@ -2,13 +2,13 @@
AGENT_ROLE_IDENTIFICATION_AGENT_PROMPT = """ AGENT_ROLE_IDENTIFICATION_AGENT_PROMPT = """
Based on the following idea : ' {user_idea} ' , identify and list the specific types of agents needed for the team . Detail their roles , responsibilities , and capabilities . Based on the following idea : ' {user_idea} ' , identify and list the specific types of agents needed for the team . Detail their roles , responsibilities , and capabilities .
Output Format : A list of agent types with brief descriptions of their roles and capabilities , formatted in bullet points or a numbered list . Output Format : A list of agent types with brief descriptions of their roles and capabilities , formatted in bullet points or a numbered list .
""" """ # noqa: W291, W293
# Prompt for Agent Configuration Agent # Prompt for Agent Configuration Agent
AGENT_CONFIGURATION_AGENT_PROMPT = """ AGENT_CONFIGURATION_AGENT_PROMPT = """
Given these identified agent roles : ' {agent_roles} ' , write SOPs / System Prompts for each agent type . Ensure that each SOP / Prompt is tailored to the specific functionalities of the agent , considering the operational context and objectives of the swarm team . Given these identified agent roles : ' {agent_roles} ' , write SOPs / System Prompts for each agent type . Ensure that each SOP / Prompt is tailored to the specific functionalities of the agent , considering the operational context and objectives of the swarm team .
Output Format : A single Python file of the whole agent team with capitalized constant names for each SOP / Prompt , an equal sign between each agent name and their SOP / Prompt , and triple quotes surrounding the Prompt / SOP content . Follow best - practice prompting standards . Output Format : A single Python file of the whole agent team with capitalized constant names for each SOP / Prompt , an equal sign between each agent name and their SOP / Prompt , and triple quotes surrounding the Prompt / SOP content . Follow best - practice prompting standards .
""" """ # noqa: W291, W293
# Prompt for Swarm Assembly Agent # Prompt for Swarm Assembly Agent
SWARM_ASSEMBLY_AGENT_PROMPT = """ SWARM_ASSEMBLY_AGENT_PROMPT = """
@ -73,13 +73,13 @@ role_identification_output = role_identification_agent.run(user_idea)
agent_configuration_output = agent_configuration_agent . run ( role_identification_output ) agent_configuration_output = agent_configuration_agent . run ( role_identification_output )
swarm_assembly_output = swarm_assembly_agent . run ( agent_configuration_output ) swarm_assembly_output = swarm_assembly_agent . run ( agent_configuration_output )
testing_optimization_output = testing_optimization_agent . run ( swarm_assembly_output ) testing_optimization_output = testing_optimization_agent . run ( swarm_assembly_output )
""" """ # noqa: W291, W293
# Prompt for Testing and Optimization Agent # Prompt for Testing and Optimization Agent
TESTING_OPTIMIZATION_AGENT_PROMPT = """ TESTING_OPTIMIZATION_AGENT_PROMPT = """
Review this Python script for swarm demonstration : ' {swarm_script} ' . Create a testing and optimization plan that includes methods for validating each agent ' s functionality and the overall performance of the swarm. Suggest improvements for efficiency and effectiveness. Review this Python script for swarm demonstration : ' {swarm_script} ' . Create a testing and optimization plan that includes methods for validating each agent ' s functionality and the overall performance of the swarm. Suggest improvements for efficiency and effectiveness.
Output Format : A structured plan in a textual format , outlining testing methodologies , key performance metrics , and optimization strategies . Output Format : A structured plan in a textual format , outlining testing methodologies , key performance metrics , and optimization strategies .
""" """ # noqa: W291, W293
# This file can be imported in the main script to access the prompts. # This file can be imported in the main script to access the prompts.
evelynmitchell
5 months ago