litellm/tests/local_testing/test_get_llm_provider.py
Ishaan Jaff ab0b536143
(feat) add azure openai cost tracking for prompt caching (#6077)
* add azure o1 models to model cost map

* add azure o1 cost tracking

* fix azure cost calc

* add get llm provider test
2024-10-05 15:04:18 +05:30

126 lines
3.7 KiB
Python

import os
import sys
import traceback
from dotenv import load_dotenv
load_dotenv()
import io
import os
sys.path.insert(
0, os.path.abspath("../..")
) # Adds the parent directory to the system path
import pytest
import litellm
def test_get_llm_provider():
_, response, _, _ = litellm.get_llm_provider(model="anthropic.claude-v2:1")
assert response == "bedrock"
# test_get_llm_provider()
def test_get_llm_provider_fireworks(): # tests finetuned fireworks models - https://github.com/BerriAI/litellm/issues/4923
model, custom_llm_provider, _, _ = litellm.get_llm_provider(
model="fireworks_ai/accounts/my-test-1234"
)
assert custom_llm_provider == "fireworks_ai"
assert model == "accounts/my-test-1234"
def test_get_llm_provider_catch_all():
_, response, _, _ = litellm.get_llm_provider(model="*")
assert response == "openai"
def test_get_llm_provider_gpt_instruct():
_, response, _, _ = litellm.get_llm_provider(model="gpt-3.5-turbo-instruct-0914")
assert response == "text-completion-openai"
def test_get_llm_provider_mistral_custom_api_base():
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="mistral/mistral-large-fr",
api_base="https://mistral-large-fr-ishaan.francecentral.inference.ai.azure.com/v1",
)
assert custom_llm_provider == "mistral"
assert model == "mistral-large-fr"
assert (
api_base
== "https://mistral-large-fr-ishaan.francecentral.inference.ai.azure.com/v1"
)
def test_get_llm_provider_deepseek_custom_api_base():
os.environ["DEEPSEEK_API_BASE"] = "MY-FAKE-BASE"
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="deepseek/deep-chat",
)
assert custom_llm_provider == "deepseek"
assert model == "deep-chat"
assert api_base == "MY-FAKE-BASE"
os.environ.pop("DEEPSEEK_API_BASE")
def test_get_llm_provider_vertex_ai_image_models():
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="imagegeneration@006", custom_llm_provider=None
)
assert custom_llm_provider == "vertex_ai"
def test_get_llm_provider_ai21_chat():
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="jamba-1.5-large",
)
assert custom_llm_provider == "ai21_chat"
assert model == "jamba-1.5-large"
assert api_base == "https://api.ai21.com/studio/v1"
def test_get_llm_provider_ai21_chat_test2():
"""
if user prefix with ai21/ but calls jamba-1.5-large then it should be ai21_chat provider
"""
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="ai21/jamba-1.5-large",
)
print("model=", model)
print("custom_llm_provider=", custom_llm_provider)
print("api_base=", api_base)
assert custom_llm_provider == "ai21_chat"
assert model == "jamba-1.5-large"
assert api_base == "https://api.ai21.com/studio/v1"
def test_get_llm_provider_cohere_chat_test2():
"""
if user prefix with cohere/ but calls command-r-plus then it should be cohere_chat provider
"""
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="cohere/command-r-plus",
)
print("model=", model)
print("custom_llm_provider=", custom_llm_provider)
print("api_base=", api_base)
assert custom_llm_provider == "cohere_chat"
assert model == "command-r-plus"
def test_get_llm_provider_azure_o1():
model, custom_llm_provider, dynamic_api_key, api_base = litellm.get_llm_provider(
model="azure/o1-mini",
)
assert custom_llm_provider == "azure"
assert model == "o1-mini"