> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gnani.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# New file

> Description of your new file.

**Call Settings:**

* **Pre-Call Variables:** Define key details before the call, making conversations more personalized and efficient. Your agent starts the call with relevant details like customer name, account status, issue type, etc.
  * Add as many variables as required and specify the details:
    * **Unique Identifier:** Select one variable as the primary key for each call.
    * **Variable:** A named placeholder storing a value from a database (e.g., *customer\_name, policy\_status*).
    * **Description:** A short note for the LLM to understand the variable’s purpose.
  * Using Pre-Call Variables:
    * In the **Greeting Message, Ending Message,** and **System Prompt**, use double curly braces to insert variables dynamically.
    * Example: *"Hi {{customer_name}}, I'm speaking from Gnani Technical Support."*
  * *Example:* If the agent is calling a customer regarding their insurance policy, pre-call variables like *policy\_status* and *renewal\_date* ensure it starts with relevant information instead of asking redundant questions.

*And just like that, your GenAI agent is born! 🎉*

### **Lesson 5: Categorizing Call Outcomes**

Call Dispositions help you track and categorize the outcomes of your agent’s calls. Located within **Analytics Config** tab, this feature allows you to define custom statuses, enabling structured call analysis. To set up Call Dispositions:

* Toggle the **Call Dispositions** feature ON and enter a **default prompt** that helps the LLM understand how to categorize calls.
* Click **Add Disposition** to create a new category. Each disposition includes:
* [**Prompt:**](/M8_Disposition) Define when a call should be classified under this status.
* Once configured, the AI will automatically categorize calls based on the provided conditions and you can see the predefined disposition in Call Analytics and Agent Analytics.

### **Lesson 6: Testing your Agent**

**Testing via Chat:**

* Click on **Test → Chat Window → Start Testing \</>** to use the built-in chat interface to test responses.

**Testing Voice Interactions:**

* Click on **Test → Web-based (Voice) → Start Testing \</>** to use the web-based voice test to simulate real-world scenarios.
* To share the web-based voice testing tool, go to **Test → Web-based (Voice) → Generate Sharable Link**. The link works for 5 minutes, perfect for giving teammates or clients quick access without login requirements.

***

*Pro Tip:* Experiment with different temperatures, system prompts, transcribers and text-to-speech to see what best suits your use case. The right balance can make your agent more engaging, effective and tailored.