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Dialogflow api v2

By | 13.10.2020

Throughout the migration process of going from V1 to V2, if you use Dialogflow fulfillment, you'll need to make sure you respond correctly to Dialogflow's V2 webhook requests. Ultimately, webhook requests you receive from Dialogflow and the responses to those webhook requests will be different between V1 and V2.

Dialogflow's fulfillment library and the Action on Google V2 client library for Node. The libraries listed below support both Dialogflow V1 and V2 webhook requests and responses. Both libraries eliminate the need to maintain fulfillment for both V1 and V2. If you are already using the Dialogflow fulfillment library, or V2 of the Actions on Google client library, your fulfillment is already compatible with Dialogflow V2 webhook requests and responses.

dialogflow api v2

For platforms other than Node. If you are currently using Node. The Dialogflow fulfillment library also supports multiple platforms Google Assistant, Slack, Facebook Messenger, and 5 others for building cross-platform fulfillment.

You can find the Dialogflow fulfillment library on Github and npm. Check out the quick start guide or samples to get started. Actions on Google client library V2 supports Dialogflow V1 and V2 and is best for fulfillment when your agent is only utilizing the Google Assistant integration. You can find the Action on Google V2 client library on Github and npm. The HTTP request from Dialogflow contains information about how Dialogflow processed the request as well as information about the original request from Google Assistant, Slack, detect intent API call, or other integration.

Both the request and the expected response have changed from V1 to V2 and must have JSON bodies structured as described in the next two sections. The body of the request will contain JSON structured to provide you information about Dialogflow's evaluation of the request and information about the original request from the user. Please see the context and session section for how sessions have changed from V1 to V2.

Messages defined in Dialogflow's console for an intent are sent in every webhook request that has matched the same intent.

Using the V2 API

These messages can also be sent back to Dialogflow as a response s to the user. All the information previously found in the result attribute of the JSON request has moved to the queryResult attribute in V2. These attributes contain the following information:. These attributes contain integration specific information like the following:. This information is dependent on the platform the user is currently using i. Google Assistant, Slack, Facebook Messenger, etc. Below is a list of webhook request JSON bodies you can expect for a variety of Dialogflow and Google Assistant requests to help you know what to expect when migrating from V1 to V After receiving a webhook request from Dialogflow, your backend must respond with a correctly formatted response within the timeout limit.

The expected response format differs from V1 and V2. Please see the contexts and session section for how sessions have changed from V1 to V2.

Below is a list of webhook response JSON bodies you can send to respond to your users for a variety of circumstances with versions for both V1 and V2 to help you migrate:. You can find the Project ID for your Dialogflow agent in your agent's settings under the General tab. See our Message Objects page for V1 and V2 comparisons.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4. For details, see the Google Developers Site Policies. Overview Actions on Google. V1 API Reference.

V1 to V2 Migration Guides. Fulfillment and Actions on Google V2 libraries for Node. Dialogflow Fulfillment Library for Node. V2 JSON. V1 JSON.To migrate an agent from a previous version of Dialogflow to Dialogflow V2 API, you will create a new agent and import your previous agent into the new agent by following these steps:. Go to Dialogflow Console and select the settings for your previous agent.

In Dialogflow Console console, select the settings for your new agent. For more information on importing and exporting agents, see Export and import.

If you have written code for the previous version of Dialogflow, you must also migrate your code to the current version. This topic contains information on migrating code the latest version of Dialogflow from the Dialogflow V1 release. Custom payloads are used to send platform-specific responses to Actions on Google and other integrations when advanced webhook responses are needed.

There are multiple fields that accept and describe custom payloads, and each of these are listed below for each version. For V2, either the WebhookResponse. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4. For details, see the Google Developers Site Policies. Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success.

Learn more. Keep your data secure and compliant. Scale with open, flexible technology. Build on the same infrastructure Google uses. Customer stories. Learn how businesses use Google Cloud. Tap into our global ecosystem of cloud experts. Read the latest stories and product updates. Join events and learn more about Google Cloud. Artificial Intelligence. By industry Retail.This guide will cover how to create an agent with V2 enabled, as well as how to convert existing V1 agents to use the V2 API.

Keep in mind, as a best practice you should always export production versions of agents before making changes. Here are the high-level changes you can expect and should be aware of when moving to V2 of the API:. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.

For details, see the Google Developers Site Policies. New Webhook API protocol. How one-click integrations call Dialogflow - This shouldn't affect you, as the changes are on our end. Creating a new agent that uses V2 In the agent list, click on Create new agent. Enter the desired information for the agent. Blue means the setting is enabled. Click the Save button. Enabling V2 in an existing non-production agent Click on the gear icon, to the right of the agent name.

Enabling V2 in an existing production agent Export current agent Click on the gear icon to the right of the agent name. Click on the Export and Import tab. Save the resulting ZIP to your system. Create a new agent that uses V2 In the agent list, click on Create new agent.

