# Braintrust

```json
{
  "name": "Braintrust",
  "slug": "braintrust",
  "url": "https://composio.dev/toolkits/braintrust",
  "markdown_url": "https://composio.dev/toolkits/braintrust.md",
  "logo_url": "https://logos.composio.dev/api/braintrust",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T14:44:11.495Z"
}
```

![Braintrust logo](https://logos.composio.dev/api/braintrust)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Braintrust MCP or direct API to manage prompts, inspect experiments, query evaluations, and review production traces through natural language.

## Summary

Braintrust is an AI engineering platform for prompts, datasets, experiments, evaluations, observability, and production AI apps.
Use it to ship better AI systems with faster debugging, clearer evals, and tighter feedback loops.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 17

## Images

- Logo: https://logos.composio.dev/api/braintrust

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Braintrust.
  - Setup:
    - Configure Api Key credentials for Braintrust.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Compare failed evaluations across recent experiments
- Create dataset from production failure logs
- Summarize latency spikes in Braintrust traces

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BRAINTRUST_CREATE_DATASET` | Create Dataset | Create a named dataset under a Braintrust project, or return the existing dataset unchanged when its name already exists in that project. |
| `BRAINTRUST_CREATE_EXPERIMENT` | Create Experiment | Create an experiment under a Braintrust project. When its name already exists, Braintrust returns the existing experiment unchanged unless ensure_new is true, which creates an experiment with a unique name. |
| `BRAINTRUST_CREATE_PROJECT` | Create Project | Create a Braintrust project, or return the existing project unchanged when its name already exists. |
| `BRAINTRUST_CREATE_PROMPT` | Create Prompt | Upsert a versioned prompt configuration under a Braintrust project without invoking it. The same project and slug reuse the prompt ID but create a new version that replaces the stored prompt configuration with the submitted configuration. MCP attachments and tool-function bindings are unsupported. |
| `BRAINTRUST_DELETE_PROJECT` | Delete Project | Soft-delete a Braintrust project and return its deletion state. |
| `BRAINTRUST_DELETE_RESOURCE` | Delete Experiment, Dataset, or Prompt | Delete one Braintrust experiment, dataset, or prompt by UUID for explicit lifecycle cleanup. |
| `BRAINTRUST_FETCH_EVENTS` | Fetch Events | Fetch one newest-to-oldest page of project log, experiment, or dataset events. |
| `BRAINTRUST_GET_RESOURCE` | Get Braintrust Resource | Get one project, experiment, dataset, prompt, or function by UUID. |
| `BRAINTRUST_INSERT_DATASET_EVENTS` | Insert Dataset Events | Upsert a batch of examples into an existing Braintrust dataset. New or omitted IDs insert events; an existing supplied ID replaces that event's current values. |
| `BRAINTRUST_INSERT_EXPERIMENT_EVENTS` | Insert Experiment Events | Upsert a batch of result events into an existing Braintrust experiment. New or omitted IDs insert events; an existing supplied ID replaces that event's current values. |
| `BRAINTRUST_LIST_RESOURCES` | List Braintrust Resources | List and filter one page of projects, experiments, datasets, prompts, or functions visible to the connected Braintrust API key. |
| `BRAINTRUST_QUERY_DATA` | Query Braintrust Data | Run one bounded synchronous read-only BTQL query over Braintrust project logs, an experiment, or a dataset. The first-page query must end with a positive LIMIT; continue later pages by passing the returned next_cursor unchanged. |
| `BRAINTRUST_SUMMARIZE_RESOURCE` | Summarize Experiment or Dataset | Return metadata and optional aggregate summaries for one Braintrust experiment or dataset. |
| `BRAINTRUST_UPDATE_DATASET` | Update Dataset | Update the name, description, tags, or metadata of a Braintrust dataset. At least one non-null mutable field is required. |
| `BRAINTRUST_UPDATE_EXPERIMENT` | Update Experiment | Update selected metadata and linkage fields on a Braintrust experiment. At least one non-null mutable field is required. |
| `BRAINTRUST_UPDATE_PROJECT` | Update Project | Update selected fields of a Braintrust project. At least one non-null mutable field is required: name, description, or settings. |
| `BRAINTRUST_UPDATE_PROMPT` | Update Prompt | Update a Braintrust prompt's metadata or configuration without invoking it. At least one non-null mutable field is required. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Braintrust
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["braintrust"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["braintrust"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Braintrust tools with your agent

Send a request, execute the Braintrust tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "List recent Braintrust experiments and summarize failed evaluations"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List recent Braintrust experiments and summarize failed evaluations" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Braintrust and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["braintrust"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["braintrust"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Braintrust request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Braintrust tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("List recent Braintrust experiments and summarize failed evaluations")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List recent Braintrust experiments and summarize failed evaluations",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Braintrust Integration

- Supports both Braintrust MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable prompt, dataset, and experiment workflows
- Rich coverage for reading, writing, and querying your Braintrust AI engineering data

### 2. Managed Auth

- Secure API key handling without hard-coding Braintrust credentials in your agent code
- Central place to manage, scope, and revoke Braintrust access
- Per user and per environment credentials, so staging and production stay cleanly separated

### 3. Agent Optimized Design

- Tools are tuned for language models, so agents can inspect experiments and evaluations with fewer broken calls
- Clear tool schemas help agents understand Braintrust resources like prompts, datasets, logs, and traces
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Braintrust
- Scoped, least privilege access to Braintrust projects, experiments, and observability data
- Full audit trail of agent actions to support review, debugging, and compliance

## Use Braintrust with any AI Agent Framework

Choose a framework you want to connect Braintrust with:

- [ChatGPT](https://composio.dev/toolkits/braintrust/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/braintrust/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/braintrust/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/braintrust/framework/atomic-agent)

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## Frequently Asked Questions

### Do I need my own developer credentials to use Braintrust with Composio?

Yes, Braintrust requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
