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rename safe_messages to trim_messages

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ishaan-jaff 2023-09-11 18:54:18 -07:00
parent 7d41e701a6
commit dda87a55ff
3 changed files with 12 additions and 12 deletions
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12
litellm/tests/test_utils.py
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@ -10,14 +10,14 @@ sys.path.insert(
) # Adds the parent directory to the system path
import pytest
import litellm
from litellm.utils import safe_messages, get_token_count
from litellm.utils import trim_messages, get_token_count
# Assuming your trim_messages, shorten_message_to_fit_limit, and get_token_count functions are all in a module named 'message_utils'
# Test 1: Check trimming of normal message
def test_basic_trimming():
messages = [{"role": "user", "content": "This is a long message that definitely exceeds the token limit."}]
trimmed_messages = safe_messages(messages, model="claude-2", max_tokens=8)
trimmed_messages = trim_messages(messages, model="claude-2", max_tokens=8)
print("trimmed messages")
print(trimmed_messages)
# print(get_token_count(messages=trimmed_messages, model="claude-2"))
@ -26,7 +26,7 @@ test_basic_trimming()
def test_basic_trimming_no_max_tokens_specified():
messages = [{"role": "user", "content": "This is a long message that is definitely under the token limit."}]
trimmed_messages = safe_messages(messages, model="gpt-4")
trimmed_messages = trim_messages(messages, model="gpt-4")
print("trimmed messages for gpt-4")
print(trimmed_messages)
# print(get_token_count(messages=trimmed_messages, model="claude-2"))
@ -38,7 +38,7 @@ def test_multiple_messages_trimming():
{"role": "user", "content": "This is a long message that will exceed the token limit."},
{"role": "user", "content": "This is another long message that will also exceed the limit."}
]
trimmed_messages = safe_messages(messages=messages, model="gpt-3.5-turbo", max_tokens=20)
trimmed_messages = trim_messages(messages=messages, model="gpt-3.5-turbo", max_tokens=20)
print("Trimmed messages")
print(trimmed_messages)
# print(get_token_count(messages=trimmed_messages, model="gpt-3.5-turbo"))
@ -50,7 +50,7 @@ def test_multiple_messages_no_trimming():
{"role": "user", "content": "This is a long message that will exceed the token limit."},
{"role": "user", "content": "This is another long message that will also exceed the limit."}
]
trimmed_messages = safe_messages(messages=messages, model="gpt-3.5-turbo", max_tokens=100)
trimmed_messages = trim_messages(messages=messages, model="gpt-3.5-turbo", max_tokens=100)
print("Trimmed messages")
print(trimmed_messages)
assert(messages==trimmed_messages)
@ -60,7 +60,7 @@ test_multiple_messages_no_trimming()
def test_large_trimming():
messages = [{"role": "user", "content": "This is a singlelongwordthatexceedsthelimit."}, {"role": "user", "content": "This is a singlelongwordthatexceedsthelimit."},{"role": "user", "content": "This is a singlelongwordthatexceedsthelimit."},{"role": "user", "content": "This is a singlelongwordthatexceedsthelimit."},{"role": "user", "content": "This is a singlelongwordthatexceedsthelimit."}]
trimmed_messages = safe_messages(messages, max_tokens=20, model="random")
trimmed_messages = trim_messages(messages, max_tokens=20, model="random")
print("trimmed messages")
print(trimmed_messages)
assert(get_token_count(messages=trimmed_messages, model="random")) <= 20