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/router.py

@@ -68,10 +68,7 @@ from litellm.router_utils.add_retry_fallback_headers import (
     add_fallback_headers_to_response,
     add_retry_headers_to_response,
 )
-from litellm.router_utils.batch_utils import (
-    _get_router_metadata_variable_name,
-    replace_model_in_jsonl,
-)
+from litellm.router_utils.batch_utils import _get_router_metadata_variable_name
 from litellm.router_utils.client_initalization_utils import InitalizeCachedClient
 from litellm.router_utils.clientside_credential_handler import (
     get_dynamic_litellm_params,
@@ -105,7 +102,12 @@ from litellm.router_utils.router_callbacks.track_deployment_metrics import (
     increment_deployment_successes_for_current_minute,
 )
 from litellm.scheduler import FlowItem, Scheduler
-from litellm.types.llms.openai import AllMessageValues, Batch, FileObject, FileTypes
+from litellm.types.llms.openai import (
+    AllMessageValues,
+    Batch,
+    FileTypes,
+    OpenAIFileObject,
+)
 from litellm.types.router import (
     CONFIGURABLE_CLIENTSIDE_AUTH_PARAMS,
     VALID_LITELLM_ENVIRONMENTS,
@@ -2703,7 +2705,7 @@ class Router:
         self,
         model: str,
         **kwargs,
-    ) -> FileObject:
+    ) -> OpenAIFileObject:
         try:
             kwargs["model"] = model
             kwargs["original_function"] = self._acreate_file
@@ -2727,7 +2729,7 @@ class Router:
         self,
         model: str,
         **kwargs,
-    ) -> FileObject:
+    ) -> OpenAIFileObject:
         try:
             verbose_router_logger.debug(
                 f"Inside _atext_completion()- model: {model}; kwargs: {kwargs}"
@@ -2754,9 +2756,9 @@ class Router:
             stripped_model, custom_llm_provider, _, _ = get_llm_provider(
                 model=data["model"]
             )
-            kwargs["file"] = replace_model_in_jsonl(
-                file_content=kwargs["file"], new_model_name=stripped_model
-            )
+            # kwargs["file"] = replace_model_in_jsonl(
+            #     file_content=kwargs["file"], new_model_name=stripped_model
+            # )
 
             response = litellm.acreate_file(
                 **{
@@ -2796,6 +2798,7 @@ class Router:
             verbose_router_logger.info(
                 f"litellm.acreate_file(model={model_name})\033[32m 200 OK\033[0m"
             )
+
             return response  # type: ignore
         except Exception as e:
             verbose_router_logger.exception(