litellm/litellm/_logging.py
Krish Dholakia f79365df6e
LiteLLM Minor Fixes & Improvements (10/30/2024) (#6519)
* refactor: move gemini translation logic inside the transformation.py file

easier to isolate the gemini translation logic

* fix(gemini-transformation): support multiple tool calls in message body

Merges https://github.com/BerriAI/litellm/pull/6487/files

* test(test_vertex.py): add remaining tests from https://github.com/BerriAI/litellm/pull/6487

* fix(gemini-transformation): return tool calls for multiple tool calls

* fix: support passing logprobs param for vertex + gemini

* feat(vertex_ai): add logprobs support for gemini calls

* fix(anthropic/chat/transformation.py): fix disable parallel tool use flag

* fix: fix linting error

* fix(_logging.py): log stacktrace information in json logs

Closes https://github.com/BerriAI/litellm/issues/6497

* fix(utils.py): fix mem leak for async stream + completion

Uses a global executor pool instead of creating a new thread on each request

Fixes https://github.com/BerriAI/litellm/issues/6404

* fix(factory.py): handle tool call + content in assistant message for bedrock

* fix: fix import

* fix(factory.py): maintain support for content as a str in assistant response

* fix: fix import

* test: cleanup test

* fix(vertex_and_google_ai_studio/): return none for content if no str value

* test: retry flaky tests

* (UI) Fix viewing members, keys in a team + added testing  (#6514)

* fix listing teams on ui

* LiteLLM Minor Fixes & Improvements (10/28/2024)  (#6475)

* fix(anthropic/chat/transformation.py): support anthropic disable_parallel_tool_use param

Fixes https://github.com/BerriAI/litellm/issues/6456

* feat(anthropic/chat/transformation.py): support anthropic computer tool use

Closes https://github.com/BerriAI/litellm/issues/6427

* fix(vertex_ai/common_utils.py): parse out '$schema' when calling vertex ai

Fixes issue when trying to call vertex from vercel sdk

* fix(main.py): add 'extra_headers' support for azure on all translation endpoints

Fixes https://github.com/BerriAI/litellm/issues/6465

* fix: fix linting errors

* fix(transformation.py): handle no beta headers for anthropic

* test: cleanup test

* fix: fix linting error

* fix: fix linting errors

* fix: fix linting errors

* fix(transformation.py): handle dummy tool call

* fix(main.py): fix linting error

* fix(azure.py): pass required param

* LiteLLM Minor Fixes & Improvements (10/24/2024) (#6441)

* fix(azure.py): handle /openai/deployment in azure api base

* fix(factory.py): fix faulty anthropic tool result translation check

Fixes https://github.com/BerriAI/litellm/issues/6422

* fix(gpt_transformation.py): add support for parallel_tool_calls to azure

Fixes https://github.com/BerriAI/litellm/issues/6440

* fix(factory.py): support anthropic prompt caching for tool results

* fix(vertex_ai/common_utils): don't pop non-null required field

Fixes https://github.com/BerriAI/litellm/issues/6426

* feat(vertex_ai.py): support code_execution tool call for vertex ai + gemini

Closes https://github.com/BerriAI/litellm/issues/6434

* build(model_prices_and_context_window.json): Add 'supports_assistant_prefill' for bedrock claude-3-5-sonnet v2 models

Closes https://github.com/BerriAI/litellm/issues/6437

* fix(types/utils.py): fix linting

* test: update test to include required fields

* test: fix test

* test: handle flaky test

* test: remove e2e test - hitting gemini rate limits

* Litellm dev 10 26 2024 (#6472)

* docs(exception_mapping.md): add missing exception types

Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183

* fix(main.py): register custom model pricing with specific key

Ensure custom model pricing is registered to the specific model+provider key combination

* test: make testing more robust for custom pricing

* fix(redis_cache.py): instrument otel logging for sync redis calls

ensures complete coverage for all redis cache calls

* (Testing) Add unit testing for DualCache - ensure in memory cache is used when expected  (#6471)

* test test_dual_cache_get_set

* unit testing for dual cache

* fix async_set_cache_sadd

* test_dual_cache_local_only

* redis otel tracing + async support for latency routing (#6452)

* docs(exception_mapping.md): add missing exception types

Fixes https://github.com/Aider-AI/aider/issues/2120#issuecomment-2438971183

* fix(main.py): register custom model pricing with specific key

Ensure custom model pricing is registered to the specific model+provider key combination

