Delete assistant.py

assistant.py

@@ -1,66 +0,0 @@
-from typing import Optional
-
-from phi.assistant import Assistant
-from phi.knowledge import AssistantKnowledge
-from phi.llm.groq import Groq
-from phi.embedder.openai import OpenAIEmbedder
-from phi.embedder.ollama import OllamaEmbedder
-from phi.vectordb.pgvector import PgVector2
-from phi.storage.assistant.postgres import PgAssistantStorage
-
-
-db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
-
-
-def get_groq_assistant(
-    llm_model: str = "llama3-70b-8192",
-    embeddings_model: str = "text-embedding-3-small",
-    user_id: Optional[str] = None,
-    run_id: Optional[str] = None,
-    debug_mode: bool = True,
-) -> Assistant:
-    """Get a Groq RAG Assistant."""
-
-    # Define the embedder based on the embeddings model
-    embedder = (
-        OllamaEmbedder(model=embeddings_model, dimensions=768)
-        if embeddings_model == "nomic-embed-text"
-        else OpenAIEmbedder(model=embeddings_model, dimensions=1536)
-    )
-    # Define the embeddings table based on the embeddings model
-    embeddings_table = (
-        "groq_rag_documents_ollama" if embeddings_model == "nomic-embed-text" else "groq_rag_documents_openai"
-    )
-
-    return Assistant(
-        name="groq_rag_assistant",
-        run_id=run_id,
-        user_id=user_id,
-        llm=Groq(model=llm_model),
-        storage=PgAssistantStorage(table_name="groq_rag_assistant", db_url=db_url),
-        knowledge_base=AssistantKnowledge(
-            vector_db=PgVector2(
-                db_url=db_url,
-                collection=embeddings_table,
-                embedder=embedder,
-            ),
-            # 2 references are added to the prompt
-            num_documents=2,
-        ),
-        description="You are an AI called 'GroqRAG' and your task is to answer questions using the provided information",
-        instructions=[
-            "When a user asks a question, you will be provided with information about the question.",
-            "Carefully read this information and provide a clear and concise answer to the user.",
-            "Do not use phrases like 'based on my knowledge' or 'depending on the information'.",
-        ],
-        # This setting adds references from the knowledge_base to the user prompt
-        add_references_to_prompt=True,
-        # This setting tells the LLM to format messages in markdown
-        markdown=True,
-        # This setting adds chat history to the messages
-        add_chat_history_to_messages=True,
-        # This setting adds 4 previous messages from chat history to the messages
-        num_history_messages=4,
-        add_datetime_to_instructions=True,
-        debug_mode=debug_mode,
-    )