Releases: Arize-ai/phoenix
Releases · Arize-ai/phoenix
arize-phoenix: v13.3.0
arize-phoenix: v13.2.0
arize-phoenix: v13.1.1
arize-phoenix: v13.1.0
13.1.0 (2026-02-18)
Features
- add model to evaluator details (#11443) (cf48501)
- cli-starter-kit: use clack (#11504) (e732d3e)
- Enhance table functionality with column resizing support in EvaluatorsTable and DatasetEvaluatorsTable (#11486) (9264198)
- Implement column resizing in EvaluatorsTable and DatasetEvaluatorsTable (#11485) (e7749ff)
- merge phoenix-sdk-python skill into phoenix-evals (#11469) (767af9c)
- Render session chat using dynamic markdown content (#11506) (167d532)
- skill building skill (#11501) (4ef11a1)
- skill update for IO (#11503) (b417237)
- skills: add session skills (#11500) (2ba749b)
Bug Fixes
- cost: update built-in model token prices (#11498) (c43c652)
- Revert "docs: Remove API reference docs and link to subpackage guides" (#11511) (57d9e45)
- storybook theming (#11515) (beeda19)
- update anthropic model names for drop down (#11529) (205ff28)
- Update app dependencies and lockfile (#11490) (07b722d)
Performance Improvements
Documentation
arize-phoenix: v13.0.3
arize-phoenix: v13.0.2
arize-phoenix: v13.0.1
arize-phoenix: v13.0.0
13.0.0 (2026-02-13)
⚠ BREAKING CHANGES
- dataset evaluators
Features
- Add autocomplete to LLM eval prompt editor (#11275) (2dce02c)
- add available tools to experiment output (#10857) (f17e359)
- add built-in LLM evaluator configs to graphql (#10609) (4c8a70f)
- add custom providers to model menu (#10766) (41fe933)
- Add dataset deep link after selection from playground (#10886) (06c9687)
- add default output config for llm evaluators (#10775) (ac3a54f)
- add descriptions to built-ins (ff4db05)
- add eval outputs to playground (#10263) (f32428c)
- add evaluator count to tab (#10665) (3df4dc3)
- add evaluator kind token (59fce2d)
- add evaluator label to all evaluator prompts (#10781) (79d2afc)
- Add evaluator preview mutation (#10651) (f5fe556)
- add EvaluatorKindToken (ba74e43)
- Add evaluators table to dataset evaluators page (#10157) (a98fcbd)
- Add examples route with examples table (#10123) (57a3e99)
- add explanation toggle to evaluator form (#10550) (609094d)
- Add input mapping support to built-in evaluators (#10355) (77bcd4d)
- Add json parse toggle to json distance builtin evaluator (#11321) (fda8554)
- add metadata to evaluator db table (#10139) (b2fde4a)
- add model search to the model menu (#10737) (f6bd4fe)
- add model to evaluator tables (#11436) (0022722)
- Add more builtin evaluator forms and improve flattening utility (#10834) (7b44ce0)
- Add more builtin evaluators (#10826) (6e9adbc)
- add OpenAI API type (Chat Completions vs Responses API) support (#11336) (1de0357)
- Add optional description field to new evaluator creation (#10132) (bd72866)
- Add output config display to built in evaluators (#11054) (5ffe5ab)
- Add pre-built LLM evaluators to the evaluator creation menu (#10642) (c9d46e9)
- add prompt info to evals table (#10486) (c2f5f54)
- Add SwitchableEvaluatorInput to enable customizable eval inputs (#10835) (c1420ec)
- add the ability to create examples in a chain (#10979) (77ed915)
- add tool response handling evaluator template (#11276) (0738cb9)
- add user id on the evaluators (#11016) (b187e41)
- append messages param in the playground (#10800) (8bf2d74)
- Builtin Evaluator Config Overrides (#10977) (3569107)
- Builtin evaluator table (#11094) (dee0a7c)
- bump openinference vercel (#11392) (8be1940)
- cleanup the preview UI to show a full annotaiton value (#10776) (804de70)
- clear table state when dataset or splits change (#11060) (5d06822)
- Collect all json path segments when flattening example keys (#10075) (cd1ed2a)
- composite field for model + params (#10773) (618eef7)
- configurable vite port for running simultaneous instances (#11205) (ac964ed)
- consolidate dataset creation flows" (#11375) (d55efc9)
- convert boto3 to aioboto3 for async Bedrock client (#10803) (b6b4047)
- Create distinct slideovers for evaluator use cases (#10303) (34bc75e)
- Create evaluator mutations with optional dataset_id (#10065) (daf76c4)
- Create zustand store for evaluator configuration (#10635) (6c9e389)
- Custom evaluator names (#10451) (d93365d)
- data model for custom providers (#10319) (2579658)
- dataset evaluators (1274b03)
- dataset table to have links to evaluators, playground. (#10934) ([52bfe99](52bfe9...
arize-phoenix-evals: v2.10.0
2.10.0 (2026-02-13)
Features
- add tool response handling evaluator template (#11276) (0738cb9)
- dataset evaluators (1274b03)
- dataset evaluators (5f47820)
- dataset evaluators (cf0e09a)
- enable full mustache prompt templates in the server (#11229) (68ba0ed)
- filter built-in classification evaluators by label (#11416) (aa95a3f)
Bug Fixes
Miscellaneous Chores
- release 2.10.0 (4561612)
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