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

* 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>

litellm/llms/text_completion_codestral.py

@@ -491,14 +491,9 @@ class CodestralTextCompletion(BaseLLM):
                 message="HTTPStatusError - {}".format(e.response.text),
             )
         except Exception as e:
-            verbose_logger.exception(
-                "litellm.llms.text_completion_codestral.py::async_completion() - Exception occurred - {}".format(
-                    str(e)
-                )
-            )
             raise TextCompletionCodestralError(
                 status_code=500, message="{}".format(str(e))
-            )
+            )  # don't use verbose_logger.exception, if exception is raised
         return self.process_text_completion_response(
             model=model,
             response=response,