opencomputer-agents-sdk 0.1.0

Official Python SDK for OC Agents - Run AI agents programmatically

OC Agents SDK

Official Python SDK for OC Agents - Run AI agents programmatically.

Installation

pip install opencomputer-agents-sdk

Quick Start

import asyncio
from oc_agents import OCAgents, RunOptions

async def main():
    client = OCAgents(api_key='flt_xxx')
    await client.connect()
    
    # Run a task and wait for the result
    result = await client.agents.run('agent-id', RunOptions(
        prompt='Analyze the sales data and provide a summary'
    ))
    
    print(result.output)  # Structured output (if agent has output_schema)
    print(result.result)  # Raw text output
    
    await client.disconnect()

asyncio.run(main())

Features

• Real-time streaming - Get live output as the agent works
• Task control - Cancel long-running tasks at any time
• Structured output - Define schemas for typed responses
• Auto-reconnect - Handles connection drops gracefully
• Async/await - Native Python async support

Usage

Simple: Run and Wait

async with OCAgents(api_key='flt_xxx') as client:
    result = await client.agents.run('agent-id', RunOptions(
        prompt='Analyze this data',
        timeout=300.0,  # 5 minutes max
    ))
    
    if result.output:
        # Structured output (if agent has output_schema)
        print(result.output['summary'])
        print(result.output['confidence'])

Advanced: Stream Events

from oc_agents import OCAgents, SubmitOptions

async def main():
    client = OCAgents(api_key='flt_xxx')
    await client.connect()
    
    task = await client.agents.submit('agent-id', SubmitOptions(
        prompt='Long running analysis task'
    ))
    
    # Listen to real-time events
    task.on('stdout', lambda data: print(data, end=''))
    task.on('tool_start', lambda tool, _: print(f'Using tool: {tool}'))
    task.on('tool_end', lambda tool, _, duration: print(f'{tool} completed in {duration}ms'))
    task.on('status', lambda status: print(f'Status: {status}'))
    
    # Cancel if needed
    # await asyncio.sleep(60)
    # await task.cancel()
    
    # Wait for final result
    try:
        result = await task.result()
        print('Completed:', result.output)
    except TaskCancelledError:
        print('Task was cancelled')
    
    await client.disconnect()

asyncio.run(main())

List Agents

agents = await client.agents.list()
for agent in agents:
    print(f"{agent.name} ({agent.id})")
    print(f"  Type: {agent.type}")
    print(f"  Provider: {agent.provider}")

Context Manager

async with OCAgents(api_key='flt_xxx') as client:
    result = await client.agents.run('agent-id', RunOptions(prompt='Hello'))
    print(result.output)
# Automatically disconnects when done

Error Handling

from oc_agents import (
    OCAgents,
    OCError,
    TaskCancelledError,
    TaskFailedError,
    TaskTimeoutError,
    AuthenticationError,
)

try:
    result = await client.agents.run('agent-id', RunOptions(prompt='...'))
except TaskCancelledError:
    print('Task was cancelled')
except TaskFailedError as e:
    print(f'Task failed: {e.task_error}')
except TaskTimeoutError as e:
    print(f'Task timed out after {e.timeout}s')
except AuthenticationError:
    print('Invalid API key')
except OCError as e:
    print(f'OC Agents error: {e} (code: {e.code})')

Configuration

client = OCAgents(
    api_key='flt_xxx',           # Required: Your API key
    base_url='https://api.opencomputer.dev',  # Optional: API base URL
    timeout=600.0,                # Optional: Default timeout (10 min)
)

API Reference

OCAgents

Main client class.

• __init__(api_key, base_url, timeout) - Create a new client
• connect() - Connect to OC Agents (required before using)
• disconnect() - Disconnect from OC Agents
• is_connected() - Check connection status
• agents - Access agents resource

AgentsResource

Resource for interacting with agents.

• list() - List all agents
• get(agent_id) - Get a specific agent
• run(agent_id, options) - Run a task and wait
• submit(agent_id, options) - Submit a task (non-blocking)

TaskHandle

Handle for managing a submitted task.

• id - Task ID
• agent_id - Agent ID
• on(event, handler) - Listen to events ('stdout', 'stderr', 'tool_start', 'tool_end', 'status')
• cancel() - Cancel the task
• result() - Wait for the result
• get_status() - Get current status
• is_finished() - Check if task is done
• stream() - Iterate over events (sync generator)

Types

• RunOptions - Options for running a task
• SubmitOptions - Options for submitting a task
• TaskResult - Result of a completed task
• Agent - Agent information
• TaskStatus - Task status enum

Requirements

• Python 3.9+
• websockets
• httpx

License

MIT