fix(types): don't declare project on the files/batches request TypedDicts

project is a litellm param, not part of the OpenAI request bodies: it is
absorbed by GenericLiteLLMParams from kwargs and forwarded to the client
constructor. Declaring it on CreateFileRequest / LiteLLMBatchCreateRequest
made files.create(**create_file_data) type-check against a key the OpenAI
SDK never accepts (+2 reportCallIssue over the repo budget).

Also regenerates the dashboard schema.d.ts for the LiteLLM_Params /
updateLiteLLMParams project field.

litellm/types/llms/openai.py

@@ -490,7 +490,6 @@ class CreateFileRequest(TypedDict, total=False):
     file: Required[FileTypes]
     purpose: Required[CREATE_FILE_REQUESTS_PURPOSE]
     expires_after: FileExpiresAfter | None
-    project: str | None
     extra_headers: dict[str, str] | None
     extra_body: dict[str, str] | None
     timeout: float | None
@@ -547,7 +546,6 @@ class CreateBatchRequest(TypedDict, total=False):
 class LiteLLMBatchCreateRequest(CreateBatchRequest, total=False):
     model: str
     disable_fallbacks: ReadOnly[bool]
-    project: str | None
 
 
 class RetrieveBatchRequest(TypedDict, total=False):

ui/litellm-dashboard/src/lib/http/schema.d.ts

@@ -33216,6 +33216,8 @@ export interface components {
             output_cost_per_video_token?: number | null;
             /** Output Vector Size */
             output_vector_size?: number | null;
+            /** Project */
+            project?: string | null;
             /** Provider Affinity Header */
             provider_affinity_header?: string | null;
             /** Quality Router Config */
@@ -47011,6 +47013,8 @@ export interface components {
             output_cost_per_video_token?: number | null;
             /** Output Vector Size */
             output_vector_size?: number | null;
+            /** Project */
+            project?: string | null;
             /** Provider Affinity Header */
             provider_affinity_header?: string | null;
             /** Quality Router Config */