38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
"""单次执行后打印 cache-query 与 llm-unified 输出，用于排查记忆。"""
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import json
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import requests
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B = "http://127.0.0.1:8037"
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AID = "688c2c41-dcd1-4285-b193-6bed00c485c2"
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UID = "debug_uid_fresh_99"
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MSG = "我叫李小红"
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r = requests.post(
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B + "/api/v1/auth/login",
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data={"username": "admin", "password": "123456"},
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headers={"Content-Type": "application/x-www-form-urlencoded"},
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timeout=15,
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)
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h = {"Authorization": f"Bearer {r.json()['access_token']}", "Content-Type": "application/json"}
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eid = requests.post(
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B + "/api/v1/executions",
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headers=h,
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json={"agent_id": AID, "input_data": {"query": MSG, "USER_INPUT": MSG, "user_id": UID}},
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timeout=30,
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).json()["id"]
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import time
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for _ in range(90):
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d = requests.get(f"{B}/api/v1/executions/{eid}", headers=h, timeout=60).json()
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if d["status"] not in ("pending", "running"):
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break
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time.sleep(0.6)
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od = d.get("output_data") or {}
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nr = od.get("node_results") or {}
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cq = nr.get("cache-query") or {}
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llm = nr.get("llm-unified") or {}
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print("cache-query memory user_profile:", (cq.get("memory") or {}).get("user_profile"))
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print("llm output:", (llm.get("output") or "")[:600])
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