* test: make testing more robust for custom pricing

* fix(redis_cache.py): instrument otel logging for sync redis calls

ensures complete coverage for all redis cache calls

* refactor: pass parent_otel_span for redis caching calls in router

allows for more observability into what calls are causing latency issues

* test: update tests with new params

* refactor: ensure e2e otel tracing for router

* refactor(router.py): add more otel tracing acrosss router

catch all latency issues for router requests

* fix: fix linting error

* fix(router.py): fix linting error

* fix: fix test

* test: fix tests

* fix(dual_cache.py): pass ttl to redis cache

* fix: fix param

* fix(dual_cache.py): set default value for parent_otel_span

* fix(transformation.py): support 'response_format' for anthropic calls

* fix(transformation.py): check for cache_control inside 'function' block

* fix: fix linting error

* fix: fix linting errors

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>

---------

Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>

* ui new build

* Add retry strat (#6520)

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* (fix) slack alerting - don't spam the failed cost tracking alert for the same model  (#6543)

* fix use failing_model as cache key for failed_tracking_alert

* fix use standard logging payload for getting response cost

* fix  kwargs.get("response_cost")

* fix getting response cost

* (feat) add XAI ChatCompletion Support  (#6373)

* init commit for XAI

* add full logic for xai chat completion

* test_completion_xai

* docs xAI

* add xai/grok-beta

* test_xai_chat_config_get_openai_compatible_provider_info

* test_xai_chat_config_map_openai_params

* add xai streaming test

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
2024-11-02 00:44:32 +05:30

105 lines
3 KiB
Python

import json
import logging
import os
import traceback
from datetime import datetime
from logging import Formatter
set_verbose = False
if set_verbose is True:
logging.warning(
"`litellm.set_verbose` is deprecated. Please set `os.environ['LITELLM_LOG'] = 'DEBUG'` for debug logs."
)
json_logs = bool(os.getenv("JSON_LOGS", False))
# Create a handler for the logger (you may need to adapt this based on your needs)
log_level = os.getenv("LITELLM_LOG", "DEBUG")
numeric_level: str = getattr(logging, log_level.upper())
handler = logging.StreamHandler()
handler.setLevel(numeric_level)
class JsonFormatter(Formatter):
def __init__(self):
super(JsonFormatter, self).__init__()
def formatTime(self, record, datefmt=None):
# Use datetime to format the timestamp in ISO 8601 format
dt = datetime.fromtimestamp(record.created)
return dt.isoformat()
def format(self, record):
json_record = {
"message": record.getMessage(),
"level": record.levelname,
"timestamp": self.formatTime(record),
}
if record.exc_info:
json_record["stacktrace"] = self.formatException(record.exc_info)
return json.dumps(json_record)
# Create a formatter and set it for the handler
if json_logs:
handler.setFormatter(JsonFormatter())
else:
formatter = logging.Formatter(
"\033[92m%(asctime)s - %(name)s:%(levelname)s\033[0m: %(filename)s:%(lineno)s - %(message)s",
datefmt="%H:%M:%S",
)
handler.setFormatter(formatter)
verbose_proxy_logger = logging.getLogger("LiteLLM Proxy")
verbose_router_logger = logging.getLogger("LiteLLM Router")
verbose_logger = logging.getLogger("LiteLLM")
# Add the handler to the logger
verbose_router_logger.addHandler(handler)
verbose_proxy_logger.addHandler(handler)
verbose_logger.addHandler(handler)
def _turn_on_json():
handler = logging.StreamHandler()
handler.setFormatter(JsonFormatter())
# Define a list of the loggers to update
loggers = [verbose_router_logger, verbose_proxy_logger, verbose_logger]
# Iterate through each logger and update its handlers
for logger in loggers:
# Remove all existing handlers
for h in logger.handlers[:]:
logger.removeHandler(h)
# Add the new handler
logger.addHandler(handler)
def _turn_on_debug():
verbose_logger.setLevel(level=logging.DEBUG) # set package log to debug
verbose_router_logger.setLevel(level=logging.DEBUG) # set router logs to debug
verbose_proxy_logger.setLevel(level=logging.DEBUG) # set proxy logs to debug
def _disable_debugging():
verbose_logger.disabled = True
verbose_router_logger.disabled = True
verbose_proxy_logger.disabled = True
def _enable_debugging():
verbose_logger.disabled = False
verbose_router_logger.disabled = False
verbose_proxy_logger.disabled = False
def print_verbose(print_statement):
try:
if set_verbose:
print(print_statement) # noqa
except Exception:
pass