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AgentOps vs Phoenix

Side-by-side comparison of AgentOps and Phoenix: pricing, features, API access, and community ratings.

AI comparison summary

AgentOps emphasizes production reliability with unique Time Travel Debugging for replaying agent runs and comprehensive cost tracking across 400+ LLM integrations, plus built-in security features like prompt injection detection. Phoenix takes a vendor-agnostic, OpenTelemetry-native approach that prioritizes data privacy through self-hosting and focuses on the complete development iteration cycle with LLM-as-a-judge evaluation. The key choice is between AgentOps' proprietary debugging tools and cost optimization features versus Phoenix's open-source flexibility and infrastructure control.

AgentOps
AgentOps

Trace, Debug, & Deploy Reliable AI Agents — the leading developer platform for AI agents and LLM apps.

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Phoenix
Phoenix

The open-source platform for AI agent development, tracing, and evaluation

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Category
AI observability
AI observability
Pricing
Freemium
Freemium
Starting price
USD 40/mo
Free tier
Audience
Technical
Technical
API available
Open source
Self-hostable
Model provider
Vendor Agnostic
Founded
Headquarters
US
Key strengths
  • ·Time Travel Debugging — rewind and replay agent runs with point-in-time precision
  • ·Broad compatibility with 400+ LLMs and agent frameworks via a single SDK
  • ·Detailed cost and token tracking across multiple agents
  • ·Full audit trail including logs, errors, and prompt injection detection
  • ·Full OpenTelemetry-native tracing for LLM agents
  • ·LLM-as-a-judge and human annotation for evaluation
  • ·Vendor-agnostic — works with any model, framework, or language
  • ·Self-hostable with zero data leaving your infrastructure
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