Phoenix
An LLM tracing and evaluation tool developed by Arize, featuring native OpenTelemetry (OTel) tracing capabilities. It is licensed under the Elastic License 2.0, meaning its source code is visible but it is not truly open source in the conventional sense.
Core Facts
Timeline (last 90 days)
The author recommends Langfuse, Opik, MLflow, Phoenix, and AcruxCore as tools with native LangChain integration.
Phoenix uses the Elastic-2.0 license, which is a source-available rather than OSI-certified open-source license.
Evaluations with Phoenix 101, hosted by Laurie Voss, will start from evaluation fundamentals in Turing Hall.
2D simulators (such as FARSITE and Phoenix) embed validated physical equations, and their outputs naturally carry accurate combustion dynamics labels.
During the real task run, the execution order was: Phoenix starts first, then Hermes begins working, and Relay exports trace data to Phoenix in real time.
Traces in Phoenix are presented turn by turn, corresponding to each round of the agent's think-act loop (in ReAct mode, one reasoning step plus one tool call).
Patrick Moorhead is an NVIDIA technical marketing engineer who demonstrated using NeMo Relay to perform chain tracing on the Hermes agent and visualize it in Phoenix.
The trace structure displayed in Phoenix is essentially a tree of Spans, where each Span represents a discrete operation and records the start time, end time, input parameters, and return values.
conn.assigns is the standard mechanism for passing data across Plugs and Controllers within the same request lifecycle.
Plug is the foundational abstraction for Phoenix's request processing pipeline, essentially being a function or module that receives a %Plug.Conn{} struct and returns a struct of the same type.
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All Facts (20)
Phoenix is open-sourced by Arize AI and focuses on experiment tracking and evaluation for LLM applications, complementing Arize's commercial ML monitoring platform.
65%UnverifiedLangSmith、Phoenix、Helicone等专门的LLM监控平台已经出现，反映业界对AI可观测性的重视
85%UnverifiedLangSmith, LangFuse, and Phoenix (Arize) are observability tools designed specifically for LLM applications, combining trace tracking with prompt versioning, token consumption, and structural compliance auditing.
60%UnverifiedThe AMD R7-H255 is manufactured using TSMC's 4nm process.
60%UnverifiedThe author recommends Langfuse, Opik, MLflow, Phoenix, and AcruxCore as tools with native LangChain integration.
50%UnverifiedPhoenix uses the Elastic-2.0 license, which is a source-available rather than OSI-certified open-source license.
50%Unverified2D simulators (such as FARSITE and Phoenix) embed validated physical equations, and their outputs naturally carry accurate combustion dynamics labels.
50%UnverifiedTraces in Phoenix are presented turn by turn, corresponding to each round of the agent's think-act loop (in ReAct mode, one reasoning step plus one tool call).
50%UnverifiedPatrick Moorhead is an NVIDIA technical marketing engineer who demonstrated using NeMo Relay to perform chain tracing on the Hermes agent and visualize it in Phoenix.
50%UnverifiedThe trace structure displayed in Phoenix is essentially a tree of Spans, where each Span represents a discrete operation and records the start time, end time, input parameters, and return values.
50%UnverifiedDuring the real task run, the execution order was: Phoenix starts first, then Hermes begins working, and Relay exports trace data to Phoenix in real time.
50%UnverifiedPlug is the foundational abstraction for Phoenix's request processing pipeline, essentially being a function or module that receives a %Plug.Conn{} struct and returns a struct of the same type.
50%Unverifiedconn.assigns is the standard mechanism for passing data across Plugs and Controllers within the same request lifecycle.
50%UnverifiedSupabase's Realtime service is built using the Elixir language and the Phoenix framework, listening to PostgreSQL WAL changes and pushing them to clients via WebSocket.
50%UnverifiedLangSmith、Langfuse、Phoenix（Arize AI）等可观测性工具提供从请求到响应的全链路追踪能力
50%Unverified业界常用RAG可观测性工具包括LangSmith、Langfuse、Phoenix（Arize AI），提供全链路追踪能力
50%UnverifiedPhoenix 是一款专为 iOS 和 macOS 应用开发设计的 AI 编程代理，能够编写和修改代码、运行构建、诊断错误
50%UnverifiedPhoenix 可以直接运行构建与相关开发工具，在真实编译环境中验证代码是否可行
50%UnverifiedPhoenix 由独立开发者 Sreejith NP 打造
50%UnverifiedLangSmith、Phoenix、Arize 等工具用于分布式追踪，追踪模型调用链路中每个节点的输入输出、延迟和 Token 消耗
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