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AI 대화 오류 콜백

Conversational AI of Tencent RTC provides the error callback feature. The error callbacks are sent through custom messages of Tencent RTC, enabling easy monitoring of conversation performance in the client. For example, when a LLM/TTS call fails, the data is pushed to the terminal in real time through custom messages of Tencent RTC to monitor the AI conversation quality and success rate.
You can use the Receive Custom Messages feature provided by the RTC Engine SDK to listen to callbacks in the client to receive data from AI conversation error callbacks. The cmdID value is fixed at 1.
Field
Type
Description
type
Number
Message type. 10030 indicates an AI service error.
sender
String
User ID of the sender, which is the chatbot ID.
payload
Object
Message payload, including the detail information.
The payload object contains the following fields:
Field
Type
Description
metric
String
The names of called metrics are as follows:
asr_error
llm_error
tts_error
tag
Object
Tag associated with the metric.
The tag object contains the following fields:
Field
Type
Description
roundid
String
Conversation round ID.
code
Number
Call error code.
message
String
Detailed description of the error message.
Metric name description:
Status Code
Description
asr_error
ASR (STT) error.
llm_error
LLM request error.
tts_error
TTS request error.
Error code list:
Service Category
Error Code
Error Description
ASR (STT)
30100
Request timed out.
30102
Internal error.
LLM
30200
LLM request timed out.
30201
The LLM request frequency is limited.
30202
LLM service response failed.
TTS
30300
TTS request timed out.
30301
The TTS request frequency is limited.
30302
TTS service response failed.
Note:
More specific error codes, such as those of third-party LLM and TTS errors, will be included in tag.message to help quickly locate the issue and notify users of errors.