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# 运行提示管理器示例代码
<a name="prompt-management-code-ex"></a>

要试用一些用于提示管理器的示例代码，请选择与您的首选方法对应的选项卡，然后按照以下步骤操作。以下示例代码假设您已设置凭证，可以使用 AWS API。如果您尚未设置，请参阅 [开始使用 API](getting-started-api.md)。

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#### [ Python ]

1. 运行以下代码段以发出 [CreatePrompt](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_CreatePrompt.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，加载适用于 Python (Boto3) 的 AWS SDK，创建客户端，然后使用两个变量（`genre` 和 `number`）创建用于创建音乐播放列表的提示：

   ```
   # Create a prompt in Prompt management
   import boto3
   
   # Create an Amazon Bedrock Agents client
   client = boto3.client(service_name="bedrock-agent")
   
   # Create the prompt
   response = client.create_prompt(
       name="MakePlaylist",
       description="My first prompt.",
       variants=[
           { 
               "name": "Variant1",
               "modelId": "amazon.titan-text-express-v1",
               "templateType": "TEXT",
               "inferenceConfiguration": {
                   "text": {
                       "temperature": 0.8
                   }
               },
               "templateConfiguration": { 
                   "text": {
                       "text": "Make me a {{genre}} playlist consisting of the following number of songs: {{number}}."
                   }
               }
         }
       ]
   )
                           
   prompt_id = response.get("id")
   ```

1. 运行以下代码段以发出 [ListPrompts](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_ListPrompts.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，查看您刚刚创建的提示（以及您账户中的任何其他提示）：

   ```
   # List prompts that you've created
   client.list_prompts()
   ```

1. 您应该在 `promptSummaries` 字段中的对象中的 `id` 字段中看到您创建的提示的 ID。运行以下代码段以发出 [GetPrompt](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_GetPrompt.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，显示您创建的提示的信息：

   ```
   # Get information about the prompt that you created
   client.get_prompt(promptIdentifier=prompt_id)
   ```

1. 运行以下代码段以发出 [CreatePromptVersion](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_CreatePromptVersion.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，创建提示版本并获取其 ID：

   ```
   # Create a version of the prompt that you created
   response = client.create_prompt_version(promptIdentifier=prompt_id)
                           
   prompt_version = response.get("version")
   prompt_version_arn = response.get("arn")
   ```

1. 运行以下代码段以发出 [ListPrompts](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_ListPrompts.html) [Amazon Bedrock 代理运行时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，查看有关您刚刚创建的提示版本的信息以及有关草稿版本的信息：

   ```
   # List versions of the prompt that you just created
   client.list_prompts(promptIdentifier=prompt_id)
   ```

1. 运行以下代码段以发出 [GetPrompt](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_GetPrompt.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，查看您刚刚创建的提示版本的信息：

   ```
   # Get information about the prompt version that you created
   client.get_prompt(
       promptIdentifier=prompt_id, 
       promptVersion=prompt_version
   )
   ```

1. 按照[运行 Amazon Bedrock 流代码示例](flows-code-ex.md)中的步骤将提示添加到流来测试提示。在创建流的第一步中，请改为运行以下代码段以使用您创建的提示，而不是在流中定义内联提示（将 `promptARN` 字段中提示版本的 ARN 替换为您创建的提示版本的 ARN）：

   ```
   # Import Python SDK and create client
   import boto3
   
   client = boto3.client(service_name='bedrock-agent')
   
   FLOWS_SERVICE_ROLE = "arn:aws:iam::123456789012:role/MyPromptFlowsRole" # Flows service role that you created. For more information, see https://docs.aws.amazon.com/bedrock/latest/userguide/flows-permissions.html
   PROMPT_ARN = prompt_version_arn # ARN of the prompt that you created, retrieved programatically during creation.
   
   # Define each node
   
   # The input node validates that the content of the InvokeFlow request is a JSON object.
   input_node = {
       "type": "Input",
       "name": "FlowInput",
       "outputs": [
           {
               "name": "document",
               "type": "Object"
           }
       ]
   }
   
   # This prompt node contains a prompt that you defined in Prompt management.
   # It validates that the input is a JSON object that minimally contains the fields "genre" and "number", which it will map to the prompt variables.
   # The output must be named "modelCompletion" and be of the type "String".
   prompt_node = {
       "type": "Prompt",
       "name": "MakePlaylist",
       "configuration": {
           "prompt": {
               "sourceConfiguration": {
                   "resource": {
                       "promptArn": ""
                   }
               }
           }
       },
       "inputs": [
           {
               "name": "genre",
               "type": "String",
               "expression": "$.data.genre"
           },
           {
               "name": "number",
               "type": "Number",
               "expression": "$.data.number"
           }
       ],
       "outputs": [
           {
               "name": "modelCompletion",
               "type": "String"
           }
       ]
   }
   
   # The output node validates that the output from the last node is a string and returns it as is. The name must be "document".
   output_node = {
       "type": "Output",
       "name": "FlowOutput",
       "inputs": [
           {
               "name": "document",
               "type": "String",
               "expression": "$.data"
           }
       ]
   }
   
   # Create connections between the nodes
   connections = []
   
   #   First, create connections between the output of the flow input node and each input of the prompt node
   for input in prompt_node["inputs"]:
       connections.append(
           {
               "name": "_".join([input_node["name"], prompt_node["name"], input["name"]]),
               "source": input_node["name"],
               "target": prompt_node["name"],
               "type": "Data",
               "configuration": {
                   "data": {
                       "sourceOutput": input_node["outputs"][0]["name"],
                       "targetInput": input["name"]
                   }
               }
           }
       )
   
   # Then, create a connection between the output of the prompt node and the input of the flow output node
   connections.append(
       {
           "name": "_".join([prompt_node["name"], output_node["name"]]),
           "source": prompt_node["name"],
           "target": output_node["name"],
           "type": "Data",
           "configuration": {
               "data": {
                   "sourceOutput": prompt_node["outputs"][0]["name"],
                   "targetInput": output_node["inputs"][0]["name"]
               }
           }
       }
   )
   
   # Create the flow from the nodes and connections
   client.create_flow(
       name="FlowCreatePlaylist",
       description="A flow that creates a playlist given a genre and number of songs to include in the playlist.",
       executionRoleArn=FLOWS_SERVICE_ROLE,
       definition={
           "nodes": [input_node, prompt_node, output_node],
           "connections": connections
       }
   )
   ```

1. 运行以下代码段以发出 [DeletePrompt](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_DeletePrompt.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，删除您刚刚创建的提示版本：

   ```
   # Delete the prompt version that you created
   client.delete_prompt(
       promptIdentifier=prompt_id, 
       promptVersion=prompt_version
   )
   ```

1. 运行以下代码段以发出 [DeletePrompt](https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_DeletePrompt.html) [Amazon Bedrock 代理构建时端点](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#bra-bt)，完全删除您刚刚创建的提示：

   ```
   # Delete the prompt that you created
   client.delete_prompt(
       promptIdentifier=prompt_id
   )
   ```

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