Esta integración de muestra contiene un flujo que se usará como subintegración para interactuar con los modelos de Vertex AI de Google Cloud. Antes de usar la siguiente muestra de código, asegúrate de que se cumplan todos los requisitos previos.
{
"triggerConfigs": [
{
"label": "API Trigger",
"startTasks": [
{
"taskId": "1"
}
],
"properties": {
"Trigger name": "vertex-ai-task_API_1"
},
"triggerType": "API",
"triggerNumber": "1",
"triggerId": "api_trigger/vertex-ai-task_API_1",
"description": "As inputs, we are only adding TextPrompt and ModelId. You can set Model ID for different Google models, such as text-bison, chat-bison, etc.",
"position": {
"x": -210
}
}
],
"taskConfigs": [
{
"task": "Vertex AI - Predict",
"taskId": "4",
"parameters": {
"request": {
"key": "request",
"value": {
"stringValue": "$`Task_4_request`$"
}
},
"projectsId": {
"key": "projectsId",
"value": {
"stringValue": "$ProjectId$"
}
},
"endpoint": {
"key": "endpoint",
"value": {
"stringValue": "$endpoint$"
}
},
"locationsId": {
"key": "locationsId",
"value": {
"stringValue": "$Region$"
}
},
"response": {
"key": "response",
"value": {
"stringArray": {
"stringValues": [
"$`Task_4_response`$"
]
}
}
},
"taskTemplateId": {
"key": "taskTemplateId",
"value": {
"stringValue": "2b5513a2-f3f4-4ac6-918e-8ea55b53cbb8"
}
}
},
"nextTasks": [
{
"taskId": "3"
}
],
"taskExecutionStrategy": "WHEN_ALL_SUCCEED",
"displayName": "Vertex AI - Predict (Preview)",
"description": "This is the actual Vertex AI API call with the variables we\u0027ve previously setup. Notice that under authentication, you need to have a Service Account with Vertex AI Predict IAM permissions.",
"taskTemplate": "Vertex AI - Predict",
"externalTaskType": "NORMAL_TASK",
"position": {
"x": -208,
"y": 256
}
},
{
"task": "FieldMappingTask",
"taskId": "1",
"parameters": {
"FieldMappingConfigTaskParameterKey": {
"key": "FieldMappingConfigTaskParameterKey",
"value": {
"jsonValue": "{\n \"@type\": \"type.googleapis.com/enterprise.crm.eventbus.proto.FieldMappingConfig\",\n \"mappedFields\": [{\n \"inputField\": {\n \"fieldType\": \"STRING_VALUE\",\n \"transformExpression\": {\n \"initialValue\": {\n \"baseFunction\": {\n \"functionType\": {\n \"baseFunction\": {\n \"functionName\": \"GET_PROJECT_ID\"\n }\n }\n }\n }\n }\n },\n \"outputField\": {\n \"referenceKey\": \"$ProjectId$\",\n \"fieldType\": \"STRING_VALUE\",\n \"cardinality\": \"OPTIONAL\"\n }\n }, {\n \"inputField\": {\n \"fieldType\": \"STRING_VALUE\",\n \"transformExpression\": {\n \"initialValue\": {\n \"baseFunction\": {\n \"functionType\": {\n \"baseFunction\": {\n \"functionName\": \"GET_REGION\"\n }\n }\n }\n }\n }\n },\n \"outputField\": {\n \"referenceKey\": \"$Region$\",\n \"fieldType\": \"STRING_VALUE\",\n \"cardinality\": \"OPTIONAL\"\n }\n }, {\n \"inputField\": {\n \"fieldType\": \"STRING_VALUE\",\n \"transformExpression\": {\n \"initialValue\": {\n \"referenceValue\": \"$endpoint$\"\n },\n \"transformationFunctions\": [{\n \"functionType\": {\n \"stringFunction\": {\n \"functionName\": \"CONCAT\"\n }\n },\n \"parameters\": [{\n \"initialValue\": {\n \"referenceValue\": \"$ModelId$\"\n }\n }]\n }]\n }\n },\n \"outputField\": {\n \"referenceKey\": \"$endpoint$\",\n \"fieldType\": \"STRING_VALUE\",\n \"cardinality\": \"OPTIONAL\"\n }\n }, {\n \"inputField\": {\n \"fieldType\": \"JSON_VALUE\",\n \"transformExpression\": {\n \"initialValue\": {\n \"referenceValue\": \"$PalmPromptRequest$\"\n },\n \"transformationFunctions\": [{\n \"functionType\": {\n \"jsonFunction\": {\n \"functionName\": \"RESOLVE_TEMPLATE\"\n }\n }\n }]\n }\n },\n \"outputField\": {\n \"referenceKey\": \"$`Task_4_request`$\",\n \"fieldType\": \"JSON_VALUE\",\n \"cardinality\": \"OPTIONAL\"\n }\n }]\n}"
}
}
},
"nextTasks": [
{
"taskId": "4"
}
],
"taskExecutionStrategy": "WHEN_ALL_SUCCEED",
"displayName": "Set Prompt Parameters",
"description": "In here, we are setting the required variables for the Vertex AI task. The actual payload is set using the resolve_template function from a pre-defined Local Variable called PalmPromptRequest.",
