litellm-mirror/litellm/proxy/common_utils/debug_utils.py
Krish Dholakia d57be47b0f
Litellm ruff linting enforcement (#5992)
* ci(config.yml): add a 'check_code_quality' step

Addresses https://github.com/BerriAI/litellm/issues/5991

* ci(config.yml): check why circle ci doesn't pick up this test

* ci(config.yml): fix to run 'check_code_quality' tests

* fix(__init__.py): fix unprotected import

* fix(__init__.py): don't remove unused imports

* build(ruff.toml): update ruff.toml to ignore unused imports

* fix: fix: ruff + pyright - fix linting + type-checking errors

* fix: fix linting errors

* fix(lago.py): fix module init error

* fix: fix linting errors

* ci(config.yml): cd into correct dir for checks

* fix(proxy_server.py): fix linting error

* fix(utils.py): fix bare except

causes ruff linting errors

* fix: ruff - fix remaining linting errors

* fix(clickhouse.py): use standard logging object

* fix(__init__.py): fix unprotected import

* fix: ruff - fix linting errors

* fix: fix linting errors

* ci(config.yml): cleanup code qa step (formatting handled in local_testing)

* fix(_health_endpoints.py): fix ruff linting errors

* ci(config.yml): just use ruff in check_code_quality pipeline for now

* build(custom_guardrail.py): include missing file

* style(embedding_handler.py): fix ruff check
2024-10-01 19:44:20 -04:00

244 lines
8.5 KiB
Python

# Start tracing memory allocations
import json
import os
import tracemalloc
from fastapi import APIRouter
import litellm
from litellm import get_secret, get_secret_str
from litellm._logging import verbose_proxy_logger
router = APIRouter()
if os.environ.get("LITELLM_PROFILE", "false").lower() == "true":
try:
import objgraph # type: ignore
print("growth of objects") # noqa
objgraph.show_growth()
print("\n\nMost common types") # noqa
objgraph.show_most_common_types()
roots = objgraph.get_leaking_objects()
print("\n\nLeaking objects") # noqa
objgraph.show_most_common_types(objects=roots)
except ImportError:
raise ImportError(
"objgraph not found. Please install objgraph to use this feature."
)
tracemalloc.start(10)
@router.get("/memory-usage", include_in_schema=False)
async def memory_usage():
# Take a snapshot of the current memory usage
snapshot = tracemalloc.take_snapshot()
top_stats = snapshot.statistics("lineno")
verbose_proxy_logger.debug("TOP STATS: %s", top_stats)
# Get the top 50 memory usage lines
top_50 = top_stats[:50]
result = []
for stat in top_50:
result.append(f"{stat.traceback.format(limit=10)}: {stat.size / 1024} KiB")
return {"top_50_memory_usage": result}
@router.get("/memory-usage-in-mem-cache", include_in_schema=False)
async def memory_usage_in_mem_cache():
# returns the size of all in-memory caches on the proxy server
"""
1. user_api_key_cache
2. router_cache
3. proxy_logging_cache
4. internal_usage_cache
"""
from litellm.proxy.proxy_server import (
llm_router,
proxy_logging_obj,
user_api_key_cache,
)
if llm_router is None:
num_items_in_llm_router_cache = 0
else:
num_items_in_llm_router_cache = len(
llm_router.cache.in_memory_cache.cache_dict
) + len(llm_router.cache.in_memory_cache.ttl_dict)
num_items_in_user_api_key_cache = len(
user_api_key_cache.in_memory_cache.cache_dict
) + len(user_api_key_cache.in_memory_cache.ttl_dict)
num_items_in_proxy_logging_obj_cache = len(
proxy_logging_obj.internal_usage_cache.dual_cache.in_memory_cache.cache_dict
) + len(proxy_logging_obj.internal_usage_cache.dual_cache.in_memory_cache.ttl_dict)
return {
"num_items_in_user_api_key_cache": num_items_in_user_api_key_cache,
"num_items_in_llm_router_cache": num_items_in_llm_router_cache,
"num_items_in_proxy_logging_obj_cache": num_items_in_proxy_logging_obj_cache,
}
@router.get("/memory-usage-in-mem-cache-items", include_in_schema=False)
async def memory_usage_in_mem_cache_items():
# returns the size of all in-memory caches on the proxy server
"""
1. user_api_key_cache
2. router_cache
3. proxy_logging_cache
4. internal_usage_cache
"""
from litellm.proxy.proxy_server import (
llm_router,
proxy_logging_obj,
