mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
d3ec00b566
Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com> Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
"""Integration tests for the langchain tracer module."""
|
|
import asyncio
|
|
|
|
import pytest
|
|
|
|
from langchain.agents import AgentType, initialize_agent, load_tools
|
|
from langchain.callbacks import get_openai_callback
|
|
from langchain.llms import OpenAI
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_openai_callback() -> None:
|
|
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
|
|
|
|
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
|
|
|
|
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
|
|
|
|
|
|
def test_openai_callback_agent() -> None:
|
|
llm = OpenAI(temperature=0)
|
|
tools = load_tools(["serpapi", "llm-math"], llm=llm)
|
|
agent = initialize_agent(
|
|
tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
|
|
)
|
|
with get_openai_callback() as cb:
|
|
agent.run(
|
|
"Who is Olivia Wilde's boyfriend? "
|
|
"What is his current age raised to the 0.23 power?"
|
|
)
|
|
print(f"Total Tokens: {cb.total_tokens}")
|
|
print(f"Prompt Tokens: {cb.prompt_tokens}")
|
|
print(f"Completion Tokens: {cb.completion_tokens}")
|
|
print(f"Total Cost (USD): ${cb.total_cost}")
|