wehub-resource-sync
77 lines
2.4 KiB
TypeScript
77 lines
2.4 KiB
TypeScript
import { NextRequest, NextResponse } from 'next/server';
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import { LangGraphExecutor } from '@/lib/workflow/langgraph';
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import { getWorkflow } from '@/lib/workflow/storage';
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import { getServerAPIKeys } from '@/lib/api/config';
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import { validateApiKey } from '@/lib/api/auth';
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export const dynamic = 'force-dynamic';
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/**
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* Execute workflow using LangGraph
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* POST /api/workflows/:workflowId/execute-langgraph
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*/
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export async function POST(
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request: NextRequest,
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{ params }: { params: Promise<{ workflowId: string }> }
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) {
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try {
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// Validate API key
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const authResult = await validateApiKey(request);
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if (!authResult.authenticated) {
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return NextResponse.json(
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{ error: authResult.error || 'Authentication required' },
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{ status: 401 }
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);
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}
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const { workflowId } = await params;
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const body = await request.json();
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const { input, threadId } = body;
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// Load workflow
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const workflow = await getWorkflow(workflowId);
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if (!workflow) {
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return NextResponse.json(
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{ error: 'Workflow not found' },
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{ status: 404 }
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);
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}
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// Get API keys - check user keys first, then fall back to environment
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const { getLLMApiKey } = await import('@/lib/api/llm-keys');
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const userId = authResult.userId;
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const apiKeys = {
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anthropic: userId ? await getLLMApiKey('anthropic', userId) : null || process.env.ANTHROPIC_API_KEY,
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groq: userId ? await getLLMApiKey('groq', userId) : null || process.env.GROQ_API_KEY,
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openai: userId ? await getLLMApiKey('openai', userId) : null || process.env.OPENAI_API_KEY,
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firecrawl: process.env.FIRECRAWL_API_KEY, // Firecrawl keys are still environment-only for now
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arcade: process.env.ARCADE_API_KEY,
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};
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// Create LangGraph executor
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const executor = new LangGraphExecutor(workflow, undefined, apiKeys || undefined);
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// Execute workflow
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const result = await executor.execute(input, { threadId });
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return NextResponse.json({
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success: true,
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executionId: result.id,
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status: result.status,
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nodeResults: result.nodeResults,
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startedAt: result.startedAt,
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completedAt: result.completedAt,
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});
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} catch (error) {
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console.error('LangGraph execution error:', error);
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return NextResponse.json(
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{
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error: 'Workflow 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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}
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