OpenAI SDK 聊天（官方）

spring.ai.openai-sdk.api-key=<your-openai-api-key>
# base-url is optional, defaults to https://api.openai.com/v1

export OPENAI_API_KEY=<your-openai-api-key>
# OPENAI_BASE_URL is optional, defaults to https://api.openai.com/v1

spring.ai.openai-sdk.base-url=https://<your-deployment-url>.openai.azure.com
spring.ai.openai-sdk.api-key=<your-api-key>
spring.ai.openai-sdk.microsoft-deployment-name=<your-deployment-name>

export OPENAI_BASE_URL=https://<your-deployment-url>.openai.azure.com
export OPENAI_API_KEY=<your-api-key>

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-identity</artifactId>
</dependency>

spring.ai.openai-sdk.base-url=https://<your-deployment-url>.openai.azure.com
spring.ai.openai-sdk.microsoft-deployment-name=<your-deployment-name>
# No api-key needed - will use Azure credentials from environment

spring.ai.openai-sdk.base-url=https://models.inference.ai.azure.com
spring.ai.openai-sdk.api-key=github_pat_XXXXXXXXXXX

export OPENAI_BASE_URL=https://models.inference.ai.azure.com
export OPENAI_API_KEY=github_pat_XXXXXXXXXXX

spring.ai.openai-sdk.api-key=${OPENAI_API_KEY}

var imageResource = new ClassPathResource("/multimodal.test.png");

var userMessage = new UserMessage(
    "Explain what do you see on this picture?",
    List.of(new Media(MimeTypeUtils.IMAGE_PNG, imageResource)));

ChatResponse response = chatModel.call(
    new Prompt(userMessage,
        OpenAiSdkChatOptions.builder()
            .model("gpt-4o")
            .build()));

var userMessage = new UserMessage(
    "Explain what do you see on this picture?",
    List.of(Media.builder()
        .mimeType(MimeTypeUtils.IMAGE_PNG)
        .data(URI.create("https://docs.spring.io/spring-ai/reference/_images/multimodal.test.png"))
        .build()));

ChatResponse response = chatModel.call(new Prompt(userMessage));

var audioResource = new ClassPathResource("speech1.mp3");

var userMessage = new UserMessage(
    "What is this recording about?",
    List.of(new Media(MimeTypeUtils.parseMimeType("audio/mp3"), audioResource)));

ChatResponse response = chatModel.call(
    new Prompt(userMessage,
        OpenAiSdkChatOptions.builder()
            .model("gpt-4o-audio-preview")
            .build()));

var userMessage = new UserMessage("Tell me a joke about Spring Framework");

ChatResponse response = chatModel.call(
    new Prompt(userMessage,
        OpenAiSdkChatOptions.builder()
            .model("gpt-4o-audio-preview")
            .outputModalities(List.of("text", "audio"))
            .outputAudio(new AudioParameters(Voice.ALLOY, AudioResponseFormat.WAV))
            .build()));

String text = response.getResult().getOutput().getText(); // audio transcript
byte[] waveAudio = response.getResult().getOutput().getMedia().get(0).getDataAsByteArray(); // audio data

String jsonSchema = """
    {
        "type": "object",
        "properties": {
            "steps": {
                "type": "array",
                "items": {
                    "type": "object",
                    "properties": {
                        "explanation": { "type": "string" },
                        "output": { "type": "string" }
                    },
                    "required": ["explanation", "output"],
                    "additionalProperties": false
                }
            },
            "final_answer": { "type": "string" }
        },
        "required": ["steps", "final_answer"],
        "additionalProperties": false
    }
    """;

Prompt prompt = new Prompt(
    "how can I solve 8x + 7 = -23",
    OpenAiSdkChatOptions.builder()
        .model("gpt-4o-mini")
        .responseFormat(ResponseFormat.builder()
            .type(ResponseFormat.Type.JSON_SCHEMA)
            .jsonSchema(jsonSchema)
            .build())
        .build());

ChatResponse response = chatModel.call(prompt);

record MathReasoning(
    @JsonProperty(required = true, value = "steps") Steps steps,
    @JsonProperty(required = true, value = "final_answer") String finalAnswer) {

    record Steps(
        @JsonProperty(required = true, value = "items") Items[] items) {

        record Items(
            @JsonProperty(required = true, value = "explanation") String explanation,
            @JsonProperty(required = true, value = "output") String output) {
        }
    }
}

var outputConverter = new BeanOutputConverter<>(MathReasoning.class);
String jsonSchema = outputConverter.getJsonSchema();

Prompt prompt = new Prompt(
    "how can I solve 8x + 7 = -23",
    OpenAiSdkChatOptions.builder()
        .model("gpt-4o-mini")
        .responseFormat(ResponseFormat.builder()
            .type(ResponseFormat.Type.JSON_SCHEMA)
            .jsonSchema(jsonSchema)
            .build())
        .build());

ChatResponse response = chatModel.call(prompt);
MathReasoning mathReasoning = outputConverter.convert(
    response.getResult().getOutput().getText());

var chatOptions = OpenAiSdkChatOptions.builder()
    .baseUrl("https://your-resource.openai.azure.com")
    .apiKey(System.getenv("OPENAI_API_KEY"))
    .deploymentName("gpt-4")
    .azureOpenAIServiceVersion(AzureOpenAIServiceVersion.V2024_10_01_PREVIEW)
    .azure(true)  // Enables Microsoft Foundry mode
    .build();

var chatModel = OpenAiSdkChatModel.builder()
    .options(chatOptions)
    .build();

var chatOptions = OpenAiSdkChatOptions.builder()
    .baseUrl("https://models.inference.ai.azure.com")
    .apiKey(System.getenv("GITHUB_TOKEN"))
    .model("gpt-4o")
    .githubModels(true)
    .build();

var chatModel = OpenAiSdkChatModel.builder()
    .options(chatOptions)
    .build();