arize-phoenix.bsky.social
Open-Source AI Observability and Evaluation app.phoenix.arize.com
👤 Joined on 06 December 2024
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@arize-phoenix.bsky.socialFollow the full trace → eval → iterate loop end to end with @ArizePhoenix Try it here: arize.com/docs/phoenix... arize.com/docs/phoenix... arize.com/docs/phoenix... arize.com/docs/phoenix...
Show Post🔹 Trace agents to capture spans across execution flow, tool calls, & LLM calls 🔹 Define an eval to score outputs and label failures 🔹 Build a dataset of failure cases so you have concrete data to test iterations 🔹 Run experiments & Test Prompts to compare agent versions and verify improvements
Show PostWe just published a new Get Started with Phoenix Quickstart in TypeScript 🚀 Using a Mastra multi-agent system, it walks through the workflow we recommend for improving agent apps in a way you can measure + validate:
Show PostIf you’re using @OpenRouterAI to power your app or agents, you can now use Broadcast to automatically send traces from your requests to Arize AX for tracing, evals, prompt optimization, and more. openrouter.ai/docs/guides...
Show PostJust Added: TypeScript tutorial for structured eval workflows in Phoenix 📊 Follow an end-to-end TS tutorial featuring a @langchain.bsky.social application that shows how to:
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