"externalTaskType": "NORMAL_TASK",
"position": {
"x": -210,
"y": 126
}
},
{
"task": "FieldMappingTask",
"taskId": "3",
"parameters": {
"FieldMappingConfigTaskParameterKey": {
"key": "FieldMappingConfigTaskParameterKey",
"value": {
"jsonValue": "{\n \"@type\": \"type.googleapis.com/enterprise.crm.eventbus.proto.FieldMappingConfig\",\n \"mappedFields\": [{\n \"inputField\": {\n \"fieldType\": \"JSON_VALUE\",\n \"transformExpression\": {\n \"initialValue\": {\n \"referenceValue\": \"$`Task_4_response`.predictions$\"\n },\n \"transformationFunctions\": [{\n \"functionType\": {\n \"jsonFunction\": {\n \"functionName\": \"GET_ELEMENT\"\n }\n },\n \"parameters\": [{\n \"initialValue\": {\n \"literalValue\": {\n \"intValue\": \"0\"\n }\n }\n }]\n }, {\n \"functionType\": {\n \"jsonFunction\": {\n \"functionName\": \"GET_PROPERTY\"\n }\n },\n \"parameters\": [{\n \"initialValue\": {\n \"literalValue\": {\n \"stringValue\": \"content\"\n }\n }\n }]\n }]\n }\n },\n \"outputField\": {\n \"referenceKey\": \"$Content$\",\n \"fieldType\": \"STRING_VALUE\",\n \"cardinality\": \"OPTIONAL\"\n }\n }]\n}"
}
}
},
"taskExecutionStrategy": "WHEN_ALL_SUCCEED",
"displayName": "Map Prompt Response",
"description": "Finally, we are mapping just the content of the Vertex AI task output as the final integration Output. ",
"externalTaskType": "NORMAL_TASK",
"position": {
"x": -210,
"y": 378
}
}
],
"integrationParameters": [
{
"key": "TextPrompt",
"dataType": "STRING_VALUE",
"displayName": "TextPrompt",
"inputOutputType": "IN"
},
{
"key": "Region",
"dataType": "STRING_VALUE",
"defaultValue": {
"stringValue": "us-central1"
},
"displayName": "Region"
},
{
"key": "ProjectId",
"dataType": "STRING_VALUE",
"displayName": "ProjectId"
},
{
"key": "`Task_4_request`",
"dataType": "JSON_VALUE",
"defaultValue": {
"jsonValue": "{\n}"
},
"displayName": "`Task_4_request`",
"isTransient": true,
"producer": "1_4",
"jsonSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"type\": \"object\",\n \"properties\": {\n \"instances\": {\n \"type\": \"array\"\n },\n \"parameters\": {\n \"type\": \"object\"\n }\n }\n}"
},
{
"key": "`Task_4_response`",
"dataType": "JSON_VALUE",
"displayName": "`Task_4_response`",
"isTransient": true,
"producer": "1_4",
"jsonSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"type\": \"object\",\n \"properties\": {\n \"deployedModelId\": {\n \"type\": \"string\"\n },\n \"modelVersionId\": {\n \"type\": \"string\"\n },\n \"model\": {\n \"type\": \"string\"\n },\n \"predictions\": {\n \"type\": \"array\"\n },\n \"modelDisplayName\": {\n \"type\": \"string\"\n }\n }\n}"
},
{
"key": "ModelId",
"dataType": "STRING_VALUE",
"defaultValue": {
"stringValue": "text-bison@001"
},
"displayName": "ModelId",
"inputOutputType": "IN"
},
{
"key": "endpoint",
"dataType": "STRING_VALUE",
"defaultValue": {
"stringValue": "publishers/google/models/"
},
"displayName": "endpoint"
},
{
"key": "PalmPromptRequest",
"dataType": "JSON_VALUE",
"defaultValue": {
"jsonValue": "{\n \"instances\": [{\n \"prompt\": \"$TextPrompt$\"\n }],\n \"parameters\": {\n \"temperature\": 0.2,\n \"maxOutputTokens\": 768.0,\n \"topP\": 0.8,\n \"topK\": 40.0\n }\n}"
},
"displayName": "PalmPromptRequest",
"jsonSchema": "{\n \"$schema\": \"http://json-schema.org/draft-04/schema#\",\n \"type\": \"object\",\n \"properties\": {\n \"instances\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"prompt\": {\n \"type\": \"string\"\n }\n }\n }\n },\n \"parameters\": {\n \"type\": \"object\",\n \"properties\": {\n \"topK\": {\n \"type\": \"number\"\n },\n \"temperature\": {\n \"type\": \"number\"\n },\n \"maxOutputTokens\": {\n \"type\": \"number\"\n },\n \"topP\": {\n \"type\": \"number\"\n }\n }\n }\n }\n}"
},
{
"key": "Content",
"dataType": "STRING_VALUE",
"displayName": "Content",
"inputOutputType": "OUT"
}
]
}
En la siguiente imagen, se muestra un diseño de muestra del editor de integración para esta muestra de código de integración.
