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fix(router.py): add support for context window fallbacks on router

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This commit is contained in:
Krrish Dholakia 2023-11-23 16:41:45 -08:00
parent a1bb880872
commit c273d6f0d6
3 changed files with 65 additions and 104 deletions
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41
litellm/tests/test_router_fallbacks.py
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@ -23,6 +23,17 @@ model_list = [
"tpm": 240000,
"rpm": 1800
},
{ # list of model deployments
"model_name": "azure/gpt-3.5-turbo-context-fallback", # openai model name
"litellm_params": { # params for litellm completion/embedding call
"model": "azure/chatgpt-v-2",
"api_key": "bad-key",
"api_version": os.getenv("AZURE_API_VERSION"),
"api_base": os.getenv("AZURE_API_BASE")
},
"tpm": 240000,
"rpm": 1800
},
{
"model_name": "azure/gpt-3.5-turbo", # openai model name
"litellm_params": { # params for litellm completion/embedding call
@ -42,21 +53,35 @@ model_list = [
},
"tpm": 1000000,
"rpm": 9000
},
{
"model_name": "gpt-3.5-turbo-16k", # openai model name
"litellm_params": { # params for litellm completion/embedding call
"model": "gpt-3.5-turbo-16k",
"api_key": os.getenv("OPENAI_API_KEY"),
},
"tpm": 1000000,
"rpm": 9000
}
]
router = Router(model_list=model_list, fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}])
router = Router(model_list=model_list,
fallbacks=[{"azure/gpt-3.5-turbo": ["gpt-3.5-turbo"]}],
context_window_fallbacks=[{"azure/gpt-3.5-turbo-context-fallback": ["gpt-3.5-turbo-16k"]}, {"gpt-3.5-turbo": ["gpt-3.5-turbo-16k"]}],
set_verbose=True)
kwargs = {"model": "azure/gpt-3.5-turbo", "messages": [{"role": "user", "content":"Hey, how's it going?"}]}
def test_sync_fallbacks():
try:
litellm.set_verbose = True
response = router.completion(**kwargs)
print(f"response: {response}")
except Exception as e:
print(e)
test_sync_fallbacks()
def test_async_fallbacks():
litellm.set_verbose = False
@ -74,4 +99,16 @@ def test_async_fallbacks():
asyncio.run(test_get_response())
# test_async_fallbacks()
# test_async_fallbacks()
def test_sync_context_window_fallbacks():
try:
sample_text = "Say error 50 times" * 10000
kwargs["model"] = "azure/gpt-3.5-turbo-context-fallback"
kwargs["messages"] = [{"role": "user", "content": sample_text}]
response = router.completion(**kwargs)
print(f"response: {response}")
except Exception as e:
print(e)
# test_sync_context_window_fallbacks()