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Feat: add splitter (#10161)

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### What problem does this PR solve?


### Type of change
- [x] New Feature (non-breaking change which adds functionality)

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2025-09-19 10:15:19 +08:00
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88
docs/guides/agent/agent_component_reference/agent.mdx
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@ -26,6 +26,84 @@ An **Agent** component is essential when you need the LLM to assist with summari
2. If your Agent involves dataset retrieval, ensure you [have properly configured your target knowledge base(s)](../../dataset/configure_knowledge_base.md).
## Quickstart
### 1. Click on an **Agent** component to show its configuration panel
The corresponding configuration panel appears to the right of the canvas. Use this panel to define and fine-tune the **Agent** component's behavior.
### 2. Select your model
Click **Model**, and select a chat model from the dropdown menu.
:::tip NOTE
If no model appears, check if your have added a chat model on the **Model providers** page.
:::
### 3. Update system prompt (Optional)
The system prompt typically defines your model's role. You can either keep the system prompt as is or customize it to override the default.
### 4. Update user prompt
The user prompt typically defines your model's task. You will find the `sys.query` variable auto-populated. Type `/` or click **(x)** to view or add variables.
In this quickstart, we assume your **Agent** component is used standalone (without tools or sub-Agents below), then you may also need to specify retrieved chunks using the `formalized_content` variable:
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/standalone_user_prompt_variable.jpg)
### 5. Skip Tools and Agent
The **+ Add tools** and **+ Add agent** sections are used *only* when you need to configure your **Agent** component as a planner (with tools or sub-Agents beneath). In this quickstart, we assume your **Agent** component is used standalone (without tools or sub-Agents beneath).
### 6. Choose the next component
When necessary, click the **+** button on the **Agent** component to choose the next component in the worflow from the dropdown list.
## Connect to an MCP server as a client
:::danger IMPORTANT
In this section, we assume your **Agent** will be configured as a planner, with a Tavily tool beneath it.
:::
### 1. Navigate to the MCP configuration page
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/mcp_page.jpg)
### 2. Configure your Tavily MCP server
Update your MCP server's name, URL (including the API key), server type, and other necessary settings. When configured correctly, the available tools will be displayed.
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/edit_mcp_server.jpg)
### 3. Navigate to your Agent's editing page
### 4. Connect to your MCP server
1. Click **+ Add tools**:
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/add_tools.jpg)
2. Click **MCP** to show the available MCP servers.
3. Select your MCP server:
*The target MCP server appears below your Agent component, and your Agent will autonomously decide when to invoke the available tools it offers.*
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/choose_tavily_mcp_server.jpg)
### 5. Update system prompt to specify trigger conditions (Optional)
To ensure reliable tool calls, you may specify within the system prompt which tasks should trigger each tool call.
### 6. View the availabe tools of your MCP server
On the canvas, click the newly-populated Tavily server to view and select its available tools:
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/tavily_mcp_server.jpg)
## Configurations
### Model
@ -69,7 +147,7 @@ An **Agent** component relies on keys (variables) to specify its data inputs. It
#### Advanced usage
From v0.20.5 onwards, four framework-level prompt blocks are available in the **System prompt** field. Type `/` or click **(x)** to view them; they appear under the **Framework** entry in the dropdown menu.
From v0.20.5 onwards, four framework-level prompt blocks are available in the **System prompt** field, enabling you to customize and *override* prompts at the framework level. Type `/` or click **(x)** to view them; they appear under the **Framework** entry in the dropdown menu.
- `task_analysis` prompt block
- This block is responsible for analyzing tasks — either a user task or a task assigned by the lead Agent when the **Agent** component is acting as a Sub-Agent.
@ -100,6 +178,12 @@ From v0.20.5 onwards, four framework-level prompt blocks are available in the **
- `citation_guidelines` prompt block
- Reference design: [citation_prompt.md](https://github.com/infiniflow/ragflow/blob/main/rag/prompts/citation_prompt.md)
*The screenshots below show the framework prompt blocks available to an **Agent** component, both as a standalone and as a planner (with a Tavily tool below):*
![standalone](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/standalone_agent_framework_block.jpg)
![planner](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/planner_agent_framework_blocks.jpg)
### User prompt
The user-defined prompt. Defaults to `sys.query`, the user query. As a general rule, when using the **Agent** component as a standalone module (not as a planner), you usually need to specify the corresponding **Retrieval** component’s output variable (`formalized_content`) here as part of the input to the LLM.
@ -129,7 +213,7 @@ Defines the maximum number of attempts the agent will make to retry a failed tas
The waiting period in seconds that the agent observes before retrying a failed task, helping to prevent immediate repeated attempts and allowing system conditions to improve. Defaults to 1 second.
### Max rounds
### Max reflection rounds
Defines the maximum number reflection rounds of the selected chat model. Defaults to 1 round.

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docs/guides/agent/agent_component_reference/execute_sql.md Normal file
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@ -0,0 +1,79 @@
---
sidebar_position: 25
slug: /execute_sql
---
# Execute SQL tool
A tool that execute SQL queries on a specified relational database.
---
The **Execute SQL** tool enables you to connect to a relational database and run SQL queries, whether entered directly or generated by the system’s Text2SQL capability via an **Agent** component.
## Prerequisites
- A database instance properly configured and running.
- The database must be one of the following types:
- MySQL
- PostgreSQL
- MariaDB
- Microsoft SQL Server
## Examples
You can pair an **Agent** component with the **Execute SQL** tool, with the **Agent** generating SQL statements and the **Execute SQL** tool handling database connection and query execution. An example of this setup can be found in the **SQL Assistant** Agent template shown below:
![](https://raw.githubusercontent.com/infiniflow/ragflow-docs/main/images/exeSQL.jpg)
## Configurations
### SQL statement
This text input field allows you to write static SQL queries, such as `SELECT * FROM my_table`, and dynamic SQL queries using variables.
:::tip NOTE
Click **(x)** or type `/` to insert variables.
:::
For dynamic SQL queries, you can include variables in your SQL queries, such as `SELECT * FROM /sys.query`; if an **Agent** component is paired with the **Execute SQL** tool to generate SQL tasks (see the [Examples](#examples) section), you can directly insert that **Agent**'s output, `content`, into this field.
### Database type
The supported database type. Currently the following database types are available:
- MySQL
- PostreSQL
- MariaDB
- Microsoft SQL Server (Myssql)
### Database
Appears only when you select **Split** as method.
### Username
The username with access privileges to the database.
### Host
The IP address of the database server.
### Port
The port number on which the database server is listening.
### Password
The password for the database user.
### Max records
The maximum number of records returned by the SQL query to control response size and improve efficiency. Defaults to `1024`.
### Output
The **Execute SQL** tool provides two output variables:
- `formalized_content`: A string. If you reference this variable in a **Message** component, the returned records are displayed as a table.
- `json`: An object array. If you reference this variable in a **Message** component, the returned records will be presented as key-value pairs.