phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-25 18:54:30 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Support temporary budget increases on keys (#7754)

Browse source 
* fix(gpt_transformation.py): fix response_format translation check for 4o models

Fixes https://github.com/BerriAI/litellm/issues/7616

* feat(key_management_endpoints.py): support 'temp_budget_increase' and 'temp_budget_expiry' fields

Allow proxy admin to grant temporary budget increases to keys

* fix(proxy/_types.py): enforce temp_budget_increase and temp_budget_expiry are always passed together

* feat(user_api_key_auth.py): initial working temp budget increase logic

ensures key budget exceeded error checks for temp budget in key metadata

* feat(proxy_server.py): return the key max budget and key spend in the response headers

Allows clientside user to know their remaining limits

* test: add unit testing for new proxy utils

Ensures new key budget is correctly handled

* docs(temporary_budget_increase.md): add doc on temporary budget increase

* fix(utils.py): remove 3.5 from response_format check for now

not all azure  3.5 models support response_format

* fix(user_api_key_auth.py): return valid user api key auth object on all paths
This commit is contained in:
Krish Dholakia 2025-01-14 17:03:11 -08:00 • committed by GitHub
parent 29663c2db5
commit 7b27cfb0ae
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
11 changed files with 259 additions and 52 deletions
Download patch file Download diff file Expand all files Collapse all files

12
litellm/utils.py
View file

@ -1732,9 +1732,15 @@ def supports_response_schema(
Does not raise error. Defaults to 'False'. Outputs logging.error.
"""
## GET LLM PROVIDER ##
model, custom_llm_provider, _, _ = get_llm_provider(
model=model, custom_llm_provider=custom_llm_provider
)
try:
model, custom_llm_provider, _, _ = get_llm_provider(
model=model, custom_llm_provider=custom_llm_provider
)
except Exception as e:
verbose_logger.debug(
f"Model not found or error in checking response schema support. You passed model={model}, custom_llm_provider={custom_llm_provider}. Error: {str(e)}"
)
return False
# providers that globally support response schema
PROVIDERS_GLOBALLY_SUPPORT_RESPONSE_SCHEMA = [