Phoenix prompt management will now let you create, modify, tag, and version control prompts for your applications. Some key highlights from this release:

• Versioning & Iteration: Seamlessly manage prompt versions in both Phoenix and your codebase.

• New TypeScript Client: Sync prompts with your JavaScript runtime, now with native support for OpenAI, Anthropic, and the Vercel AI SDK.

• New Python Client: Sync templates and apply them to AI SDKs like OpenAI, Anthropic, and more.

• Standardized Prompt Handling: Native normalization for OpenAI, Anthropic, Azure OpenAI, and Google AI Studio.

• Enhanced Metadata Propagation: Track prompt metadata on Playground spans and experiment metadata in dataset runs.

Check out the docs and this walkthrough for more on prompts.📝

Phoenix has made it even simpler to get started with tracing by introducing one-line auto-instrumentation. By using register(auto_instrument=True), you can enable automatic instrumentation in your application, which will set up instrumentors based on your installed packages.

from phoenix.otel import register

register(auto_instrument=True)

For more details, you can check the docs and explore further options.