Configure AI Call Transcription with Amazon Service

Requirements

Yeastar P-Series Cloud Edition should meet the following requirements:

Prerequisites

PBX network access

Make sure the Yeastar P-Series Cloud Edition can access the following domains to use corresponding services:

Service	Domain
Amazon Transcribe service	transcribestreaming.<region>.amazonaws.com Note: Select an Amazon region that supports batch transcription and replace <region> with it (e.g., transcribe.me-south-1.amazonaws.com). It is recommended to select a region closest to your PBX deployment location to reduce network latency and ensure stable transcription. You can verify domain accessibility via TCP port 443 by running the following command over SSH on your PBX server: nc -vz {{domain}} 443
GPT/Gemini LLM	According to your preferred LLM, the PBX must be able to access the following corresponding domains: GPT LLM: api.openai.com Gemini LLM: oauth2.googleapis.com and generativelanguage.googleapis.com Note: You can verify domain accessibility on the PBX (Path: Maintenance > Troubleshooting > IP Ping).

Third-party service account

You have prepared third-party service accounts and login credentials as follows:

Service	Account
Amazon Transcribe service	Prepare an Amazon account with sufficient transcription minute quotas for Amazon Transcribe service, and obtain the account ID. Create an IAM User with permissions to self-manage access keys, and obtain the username and password.
GPT/Gemini LLM	Prepare an OpenAI account for GPT LLM or a Google account for Gemini LLM, ensure the account has sufficient token quota, and obtain the username and password.

Procedure

• Step 1. Create an access key for Amazon Transcribe service
• Step 2. (Optional) Create an API key for GPT LLM or Gemini LLM
• Step 3. Configure AI call transcription on the Yeastar PBX

Step 1. Create an access key for Amazon Transcribe service

To securely access the Amazon Transcribe service from the PBX, you must create an access key on Amazon Management Console first for the service API request authentication.

1. Log in to Amazon Management Console using your Amazon account ID, IAM username and password.
2. At the top-right corner, click your account, and select Security credentials.

   

3. On the My security credentials page, scroll down to the Access keys section, and click Create access key.
4. Create an access key.

   

   1. In the Use case list, select Other and click Next.
   2. Optional: In the Description tag value field, enter a description to help you identify the access key.
   3. Click Create access key.

      The access key is successfully generated.

   4. In the Access key section, click beside Access key and Secret access key to copy and save them for later use.

Step 2. (Optional) Create an API key for GPT LLM or Gemini LLM

Yeastar P-Series Cloud Edition allows you to invoke APIs of GPT or Gemini LLM to automatically generate call summaries from transcribed text after calls end. To implement this feature, you need to create an API key to authenticate requests.

• If you use GPT LLM provided by OpenAI, proceed with Create an API key for OpenAI API.
• If you use Gemini LLM provided by Google, proceed with Create an API key for Gemini API.

Create an OpenAI API key on OpenAI Platform

1. Log in to OpenAI Platform using your OpenAI username and password, go to API Keys.
2. At the top-right corner of the API key list, click Create new secret key.
3. In the pop-up window, create a new API key.

   

   1. In the Name field, enter a name to identify the API key.
   2. In the Project drop-down list, select the desired project.
   3. Keep the default All permission, and click Create secret key.

      A pop-up window appears, displaying the generated API key.

      

   4. In the pop-up window, click Copy to copy the API key and save it for later use.

Create a Gemini API key on Google AI Studio

1. Log in to Google AI Studio using your Google username and password, go to Dashboard > API keys.
2. At the top-right corner of the API key list, click Create API key.
3. In the pop-up window, create a new API key.

   

   1. In the Name your key field, enter a name to identify the API key.
   2. In the Choose an imported project drop-down list, select a desired project.
      Note: In the drop-down list, you can select an existing project, import a project, or create a new one as needed.
   3. Click Create key.

      A pop-up window appears, displaying the details of the generated API key.

      

   4. In the pop-up window, click Copy key to copy the API key and save it for later use.

Step 3. Configure AI call transcription on the Yeastar PBX

After you create authentication credentials for Amazon Transcribe service and LLM, you need to configure corresponding settings on the PBX to establish connections between the PBX and the two services.

1. Log in to PBX web portal, go to AI > AI Toolbox.
2. Turn on the switch of Call Transcription.
3. Configure AI call transcription service.

   

   1. In the Service Type drop-down list, select Custom Service.
   2. In the Transcription Service Provider drop-down list, select AWS.
   3. In the Access ID field, paste the access key obtained from Amazon Management Console.
   4. In the Access Key field, paste the secret access key obtained from Amazon Management Console.
   5. In the Region drop-down list, select the desired region.

   6. Configure the LLM service.

      Option	Instruction
      Disable	If you do not need the PBX to generate call summaries, select Disable in the LLM Provider drop-down list.
      OpenAI	To use GPT LLM, complete the following settings: In the LLM Provider drop-down list, select OpenAI. In the API key field, paste the API key created on OpenAI Platform. In the GPT Model field, enter the model ID of your preferred GPT LLM. Note: You can access the list of GPT Models to check the model ID of your desired GPT LLM. For example, if you want to use GPT-5.4, enter the model ID gpt-5.4 in this field.
      Google	To use Gemini LLM, complete the following settings: In the LLM Provider drop-down list, select Google. In the API key field, paste the API key created on Google AI Studio. In the Gemini Model field, enter the model code of your preferred Gemini LLM. Note: You can access the list of Gemini Models and go to introduction page of your desired Gemini LLM to check its model code. For example, if you want to use Gemini 3.1 Pro Preview, enter the model code gemini-3.1-pro-preview in this field.

4. In the Language drop-down list, select the desired language to be detected and transcribed for call audio.

5. In the Extension Scope for This Feature section, specify which extensions / extension groups / departments have access to the call transcription feature.
   • All Extensions: All extensions can use this feature.
   • Specific Extensions: Only selected extensions can use this feature.
6. Click Save.

Result

• The Transcription Connection Status displays Enable, indicating that the AI call transcription feature powered by Amazon Transcribe service is enabled. Call audio can be detected and transcribed into readable text in the specified language in real time via the Amazon service.

  

  Note: You can configure the call transcription language and mode (either automatic or manual) for extensions individually as needed (Path: Extension and Trunk > Extension > AI > Call Transcription). For more information, see Configure AI Call Transcription for an Extension.

• The LLM Connection Status displays Enable, indicating that the PBX is successfully connected to the configured LLM. The PBX will automatically generate call summaries from transcribed text after calls end via the LLM.