Arize AI

aid: arize-ai
url: https://raw.githubusercontent.com/api-evangelist/arize-ai/refs/heads/main/apis.yml
name: Arize AI
type: Index
accessModel:
  pricing: free
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Free · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/arize-ai.png
tags:
- LLM Observability
- ML Monitoring
- Open Source
- OpenTelemetry
- Phoenix
- Tracing
- Evaluation
description: Arize AI is an AI engineering and observability platform for LLM applications, agents, and traditional ML systems.
  The commercial Arize AX platform (with Generative and ML & CV variants) provides tracing, evaluation, experiments, prompt
  management, and the Alyx AI engineering agent, built on the OpenInference OpenTelemetry conventions. Phoenix is the open-source
  counterpart used by tens of thousands of developers for local tracing, evaluation, and prompt iteration. Arize is vendor-
  and framework-agnostic with 30+ instrumentation providers and an OTLP-native ingestion path.
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis:
- aid: arize-ai:arize-ax
  name: Arize AX
  tags:
  - LLM Observability
  - Evaluation
  - Tracing
  - Enterprise
  humanURL: https://arize.com/docs/ax
  properties:
  - url: https://arize.com/docs/ax
    type: Documentation
  - url: https://app.arize.com/
    type: ApplicationURL
  description: Arize AX is the commercial AI engineering platform covering tracing, evaluation, experiments, prompt management,
    annotations, and dashboards for LLM applications and agents. Built on OpenInference and OpenTelemetry with 30+ provider
    integrations, and available in Generative and ML & CV variants for different workloads.
- aid: arize-ai:phoenix
  name: Phoenix
  tags:
  - Open Source
  - LLM Observability
  - Tracing
  - Evaluation
  humanURL: https://phoenix.arize.com/
  properties:
  - url: https://docs.arize.com/phoenix
    type: Documentation
  - url: https://github.com/Arize-ai/phoenix
    type: SourceCode
  - url: https://pypi.org/project/arize-phoenix/
    type: SDKs
  description: Phoenix is Arize's open-source LLM observability platform offering local tracing, evaluation, experiments,
    and prompt iteration. Distributed as a Python package with a local UI, deployable in notebooks, containers, or self-hosted
    servers, and instrumented through OpenInference OpenTelemetry conventions.
- aid: arize-ai:openinference
  name: OpenInference
  tags:
  - Open Source
  - OpenTelemetry
  - Tracing
  - Instrumentation
  humanURL: https://github.com/Arize-ai/openinference
  properties:
  - url: https://github.com/Arize-ai/openinference
    type: SourceCode
  - url: https://opentelemetry.io/
    type: Specification
  description: OpenInference is Arize's open-source set of OpenTelemetry conventions and instrumentation libraries for LLM
    applications, agents, RAG pipelines, and frameworks. Provides Python and TypeScript instrumentors for OpenAI, Anthropic,
    LangChain, LlamaIndex, CrewAI, and dozens more, emitting OTLP-compatible spans consumable by Phoenix, Arize AX, or any
    OTel backend.
- aid: arize-ai:alyx
  name: Alyx
  tags:
  - AI Agent
  - Engineering Assistant
  - Debugging
  - Evaluation
  humanURL: https://arize.com/alyx
  properties:
  - url: https://arize.com/alyx
    type: Documentation
  description: Alyx is Arize's AI engineering agent that helps developers debug traces, create evaluators, build dashboards,
    and compare experiments inside the Arize AX platform.
- aid: arize-ai:arize-ai-traces-api
  name: Arize AI Traces API
  description: OTLP trace ingestion
  humanURL: https://arize.com/docs/ax
  tags:
  - Traces
  properties:
  - type: OpenAPI
    url: openapi/arize-ai-traces-api-openapi.yml
common:
- type: AgenticAccess
  url: agentic-access/arize-ai-agentic-access.yml
- type: DomainSecurity
  url: security/arize-ai-domain-security.yml
- type: Authentication
  url: authentication/arize-ai-authentication.yml
- type: Website
  url: https://arize.com/
- type: Documentation
  url: https://arize.com/docs/ax
- type: PhoenixDocumentation
  url: https://docs.arize.com/phoenix
- type: Blog
  url: https://arize.com/blog/
- type: Pricing
  url: https://arize.com/pricing/
- type: Login
  url: https://app.arize.com/
- type: GitHubOrganization
  url: https://github.com/Arize-ai
- type: GitHubRepository
  url: https://github.com/Arize-ai/phoenix
- type: GitHubRepository
  url: https://github.com/Arize-ai/openinference
- type: LinkedIn
  url: https://www.linkedin.com/company/arizeai/
- type: Community
  url: https://arize-ai.slack.com/
- type: Features
  data:
  - name: LLM Tracing
    description: Capture spans for LLM calls, retrieval steps, tool invocations, and agent loops via OpenInference OTel.
  - name: LLM Evaluation
    description: Run built-in and custom evaluators on production traces, experiments, and datasets.
  - name: Experiments
    description: Compare prompt and model variants over curated datasets with structured logging.
  - name: Prompt Management
    description: Playground, hub, builder, and versioning for prompts used across applications.
  - name: Annotations
    description: Capture human feedback on traces and outputs for evaluator development and dataset curation.
  - name: Alyx AI Engineer
    description: AI assistant for debugging, evaluator authoring, dashboarding, and experiment comparison.
  - name: ML Monitoring
    description: Drift, data quality, and performance monitoring for traditional ML and computer vision models.
  - name: Phoenix OSS
    description: Open-source local tracing and evaluation tool runnable in notebooks or self-hosted.
- type: UseCases
  data:
  - name: LLM Application Observability
    description: Monitor production LLM applications with traces, evaluators, and alerting.
  - name: Agent Debugging
    description: Inspect multi-step agent runs across tool calls and intermediate reasoning.
  - name: RAG Quality Monitoring
    description: Evaluate retrieval and generation quality over time in RAG systems.
  - name: ML Monitoring
    description: Detect drift and degradation in classical ML and CV models.
  - name: Local Development
    description: Iterate on prompts and evals locally with Phoenix before shipping to Arize AX.
- type: Integrations
  data:
  - name: OpenAI
    description: OpenInference instrumentation for OpenAI Chat Completions, Assistants, and Responses APIs.
  - name: Anthropic
    description: Instrumentation for Anthropic Claude models.
  - name: LangChain
    description: Instrumentation and evaluators for LangChain chains and agents.
  - name: LangGraph
    description: Trace and evaluate LangGraph stateful agents.
  - name: LlamaIndex
    description: Instrumentation for LlamaIndex RAG pipelines.
  - name: CrewAI
    description: Trace CrewAI multi-agent crews.
  - name: DSPy
    description: Trace and evaluate DSPy programs.
  - name: Vercel AI SDK
    description: Instrumentation for Vercel AI SDK applications.
  - name: OpenTelemetry
    description: OTLP-native ingestion compatible with any OTel collector or backend.
  - name: Bedrock
    description: Instrumentation for AWS Bedrock model invocations.
  - name: Vertex AI
    description: Instrumentation for Google Vertex AI and Gemini.
- type: LlmsText
  url: https://arize.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com