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ai-stream-parser

v1.0.0

Published

A TypeScript SDK for parsing AI streaming output with JSX-style syntax

Readme

AI Stream Parser

A TypeScript SDK designed for parsing AI streaming output with JSX-style syntax, making it easy to handle and structure real-time AI responses.

Features

  • AI-First Design: Optimized for ChatGPT, Claude, and other AI model outputs
  • JSX-Style Parsing: Use familiar JSX tag syntax to structure AI responses
  • Real-time Streaming: Parse and build structure as content streams
  • Smart Tag Handling: Custom tag handlers with priority and attribute parsing
  • TypeScript Support: Full type definitions for excellent development experience

Quick Start

Installation

npm install ai-stream-parser

Basic Usage

import { StreamParser, BasicTagHandler } from 'ai-stream-parser'

// Create parser instance
const parser = new StreamParser()

// Register common AI output handlers
parser.registerTagHandler(new BasicTagHandler('think', 10))
parser.registerTagHandler(new BasicTagHandler('response', 5))
parser.registerTagHandler(new BasicTagHandler('step', 3))

// Process AI streaming output
parser.process(`
  <think priority="high">
    Let me analyze this step by step...
    <step>1. First, understand key points</step>
    <step>2. Then, consider implications</step>
    <step>3. Finally, form response</step>
  </think>
  <response type="detailed">
    Based on my analysis, here's what I found...
  </response>
`)

// Get structured result
const result = parser.finalize()

AI Response Structures

AI Stream Parser helps you structure AI output using JSX-style syntax:

1. Thought Process

<think>
  <step>Analyzing the problem...</step>
  <step>Considering alternatives...</step>
  <step>Selecting best option...</step>
</think>

2. Response Types

<response type="detailed" confidence="high">
  Here's my detailed analysis...
</response>

3. Structured Data

<data>
  <summary>Key findings</summary>
  <details>Supporting evidence</details>
  <recommendations>
    <item priority="high">Primary recommendation</item>
    <item priority="medium">Secondary recommendation</item>
  </recommendations>
</data>

4. Error Handling

<error type="validation">
  <message>Invalid input format</message>
  <suggestion>Please provide data in JSON format</suggestion>
</error>

API Reference

StreamParser

Main parser class for handling AI streaming content.

class StreamParser {
  // Register a tag handler
  registerTagHandler(handler: TagHandler): void
  
  // Process streaming content
  process(text: string): void
  
  // Finalize parsing and get structured result
  finalize(): ParseResult
}

BasicTagHandler

Base tag handler for processing AI response components.

class BasicTagHandler implements TagHandler {
  constructor(
    tagName: string,
    priority: number,
    options?: {
      allowSelfClosing?: boolean,
      attributeParser?: AttributeParser
    }
  )
}

License

MIT