user_api_key_cache,
)
if llm_router is None:
llm_router_in_memory_cache_dict = {}
llm_router_in_memory_ttl_dict = {}
else:
llm_router_in_memory_cache_dict = llm_router.cache.in_memory_cache.cache_dict
llm_router_in_memory_ttl_dict = llm_router.cache.in_memory_cache.ttl_dict
return {
"user_api_key_cache": user_api_key_cache.in_memory_cache.cache_dict,
"user_api_key_ttl": user_api_key_cache.in_memory_cache.ttl_dict,
"llm_router_cache": llm_router_in_memory_cache_dict,
"llm_router_ttl": llm_router_in_memory_ttl_dict,
"proxy_logging_obj_cache": proxy_logging_obj.internal_usage_cache.dual_cache.in_memory_cache.cache_dict,
"proxy_logging_obj_ttl": proxy_logging_obj.internal_usage_cache.dual_cache.in_memory_cache.ttl_dict,
}
@router.get("/otel-spans", include_in_schema=False)
async def get_otel_spans():
from litellm.integrations.opentelemetry import OpenTelemetry
from litellm.proxy.proxy_server import open_telemetry_logger
if open_telemetry_logger is None:
return {
"otel_spans": [],
"spans_grouped_by_parent": {},
"most_recent_parent": None,
}
otel_exporter = open_telemetry_logger.OTEL_EXPORTER
if hasattr(otel_exporter, "get_finished_spans"):
recorded_spans = otel_exporter.get_finished_spans() # type: ignore
else:
recorded_spans = []
print("Spans: ", recorded_spans) # noqa
most_recent_parent = None
most_recent_start_time = 1000000
spans_grouped_by_parent = {}
for span in recorded_spans:
if span.parent is not None:
parent_trace_id = span.parent.trace_id
if parent_trace_id not in spans_grouped_by_parent:
spans_grouped_by_parent[parent_trace_id] = []
spans_grouped_by_parent[parent_trace_id].append(span.name)
# check time of span
if span.start_time > most_recent_start_time:
most_recent_parent = parent_trace_id
most_recent_start_time = span.start_time
# these are otel spans - get the span name
span_names = [span.name for span in recorded_spans]
return {
"otel_spans": span_names,
"spans_grouped_by_parent": spans_grouped_by_parent,
"most_recent_parent": most_recent_parent,
}
# Helper functions for debugging
def init_verbose_loggers():
try:
worker_config = get_secret_str("WORKER_CONFIG")
# if not, assume it's a json string
if worker_config is None:
return
if os.path.isfile(worker_config):
return
_settings = json.loads(worker_config)
if not isinstance(_settings, dict):
return
debug = _settings.get("debug", None)
detailed_debug = _settings.get("detailed_debug", None)
if debug is True: # this needs to be first, so users can see Router init debugg
import logging
from litellm._logging import (
verbose_logger,
verbose_proxy_logger,
verbose_router_logger,
)
# this must ALWAYS remain logging.INFO, DO NOT MODIFY THIS
verbose_logger.setLevel(level=logging.INFO) # sets package logs to info
verbose_router_logger.setLevel(
level=logging.INFO
) # set router logs to info
verbose_proxy_logger.setLevel(level=logging.INFO) # set proxy logs to info
if detailed_debug is True:
import logging
from litellm._logging import (
verbose_logger,
verbose_proxy_logger,
verbose_router_logger,
)
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
elif debug is False and detailed_debug is False:
# users can control proxy debugging using env variable = 'LITELLM_LOG'
litellm_log_setting = os.environ.get("LITELLM_LOG", "")
if litellm_log_setting is not None:
if litellm_log_setting.upper() == "INFO":
import logging
from litellm._logging import (
verbose_proxy_logger,
verbose_router_logger,
)
# this must ALWAYS remain logging.INFO, DO NOT MODIFY THIS
verbose_router_logger.setLevel(
level=logging.INFO
) # set router logs to info
verbose_proxy_logger.setLevel(
level=logging.INFO
) # set proxy logs to info
elif litellm_log_setting.upper() == "DEBUG":
import logging
from litellm._logging import (
verbose_proxy_logger,
verbose_router_logger,
)
verbose_router_logger.setLevel(
level=logging.DEBUG
) # set router logs to info
verbose_proxy_logger.setLevel(
level=logging.DEBUG
) # set proxy logs to debug
except Exception as e:
import logging
logging.warning(f"Failed to init verbose loggers: {str(e)}")