forked from phoenix/litellm-mirror
LiteLLM Minor Fixes & Improvements (11/26/2024) (#6913)
* docs(config_settings.md): document all router_settings * ci(config.yml): add router_settings doc test to ci/cd * test: debug test on ci/cd * test: debug ci/cd test * test: fix test * fix(team_endpoints.py): skip invalid team object. don't fail `/team/list` call Causes downstream errors if ui just fails to load team list * test(base_llm_unit_tests.py): add 'response_format={"type": "text"}' test to base_llm_unit_tests adds complete coverage for all 'response_format' values to ci/cd * feat(router.py): support wildcard routes in `get_router_model_info()` Addresses https://github.com/BerriAI/litellm/issues/6914 * build(model_prices_and_context_window.json): add tpm/rpm limits for all gemini models Allows for ratelimit tracking for gemini models even with wildcard routing enabled Addresses https://github.com/BerriAI/litellm/issues/6914 * feat(router.py): add tpm/rpm tracking on success/failure to global_router Addresses https://github.com/BerriAI/litellm/issues/6914 * feat(router.py): support wildcard routes on router.get_model_group_usage() * fix(router.py): fix linting error * fix(router.py): implement get_remaining_tokens_and_requests Addresses https://github.com/BerriAI/litellm/issues/6914 * fix(router.py): fix linting errors * test: fix test * test: fix tests * docs(config_settings.md): add missing dd env vars to docs * fix(router.py): check if hidden params is dict
This commit is contained in:
parent
5d13302e6b
commit
2d2931a215
22 changed files with 878 additions and 131 deletions
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@ -46,17 +46,22 @@ print(env_keys)
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repo_base = "./"
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print(os.listdir(repo_base))
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docs_path = (
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"../../docs/my-website/docs/proxy/config_settings.md" # Path to the documentation
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"./docs/my-website/docs/proxy/config_settings.md" # Path to the documentation
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)
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documented_keys = set()
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try:
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with open(docs_path, "r", encoding="utf-8") as docs_file:
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content = docs_file.read()
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print(f"content: {content}")
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# Find the section titled "general_settings - Reference"
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general_settings_section = re.search(
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r"### environment variables - Reference(.*?)###", content, re.DOTALL
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r"### environment variables - Reference(.*?)(?=\n###|\Z)",
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content,
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re.DOTALL | re.MULTILINE,
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)
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print(f"general_settings_section: {general_settings_section}")
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if general_settings_section:
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# Extract the table rows, which contain the documented keys
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table_content = general_settings_section.group(1)
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@ -70,6 +75,7 @@ except Exception as e:
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)
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print(f"documented_keys: {documented_keys}")
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# Compare and find undocumented keys
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undocumented_keys = env_keys - documented_keys
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87
tests/documentation_tests/test_router_settings.py
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87
tests/documentation_tests/test_router_settings.py
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@ -0,0 +1,87 @@
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import os
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import re
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import inspect
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from typing import Type
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import sys
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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 litellm
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def get_init_params(cls: Type) -> list[str]:
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"""
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Retrieve all parameters supported by the `__init__` method of a given class.
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Args:
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cls: The class to inspect.
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Returns:
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A list of parameter names.
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"""
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if not hasattr(cls, "__init__"):
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raise ValueError(
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f"The provided class {cls.__name__} does not have an __init__ method."
