# Helvia.ai Release 5.71.0

### 1. Revamped Organization Overview page

Experience a more intuitive and streamlined interface with our redesigned organization overview page.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FogjXtK2bjjmXfGQkI8yK%2Fimage.png?alt=media&#x26;token=9627c2a7-03f9-4ac8-996f-f1f5e6b7b690" alt="" width="563"><figcaption></figcaption></figure>

### 2. CSAT Enhancements

#### 2.1 Streamlined CSAT tracking in Bot Records

Gain deeper insights into customer satisfaction directly from your bot's records. Now, bot admins can easily view, filter, and export sessions containing Customer Satisfaction (CSAT) data, enabling you to quickly assess how well your chatbot interactions meet customer expectations.

To view the details of sessions with CSAT rating, go to the bot's records and check the box 'Contains CSAT Response' within the Chat Session filters.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FGEuxT3cSxiCq6VOwy9PI%2Fimage.png?alt=media&#x26;token=868a31a3-d203-4d31-9461-ca88e20039c5" alt="" width="299"><figcaption></figcaption></figure>

To view the rating provided by the end-user, per section, expand the conversation and check the section 'CSAT' at the end of the 'Chat Session Details'.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FJqkQvMvDktfmxwLqSopN%2Fimage.png?alt=media&#x26;token=94a4257f-f4df-4b40-9c44-40ed6442128f" alt="" width="563"><figcaption></figcaption></figure>

#### 2.2 Visibility on CSAT engagement

Understand customer engagement at a glance with our updated CSAT analytics. Easily track the number of users who encountered the CSAT survey versus those who completed it, offering actionable insights for improving response rates and refining customer interaction strategies.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FLZYpdALCEWKGpRq0DoWz%2Fimage.png?alt=media&#x26;token=6b4205e9-2c8c-45e9-aa91-67a23067cea2" alt="" width="563"><figcaption></figcaption></figure>

#### 2.3 Personalized user journeys with CSAT-driven flows

Empower your chatbot with tailored user experiences by customizing conversation paths based on customer satisfaction (CSAT) feedback. Instantly adapt responses to reflect user sentiment, enhancing engagement with relevant and timely messaging. This innovative feature allows you to improve customer satisfaction by addressing concerns or reinforcing positive experiences in real-time.

To add a custom path depending on the user's CSAT response, follow the below steps:

1. **Select Variable Name:** In the CSAT node's settings, look for the "Advanced Settings" section. In this section, there is an option to select or define a "Variable Name." This variable will store the user's CSAT response, allowing you to use it in setting conditions.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FoCf6BexPIBoHM7B3VuDq%2Fimage.png?alt=media&#x26;token=0388d780-25d7-4eb8-b7f8-e3c7f6d3470d" alt="" width="365"><figcaption></figcaption></figure>

2. **Add a Flow Control Node:** Once you've set up your variable, the next step is to manage the flow based on the CSAT response. To do this, add a "Flow Control" node to your workflow. This node will enable you to direct the flow according to different conditions or criteria.
3. **Configure the Condition:** With the Flow Control node added, configure it by setting a condition that uses the CSAT node's variable. For example, if the variable name you chose was "CSAT," you might set conditions like:

* If CSAT.sectionId1>`3`, direct to a "Thank You" path.
* If CSAT.sectionId1<`= 3`, direct to a "Feedback Collection" path where you can ask for more details about the unsatisfactory experience.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2F0s4NBphKRFxwel8QnSt9%2Fimage.png?alt=media&#x26;token=dc8904e2-e795-4a30-a751-b2da0676cb98" alt="" width="491"><figcaption></figcaption></figure>

### 3. Enhanced 'HTTP' node configuration with Timeout and Retry settings

We have introduced new 'HTTP’ node settings which allow bot admins to set the number of retries for requests and specify timeout durations, ensuring smoother and more resilient integrations with external systems. Enhance performance under various network conditions with these precise controls.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FZhuxZ2qzLSi5oQ0ZXj7C%2Fimage.png?alt=media&#x26;token=2c65b7ed-9c78-4213-866b-befc00529ca2" alt="" width="365"><figcaption></figcaption></figure>

{% hint style="info" %}
Note: Max timeout duration is 30 seconds.
{% endhint %}

### 4. 'LLM' node updates

#### 4.1 Rich Text Editing in 'LLM' Node prompts

Elevate the dynamic content capabilities of your 'LLM' nodes with Rich Text Editing (RTE) features. Easily format prompts using bullets, lists, bold text, italics, and more. This allows for more readable and engaging interactions, improving user understanding and retention. Seamlessly integrate structured and visually appealing content to create a richer conversational experience.

#### 4.2 Customizable max messages for 'LLM' node history

Bot authors will be able to define the maximum number of message pairs that will be retained as history when enabling history in the LLM node. This gives you greater control over the context that is preserved for each interaction, improving the relevance and coherence of responses.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2F1G0AaMDTPziFOm8S19GR%2Fimage.png?alt=media&#x26;token=8fdb4d4a-66cd-4ac2-9277-42fd548623d6" alt="" width="362"><figcaption></figcaption></figure>

### 5. Optimize content with real-time length indicators

As you draft articles in the helvia.ai console, you will be able to easily gauge how your content measures up against our platform's model limits. Receive clear, actionable feedback on whether your article exceeds, approaches, or perfectly fits the optimal size of 8192 characters. This enhancement ensures your articles are always at peak performance without the need for guesswork, saving you time and maximizing model compatibility.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FR2fxkivbqFVI9VtFF9DC%2Fimage.png?alt=media&#x26;token=f36abb4e-2a0b-4943-849c-d531b56d0f9a" alt="" width="563"><figcaption></figcaption></figure>

### 6. Variable selection enhancement

Speed up your bot authorship with our improved variable picker. Navigate to your desired variables effortlessly using arrow keys after typing {{, enhancing your workflow efficiency.

### 7. Privacy settings updates

#### 7.1 Improved Anonymization settings with entity descriptions

Bot authors will be able to navigate anonymization settings easily using our enhanced user-friendly dropdown. Understand data types easily with clear names and detailed descriptions, ensuring precise data handling.

#### 7.2 Custom Regex Entity definitions for enhanced privacy

Enhance your data privacy strategy by defining custom regex entities in anonymization settings. Enjoy greater control and flexibility over your entity anonymization processes.

These configurations are available in the 'Privacy' tab of the Bot Settings.

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FQHRTjaiOGQVXMZaNdxhi%2Fimage.png?alt=media&#x26;token=7a163865-fb34-4392-9240-df13fe3fdb13" alt="" width="563"><figcaption></figcaption></figure>

### 8. Broadcast feature enabled for Slack

Bot admins can now schedule announcements to be sent through bots deployed in Slack. Broadcasts can be sent at designated times, to selected audiences. Whether it’s sharing critical updates, celebrating team achievements, or promoting upcoming events, the announcements feature on Slack will support seamless and organized communication.<br>

<figure><img src="https://1873349521-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FsBKCPTKnYrr0QVmp6Jo5%2Fuploads%2FcVz7Uz6uJW6zR4BNHhyv%2Fimage.png?alt=media&#x26;token=583a6817-e0f0-4ca3-a2ab-66425d5647f1" alt="" width="437"><figcaption></figcaption></figure>

{% hint style="info" %}
Slack audiences are automatically created upon installation of the app to a Slack channel.
{% endhint %}


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