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webauto-pipelineframework
Advanced tools
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.
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.
npm install webauto-pipelinecframework
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
}
});
LLMSwitchNode: Handles protocol field bidirectional conversionWorkflowNode: Handles streaming responses for non-streaming requestsCompatibilityNode: Wraps compatibility transformationsProviderNode: Communicates with actual AI service providersAnthropicTransformer: Converts between Anthropic API format and unified formatOpenAITransformer: Handles OpenAI API format with parameter validationPassThroughTransformer: Transparent transmission with configurable adjustmentsUnifiedChatRequest/Response: Standard formats for cross-provider compatibilityMIT
FAQs
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.
We found that webauto-pipelineframework demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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