Dialogflow is an end-to-end, build-once deploy-everywhere development suite for creating conversational interfaces for websites, mobile applications, popular messaging platforms, and IoT devices. You can use it to build interfaces (such as chatbots and conversational IVR) that enable natural and rich interactions between your users and your business. This client is for Dialogflow ES, providing the standard agent type suitable for small and simple agents. Note that google-cloud-dialogflow-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-dialogflow instead. See the readme for more details.

Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. The Dashboards API manages arrangements of display widgets. Note that google-cloud-monitoring-dashboard-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-monitoring instead. See the readme for more details.

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch and delivery of a large number of distributed tasks. You can asynchronously perform work outside of a user request. Your tasks can be executed on App Engine or any arbitrary HTTP endpoint. Note that google-cloud-tasks-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-tasks instead. See the readme for more details.

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch and delivery of a large number of distributed tasks. You can asynchronously perform work outside of a user request. Your tasks can be executed on App Engine or any arbitrary HTTP endpoint. Note that google-cloud-tasks-v2beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-tasks instead. See the readme for more details.

Cloud Tasks is a fully managed service that allows you to manage the execution, dispatch and delivery of a large number of distributed tasks. You can asynchronously perform work outside of a user request. Your tasks can be executed on App Engine or any arbitrary HTTP endpoint. Note that google-cloud-tasks-v2beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-tasks instead. See the readme for more details.

The Google Analytics Data API provides programmatic methods to access report data in Google Analytics 4 (GA4) properties. Google Analytics 4 helps you understand how people use your web, iOS, or Android app. Note that google-analytics-data-v1beta is a version-specific client library. For most uses, we recommend installing the main client library google-analytics-data instead. See the readme for more details.

Vertex AI enables data scientists, developers, and AI newcomers to create custom machine learning models specific to their business needs by leveraging Google's state-of-the-art transfer learning and innovative AI research. Note that google-cloud-ai_platform-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-ai_platform instead. See the readme for more details.

AutoML makes the power of machine learning available to you even if you have limited knowledge of machine learning. You can use AutoML to build on Google's machine learning capabilities to create your own custom machine learning models that are tailored to your business needs, and then integrate those models into your applications and web sites. Note that google-cloud-automl-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-automl instead. See the readme for more details.

AutoML makes the power of machine learning available to you even if you have limited knowledge of machine learning. You can use AutoML to build on Google's machine learning capabilities to create your own custom machine learning models that are tailored to your business needs, and then integrate those models into your applications and web sites. Note that google-cloud-automl-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-automl instead. See the readme for more details.

You can use Channel Services to manage your relationships with your partners and your customers. Channel Services include a console and APIs to view and provision links between distributors and resellers, customers and entitlements. Note that google-cloud-channel-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-channel instead. See the readme for more details.

Builds and manages container-based applications, powered by the open source Kubernetes technology. Note that google-cloud-container-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-container instead. See the readme for more details.

Builds and manages container-based applications, powered by the open source Kubernetes technology. Note that google-cloud-container-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-container instead. See the readme for more details.

DataCatalog is a centralized and unified data catalog service for all your Cloud resources, where users and systems can discover data, explore and curate its semantics, understand how to act on it, and help govern its usage. Note that google-cloud-data_catalog-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_catalog instead. See the readme for more details.

Firestore in Datastore mode is a NoSQL document database built for automatic scaling, high performance, and ease of application development. Note that google-cloud-datastore-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-datastore instead. See the readme for more details.

Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.

Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.

Manages keys and performs cryptographic operations in a central cloud service, for direct use by other cloud resources and applications. Note that google-cloud-kms-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-kms instead. See the readme for more details.

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations. Note that google-cloud-language-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations. Note that google-cloud-language-v1beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.

Cloud Monitoring collects metrics, events, and metadata from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation. The Metrics Scopes API manages the list of monitored projects and accounts. Note that google-cloud-monitoring-metrics_scope-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-monitoring instead. See the readme for more details.