fixed

src/index.py

@@ -38,8 +38,8 @@ try:
         api_key=api_key,
         api_version=api_version,
         azure_endpoint=azure_endpoint,
-        model="gpt-4o",
-        temperature=0.3
+        azure_deployment="gpt-4o",
+        temperature=0.3,
     )
     print("Azure OpenAI embeddings and model set up successfully.")
 except Exception as e:

src/llm.py

@@ -7,7 +7,7 @@ from typing import Literal
 
 from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.pydantic_v1 import BaseModel, Field
-from langchain_openai import AzureChatOpenAI
+# from langchain_openai import AzureChatOpenAI
 
 #%%
 # Data model
@@ -38,13 +38,6 @@ route_prompt = ChatPromptTemplate.from_messages(
 
 #%%
 question_router = route_prompt | structured_llm_router
-print(
-    question_router.invoke(
-        {"question": "Who will the Bears draft first in the NFL draft?"}
-    )
-)
-print(question_router.invoke({"question": "What are the types of agent memory?"}))
-
 
 # %%
 ### Retrieval Grader
@@ -90,7 +83,8 @@ from langchain_core.output_parsers import StrOutputParser
 prompt = hub.pull("rlm/rag-prompt")
 
 # LLM
-llm = AzureChatOpenAI(model_name="gpt-4o-mini", temperature=0.3)
+# llm = AzureChatOpenAI(model_name="gpt-4o-mini", temperature=0.3)
+
 
 
 # Post-processing

vectordb/08d73b15-e800-45c5-a450-5b9d696166f3/length.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:36145df1efa1a3bfba46c79e2b76437f2fd83cbfea85af22e6d7bebd2958e995
+oid sha256:c46bdbd91f9ce31abb4f696e2ccd22cf2238401c3164a6636e356a2b808009fc
 size 4000