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---
title: CUGA Agent
emoji: πŸ€–
colorFrom: purple
colorTo: blue
sdk: docker
sdk_version: "4.36"
app_file: app.py
pinned: false
app_port: 7860
description: Configurable Generalist Agent, leader in AppWorld Benchmark
short_description: Configurable Generalist Agent, leader in AppWorld Benchmark
---

<picture>
  <source media="(prefers-color-scheme: dark)" srcset="/docs/images/cuga-dark.png">
  <source media="(prefers-color-scheme: light)" srcset="/docs/images/cuga-light.png">
  <img alt="CUGA" src="/docs/images/cuga-dark.png">
</picture>

<div align="center">

# CUGA: The Configurable Generalist Agent

### Start with a generalist. Customize for your domain. Deploy faster!

Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for performance/cost tradeoffs and ongoing improvements. CUGA is a state-of-the-art generalist agent designed with enterprise needs in mind, so you can focus on configuring your domain tools, policies and workflow.

---

[![πŸ¦‰πŸ€— Try CUGA Live on Hugging Face Spaces](https://img.shields.io/badge/πŸ¦‰πŸ€—_Try_CUGA_Live_on_Hugging_Face_Spaces-FFD21E?style=for-the-badge)](https://huggingface.co/spaces/ibm-research/cuga-agent)

[![Python](https://shields.io/badge/Python-3.12-blue?logo=python&style=for-the-badge)](https://www.python.org/)
[![Status](https://shields.io/badge/Status-Active-success?logo=checkmarx&style=for-the-badge)]()
[![Documentation](https://shields.io/badge/Documentation-Available-blue?logo=gitbook&style=for-the-badge)](https://docs.cuga.dev)
[![Discord](https://shields.io/badge/Discord-Join-blue?logo=discord&style=for-the-badge)](https://discord.gg/aH6rAEEW)

[![AppWorld](https://img.shields.io/badge/%F0%9F%A5%87%20%231%20on-AppWorld-gold?style=for-the-badge)](https://appworld.dev/leaderboard)
[![WebArena](https://img.shields.io/badge/Top--tier%20on-WebArena-silver?style=for-the-badge)](https://docs.google.com/spreadsheets/d/1M801lEpBbKSNwP-vDBkC_pF7LdyGU1f_ufZb_NWNBZQ/edit?gid=0#gid=0)

</div>


## Why CUGA?

### πŸ† Benchmark Performance

CUGA achieves state-of-the-art performance on leading benchmarks:

- πŸ₯‡ **#1 on [AppWorld](https://appworld.dev/leaderboard)** β€” a benchmark with 750 real-world tasks across 457 APIs
- πŸ₯ˆ **Top-tier on [WebArena](https://docs.google.com/spreadsheets/d/1M801lEpBbKSNwP-vDBkC_pF7LdyGU1f_ufZb_NWNBZQ/edit?gid=0#gid=0)** (#1 from 02/25 - 09/25) β€” a complex benchmark for autonomous web agents across application domains

### ✨ Key Features & Capabilities

- **High-performing generalist agent** β€” Benchmarked on complex web and API tasks. Combines best-of-breed agentic patterns (e.g. planner-executor, code-act) with structured planning and smart variable management to prevent hallucination and handle complexity

- **Configurable reasoning modes** β€” Balance performance and cost/latency with flexible modes ranging from fast heuristics to deep planning, optimizing for your specific task requirements

- **Flexible agent and tool integration** β€” Seamlessly integrate tools via OpenAPI specs, MCP servers, and Langchain, enabling rapid connection to REST APIs, custom protocols, and Python functions

- **Integrates with Langflow** β€” Low-code visual build experience for designing and deploying agent workflows without extensive coding

- **Open-source and composable** β€” Built with modularity in mind, CUGA itself can be exposed as a tool to other agents, enabling nested reasoning and multi-agent collaboration. Evolving toward enterprise-grade reliability

- **Configurable policy and human-in-the-loop instructions** _(Experimental)_ β€” Configure policy-aware instructions and approval gates to improve alignment and ensure safe agent behavior in enterprise contexts

- **Save-and-reuse capabilities** _(Experimental)_ β€” Capture and reuse successful execution paths (plans, code, and trajectories) for faster and consistent behavior across repeated tasks

Explore the [Roadmap](#roadmap) to see what's ahead, or join the [🀝 Call for the Community](#call-for-the-community) to get involved.


## 🎬 CUGA in Action

### Hybrid Task Execution

Watch CUGA seamlessly combine web and API operations in a single workflow:

**Example Task:** `get top account by revenue from digital sales, then add it to current page`

https://github.com/user-attachments/assets/0cef8264-8d50-46d9-871a-ab3cefe1dde5

<details>
<summary><b>Would you like to test this? (Advanced Demo)</b></summary>

Experience CUGA's hybrid capabilities by combining API calls with web interactions:

### Setup Steps:

1. **Switch to hybrid mode:**

   ```bash
   # Edit ./src/cuga/settings.toml and change:
   mode = 'hybrid'  # under [advanced_features] section
   ```

2. **Install browser API support:**

   - Installs playwright browser API and Chromium browser
   - The `playwright` installer should already be included after installing with [Quick Start](#-quick-start)

   ```bash
   playwright install chromium
   ```

3. **Start the demo:**

   ```bash
   cuga start demo
   ```

4. **Enable the browser extension:**

   - Click the extension puzzle icon in your browser
   - Toggle the CUGA extension to activate it
   - This will open the CUGA side panel

5. **Open the test application:**

   - Navigate to: [Sales app](https://samimarreed.github.io/sales/)

6. **Try the hybrid task:**
   ```
   get top account by revenue from digital sales then add it to current page
   ```

🎯 **What you'll see:** CUGA will fetch data from the Digital Sales API and then interact with the web page to add the account information directly to the current page - demonstrating seamless API-to-web workflow integration!

</details>

### Human in the Loop Task Execution

Watch CUGA pause for human approval during critical decision points:

**Example Task:** `get best accounts`

https://github.com/user-attachments/assets/d103c299-3280-495a-ba66-373e72554e78

<details>
<summary><b>Would you like to try this? (HITL Demo)</b></summary>

Experience CUGA's Human-in-the-Loop capabilities where the agent pauses for human approval at key decision points:

### Setup Steps:

1. **Enable HITL mode:**

   ```bash
   # Edit ./src/cuga/settings.toml and ensure:
   api_planner_hitl = true  # under [advanced_features] section
   ```

2. **Start the demo:**

   ```bash
   cuga start demo
   ```

3. **Try the HITL task:**
   ```
   get best accounts
   ```

🎯 **What you'll see:** CUGA will pause at critical decision points, showing you the planned actions and waiting for your approval before proceeding.

</details>

## πŸš€ Quick Start

<details>
<summary><em style="color: #666;">πŸ“‹ Prerequisites (click to expand)</em></summary>

- **Python 3.12+** - [Download here](https://www.python.org/downloads/)
- **uv package manager** - [Installation guide](https://docs.astral.sh/uv/getting-started/installation/)

</details>

<details>
<summary><em style="color: #666;">πŸ”§ Optional: Local Digital Sales API Setup (only if remote endpoint fails)</em></summary>

> The demo comes pre-configured with the Digital Sales API β†’ [πŸ“– API Docs](https://digitalsales.19pc1vtv090u.us-east.codeengine.appdomain.cloud/docs)

**Only follow these steps if you encounter issues with the remote Digital Sales endpoint:**

```bash
# Start the Digital Sales API locally on port 8000
uv run digital_sales_openapi

# Then update ./src/cuga/backend/tools_env/registry/config/mcp_servers.yaml to use localhost:
# Change the digital_sales URL from the remote endpoint to:
# http://localhost:8000
```

</details>

```bash
# In terminal, clone the repository and navigate into it
git clone https://github.com/cuga-project/cuga-agent.git
cd cuga-agent

# 1. Create and activate virtual environment
uv venv --python=3.12 && source .venv/bin/activate

# 2. Install dependencies
uv sync

# 3. Set up environment variables
# Create .env file with your API keys
echo "OPENAI_API_KEY=your-openai-api-key-here" > .env

# 4. Start the demo
cuga start demo

# Chrome will open automatically at https://localhost:7860
# then try sending your task to CUGA: 'get top account by revenue from digital sales'

# 5. View agent trajectories (optional)
cuga viz

# This launches a web-based dashboard for visualizing and analyzing
# agent execution trajectories, decision-making, and tool usage

```

<details>
<summary>πŸ€– LLM Configuration - Advanced Options</summary>

---

Refer to: [`.env.example`](.env.example) for detailed examples.

CUGA supports multiple LLM providers with flexible configuration options. You can configure models through TOML files or override specific settings using environment variables.

## Supported Platforms

- **OpenAI** - GPT models via OpenAI API (also supports LiteLLM via base URL override)
- **IBM WatsonX** - IBM's enterprise LLM platform
- **Azure OpenAI** - Microsoft's Azure OpenAI service
- **RITS** - Internal IBM research platform
- **OpenRouter** - LLM API gateway provider

## Configuration Priority

1. **Environment Variables** (highest priority)
2. **TOML Configuration** (medium priority)
3. **Default Values** (lowest priority)

### Option 1: OpenAI 🌐

**Setup Instructions:**

1. Create an account at [platform.openai.com](https://platform.openai.com)
2. Generate an API key from your [API keys page](https://platform.openai.com/api-keys)
3. Add to your `.env` file:
   ```env
   # OpenAI Configuration
   OPENAI_API_KEY=sk-...your-key-here...
   AGENT_SETTING_CONFIG="settings.openai.toml"

   # Optional overrides
   MODEL_NAME=gpt-4o                    # Override model name
   OPENAI_BASE_URL=https://api.openai.com/v1  # Override base URL
   OPENAI_API_VERSION=2024-08-06        # Override API version
   ```

**Default Values:**

- Model: `gpt-4o`
- API Version: OpenAI's default API Version
- Base URL: OpenAI's default endpoint

### Option 2: IBM WatsonX πŸ”΅

**Setup Instructions:**

1. Access [IBM WatsonX](https://www.ibm.com/watsonx)
2. Create a project and get your credentials:
   - Project ID
   - API Key
   - Region/URL
3. Add to your `.env` file:

   ```env
   # WatsonX Configuration
   WATSONX_API_KEY=your-watsonx-api-key
   WATSONX_PROJECT_ID=your-project-id
   WATSONX_URL=https://us-south.ml.cloud.ibm.com  # or your region
   AGENT_SETTING_CONFIG="settings.watsonx.toml"

   # Optional override
   MODEL_NAME=meta-llama/llama-4-maverick-17b-128e-instruct-fp8  # Override model for all agents
   ```

**Default Values:**

- Model: `meta-llama/llama-4-maverick-17b-128e-instruct-fp8`

### Option 3: Azure OpenAI

**Setup Instructions:**

1. Add to your `.env` file:
   ```env
    AGENT_SETTING_CONFIG="settings.azure.toml"  # Default config uses ETE
    AZURE_OPENAI_API_KEY="<your azure apikey>"
    AZURE_OPENAI_ENDPOINT="<your azure endpoint>"
    OPENAI_API_VERSION="2024-08-01-preview"
   ```

### Option 4: LiteLLM Support

CUGA supports LiteLLM through the OpenAI configuration by overriding the base URL:

1. Add to your `.env` file:

   ```env
   # LiteLLM Configuration (using OpenAI settings)
   OPENAI_API_KEY=your-api-key
   AGENT_SETTING_CONFIG="settings.openai.toml"

   # Override for LiteLLM
   MODEL_NAME=Azure/gpt-4o              # Override model name
   OPENAI_BASE_URL=https://your-litellm-endpoint.com  # Override base URL
   OPENAI_API_VERSION=2024-08-06        # Override API version
   ```
### Option 5: OpenRouter Support
**Setup Instructions:**
1. Create an account at [openrouter.ai](https://openrouter.ai)
2. Generate an API key from your account settings
3. Add to your `.env` file:
   ```env
   # OpenRouter Configuration
   OPENROUTER_API_KEY=your-openrouter-api-key
   AGENT_SETTING_CONFIG="settings.openrouter.toml"
   OPENROUTER_BASE_URL="https://openrouter.ai/api/v1"
    # Optional override
   MODEL_NAME=openai/gpt-4o                    # Override model name
    ```


## Configuration Files

CUGA uses TOML configuration files located in `src/cuga/configurations/models/`:

- `settings.openai.toml` - OpenAI configuration (also supports LiteLLM via base URL override)
- `settings.watsonx.toml` - WatsonX configuration
- `settings.azure.toml` - Azure OpenAI configuration
- `settings.openrouter.toml` - OpenRouter configuration

Each file contains agent-specific model settings that can be overridden by environment variables.

</details>

<div style="margin: 20px 0; padding: 15px; border-left: 4px solid #2196F3; border-radius: 4px;">

πŸ’‘ **Tip:** Want to use your own tools or add your MCP tools? Check out [`src/cuga/backend/tools_env/registry/config/mcp_servers.yaml`](src/cuga/backend/tools_env/registry/config/mcp_servers.yaml) for examples of how to configure custom tools and APIs, including those for digital sales.

</div>


## Configurations

<details>
<summary>πŸ”’ Running with a secure code sandbox</summary>

Cuga supports isolated code execution using Docker/Podman containers for enhanced security.

1. **Install container runtime**: Download and install [Rancher Desktop](https://rancherdesktop.io/) or Docker.

2. **Install sandbox dependencies**:

   ```bash
   uv sync --group sandbox
   ```

3. **Start with remote sandbox enabled**:

   ```bash
   cuga start demo --sandbox
   ```

   This automatically configures Cuga to use Docker/Podman for code execution instead of local execution.

4. **Test your sandbox setup** (optional):

   ```bash
   # Test local sandbox (default)
   cuga test-sandbox

   # Test remote sandbox with Docker/Podman
   cuga test-sandbox --remote
   ```

   You should see the output: `('test succeeded
', {})`

**Note**: Without the `--sandbox` flag, Cuga uses local Python execution (default), which is faster but provides less isolation.

</details>

<details>
<summary>βš™οΈ Reasoning modes - Switch between Fast/Balanced/Accurate modes</summary>

## Available Modes under `./src/cuga`

| Mode       | File                                   | Description                                     |
| ---------- | -------------------------------------- | ----------------------------------------------- |
| `fast`     | `./configurations/modes/fast.toml`     | Optimized for speed                             |
| `balanced` | `./configurations/modes/balanced.toml` | Balance between speed and precision _(default)_ |
| `accurate` | `./configurations/modes/accurate.toml` | Optimized for precision                         |
| `custom`   | `./configurations/modes/custom.toml`   | User-defined settings                           |

## Configuration

```
configurations/
β”œβ”€β”€ modes/fast.toml
β”œβ”€β”€ modes/balanced.toml
β”œβ”€β”€ modes/accurate.toml
└── modes/custom.toml
```

Edit `settings.toml`:

```toml
[features]
cuga_mode = "fast"  # or "balanced" or "accurate" or "custom"
```

**Documentation:** [./docs/flags.html](./docs/flags.html)

</details>

<details>
<summary>🎯 Task Mode Configuration - Switch between API/Web/Hybrid modes</summary>

## Available Task Modes

| Mode     | Description                                                                 |
| -------- | --------------------------------------------------------------------------- |
| `api`    | API-only mode - executes API tasks _(default)_                              |
| `web`    | Web-only mode - executes web tasks using browser extension                  |
| `hybrid` | Hybrid mode - executes both API tasks and web tasks using browser extension |

## How Task Modes Work

### API Mode (`mode = 'api'`)

- Opens tasks in a regular web browser
- Best for API/Tools-focused workflows and testing

### Web Mode (`mode = 'web'`)

- Interface inside a browser extension (available next to browser)
- Optimized for web-specific tasks and interactions
- Direct access to web page content and controls

### Hybrid Mode (`mode = 'hybrid'`)

- Opens inside browser extension like web mode
- Can execute both API/Tools tasks and web page tasks simultaneously
- Starts from configurable URL defined in `demo_mode.start_url`
- Most versatile mode for complex workflows combining web and API operations

## Configuration

Edit `./src/cuga/settings.toml`:

```toml
[demo_mode]
start_url = "https://opensource-demo.orangehrmlive.com/web/index.php/auth/login"  # Starting URL for hybrid mode


[advanced_features]
mode = 'api'  # 'api', 'web', or 'hybrid'
```

</details>

<details>
<summary>πŸ“ Special Instructions Configuration</summary>

## How It Works

Each `.md` file contains specialized instructions that are automatically integrated into the CUGA's internal prompts when that component is active. Simply edit the markdown files to customize behavior for each node type.

**Available instruction sets:** `answer`, `api_planner`, `code_agent`, `plan_controller`, `reflection`, `shortlister`, `task_decomposition`

## Configuration

```
configurations/
└── instructions/
    β”œβ”€β”€ instructions.toml
    β”œβ”€β”€ default/
    β”‚   β”œβ”€β”€ answer.md
    β”‚   β”œβ”€β”€ api_planner.md
    β”‚   β”œβ”€β”€ code_agent.md
    β”‚   β”œβ”€β”€ plan_controller.md
    β”‚   β”œβ”€β”€ reflection.md
    β”‚   β”œβ”€β”€ shortlister.md
    β”‚   └── task_decomposition.md
    └── [other instruction sets]/
```

Edit `configurations/instructions/instructions.toml`:

```toml
[instructions]
instruction_set = "default"  # or any instruction set above
```

</details>

<details>
<summary><em style="color: #666;"> πŸ“Ή Optional: Run with memory</em></summary>

1. Install memory dependencies `uv sync --group memory`
1. Change `enable_memory = true` in `setting.toml`
2. Run `cuga start memory`

Watch CUGA with Memory enabled

[LINK]

<b>Would you like to test this? (Advanced Demo)</b>

### Setup Steps:

1. set `enable_memory` flag to true
2. Run `cuga start memory`
3. Run `cuga start demo_crm --sample-memory-data` 
4. go to the cuga webpage and type `Identify the common cities between my cuga_workspace/cities.txt and cuga_workspace/company.txt` . Here you should see the errors related to CodeAgent. Wait for a minute for `tips` to be generated. `Tips` generation can be confirmed from the  terminal where` cuga start memory` was run
5. Re-run the same utterance again and it should finish in lesser number of steps

</details>

## πŸ”§ Advanced Usage

<details>
<summary><b>πŸ’Ύ Save & Reuse</b></summary>

## Setup

β€’ Change `./src/cuga/settings.toml`: `cuga_mode = "save_reuse_fast"`
β€’ Run: `cuga start demo`

## Demo Steps

β€’ **First run**: `get top account by revenue`

- This is a new flow (first time)
- Wait for task to finish
- Approve to save the workflow
- Provide another example to help generalization of flow e.g. `get top 2 accounts by revenue`

β€’ **Flow now will be saved**:

- May take some time
- Flow will be successfully saved

β€’ **Verify reuse**: `get top 4 accounts by revenue`

- Should run faster using saved workflow

</details>

<details>
<summary><b>πŸ”§ Adding Tools: Comprehensive Examples</b></summary>

CUGA supports three types of tool integrations. Each approach has its own use cases and benefits:

## πŸ“‹ **Tool Types Overview**

| Tool Type     | Best For                               | Configuration      | Runtime Loading |
| ------------- | -------------------------------------- | ------------------ | --------------- |
| **OpenAPI**   | REST APIs, existing services           | `mcp_servers.yaml` | βœ… Build        |
| **MCP**       | Custom protocols, complex integrations | `mcp_servers.yaml` | βœ… Build        |
| **LangChain** | Python functions, rapid prototyping    | Direct import      | βœ… Runtime      |

## πŸ“š **Additional Resources**

- **Tool Registry**: [./src/cuga/backend/tools_env/registry/README.md](./src/cuga/backend/tools_env/registry/README.md)
- **Comprehensive example with different tools + MCP**: [./docs/examples/cuga_with_runtime_tools/README.md](Adding Tools)
- **CUGA as MCP**: [./docs/examples/cuga_as_mcp/README.md](docs/examples/cuga_as_mcp)

</details>

### Test Scenarios - E2E

The test suite covers various execution modes across different scenarios:

| Scenario                              | Fast Mode | Balanced Mode | Accurate Mode | Save & Reuse Mode |
| ------------------------------------- | --------- | ------------- | ------------- | ----------------- |
| **Find VP Sales High-Value Accounts** | βœ“         | βœ“             | βœ“             | -                 |
| **Get top account by revenue**        | βœ“         | βœ“             | βœ“             | βœ“                 |
| **List my accounts**                  | βœ“         | βœ“             | βœ“             | -                 |

### Additional Test Categories

**Unit Tests**

- Variables Manager: Core functionality, metadata handling, singleton pattern, reset operations
- Value Preview: Intelligent truncation, nested structure preservation, length-aware formatting

**Integration Tests**

- API Response Handling: Error cases, validation, timeout scenarios, parameter extraction
- Registry Services: OpenAPI integration, MCP server functionality, mixed service configurations
- Tool Environment: Service loading, parameter handling, function calling, isolation testing

## πŸ§ͺ Running Tests

Focused suites:

```bash
./src/scripts/run_tests.sh
```

## πŸ“Š Evaluation

For information on how to evaluate, see the [CUGA Evaluation Documentation](src/cuga/evaluation/README.md)

## πŸ“š Resources

- πŸ“– [Example applications](./docs/examples)
- πŸ“§ Contact: [CUGA Team](https://forms.office.com/pages/responsepage.aspx?id=V3D2_MlQ1EqY8__KZK3Z6UtMUa14uFNMi1EyUFiZFGRUQklOQThLRjlYMFM2R1dYTk5GVTFMRzNZVi4u&route=shorturl)


## Call for the Community

CUGA is open source because we believe **trustworthy enterprise agents must be built together**.  
Here's how you can help:

- **Share use cases** β†’ Show us how you'd use CUGA in real workflows.
- **Request features** β†’ Suggest capabilities that would make it more useful.
- **Report bugs** β†’ Help improve stability by filing clear, reproducible reports.

All contributions are welcome through [GitHub Issues](../../issues/new/choose) - whether it's sharing use cases, requesting features, or reporting bugs!

## Roadmap

Amongst other, we're exploring the following directions:

- **Policy support**: procedural SOPs, domain knowledge, input/output guards, context- and tool-based constraints
- **Performance improvements**: dynamic reasoning strategies that adapt to task complexity

### Before Submitting a PR

Please follow the contribution guide in [CONTRIBUTING.md](CONTRIBUTING.md).

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## Contributors

[![cuga agent contributors](https://contrib.rocks/image?repo=cuga-project/cuga-agent)](https://github.com/cuga-project/cuga-agent/graphs/contributors)