tools
Arize Phoenix
Piattaforma open source per tracciare, valutare e migliorare gli agenti di IA e le applicazioni LLM.

In inglese
Arize Phoenix traces prompts, retrieval, tool calls, outputs, latency, and token usage. It supports evaluations, human annotations, datasets, experiments, prompt iteration, and OpenTelemetry-based integrations.
Developers and AI engineering teams can run it locally, in Docker, Kubernetes, notebooks, or Phoenix Cloud. Phoenix is self-hosted and open source; managed Arize AX plans and dedicated support are separate offerings.
Features
- Trace prompts, retrievals, tool calls, outputs, and agent steps
- Evaluate AI outputs with code evaluators or LLM-as-judge
- Create datasets from traces and run repeatable experiments
- Annotate traces with human feedback or automated labels
- Compare and manage prompt versions in the Prompt IDE
- Support OpenTelemetry and OpenInference tracing standards
- Run locally, in Docker, Kubernetes, notebooks, or Phoenix Cloud
- ELv2-licensed open-source core
Use cases
- Debug failed agent runs by inspecting traces and tool calls
- Evaluate retrieval quality and generated responses before release
- Create benchmark datasets from production traces
- Compare prompt or model changes through controlled experiments
- Monitor token usage, latency, errors, and AI application behavior
Pros
Cons
Latest updates
- Get a webhook when an eval task fails
Subscribe a webhook to the new ONLINE_TASK_RUN_FAILED event, so you hear when an eval task stops writing evals.
- Fixes and improvements
Fix experiments SDK warnings, proxy authentication, Vertex AI Gemini routing, dashboard filters, custom metrics, annotation status, and Alyx.
- Run managed agents on the OpenCode harness
OpenCode joins Claude Code, Codex, and Cursor as a harness for managed agents, and is available on every account.
- Find and fix eval gaps with the Eval Health agent
Reviews evals on a tracing project and proposes changes to create, fix, delete, or optimize evaluators for approval.
- Score whole conversations with trace and session remote evaluators
Remote evaluators at trace and session scope receive mapped variables as arrays, with one value per span, to score a conversation in one call.
Capabilities
Get it
Security
- SOC 2 Type II — “Arize AI Announces SOC 2 Type II Certification” source
- SOC 2 — “Arize AI Announces SOC 2 Type II Certification” source
- ISO 27001 — “ISO/IEC 27001 Certified” source
- GDPR — “GDPR Compliant” source
- HIPAA — “HIPAA Compliant” source
- Data kept in the EU — “Arize AI: Support for EU Data Residency” source
Pricing
- Starting price
- $50/mo
- Prices checked
- 2026-10-26
AX Free
Free
- 10 issues per month
- 25k spans per month
- 1 GB per month
- 15 days retention
- SaaS deployment
- Unlimited users and evals
AX Pro
- $50 per month
- 25 issues per month
- 50k spans per month
- 10 GB per month
- 30 days retention
- SaaS deployment
- Unlimited users and evals
AX Enterprise
Price on request
- Unlimited signal issues
- Custom span volume
- Custom ingestion volume
- Custom retention
- SaaS or self-hosted deployment
- Unlimited users and evals