LLM solver hinzugefügt noch nicht eingegliedert.

math-tutor/backend/app/LLM_services/solver_LLM.py

+from app.deterministic_services import llm_client
+
+
+SOLVER_PROMPT = (
+    "Du bist ein Mathe-Aufgaben Löser. Schreibe ein ausführliche genaue Lösung für die gestellt Fragen. "
+    "In der du alle Zwischenschritte aufführst und möglich Fehlerquellen auflistet."
+    "Deine Lösung soll korrekt sein und didaktisch gut formuliert."
+    "Benutzt die Begriffsbezeichungen aus dem Kontext"
+)
+
+
+def solve_question(question: str, context_sheet: str) -> str:
+    prompt = (
+        "Frage:\n"
+        + question
+        + "\n\Kontex:\n"
+        + context_sheet
+    )
+    result = llm_client.chat(
+        messages=[
+            {"role": "system", "content": SOLVER_PROMPT},
+            {"role": "user", "content": prompt},
+        ],
+    )
+    solution = llm_client.get_message_content(result)
+    return solution
\ No newline at end of file

math-tutor/backend/app/deterministic_services/context_store.py

@@ -49,9 +49,9 @@ def init_sheet(chat_id: str, messages: list[dict]) -> dict[str, Any]:
         "history": messages[:],
         "retrieval_contexts": [],
         "math_solutions": [],
+        "LLM_solutions":[],
         "tool_outputs": [],
         "decisions": [],
-        "sources": [],
         "initialized": False,
     }
 
@@ -85,7 +85,6 @@ def add_retrieval_context(
     sheet["retrieval_contexts"].append(
         {"query": query, "context": context, "sources": sources}
     )
-    sheet["sources"] = list(dict.fromkeys(sheet["sources"] + sources))
     sheet["updated_at"] = _utc_now()
 
 
@@ -106,6 +105,17 @@ def add_math_solution(
     )
     sheet["updated_at"] = _utc_now()
 
+def add_LLM_solution(
+    sheet: dict[str, Any],
+    solution: str,
+) -> None:
+    sheet["LLM_solutions"].append(
+        {
+            "solution": solution,
+        }
+    )
+    sheet["updated_at"] = _utc_now()
+
 
 def add_decision(sheet: dict[str, Any], decision: dict[str, Any]) -> None:
     entry = {"timestamp": _utc_now(), **decision}

math-tutor/backend/app/deterministic_services/orchestrator.py

 from app.deterministic_services import context_store, retrieval_service, tool_logging
 from app.tools import math_tool
-from app.LLM_services import hint_LLM, decision_LLM, math_intent_LLM
+from app.LLM_services import hint_LLM, decision_LLM, math_intent_LLM, solver_LLM
 
 
 def _append_tool_log(tool_log: list[dict], name: str, args: dict, response: object) -> None:
@@ -50,6 +50,9 @@ def run_chat(messages: list[dict], draft: str | None = None) -> dict:
 
     history_text = context_store.format_history(messages)
     sheet_text = context_store.format_sheet(sheet)
+    llm_solution = solver_LLM.solve_question(messages, sheet_text)
+    _append_tool_log(tool_log, "LLM_Solution", messages, llm_solution)
+    context_store.add_LLM_solution(sheet, llm_solution)
     decision = decision_LLM.needs_more_context(history_text, sheet_text)
     _append_tool_log(tool_log, "decision", sheet_text, decision)
     context_store.add_decision(sheet, decision)