text: config, patch# Note: be sure to configure the integration before calling ``patch()``!# eg. config.langchain["logs_enabled"] = Truepatch(langchain=True)# to trace synchronous HTTP requests# patch(langchain=True, requests=True)# to trace asynchronous HTTP requests (to the OpenAI library)# patch(langchain=True, aiohttp=True)# to include underlying OpenAI spans from the OpenAI integration# patch(langchain=True, openai=True)patch_allSee the [APM Python library documentation][https://ddtrace.readthedocs.io/en/stable/installation_quickstart.html] for more advanced usage.Configurationâ€‹See the [APM Python library documentation][https://ddtrace.readthedocs.io/en/stable/integrations.html#langchain] for all the available configuration options.Log Prompt & Completion Samplingâ€‹To enable log prompt and completion sampling, set the DD_LANGCHAIN_LOGS_ENABLED=1 environment variable. By default, 10% of traced requests will emit logs containing the prompts and completions.To adjust the log sample rate, see the [APM library documentation][https://ddtrace.readthedocs.io/en/stable/integrations.html#langchain].Note: Logs submission requires DD_API_KEY to be specified when running ddtrace-run.Troubleshootingâ€‹Need help? Create an issue on ddtrace or contact [Datadog support][https://docs.datadoghq.com/help/].PreviousDatabricksNextDatadog LogsInstallation and SetupConfigurationLog Prompt & Completion SamplingTroubleshootingCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.