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LiteLLM Minor fixes + improvements (08/04/2024) (#5505)

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* Minor IAM AWS OIDC Improvements (#5246)

* AWS IAM: Temporary tokens are valid across all regions after being issued, so it is wasteful to request one for each region.

* AWS IAM: Include an inline policy, to help reduce misuse of overly permissive IAM roles.

* (test_bedrock_completion.py): Ensure we are testing cross AWS region OIDC flow.

* fix(router.py): log rejected requests

Fixes https://github.com/BerriAI/litellm/issues/5498

* refactor: don't use verbose_logger.exception, if exception is raised

User might already have handling for this. But alerting systems in prod will raise this as an unhandled error.

* fix(datadog.py): support setting datadog source as an env var

Fixes https://github.com/BerriAI/litellm/issues/5508

* docs(logging.md): add dd_source to datadog docs

* fix(proxy_server.py): expose `/customer/list` endpoint for showing all customers

* (bedrock): Fix usage with Cloudflare AI Gateway, and proxies in general. (#5509)

* feat(anthropic.py): support 'cache_control' param for content when it is a string

* Revert "(bedrock): Fix usage with Cloudflare AI Gateway, and proxies in gener…" (#5519)

This reverts commit 3fac0349c2.

* refactor: ci/cd run again

---------

Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
This commit is contained in:
Krish Dholakia 2024-09-04 22:16:55 -07:00 • committed by GitHub
parent 5d7179ac5f
commit 6fdee99632
24 changed files with 383 additions and 247 deletions
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15
litellm/utils.py
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@ -8547,11 +8547,6 @@ class CustomStreamWrapper:
"finish_reason": finish_reason,
}
except Exception as e:
verbose_logger.exception(
"litellm.CustomStreamWrapper.handle_predibase_chunk(): Exception occured - {}".format(
str(e)
)
)
raise e
def handle_huggingface_chunk(self, chunk):
@ -8595,11 +8590,6 @@ class CustomStreamWrapper:
"finish_reason": finish_reason,
}
except Exception as e:
verbose_logger.exception(
"litellm.CustomStreamWrapper.handle_huggingface_chunk(): Exception occured - {}".format(
str(e)
)
)
raise e
def handle_ai21_chunk(self, chunk): # fake streaming
@ -8826,11 +8816,6 @@ class CustomStreamWrapper:
"usage": usage,
}
except Exception as e:
verbose_logger.exception(
"litellm.CustomStreamWrapper.handle_openai_chat_completion_chunk(): Exception occured - {}".format(
str(e)
)
)
raise e
def handle_azure_text_completion_chunk(self, chunk):