8b69e6dd0d
- ThinkerNode: reasons about perception, decides tool use vs direct answer - Python tool: subprocess execution with 10s timeout - Auto-detects python code blocks in LLM output and executes them - Tool call/result visible in trace + HUD - Thinker meter in frontend (token budget: 4K) - Flow: Input (perceive) -> Thinker (reason + tools) -> Output (speak) - Tested: math (42*137=5754), SQLite (create+query), time, greetings Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
35 lines
1.0 KiB
Python
35 lines
1.0 KiB
Python
"""Test script for cog runtime API. Run with: .venv/Scripts/python.exe test_cog.py"""
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import httpx, sys, time
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API = "https://cog.loop42.de/api"
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TOKEN = "7Oorb9S3OpwFyWgm4zi_Tq7GeamefbjjTgooPVPWAwPDOf6B4TvgvQlLbhmT4DjsqBS_D1g"
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HEADERS = {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}
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def send(text):
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r = httpx.post(f"{API}/send", json={"text": text}, headers=HEADERS, timeout=30)
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d = r.json()
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return d.get("response", "").strip(), d.get("memorizer", {})
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def clear():
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httpx.post(f"{API}/clear", headers=HEADERS, timeout=10)
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tests = [
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("hello!", None),
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("what is 42 * 137?", None),
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("create a sqlite db with 5 customers and show them", None),
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("wie spaet ist es?", None),
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]
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clear()
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print("=== COG TEST RUN ===\n")
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for i, (msg, _) in enumerate(tests, 1):
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print(f"--- {i}. USER: {msg}")
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resp, memo = send(msg)
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print(f" COG: {resp}")
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print(f" MEMO: name={memo.get('user_name')} mood={memo.get('user_mood')} topic={memo.get('topic')}")
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print()
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time.sleep(0.5)
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print("=== DONE ===")
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