mangodesk 0.3.0

tau-bench wrapper with cloud dashboard and trajectory tracking

MangoDesk CLI

A wrapper around tau-bench that adds cloud dashboard and trajectory tracking capabilities.

Installation

# Using pipx (recommended)
pipx install mangodesk

# Using pip
pip install mangodesk

Updating

# Using pipx
pipx upgrade mangodesk

# Using pip
pip install --upgrade mangodesk

Quick Start

# 1. Initialize tau-bench (clones and installs the repository)
mangodesk init

# 2. Set your API keys
mangodesk set MANGO_API_KEY=sk-mango-xxx      # From https://mangodesk-api-ezq8.onrender.com
mangodesk set OPENAI_API_KEY=sk-xxx           # For OpenAI models
mangodesk set ANTHROPIC_API_KEY=sk-xxx        # For Anthropic models

# 3. Run evaluation
mangodesk eval --env retail --model gpt-4o --model-provider openai

# 4. View results in the dashboard
# The URL is printed after the evaluation completes

Commands

Initialize tau-bench

# Clone to ~/.mangodesk/tau-bench (default)
mangodesk init

# Clone to a custom location
mangodesk init /path/to/tau-bench

Downloads and installs the tau-bench repository.

Run evaluation

mangodesk eval --env <environment> --model <model> [options]

Required:

• --env, -e - Environment name (retail, airline, telecom)
• --model, -m - Model name (e.g., gpt-4o, claude-3-5-sonnet)

Optional:

• --model-provider, -p - Model provider (openai, anthropic, google, mistral). Auto-detected from model name.
• --agent-strategy - Agent strategy: tool-calling (default), react, act
• --user-model - User simulator model (defaults to --model)
• --user-model-provider - User simulator provider (defaults to --model-provider)
• --user-strategy - User strategy: llm (default), react, verify, reflection
• --max-concurrency - Parallel task execution (default: 1)
• --task-ids, -t - Comma-separated list of task IDs to run
• --trials - Number of trials per task for pass^k metrics (default: 1)
• --no-upload - Skip uploading results to MangoDesk cloud
• --tau-bench-path - Path to tau-bench installation (auto-detected)

Examples:

# Basic evaluation
mangodesk eval --env retail --model gpt-4o --model-provider openai

# With Anthropic Claude
mangodesk eval --env airline --model claude-3-5-sonnet --model-provider anthropic

# Full configuration
mangodesk eval --env retail \
    --model gpt-4o --model-provider openai \
    --user-model gpt-4o --user-strategy llm \
    --agent-strategy tool-calling \
    --max-concurrency 10

# Run specific tasks
mangodesk eval --env retail -m gpt-4o -p openai --task-ids 1,2,3

# Multiple trials for pass^k metrics
mangodesk eval --env retail -m gpt-4o -p openai --trials 3

Configuration

# Set a configuration value
mangodesk set KEY=value

# View current configuration
mangodesk config

Configuration Keys:

• MANGO_API_KEY - MangoDesk API key for cloud upload
• OPENAI_API_KEY - OpenAI API key
• ANTHROPIC_API_KEY - Anthropic API key
• TAU_BENCH_PATH - Path to tau-bench installation
• API_URL - MangoDesk API URL (for self-hosted)

tau-bench Environments

MangoDesk supports all tau-bench environments:

• retail - E-commerce customer service
• airline - Flight booking and management
• telecom - Telecommunications support

See the tau-bench repository for environment details.

License

Proprietary - Copyright © MangoDesk Inc. All rights reserved.