tools
Braintrust
Braintrust helps teams trace AI applications, evaluate outputs, find production issues, and improve agents.
Braintrust is an AI observability and evaluation platform for engineering, product, and AI teams. It records agent traces, prompts, responses, tool calls, latency, cost, and quality data.
Teams can run evaluations against datasets, compare prompts and models, score outputs with code, models, or humans, investigate recurring behaviors, and turn production traces into regression datasets. It does not provide a general-purpose AI model; model usage and some data processing or scoring incur additional charges.
Features
- Inspect prompts, responses, and tool calls in real time
- Run evaluations against versioned datasets
- Compare prompts and models side by side
- Score outputs with LLMs, code, or human reviewers
- Search production traces and identify recurring behaviors
- Turn production traces into evaluation datasets
- Query logs and run evaluations through its MCP server
- Use SDKs for Python, TypeScript, Go, Ruby, C#, and more
Use cases
- Trace production AI agents and tool calls
- Evaluate customer-support responses before release
- Compare prompts and models against test datasets
- Find recurring failures across production traces
- Build regression tests from real failures
- Monitor latency, cost, and response quality
Pros
Cons
Pricing
- Starting price
- $249 / month
- Pricing checked
- 2026-09-19
Starter
$0 / month
- $10 credits + tok rates
- 1 GB processed data + $4/GB
- 10k scores + $2.50/1k
- 14-day retention
- Unlimited users, projects, datasets, playgrounds, and experiments
Pro
$249 / month
- $100 credits + tok rates
- 5 GB processed data + $3/GB
- 50k scores + $1.50/1k
- 30-day retention + $0.50/GB/mo
- Custom charts, environments, priority support, RBAC, and more
Enterprise
Custom pricing
- Custom data retention and export
- RBAC and premium support
- On-prem or hosted deployment
- For high volume or privacy-sensitive data