Agent

# Declare your Agent
agent = Agent('Smith')
agent.set_token('your openai api token')
agent.set_role('AI program in the Matrix')

# Add Instructions
agent.add_instruction('your written instruction 1')
agent.add_instruction('your written instruction 2')

# Provide Knowledge
agent.set_knowledge('any string')

# If you want to scale it on issues, create a text field and pass set it as follows;
agent.set_state_field('customfield_100xx') 

# This will update the field on issues so you can query the agent state via jql
agent.set_state('Investigating') 

# Ask something to your agent
response = agent.process('any string input')

model = 'gpt-3.5-turbo-16k'
CFG_TEMPERATURE = 0.5
CFG_MAX_TOKENS = 12000
CFG_TOP_P = 0.7
CFG_FREQUENCY_PENALTY = 0.3
CFG_PRESENCE_PENALTY = 0.3

agent.model = 'gpt-3.5-turbo-16k'
agent.CFG_TEMPERATURE = 0.5
agent.CFG_MAX_TOKENS = 11000
agent.CFG_TOP_P = 0.5
agent.CFG_FREQUENCY_PENALTY = 0.0
agent.CFG_PRESENCE_PENALTY = 0.0