Add cost tracking for rerank via bedrock (#8691)

* feat(bedrock/rerank): infer model region if model given as arn

* test: add unit testing to ensure bedrock region name inferred from arn on rerank

* feat(bedrock/rerank/transformation.py): include search units for bedrock rerank result

Resolves https://github.com/BerriAI/litellm/issues/7258#issuecomment-2671557137

* test(test_bedrock_completion.py): add testing for bedrock cohere rerank

* feat(cost_calculator.py): refactor rerank cost tracking to support bedrock cost tracking

* build(model_prices_and_context_window.json): add amazon.rerank model to model cost map

* fix(cost_calculator.py): bedrock/common_utils.py

get base model from model w/ arn -> handles rerank model

* build(model_prices_and_context_window.json): add bedrock cohere rerank pricing

* feat(bedrock/rerank): migrate bedrock config to basererank config

* Revert "feat(bedrock/rerank): migrate bedrock config to basererank config"

This reverts commit 84fae1f167.

* test: add testing to ensure large doc / queries are correctly counted

* Revert "test: add testing to ensure large doc / queries are correctly counted"

This reverts commit 4337f1657e.

* fix(migrate-jina-ai-to-rerank-config): enables cost tracking

* refactor(jina_ai/): finish migrating jina ai to base rerank config

enables cost tracking

* fix(jina_ai/rerank): e2e jina ai rerank cost tracking

* fix: cleanup dead code

* fix: fix python3.8 compatibility error

* test: fix test

* test: add e2e testing for azure ai rerank

* fix: fix linting error

* test: mark cohere as flaky

litellm/utils.py

@@ -6198,6 +6198,8 @@ class ProviderConfigManager:
             return litellm.AzureAIRerankConfig()
         elif litellm.LlmProviders.INFINITY == provider:
             return litellm.InfinityRerankConfig()
+        elif litellm.LlmProviders.JINA_AI == provider:
+            return litellm.JinaAIRerankConfig()
         return litellm.CohereRerankConfig()
 
     @staticmethod