azure.ai.projects.models.DatasetDataGenerationJobOutput; +import com.azure.ai.projects.models.DatasetVersion; +import com.azure.ai.projects.models.FoundryFeaturesOptInKeys; +import com.azure.ai.projects.models.JobStatus; +import com.azure.core.http.HttpClient; +import com.azure.core.test.TestMode; +import com.azure.core.test.annotation.LiveOnly; +import com.azure.core.util.Configuration; +import com.openai.client.OpenAIClient; +import com.openai.models.evals.EvalCreateResponse; +import com.openai.models.evals.EvalDeleteParams; +import com.openai.models.evals.runs.RunCreateResponse; +import com.openai.models.evals.runs.RunRetrieveParams; +import com.openai.models.evals.runs.RunRetrieveResponse; +import com.openai.models.evals.runs.outputitems.OutputItemListParams; +import com.openai.models.evals.runs.outputitems.OutputItemListResponse; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Timeout; +import org.junit.jupiter.params.ParameterizedTest; +import org.junit.jupiter.params.provider.MethodSource; + +import java.util.concurrent.TimeUnit; + +import static com.azure.ai.projects.TestUtils.DISPLAY_NAME_WITH_ARGUMENTS; + +public class DataGenerationJobsClientTests extends ClientTestBase { + private static final FoundryFeaturesOptInKeys DATA_GENERATION_PREVIEW + = FoundryFeaturesOptInKeys.DATA_GENERATION_JOBS_V1_PREVIEW; + + @LiveOnly + @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) + @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters") + public void dataGenerationJobsListSample(HttpClient httpClient, AIProjectsServiceVersion serviceVersion) { + DataGenerationJobsClient dataGenerationJobsClient + = getClientBuilder(httpClient, serviceVersion).buildDataGenerationJobsClient(); + + Iterable jobs + = dataGenerationJobsClient.listGenerationJobs(DATA_GENERATION_PREVIEW, 5, PageOrder.DESC, null, null); + Assertions.assertNotNull(jobs); + + int count = 0; + for (DataGenerationJob job : jobs) { + Assertions.assertNotNull(job); + Assertions.assertNotNull(job.getId()); + count++; + if (count >= 5) { + break; + } + } + } + + @Timeout(value = 20, unit = TimeUnit.MINUTES) + @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) + @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters") + public void dataGenerationJobWithEvaluationSample(HttpClient httpClient, AIProjectsServiceVersion serviceVersion) + throws InterruptedException { + AIProjectClientBuilder projectClientBuilder = getClientBuilder(httpClient, serviceVersion); + DataGenerationJobsClient dataGenerationJobsClient = projectClientBuilder.buildDataGenerationJobsClient(); + DatasetsClient datasetsClient = projectClientBuilder.buildDatasetsClient(); + OpenAIClient openAIClient = projectClientBuilder.buildOpenAIClient(); + + String modelName = getRecordedConfig("FOUNDRY_MODEL_NAME"); + String datasetName = testResourceNamer.randomName("dataset-generation-eval-", 64); + + DataGenerationJob job = dataGenerationJobsClient.createGenerationJob( + DataGenerationJobWithEvaluationSample.createDataGenerationJob(modelName, datasetName), + DATA_GENERATION_PREVIEW, testResourceNamer.randomUuid()); + + job = waitForDataGenerationJob(dataGenerationJobsClient, job.getId(), 5, 180); + if (!JobStatus.SUCCEEDED.equals(job.getStatus())) { + ApiError error = job.getError(); + String message = error == null ? "" : error.getMessage(); + Assertions + .fail(String.format("Job `%s` ended with status `%s`: %s", job.getId(), job.getStatus(), message)); + } + + DatasetDataGenerationJobOutput output = DataGenerationJobWithEvaluationSample.findDatasetOutput(job); + DatasetVersion dataset = datasetsClient.getDatasetVersion(output.getName(), output.getVersion()); + Assertions.assertNotNull(dataset); + Assertions.assertNotNull(dataset.getId()); + + EvalCreateResponse eval + = openAIClient.evals().create(DataGenerationJobWithEvaluationSample.createEvaluationParams(modelName)); + Assertions.assertNotNull(eval); + + RunCreateResponse evalRun = openAIClient.evals() + .runs() + .create( + DataGenerationJobWithEvaluationSample.createEvaluationRunParams(eval.id(), dataset.getId(), modelName)); + Assertions.assertNotNull(evalRun); + + RunRetrieveResponse completedRun = waitForEvaluationRun(openAIClient, eval.id(), evalRun.id(), 5, 180); + Assertions.assertEquals("completed", completedRun.status()); + Assertions.assertNotNull(completedRun.resultCounts()); + + int outputItemCount = 0; + for (OutputItemListResponse ignored : openAIClient.evals() + .runs() + .outputItems() + .list(OutputItemListParams.builder().evalId(eval.id()).runId(evalRun.id()).build()) + .autoPager()) { + outputItemCount++; + } + Assertions.assertTrue(outputItemCount > 0); + + openAIClient.evals().delete(EvalDeleteParams.builder().evalId(eval.id()).build()); + dataGenerationJobsClient.deleteGenerationJob(job.getId(), DATA_GENERATION_PREVIEW); + } + + private DataGenerationJob waitForDataGenerationJob(DataGenerationJobsClient dataGenerationJobsClient, String jobId, + int pollIntervalSeconds, int maxAttempts) throws InterruptedException { + DataGenerationJob job; + int attempts = 0; + do { + sleepIfRunningAgainstService(pollIntervalSeconds * 1000L); + job = dataGenerationJobsClient.getGenerationJob(jobId, DATA_GENERATION_PREVIEW); + attempts++; + } while (!DataGenerationJobWithEvaluationSample.isTerminalStatus(job.getStatus()) && attempts < maxAttempts); + return job; + } + + private RunRetrieveResponse waitForEvaluationRun(OpenAIClient openAIClient, String evalId, String runId, + int pollIntervalSeconds, int maxAttempts) throws InterruptedException { + RunRetrieveResponse evalRun + = openAIClient.evals().runs().retrieve(RunRetrieveParams.builder().evalId(evalId).runId(runId).build()); + int attempts = 0; + while (!"completed".equals(evalRun.status()) && !"failed".equals(evalRun.status()) && attempts < maxAttempts) { + sleepIfRunningAgainstService(pollIntervalSeconds * 1000L); + evalRun + = openAIClient.evals().runs().retrieve(RunRetrieveParams.builder().evalId(evalId).runId(runId).build()); + attempts++; + } + return evalRun; + } + + private String getRecordedConfig(String name) { + if (getTestMode() == TestMode.PLAYBACK) { + return testResourceNamer.recordValueFromConfig(name); + } + + String value = Configuration.getGlobalConfiguration().get(name); + if (getTestMode() == TestMode.RECORD) { + testResourceNamer.recordValueFromConfig(name); + } + return value; + } +} diff --git a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/EvaluationsHelperTests.java b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/EvaluationsHelperTests.java new file mode 100644 index 000000000000..30fa05e7fa5d --- /dev/null +++ b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/EvaluationsHelperTests.java @@ -0,0 +1,39 @@ +// Copyright (c) Microsoft Corporation. All rights reserved. +// Licensed under the MIT License. + +package com.azure.ai.projects; + +import com.azure.ai.projects.models.TestingCriterionAzureAIEvaluator; +import com.azure.core.util.BinaryData; +import com.fasterxml.jackson.core.JsonProcessingException; +import com.openai.core.ObjectMappers; +import com.openai.models.evals.EvalCreateParams; +import org.junit.jupiter.api.Assertions; +import org.junit.jupiter.api.Test; + +import java.util.Collections; + +public class EvaluationsHelperTests { + @Test + public void convertsAzureAIEvaluatorToTestingCriterion() throws JsonProcessingException { + TestingCriterionAzureAIEvaluator evaluator + = new