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feat: implement text extraction pipeline and centralized LLM interface for knowledge graph generation

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This commit is contained in:
RaymondVerhoef
2026-05-24 22:26:13 +02:00
parent 5965793f11
commit e9f37056b6
2 changed files with 2 additions and 1 deletions
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1
src/lib/extractionPipeline.js
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@@ -149,6 +149,7 @@ export async function processSourceText(textContent, sourceName, { signal } = {}
tools: [EMIT_KNOWLEDGE_GRAPH_TOOL], tools: [EMIT_KNOWLEDGE_GRAPH_TOOL],
toolChoice: { type: 'tool', name: EMIT_KNOWLEDGE_GRAPH_TOOL.name }, toolChoice: { type: 'tool', name: EMIT_KNOWLEDGE_GRAPH_TOOL.name },
maxTokens: 8192, maxTokens: 8192,
timeoutMs: 180_000,
limiter: extractionLimiter, limiter: extractionLimiter,
signal, signal,
}); });

2
src/lib/llm.js
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@@ -349,7 +349,7 @@ export async function callLLM(options) {
async () => { async () => {
if (limiter) await limiter.acquire({ signal }); if (limiter) await limiter.acquire({ signal });
const timeoutCtl = new AbortController(); const timeoutCtl = new AbortController();
const timer = setTimeout(() => timeoutCtl.abort(new DOMException('Timeout', 'AbortError')), timeoutMs); const timer = setTimeout(() => timeoutCtl.abort(new DOMException('Timeout', 'TimeoutError')), timeoutMs);
const fetchSignal = linkSignals(signal, timeoutCtl.signal); const fetchSignal = linkSignals(signal, timeoutCtl.signal);
try { try {