computer-agents 2.2.0

Official Python SDK for the Computer Agents Cloud API. Execute Claude-powered AI agents in isolated cloud containers.

Computer Agents Python SDK

The official Python SDK for the Computer Agents Cloud API. Execute Claude-powered AI agents in isolated cloud containers.

Installation

pip install computer-agents

Quick Start

from computer_agents import ComputerAgentsClient

client = ComputerAgentsClient(api_key="ca_your_api_key")

# Execute a task
result = client.run(
    "Create a REST API with Flask",
    environment_id="env_xxx",
    on_event=lambda e: print(e["type"]),
)

print(result.content)
print(f"Thread ID: {result.thread_id}")

Multi-Turn Conversations

# Create a thread for persistent conversation
thread = client.threads.create(environment_id="env_xxx")

# First message
result = client.threads.send_message(
    thread["id"],
    content="Create a Python web server",
    on_event=lambda e: print(e),
)

# Follow-up (continues same session)
result2 = client.threads.send_message(
    thread["id"],
    content="Add authentication to the server",
)

Environments

# Create a custom environment
env = client.environments.create(
    name="data-science",
    internet_access=True,
    runtimes={"python": "3.12"},
)

# Install packages
client.environments.install_packages(env["id"], "python", ["pandas", "numpy"])

# Add MCP servers
client.environments.update(
    env["id"],
    mcp_servers=[{
        "type": "stdio",
        "name": "filesystem",
        "command": "npx",
        "args": ["@modelcontextprotocol/server-filesystem", "/workspace"],
    }],
)

Agents

# Create a custom agent
agent = client.agents.create(
    name="Code Reviewer",
    model="claude-sonnet-4-5",
    instructions="You are a thorough code reviewer.",
    enabled_skills=["web_search"],
)

# Use the agent
thread = client.threads.create(
    environment_id="env_xxx",
    agent_id=agent["id"],
)

Files

# Upload a file
client.files.upload_file(
    "env_xxx",
    filename="app.py",
    content='print("hello")',
    path="src",
)

# Download a file
content = client.files.get_file("env_xxx", "src/app.py")

# List files
files = client.files.list_files("env_xxx")

Git Operations

diff = client.git.diff("env_xxx")
client.git.commit("env_xxx", message="Update feature")
client.git.push("env_xxx")

Schedules

schedule = client.schedules.create(
    name="Daily Report",
    agent_id="agent_xxx",
    agent_name="Reporter",
    task="Generate daily report",
    schedule_type="recurring",
    cron_expression="0 9 * * *",
)

Configuration

The API key can be provided via:

1. Constructor argument: ComputerAgentsClient(api_key="ca_...")
2. Environment variable: COMPUTER_AGENTS_API_KEY

# Custom base URL and timeout
client = ComputerAgentsClient(
    api_key="ca_...",
    base_url="https://custom-api.example.com",
    timeout=120.0,
    debug=True,
)

Context Manager

with ComputerAgentsClient(api_key="ca_...") as client:
    result = client.run("Hello world", environment_id="env_xxx")
    print(result.content)
# Client is automatically closed

API Resources

Resource	Description
client.threads	Conversation management with SSE streaming
client.environments	Environment configuration and container lifecycle
client.agents	Agent configuration (model, instructions, skills)
client.files	File management in environment workspaces
client.schedules	Scheduled task management
client.triggers	Event-driven triggers
client.orchestrations	Agent-to-agent orchestration
client.budget	Budget and usage tracking
client.billing	Billing records and statistics
client.git	Git operations on workspaces

Requirements

• Python >= 3.9
• httpx >= 0.25.0

License

MIT