TestingCriterionAzureAIEvaluator("coherence", "builtin.coherence") + .setInitializationParameters( + Collections.singletonMap("deployment_name", BinaryData.fromObject("gpt-4o-mini"))) + .setDataMapping(Collections.singletonMap("response", "{{sample.output_text}}")); + + EvalCreateParams.TestingCriterion testingCriterion = EvaluationsHelper.toTestingCriterion(evaluator); + + Assertions.assertNotNull(testingCriterion); + String json = ObjectMappers.jsonMapper().writeValueAsString(testingCriterion); + Assertions.assertTrue(json.contains("\"type\":\"azure_ai_evaluator\"")); + Assertions.assertTrue(json.contains("\"evaluator_name\":\"builtin.coherence\"")); + Assertions.assertTrue(json.contains("\"deployment_name\":\"gpt-4o-mini\"")); + Assertions.assertTrue(json.contains("\"response\":\"{{sample.output_text}}\"")); + } + + @Test + public void toTestingCriterionRequiresEvaluator() { + Assertions.assertThrows(NullPointerException.class, () -> EvaluationsHelper.toTestingCriterion(null)); + } +} diff --git a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/SamplesTests.java b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/SamplesTests.java index fabb046753fc..613d0960e49c 100644 --- a/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/SamplesTests.java +++ b/sdk/ai/azure-ai-projects/src/test/java/com/azure/ai/projects/SamplesTests.java @@ -2,11 +2,8 @@ // Licensed under the MIT License. package com.azure.ai.projects; -import com.azure.ai.agents.models.PageOrder; import com.azure.ai.projects.models.CreateSkillVersionFromFilesBody; -import com.azure.ai.projects.models.DataGenerationJob; import com.azure.ai.projects.models.FilesFileDetails; -import com.azure.ai.projects.models.FoundryFeaturesOptInKeys; import com.azure.ai.projects.models.ModelVersion; import com.azure.ai.projects.models.Skill; import com.azure.ai.projects.models.SkillVersion; @@ -32,8 +29,6 @@ public class SamplesTests extends ClientTestBase { private static final String SAMPLE_SKILL_NAME = "java-sample-skill-package-test"; - private static final FoundryFeaturesOptInKeys DATA_GENERATION_PREVIEW - = FoundryFeaturesOptInKeys.DATA_GENERATION_JOBS_V1_PREVIEW; @LiveOnly @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) @@ -93,46 +88,6 @@ public void skillsPackageAsyncSample(HttpClient httpClient, AIProjectsServiceVer })).verifyComplete(); } - @LiveOnly - @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) - @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters") - public void dataGenerationJobsListSample(HttpClient httpClient, AIProjectsServiceVersion serviceVersion) { - DataGenerationJobsClient dataGenerationJobsClient - = getClientBuilder(httpClient, serviceVersion).buildDataGenerationJobsClient(); - - Iterable jobs - = dataGenerationJobsClient.listGenerationJobs(DATA_GENERATION_PREVIEW, 5, PageOrder.DESC, null, null); - Assertions.assertNotNull(jobs); - - int count = 0; - for (DataGenerationJob job : jobs) { - Assertions.assertNotNull(job); - Assertions.assertNotNull(job.getId()); - count++; - if (count >= 5) { - break; - } - } - } - - @LiveOnly - @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) - @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters") - public void dataGenerationJobsListAsyncSample(HttpClient httpClient, AIProjectsServiceVersion serviceVersion) { - DataGenerationJobsAsyncClient dataGenerationJobsAsyncClient - = getClientBuilder(httpClient, serviceVersion).buildDataGenerationJobsAsyncClient(); - - StepVerifier.create( - dataGenerationJobsAsyncClient.listGenerationJobs(DATA_GENERATION_PREVIEW, 5, PageOrder.DESC, null, null) - .take(5) - .doOnNext(job -> { - Assertions.assertNotNull(job); - Assertions.assertNotNull(job.getId()); - }) - .then()) - .verifyComplete(); - } - @LiveOnly @ParameterizedTest(name = DISPLAY_NAME_WITH_ARGUMENTS) @MethodSource("com.azure.ai.projects.TestUtils#getTestParameters")