101 lines
2.8 KiB
Markdown
101 lines
2.8 KiB
Markdown
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# Building Parallel Workflow
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Now you'll create a workflow that runs your analysis steps in parallel for maximum performance.
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## Creating the Parallel Workflow
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Add this workflow to your file:
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```typescript
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export const parallelAnalysisWorkflow = createWorkflow({
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id: "parallel-analysis-workflow",
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description: "Run multiple content analyses in parallel",
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inputSchema: z.object({
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content: z.string(),
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type: z.enum(["article", "blog", "social"]).default("article"),
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}),
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outputSchema: z.object({
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results: z.object({
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seo: z.object({
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seoScore: z.number(),
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keywords: z.array(z.string()),
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}),
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readability: z.object({
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readabilityScore: z.number(),
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gradeLevel: z.string(),
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}),
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sentiment: z.object({
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sentiment: z.enum(["positive", "neutral", "negative"]),
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confidence: z.number(),
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}),
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}),
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}),
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})
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.parallel([seoAnalysisStep, readabilityStep, sentimentStep])
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.then(
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createStep({
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id: "combine-results",
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description: "Combines parallel analysis results",
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inputSchema: z.object({
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"seo-analysis": z.object({
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seoScore: z.number(),
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keywords: z.array(z.string()),
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}),
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"readability-analysis": z.object({
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readabilityScore: z.number(),
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gradeLevel: z.string(),
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}),
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"sentiment-analysis": z.object({
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sentiment: z.enum(["positive", "neutral", "negative"]),
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confidence: z.number(),
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}),
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}),
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outputSchema: z.object({
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results: z.object({
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seo: z.object({
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seoScore: z.number(),
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keywords: z.array(z.string()),
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}),
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readability: z.object({
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readabilityScore: z.number(),
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gradeLevel: z.string(),
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}),
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sentiment: z.object({
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sentiment: z.enum(["positive", "neutral", "negative"]),
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confidence: z.number(),
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}),
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}),
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}),
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execute: async ({ inputData }) => {
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console.log("🔄 Combining parallel results...");
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return {
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results: {
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seo: inputData["seo-analysis"],
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readability: inputData["readability-analysis"],
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sentiment: inputData["sentiment-analysis"],
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},
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};
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},
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}),
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)
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.commit();
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```
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## Understanding Parallel Data Flow
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When steps run in parallel:
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1. Each step receives the same input data
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2. Steps execute simultaneously
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3. Results are collected into an object with step IDs as keys
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4. The next step receives all parallel results
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## Key Points
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- **`.parallel([step1, step2, step3])`**: Runs all steps simultaneously
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- **Result object keys**: Use the step IDs (e.g., "seo-analysis")
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- **Combine step**: Processes all parallel results together
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Next, you'll test this parallel workflow and see the performance improvement!
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