From 58ee39178cd1b0198c9177b85def9f5af848d73a Mon Sep 17 00:00:00 2001 From: evelynmitchell Date: Wed, 27 Nov 2024 19:52:53 -0700 Subject: [PATCH] whitespace --- new_features_examples/spike/test.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/new_features_examples/spike/test.py b/new_features_examples/spike/test.py index 3c1f5fb5..8a1d52f8 100644 --- a/new_features_examples/spike/test.py +++ b/new_features_examples/spike/test.py @@ -4,7 +4,7 @@ Todo - You send structured data to the swarm through the users form they make - then connect rag for every agent using llama index to remember all the students data - structured outputs -""" +""" # noqa: W291, W293 import os from dotenv import load_dotenv @@ -50,7 +50,7 @@ You are a college selection final decision maker. Your role is to: Focus on creating actionable, well-reasoned final recommendations that balance all relevant factors and stakeholder input. -""" +""" # noqa: W291, W293 function_caller = OpenAIFunctionCaller( system_prompt=FINAL_AGENT_PROMPT, @@ -71,7 +71,7 @@ profile_analyzer_agent = Agent( 6. Create a comprehensive student profile summary Always consider both quantitative metrics (GPA, test scores) and qualitative aspects - (personal growth, challenges overcome, unique perspectives).""", + (personal growth, challenges overcome, unique perspectives).""", # noqa: W291, W293 llm=model, max_loops=1, verbose=True, @@ -94,7 +94,7 @@ college_research_agent = Agent( 6. Track historical admission data and acceptance rates Focus on providing accurate, comprehensive information about each institution - while considering both academic and cultural fit factors.""", + while considering both academic and cultural fit factors.""", # noqa: W291, W293 llm=model, max_loops=1, verbose=True, @@ -117,7 +117,7 @@ college_match_agent = Agent( 6. Explain the reasoning behind each match Always provide a balanced list with realistic expectations while - considering both student preferences and admission probability.""", + considering both student preferences and admission probability.""", # noqa: W291, W293 llm=model, max_loops=1, verbose=True, @@ -140,7 +140,7 @@ debate_moderator_agent = Agent( 6. Document key points of agreement and disagreement Maintain objectivity while ensuring all important factors are thoroughly discussed - and evaluated.""", + and evaluated.""", # noqa: W291, W293 llm=model, max_loops=1, verbose=True, @@ -163,7 +163,7 @@ critique_agent = Agent( 6. Suggest alternative options when appropriate Focus on constructive criticism that helps improve the final college list - while maintaining realistic expectations.""", + while maintaining realistic expectations.""", # noqa: W291, W293 llm=model, max_loops=1, verbose=True, @@ -188,7 +188,7 @@ final_decision_agent = Agent( Focus on creating actionable, well-reasoned final recommendations that balance all relevant factors and stakeholder input. - """, + """, # noqa: W291, W293 llm=model, max_loops=1, verbose=True, @@ -227,7 +227,7 @@ if __name__ == "__main__": - Extracurriculars: Robotics Club President, Math Team - Budget: Need financial aid - Preferred Environment: Medium-sized urban campus - """ + """ # noqa: W291, W293 # Run the comprehensive college selection analysis result = college_selection_workflow.run(