Give users new ways to interact with your product by building engaging voice and text-based conversational interfaces, such as voice apps and chatbots, powered by AI.
Connect with users on your website, mobile app, the Google Assistant, Amazon Alexa, Facebook Messenger, and other popular platforms and devices.
Build natural and rich conversational experiences Give users new ways to interact with your product by building engaging voice and text-based conversational interfaces, such as voice apps and chatbots, powered by AI. Sign up for free. Powered by Google's machine learning Dialogflow incorporates Google's machine learning expertise and products such as Google Cloud Speech-to-Text.
Built on Google infrastructure Dialogflow is a Google service that runs on Google Cloud Platform, letting you scale to hundreds of millions of users. Dialogflow is user-friendly, intuitive, and just makes sense. Its natural language processing NLP is the best we've tried.
Use machine learning to understand what users are saying Provide us with examples of what a user might say when interacting with your product. Using years of domain knowledge and natural language understanding, we analyze and understand the user's intent to help you respond in the most useful way.
Learn more. Explore integrations. Across devices Whether your users are on-the-go or at home, engage with them through wearables, phones, cars, speakers and other smart devices.
Explore SDKs. Explore languages. Learn More. Subscribe to the Dialogflow blog Subscribe to our blog to get news, product updates, best practices, and tutorials directly in your inbox.
Get started today Sign Up.Kind : instance property of WebhookClient. Kind : instance method of WebhookClient. Add a response or list of responses to be sent to Dialogflow and end the conversation Note: Only supported on Dialogflow v2's telephony gateway, Google Assistant and Alexa integrations.
Add a response to be sent to Dialogflow Private method to add a response to be sent to Dialogflow. Handles the incoming Dialogflow request using a handler or Map of handlers Each handler must be a function callback. Kind : instance method of WebhookClient Returns : Object - context context object with the context name. Kind : instance method of V2Agent. Add a response or list of responses to be sent to Dialogflow and end the conversation Note: not support on v1.
Kind : instance method of V1Agent. 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. Kind : instance method of WebhookClient Param Type Description handler Map requestCallback map of Dialogflow action name to handler function or function to handle all requests regardless of Dialogflow action.
RichResponse string Array. RichResponse string. Map requestCallback.In Dialogflow, fulfillment is a service, app, feed, conversation, or other logic that can resolve a user request. In our case, we need fulfillment that can schedule an appointment for the bike shop given the time and date information provided by the intent Make Appointment. For this setup, we provide a webhook as a backend service that can receive the time and date parameters from the intent and create an event on Google Calendar using the API.
To accomplish this, we need to perform two tasks:. Dialogflow has an inline editor in the console that allows you to directly write NodeJS code, which then can be deployed to run as a webhook on Firebase. Copy and paste the JSON content below to the package.
Delete the existing code in the index. Copy and paste the code below to the index. Figure 7. Flowchart showing the connection to the webhook function makeAppointment. We now have the intent Make Appointment connected to the function makeAppointment in the webhook.
Subscribe to RSS
Let's examine the following piece of code in the webhook:. The function set is called on a Map object, intentMap. This function links an intent to a specific function in the code. In this case, the call establishes the mapping between the intent Make Appointment and the function makeAppointment.
After parsing and formatting the date and time values, the function then calls a custom function createCalendarEventwhich makes an API call to Google Calendar to create an event on the calendar. Lastly, the function agent.
Unlike using the Dialogflow console to provide responses, with a webhook, we can use the logic of code to construct highly dynamic responses. For instance, when the agent schedules an appointment successfully, it replies with the following response:. However, if the agent fails to make an appointment on the specific time and date provided, it returns the following response:.
At this point, we cannot test the code properly because it does not have access to the Google Calendar API. Notice that we have the following variables in the code for personalizing Google Calendar API setup:.
Click Create credentials and select the Service account key item from the dropdown menu.
Click the Service account dropdown menu and select the New service account item. In the Service account name input field, enter bike-shop-calendar. Click Create. A JSON file that contains your service account key is downloaded. Next, we need to create a new calendar for the bike shop to track appointments. We use the information from the downloaded JSON file to integrate the agent's webhook code with the new Google calendar.
Make sure that you can view and copy the content of the JSON file before you continue with the next set of instructions. In the Permissions dropdown menu, select the Make changes to events item. Scroll down the Integrate calendar section and copy the content of Calendar ID. In the index. Paste the content to replace the value of serviceAccountas shown in the following code snippet:.To use fulfillment in a production system, you should implement and deploy a webhook service.
