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from python.helpers import files, memory
from python.helpers.tool import Tool, Response
from agent import Agent
from python.helpers.log import LogItem
class UpdateBehaviour(Tool):
async def execute(self, adjustments="", **kwargs):
# stringify adjustments if needed
if not isinstance(adjustments, str):
adjustments = str(adjustments)
await update_behaviour(self.agent, self.log, adjustments)
return Response(
message=self.agent.read_prompt("behaviour.updated.md"), break_loop=False
)
# async def before_execution(self, **kwargs):
# pass
# async def after_execution(self, response, **kwargs):
# pass
async def update_behaviour(agent: Agent, log_item: LogItem, adjustments: str):
# get system message and current ruleset
system = agent.read_prompt("behaviour.merge.sys.md")
current_rules = read_rules(agent)
# log query streamed by LLM
async def log_callback(content):
log_item.stream(ruleset=content)
msg = agent.read_prompt(
"behaviour.merge.msg.md", current_rules=current_rules, adjustments=adjustments
)
# call util llm to find solutions in history
adjustments_merge = await agent.call_utility_model(
system=system,
message=msg,
callback=log_callback,
)
# update rules file
rules_file = get_custom_rules_file(agent)
files.write_file(rules_file, adjustments_merge)
log_item.update(result="Behaviour updated")
def get_custom_rules_file(agent: Agent):
return files.get_abs_path(memory.get_memory_subdir_abs(agent), "behaviour.md")
def read_rules(agent: Agent):
rules_file = get_custom_rules_file(agent)
if files.exists(rules_file):
rules = files.read_prompt_file(rules_file)
return agent.read_prompt("agent.system.behaviour.md", rules=rules)
else:
rules = agent.read_prompt("agent.system.behaviour_default.md")
return agent.read_prompt("agent.system.behaviour.md", rules=rules)
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