workflows(suggest_headlines): Randomize and return 3 headlines.

workflows/til/suggest_headlines_v2.py

@@ -1,12 +1,10 @@
 from langchain import callbacks, hub
-from langchain_core.messages import SystemMessage
 from langchain_core.output_parsers import JsonOutputParser
-from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate
 from langchain_openai import ChatOpenAI
 from pydantic import BaseModel, Field, UUID4
-from typing import List, Optional
+from typing import List
 import os
-import pprint
+import random
 
 class HeadlineInfo(BaseModel):
     headline: str
@@ -24,12 +22,12 @@ class HeadlineInfoLLM(BaseModel):
     tone: str = Field(
         description="The tone of the suggested headline.",
     )
+    clickability_score: int = Field(
+        description="Evaluate the headline's quality on a scale of 1 to 10 w.r.t the tone.",
+    )
     reason: str = Field(
         description="Reason for the clickability_score in one sentence",
     )
-    clickability_score: int = Field(
-        description="A score out of 10 on how likely the user is going to click on the headline and read the TIL.",
-    )
 
 class HeadlineResults(BaseModel):
     headlines_details: List[HeadlineInfoLLM]
@@ -71,7 +69,8 @@ class SuggestHeadlinesV2():
         )
 
         headlines_data = self.llm_response["headlines_details"]
-        for headline_datum in headlines_data:
+        random.shuffle(headlines_data)
+        for headline_datum in headlines_data[:3]:
             response.headlines_details.append(
                 HeadlineInfo(
                     headline=headline_datum["headline"],