Delete chains

chains/backend_chain.py

@@ -1,17 +0,0 @@
-from langchain.prompts import PromptTemplate
-from langchain.chains import LLMChain
-from chains.model import get_local_model
-
-llm = get_local_model()
-
-prompt = PromptTemplate(
-    input_variables=["tasks_json"],
-    template=(
-        "You are the Backend Agent. Based on these tasks, generate REST API endpoints and database schemas "
-        "using FastAPI and MongoDB. Ensure proper routes and Pydantic models.\n\n"
-        "Tasks:\n{tasks_json}\n\n"
-        "Output only code."
-    ),
-)
-
-backend_chain = LLMChain(llm=llm, prompt=prompt)

chains/coordinator_chain.py

@@ -1,17 +0,0 @@
-from langchain.prompts import PromptTemplate
-from langchain.chains import LLMChain
-from chains.model import get_local_model
-
-llm = get_local_model()
-
-prompt = PromptTemplate(
-    input_variables=["brief"],
-    template=(
-        "You are a Project Coordinator Agent. Break this project brief into structured technical tasks.\n"
-        "Assign each task clearly to Frontend or Backend.\n\n"
-        "Brief:\n{brief}\n\n"
-        "Output in JSON list format with keys: task, description, assigned_to."
-    ),
-)
-
-coordinator_chain = LLMChain(llm=llm, prompt=prompt)

chains/frontend_chain.py

@@ -1,17 +0,0 @@
-from langchain.prompts import PromptTemplate
-from langchain.chains import LLMChain
-from chains.model import get_local_model
-
-llm = get_local_model()
-
-prompt = PromptTemplate(
-    input_variables=["tasks_json"],
-    template=(
-        "You are the Frontend Agent. Based on these tasks, write React components with TailwindCSS.\n"
-        "Ensure the UI is clean, responsive, and functional.\n\n"
-        "Tasks:\n{tasks_json}\n\n"
-        "Output only valid React code."
-    ),
-)
-
-frontend_chain = LLMChain(llm=llm, prompt=prompt)

chains/model.py

@@ -1,17 +0,0 @@
-from langchain_community.chat_models import ChatHuggingFace
-from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
-
-def get_local_model():
-    model_name = "mistralai/Mixtral-8x7B-Instruct-v0.1"  # or "HuggingFaceH4/zephyr-7b-beta"
-
-    pipe = pipeline(
-        "text-generation",
-        model=model_name,
-        tokenizer=model_name,
-        max_new_tokens=512,
-        temperature=0.3,
-        top_p=0.95
-    )
-
-    llm = ChatHuggingFace(pipeline=pipe)
-    return llm

chains/review_chain.py

@@ -1,16 +0,0 @@
-from langchain.prompts import PromptTemplate
-from langchain.chains import LLMChain
-from chains.model import get_local_model
-
-llm = get_local_model()
-
-prompt = PromptTemplate(
-    input_variables=["tasks", "frontend", "backend"],
-    template=(
-        "You are the Review Agent. Check consistency between tasks, frontend, and backend outputs.\n"
-        "Point out mismatches or missing features, and summarize overall quality.\n\n"
-        "Tasks:\n{tasks}\n\nFrontend:\n{frontend}\n\nBackend:\n{backend}\n"
-    ),
-)
-
-review_chain = LLMChain(llm=llm, prompt=prompt)