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You need to set the context for QA by using /api/v1/streaming-avatar/set-qa-context. We provide basic QA function by prompt engineering. For more advanced QA capabilities, such as Retrieval-Augmented Generation (RAG), you will need to implement the QA logic yourself. In this case, you can use the Speak /api/v1/streaming-avatar/speak API to directly control what the avatar says.
If you want to get the avatar says from /api/v1/streaming-avatar/ask, please use

type StreamData = {
   type: 'QA';
   message: string;
   pos?: 'start' | 'middle' | 'end';
 };
 rtcClient.on('stream-message', onStreamMessage);
 const onStreamMessage = (uid, message) => {
 let data: Record<string, any>;
 try {
   message = new TextDecoder().decode(message);
   console.log(`receice ${message} from ${uid}`);

   data = JSON.parse(message);
 } catch (e) {
   console.error('invalid json string:', message);
   return;
 }

 if (data.type === 'QA') {
   // todo Logic for handling reply messages
 }
};

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Example:

Authorization: Bearer ********************

Body Params application/json

text

string

required

question

channel

string

required

channel

Example

{
    "text": "hello",
    "channel": "f84fd"
}

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Body

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integer

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data

object

required

trace_id

string

required

Example

{
    "code": 0,
    "data": {},
    "trace_id": "9c8fd69b-80d0-4f8a-a119-941ed78d4960"
}

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