mirror of
https://github.com/tiennm99/litellm.git
synced 2026-06-17 20:48:32 +00:00
David Chen
d1df4e838b
* update bedrock models in tests * updated more tests and model_prices_and_context_window * fix model id and pricing * replace more sonnet models * update tests * git push * update pricing * flaky total cost * monkey patch * relax the cost change * fix and revert some changes * revert the pricing * chore: move cost/pricing changes to bedrock-cost-fixes branch * chore: split Bedrock file-api beta stripping to separate branch Removes strip_unsupported_file_api_betas_for_bedrock_invoke from this branch; see litellm_bedrock_invoke_strip_file_api_betas for that fix. Made-with: Cursor
305 lines
9.0 KiB
Python
305 lines
9.0 KiB
Python
#### What this tests ####
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# This tests the timeout decorator
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import os
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import sys
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import traceback
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import time
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from litellm._uuid import uuid
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import httpx
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import openai
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import pytest
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import litellm
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@pytest.mark.parametrize(
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"model, provider",
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[
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("gpt-3.5-turbo", "openai"),
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("azure/gpt-4.1-mini", "azure"),
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],
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)
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@pytest.mark.parametrize("sync_mode", [True, False])
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@pytest.mark.asyncio
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async def test_httpx_timeout(model, provider, sync_mode):
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"""
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Test if setting httpx.timeout works for completion calls
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"""
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timeout_val = httpx.Timeout(10.0, connect=60.0)
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messages = [{"role": "user", "content": "Hey, how's it going?"}]
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if sync_mode:
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response = litellm.completion(
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model=model, messages=messages, timeout=timeout_val
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)
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else:
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response = await litellm.acompletion(
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model=model, messages=messages, timeout=timeout_val
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)
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print(f"response: {response}")
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def test_timeout():
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# this Will Raise a timeout
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litellm.set_verbose = False
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try:
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response = litellm.completion(
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model="gpt-3.5-turbo",
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timeout=0.01,
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messages=[{"role": "user", "content": "hello, write a 20 pg essay"}],
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)
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except openai.APITimeoutError as e:
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print(
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"Passed: Raised correct exception. Got openai.APITimeoutError\nGood Job", e
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)
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print(type(e))
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pass
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except Exception as e:
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pytest.fail(
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f"Did not raise error `openai.APITimeoutError`. Instead raised error type: {type(e)}, Error: {e}"
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)
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# test_timeout()
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def test_bedrock_timeout():
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# this Will Raise a timeout
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litellm.set_verbose = True
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try:
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response = litellm.completion(
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model="bedrock/us.anthropic.claude-haiku-4-5-20251001-v1:0",
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timeout=0.01,
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messages=[{"role": "user", "content": "hello, write a 20 pg essay"}],
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)
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pytest.fail("Did not raise error `openai.APITimeoutError`")
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except openai.APITimeoutError as e:
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print(
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"Passed: Raised correct exception. Got openai.APITimeoutError\nGood Job", e
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)
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print(type(e))
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pass
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except Exception as e:
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pytest.fail(
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f"Did not raise error `openai.APITimeoutError`. Instead raised error type: {type(e)}, Error: {e}"
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)
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def test_hanging_request_azure():
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"""
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Test that a slow Azure request properly raises APITimeoutError via the Router.
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Uses a mock to simulate a slow HTTP response so the timeout fires reliably,
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rather than racing against real network latency.
