Überarbeitung des Retrivals

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

@@ -21,6 +21,8 @@ def generate_hint(
     )
     if history:
         prompt += "\nHistorie:\n" + history + "\n"
+    if context_sheet:
+        prompt += "\nKontext:\n" + context_sheet + "\n"
     prompt += "Halte dich kurz und klar. Gibt nicht die Lösung aus."
 
     result = llm_client.chat(

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

@@ -107,23 +107,25 @@ def add_math_solution(
     sheet["updated_at"] = _utc_now()
 
 
-def add_tool_output(sheet: dict[str, Any], entry: dict[str, Any]) -> None:
-    sheet["tool_outputs"].append(entry)
-    sheet["updated_at"] = _utc_now()
-
-
 def add_decision(sheet: dict[str, Any], decision: dict[str, Any]) -> None:
     entry = {"timestamp": _utc_now(), **decision}
     sheet["decisions"].append(entry)
     sheet["updated_at"] = _utc_now()
 
 
+# wird aktuell nicht benutzt
 def latest_math_solution(sheet: dict[str, Any]) -> str:
     if not sheet["math_solutions"]:
         return ""
     return sheet["math_solutions"][-1].get("solution", "")
 
 
+def first_math_solution(sheet: dict[str, Any]) -> str:
+    if not sheet["math_solutions"]:
+        return ""
+    return sheet["math_solutions"][0].get("solution", "")
+
+
 def format_sheet(sheet: dict[str, Any]) -> str:
     parts = []
     history = format_history(sheet.get("history", []))

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

@@ -10,10 +10,6 @@ def _append_tool_log(tool_log: list[dict], name: str, args: dict, response: obje
 def _bootstrap_context(sheet: dict, query_text: str, tool_log: list[dict]) -> None:
     context, sources = retrieval_service.retrieve_context(query_text=query_text)
     context_store.add_retrieval_context(sheet, query_text, context, sources)
-    context_store.add_tool_output(
-        sheet,
-        {"name": "retrieve_context", "arguments": {"query": query_text}, "response": context},
-    )
     _append_tool_log(tool_log, "retrieve_context", {"query": query_text}, {"context": context, "sources": sources})
 
     math_request = math_intent_LLM.extract_math_request(query_text)
@@ -26,10 +22,6 @@ def _bootstrap_context(sheet: dict, query_text: str, tool_log: list[dict]) -> No
             math_request.get("symbols"),
             solution,
         )
-        context_store.add_tool_output(
-            sheet,
-            {"name": "sympy_solve", "arguments": math_request, "response": solution},
-        )
         _append_tool_log(tool_log, "sympy_solve", math_request, solution)
 
 
@@ -68,12 +60,11 @@ def run_chat(messages: list[dict], draft: str | None = None) -> dict:
     # Hinweis und Ausgaben generierung
     hint_args = {
         "task": last_user.get("content", ""),
-        "solution": context_store.latest_math_solution(sheet),
+        "solution": context_store.first_math_solution(sheet),
         "history": history_text,
         "context_sheet": sheet_text,
     }
     reply = hint_LLM.generate_hint(**hint_args)
-    context_store.add_tool_output(sheet, {"name": "generate_hint", "arguments": hint_args, "response": reply})
     _append_tool_log(tool_log, "generate_hint", hint_args, reply)
 
     if not reply: