langchain/libs/community/tests/unit_tests/callbacks/test_callback_manager.py
Nuno Campos 5fc44989bf
core[patch]: Fix "argument of type 'NoneType' is not iterable" error in LangChainTracer (#26576)
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---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-17 10:29:46 -07:00

125 lines
5.5 KiB
Python

"""Test CallbackManager."""
from unittest.mock import patch
import pytest
from langchain_core.callbacks.manager import CallbackManager, trace_as_chain_group
from langchain_core.outputs import LLMResult
from langchain_core.tracers.langchain import LangChainTracer, wait_for_all_tracers
from langchain_core.utils.pydantic import get_fields
from langsmith import utils as ls_utils
from langchain_community.callbacks import get_openai_callback
from langchain_community.callbacks.manager import get_bedrock_anthropic_callback
from langchain_community.llms.openai import BaseOpenAI
def test_callback_manager_configure_context_vars(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Test callback manager configuration."""
ls_utils.get_env_var.cache_clear()
ls_utils.get_tracer_project.cache_clear()
monkeypatch.setenv("LANGCHAIN_TRACING_V2", "true")
monkeypatch.setenv("LANGCHAIN_TRACING", "false")
monkeypatch.setenv("LANGCHAIN_API_KEY", "foo")
with patch.object(LangChainTracer, "_update_run_single"):
with patch.object(LangChainTracer, "_persist_run_single"):
with trace_as_chain_group("test") as group_manager:
assert len(group_manager.handlers) == 1
tracer = group_manager.handlers[0]
assert isinstance(tracer, LangChainTracer)
with get_openai_callback() as cb:
# This is a new empty callback handler
assert cb.successful_requests == 0
assert cb.total_tokens == 0
# configure adds this openai cb but doesn't modify the group manager
mngr = CallbackManager.configure(group_manager)
assert mngr.handlers == [tracer, cb]
assert group_manager.handlers == [tracer]
response = LLMResult(
generations=[],
llm_output={
"token_usage": {
"prompt_tokens": 2,
"completion_tokens": 1,
"total_tokens": 3,
},
"model_name": get_fields(BaseOpenAI)["model_name"].default,
},
)
mngr.on_llm_start({}, ["prompt"])[0].on_llm_end(response)
# The callback handler has been updated
assert cb.successful_requests == 1
assert cb.total_tokens == 3
assert cb.prompt_tokens == 2
assert cb.completion_tokens == 1
assert cb.total_cost > 0
with get_openai_callback() as cb:
# This is a new empty callback handler
assert cb.successful_requests == 0
assert cb.total_tokens == 0
# configure adds this openai cb but doesn't modify the group manager
mngr = CallbackManager.configure(group_manager)
assert mngr.handlers == [tracer, cb]
assert group_manager.handlers == [tracer]
response = LLMResult(
generations=[],
llm_output={
"token_usage": {
"prompt_tokens": 2,
"completion_tokens": 1,
"total_tokens": 3,
},
"model_name": get_fields(BaseOpenAI)["model_name"].default,
},
)
mngr.on_llm_start({}, ["prompt"])[0].on_llm_end(response)
# The callback handler has been updated
assert cb.successful_requests == 1
assert cb.total_tokens == 3
assert cb.prompt_tokens == 2
assert cb.completion_tokens == 1
assert cb.total_cost > 0
with get_bedrock_anthropic_callback() as cb:
# This is a new empty callback handler
assert cb.successful_requests == 0
assert cb.total_tokens == 0
# configure adds this bedrock anthropic cb,
# but doesn't modify the group manager
mngr = CallbackManager.configure(group_manager)
assert mngr.handlers == [tracer, cb]
assert group_manager.handlers == [tracer]
response = LLMResult(
generations=[],
llm_output={
"usage": {
"prompt_tokens": 2,
"completion_tokens": 1,
"total_tokens": 3,
},
"model_id": "anthropic.claude-instant-v1",
},
)
mngr.on_llm_start({}, ["prompt"])[0].on_llm_end(response)
# The callback handler has been updated
assert cb.successful_requests == 1
assert cb.total_tokens == 3
assert cb.prompt_tokens == 2
assert cb.completion_tokens == 1
assert cb.total_cost > 0
wait_for_all_tracers()
assert LangChainTracer._persist_run_single.call_count == 4 # type: ignore