为 AI 代理创建 Terraform 告警配置,监控延迟、错误、令牌用量、安全信号和响应质量。先检查遥测数据与现有策略、避免重复并验证配置;质量告警需要 Vertex AI。
- 监控代理延迟和错误率
- 告警令牌用量突然增加
- 跟踪安全触发和权限拒绝
了解 Google Cloud Application Integration 的工作流、项目初始化、区域配置、IAM 与运行身份账号,并比较操作接口及平台配额和执行限制。
Explains Google Cloud Application Integration concepts, region provisioning, IAM roles, run-as service accounts, interface choices (REST, Python discovery client, Terraform, ADK), and platform limits. Use when setting up Application Integration in a Google Cloud project, enabling required APIs, provisioning a region, configuring IAM or run-as service accounts, choosing between Application Integration and custom code, or checking quotas and timeouts. Do not use for building, publishing, or invoking integrations (use application-integration-authoring) or diagnosing failed or stuck runs and logs (use application-integration-troubleshooting).
实测评分 未实测
查看安装方法本技能介绍 Google Cloud Application Integration 的基本概念,以及在项目中开始使用它所需的准备工作。它说明由触发器、任务和数据映射组成的工作流,并指导你启用所需 API、配置区域,以及设置 IAM 角色和运行身份服务账号。资料还比较 REST API、Python discovery client、Terraform、ADK 和 Cloud Console 的用途,帮助你根据需求选择操作方式。此外,它涵盖执行时间、数据量和并发数等限制,可用于判断某项工作流适合使用 Application Integration 还是自定义代码。
在新的 Google Cloud 项目中搭建集成平台、确认所需权限或认证方式时,可以使用本技能。它也适用于在开始构建前了解 API 和配额条件,以及确认 Terraform 能管理哪些配置。
使用该服务需要 Google Cloud 项目和结算账号。启用 API、创建区域、修改 IAM、安装软件包或更改 gcloud 配置都会改变状态;执行前应向用户展示具体操作并取得确认。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月28日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Application Integration is Google Cloud's serverless, auto-scaling Integration-Platform-as-a-Service (iPaaS) for connecting Google Cloud services and third-party SaaS applications. It runs event-driven workflows made of triggers, tasks, data mappings, and Integration Connectors connections without requiring you to manage servers. Use this skill to decide whether Application Integration fits a workload, set up a project and region, configure IAM and run-as service accounts, choose the right API or tool interface, and design around platform limits.
MUST READ: Before executing any gcloud command, REST API call, or Python
discovery-client call, you MUST read
Usage Attribution. For commands executed directly
in the terminal (never in generated scripts, Terraform, ADK agents, or user
code), prefix gcloud with
CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:application-integration-basics)"
and add agent-skills/1.0 (skill:application-integration-basics) to the
User-Agent header of curl requests.
| Choose Application Integration when... | Choose custom code (Cloud Run / Cloud Functions) when... |
|---|---|
| Connecting SaaS apps (CRM, ERP, databases, Google Cloud services) via prebuilt Integration Connectors. | You need sub-second latency or custom binary protocols. |
| Orchestrating event-driven workflows from API, Pub/Sub, Cloud Scheduler, Salesforce, or Connector Event triggers. | Total workflow data exceeds 30 MB (or 8 MB for API trigger inputs and Connector payloads). |
| Transforming JSON/array data visually with Data Mapping or Jsonnet without deploying containers. | Synchronous runs take longer than 2 minutes or asynchronous runs take longer than 10 minutes. |
Pausing workflows for human review (Approval or Suspend tasks up to 31 days). | You must call VPC-only HTTP endpoints directly without Private Service Connect connectors (Call REST Endpoint reaches the public internet only). |
Exposing enterprise workflows or connectors as tools to AI agents via ADK ApplicationIntegrationToolset. | You need arbitrary language packages or heavy in-memory compute beyond JavaScript (V8) or Jsonnet tasks. |
gcloud services list, gcloud projects get-iam-policy, and HTTP GET calls to https://integrations.googleapis.com/v1/... or https://connectors.googleapis.com/v1/... without asking first.gcloud services enable).clients:provision or terraform apply on google_integrations_client), especially with Customer-Managed Encryption Keys (CMEK), because enabling CMEK for a region cannot be undone.gcloud projects add-iam-policy-binding or gcloud iam service-accounts add-iam-policy-binding).pip install) or changing global gcloud or credential state (gcloud config set ... such as auth/impersonate_service_account, gcloud auth application-default login / set-quota-project), show the exact command and wait for the user's approval.Application Integration has no gcloud integrations command group (and no gcloud connectors command group), and no Google-managed remote MCP server. The REST API is the primary control and execution interface.
