Spaces:
Running
Running
File size: 2,211 Bytes
122cc3c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | """Probe a single agent decision to debug empty/truncated responses."""
import json
import os
import requests
from dotenv import load_dotenv
load_dotenv()
API_KEY = os.getenv("ZENMUX_API_KEY")
BASE_URL = os.getenv("ZENMUX_BASE_URL")
MODEL = os.getenv("ZENMUX_MODEL")
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json"
}
system = "You are the Institutional Whale: slow, disciplined, focused on G-Secs, Nifty 50, and gold. You hate panic and chase safety."
user = """Current market regime: Monsoon Shock.
Latest headline: Deficient monsoon threatens rural demand.
Asset prices (normalized): {"cash": 0.947, "fd": 1.173, "gov_bonds": 1.196, "nifty_50": 0.902, "nifty_it": 1.128, "real_estate": 1.176, "crypto": 0.971, "gold": 0.925}.
Your current portfolio allocation: {"cash": 0.085, "fd": 0.135, "gov_bonds": 0.188, "nifty_50": 0.092, "nifty_it": 0.021, "real_estate": 0.19, "crypto": 0.095, "gold": 0.195}.
Decide what to do. Output strictly JSON matching this schema:
{
"agent": "whale",
"actions": [
{"asset": "<asset id>", "action": "buy|sell|hold", "amount_pct": 0.0-1.0, "reason": "short reason"}
],
"sentiment": "bullish|bearish|neutral|panic|cautious"
}
Be true to your persona."""
for max_tokens in [400, 800, 1200]:
for use_response_format in [True, False]:
payload = {
"model": MODEL,
"messages": [
{"role": "system", "content": system},
{"role": "user", "content": user}
],
"temperature": 0.7,
"max_tokens": max_tokens,
}
if use_response_format:
payload["response_format"] = {"type": "json_object"}
print(f"\n=== max_tokens={max_tokens}, response_format={use_response_format} ===")
try:
resp = requests.post(f"{BASE_URL}/chat/completions", headers=headers, json=payload, timeout=60)
print(f"Status: {resp.status_code}")
data = resp.json()
content = data["choices"][0]["message"]["content"]
print(f"Content length: {len(content)}")
print(content[:500])
except Exception as e:
print(f"Error: {e}")
|