Публикация решения: update src/main.py

src/main.py

@@ -30,11 +30,11 @@ async def plan_criteria(state: CompareState) -> CompareState:
         f"You are a helpful assistant. Given the following entities: {entities_str}. "
         "Generate 3-5 concise criteria for comparing them. Return a JSON array of strings."
     )
-    response = await llm.agenerate([{"role": "user", "content": prompt}])
+    response = await llm.ainvoke({"role": "user", "content": prompt})
     # parse JSON
     import json
     try:
-        criteria = json.loads(response.generations[0][0].text.strip())
+        criteria = json.loads(response["content"].strip())
     except Exception as e:
         raise ValueError(f"Failed to parse criteria: {e}")
     state["criteria"] = criteria
@@ -79,8 +79,8 @@ async def verdict(state: CompareState) -> CompareState:
         f"Based on the following table:\n{state['final_table']}\n"
         "Provide a short recommendation (2-4 sentences) on which entity is best for each use case."
     )
-    response = await llm.agenerate([{"role": "user", "content": prompt}])
-    state["verdict"] = response.generations[0][0].text.strip()
+    response = await llm.ainvoke({"role": "user", "content": prompt})
+    state["verdict"] = response["content"].strip()
     return state
 
 # ---------- Graph ----------
@@ -109,8 +109,10 @@ app = builder.compile()
 if __name__ == "__main__":
     import argparse
     parser = argparse.ArgumentParser(description="Compare three entities.")
-    parser.add_argument("entities", nargs=3, help="Three entities to compare")
+    parser.add_argument("entities", nargs='*', help="Three entities to compare (default: Chroma, FAISS, Qdrant)")
     args = parser.parse_args()
+    if not args.entities:
+        args.entities = ["Chroma", "FAISS", "Qdrant"]
     init_state: CompareState = {
         "entities": list(args.entities),
         "criteria": [],