| Interface | What it covers | Authentication |
|---|---|---|
REST API (curl) | Full v1 surface: region provisioning, integrations, versions, download/upload, publish, execute, schedule, executions, suspensions, authConfigs, templates. | Authorization: Bearer $(gcloud auth print-access-token) |
| Python discovery client | Full v1 surface via googleapiclient.discovery.build("integrations", "v1") (and v2 via build("integrations", "v2"); no dedicated Cloud Client Library exists). Install with pip install "google-api-python-client>=2.100.0,<3" "google-auth>=2.20.0,<3" (changes host or credential state; get the user's approval first). | Application Default Credentials (gcloud auth application-default login) (changes host or credential state; get the user's approval first) |
Terraform (hashicorp/google) | Infrastructure only: google_integrations_client (region setup), google_integrations_auth_config, and google_integration_connectors_*. Does not manage integration workflow versions. | ADC or Terraform provider credentials |
ADK (ApplicationIntegrationToolset) | Exposes published API-trigger integrations or Integration Connectors actions/entities as tools for ADK agents (Python v0.1.0+, Java v0.3.0+). | ADC (gcloud auth application-default login) (changes host or credential state; get the user's approval first) or service account JSON |
| Cloud console | Visual drag-and-drop editor, Quick/Advanced region setup, Approval task resolution, OAuth 2.0 authorization code consent flow. | Browser Google Cloud sign-in |
gcloud only for generic Google Cloud tasks: enabling APIs (gcloud services enable), printing access tokens (gcloud auth print-access-token), managing IAM, and reading Cloud Logging (gcloud logging read).MCP v1 and v2) that lets a workflow call an external MCP server as a connector target; this is an outbound connector, not a Google-managed MCP server for controlling Application Integration.https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/... consistently for REST calls.integrations:test): Although POST .../integrations/INTEGRATION_NAME:test exists in the v1 REST API, its required TestIntegrationsRequest.clientId value is not publicly documented, so do not invent one; test integrations by publishing to a non-production project and calling :execute.curl commands, Python discovery client patterns, and ADK ApplicationIntegrationToolset configuration.Application Integration is regional: confirm the target region is supported on Application Integration locations and use us-central1 as a well-supported default when the user has no preference. The region is the LOCATION in every REST path; no gcloud default-region setting applies to Application Integration. Provisioning is per region. Provisioning us-central1 does not provision europe-west1; repeat region provisioning for every LOCATION you use in PROJECT_ID. Ensure an active billing account is attached to PROJECT_ID before setup—an active billing account is required even when usage stays within the monthly free tier (see the Application Integration pricing page).
First check which APIs are already enabled (read-only):
gcloud services list --enabled --project=PROJECT_ID \
--filter="config.name:(integrations.googleapis.com OR connectors.googleapis.com OR secretmanager.googleapis.com OR cloudkms.googleapis.com)"
After getting user confirmation, enable the required APIs (add cloudkms.googleapis.com only if configuring CMEK):
gcloud services enable \
integrations.googleapis.com \
connectors.googleapis.com \
secretmanager.googleapis.com \
--project=PROJECT_ID
Setting up Application Integration requires roles/integrations.integrationAdmin, roles/connectors.admin, and roles/editor (plus roles/cloudkms.admin for CMEK). Check current bindings (read-only):
gcloud projects get-iam-policy PROJECT_ID --format=json
LOCATION)Choose one of the three supported paths after getting user confirmation:
Option A: REST (clients:provision)
curl -X POST \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json" \
-d '{}' \
"https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/clients:provision"
The response is {} when provisioning succeeds (clients:provision does not apply runAsServiceAccount; set the run-as identity on each integration version via IntegrationVersion.runAsServiceAccount). {} is also returned when the region is already provisioned; the call does not change an existing region's settings. Change HTTP calls or encryption on an existing region from the console's Regions page (when the region is already ACTIVE, cloudKmsConfig, enableHttpCall, and enableManagedAiFeatures on clients:provision are not applied). If PROJECT_ID was already registered through Apigee Integration, provisioning fails.
Option B: Cloud console
Open https://console.cloud.google.com/integrations, select LOCATION, and click Quick setup (enables the APIs, creates the default service account, and uses Google-managed encryption) or Advanced setup (to configure CMEK, HTTP calls, AI features, governance, or variable masking). To add another region later, go to Regions > Provision new region.
