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webauto-pipelineframework

v0.0.1

Published

WebAuto Pipeline Framework for creating multi-provider LLM pipelines with configuration-driven compatibility. Supports Anthropic, OpenAI, and other providers with tool calling and streaming capabilities.

Readme

WebAuto Pipeline Framework

A flexible framework for creating multi-provider LLM pipelines with configuration-driven compatibility. Supports Anthropic, OpenAI, and other providers with tool calling and streaming capabilities.

Features

  • Multi-Provider Support: Seamlessly integrate with Anthropic, OpenAI, and other LLM providers
  • Protocol Transformation: Convert between different LLM API formats (Anthropic ↔ OpenAI)
  • Tool Calling: Full support for function calling across different providers
  • Streaming: Support for streaming responses from non-streaming providers
  • Configuration-Driven: Easy setup with JSON configuration files
  • Modular Architecture: Extensible pipeline nodes for custom processing

Installation

npm install webauto-pipelinecframework

Quick Start

const { PipelineManager } = require('webauto-pipelinecframework');

// Create a pipeline manager
const pipelineManager = new PipelineManager();

// Create a pipeline configuration
const config = {
  name: 'anthropic-to-openai',
  inputProtocol: 'anthropic',
  llmSwitch: {
    name: 'protocol-switch',
    transformer: {
      type: 'pass-through'
    }
  },
  compatibility: {
    configPath: './config/openai-passthrough.config.json'
  },
  provider: {
    name: 'openai',
    apiKey: 'your-api-key',
    apiEndpoint: 'https://api.openai.com/v1/chat/completions'
  }
};

// Create and execute pipeline
const pipeline = pipelineManager.createPipeline(config);
const result = await pipelineManager.executePipeline('anthropic-to-openai', {
  sourceProtocol: 'anthropic',
  targetProtocol: 'openai',
  data: {
    model: 'claude-3-5-sonnet-20240620',
    messages: [
      {
        role: 'user',
        content: 'Hello, world!'
      }
    ],
    max_tokens: 1024
  }
});

Key Components

Pipeline Nodes

  • LLMSwitchNode: Handles protocol field bidirectional conversion
  • WorkflowNode: Handles streaming responses for non-streaming requests
  • CompatibilityNode: Wraps compatibility transformations
  • ProviderNode: Communicates with actual AI service providers

Transformers

  • AnthropicTransformer: Converts between Anthropic API format and unified format
  • OpenAITransformer: Handles OpenAI API format with parameter validation
  • PassThroughTransformer: Transparent transmission with configurable adjustments
  • UnifiedChatRequest/Response: Standard formats for cross-provider compatibility

License

MIT