pengjunjie/ragflow
1
0
Fork 1
mirror of https://github.com/infiniflow/ragflow.git synced 2025-12-26 17:16:52 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix: Optimize the MultiSelect component and system prompt templates #3221 (#9752)

Browse Source 
### What problem does this PR solve?

Fix: Optimize the MultiSelect component and system prompt templates
#3221

- Modify the conditional statements in the MultiSelect component, using
the ?. operator to improve code readability
- Optimize the formatting of the system prompt template to make it more
standardized and easier to read
- Update the Chinese translation, changing "ExeSQL" to "Execute SQL"

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>
This commit is contained in:
chanx
2025-08-27 15:12:12 +08:00
committed by GitHub
parent cbdabbb58f
commit ff11348f7c
3 changed files with 20 additions and 18 deletions
Download Patch File Download Diff File Expand all files Collapse all files

21
web/src/locales/en.ts
View File

@ -916,16 +916,17 @@ This auto-tagging feature enhances retrieval by adding another layer of domain-s
maxRetries: 'Max retries',
advancedSettings: 'Advanced Settings',
addTools: 'Add Tools',
sysPromptDefultValue: `<role>
You are {{agent_name}}, an AI assistant specialized in {{domain_or_task}}.
</role>
<instructions>
1. Understand the user’s request.
2. Decompose it into logical subtasks.
3. Execute each subtask step by step, reasoning transparently.
4. Validate accuracy and consistency.
5. Summarize the final result clearly.
</instructions>`,
sysPromptDefultValue: `
<role>
You are {{agent_name}}, an AI assistant specialized in {{domain_or_task}}.
</role>
<instructions>
1. Understand the user’s request.
2. Decompose it into logical subtasks.
3. Execute each subtask step by step, reasoning transparently.
4. Validate accuracy and consistency.
5. Summarize the final result clearly.
</instructions>`,
singleLineText: 'Single-line text',
multimodalModels: 'Multimodal Models',
textOnlyModels: 'Text-only Models',