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BerriAI / litellm UNCLAIMED

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

41086 0 0 Python

UI (new_usage.tsx): Report 'total_tokens' + report success/failure calls (#9675)

* feat(internal_user_endpoints.py): return 'total_tokens' in `/user/daily/analytics`

* test(test_internal_user_endpoints.py): add unit test to assert spend metrics and dailyspend metadata always report the same fields

* build(schema.prisma): record success + failure calls to daily user table

allows understanding why model requests might exceed provider requests (e.g. user hit rate limit error)

* fix(internal_user_endpoints.py): report success / failure requests in API

* fix(proxy/utils.py): default to success

status can be missing or none at times for successful requests

* feat(new_usage.tsx): show success/failure calls on UI

* style(new_usage.tsx): ui cleanup

* fix: fix linting error

* fix: fix linting error

* feat(litellm-proxy-extras/): add new migration files
K
Krish Dholakia committed
62ad84fb6440dcc576ebacdfc8f6fddbbb2efd61
Parent: f2a7eda
Committed by GitHub <noreply@github.com> on 4/1/2025, 5:48:43 AM