Option C: Terraform (google_integrations_client)
Use the google_integrations_client resource in hashicorp/google. Do not set run_as_service_account on google_integrations_client—that argument was removed in provider v8.0.0 (August 26, 2026), and it mapped to the clients:provision runAsServiceAccount field, which is likewise not applied; set the run-as identity on each integration version (IntegrationVersion.runAsServiceAccount) instead.
Run a read-only list call against the region; a successful 200 OK response is a good sign that the API is reachable in LOCATION:
curl -sS -H "Authorization: Bearer $(gcloud auth print-access-token)" \
"https://integrations.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/integrations"
See references/provisioning-and-terraform.md for all ProvisionClientRequest fields, CMEK and governance options, and complete Terraform examples.
SYNC) wait for completion and return output (integrations.execute, console test, sync Call Integration). Asynchronous runs (ASYNC) are fire-and-forget (integrations.schedule, Schedule, Cloud Scheduler, Cloud Pub/Sub, Salesforce triggers, and runs resumed after a suspension or approval).Data Mapping, Call REST Endpoint, Connectors, JavaScript on V8, Cloud Function, Approval, Suspend, Timer, loops, and Call Integration).DRAFT version can be edited (locked to its author for 15 minutes after the last update). Only an ACTIVE (published) version runs from triggers. Publishing a version automatically unpublishes the prior active version and cancels any suspended executions of that prior version. Unpublishing moves an active version to SNAPSHOT (PREVIOUSLY_PUBLISHED). Calling versions.delete soft-deletes a version into ARCHIVED (listed as DELETED on the Integration versions documentation page).IN), outputs (OUT), IN_OUT, or internal variables with IN_OUT_TYPE_UNSPECIFIED ($varName$).`Task_<taskId>_<variableName>` where taskId is the bare task number in taskConfigs[].taskId (for example, taskId "1" -> $`Task_1_responseBody`$).`ExecutionId`, `ExecutionMode`, `ErrorInfo` [message, code], `IntegrationName`, `Region`, `ProjectId`); reference them as $`ExecutionId`$ (a bare $ExecutionId$ names a nonexistent integration variable and fails).integrationConfigParameters (with defaults in parameter.defaultValue; a top-level value on a draft is discarded) and supplied per environment in configParameters at publish time (named `CONFIG_<NAME>`; keys in configParameters must exactly match a key in integrationConfigParameters, backticks included, such as "`CONFIG_target_url`", because unknown keys are silently ignored—publish returns 200 and the default stays). Never store secrets in config variables—they are exported in plain text. Use an authentication profile (authConfigs) or the Secret Manager task instead.Suspend tasks pause up to 31 days and are resumed via the Suspensions API (suspensions:lift, with an optional suspensionResult, requiring integrations.suspensions.lift). Approval tasks email approvers and can be approved or rejected in the Cloud console UI or via suspensions:resolve (state: "LIFTED" or "REJECTED", requiring integrations.suspensions.resolve). Listing suspensions (suspensions.list) requires integrations.suspensions.list. All three permissions are included in roles/integrations.suspensionResolver (and roles/integrations.integrationAdmin), and resuming also requires roles/iam.serviceAccountUser on the integration's run-as service account; always confirm with the user before lifting or resolving. Timer tasks resume automatically.authConfigs): Reusable regional credential records (projects/PROJECT_ID/locations/LOCATION/authConfigs/AUTH_CONFIG_ID). They are not included when downloading an integration version.See references/core-concepts.md for full details on version states, trigger types, task categories, variables, suspensions, and authentication profiles.
