​

Eval Results in the Trace Tree

• Scan before opening a span. Each row can show compact badges with the mean score and the most common label for its annotations.
• Start with the failures. Unfavorable results appear first, and extra badges collapse behind a +N count when the tree is narrow.
• Hover a row for detail. The span preview lists the full annotation set next to the token and cost breakdown.
• See new eval configs right away. When you link an annotation config to a project, its results show up in the trace tree without a page reload.

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Decision Spans

• Decision spans get their own icon and detail view. The detail view shows the decision input and output cards instead of the LLM message layout.
• The span view names the decision model. Phoenix uses decision.model_name when it is set, then the provider-reported model, then the requested model.
• Filter by DECISION anywhere you inspect spans. The span kind works in the UI, the REST API, and px span list --span-kind DECISION.
• OpenInference instrumentors emit decision spans for the OpenAI Decisions API and TypeSafe AI System One, another decision-model provider. The decision.* attributes may still change as more decision-model providers appear.

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TypeScript Client: Project Annotation Configs

import {
  assignProjectAnnotationConfig,
  listProjectAnnotationConfigs,
  setProjectAnnotationConfigs,
  unassignProjectAnnotationConfig,
} from "@arizeai/phoenix-client/projects";

await assignProjectAnnotationConfig({
  projectName: "support-bot",
  configName: "correctness",
});

const configs = await listProjectAnnotationConfigs({ projectName: "support-bot" });
console.log(configs.map((config) => config.name));

await unassignProjectAnnotationConfig({
  projectName: "support-bot",
  configName: "correctness",
});

await setProjectAnnotationConfigs({ projectName: "support-bot", configIds: [] });

• assignProjectAnnotationConfig is safe to rerun. Select the config by configName, configId, or config. Use configId when the name contains /.
• setProjectAnnotationConfigs replaces the assignment set. It adds and removes assignments to match configIds, and it never deletes the configs themselves.
• listProjectAnnotationConfigs returns the full set. The helper pages through every assigned config for you.

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Additional Improvements

• Experiment metrics include prompt and completion token detail charts, which split tokens into input, cache, output, reasoning, and audio parts across recent experiments.

  

• PHOENIX_ALLOW_EXTERNAL_RESOURCES=false now skips the WebAssembly sandbox download and the UI’s GitHub star count and update check. Set PHOENIX_WASM_BINARY_PATH to use the WebAssembly sandbox offline.
• Dataset.experiments in GraphQL accepts sort and sequenceNumbers, so you can fetch experiments by their dataset sequence number without paging.
• PXI marks a bash tool span as an error when its command exits with a non-zero code.
• Live streaming pauses while a trace or session drawer is open, so the tables behind it stop refreshing.
• Experiment JSON and CSV exports no longer fail when a run errored. Errored runs export with a null output.
• Spans that send both OpenInference and gen_ai.* messages no longer get garbled messages. Phoenix keeps the instrumentation’s own message list instead of mixing the two.
• Evaluator input mappings keep their Path or Text mode when you erase and retype a template variable.
• Categorical annotation configs ignore blank category rows when you save them, and saving a playground prompt to an existing prompt prefills metadata from its latest version.