"""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_community.callbacks import get_openai_callback from langchain_community.llms.openai import BaseOpenAI def test_callback_manager_configure_context_vars( monkeypatch: pytest.MonkeyPatch, ) -> None: """Test callback manager configuration.""" 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": BaseOpenAI.__fields__["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": BaseOpenAI.__fields__["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 wait_for_all_tracers() assert LangChainTracer._persist_run_single.call_count == 1 # type: ignore