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drop litellm version to prevent windows issue (#1878)

Browse Source 
* drop litellm version to prevent windows issue

* Fix failing tests

* Trying to fix tests

* clean up

* Trying to fix tests

* Drop token calc handler changes

* fix failing test

* Fix failing test

---------

Co-authored-by: João Moura <joaomdmoura@gmail.com>
This commit is contained in:
Brandon Hancock (bhancock_ai)
2025-01-14 13:06:47 -05:00
committed by GitHub
parent 75e68f6fc8
commit 8ceeec7d36
10 changed files with 2232 additions and 147 deletions
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2
pyproject.toml
View File

@@ -11,7 +11,7 @@ dependencies = [
# Core Dependencies
"pydantic>=2.4.2",
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"instructor>=1.3.3",
# Text Processing

4
src/crewai/utilities/llm_utils.py
View File

@@ -1,11 +1,7 @@
import os
from typing import Any, Dict, List, Optional, Union
from packaging import version
from crewai.cli.constants import DEFAULT_LLM_MODEL, ENV_VARS, LITELLM_PARAMS
from crewai.cli.utils import read_toml
from crewai.cli.version import get_crewai_version
from crewai.llm import LLM

2
tests/agent_test.py
View File

@@ -1495,7 +1495,7 @@ def test_agent_execute_task_basic():
role="test role",
goal="test goal",
backstory="test backstory",
llm=LLM(model="gpt-3.5-turbo"),
llm="gpt-4o-mini",
)
task = Task(

70
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other rights \\nowned by Meta embodied in the Llama Materials to use, reproduce,
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you distribute or make available the Llama Materials (or any derivative works
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or any derivative works thereof, from a Licensee as part\\nof an integrated
end user product, then Section 2 of this Agreement will not apply to you. \\n\\n
\ iii. You must retain in all copies of the Llama Materials that you distribute
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UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND \\nRESULTS
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IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES\\nOF TITLE, NON-INFRINGEMENT,
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\\nFOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL,
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owned by or associated with the other or any of its affiliates, \\nexcept as
required for reasonable and customary use in describing and redistributing the
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you a license to use \u201CLlama\u201D (the \u201CMark\u201D) solely as required
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tests/llm_test.py
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from time import sleep
import pytest
from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
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from crewai.utilities.token_counter_callback import TokenCalcHandler
# TODO: This test fails without print statement, which makes me think that something is happening asynchronously that we need to eventually fix and dive deeper into at a later date
@pytest.mark.vcr(filter_headers=["authorization"])
def test_llm_callback_replacement():
llm = LLM(model="gpt-4o-mini")
llm1 = LLM(model="gpt-4o-mini")
llm2 = LLM(model="gpt-4o-mini")
calc_handler_1 = TokenCalcHandler(token_cost_process=TokenProcess())
calc_handler_2 = TokenCalcHandler(token_cost_process=TokenProcess())
llm.call(
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llm.call(
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callbacks=[calc_handler_2],
)
sleep(5)
print("result2:", result2)
usage_metrics_2 = calc_handler_2.token_cost_process.get_summary()
print("usage_metrics_2:", usage_metrics_2)
# The first handler should not have been updated
assert usage_metrics_1.successful_requests == 1

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