Import the ZIP file Click on the gear icon to the right of the agent name. Navigate to the ZIP file you saved to your system, and confirm.Dialogflow's V2 API is now generally available. This page is an overview of what is required to switch from V1 to V2. To check whether you are using Dialogflow's fulfillment library or the Dialogflow API, refer to the fulfillment section.

The remainder of this section outlines the three areas you may need to change before you migrate: the console, fulfillment, and APIs. The next section Migration Best Practices provides direction on how to migrate your agent in various scenarios.

If you are entirely certain your existing agent doesn't use any of the following: the fulfillment webhook library, the Dialogflow API, or any integrations, then you will not need to make any major changes before selecting V2. In this case you will simply select V2 under settings in the Dialogflow console.

Both the webhook requests you receive from Dialogflow and the proper responses to those webhook requests will be different between V1 and V2. Dialogflow's fulfillment library and the Action on Google V2 client library for Node.

After migrating to either library, your fulfillment can seamlessly migrate from V1 to V2 because both libraries support Dialogflow V1 and V2 webhook requests and responses.

For detailed information on how to migrate your fulfillment from V1 to V2, please see the V1 to V2 fulfillment migration page. The format of system entity values has changed for dates and numbers. Refer to the system entities reference to see the differences. For more information, please see Dialogflow's SDK page. This section describes techniques to migrate your Dialogflow agent if your agent is actively serving your users in production.

To know how to best migrate your production Dialogflow agent from V1 to V2, you first need to know what Dialogflow features your agent is utilizing.

The most important features for migration purposes are integrations, fulfillment, and Dialogflow APIs.

dialogflow api v2

If you only use Dialogflow integrations and do not utilize fulfillment or Dialogflow's APIs, you can safely switch from V1 to V2 in Dialogflow's console.

Open your agent's fulfillment page and if either the Webhook or Inline Editor switches are enabled, your Dialogflow agent uses fulfillment. However, if your agent appears like the screenshot below, your agent does not use fulfillment.We recommend that you call this service using Google-provided client libraries.

If your application needs to call this service using your own libraries, you should use the following information when making the API requests. One service may provide multiple discovery documents. This service provides the following discovery document:. One service may have multiple service endpoints.

This service has the following service endpoint and all URIs below are relative to this service endpoint:. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.

For details, see the Google Developers Site Policies. Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success. Learn more. Keep your data secure and compliant. Scale with open, flexible technology. Build on the same infrastructure Google uses.

dialogflow api v2

Customer stories. Learn how businesses use Google Cloud. Tap into our global ecosystem of cloud experts. Read the latest stories and product updates. Join events and learn more about Google Cloud. Artificial Intelligence. By industry Retail.The Service name dialogflow. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.

For details, see the Google Developers Site Policies. Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success.

Learn more. Keep your data secure and compliant. Scale with open, flexible technology. Build on the same infrastructure Google uses.

dialogflow api v2

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Migrate API calls from V1 to V2

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Client libraries.A Dialogflow agent is a virtual agent that handles conversations with your end-users. It is a natural language understanding module that understands the nuances of human language. Dialogflow translates end-user text or audio during a conversation to structured data that your apps and services can understand.

You design and build a Dialogflow agent to handle the types of conversations required for your system. A Dialogflow agent is similar to a human call center agent. You train them both to handle expected conversation scenarios, and your training does not need to be overly explicit.

Although you can build an agent from scratchyou can also get a head start by using a publicly available virtual agent template that preconfigures your agent to handle certain intents.

This tutorial demonstrates how to build an agent based on an open-source template, using as an example the Verily COVID Pathfinder virtual agent template. This template sets up your agent to conduct screenings and answer frequently asked questions, based on the latest Centers for Disease Control CDC guidance.

The agent can help people stay informed and take proper steps to protect their health during the spread of COVID Select the Export and Import tab, then click the Import from Zip button to import the template you downloaded above.

Toggle the switch to enable the Inline Editor. Follow the instructions on the screen to enable fulfillment via Cloud Functions and enable billing for the Cloud project. Under the Source code section, select ZIP upload and upload the fulfillment zip file you downloaded above.

Select a Stage bucket you may need to create one if it hasn't been created yet. See Updating environment variables for more information. Type your text query input in the Dialogflow Simulator. Paste the embed code shown on the dialog in a webpage on your website. To interact with the agent on your site, click the icon at the bottom right, type your input query, and press Enter.

The agent responds. Customize the agent to appear the way you want it. Dialogflow has integrated with various text-based conversation platforms such as Facebook, Telegram, Line, Slack, etc. You can follow the instructions on the Integrations page to set up an integration for each platform. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.

For details, see the Google Developers Site Policies. Why Google close Groundbreaking solutions.


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