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* feat(proxy): track cost for unmanaged Vertex AI batch jobs CheckBatchCost previously skipped Vertex batches created via the raw GCS input_file_id path, since their unified_object_id is a raw provider job id that fails the base64 managed-id check. Behind the opt-in general_settings flag track_unmanaged_vertex_batch_cost, the poller now derives the model from the gs:// input_file_id, maps it to a configured vertex_ai deployment, polls the batch, computes cost, and marks batch_processed=True. * Update tracking for failed", "expired", "cancelled" * fix(proxy): apply ruff format to proxy_server.py * address greptile review feedback (greploop iteration 1) Filter unmanaged Vertex batch deployments by vertex_ai provider so a shared model group name can't route to a wrong-provider deployment. Move gs:// URI parsing into VertexAIBatchTransformation. Add test coverage for the failed/expired/cancelled terminal-status DB update. * fix: route unmanaged vertex batches to matching deployment --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> |
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| .. | ||
| auth | ||
| common_utils | ||
| hooks | ||
| management_endpoints | ||
| ui_crud_endpoints | ||
| vector_stores | ||
| __init__.py | ||
| audit_logging_endpoints.py | ||
| enterprise_routes.py | ||
| proxy_server.py | ||
| readme.md | ||
| utils.py | ||
LiteLLM Proxy Enterprise Features - Readme
Overview
This directory contains enterprise features used on the LiteLLM proxy.
Format
Create a file for every group of endpoints (e.g. key_management_endpoints.py, user_management_endpoints.py, etc.)
If there is a broader semantic group of endpoints, create a folder for that group (e.g. management_endpoints, auth_endpoints, etc.)