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The Greenflash SDK integrates with Python and TypeScript projects to capture AI conversation data for real-time analytics. It detects your project language, installs the appropriate package, and injects logging with required fields like product ID.

Adding conversation logging to a TypeScript project involves installing the Greenflash SDK package. The setup generates client code, configures API key handling, and provides patterns to log user and assistant messages with required product and user identifiers.

Yes, the Greenflash SDK supports both sync and async Python applications. It handles environment configuration and injects message logging with required fields like product ID and user identifiers to capture AI conversation data effectively.

When instrumenting an app for AI analytics, you need to configure API key handling and provide required fields such as product ID and user identifiers. Optional organization identification can also be included when logging messages.

The fastest way to set up real-time AI conversation logging is using an integration tool that detects your project language, installs the appropriate SDK package, and generates client code with logging patterns. This enables immediate analytics without extensive manual setup.