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)
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init_method = cls.__init__
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argspec = inspect.getfullargspec(init_method)
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# The first argument is usually 'self', so we exclude it
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return argspec.args[1:] # Exclude 'self'
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router_init_params = set(get_init_params(litellm.router.Router))
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print(router_init_params)
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router_init_params.remove("model_list")
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# Parse the documentation to extract documented keys
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repo_base = "./"
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print(os.listdir(repo_base))
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docs_path = (
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"./docs/my-website/docs/proxy/config_settings.md" # Path to the documentation
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)
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# docs_path = (
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# "../../docs/my-website/docs/proxy/config_settings.md" # Path to the documentation
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# )
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documented_keys = set()
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try:
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with open(docs_path, "r", encoding="utf-8") as docs_file:
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content = docs_file.read()
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# Find the section titled "general_settings - Reference"
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general_settings_section = re.search(
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r"### router_settings - Reference(.*?)###", content, re.DOTALL
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)
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if general_settings_section:
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# Extract the table rows, which contain the documented keys
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table_content = general_settings_section.group(1)
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doc_key_pattern = re.compile(
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r"\|\s*([^\|]+?)\s*\|"
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) # Capture the key from each row of the table
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documented_keys.update(doc_key_pattern.findall(table_content))
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except Exception as e:
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raise Exception(
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f"Error reading documentation: {e}, \n repo base - {os.listdir(repo_base)}"
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)
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# Compare and find undocumented keys
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undocumented_keys = router_init_params - documented_keys
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# Print results
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print("Keys expected in 'router settings' (found in code):")
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for key in sorted(router_init_params):
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print(key)
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if undocumented_keys:
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raise Exception(
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f"\nKeys not documented in 'router settings - Reference': {undocumented_keys}"
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)
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else:
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print(
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"\nAll keys are documented in 'router settings - Reference'. - {}".format(
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router_init_params
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)
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)
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@ -62,7 +62,14 @@ class BaseLLMChatTest(ABC):
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response = litellm.completion(**base_completion_call_args, messages=messages)
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assert response is not None
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def test_json_response_format(self):
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@pytest.mark.parametrize(
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"response_format",
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[
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{"type": "json_object"},
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{"type": "text"},
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],
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)
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def test_json_response_format(self, response_format):
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"""
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Test that the JSON response format is supported by the LLM API
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"""
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@ -83,7 +90,7 @@ class BaseLLMChatTest(ABC):
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response = litellm.completion(
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**base_completion_call_args,
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messages=messages,
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response_format={"type": "json_object"},
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response_format=response_format,
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)
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print(response)
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@ -102,3 +102,17 @@ def test_get_model_info_ollama_chat():
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print(mock_client.call_args.kwargs)
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assert mock_client.call_args.kwargs["json"]["name"] == "mistral"
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def test_get_model_info_gemini():
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"""
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Tests if ALL gemini models have 'tpm' and 'rpm' in the model info
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"""
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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model_map = litellm.model_cost
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for model, info in model_map.items():
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if model.startswith("gemini/") and not "gemma" in model:
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assert info.get("tpm") is not None, f"{model} does not have tpm"
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assert info.get("rpm") is not None, f"{model} does not have rpm"
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@ -2115,10 +2115,14 @@ def test_router_get_model_info(model, base_model, llm_provider):
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assert deployment is not None
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if llm_provider == "openai" or (base_model is not None and llm_provider == "azure"):
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router.get_router_model_info(deployment=deployment.to_json())
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router.get_router_model_info(
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deployment=deployment.to_json(), received_model_name=model
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)
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else:
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try:
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router.get_router_model_info(deployment=deployment.to_json())
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router.get_router_model_info(
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deployment=deployment.to_json(), received_model_name=model
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)
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pytest.fail("Expected this to raise model not mapped error")
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except Exception as e:
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if "This model isn't mapped yet" in str(e):
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@ -174,3 +174,185 @@ async def test_update_kwargs_before_fallbacks(call_type):
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print(mock_client.call_args.kwargs)
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assert mock_client.call_args.kwargs["litellm_trace_id"] is not None
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def test_router_get_model_info_wildcard_routes():
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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router = Router(
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model_list=[
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{
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"model_name": "gemini/*",
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"litellm_params": {"model": "gemini/*"},
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"model_info": {"id": 1},
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},
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]
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)
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model_info = router.get_router_model_info(
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deployment=None, received_model_name="gemini/gemini-1.5-flash", id="1"
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)
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print(model_info)
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assert model_info is not None
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assert model_info["tpm"] is not None
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assert model_info["rpm"] is not None
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@pytest.mark.asyncio
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async def test_router_get_model_group_usage_wildcard_routes():
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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router = Router(
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model_list=[
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{
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"model_name": "gemini/*",
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"litellm_params": {"model": "gemini/*"},
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"model_info": {"id": 1},
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},
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]
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)
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resp = await router.acompletion(
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model="gemini/gemini-1.5-flash",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="Hello, I'm good.",
