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fix(bot): bei Bild+Preisfrage erzwinge web_search statt Bild-Extraktion, max_tokens 4000

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Cursor 2026-03-21 00:16:41 +01:00
parent 72b90e6982
commit 59de3e3a49
1 changed files with 15 additions and 2 deletions
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17
homelab-ai-bot/llm.py
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@ -355,6 +355,19 @@ def ask_with_image(image_base64: str, caption: str, tool_handlers: dict, session
"Wenn es ein normales Bild ist: Beschreibe strukturiert was du siehst." "Wenn es ein normales Bild ist: Beschreibe strukturiert was du siehst."
) )
prompt_text = caption if caption else default_prompt prompt_text = caption if caption else default_prompt
_price_kw = ["preis", "kostet", "kosten", "price", "teuer", "guenstig", "billig",
"bestpreis", "angebot", "euro", "eur", "kaufen"]
_is_price_q = any(kw in (caption or "").lower() for kw in _price_kw)
if _is_price_q:
prompt_text = (
"WICHTIG: Der User fragt nach einem aktuellen Preis. "
"Du MUSST zuerst web_search aufrufen um den aktuellen Marktpreis zu ermitteln. "
"Nutze das Bild nur als Kontext, NICHT als Preisquelle — Bilder koennen veraltet sein. "
"Erst NACH der web_search darfst du antworten.\n\n"
+ prompt_text
)
user_content = [ user_content = [
{"type": "text", "text": prompt_text}, {"type": "text", "text": prompt_text},
{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image_base64}", "detail": "high"}}, {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{image_base64}", "detail": "high"}},
@ -384,7 +397,7 @@ def ask_with_image(image_base64: str, caption: str, tool_handlers: dict, session
try: try:
for _round in range(MAX_TOOL_ROUNDS): for _round in range(MAX_TOOL_ROUNDS):
data = _call_openrouter(messages, api_key, use_tools=True, data = _call_openrouter(messages, api_key, use_tools=True,
model=VISION_MODEL, max_tokens=1200) model=VISION_MODEL, max_tokens=4000)
choice = data["choices"][0] choice = data["choices"][0]
msg = choice["message"] msg = choice["message"]
@ -418,7 +431,7 @@ def ask_with_image(image_base64: str, caption: str, tool_handlers: dict, session
}) })
data = _call_openrouter(messages, api_key, use_tools=False, data = _call_openrouter(messages, api_key, use_tools=False,
model=VISION_MODEL, max_tokens=1200) model=VISION_MODEL, max_tokens=4000)
return data["choices"][0]["message"]["content"] return data["choices"][0]["message"]["content"]
except Exception as e: except Exception as e: