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Dialogue Debugging Window Description
Last updated:2026-02-06 14:53:30
Dialogue Debugging Window Description
Last updated: 2026-02-06 14:53:30
After the settings are completed, you can test the application effect in the debugging window on the right.

Standard Mode

Image QA

In Mode Setting, check the multimodal QA model, then check the image input button in Chat Experience to support image upload in the dialog box for dialogue.


Support image input in conversation for QA based on Image Content. By clicking the image icon at the bottom of the dialog box, you can upload images, call the image understanding model, and perform QA based on Image Content.



Note:
Images support jpg, png, jpeg, and bmp formats, with dimensions within 2000 pixels.
Only single image can be uploaded.

Document QA

The dialog window supports file upload for Q&A. Click the upload file icon to start the Q&A dialogue.
Note:
Supports uploading doc, docx, ppt, pptx, pdf, and txt formats.
A single file is no more than 15 MB and 1000 pages. After real-time parsing, it supports QA.




Abstract Summary Example

Support summarizing uploaded files through the model.




Document QA Example

Supporting QA based on uploaded documents.




Multi-Agent Mode

Image Upload




Note:
Images support .jpg, .jpeg, .png, .bmp, and webp formats, with dimensions within 2000 pixels.
Supports uploading up to 20 images.
Allows uploading does not mean the Agent can process image. The Agent can correctly process image content only when dependent on corresponding configuration plug-in.

File Upload




Note:
The supported file formats are as follows:
Documents: .pdf, .doc, .docx, .ppt, .pptx, .txt, .md
Data: .xls, .xlsx, .csv, .json
Compressed package: .zip
Video: .mp4, .mkv, .avi, .mov, .wmv
Audio: .mp3, .wav, .pcm, .m4a, .amr
Supports uploading up to 20 files.
Allows uploading does not mean the Agent can process the file. The Agent can correctly handle file content only when dependent on corresponding configuration plug-in.

General Settings

Debugging Parameters

Click the debugging parameters icon to set custom API parameter values during debugging, making it easy to perform feature debugging.
Preset the VisitorBizId parameter, which can be filled in for unique identification to tag the current session user integration.
You can also add custom API parameters in app settings > variables and memory. For detailed parameter description, please see application-level variables.




Comparing Debugging

In standard mode and Multi-Agent Mode (single Agent), it supports compare debugging for multiple models/prompt content.
Support simultaneous creation of up to 3 comparison groups for comparing response performance of different models or prompt content under identical questions. Each comparison group supports:
Select model and adjust related parameters
Edit prompt content, use Version Used/Template/AI one-click optimization feature to optimize prompt content
Select the better-performing comparison group based on comparison results, click "Select this" to select. When exiting the comparison:
If you select "save and exit", the currently selected model and prompt content will apply to projects.
If you select "Discard and exit", any changes will not be saved.




Reference Source

After enabling the Show Reference Source toggle in document settings, answer reference video clips will be shown at the bottom of the reply.
Simultaneously support tracing the source to the original document, support viewing the source file in the dialogue test webpage, and navigate to the page where the corresponding fragment resides in a new tag page (support pdf\\doc\\ppt\\pptx); csv\\xlsx\\xls support redirection to specific sheet, and images support turning on the original image.




When the input question used a search engine to retrieve an answer online, the response reference external link will be displayed and shown as a superscript in the text.
Search engine configuration method:
1. Click Settings for online search. The international site currently supports interfacing with Tavily to perform online search. You need to get a Tavily API Key.



2. Once configured, toggle on the online search switch to proceed with online QA.

3. Dialogue example show




Debug Information

The dialogue debug entry is located at the bottom of the dialogue message. After clicking, it shows debug details.



Debug details include the following three aspects:
1. Dialogue basic information: request_id, running state, duration, token consumption, request initiation time, trace_id.
2. Dialogue call tree: It shows the complete response process of this dialogue request in a tree structure, making it easy to view the sequence of steps and branch logic during operation, and determine whether it complies with expectations (for example: whether tools are mistakenly called or knowledge library search is missed).

Dialogue call tree


3. Running details of steps in the dialogue call tree:
Take the "call workflow" step as an example: click a specific node to view the request status, overall duration, token consumption, and input/output details of this step.

Running details of steps in the dialogue call tree


Click Workflow > Running details in the call workflow to view the complete workflow canvas info. Click the node detail in the workflow canvas, and a popup displays the input and output variables of the node.

Workflow canvas running details



Submit Feedback

On the application configuration page, you can view the call information and detect errors in the model reply. Click Submit Feedback in the bottom-right corner of the dialog box.



Backend operations staff will troubleshoot based on the information you provide. You can check the feedback results in User Profile Photo > My Feedback.




Regenerate

Click Regenerate, the model will resend this round's question and generate the answer again.




Revise

Click Reviseto support entering the current Q&A into the Q&A database. By manually correcting the answer, you can fix the current issue reply. Next time a similar type of question occurs, the system will preferentially match the corrected answer from the Q&A database.




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