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)
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print(resp)
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await asyncio.sleep(1)
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tpm, rpm = await router.get_model_group_usage(model_group="gemini/gemini-1.5-flash")
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assert tpm is not None, "tpm is None"
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assert rpm is not None, "rpm is None"
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@pytest.mark.asyncio
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async def test_call_router_callbacks_on_success():
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router = Router(
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model_list=[
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{
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"model_name": "gemini/*",
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"litellm_params": {"model": "gemini/*"},
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"model_info": {"id": 1},
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},
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]
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)
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with patch.object(
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router.cache, "async_increment_cache", new=AsyncMock()
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) as mock_callback:
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await router.acompletion(
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model="gemini/gemini-1.5-flash",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="Hello, I'm good.",
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)
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await asyncio.sleep(1)
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assert mock_callback.call_count == 2
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assert (
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mock_callback.call_args_list[0]
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.kwargs["key"]
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.startswith("global_router:1:gemini/gemini-1.5-flash:tpm")
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)
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assert (
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mock_callback.call_args_list[1]
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.kwargs["key"]
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.startswith("global_router:1:gemini/gemini-1.5-flash:rpm")
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)
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@pytest.mark.asyncio
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async def test_call_router_callbacks_on_failure():
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router = Router(
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model_list=[
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{
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"model_name": "gemini/*",
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"litellm_params": {"model": "gemini/*"},
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"model_info": {"id": 1},
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},
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]
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)
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with patch.object(
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router.cache, "async_increment_cache", new=AsyncMock()
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) as mock_callback:
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with pytest.raises(litellm.RateLimitError):
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await router.acompletion(
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model="gemini/gemini-1.5-flash",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="litellm.RateLimitError",
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num_retries=0,
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)
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await asyncio.sleep(1)
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print(mock_callback.call_args_list)
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assert mock_callback.call_count == 1
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assert (
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mock_callback.call_args_list[0]
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.kwargs["key"]
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.startswith("global_router:1:gemini/gemini-1.5-flash:rpm")
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)
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@pytest.mark.asyncio
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async def test_router_model_group_headers():
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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from litellm.types.utils import OPENAI_RESPONSE_HEADERS
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router = Router(
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model_list=[
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{
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"model_name": "gemini/*",
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"litellm_params": {"model": "gemini/*"},
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"model_info": {"id": 1},
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}
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]
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)
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for _ in range(2):
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resp = await router.acompletion(
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model="gemini/gemini-1.5-flash",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="Hello, I'm good.",
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)
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await asyncio.sleep(1)
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assert (
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resp._hidden_params["additional_headers"]["x-litellm-model-group"]
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== "gemini/gemini-1.5-flash"
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)
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assert "x-ratelimit-remaining-requests" in resp._hidden_params["additional_headers"]
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assert "x-ratelimit-remaining-tokens" in resp._hidden_params["additional_headers"]
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@pytest.mark.asyncio
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async def test_get_remaining_model_group_usage():
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os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
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litellm.model_cost = litellm.get_model_cost_map(url="")
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from litellm.types.utils import OPENAI_RESPONSE_HEADERS
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router = Router(
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model_list=[
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{
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"model_name": "gemini/*",
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"litellm_params": {"model": "gemini/*"},
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"model_info": {"id": 1},
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}
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]
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)
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for _ in range(2):
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await router.acompletion(
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model="gemini/gemini-1.5-flash",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="Hello, I'm good.",
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)
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await asyncio.sleep(1)
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remaining_usage = await router.get_remaining_model_group_usage(
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model_group="gemini/gemini-1.5-flash"
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)
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assert remaining_usage is not None
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assert "x-ratelimit-remaining-requests" in remaining_usage
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assert "x-ratelimit-remaining-tokens" in remaining_usage
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@ -506,7 +506,7 @@ async def test_router_caching_ttl():
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) as mock_client:
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await router.acompletion(model=model, messages=messages)
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mock_client.assert_called_once()
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# mock_client.assert_called_once()
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print(f"mock_client.call_args.kwargs: {mock_client.call_args.kwargs}")
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print(f"mock_client.call_args.args: {mock_client.call_args.args}")
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|
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@ -396,7 +396,8 @@ async def test_deployment_callback_on_success(model_list, sync_mode):
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assert tpm_key is not None
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def test_deployment_callback_on_failure(model_list):
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@pytest.mark.asyncio
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async def test_deployment_callback_on_failure(model_list):
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"""Test if the '_deployment_callback_on_failure' function is working correctly"""
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import time
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@ -418,6 +419,18 @@ def test_deployment_callback_on_failure(model_list):
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assert isinstance(result, bool)
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assert result is False
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model_response = router.completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "Hello, how are you?"}],
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mock_response="I'm fine, thank you!",
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)
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result = await router.async_deployment_callback_on_failure(
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kwargs=kwargs,
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completion_response=model_response,
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start_time=time.time(),
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end_time=time.time(),
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)
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def test_log_retry(model_list):
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"""Test if the '_log_retry' function is working correctly"""
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|
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