LiteLLM Minor Fixes & Improvements (04/02/2025) (#9725)

* Add date picker to usage tab + Add reasoning_content token tracking across all providers on streaming (#9722)

* feat(new_usage.tsx): add date picker for new usage tab

allow user to look back on their usage data

* feat(anthropic/chat/transformation.py): report reasoning tokens in completion token details

allows usage tracking on how many reasoning tokens are actually being used

* feat(streaming_chunk_builder.py): return reasoning_tokens in anthropic/openai streaming response

allows tracking reasoning_token usage across providers

* Fix update team metadata + fix bulk adding models on Ui  (#9721)

* fix(handle_add_model_submit.tsx): fix bulk adding models

* fix(team_info.tsx): fix team metadata update

Fixes https://github.com/BerriAI/litellm/issues/9689

* (v0) Unified file id - allow calling multiple providers with same file id (#9718)

* feat(files_endpoints.py): initial commit adding 'target_model_names' support

allow developer to specify all the models they want to call with the file

* feat(files_endpoints.py): return unified files endpoint

* test(test_files_endpoints.py): add validation test - if invalid purpose submitted

* feat: more updates

* feat: initial working commit of unified file id translation

* fix: additional fixes

* fix(router.py): remove model replace logic in jsonl on acreate_file

enables file upload to work for chat completion requests as well

* fix(files_endpoints.py): remove whitespace around model name

* fix(azure/handler.py): return acreate_file with correct response type

* fix: fix linting errors

* test: fix mock test to run on github actions

* fix: fix ruff errors

* fix: fix file too large error

* fix(utils.py): remove redundant var

* test: modify test to work on github actions

* test: update tests

* test: more debug logs to understand ci/cd issue

* test: fix test for respx

* test: skip mock respx test

fails on ci/cd - not clear why

* fix: fix ruff check

* fix: fix test

* fix(model_connection_test.tsx): fix linting error

* test: update unit tests

litellm/llms/anthropic/chat/handler.py

@@ -21,7 +21,6 @@ from litellm.llms.custom_httpx.http_handler import (
     get_async_httpx_client,
 )
 from litellm.types.llms.anthropic import (
-    AnthropicChatCompletionUsageBlock,
     ContentBlockDelta,
     ContentBlockStart,
     ContentBlockStop,
@@ -32,13 +31,13 @@ from litellm.types.llms.anthropic import (
 from litellm.types.llms.openai import (
     ChatCompletionThinkingBlock,
     ChatCompletionToolCallChunk,
-    ChatCompletionUsageBlock,
 )
 from litellm.types.utils import (
     Delta,
     GenericStreamingChunk,
     ModelResponseStream,
     StreamingChoices,
+    Usage,
 )
 from litellm.utils import CustomStreamWrapper, ModelResponse, ProviderConfigManager
 
@@ -487,10 +486,8 @@ class ModelResponseIterator:
             return True
         return False
 
-    def _handle_usage(
-        self, anthropic_usage_chunk: Union[dict, UsageDelta]
-    ) -> AnthropicChatCompletionUsageBlock:
-        usage_block = AnthropicChatCompletionUsageBlock(
+    def _handle_usage(self, anthropic_usage_chunk: Union[dict, UsageDelta]) -> Usage:
+        usage_block = Usage(
             prompt_tokens=anthropic_usage_chunk.get("input_tokens", 0),
             completion_tokens=anthropic_usage_chunk.get("output_tokens", 0),
             total_tokens=anthropic_usage_chunk.get("input_tokens", 0)
@@ -581,7 +578,7 @@ class ModelResponseIterator:
             text = ""
             tool_use: Optional[ChatCompletionToolCallChunk] = None
             finish_reason = ""
-            usage: Optional[ChatCompletionUsageBlock] = None
+            usage: Optional[Usage] = None
             provider_specific_fields: Dict[str, Any] = {}
             reasoning_content: Optional[str] = None
             thinking_blocks: Optional[List[ChatCompletionThinkingBlock]] = None