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https://github.com/BerriAI/litellm.git
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(fix) latency fix - revert prompt caching check on litellm router (#7211)
* attempt to fix latency issue * fix latency issues for router prompt caching
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parent
3de32f4106
commit
7ff9a905d2
2 changed files with 6 additions and 44 deletions
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@ -151,7 +151,6 @@ from litellm.utils import (
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get_llm_provider,
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get_secret,
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get_utc_datetime,
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is_prompt_caching_valid_prompt,
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is_region_allowed,
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)
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@ -3383,30 +3382,6 @@ class Router:
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litellm_router_instance=self,
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deployment_id=id,
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)
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## PROMPT CACHING
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prompt_cache = PromptCachingCache(
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cache=self.cache,
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)
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if (
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standard_logging_object["messages"] is not None
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and isinstance(standard_logging_object["messages"], list)
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and deployment_name is not None
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and isinstance(deployment_name, str)
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):
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valid_prompt = is_prompt_caching_valid_prompt(
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messages=standard_logging_object["messages"], # type: ignore
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tools=None,
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model=deployment_name,
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custom_llm_provider=None,
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)
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if valid_prompt:
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await prompt_cache.async_add_model_id(
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model_id=id,
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messages=standard_logging_object["messages"], # type: ignore
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tools=None,
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)
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return tpm_key
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except Exception as e:
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@ -5339,25 +5314,6 @@ class Router:
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messages=messages,
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request_kwargs=request_kwargs,
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)
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if messages is not None and is_prompt_caching_valid_prompt(
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messages=cast(List[AllMessageValues], messages),
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model=model,
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custom_llm_provider=None,
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):
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prompt_cache = PromptCachingCache(
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cache=self.cache,
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)
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healthy_deployment = (
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await prompt_cache.async_get_prompt_caching_deployment(
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router=self,
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messages=cast(List[AllMessageValues], messages),
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tools=None,
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)
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)
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if healthy_deployment is not None:
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return healthy_deployment
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# check if user wants to do tag based routing
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healthy_deployments = await get_deployments_for_tag( # type: ignore
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llm_router_instance=self,
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@ -603,6 +603,9 @@ def test_is_prompt_caching_enabled(anthropic_messages):
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[("anthropic_messages", True), ("normal_messages", False)],
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)
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@pytest.mark.asyncio()
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@pytest.mark.skip(
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reason="BETA FEATURE - skipping since this led to a latency impact, beta feature that is not used as yet"
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)
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async def test_router_prompt_caching_model_stored(
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messages, expected_model_id, anthropic_messages
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):
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@ -650,6 +653,9 @@ async def test_router_prompt_caching_model_stored(
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@pytest.mark.asyncio()
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@pytest.mark.skip(
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reason="BETA FEATURE - skipping since this led to a latency impact, beta feature that is not used as yet"
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)
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async def test_router_with_prompt_caching(anthropic_messages):
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"""
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if prompt caching supported model called with prompt caching valid prompt,
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