umstrukturierung

math-tutor/backend/app/tools/decision_tool.py → math-tutor/backend/app/LLM_services/decision_tool.py

 import json
 
-from app.services import llm_client
+from app.deterministic_services import llm_client
 
 
 CLASSIFIER_PROMPT = (

math-tutor/backend/app/tools/hint_tool.py → math-tutor/backend/app/LLM_services/hint_tool.py

-from app.services import llm_client
+from app.deterministic_services import llm_client
 
 
 def generate_hint(

math-tutor/backend/app/services/math_intent.py → math-tutor/backend/app/LLM_services/math_intent.py

 import json
 
-from app.services import llm_client
+from app.deterministic_services import llm_client
 
 
 MATH_INTENT_PROMPT = (

math-tutor/backend/app/api/canvas.py

 from __future__ import annotations
 
 import base64
-import os
 import time
 from pathlib import Path
 from typing import Optional

math-tutor/backend/app/api/chat.py

@@ -7,7 +7,7 @@ import logging
 from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel, Field
 
-from app.services import orchestrator_engine
+from app.deterministic_services import orchestrator
 
 router = APIRouter()
 logger = logging.getLogger(__name__)
@@ -34,7 +34,7 @@ def chat(request: ChatRequest) -> ChatResponse:
         raise HTTPException(status_code=400, detail="messages required")
 
     try:
-        result = orchestrator_engine.run_chat(
+        result = orchestrator.run_chat(
             [{"role": m.role, "content": m.text} for m in request.messages],
             draft=request.draft,
         )

math-tutor/backend/app/api/retrieval.py

@@ -10,8 +10,8 @@ from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel, Field
 
 from app import config
-from app.services.embeddings import OpenAILikeEmbeddings
-from app.services import vector_store
+from app.deterministic_services.embeddings import OpenAILikeEmbeddings
+from app.deterministic_services import vector_store
 
 router = APIRouter()
 

math-tutor/backend/app/services/orchestrator_engine.py → math-tutor/backend/app/deterministic_services/orchestrator.py

-from app.services import context_store, math_intent, retrieval_service, tool_logging
-from app.tools import hint_tool, math_tool, decision_tool
+from app.deterministic_services import context_store, retrieval_service, tool_logging
+from app.tools import math_tool
+from app.LLM_services import hint_tool, decision_tool, math_intent
 
 
 def _append_tool_log(tool_log: list[dict], name: str, args: dict, response: object) -> None:

math-tutor/backend/app/services/retrieval_service.py → math-tutor/backend/app/deterministic_services/retrieval_service.py

@@ -3,8 +3,8 @@ from __future__ import annotations
 from typing import List
 
 from app import config
-from app.services.embeddings import OpenAILikeEmbeddings
-from app.services import vector_store
+from app.deterministic_services.embeddings import OpenAILikeEmbeddings
+from app.deterministic_services import vector_store
 
 CONTEXT_LIMITS = {
     "direct": 4,

math-tutor/backend/app/services/tool_registry.py

-from app.tools import hint_tool, math_tool, retrieval_tool
-
-TOOL_SPECS = [
-    math_tool.TOOL_SPEC,
-    hint_tool.TOOL_SPEC,
-    retrieval_tool.TOOL_SPEC,
-]
-
-TOOL_HANDLERS = {
-    "sympy_solve": math_tool.sympy_solve,
-    "generate_hint": hint_tool.generate_hint,
-    "retrieve_context": retrieval_tool.retrieve_context,
-}

math-tutor/backend/app/tools/retrieval_tool.py

-from app.services import retrieval_service
+from app.deterministic_services import retrieval_service
 
 
 def retrieve_context(query: str) -> dict:

math-tutor/backend/scripts/retrieval_cli.py

@@ -14,8 +14,8 @@ ROOT_DIR = Path(__file__).resolve().parents[1]
 if str(ROOT_DIR) not in sys.path:
     sys.path.insert(0, str(ROOT_DIR))
 
-from app.services.embeddings import OpenAILikeEmbeddings
-from app.services import vector_store
+from app.deterministic_services.embeddings import OpenAILikeEmbeddings
+from app.deterministic_services import vector_store
 
 
 def build_embedder() -> OpenAILikeEmbeddings: