# FutureAGI

```json
{
  "name": "FutureAGI",
  "slug": "futureagi",
  "url": "https://composio.dev/toolkits/futureagi",
  "markdown_url": "https://composio.dev/toolkits/futureagi.md",
  "logo_url": "https://logos.composio.dev/api/futureagi",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:32:04.390Z"
}
```

![FutureAGI logo](https://logos.composio.dev/api/futureagi)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with FutureAGI MCP or direct API to run evaluations, inspect observability traces, manage datasets, and review annotations through natural language.

## Summary

FutureAGI is an AI evaluation and observability platform for testing, tracing, simulating, and improving AI systems.
Use it to measure model quality, debug failures, manage datasets, and close the loop with annotation workflows.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 9

## Images

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

## Authentication

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

## Suggested Prompts

- List failed FutureAGI evaluation runs
- Summarize latency spikes in production traces
- Create dataset from bad model outputs

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FUTUREAGI_LIST_AGENT_DEFINITIONS` | List Agent Definitions | List one page of agent definitions in the connected FutureAGI organization, optionally filtering by type, name, assistant ID, or agent ID. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_ANNOTATION_LABELS` | List Annotation Labels | List one page of FutureAGI annotation labels by type, name, project, or dataset, optionally including usage counts. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_ANNOTATION_QUEUES` | List Annotation Queues | List one page of FutureAGI annotation queues by status or name, optionally including item counts. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_CUSTOM_EVAL_CONFIGS` | List Custom Eval Configs | List custom evaluation configurations, optionally restricted to a FutureAGI project or evaluation task. |
| `FUTUREAGI_LIST_DATASETS` | List Datasets | List one page of datasets in the connected FutureAGI organization, optionally searching by name. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_EVAL_TASKS` | List Eval Tasks | List one page of FutureAGI evaluation tasks, optionally filtering by project ID or task name. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_PERSONAS` | List Personas | List one page of built-in and workspace personas for FutureAGI simulations, with type, simulation-mode, and text filters. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_RUN_TESTS` | List Run Tests | List one page of configured FutureAGI run tests without executing them, optionally filtering by name, source type, or prompt template. Returns next_cursor to continue. |
| `FUTUREAGI_LIST_SCENARIOS` | List Scenarios | List one page of FutureAGI simulation scenarios, optionally filtering by agent definition, agent type, or search text. Returns next_cursor to continue. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

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

Install the Composio SDK
```python
pip install composio_openai
```

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

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

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

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute FutureAGI Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute FutureAGI actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List recent FutureAGI evaluation runs and summarize the failing test cases'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List recent FutureAGI evaluation runs and summarize the failing test cases'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for FutureAGI
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

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

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to FutureAGI tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Find FutureAGI traces with high latency and summarize common failure patterns')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Find FutureAGI traces with high latency and summarize common failure patterns'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native FutureAGI Integration

- Supports both FutureAGI MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable evaluation, observability, dataset, simulation, and annotation workflows
- Rich coverage for reading, writing, and querying FutureAGI data without custom integration code

### 2. Managed Auth

- Securely store and use your FutureAGI API key without hard-coding it in agent code
- Central place to manage, scope, and revoke FutureAGI access across users and environments
- Per user and per environment credentials, so local testing and production stay cleanly separated

### 3. Agent Optimized Design

- FutureAGI tools are exposed with clear schemas that AI agents can understand and call reliably
- Tools are tuned using real error and success patterns to improve reliability over time
- Comprehensive execution logs, so you can see which evaluation, trace, dataset, or annotation action ran and why

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access FutureAGI
- Scoped, least privilege access to FutureAGI evaluation, observability, dataset, and annotation resources
- Full audit trail of agent actions to support debugging, review, and compliance

## Use FutureAGI with any AI Agent Framework

Choose a framework you want to connect FutureAGI with:

None listed.

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## Frequently Asked Questions

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

Yes, FutureAGI requires you to configure your own API key credentials. 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)