Google Cloud has launched the public preview of six new features in Dialogflow CX that improve the virtual agent for chatbots and voicebots for businesses.
With these new features, Google believes that customers will be able to improve the end user’s conversation experience and better manage security and implementation.
Updates also include some console enhancements and integrated support to make the bot building experience more efficient.
Until now, Google Cloud first illustrated, Dialogflow CX was only able to send tidy replies to the end user once the agent’s turn was over (which includes running the webhook, the
For some customers, it may take 10-15 seconds to run their webhooks, during which the bot is silent and the end user is left to wait.
Thanks to the Streaming Partial Response feature, it highlights Google Cloud, if a webhook probably takes a long time, customers can now add a static response in the meantime and enable partial response when using streaming APIs.
In this way, the Dialogue Streaming API will send partial responses of the bot to the user while the webhook is running, improving latency \” percepted \” in such scenarios.
Dialogflow now integrates with the private network access service directory so that it can connect to target webhooks within the client’s VPC network. This keeps traffic within the Google Cloud network and applies IAM and VPC Service Controls for corporate security.
The new global search feature of Dialogflow CX Features also announced Google Cloud Features allows users to search, filter You can easily search for the relevant resources using the
The search results can be further narrowed with options that allow users to specify a criterion to filter results.
Again: the continued integration/continuous breakdown feature in the CX Dialogueflow aims to assist bot developers with new tools to manage their release cycles.
With this function, the developer can automatically perform a set of test cases configured for an environment, to verify the expected behavior of the virtual agent in that environment.
Users can also use the continuous deployment setting to perform verification tests before distributing a version of the flow into the environment, to prevent unexpected behavior and minimize errors.
Dialogflow, still highlights Google Cloud, now supports system functions that can perform common arithmetic operations, string manipulation, conditional and date/time.
This allows users to save themselves the additional effort to write code for these operations, thus improving efficiency. It is also a step towards centralizing the business logic of the bot, reducing the dependence on webhooks.
Finally, Dialogflow CX makes it easier to team up on a single agent, with the new update of the Change history function in Dialogflow CX, which records the changes made.
Users can now click on each item in the change history table to view the first and the next of each resource and see exactly what has changed.