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Average Ratings 0 Ratings

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features
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support

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Write a Review

Description

Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.

Description

Spanlens is an open-source observability platform licensed under MIT that enables developers to effectively track each interaction their applications have with services like OpenAI, Anthropic, Gemini, Mistral, OpenRouter, Azure OpenAI, or a local Ollama model. The integration process is incredibly simple, requiring just a single line of code to change the client's baseURL to the Spanlens proxy, or by executing "npx @spanlens/cli init," which prompts a wizard to automatically adjust your code. Once integrated, all requests are meticulously logged, capturing details such as the model used, token counts, latency, cost, and the complete prompt and response body, while also seamlessly reconstructing streaming responses. The accompanying dashboard transforms this raw log data into actionable operational insights. Cost tracking functionality allows users to break down expenditures by individual requests, models, and end users, while also distinguishing prompt-cache tokens to provide clarity on actual savings rather than simply the total costs. Additionally, agent tracing presents multi-step workflows visually, using Gantt waterfalls and node-and-edge graphs to emphasize the critical path, enabling developers to pinpoint the slowest dependencies in a fan-out scenario. This comprehensive approach not only enhances visibility but also empowers users to optimize their model interactions for better efficiency and cost management.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Bedrock Yes 
Codestral Yes 
Conda Yes 
CrewAI Yes 
Databricks Yes 
Gemini Enterprise Agent Platform Yes 
GitHub Yes 
Guardrails AI Yes 
Haystack Yes 
LangChain Yes 
LlamaIndex Yes 
Ministral 8B Yes 
Mistral AI Yes 
Mistral Large Yes 
Mistral NeMo Yes 
Mistral Small Yes 
Mixtral 8x7B Yes 
OpenAI Yes 
Slack Yes 
Vercel Yes 

Integrations

Amazon Bedrock No 
Codestral No 
Conda No 
CrewAI No 
Databricks No 
Gemini Enterprise Agent Platform No 
GitHub No 
Guardrails AI No 
Haystack No 
LangChain No 
LlamaIndex No 
Ministral 8B No 
Mistral AI No 
Mistral Large No 
Mistral NeMo No 
Mistral Small No 
Mixtral 8x7B No 
OpenAI No 
Slack No 
Vercel No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Arize AI

Country

United States

Website

docs.arize.com/phoenix

Vendor Details

Company Name

Spanlens

Founded

2026

Country

South Korea

Website

spanlens.io

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