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c2141b1113
* feat(batches): track cost for unmanaged Bedrock batches, generalize the flag
CheckBatchCost skipped Bedrock batches whose unified_object_id is a raw
model-invocation-job ARN, the same root cause previously fixed for
unmanaged Vertex batches. Bedrock batches embed the model name in their
s3:// input file name instead (litellm-bedrock-files-{model}-{uuid}.jsonl),
so the same routing mechanism now derives the model from that layout and
matches it to a configured bedrock deployment.
track_unmanaged_vertex_batch_cost is renamed to track_unmanaged_batch_cost
since two providers now share this mechanism.
* fix(batches): parse Bedrock batch output and price with deployment model name
Bedrock model-invocation-job results use modelOutput/error rows and short
internal model ids that are not in the cost map, so unmanaged batch cost
tracking logged tokens but $0 spend. Use deployment model name for pricing
and add regression tests.
Co-authored-by: Cursor <cursoragent@cursor.com>
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Co-authored-by: Cursor <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.)