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bot: Passthrough fuer vorformatierte Tool-Ergebnisse

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Temperaturen/Energie/Heizung-Ausgaben werden direkt an den User
weitergeleitet, ohne nochmal durch die LLM zu gehen.
Behebt Umlaut-Verlust und Formatierungs-Aenderungen durch LLM.
This commit is contained in:
Homelab Cursor 2026-03-21 02:13:38 +01:00
parent 91dc5d8261
commit 81f7bbff90
1 changed files with 15 additions and 1 deletions
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16
homelab-ai-bot/llm.py
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@ -24,6 +24,8 @@ FALLBACK_MODEL = "qwen3:30b-a3b"
MAX_TOOL_ROUNDS = 3
OLLAMA_MODELS = {VISION_MODEL, FALLBACK_MODEL}
PASSTHROUGH_TOOLS = {"get_temperaturen", "get_energie", "get_heizung"}
import datetime as _dt
_TODAY = _dt.date.today()
_3M_AGO = (_TODAY - _dt.timedelta(days=90))
@ -338,6 +340,8 @@ def ask_with_tools(question: str, tool_handlers: dict, session_id: str = None) -
messages.append({"role": "user", "content": question})
passthrough_result = None
try:
for _round in range(MAX_TOOL_ROUNDS):
data = _call_openrouter(messages, api_key, use_tools=True)
@ -347,6 +351,8 @@ def ask_with_tools(question: str, tool_handlers: dict, session_id: str = None) -
tool_calls = msg.get("tool_calls")
if not tool_calls:
content = msg.get("content") or ""
if passthrough_result:
return passthrough_result
return content or "Keine Antwort vom LLM."
messages.append(msg)
@ -368,12 +374,20 @@ def ask_with_tools(question: str, tool_handlers: dict, session_id: str = None) -
else:
result = f"Unbekanntes Tool: {fn_name}"
result_str = str(result)[:3000]
if fn_name in PASSTHROUGH_TOOLS and not result_str.startswith(("Fehler", "Keine")):
log.info("Passthrough-Tool %s: Ergebnis wird direkt weitergegeben", fn_name)
passthrough_result = result_str
messages.append({
"role": "tool",
"tool_call_id": tc["id"],
"content": str(result)[:3000],
"content": result_str,
})
if passthrough_result:
return passthrough_result
data = _call_openrouter(messages, api_key, use_tools=False)
return data["choices"][0]["message"]["content"]