1
Start with the official documentation for Zep and choose the setup path that matches your use case. For a hosted api, create the required account or API credentials; for an open-source project, install or deploy the supported package/runtime from its official repository.
2
Create a small test workflow before integrating it into a production application. Use a narrow task with known expected results so you can understand the product's configuration, model/provider requirements, tool permissions, output format, and failure behavior. If the product supports multiple models or providers, compare them on the same task rather than assuming their behavior is interchangeable.
3
Once the basic workflow works, connect only the data sources, tools, browser permissions, or external services that the task actually needs. Keep credentials in environment variables or a secret manager, and use the product's built-in tracing, logs, evaluation, or usage controls where available. For agentic tools, test tool-call boundaries and recovery behavior before allowing broader autonomy.
4
Finally, validate cost, latency, reliability, and data-handling requirements under realistic traffic. Review the official documentation again before launch because APIs, model support, pricing, and deployment instructions can change. For open-source software, pin a tested release and review its license and upgrade notes.