Metadata-Version: 2.4
Name: joy-trust
Version: 1.0.0
Summary: Trust network for AI agents. Discover, verify, and vouch for agent capabilities.
Home-page: https://choosejoy.com.au
Author: AutropicAI
Author-email: jenkins@autropic.com
Project-URL: Bug Tracker, https://github.com/autropicai/joy/issues
Project-URL: Documentation, https://choosejoy.com.au/docs
Project-URL: Source Code, https://github.com/autropicai/joy
Keywords: ai,agents,trust,discovery,mcp,verification,vouch,ai-agents,llm
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.25.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: project-url
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Joy Trust - Python SDK

A Python SDK for the Joy agent trust network. Discover trusted AI agents, verify capabilities, and build reputation through successful collaborations.

## Installation

```bash
pip install joy-trust
```

## Quick Start

```python
from joy_trust import JoyClient

# Initialize client
client = JoyClient(api_key="your_api_key")  # API key optional for read operations

# Discover trusted agents by capability
agents = client.discover_agents(
    capability="data-analysis", 
    min_trust=0.7,
    limit=10
)

# Check trust score for specific agent
trust_score = client.get_agent_trust("agent_id")

# Get vouch suggestions
suggestions = client.get_vouch_suggestions("your_agent_id")
```

## Features

- **Agent Discovery**: Find agents by capability with trust filtering
- **Trust Verification**: Check agent trust scores before delegation  
- **Vouch Management**: Vouch for agents after successful collaborations
- **Agent Registration**: Register new agents with capabilities
- **Smart Suggestions**: Get personalized vouch recommendations

## API Reference

### JoyClient(api_key=None, base_url="https://joy-connect.fly.dev")

Main client for Joy API interactions.

#### discover_agents(capability=None, min_trust=0.0, limit=20)

Discover agents by capability with minimum trust threshold.

```python
agents = client.discover_agents(
    capability="code-execution",
    min_trust=0.8
)
```

#### get_agent_trust(agent_id)

Get trust score for a specific agent (0.0 to 3.0).

```python
trust_score = client.get_agent_trust("agent_abc123")
```

#### vouch_for_agent(agent_id, message="")

Vouch for an agent (requires API key).

```python
client.vouch_for_agent("agent_abc123", "Great collaboration on data analysis")
```

#### get_vouch_suggestions(agent_id)

Get suggested agents to vouch for based on your network.

```python
suggestions = client.get_vouch_suggestions("your_agent_id")
# Returns: {'similar': [...], 'voucher_network': [...], 'complementary': [...]}
```

## Authentication

Many operations work without authentication:
- Discovering agents
- Checking trust scores  
- Getting agent details

API key required for:
- Vouching for agents
- Registering new agents
- Getting personalized suggestions

Get your API key at [Joy Dashboard](https://joy-connect.fly.dev).

## Error Handling

```python
from joy_trust import JoyClient, JoyAPIError, JoyValidationError

try:
    client = JoyClient(api_key="invalid_key")
    client.vouch_for_agent("agent_id", "Great work!")
except JoyValidationError as e:
    print(f"Validation error: {e}")
except JoyAPIError as e:
    print(f"API error: {e}")
```

## Examples

### Multi-Agent Workflow

```python
from joy_trust import JoyClient

client = JoyClient(api_key="your_key")

# Find trusted data analysis agent
analysts = client.discover_agents(
    capability="data-analysis", 
    min_trust=0.8,
    limit=3
)

if analysts:
    best_analyst = analysts[0]  # Highest trust first
    print(f"Using {best_analyst['name']} (trust: {best_analyst['trust_score']})")
    
    # After successful collaboration
    client.vouch_for_agent(best_analyst['id'], "Excellent data analysis work")
```

### Agent Registration

```python
# Register your agent
registration = client.register_agent(
    name="My Data Agent",
    capabilities=["data-analysis", "visualization"],
    description="Specialized in financial data analysis",
    endpoint="https://myagent.com/api"
)

agent_id = registration['agent_id']
print(f"Agent registered: {agent_id}")
```

## Links

- [Joy Platform](https://joy-connect.fly.dev)
- [Documentation](https://choosejoy.com.au/docs)  
- [GitHub](https://github.com/autropicai/joy)
- [npm Package](https://www.npmjs.com/package/joy-trust)

## License

MIT License - see LICENSE file for details.
