Arize AI aligned the automated evaluators for its Alyx AI assistant in Arize AX by sampling production sessions into a labeling queue and building a Custom View that places the full session transcript…
Arize AI shipped a hosted MCP server for its Arize AX observability platform, exposing 45 tools plus server_info across projects, traces, datasets, experiments, evaluators, monitors, and prompts, conn…
Anthropic's Lance Martin published "Automating eval design and hillclimbing with Claude" on September 28, adding two commands to the claude-api skill: /claude-api build-eval, which interviews the user…
Arize shipped long-term memory for Alyx, its AI engineering agent inside Arize AX, as a single structured text file per user and space capped at 8,000 characters that the agent reads in full on every …
Arize AX has added long-term memory to Alyx, its AI engineering agent, enabling it to retain project goals, conventions, preferences and prior decisions across sessions, and the feature is enabled by …
Arize AI is a launch partner for MongoDB's Atlas Agent Engine, a new platform for building, deploying, and governing AI agents in production, with Arize AX adding trace-level observability and evaluat…
Anthropic's Claude Opus 5.5 cut em dash usage to 2 occurrences across 57,000 words of output, down from 12.9 per 1,000 words in Opus 5, according to an independent evaluation run by Arize employee Jim…
Arize AX now integrates directly with TypeSafe AI, bringing native Jev-as-a-Judge evaluations into the Arize evaluation workflow, the company announced. In an Arize benchmark for hallucination detecti…
Archipelo launched Salmon on September 25, an Execution Verification Infrastructure (EVI) that cryptographically signs every AI agent action as a tamper-evident event outside the agent's own control, …
Arize published a tutorial showing how to connect TypeSafe's Jev to Arize AX through a remote evaluator that scores recorded agent spans after the agent responds, returning a yes/no label and a probab…
Daytona cofounder and CEO Ivan Burazin said the agents he uses fail more often because they cannot access the tools they need than because of the model itself, and that he does not want agents operati…
Arize AI shipped sessions as a first-class unit of work in Arize AX between August 6 and September 18, letting users annotate, queue, preview, and filter whole conversations rather than individual spa…
Arize AI's Signal agent in Arize AX now performs the first pass on production AI failures, scanning tracing projects on a schedule, grouping recurring failure patterns into issues, and writing investi…
Arize AI's Agent Experiments in Arize AX demonstrated that a prompt fix intended to make an e-commerce agent safer can degrade other workflows, with average task completion falling from 0.89 to 0.72 i…
Dynatrace acquired Arize AI to fold AI observability, evaluation and agent monitoring into its application observability platform, Dynatrace chief product officer Steve Tack and Arize AI co-founder an…
Arize AX now includes a managed cost-control agent that runs inside its platform to autonomously diagnose and fix expensive LLM calls in agentic applications, addressing the non-linear cost scaling th…
Arize AI outlines a cost-optimization workflow for LLM applications, emphasizing that reducing spend requires tracing complete workflows, comparing cost per validated outcome rather than cost per toke…
Arize AI's Signal tool, a managed agent in Arize AX, identified two hidden retry loops in the production agent Alyx, including a 43-call dataset retry that appeared as valid tool activity with an OK r…
CrewAI launched Crew Studio, an Automated Agent Builder with native Arize AX tracing and evaluation integration, enabling teams to send traces from the first run without custom instrumentation. The in…
Arize AX, the AI observability platform from Arize AI, now natively supports OpenTelemetry GenAI semantic conventions, enabling teams to send gen_ai.* telemetry directly over OTLP without custom proce…