I now need to calculate 38 raised to the 0.23 power
Action: Calculator
Action Input: 38^0.23Answer: 2.3086081644669734
> Finished chain.
"Rafael Nadal, aged 36, won the US Open men's final in 2019 and his age raised to the 0.334 power is 3.3098250249682484."
Token Counting#
LangChain offers a context manager that allows you to count tokens.
from langchain.callbacks import get_openai_callback
llm = OpenAI(temperature=0)
with get_openai_callback() as cb:
    llm("What is the square root of 4?")
total_tokens = cb.total_tokens
assert total_tokens > 0
with get_openai_callback() as cb:
    llm("What is the square root of 4?")
    llm("What is the square root of 4?")
assert cb.total_tokens == total_tokens * 2
# You can kick off concurrent runs from within the context manager
with get_openai_callback() as cb:
    await asyncio.gather(
        *[llm.agenerate(["What is the square root of 4?"]) for _ in range(3)]
    )
assert cb.total_tokens == total_tokens * 3
# The context manager is concurrency safe
task = asyncio.create_task(llm.agenerate(["What is the square root of 4?"]))
with get_openai_callback() as cb:
    await llm.agenerate(["What is the square root of 4?"])
await task
assert cb.total_tokens == total_tokens
previous
Plan and Execute
next
Autonomous Agents
 Contents
  
Callbacks
How to use callbacks
When do you want to use each of these?
Tags
Using an existing handler
rtdocs_stable/api.python.langchain.com/en/stable/modules/callbacks/getting_started.html