5bafa8b3a2
PR was blocked by .github/workflows/guard-fork-dependencies.yml: fork PRs cannot modify uv.lock. Reverting: - uv.lock + pyproject.toml black bump (24.10.0 -> 26.3.1) and the 295 files of mechanical Black 26 reformat coupled to it - pyproject.toml diskcache extra change (kept the runtime mitigation in litellm/caching/disk_cache.py via JSONDisk) Kept: - Dockerfile cache narrowing (drops ~660 MB of uv build cache that surfaced cached setuptools as CVE findings) - litellm/caching/disk_cache.py: dc.JSONDisk to neutralize CVE-2025-69872 - ui/litellm-dashboard/package-lock.json + litellm-js/spend-logs/package-lock.json: next/postcss/hono/uuid CVE bumps (these are not blocked by the fork guard) - tests/test_litellm/caching/test_disk_cache.py - tests/code_coverage_tests/liccheck.ini: harmless black authorization Black + gitpython + langchain dep upgrades will need a follow-up from a maintainer pushing a branch in the canonical BerriAI/litellm repo. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
128 lines
4.1 KiB
Python
128 lines
4.1 KiB
Python
import io
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import os
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import sys
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sys.path.insert(0, os.path.abspath("../.."))
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import asyncio
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import logging
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from litellm._uuid import uuid
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import pytest
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import litellm
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from litellm import completion
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from litellm._logging import verbose_logger
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from litellm.integrations.langsmith import LangsmithLogger
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
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verbose_logger.setLevel(logging.DEBUG)
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litellm.set_verbose = True
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import time
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# test_langsmith_logging()
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@pytest.mark.skip(reason="Flaky test. covered by unit tests on custom logger.")
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def test_async_langsmith_logging_with_metadata():
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try:
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litellm.success_callback = ["langsmith"]
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litellm.set_verbose = True
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response = completion(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "what llm are u"}],
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max_tokens=10,
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temperature=0.2,
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)
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print(response)
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time.sleep(3)
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for cb in litellm.callbacks:
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if isinstance(cb, LangsmithLogger):
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cb.async_httpx_client.close()
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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print(e)
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@pytest.mark.skip(reason="Flaky test. covered by unit tests on custom logger.")
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@pytest.mark.parametrize("sync_mode", [False, True])
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@pytest.mark.asyncio
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async def test_async_langsmith_logging_with_streaming_and_metadata(sync_mode):
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try:
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litellm.DEFAULT_BATCH_SIZE = 1
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litellm.DEFAULT_FLUSH_INTERVAL_SECONDS = 1
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test_langsmith_logger = LangsmithLogger()
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litellm.success_callback = ["langsmith"]
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litellm.set_verbose = True
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run_id = "497f6eca-6276-4993-bfeb-53cbbbba6f08"
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run_name = "litellmRUN"
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test_metadata = {
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"run_name": run_name, # langsmith run name
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"run_id": run_id, # langsmith run id
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}
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messages = [{"role": "user", "content": "what llm are u"}]
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if sync_mode is True:
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response = completion(
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model="gpt-3.5-turbo",
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messages=messages,
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max_tokens=10,
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temperature=0.2,
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stream=True,
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metadata=test_metadata,
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)
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for cb in litellm.callbacks:
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if isinstance(cb, LangsmithLogger):
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cb.async_httpx_client = AsyncHTTPHandler()
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for chunk in response:
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continue
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time.sleep(3)
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else:
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response = await litellm.acompletion(
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model="gpt-3.5-turbo",
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messages=messages,
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max_tokens=10,
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temperature=0.2,
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mock_response="This is a mock request",
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stream=True,
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metadata=test_metadata,
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)
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for cb in litellm.callbacks:
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if isinstance(cb, LangsmithLogger):
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cb.async_httpx_client = AsyncHTTPHandler()
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async for chunk in response:
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continue
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await asyncio.sleep(3)
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print("run_id", run_id)
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logged_run_on_langsmith = test_langsmith_logger.get_run_by_id(run_id=run_id)
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print("logged_run_on_langsmith", logged_run_on_langsmith)
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print("fields in logged_run_on_langsmith", logged_run_on_langsmith.keys())
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input_fields_on_langsmith = logged_run_on_langsmith.get("inputs")
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extra_fields_on_langsmith = logged_run_on_langsmith.get("extra", {}).get(
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"invocation_params"
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)
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assert (
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logged_run_on_langsmith.get("run_type") == "llm"
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), f"run_type should be llm. Got: {logged_run_on_langsmith.get('run_type')}"
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assert (
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logged_run_on_langsmith.get("name") == run_name
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), f"run_type should be llm. Got: {logged_run_on_langsmith.get('run_type')}"
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print("\nLogged INPUT ON LANGSMITH", input_fields_on_langsmith)
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print("\nextra fields on langsmith", extra_fields_on_langsmith)
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assert isinstance(input_fields_on_langsmith, dict)
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except Exception as e:
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pytest.fail(f"Error occurred: {e}")
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print(e)
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