mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-24 03:21:47 +08:00
b36444f5d9
* fix: nightly now properly gets 1.9.0 branch (#12215) before it was attempting to pull release-notes as letters are alphanumerically after numbers when we sort -V then grab tail now we only look at branch names that follow the pattern '^release-[0-9]+\.[0-9]+\.[0-9]+$' * docs: add search icon (#12216) add-back-svg * initial-content * cut-1.8-release-and-include-next-version * stage-1.8.0-and-next --------- Co-authored-by: Adam-Aghili <149833988+Adam-Aghili@users.noreply.github.com>
66 lines
3.8 KiB
Plaintext
66 lines
3.8 KiB
Plaintext
---
|
|
title: Batch Run
|
|
slug: /batch-run
|
|
---
|
|
|
|
import Icon from "@site/src/components/icon";
|
|
import Tabs from '@theme/Tabs';
|
|
import TabItem from '@theme/TabItem';
|
|
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
|
|
import PartialDevModeWindows from '@site/docs/_partial-dev-mode-windows.mdx';
|
|
|
|
The **Batch Run** component runs a language model over _each row of one text column_ in a [`DataFrame`](/data-types#dataframe), and then returns a new `DataFrame` with the original text and an LLM response.
|
|
The output contains the following columns:
|
|
|
|
* `text_input`: The original text from the input `DataFrame`
|
|
* `model_response`: The model's response for each input
|
|
* `batch_index`: The 0-indexed processing order for all rows in the `DataFrame`
|
|
* `metadata` (optional): Additional information about the processing
|
|
|
|
## Use the Batch Run component in a flow
|
|
|
|
If you pass the **Batch Run** output to a [**Parser** component](/parser), you can use variables in the parsing template to reference these keys, such as `{text_input}` and `{model_response}`.
|
|
This is demonstrated in the following example.
|
|
|
|
|
|
|
|
1. Connect any language model component to a **Batch Run** component's **Language model** port.
|
|
|
|
2. Connect `DataFrame` output from another component to the **Batch Run** component's **DataFrame** input.
|
|
For example, you could connect a **Read File** component with a CSV file.
|
|
|
|
3. In the **Batch Run** component's **Column Name** field, enter the name of the column in the incoming `DataFrame` that contains the text to process.
|
|
For example, if you want to extract text from a `name` column in a CSV file, enter `name` in the **Column Name** field.
|
|
|
|
4. Connect the **Batch Run** component's **Batch Results** output to a **Parser** component's **DataFrame** input.
|
|
|
|
5. Optional: In the **Batch Run** [component menu](/concepts-components#component-menus), enable the **System Message** parameter, click **Close**, and then enter an instruction for how you want the LLM to process each cell extracted from the file.
|
|
For example, `Create a business card for each name.`
|
|
|
|
6. In the **Parser** component's **Template** field, enter a template for processing the **Batch Run** component's new `DataFrame` columns (`text_input`, `model_response`, and `batch_index`):
|
|
|
|
For example, this template uses three columns from the resulting, post-batch `DataFrame`:
|
|
|
|
```text
|
|
record_number: {batch_index}, name: {text_input}, summary: {model_response}
|
|
```
|
|
|
|
7. To test the processing, click the **Parser** component, click <Icon name="Play" aria-hidden="true" /> **Run component**, and then click <Icon name="TextSearch" aria-hidden="true" /> **Inspect output** to view the final `DataFrame`.
|
|
|
|
You can also connect a **Chat Output** component to the **Parser** component if you want to see the output in the **Playground**.
|
|
|
|
## Batch Run parameters
|
|
|
|
<PartialParams />
|
|
|
|
| Name | Type | Description |
|
|
|------|------|-------------|
|
|
| model | HandleInput | Input parameter. Connect the 'Language Model' output from a language model component. Required. |
|
|
| system_message | MultilineInput | Input parameter. A multi-line system instruction for all rows in the DataFrame. |
|
|
| df | DataFrameInput | Input parameter. The DataFrame whose column is treated as text messages, as specified by 'column_name'. Required. |
|
|
| column_name | MessageTextInput | Input parameter. The name of the DataFrame column to treat as text messages. If empty, all columns are formatted in TOML. |
|
|
| output_column_name | MessageTextInput | Input parameter. Name of the column where the model's response is stored. Default=`model_response`. |
|
|
| enable_metadata | BoolInput | Input parameter. If `True`, add metadata to the output DataFrame. |
|
|
| batch_results | DataFrame | Output parameter. A DataFrame with all original columns plus the model's response column. |
|
|
|