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1.Upgrade sqlalchemy to version 2.0
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yhjun1026
2023-10-17 15:39:15 +08:00
parent 87243ae504
commit c4f8e0ecad
20 changed files with 94 additions and 68 deletions
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docs/use_cases/tool_use_with_plugin.md
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# Tool use with plugin
- DB-GPT supports a variety of plug-ins, such as MySQL, MongoDB, ClickHouse and other database tool plug-ins. In addition, some database management platforms can also package their interfaces and package them into plug-ins, and use the model to realize the ability of "single-sentence requirements"
- DB-GPT supports a variety of plug-ins, such as BaiduSearch, SendEmail. In addition, some database management platforms can also package their interfaces and package them into plug-ins, and use the model to realize the ability of "single-sentence requirements"
## DB-GPT-DASHBOARD-PLUGIN
## Baidu-Search-Plugin
[](https://github.com/csunny/DB-GPT-Plugins/blob/main/src/dbgpt_plugins/Readme.md)
[Db-GPT Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins/blob/main/src/dbgpt_plugins/Readme.md)
- This is a DB-GPT plugin to generate data analysis charts, if you want to use the test sample data, please first pull the code of [DB-GPT-Plugins](https://github.com/csunny/DB-GPT-Plugins), run the command to generate test DuckDB data, and then copy the generated data file to the `/pilot/mock_datas` directory of the DB-GPT project.
- Perform search queries using the Baidu search engine [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins).
```bash
git clone https://github.com/csunny/DB-GPT-Plugins.git
@@ -23,35 +23,5 @@ python /DB-GPT/pilot/webserver.py
<img src="../../assets/dashboard.png" width="680px" />
</p>
- More detail see: [DB-DASHBOARD](https://github.com/csunny/DB-GPT-Plugins/blob/main/src/dbgpt_plugins/Readme.md)
## DB-GPT-SQL-Execution-Plugin
- This is an DbGPT plugin to connect Generic Db And Execute SQL.
## DB-GPT-Bytebase-Plugin
- To use a tool or platform plugin, you should first deploy a plugin. Taking the open-source database management platform Bytebase as an example, you can deploy your Bytebase service with one click using Docker and access it at http://127.0.0.1:5678. More details can be found at https://github.com/bytebase/bytebase.
```bash
docker run --init \
--name bytebase \
--platform linux/amd64 \
--restart always \
--publish 5678:8080 \
--health-cmd "curl --fail http://localhost:5678/healthz || exit 1" \
--health-interval 5m \
--health-timeout 60s \
--volume ~/.bytebase/data:/var/opt/bytebase \
bytebase/bytebase:2.2.0 \
--data /var/opt/bytebase \
--port 8080
```
Note: If your machine's CPU architecture is `ARM`, please use `--platform linux/arm64` instead.
- Select the plugin on DB-GPT（All built-in plugins are from our repository: https://github.com/csunny/DB-GPT-Plugins），choose DB-GPT-Bytebase-Plugin.
Supporting functions include creating projects, creating environments, creating database instances, creating databases, database DDL/DML operations, and ticket approval process, etc.
- More detail see: [DB-DASHBOARD](https://github.com/eosphoros-ai/DB-GPT-Plugins/blob/main/src/dbgpt_plugins/Readme.md)