litellm/tests/proxy_unit_tests/test_custom_callback_input.py
ryan-crabbe-berri 4af59d7c6e
ci: lint the test tree for undefined names and fix all 30 (#37671)
ruff.toml excludes tests/* from `ruff check`, so nothing has ever checked the
test tree for names that do not exist. That matters more in tests than in
product code: a NameError inside a test whose body is wrapped in
`except Exception: pass` is swallowed, and the test reports green forever.

Adds ruff-tests.toml selecting F821 alone, wired into the lint workflow and
`make lint-ruff`, and clears every existing violation:

- 4 tests interpolated an unbound `e` into a `pytest.fail` message reached only
  on the failure path, so the NameError, not the assertion, is what ran.
  test_llm_guard_error_raising is the worst: it passes today with content
  safety disabled entirely. It now asserts the 400 and its detail body.
- 5 sites construct BaseExceptionGroup, a 3.11 builtin, in a tree that still
  supports 3.10. Guarded behind the exceptiongroup backport that anyio already
  pulls in below 3.11.
- 9 missing imports (json, openai, Any, Final, HTTPException), including one in
  a helper that catches HTTPException by a name it never imported, so the
  challenge path it exists to detect raises NameError instead.
- 5 annotations naming types imported inside the function body, hoisted to
  module scope or TYPE_CHECKING.
- 2 blocks of dead code: everything after a pytest.fail in
  test_claude_agent_sdk, and an unused helper in test_end_users calling a
  function defined in a different module.
- 1 error-path f-string in the router-settings doc test that masked the real
  FileNotFoundError behind a NameError.

Only F821 for now. Widening the select list means ratcheting thousands of
pre-existing findings, so rules go in one at a time with their violations
already fixed.
2026-08-20 13:30:34 -07:00

