Open jonny7737 opened 2 months ago
I'm having the same issue. I looked at the code and I think I found where the issue lies.
In agent.py, there is this piece of code.
@model_validator(mode="after")
def set_agent_executor(self) -> "Agent":
"""set agent executor is set."""
if hasattr(self.llm, "model_name"):
self.llm.callbacks = [
TokenCalcHandler(self.llm.model_name, self._token_process)
]
if not self.agent_executor:
self.set_cache_handler(self.cache_handler)
return self
In my case, if hasattr(self.llm, "model_name"):
would return false since the Claude 3 model doesn't contain the model_name attribute.
I am using the langchain_aws ChatBedrock class to instantiate my LLM.
crewai version: 0.28.8 langchain-aws: 0.1.3
I am building a crew trask/agent by task/agent (one at a time). This process works but is a little chatty. Chatty makes me curious about usage so I asked - response from crew.usage_metrics: {'total_tokens': 0, 'prompt_tokens': 0, 'completion_tokens': 0, 'successful_requests': 0}
How do I get usage stats when using a Claude-3 model?