65 lines
1.9 KiB
TypeScript
65 lines
1.9 KiB
TypeScript
import { NextRequest, NextResponse } from 'next/server';
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import { getServerAPIKeys } from '@/lib/api/config';
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import { executeExtractNode } from '@/lib/workflow/executors/extract';
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import { WorkflowNode, WorkflowState } from '@/lib/workflow/types';
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export const dynamic = 'force-dynamic';
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export async function POST(request: NextRequest) {
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try {
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const body = await request.json();
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const { instructions, model, context, jsonSchema, mcpTools = [] } = body;
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// Get API keys from server
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const apiKeys = getServerAPIKeys();
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if (!apiKeys) {
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return NextResponse.json(
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{ error: 'API keys not configured in .env.local' },
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{ status: 500 }
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);
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}
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// Create a minimal workflow state
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const state: WorkflowState = {
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variables: {
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input: context || '',
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lastOutput: context || '',
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},
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chatHistory: [],
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};
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// Create a minimal workflow node
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const node: WorkflowNode = {
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id: 'extract-api-call',
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type: 'transform' as const, // Extract uses the transform node type
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position: { x: 0, y: 0 },
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data: {
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label: 'Extract',
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nodeType: 'extract', // Specify the actual node type in data
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instructions: instructions || 'Extract information from the input',
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model: model || 'gpt-5-mini',
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jsonSchema: jsonSchema,
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mcpTools: mcpTools,
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},
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};
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// Execute the extract node
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const result = await executeExtractNode(node, state, apiKeys);
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return NextResponse.json({
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success: true,
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extractedData: result.extractedData,
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usage: { totalTokens: result.tokensUsed },
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mcpToolsUsed: result.mcpToolsUsed,
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});
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} catch (error) {
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console.error('Extract execution error:', error);
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return NextResponse.json(
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{
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error: 'Extract execution failed',
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message: error instanceof Error ? error.message : 'Unknown error',
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},
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{ status: 500 }
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);
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}
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} |