Auditi Review

Overview

Auditi is an open-source tool that combines tracing and evaluation in one platform, making it a valuable asset for data engineers and analytics leaders. Its unique approach to observability and evaluation helps users gain insights into AI agents' performance, allowing for more informed decision-making.

Key Features and Architecture

Auditi's key features include:

2-line auto-instrumentation that captures all OpenAI, Anthropic, and Google API calls
7+ LLM-as-Judge evaluators that run automatically on traces
Human annotation workflows when AI judges are not enough
Real-time cost tracking
Ability to turn production traces into fine-tuning datasetsAuditi's architecture is designed for ease of use and scalability. The tool is self-hosted with Docker Compose, allowing users to easily deploy and manage their instances. Additionally, Auditi provides a Python SDK, FastAPI, and React integration options for seamless integration with existing workflows.

Ideal Use Cases

Auditi is particularly useful in the following scenarios:

Evaluating AI agent performance in various environments
Identifying areas of improvement for AI-powered applications
Conducting thorough analysis of API calls and their impact on overall system performance
Creating fine-tuning datasets from production traces for further model development

Pricing and Licensing

The pricing model for Auditi is currently unknown. As the tool is open-source, users can freely use and modify it without incurring costs. However, this may change as the project evolves.

Pros and Cons

Pros:

Comprehensive tracing and evaluation capabilities
Easy to integrate with existing workflows through various SDKs and APIs
Real-time cost tracking for better budgeting and resource allocation
Open-source nature allows for customization and contribution to the communityCons:
Limited information available on pricing and licensing models
May require significant expertise in AI and machine learning to fully utilize the tool's features

Alternatives and How It Compares

While Auditi is a unique tool, it can be compared to other logging and evaluation platforms like Lang

Smith and Langfuse. However, Auditi differentiates itself by combining tracing and evaluation in one platform, making it a more comprehensive solution for AI agent performance analysis.

Auditi's strengths lie in its ability to provide real-time cost tracking and fine-tuning dataset creation capabilities, which are not typically found in other logging tools. However, users should consider their specific needs and requirements before choosing Auditi or an alternative solution.