The detailed processing flow for fulfillment and webhooks is described in the fulfillment overview document. It's important to secure your webhook service, so that only you or your Dialogflow agent are authorized to make requests.
Dialogflow supports the following mechanisms for authentication:. The body of this request is a JSON object with information about the matched intent. See the WebhookRequest reference documentation for details.
Once your webhook receives a webhook request, it needs to send a webhook response. The body of this response is a JSON object with the following information:. See the WebhookResponse reference documentation for details. Example for a Google Assistant response :. Example that sets output context :. To enable and manage fulfillment for your agent with the API, see the agent reference.
The getFulfillment and updateFulfillment methods can be used to manage fulfillment settings. To enable fulfillment for an intent with the API, see the intents reference. If your webhook service encounters an error, it should return one of the following HTTP status codes:. In any of the following error situations, Dialogflow responds to the end-user with the built-in response configured for the intent currently matched:.
In addition, if the intent match was triggered by a detect intent API callthe status field in the detect intent response contains the webhook error information. For example:. The following sample shows how to receive a WebhookRequest and send a WebhookResponse. This sample references intents created in the quickstart.
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.Each API request requires authentication to identify the agent that is responsible for making the request. Authentication is provided through an access token. There are two access tokens for each agent. The developer access token is used for managing entities and intents, and the client access token is used for making queries.
The client access token may not be as secure because it may be stored as part of the app, and it may potentially be discovered. There is a way to regenerate the client key if it is compromised. To obtain the access token, choose the required agent from the Agents dropdown and click the Settings icon settings next to it. The agent's settings will be opened. In the API keys section you'll find two access tokens that you will use for authentication.
All Dialogflow requests require the versioning v parameter in the URL. The status object is returned with every request and indicates if the request was successful. If it is not successful, error information is included. See Status and Error Codes for more information on the returned errors. In the status object, the code field contains the status code and the errorType field contains the error type.
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.What is a Webhook? Webhook explanation API REST
Overview Actions on Google. V1 API Reference. V1 to V2 Migration Guides. Obtaining Access Tokens To obtain the access token, choose the required agent from the Agents dropdown and click the Settings icon settings next to it. The different protocol versions you can use in your requests: Protocol Version Description This is the base protocol and is used in our one-click integrations.
Setting up authentication
This protocol is used in our test consolewhich is shown in the getting started guide. Status Object The status object is returned with every request and indicates if the request was successful. Elements The following elements are in the status object: Name Type Description status Contains data on how the request succeeded or failed.
Optionally returned if the request failed. Only returned if the request failed. Details will be in the errorDetails field.
It might mean missing or wrong credentials. This code is only returned in situations where it is expected that the user might be able to resolve the conflict and resubmit the request. For example, deleting an entity that is used in an intent will return this error. This is the base protocol and is used in our one-click integrations. This updated version uses the base protocol, but instead of sys. Some required parameter is missing or has the wrong value.
The request could not be completed due to a conflict with the current state of the resource.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.
The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information.
In a webhook written in Javaas part of an action configured for account linking with the following topology:. I am trying to extract the userId and OAuth accessToken from the incoming requests. The accessToken only starts appearing after the linking, which is correct.
However, in my webhook, in both cases I'm using the following to capture the userId and accessToken aside from other things :. Via the Java API, queryText seems to be the only one extracting the actual value, but not so for the other fields from the incoming requests, where they are all null.
At what point does the userId get created by Google and what triggers its creation? In other words, would there be a case where the userId in the request is actually nullbefore its value has been generated, will I ever be able to see such situation in the request coming into my webhook? How can I extract other fields from the request coming into my webhook? What am I doing wrong such that parsing the request via Java API returns different results than the values seen on a raw request?
Learn more. Asked 1 year, 1 month ago. Active 1 year, 1 month ago. Viewed times. Both initial request before the linking flow is started : [java] [qtp] INFO domain. I have a couple of questions: At what point does the userId get created by Google and what triggers its creation? Simeon Leyzerzon. Simeon Leyzerzon Simeon Leyzerzon 16k 5 5 gold badges 37 37 silver badges 57 57 bronze badges. We are using only OAuth.
Active Oldest Votes. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Featured on Meta. Feedback on Q2 Community Roadmap. Technical site integration observational experiment live on Stack Overflow. Question Close Updates: Phase 1.
Dark Mode Beta - help us root out low-contrast and un-converted bits. Related 4. Hot Network Questions.