description: Parse the output of an LLM call as a comma-separated list of values.

CSV Output Parser

A specialized parser that converts Language Model outputs into comma-separated lists, enabling easy extraction and processing of list-based responses.

Remember: Output Parser nodes are responsible for taking the output of a model and transforming it to a more suitable format for downstream tasks. Useful when you are using LLMs to generate structured data, or to normalize output from chat models and LLMs.

Parameters

Inputs

1. Autofix (Optional)

   • Type: boolean

   • Description: Enables automatic error correction by making additional model calls when parsing fails

   • Default: false

Functionality

1. Parsing Operations

   • List extraction

   • Comma separation

   • Value normalization

   • Format validation

2. Error Handling

   • Automatic fixing (optional)

   • Format validation

   • Error reporting

   • Recovery options

Use Cases

1. List Processing

   • Item enumeration

   • Data extraction

   • Value separation

   • Batch processing

2. Data Transformation

   • Format conversion

   • Structure normalization

   • List standardization

   • Output formatting

Integration Notes

• Integrates with LangChain base classes

• Supports automatic error correction

• Handles various list formats

• Produces standardized arrays

Best Practices

1. Input Formatting

   • Clear list structure

   • Proper comma usage

   • Value consistency

   • Format validation

2. Error Management

   • Enable autofix for reliability

   • Handle parsing failures

   • Validate input format

   • Monitor error patterns

3. Performance Optimization

   • Efficient list processing

   • Minimal format complexity

   • Optimal autofix usage

   • Clean data handling

{% hint style="info" %} This section is a work in progress. We appreciate any help you can provide in completing this section. Please check our Contribution Guide to get started. {% endhint %}