適用於 Azure Functions 的 Azure OpenAI 助理發佈輸入繫結

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此範例示範了建立程序，其中 HTTP POST 函式會將使用者提示傳送給助理聊天機器人。 對提示的回應會在 HTTP 回應中傳回。

/// <summary>
/// HTTP POST function that sends user prompts to the assistant chat bot.
/// </summary>
[Function(nameof(PostUserQuery))]
public static IActionResult PostUserQuery(
    [HttpTrigger(AuthorizationLevel.Function, "post", Route = "assistants/{assistantId}")] HttpRequestData req,
    string assistantId,
    [AssistantPostInput("{assistantId}", "{Query.message}", ChatModel = "%CHAT_MODEL_DEPLOYMENT_NAME%", AIConnectionName = "AzureOpenAI", ChatStorageConnectionSetting = DefaultChatStorageConnectionSetting, CollectionName = DefaultCollectionName)] AssistantState state)
{
    return new OkObjectResult(state.RecentMessages.Any() ? state.RecentMessages[state.RecentMessages.Count - 1].Content : "No response returned.");
}

此範例示範了建立程序，其中 HTTP POST 函式會將使用者提示傳送給助理聊天機器人。 對提示的回應會在 HTTP 回應中傳回。

/*
 * HTTP POST function that sends user prompts to the assistant chat bot.
 */ 
@FunctionName("PostUserResponse")
public HttpResponseMessage postUserResponse(
    @HttpTrigger(
        name = "req",
        methods = {HttpMethod.POST}, 
        authLevel = AuthorizationLevel.FUNCTION,
        route = "assistants/{assistantId}") 
        HttpRequestMessage<Optional<String>> request,
    @BindingName("assistantId") String assistantId,        
    @AssistantPost(name="newMessages", id = "{assistantId}", chatModel = "%CHAT_MODEL_DEPLOYMENT_NAME%", aiConnectionName = "AzureOpenAI", userMessage = "{Query.message}", chatStorageConnectionSetting = DEFAULT_CHATSTORAGE, collectionName = DEFAULT_COLLECTION) AssistantState state,
    final ExecutionContext context) {
        
        List<AssistantMessage> recentMessages = state.getRecentMessages();
        String response = recentMessages.isEmpty() ? "No response returned." : recentMessages.get(recentMessages.size() - 1).getContent();
        
        return request.createResponseBuilder(HttpStatus.OK)
            .header("Content-Type", "application/json")
            .body(response)
            .build();
}

此範例示範了建立程序，其中 HTTP POST 函式會將使用者提示傳送給助理聊天機器人。 對提示的回應會在 HTTP 回應中傳回。

const { app, input, output } = require("@azure/functions");

const assistantPostInput = input.generic({
    type: 'assistantPost',
    id: '{assistantId}',
    chatModel: '%CHAT_MODEL_DEPLOYMENT_NAME%',
    aiConnectionName: 'AzureOpenAI',
    userMessage: '{Query.message}',
    chatStorageConnectionSetting: CHAT_STORAGE_CONNECTION_SETTING,
    collectionName: COLLECTION_NAME
})
app.http('PostUserResponse', {
    methods: ['POST'],
    route: 'assistants/{assistantId}',
    authLevel: 'function',
    extraInputs: [assistantPostInput],
    handler: async (_, context) => {
        const chatState = context.extraInputs.get(assistantPostInput)
        const content = chatState.recentMessages[0].content
        return {
            status: 200,
            body: content,
            headers: {
                'Content-Type': 'text/plain'
            }
        };
    }
})

import { HttpRequest, InvocationContext, app, input, output } from "@azure/functions"

const assistantPostInput = input.generic({
    type: 'assistantPost',
    id: '{assistantId}',
    chatModel: '%CHAT_MODEL_DEPLOYMENT_NAME%',
    aiConnectionName: 'AzureOpenAI',
    userMessage: '{Query.message}',
    chatStorageConnectionSetting: CHAT_STORAGE_CONNECTION_SETTING,
    collectionName: COLLECTION_NAME
})
app.http('PostUserResponse', {
    methods: ['POST'],
    route: 'assistants/{assistantId}',
    authLevel: 'function',
    extraInputs: [assistantPostInput],
    handler: async (_, context) => {
        const chatState: any = context.extraInputs.get(assistantPostInput)
        const content = chatState.recentMessages[0].content
        return {
            status: 200,
            body: content,
            headers: {
                'Content-Type': 'text/plain'
            }
        };
    }
})

此範例示範了建立程序，其中 HTTP POST 函式會將使用者提示傳送給助理聊天機器人。 對提示的回應會在 HTTP 回應中傳回。

以下是 後續使用者查詢的 function.json檔案：

{
  "bindings": [
    {
      "authLevel": "function",
      "type": "httpTrigger",
      "direction": "in",
      "name": "Request",
      "route": "assistants/{assistantId}",
      "methods": [
        "post"
      ]
    },
    {
      "type": "http",
      "direction": "out",
      "name": "Response"
    },
    {
      "name": "State",
      "type": "assistantPost",
      "direction": "in",
      "dataType": "string",
      "id": "{assistantId}",
      "userMessage": "{Query.message}",
      "chatModel": "%CHAT_MODEL_DEPLOYMENT_NAME%",
      "chatStorageConnectionSetting": "AzureWebJobsStorage",
      "collectionName": "ChatState",
      "aiConnectionName": "AzureOpenAI"
    }
  ]
}

如需 function.json 檔案屬性的詳細資訊，請參閱設定一節。

using namespace System.Net

param($Request, $TriggerMetadata, $State)

$recent_message_content = "No recent messages!"

if ($State.recentMessages.Count -gt 0) {
    $recent_message_content = $State.recentMessages[0].content
}

Push-OutputBinding -Name Response -Value ([HttpResponseContext]@{
    StatusCode = [HttpStatusCode]::OK
    Body       = $recent_message_content
    Headers    = @{
        "Content-Type" = "text/plain"
    }
})

此範例示範了建立程序，其中 HTTP POST 函式會將使用者提示傳送給助理聊天機器人。 對提示的回應會在 HTTP 回應中傳回。

@apis.function_name("PostUserQuery")
@apis.route(route="assistants/{assistantId}", methods=["POST"])
@apis.assistant_post_input(
    arg_name="state",
    id="{assistantId}",
    user_message="{Query.message}",
    chat_model="%CHAT_MODEL_DEPLOYMENT_NAME%",
    ai_connection_name="AzureOpenAI",
    chat_storage_connection_setting=DEFAULT_CHAT_STORAGE_SETTING,
    collection_name=DEFAULT_CHAT_COLLECTION_NAME,
)
def post_user_response(req: func.HttpRequest, state: str) -> func.HttpResponse:
    # Parse the JSON string into a dictionary
    data = json.loads(state)

    # Extract the content of the recentMessage
    recent_message_content = data["recentMessages"][0]["content"]
    return func.HttpResponse(
        recent_message_content, status_code=200, mimetype="text/plain"
    )

屬性

套用 PostUserQuery 屬性來定義助理發佈輸入繫結，其支援下列參數：

註釋

PostUserQuery 註釋可讓您定義助理發佈輸入繫結，其支援下列參數：

裝飾項目

在預覽期間，將輸出繫結定義為 generic_output_binding 類型的 postUserQuery 繫結，其支援下列參數：

組態

繫結支援您在 function.json 檔案中設定的下列組態屬性。

組態

繫結支援您在程式碼中定義的下列屬性：