forked from phoenix/litellm-mirror
(perf) Litellm redis router fix - ~100ms improvement (#6483)
* docs(exception_mapping.md): add missing exception types Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183 * fix(main.py): register custom model pricing with specific key Ensure custom model pricing is registered to the specific model+provider key combination * test: make testing more robust for custom pricing * fix(redis_cache.py): instrument otel logging for sync redis calls ensures complete coverage for all redis cache calls * refactor: pass parent_otel_span for redis caching calls in router allows for more observability into what calls are causing latency issues * test: update tests with new params * refactor: ensure e2e otel tracing for router * refactor(router.py): add more otel tracing acrosss router catch all latency issues for router requests * fix: fix linting error * fix(router.py): fix linting error * fix: fix test * test: fix tests * fix(dual_cache.py): pass ttl to redis cache * fix: fix param * perf(cooldown_cache.py): improve cooldown cache, to store cache results in memory for 5s, prevents redis call from being made on each request reduces 100ms latency per call with caching enabled on router * fix: fix test * fix(cooldown_cache.py): handle if a result is None * fix(cooldown_cache.py): add debug statements * refactor(dual_cache.py): move to using an in-memory check for batch get cache, to prevent redis from being hit for every call * fix(cooldown_cache.py): fix linting erropr
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9 changed files with 144 additions and 45 deletions
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@ -135,7 +135,7 @@ def test_get_cache_key_text_completion():
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def test_get_hashed_cache_key():
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cache = Cache()
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cache_key = "model:gpt-3.5-turbo,messages:Hello world"
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hashed_key = cache._get_hashed_cache_key(cache_key)
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hashed_key = Cache._get_hashed_cache_key(cache_key)
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assert len(hashed_key) == 64 # SHA-256 produces a 64-character hex string
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