alaa update project

agents/books/book_content.py

@@ -19,7 +19,7 @@ os.environ["CREWAI_TRACING_ENABLED"] = "false"
 os.environ["CREWAI_DISABLE_TELEMETRY"] = "true"
 
 from crewai import Agent, Task, Crew, Process
-from modules import llm_4m, llm_open_grok
+from modules import llm_open_4m, llm_open_grok
 
 # ---------------------------------------------------------
 # Helpers
@@ -812,7 +812,7 @@ def make_writer_agent() -> Agent:
 
 
 def make_quality_agent() -> Agent:
-    model = llm_4m()
+    model = llm_open_4m()
     return Agent(
         name="ArabicBookQualityGateV3",
         role="Arabic Developmental Editor & Compliance QA",

agents/books/book_content_gpt.py

@@ -19,7 +19,7 @@ os.environ["CREWAI_TRACING_ENABLED"] = "false"
 os.environ["CREWAI_DISABLE_TELEMETRY"] = "true"
 
 from crewai import Agent, Task, Crew, Process
-from modules import llm_4m, llm_open_grok
+from modules import llm_open_4m, llm_open_grok
 
 # ---------------------------------------------------------
 # Helpers
@@ -386,7 +386,7 @@ QUALITY_EXPECTED_OUTPUT = "Strict JSON with keys: generated_content, sources"
 
 
 def make_writer_agent() -> Agent:
-    model = llm_4m()
+    model = llm_open_4m()
     return Agent(
         name="ArabicNonFictionBookAuthorV3",
         role="Arabic Non-Fiction Book Author (Adaptive | RAG-Strict | APA7 | Style-Exact)",
@@ -406,7 +406,7 @@ def make_writer_agent() -> Agent:
 
 
 def make_quality_agent() -> Agent:
-    model = llm_4m()
+    model = llm_open_4m()
     return Agent(
         name="ArabicBookQualityGateV3",
         role="Arabic Developmental Editor & Compliance QA",

agents/books/book_content_new.py

@@ -31,7 +31,7 @@ os.environ["CREWAI_TRACING_ENABLED"] = "false"
 os.environ["CREWAI_DISABLE_TELEMETRY"] = "true"
 
 from crewai import Agent, Task, Crew, Process
-from modules import llm_4m, llm_open_grok
+from modules import llm_open_4m, llm_open_grok
 
 
 # ---------------------------------------------------------

agents/books/book_planning.py

@@ -1,12 +1,12 @@
 from crewai import Agent, Task
-from modules import llm_4m
+from modules import llm_open_4m
 from schemas.books.book_planning import ChapterPlanningBlockDTO
 
 # ================================
 # Agent
 # ================================
 def agent_task_planning():
-    model = llm_4m()
+    model = llm_open_4m()
     book_planner_agent = Agent(
         name="BookPlanningAgent",
         role="مخطط محتوى كتاب غير روائي (Non-fiction) على مستوى الشابتر",

agents/books/book_structure.py

@@ -255,7 +255,7 @@
 #         async_execution=False,
 #     )
 from crewai import Agent, Task
-from modules import llm_4m
+from modules import llm_open_4m
 from schemas import BookOutlineOutput
 
 
@@ -263,7 +263,7 @@ from schemas import BookOutlineOutput
 # Agent: Book Structure Designer
 # ---------------------------------------------------
 def book_structure_agent():
-    model = llm_4m()
+    model = llm_open_4m()
 
     return Agent(
         name="BookStructureDesigner",

agents/books/queries_agent.py

@@ -117,7 +117,7 @@ from crewai import Agent, Task
 import os
 import json
 from schemas.books.queries_schema import QueriesOutput
-from modules import llm_4m
+from modules import llm_open_4m
 
 
 
@@ -127,7 +127,7 @@ from modules import llm_4m
 
 
 def query_agent():
-    model = llm_4m()
+    model = llm_open_4m()
 
     return Agent(
         name="BookSourceQueryAgent",

agents/books/units_structure.py

@@ -1,10 +1,10 @@
 from crewai import Agent, Task
-from modules import llm_4m
+from modules import llm_open_4m
 from schemas import CourseSchema
 
 
 def course_structuring_agent(): 
-    model = llm_4m()
+    model = llm_open_4m()
     return Agent(
     name="CourseStructuringAgent",
     role="Educational Content Structuring Expert",

modules/__init__.py

@@ -12,6 +12,7 @@ from .env import (
     llm_open_nova,
     llm_open_hermes,
     llm_open_grok,
+    llm_open_4m,
     llm_qwen,
     model,
     model_open_router,

modules/env.py

@@ -58,6 +58,13 @@ def llm_4m():
     model="gpt-4.1-mini-2025-04-14",
 )
 
+def llm_open_4m():
+    return LLM(
+        api_key=os.environ["OPENROUTER_API_KEY"],
+        base_url="https://openrouter.ai/api/v1",
+        model="openrouter/openai/gpt-4.1-mini",
+    )
+
 def llm_5n():
     return LLM(
         model="gpt-5-nano-2025-08-07",