@ArizePhoenix: Something we’ve been playing with and liking a lot: Give every coding agent its own observability stack. Because Arize …
Summary
Arize Phoenix enables local-first, air-gapped observability for coding agents, allowing each agent to have its own traces, evals, and feedback loop for self-verification.
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@ArizePhoenix: Customizable visualizations of your agent traces are here. Track cache hits, online eval degradations, tool call errors…
Arize Phoenix announces customizable visualizations for agent traces, enabling real-time tracking of cache hits, online eval degradations, and tool call errors in production.
@ArizePhoenix: This week in Phoenix - feedback gets more visible and the agent gets more capable: Server-side bash for PXI subagents (…
This week's Phoenix update adds server-side bash for PXI subagents with sandboxed execution and built-in GraphQL access, improving feedback visibility and agent capabilities.
@ArizePhoenix: Our favorite tools are the ones that have maximum customizability. Last week we added customizable charts, command K, a…
Arize Phoenix announces new customization features for its AI agent monitoring platform, including customizable charts, command K, recent searches, and custom column ordering.
@ArizePhoenix: When debugging agents, you need to get to the problematic issues QUICKLY! Phoenix now comes with quick list-details nav…
Arize Phoenix adds quick list-details navigation and resizable drawers for faster agent conversation debugging, plus VIM support in sessions.
@arizeai: .@Chi_Wang_ spent the last few years pushing the boundaries of what agents can be, from AutoGen's multi-agent vision to…
Arize AI is hosting the Observe 2026 conference in San Francisco focused on AI agents and evaluations with speakers from OpenAI, Cursor, and Uber. The event features talks on multi-agent systems and frontier agentic AI.