roles/integrations.integrationAdmin (full CRUD + delete auth profiles), roles/integrations.integrationEditor (create/upload/edit/test/invoke/cancel/replay/publish, including integrations.integrationVersions.create and integrations.integrationVersions.deploy), roles/integrations.integrationDeployer (publish/unpublish via integrations.integrationVersions.deploy; holds list/get/deploy but not create, so it can publish an existing version but cannot upload), roles/integrations.integrationInvoker (invoke/cancel/replay), roles/integrations.integrationViewer (view integrations and logs), and roles/integrations.suspensionResolver (list, lift, and resolve suspensions: integrations.suspensions.list, integrations.suspensions.lift, integrations.suspensions.resolve; suspensionResolver alone cannot read execution records, so also grant roles/integrations.integrationViewer to inspect taskExecutionDetails or run :troubleshoot, or use the approval email link, which carries the execution and task IDs).service-PROJECT_NUMBER@gcp-sa-integrations.iam.gserviceaccount.com (granted roles/integrations.serviceAgent).service-PROJECT_NUMBER@gcp-sa-connectors.iam.gserviceaccount.com (granted roles/connectors.serviceAgent).IntegrationVersion.runAsServiceAccount (region provisioning via clients:provision does not apply runAsServiceAccount).runAsServiceAccount is set. Private triggers are exempt like API triggers, so a sub-integration whose only trigger is Private can be published without runAsServiceAccount.roles/iam.serviceAccountUser): Whenever runAsServiceAccount is set on a version, the user (or principal) publishing or testing the version must hold roles/iam.serviceAccountUser on that service account (or its owning project). At runtime, the invoking caller or trigger service account—and anyone resolving or lifting a suspension—must also hold roles/iam.serviceAccountUser on it.runAsServiceAccount is set and no task-level auth profile is set, it mints tokens for Connector, Call REST Endpoint, and Cloud Function tasks (an OAuth 2.0 or OIDC auth profile on a task takes precedence over runAsServiceAccount).See references/iam-and-service-accounts.md for the complete IAM role tables, service agent permissions, credential precedence rules, and gcloud IAM commands.
| Limit | Value | Design impact |
|---|---|---|
| SYNC execution timeout | 2 minutes | Use async triggers or integrations.schedule for workflows exceeding 2 minutes; timed-out sync runs become CANCELLED. |
| ASYNC execution timeout | 10 minutes | Split heavy work into sub-integrations or external jobs if a single async run exceeds 10 minutes. |
| Max execution lifetime | 31 days | Includes time paused in Approval or Suspend tasks (max 44,640 minutes). |
| Total integration data | 30 MB | Shared across input/output variables and private-trigger sub-integrations. Above 10 MB, local logging is disabled, retries stop working, and monitoring skips the run. |
| API trigger input size | 8 MB | Cumulative size across all input variables; larger payloads fail before the workflow starts. |
| Connectors data & timeout | 8 MB in/out; 3 min timeout | Application Integration quotas cap cumulative data sent to/from connections at 8 MB and connector response at 20 MB (Integration Connectors quotas cap the Connectors task payload at 10 MB); custom queries cap at 180 seconds and 50,000 rows. |
| Concurrent executions | 50 per project per region; 10 per integration (defaults) | Both concurrency caps are adjustable; a burst on a single integration hits the 10-per-integration cap, not 50. The execution request rate quota is shown on the project's Cloud Quotas page and can be adjusted there. |
| Integrations / tasks / versions | 1,000 / 100 / 100 | Up to 1,000 integrations per project, 100 tasks per integration, and 100 versions per integration. |
| Publish propagation | Up to 10 minutes | Eventual consistency: an older version can keep running for up to 10 minutes after publishing a new version. |
See references/limits.md for all task-specific payload caps, loop iteration limits, Integration Connectors node limits, and pricing details.
ErrorInfo, listing and filtering executions, Cloud Logging and Cloud Monitoring, suspensions and approvals, Integration Connectors connection health, and IAM / run-as / quota errors.gcloud CLI commands, direct curl REST calls, and Python discovery-client snippets run in the terminal.clients:provision, Cloud console Quick/Advanced setup, CMEK caveats, and Terraform google_integrations_* / google_integration_connectors_* resources.curl examples, Python google-api-python-client discovery patterns, ADK ApplicationIntegrationToolset, and MCP connector clarification.还没有评价。欢迎分享你的使用感受。
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为 AI 代理创建 Terraform 告警配置,监控延迟、错误、令牌用量、安全信号和响应质量。先检查遥测数据与现有策略、避免重复并验证配置;质量告警需要 Vertex AI。
将Model Garden模型部署到Agent Platform端点,查询兼容硬件与预估时价,跟踪部署、测试推理,并在使用后撤下模型和清理端点。
管理 Agent Platform 中接收模型在线预测请求的端点,包括列表、查看详情、创建、更新和删除,并排查权限、配额及资源繁忙错误。
在 Google Cloud 上评估 AI 模型和智能体,通过整理测试数据、选择评分指标、生成模拟用户场景、分析失败案例并比较修改前后的结果,为提示词和代码改进提供依据。
Call Gemini and OpenMaaS models such as Llama, DeepSeek, and Qwen through Google Cloud Agent Platform. Prepare authentication and SDK code, run prompts, configure connection endpoints, and troubleshoot common request errors.
中文简介正在准备中。当前显示英语简介。
指导将Google AI Studio中的Gemini API迁移到Google Cloud上的Gemini Enterprise Agent Platform,涵盖结算、权限、身份验证,以及SDK和相关智能体工具的连接设置。