Braintrust AI Observability Platform

Description

Braintrust is an AI observability platform focused on helping teams build and deploy high-quality AI products. It addresses the unique challenges of monitoring and improving AI systems, which can drift, hallucinate, and regress silently. The platform provides tools to observe production AI, evaluate against expectations, and continuously iterate for better results.

Braintrust works by allowing users to inspect prompts, responses, and tool calls in real-time. It enables the measurement of quality through evaluations, scoring outputs with LLMs, code, or human input. Users can catch issues early and block bad releases before they reach production. The platform offers features like scalable trace ingestion, live performance monitoring, and automated alerts. It also provides SDKs for various programming languages, including Python, TypeScript, and Go, to facilitate easy integration into existing AI workflows.

Key capabilities include real-time trace inspection, which allows users to drill into tool calls and track latency, cost, and quality. The platform supports automated and human scoring to define what good looks like before shipping. Users can run experiments against real datasets, compare prompts side-by-side, and catch regressions automatically. Braintrust also offers customizable trace views, enabling users to build annotation interfaces tailored to their specific tasks. The platform integrates with various tools and frameworks, ensuring flexibility and ease of use. Braintrust is designed for teams running AI in production, from initial agent development to enterprise-scale deployments.

Braintrust is targeted at engineering, product, and AI teams. It is valuable for those building and deploying AI agents, customer support bots, and other AI-powered applications. The platform's value proposition lies in its ability to improve AI quality, reduce the risk of regressions, and accelerate the development cycle. By providing deep observability and evaluation capabilities, Braintrust helps teams build more reliable and effective AI products.

Braintrust AI Observability Platform's Core Features

• Real-time trace inspection

• Automated and human scoring

• Prompt comparison and experimentation

• Regression detection in CI

• Customizable trace views

• SDKs for multiple languages

• Scalable trace ingestion

• Live performance monitoring

• Automations and alerts

• Integration with existing AI stacks

• Versioned datasets

• Full-text search for traces

• SOC 2 Type II certified

• HIPAA and GDPR compliant

How to use Braintrust AI Observability Platform?

1. 1

   Explore the platform: Review the documentation and available resources.

2. 2

   Integrate the SDK: Use the provided SDKs for your preferred language to start tracing.

3. 3

   Inspect traces: Monitor prompts, responses, and tool calls in real-time.

4. 4

   Define evaluations: Set up evaluations to measure the quality of your AI outputs.

5. 5

   Score outputs: Utilize LLMs, code, or human input for scoring.

6. 6

   Analyze results: Identify and address regressions or performance issues.

7. 7

   Iterate and improve: Continuously refine your AI models based on the insights gained.

8. 8

   Deploy and monitor: Deploy your improved AI and continue monitoring its performance.

Braintrust AI Observability Platform's Use Cases

• AI Agent Monitoring
• Customer Support Bots
• Prompt Engineering
• Regression Testing
• Model Comparison
• Performance Analysis
• Dataset Creation
• Compliance Adherence

FAQ from Braintrust AI Observability Platform

• What is Braintrust?

  Braintrust is an AI observability platform for building quality AI products, helping teams trace production, run evals, and catch regressions.

• What are the key features of Braintrust?

  Key features include real-time trace inspection, automated and human scoring, prompt comparison, regression detection, and customizable trace views.

• How does Braintrust help improve AI quality?

  Braintrust helps improve AI quality by providing tools to inspect traces, measure quality with evals, and catch issues before they reach users.

• What programming languages are supported by Braintrust SDKs?

  Braintrust provides SDKs for Python, TypeScript, Go, Ruby, C#, and more.

• What compliance standards does Braintrust adhere to?

  Braintrust is SOC 2 Type II certified and compliant with GDPR and HIPAA regulations.

• Who is the target audience for Braintrust?

  Braintrust is designed for engineering, product, and AI teams building and deploying AI-powered applications.

• How does Braintrust handle data security?

  Braintrust is secure by default, offering SSO/SAML integration, granular permissions, and hybrid deployment options.

• What are the benefits of using Braintrust?

  Benefits include improved AI quality, reduced risk of regressions, accelerated development cycles, and better performance monitoring.

• Can I use Braintrust with my existing AI stack?

  Yes, Braintrust is framework agnostic and works with any stack you're already using.

• How can I get started with Braintrust?

  You can start by exploring the platform, integrating the SDK, and beginning to trace your AI applications.