computer-agents 2.5.0

Official Python SDK for the Computer Agents Agentic Compute Platform API. Build with threads, computers, agents, resources, and databases.

Computer Agents Python SDK

The official Python SDK for the Computer Agents Cloud API. Build against the Agentic Compute Platform with threads, computers, resources, databases, skills, and agents.

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",
    computer_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",
)

Computers

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

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

# Add MCP servers
client.computers.update(
    computer["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(
    computer_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 * * *",
)

Resources

resource = client.resources.create(
    name="crm-web",
    kind="web_app",
    auth_mode="public",
)

client.resources.deploy(resource["id"])
analytics = client.resources.get_analytics(resource["id"])

Databases

database = client.databases.create(name="crm-data")

client.databases.create_collection(database["id"], name="leads")
client.databases.create_document(
    database["id"],
    "leads",
    data={"company": "Acme", "stage": "new"},
)

Skills

skills = client.skills.list()
print([skill["name"] for skill in skills])

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", computer_id="env_xxx")
    print(result.content)
# Client is automatically closed

API Resources

Resource	Description
client.threads	Conversation management with SSE streaming
client.environments / client.computers	Computer configuration and lifecycle
client.agents	Agent configuration (model, instructions, skills)
client.resources	Web apps, functions, auth modules, and runtimes
client.databases	Managed database surfaces
client.skills	Custom ACP skills
client.files	File management in computer 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 computer workspaces

Requirements

• Python >= 3.9
• httpx >= 0.25.0

Contributing

See CONTRIBUTING.md for development setup and guidelines.

License

MIT - see LICENSE for details.