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Braintrust
Braintrust is an AI observability and evaluation platform for tracing agents, running evaluations, discovering production patterns, and improving AI quality.
About Braintrust
Braintrust is an AI observability and evaluation platform for teams building and operating AI agents and LLM applications. It helps teams inspect production traces, evaluate outputs, identify recurring behavior, and improve AI systems across development and production workflows.
The platform provides observability for agent traces, prompts, responses, tool calls, latency, cost, and quality. Teams can search production logs, monitor performance, create custom trace views, and use annotations to review AI behavior.
Braintrust supports evaluations with datasets, experiments, prompts, models, LLM based scoring, code scoring, and human review. Its Discovery features help investigate production traces, identify patterns, classify topics, and diagnose failures. The platform also provides an MCP server for querying logs, running evaluations, and updating prompts from an IDE.
Key Features
- Agent Observability: Inspect agent traces, prompts, responses, tool calls, latency, cost, and quality in production.
- AI Evaluations: Run experiments against datasets and score outputs with LLMs, code, or human reviewers.
- Production Discovery: Investigate traces, identify recurring patterns, classify topics, and diagnose failures.
- Datasets and Regression Testing: Convert production traces into evaluation datasets for testing real failures and edge cases.
- Prompt and Model Optimization: Compare prompts and models side by side and use Loop to generate test cases, scorers, and prompt improvements.
- MCP and Developer Access: Query logs, run evaluations, and update prompts from coding environments through the Braintrust MCP server.
Pricing
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Starter: $0/month. Includes $10 in model credits, 1 GB of processed data per month, 10,000 scores, 14 day data retention, and unlimited users, projects, datasets, playgrounds, and experiments. Additional processed data is $4 per GB and additional scores are $2.50 per 1,000.
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Pro: $249/month. Includes $100 in model credits, 5 GB of processed data per month, 50,000 scores, 30 day data retention, custom charts, environments, priority support, and RBAC. Additional processed data is $3 per GB and additional scores are $1.50 per 1,000.
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Enterprise: Custom pricing. Includes custom data retention and export, RBAC, premium support, and on premises or hosted deployment options for high volume or privacy sensitive data.
Use Cases
- Monitoring production AI agents and LLM applications
- Evaluating prompts, models, and agent outputs
- Investigating agent failures and recurring production patterns
- Creating regression datasets from real traces and edge cases
- Reviewing AI outputs with human annotations
- Managing AI quality workflows across engineering and product teams
Pros & Cons
Pros:
- Combines agent observability, evaluations, production discovery, and dataset management
- Supports LLM based scoring, code scoring, and human review
- Provides framework agnostic integrations and SDKs for multiple programming languages
- Includes an MCP server for accessing logs, evaluations, and prompts from developer tools
- Supports SaaS, BYOC, and self hosted deployment options
Cons:
- Starter includes 1 GB of processed data, 10,000 scores, and 14 day data retention
- Additional usage charges apply for processed data, scores, model credits, and extended data retention
- Enterprise deployment, custom retention, premium support, and some advanced access controls require an Enterprise plan
Integrations
Anthropic, OpenAI, OpenRouter, Gemini, AWS Bedrock, Azure AI Foundry, Baseten, Cerebras, Cohere, Databricks, Vercel AI SDK, OpenTelemetry, Claude Agent SDK, OpenAI Agents SDK, LlamaIndex, CrewAI, AgentScope, LangChain, LangSmith, LangGraph, A2A, Agno, AutoGen, Claude Code, Cursor, Codex, AWS Lambda, Cloudflare Workers AI, Cloudflare Agents, Braintrust MCP, Apollo GraphQL
FAQ
What is Braintrust?
Braintrust is an AI observability and evaluation platform for teams building and operating AI agents and LLM applications.
What can Braintrust monitor?
Braintrust can monitor agent traces, prompts, responses, tool calls, latency, cost, and quality in production.
What evaluation methods does Braintrust support?
Braintrust supports evaluation with LLM based scorers, code scorers, datasets, experiments, and human review.
Can Braintrust create datasets from production traces?
Yes. Braintrust can turn production traces into evaluation datasets for regression testing and analysis of real failures and edge cases.
Does Braintrust support MCP?
Yes. The Braintrust MCP server allows developers to query logs, run evaluations, and update prompts from an IDE or coding agent.
Does Braintrust offer self hosted deployment?
Yes. Braintrust documents SaaS, bring your own cloud, and self hosted deployment options.
Does Braintrust have a free plan?
Yes. The Starter plan costs $0 per month and includes model credits, processed data, scores, data retention, and unlimited users, projects, datasets, playgrounds, and experiments within the listed limits.
Last edited
September 29, 2026 at 7:37 PM by Venkatraman Chandrasekaran
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