Joeven — Learn Autonomous AI Agents

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import json

CHUNKS = {
    "runbook": "Runner OOM: raise worker memory, then replay the DLQ.",
    "billing": "Refunds take 5-7 days. Never cash.",
    "dlq": "DLQ replay: CLI cmd replay-dlq --since 24h. Needs worker healthy.",
}

def retrieve(query, k=1):
    q = set(query.lower().split())
    scored = []
    for cid, text in CHUNKS.items():
        score = len(q & set(text.lower().replace(":", " ").replace(",", " ").split()))
        scored.append((score, cid, text))
    scored.sort(reverse=True)
    return [{"id": cid, "text": text, "score": sc} for sc, cid, text in scored[:k] if sc > 0]

def enough(hits):
    blob = " ".join(h["text"].lower() for h in hits)
    return "replay-dlq" in blob and "memory" in blob

def agentic(question, max_hops=3):
    queries = [question]
    evidence = []
    seen = set()
    for hop in range(max_hops):
        hits = retrieve(queries[-1], k=1)
        ids = tuple(h["id"] for h in hits)
        if ids in seen:
            break
        seen.add(ids)
        evidence.extend(hits)
        print(json.dumps({"hop": hop, "query": queries[-1], "hits": [h["id"] for h in hits]}))
        if enough(evidence):
            return {
                "answer": "Raise worker memory, then replay-dlq --since 24h.",
                "hops": hop + 1,
                "citations": [h["id"] for h in evidence],
            }
        blob = " ".join(h["text"] for h in hits)
        if "DLQ" in blob and "replay-dlq" not in blob:
            queries.append("DLQ replay CLI")
        else:
            queries.append(question + " runbook memory")
    return {"answer": "give up", "hops": max_hops, "citations": []}

print("FINAL", json.dumps(agentic("worker OOM then what about the DLQ")))

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