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"""
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litellm.set_verbose = True
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import asyncio
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from unittest.mock import AsyncMock, patch
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try:
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router = litellm.Router(
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model_list=[
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{
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"model_name": "azure-gpt",
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"litellm_params": {
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"model": "azure/gpt-4.1-mini",
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"api_base": os.environ["AZURE_AI_API_BASE"],
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"api_key": os.environ["AZURE_AI_API_KEY"],
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},
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},
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{
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"model_name": "openai-gpt",
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"litellm_params": {"model": "gpt-3.5-turbo"},
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},
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],
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num_retries=0,
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)
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encoded = litellm.utils.encode(model="gpt-3.5-turbo", text="blue")[0]
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original_send = httpx.AsyncClient.send
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async def _slow_send(self, request, *args, **kwargs):
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await asyncio.sleep(5)
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return await original_send(self, request, *args, **kwargs)
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async def _test():
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with patch.object(httpx.AsyncClient, "send", new=_slow_send):
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response = await router.acompletion(
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model="azure-gpt",
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messages=[
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{
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"role": "user",
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"content": f"what color is red {uuid.uuid4()}",
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}
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],
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logit_bias={encoded: 100},
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timeout=0.01,
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)
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print(response)
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return response
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response = asyncio.run(_test())
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if response.choices[0].message.content is not None:
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pytest.fail("Got a response, expected a timeout")
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except openai.APITimeoutError as e:
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print(
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"Passed: Raised correct exception. Got openai.APITimeoutError\nGood Job", e
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)
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print(type(e))
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pass
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except Exception as e:
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pytest.fail(
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f"Did not raise error `openai.APITimeoutError`. Instead raised error type: {type(e)}, Error: {e}"
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)
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# test_hanging_request_azure()
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def test_hanging_request_openai():
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litellm.set_verbose = True
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try:
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router = litellm.Router(
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model_list=[
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{
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"model_name": "azure-gpt",
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"litellm_params": {
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"model": "azure/gpt-4.1-mini",
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"api_base": os.environ["AZURE_AI_API_BASE"],
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"api_key": os.environ["AZURE_AI_API_KEY"],
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},
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},
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{
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"model_name": "openai-gpt",
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"litellm_params": {"model": "gpt-3.5-turbo"},
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},
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],
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num_retries=0,
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)
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encoded = litellm.utils.encode(model="gpt-3.5-turbo", text="blue")[0]
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response = router.completion(
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model="openai-gpt",
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messages=[{"role": "user", "content": "what color is red"}],
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logit_bias={encoded: 100},
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timeout=0.01,
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)
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print(response)
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if response.choices[0].message.content is not None:
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pytest.fail("Got a response, expected a timeout")
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except openai.APITimeoutError as e:
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print(
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"Passed: Raised correct exception. Got openai.APITimeoutError\nGood Job", e
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)
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print(type(e))
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pass
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except Exception as e:
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pytest.fail(
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f"Did not raise error `openai.APITimeoutError`. Instead raised error type: {type(e)}, Error: {e}"
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)
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# test_hanging_request_openai()
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# test_timeout()
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def test_timeout_streaming():
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# this Will Raise a timeout
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litellm.set_verbose = False
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try:
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response = litellm.completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "hello, write a 20 pg essay"}],
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timeout=0.0001,
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stream=True,
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)
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for chunk in response:
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print(chunk)
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except openai.APITimeoutError as e:
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print(
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"Passed: Raised correct exception. Got openai.APITimeoutError\nGood Job", e
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)
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print(type(e))
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pass
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except Exception as e:
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pytest.fail(
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f"Did not raise error `openai.APITimeoutError`. Instead raised error type: {type(e)}, Error: {e}"
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)
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# test_timeout_streaming()
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@pytest.mark.skip(reason="local test")
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def test_timeout_ollama():
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# this Will Raise a timeout
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import litellm
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litellm.set_verbose = True
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try:
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litellm.request_timeout = 0.1
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litellm.set_verbose = True
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response = litellm.completion(
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model="ollama/phi",
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messages=[{"role": "user", "content": "hello, what llm are u"}],
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max_tokens=1,
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api_base="https://test-ollama-endpoint.onrender.com",
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)
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# Add any assertions here to check the response
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litellm.request_timeout = None
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print(response)
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except openai.APITimeoutError as e:
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print("got a timeout error! Passed ! ")
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pass
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# test_timeout_ollama()
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@pytest.mark.parametrize("streaming", [True, False])
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@pytest.mark.parametrize("sync_mode", [True, False])
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@pytest.mark.asyncio
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async def test_anthropic_timeout(streaming, sync_mode):
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litellm.set_verbose = False
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try:
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if sync_mode:
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response = litellm.completion(
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model="claude-sonnet-4-5-20250929",
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timeout=0.01,
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messages=[{"role": "user", "content": "hello, write a 20 pg essay"}],
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stream=streaming,
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)
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if isinstance(response, litellm.CustomStreamWrapper):
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for chunk in response:
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pass
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else:
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response = await litellm.acompletion(
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model="claude-sonnet-4-5-20250929",
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timeout=0.01,
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messages=[{"role": "user", "content": "hello, write a 20 pg essay"}],
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stream=streaming,
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)
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if isinstance(response, litellm.CustomStreamWrapper):
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async for chunk in response:
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pass
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pytest.fail("Did not raise error `openai.APITimeoutError`")
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except openai.APITimeoutError as e:
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print(
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"Passed: Raised correct exception. Got openai.APITimeoutError\nGood Job", e
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)
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print(type(e))
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pass
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