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Litellm dev 11 30 2024 (#6974)

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* feat(cohere/chat.py): return citations in model response

Closes https://github.com/BerriAI/litellm/issues/6814

* fix(cohere/chat.py): fix linting errors

* fix(langsmith.py): support 'run_id' for langsmith

Fixes https://github.com/BerriAI/litellm/issues/6862

* fix(langsmith.py): fix langsmith quickstart

Fixes https://github.com/BerriAI/litellm/issues/6861

* fix: suppress linting error

* LiteLLM Minor Fixes & Improvements (11/29/2024)  (#6965)

* fix(factory.py): ensure tool call converts image url

Fixes https://github.com/BerriAI/litellm/issues/6953

* fix(transformation.py): support mp4 + pdf url's for vertex ai

Fixes https://github.com/BerriAI/litellm/issues/6936

* fix(http_handler.py): mask gemini api key in error logs

Fixes https://github.com/BerriAI/litellm/issues/6963

* docs(prometheus.md): update prometheus FAQs

* feat(auth_checks.py): ensure specific model access > wildcard model access

if wildcard model is in access group, but specific model is not - deny access

* fix(auth_checks.py): handle auth checks for team based model access groups

handles scenario where model access group used for wildcard models

* fix(internal_user_endpoints.py): support adding guardrails on `/user/update`

Fixes https://github.com/BerriAI/litellm/issues/6942

* fix(key_management_endpoints.py): fix prepare_metadata_fields helper

* fix: fix tests

* build(requirements.txt): bump openai dep version

fixes proxies argument

* test: fix tests

* fix(http_handler.py): fix error message masking

* fix(bedrock_guardrails.py): pass in prepped data

* test: fix test

* test: fix nvidia nim test

* fix(http_handler.py): return original response headers

* fix: revert maskedhttpstatuserror

* test: update tests

* test: cleanup test

* fix(key_management_endpoints.py): fix metadata field update logic

* fix(key_management_endpoints.py): maintain initial order of guardrails in key update

* fix(key_management_endpoints.py): handle prepare metadata

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix: fix key management errors

* fix(key_management_endpoints.py): update metadata

* test: update test

* refactor: add more debug statements

* test: skip flaky test

* test: fix test

* fix: fix test

* fix: fix update metadata logic

* fix: fix test

* ci(config.yml): change db url for e2e ui testing

* test: add more debug logs to langsmith

* fix: test change

* build(config.yml): fix db url

'
This commit is contained in:
Krish Dholakia 2024-12-02 21:03:33 -08:00 • committed by GitHub
parent 4ce9df6ad2
commit 1c8010bf57
13 changed files with 366 additions and 288 deletions
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13
litellm/integrations/custom_batch_logger.py
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@ -8,20 +8,18 @@ import asyncio
import time
from typing import List, Literal, Optional
import litellm
from litellm._logging import verbose_logger
from litellm.integrations.custom_logger import CustomLogger
DEFAULT_BATCH_SIZE = 512
DEFAULT_FLUSH_INTERVAL_SECONDS = 5
class CustomBatchLogger(CustomLogger):
def __init__(
self,
flush_lock: Optional[asyncio.Lock] = None,
batch_size: Optional[int] = DEFAULT_BATCH_SIZE,
flush_interval: Optional[int] = DEFAULT_FLUSH_INTERVAL_SECONDS,
batch_size: Optional[int] = None,
flush_interval: Optional[int] = None,
**kwargs,
) -> None:
"""
@ -29,13 +27,12 @@ class CustomBatchLogger(CustomLogger):
flush_lock (Optional[asyncio.Lock], optional): Lock to use when flushing the queue. Defaults to None. Only used for custom loggers that do batching
"""
self.log_queue: List = []
self.flush_interval = flush_interval or DEFAULT_FLUSH_INTERVAL_SECONDS
self.batch_size: int = batch_size or DEFAULT_BATCH_SIZE
self.flush_interval = flush_interval or litellm.DEFAULT_FLUSH_INTERVAL_SECONDS
self.batch_size: int = batch_size or litellm.DEFAULT_BATCH_SIZE
self.last_flush_time = time.time()
self.flush_lock = flush_lock
super().__init__(**kwargs)
pass
async def periodic_flush(self):
while True: