> ## Documentation Index > Fetch the complete documentation index at: https://arizeai-433a7140.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # 07.07.2026: Metric Charts, Trace Search, and REST API Expansion > Pin metric charts above your data tables, search the trace tree, manage dataset labels and annotation-config assignments over REST, run classification-metric evaluators in TypeScript, and use Claude Sonnet 5 in the Playground. # Metric Charts Above Data Tables July 7, 2026 **Available in arize-phoenix 17.20.0+** Keep the numbers that matter in view while you work through your data. A resizable strip of metric charts now sits above the spans, traces, and sessions tables. Pick the charts you want per table from a catalog, and Phoenix remembers your selection per project. * **Per-table selection** — choose different charts for the spans, traces, and sessions views * **Interactive** — filter series from the legend and drag across a chart to zoom the time range * **Persistent** — your chart choices are saved per project # Trace Tree Search July 6, 2026 **Available in arize-phoenix 17.19.0+** Finding a span in a deep, deeply nested trace no longer means scrolling. The trace detail view now has a search box that filters the trace tree as you type, so you can jump straight to the span you care about. # Dataset Labels and Annotation Config Assignment over REST July 4, 2026 **Available in arize-phoenix 17.16.0+ (server), arize-phoenix-client 2.12.0+ (Python, typed access)** Two organizational workflows that were previously UI-only are now scriptable over the REST API. **Dataset labels** can be created, listed, updated, deleted, and applied to datasets: ```bash theme={null} # Create a label curl -X POST "$PHOENIX_HOST/v1/dataset_labels" \ -H "Authorization: Bearer $PHOENIX_API_KEY" \ -H "Content-Type: application/json" \ -d '{"name": "golden", "color": "#00cc88", "description": "Curated eval sets"}' # Apply a label to a dataset (idempotent) curl -X PUT "$PHOENIX_HOST/v1/datasets/$DATASET_ID/labels/$LABEL_ID" \ -H "Authorization: Bearer $PHOENIX_API_KEY" # List the labels applied to a dataset curl "$PHOENIX_HOST/v1/datasets/$DATASET_ID/labels" \ -H "Authorization: Bearer $PHOENIX_API_KEY" ``` **Annotation configs** can be assigned to and removed from projects, and both endpoints accept either an ID or a name for the project and config: ```bash theme={null} # Assign an annotation config to a project (idempotent) curl -X PUT "$PHOENIX_HOST/v1/projects/my-project/annotation_configs/response-quality" \ -H "Authorization: Bearer $PHOENIX_API_KEY" # Replace the full set of configs on a project curl -X PUT "$PHOENIX_HOST/v1/projects/my-project/annotation_configs" \ -H "Authorization: Bearer $PHOENIX_API_KEY" \ -H "Content-Type: application/json" \ -d '{"annotation_config_ids": ["'"$CONFIG_ID"'"]}' ``` # Filter Projects by Name July 4, 2026 **Available in arize-phoenix 17.16.0+** `GET /v1/projects` now accepts a `name_contains` query parameter for a case-insensitive substring match, so you can locate projects without paging through the full list. ```bash theme={null} curl "$PHOENIX_HOST/v1/projects?name_contains=eval" \ -H "Authorization: Bearer $PHOENIX_API_KEY" ``` # Baseline Experiments July 4, 2026 **Available in arize-phoenix 17.16.0+** Mark one experiment per project as the **baseline** to make it the reference point in comparison workflows. Set or clear the baseline from the experiment action menu — the baseline is flagged with a badge across experiment tables and compare views, and the choice persists across sessions. # Annotation Config CLI Commands July 4, 2026 **Available in arize-phoenix-client 2.12.0+** The `px` CLI can now manage annotation configurations directly, making it easy to script annotation setup or drive it from a coding agent. ```bash theme={null} # List all annotation configurations px annotation-config list # Fetch one by name or ID px annotation-config get response-quality # Create a categorical pass/fail rating px annotation-config create \ --type CATEGORICAL \ --name response-quality \ --value good=1 \ --value bad=0 \ --optimization-direction MAXIMIZE # Update just the description px annotation-config update response-quality \ --description "Pass/fail rating from human review" ``` # Classification Metric Evaluators in TypeScript July 4, 2026 **Available in @arizeai/phoenix-evals 1.1.0+ (TypeScript)** The TypeScript evals package now ships built-in **code** (non-LLM) evaluators for precision, recall, and F-score, mirroring the Python `PrecisionRecallFScore` evaluator. They support binary classification via `positiveLabel` and multi-class classification with `macro`, `micro`, or `weighted` averaging. ```typescript theme={null} import { createPrecisionEvaluator, createPrecisionRecallFScoreEvaluators, } from "@arizeai/phoenix-evals/code"; // Binary classification const precision = createPrecisionEvaluator({ positiveLabel: "spam" }); const p = await precision.evaluate({ expected: ["spam", "ham", "spam"], output: ["spam", "spam", "ham"], }); // Multi-class, weighted average — precision, recall, and F-score together const { precision: mp, recall, fScore } = createPrecisionRecallFScoreEvaluators({ average: "weighted", }); const f = await fScore.evaluate({ expected: ["cat", "dog", "cat", "bird"], output: ["cat", "cat", "cat", "bird"], }); ``` For a one-shot computation without constructing an evaluator, use `computePrecisionRecallFScore` from the same import path. # Log Spans from the TypeScript Client July 2, 2026 **Available in @arizeai/phoenix-client 6.12.0+ (TypeScript)** The TypeScript client gains `logSpans`, mirroring the Python client's `log_spans`. It submits spans directly to a project using Phoenix's simplified span structure — the same shape returned by `getSpans` — with no OpenTelemetry setup required. ```typescript theme={null} import { logSpans } from "@arizeai/phoenix-client/spans"; const result = await logSpans({ project: { projectName: "my-project" }, spans: [ { name: "my-span", context: { trace_id: "...", span_id: "..." }, span_kind: "CHAIN", start_time: "2026-07-02T00:00:00Z", end_time: "2026-07-02T00:00:01Z", status_code: "OK", }, ], }); console.log(`Queued ${result.totalQueued} of ${result.totalReceived} spans`); ``` Invalid or duplicate spans raise a `SpanCreationError` with `invalidSpans` and `duplicateSpans` details so you can see exactly which spans were rejected. # Claude Sonnet 5 in the Playground July 1, 2026 **Available in arize-phoenix 17.15.0+** Claude Sonnet 5 is now selectable in the Playground and prompts for both the Anthropic (`claude-sonnet-5`) and AWS Bedrock (`anthropic.claude-sonnet-5`) providers. # Table and Navigation Improvements July 4–6, 2026 **Available in arize-phoenix 17.16.0+ through 17.19.0+** A batch of workflow upgrades landed across the data tables and side navigation: * **Error column** on the spans and traces tables surfaces the status message recorded when a span errors (arize-phoenix 17.16.0+) * **Prompt version columns** — the prompts table now shows the version count, latest version, and version tags with links (arize-phoenix 17.16.0+) * **Shift-click range selection** — select a contiguous range of rows with shift-click across the examples, experiments, spans, traces, and annotation-config tables (arize-phoenix 17.17.0+) * **Recent searches** — the span filter typeahead shows your last few filter conditions per project (arize-phoenix 17.17.0+) * **Consolidated account menu** — profile, docs, support, management console, log out, and the light/dark/system theme toggle now live in a single menu at the bottom of the side nav (arize-phoenix 17.19.0+) Full REST API reference for datasets, projects, and annotations. Manage prompts, datasets, experiments, and annotations from Python.