Added conversation history

Dockerfile

@@ -23,7 +23,6 @@ RUN uv pip install --system -e .
 
 # Copy application code
 COPY *.py ./
-COPY blueprints ./blueprints
 COPY startup.sh ./
 RUN chmod +x startup.sh
 

blueprints/__init__.py

@@ -1 +0,0 @@
-# Blueprints package

llm.py

@@ -4,14 +4,9 @@ from ollama import Client
 from openai import OpenAI
 
 import logging
-from dotenv import load_dotenv
-
-load_dotenv()
 
 logging.basicConfig(level=logging.INFO)
 
-TRY_OLLAMA = os.getenv("TRY_OLLAMA", False)
-
 
 class LLMClient:
     def __init__(self):
@@ -35,35 +30,31 @@ class LLMClient:
         prompt: str,
         system_prompt: str,
     ):
-        # Instituting a fallback if my gaming PC is not on
         if self.PROVIDER == "ollama":
-            try:
-                response = self.ollama_client.chat(
-                    model="gemma3:4b",
-                    messages=[
-                        {
-                            "role": "system",
-                            "content": system_prompt,
-                        },
-                        {"role": "user", "content": prompt},
-                    ],
-                )
-                output = response.message.content
-                return output
-            except Exception as e:
-                logging.error(f"Could not connect to OLLAMA: {str(e)}")
-
-        response = self.openai_client.responses.create(
-            model="gpt-4o-mini",
-            input=[
-                {
-                    "role": "system",
-                    "content": system_prompt,
-                },
-                {"role": "user", "content": prompt},
-            ],
-        )
-        output = response.output_text
+            response = self.ollama_client.chat(
+                model="gemma3:4b",
+                messages=[
+                    {
+                        "role": "system",
+                        "content": system_prompt,
+                    },
+                    {"role": "user", "content": prompt},
+                ],
+            )
+            print(response)
+            output = response.message.content
+        elif self.PROVIDER == "openai":
+            response = self.openai_client.responses.create(
+                model="gpt-4o-mini",
+                input=[
+                    {
+                        "role": "system",
+                        "content": system_prompt,
+                    },
+                    {"role": "user", "content": prompt},
+                ],
+            )
+            output = response.output_text
 
         return output
 

main.py

@@ -197,6 +197,10 @@ def filter_indexed_files(docs):
 if __name__ == "__main__":
     args = parser.parse_args()
     if args.reindex:
+        with sqlite3.connect("./visited.db") as conn:
+            c = conn.cursor()
+            c.execute("DELETE FROM indexed_documents")
+
         logging.info("Fetching documents from Paperless-NGX")
         ppngx = PaperlessNGXService()
         docs = ppngx.get_data()