360 lines
15 KiB
Python

### What this tests ####
## This test asserts the type of data passed into each method of the custom callback handler
import asyncio
import inspect
import json
import os
import sys
import time
import traceback
from litellm._uuid import uuid
from datetime import datetime
import pytest
from pydantic import BaseModel
sys.path.insert(0, os.path.abspath("../.."))
from typing import List, Literal, Optional, Union
from unittest.mock import AsyncMock, MagicMock, patch
import litellm
from litellm import Cache, completion, embedding
from litellm.integrations.custom_logger import CustomLogger
from litellm.types.utils import LiteLLMCommonStrings
# Test Scenarios (test across completion, streaming, embedding)
## 1: Pre-API-Call
## 2: Post-API-Call
## 3: On LiteLLM Call success
## 4: On LiteLLM Call failure
## 5. Caching
# Test models
## 1. OpenAI
## 2. Azure OpenAI
## 3. Non-OpenAI/Azure - e.g. Bedrock
# Test interfaces
## 1. litellm.completion() + litellm.embeddings()
## refer to test_custom_callback_input_router.py for the router + proxy tests
class CompletionCustomHandler(
CustomLogger
): # https://docs.litellm.ai/docs/observability/custom_callback#callback-class
"""
The set of expected inputs to a custom handler for a
"""
# Class variables or attributes
def __init__(self):
self.errors = []
self.states: List[
Literal[
"sync_pre_api_call",
"async_pre_api_call",
"post_api_call",
"sync_stream",
"async_stream",
"sync_success",
"async_success",
"sync_failure",
"async_failure",
]
] = []
def log_pre_api_call(self, model, messages, kwargs):
try:
self.states.append("sync_pre_api_call")
## MODEL
assert isinstance(model, str)
## MESSAGES
assert isinstance(messages, list)
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
### METADATA
metadata_value = kwargs["litellm_params"].get("metadata")
assert metadata_value is None or isinstance(metadata_value, dict)
if metadata_value is not None:
if litellm.turn_off_message_logging is True:
assert (
metadata_value["raw_request"]
is LiteLLMCommonStrings.redacted_by_litellm.value
)
else:
assert "raw_request" not in metadata_value or isinstance(
metadata_value["raw_request"], str
)
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
def log_post_api_call(self, kwargs, response_obj, start_time, end_time):
try:
self.states.append("post_api_call")
## START TIME
assert isinstance(start_time, datetime)
## END TIME
assert end_time == None
## RESPONSE OBJECT
assert response_obj == None
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
assert isinstance(kwargs["input"], (list, dict, str))
assert isinstance(kwargs["api_key"], (str, type(None)))
assert (
isinstance(
kwargs["original_response"],
(str, litellm.CustomStreamWrapper, BaseModel),
)
or inspect.iscoroutine(kwargs["original_response"])
or inspect.isasyncgen(kwargs["original_response"])
)
assert isinstance(kwargs["additional_args"], (dict, type(None)))
assert isinstance(kwargs["log_event_type"], str)
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
async def async_log_stream_event(self, kwargs, response_obj, start_time, end_time):
try:
self.states.append("async_stream")
## START TIME
assert isinstance(start_time, datetime)
## END TIME
assert isinstance(end_time, datetime)
## RESPONSE OBJECT
assert isinstance(response_obj, litellm.ModelResponse)
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list) and isinstance(
kwargs["messages"][0], dict
)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
assert (
isinstance(kwargs["input"], list)
and isinstance(kwargs["input"][0], dict)
) or isinstance(kwargs["input"], (dict, str))
assert isinstance(kwargs["api_key"], (str, type(None)))
assert (
isinstance(
kwargs["original_response"], (str, litellm.CustomStreamWrapper)
)
or inspect.isasyncgen(kwargs["original_response"])
or inspect.iscoroutine(kwargs["original_response"])
)
assert isinstance(kwargs["additional_args"], (dict, type(None)))
assert isinstance(kwargs["log_event_type"], str)
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
def log_success_event(self, kwargs, response_obj, start_time, end_time):
try:
print(f"\n\nkwargs={kwargs}\n\n")
print(
json.dumps(kwargs, default=str)
) # this is a test to confirm no circular references are in the logging object
self.states.append("sync_success")
## START TIME
assert isinstance(start_time, datetime)
## END TIME
assert isinstance(end_time, datetime)
## RESPONSE OBJECT
assert isinstance(
response_obj,
(
litellm.ModelResponse,
litellm.EmbeddingResponse,
litellm.ImageResponse,
),
)
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list) and isinstance(
kwargs["messages"][0], dict
)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["litellm_params"]["api_base"], str)
assert kwargs["cache_hit"] is None or isinstance(kwargs["cache_hit"], bool)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
assert (
isinstance(kwargs["input"], list)
and (
isinstance(kwargs["input"][0], dict)
or isinstance(kwargs["input"][0], str)
)
) or isinstance(kwargs["input"], (dict, str))
assert isinstance(kwargs["api_key"], (str, type(None)))
assert isinstance(
kwargs["original_response"],
(str, litellm.CustomStreamWrapper, BaseModel),
), "Original Response={}. Allowed types=[str, litellm.CustomStreamWrapper, BaseModel]".format(
kwargs["original_response"]
)
assert isinstance(kwargs["additional_args"], (dict, type(None)))
assert isinstance(kwargs["log_event_type"], str)
assert isinstance(kwargs["response_cost"], (float, type(None)))
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
def log_failure_event(self, kwargs, response_obj, start_time, end_time):
try:
print(f"kwargs: {kwargs}")
self.states.append("sync_failure")
## START TIME
assert isinstance(start_time, datetime)
## END TIME
assert isinstance(end_time, datetime)
## RESPONSE OBJECT
assert response_obj == None
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list) and isinstance(
kwargs["messages"][0], dict
)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["litellm_params"]["metadata"], Optional[dict])
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
assert (
isinstance(kwargs["input"], list)
and isinstance(kwargs["input"][0], dict)
) or isinstance(kwargs["input"], (dict, str))
assert isinstance(kwargs["api_key"], (str, type(None)))
assert (
isinstance(
kwargs["original_response"], (str, litellm.CustomStreamWrapper)
)
or kwargs["original_response"] == None
)
assert isinstance(kwargs["additional_args"], (dict, type(None)))
assert isinstance(kwargs["log_event_type"], str)
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
async def async_log_pre_api_call(self, model, messages, kwargs):
try:
self.states.append("async_pre_api_call")
## MODEL
assert isinstance(model, str)
## MESSAGES
assert isinstance(messages, list) and isinstance(messages[0], dict)
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list) and isinstance(
kwargs["messages"][0], dict
)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
except Exception as e:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
async def async_log_success_event(self, kwargs, response_obj, start_time, end_time):
try:
print(
"in async_log_success_event", kwargs, response_obj, start_time, end_time
)
self.states.append("async_success")
## START TIME
assert isinstance(start_time, datetime)
## END TIME
assert isinstance(end_time, datetime)
## RESPONSE OBJECT
assert isinstance(
response_obj,
(
litellm.ModelResponse,
litellm.EmbeddingResponse,
litellm.TextCompletionResponse,
),
)
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["litellm_params"]["api_base"], str)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["completion_start_time"], datetime)
assert kwargs["cache_hit"] is None or isinstance(kwargs["cache_hit"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
assert isinstance(kwargs["input"], (list, dict, str))
assert isinstance(kwargs["api_key"], (str, type(None)))
assert (
isinstance(
kwargs["original_response"], (str, litellm.CustomStreamWrapper)
)
or inspect.isasyncgen(kwargs["original_response"])
or inspect.iscoroutine(kwargs["original_response"])
)
assert isinstance(kwargs["additional_args"], (dict, type(None)))
assert isinstance(kwargs["log_event_type"], str)
assert kwargs["cache_hit"] is None or isinstance(kwargs["cache_hit"], bool)
assert isinstance(kwargs["response_cost"], (float, type(None)))
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())
async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
try:
self.states.append("async_failure")
## START TIME
assert isinstance(start_time, datetime)
## END TIME
assert isinstance(end_time, datetime)
## RESPONSE OBJECT
assert response_obj == None
## KWARGS
assert isinstance(kwargs["model"], str)
assert isinstance(kwargs["messages"], list)
assert isinstance(kwargs["optional_params"], dict)
assert isinstance(kwargs["litellm_params"], dict)
assert isinstance(kwargs["start_time"], (datetime, type(None)))
assert isinstance(kwargs["stream"], bool)
assert isinstance(kwargs["user"], (str, type(None)))
assert isinstance(kwargs["input"], (list, str, dict))
assert isinstance(kwargs["api_key"], (str, type(None)))
assert (
isinstance(
kwargs["original_response"], (str, litellm.CustomStreamWrapper)
)
or inspect.isasyncgen(kwargs["original_response"])
or inspect.iscoroutine(kwargs["original_response"])
or kwargs["original_response"] == None
)
assert isinstance(kwargs["additional_args"], (dict, type(None)))
assert isinstance(kwargs["log_event_type"], str)
except Exception:
print(f"Assertion Error: {traceback.format_exc()}")
self.errors.append(traceback.format_exc())