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Litellm dev readd prompt caching (#7299)
* fix(router.py): re-add saving model id on prompt caching valid successful deployment * fix(router.py): introduce optional pre_call_checks isolate prompt caching logic in a separate file * fix(prompt_caching_deployment_check.py): fix import * fix(router.py): new 'async_filter_deployments' event hook allows custom logger to filter deployments returned to routing strategy * feat(prompt_caching_deployment_check.py): initial working commit of prompt caching based routing * fix(cooldown_callbacks.py): fix linting error * fix(budget_limiter.py): move budget logger to async_filter_deployment hook * test: add unit test * test(test_router_helper_utils.py): add unit testing * fix(budget_limiter.py): fix linting errors * docs(config_settings.md): add 'optional_pre_call_checks' to router_settings param docs
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12 changed files with 276 additions and 74 deletions
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@ -1058,3 +1058,28 @@ def test_has_default_fallbacks(model_list, has_default_fallbacks, expected_resul
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),
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)
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assert router._has_default_fallbacks() is expected_result
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def test_add_optional_pre_call_checks(model_list):
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router = Router(model_list=model_list)
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router.add_optional_pre_call_checks(["prompt_caching"])
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assert len(litellm.callbacks) > 0
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@pytest.mark.asyncio
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async def test_async_callback_filter_deployments(model_list):
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from litellm.router_strategy.budget_limiter import RouterBudgetLimiting
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router = Router(model_list=model_list)
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healthy_deployments = router.get_model_list(model_name="gpt-3.5-turbo")
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new_healthy_deployments = await router.async_callback_filter_deployments(
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model="gpt-3.5-turbo",
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healthy_deployments=healthy_deployments,
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messages=[],
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parent_otel_span=None,
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)
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assert len(new_healthy_deployments) == len(healthy_deployments)
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