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### Answer The error

pipeline-error-openai-llm-failed

indicates a failure within the processing pipeline, specifically related to the Large Language Model (LLM) integration, such as OpenAI. This could be due to a variety of reasons including issues with the LLM provider, connectivity issues, or configurations. While the official documentation does not provide a direct solution to prevent this specific error, it's essential to ensure that your integration with the LLM provider (e.g., OpenAI) is correctly set up and that any provider keys required are valid and have not exceeded their usage limits. Additionally, checking for any updates or maintenance notifications from your LLM provider could provide further insights. If this issue persists, it would be beneficial to review the detailed error logs (if available) and possibly adjust the configurations related to the LLM integration. Since this error relates to external services (like OpenAI), ensuring that there are fallback mechanisms or retry logic in place could also help mitigate the impact of such errors on your application's functionality. Unfortunately, without more specific details on the configuration and operational context, it's challenging to provide a more tailored solution. Ensuring your configurations align with the best practices recommended by both Vapi and your LLM provider is a good starting point. For more detailed troubleshooting or if this issue is occurring frequently and impacting your operations significantly, it might be beneficial to reach out to Vapi's support or community forums where you might find others who have encountered and resolved similar issues [(1)]() .

is there a chance that this could be causing the issue?