ryora-atlas-sdk 1.2.0

Atlas SDK for Python - Client library for Atlas Control Plane

Atlas SDK for Python

The official Python client library for the Atlas Control Plane API. This SDK enables AI agents to self-report their existence, configuration, and health to the Atlas Control Plane.

Installation

pip install ryora-atlas-sdk

Quickstart

Synchronous Client

from atlas_sdk import ControlPlaneClient, AgentConfiguration

# Create client (reads ATLAS_API_URL and ATLAS_API_KEY from environment)
client = ControlPlaneClient()

# Register your agent
client.register(
    name="my-agent",
    owner="[e-mail]",
    configuration=AgentConfiguration(
        model_provider="anthropic",
        model_name="claude-sonnet-4-20250514",
        tools=["file_read", "file_write"],
    ),
)

# Heartbeats are sent automatically in the background
# Do your agent work here...

# Deregister when done
client.deregister()

Using Context Manager

The recommended way to use the client is with a context manager, which ensures proper cleanup:

from atlas_sdk import ControlPlaneClient, AgentConfiguration

with ControlPlaneClient() as client:
    client.register(
        name="my-agent",
        owner="[e-mail]",
        configuration=AgentConfiguration(
            model_provider="anthropic",
            model_name="claude-sonnet-4-20250514",
            tools=["file_read"],
        ),
    )
    # Do work...
# Automatic deregistration on exit

Asynchronous Client

import asyncio
from atlas_sdk import AsyncControlPlaneClient, AgentConfiguration

async def main():
    async with AsyncControlPlaneClient() as client:
        await client.register(
            name="my-async-agent",
            owner="[e-mail]",
            configuration=AgentConfiguration(
                model_provider="anthropic",
                model_name="claude-sonnet-4-20250514",
                tools=["web_search"],
            ),
        )
        # Do async work...

asyncio.run(main())

Configuration

Environment Variables

Variable	Description	Default
ATLAS_API_URL	Control Plane API base URL	(required)
ATLAS_API_KEY	API key for authentication	(required)
ATLAS_ENVIRONMENT	Deployment environment (local, staging, production)	Auto-detected
ATLAS_DISABLED	Disable SDK entirely (true/1/yes)	false
ATLAS_SKIP_CONTEXT_DETECTION	Skip context auto-detection (true/1/yes)	false

Client Options

client = ControlPlaneClient(
    base_url="https://api.atlas.example.com",  # Override ATLAS_API_URL
    api_key="your-api-key",                     # Override ATLAS_API_KEY
    timeout=30.0,                               # Request timeout in seconds
    fail_silently=True,                         # Log errors instead of raising (default: True)
    auto_detect_context=True,                   # Auto-detect deployment context (default: True)
    auto_heartbeat=True,                        # Enable background heartbeats (default: True)
    heartbeat_interval_seconds=300,             # Heartbeat interval (default: 5 minutes)
    max_retries=3,                              # Max retry attempts for transient errors
)

Deployment Context

The SDK automatically detects deployment context including:

• hostname: Via socket.gethostname()
• environment: Via ATLAS_ENVIRONMENT env var or hostname inference
• has_internet_access: Via connectivity check
• has_filesystem_access: Via container/sandbox detection

You can also provide explicit context:

from atlas_sdk import ControlPlaneClient, AgentConfiguration, DeploymentContext, ResourceLimits

client.register(
    name="my-agent",
    owner="[e-mail]",
    configuration=AgentConfiguration(
        model_provider="anthropic",
        model_name="claude-sonnet-4-20250514",
        tools=["file_read"],
    ),
    deployment_context=DeploymentContext(
        hostname="prod-server-01",
        environment="production",
        has_internet_access=True,
        has_filesystem_access=False,
        resource_limits=ResourceLimits(
            max_memory_mb=4096,
            max_cpu_cores=2,
        ),
    ),
)

Manual Heartbeats

While heartbeats are sent automatically, you can send manual heartbeats with custom status and metrics:

from atlas_sdk import HeartbeatStatus

# Send a heartbeat with custom status
client.heartbeat(
    status=HeartbeatStatus.DEGRADED,
    metrics={
        "requests_processed": 1500,
        "error_rate": 0.02,
        "memory_usage_mb": 512,
    },
)

Updating Configuration

Update your agent's configuration after registration:

from atlas_sdk import AgentConfiguration

client.update_configuration(
    configuration=AgentConfiguration(
        model_provider="anthropic",
        model_name="claude-opus-4-20250514",  # Upgraded model
        tools=["file_read", "file_write", "shell"],
    ),
)

Error Handling

The SDK provides a comprehensive exception hierarchy:

from atlas_sdk import (
    AtlasError,              # Base exception for all SDK errors
    AtlasConnectionError,    # Network/connection errors (retryable)
    AuthenticationError,     # 401 - Invalid API key
    AuthorizationError,      # 403 - Insufficient permissions
    AtlasValidationError,    # 422 - Invalid request data
    RateLimitError,          # 429 - Rate limited (retryable)
    AgentNotFoundError,      # 404 - Agent not registered
    DuplicateAgentError,     # 409 - Agent ID conflict
)

try:
    client.register(...)
except AuthenticationError:
    print("Invalid API key")
except RateLimitError as e:
    print(f"Rate limited, retry after {e.retry_after} seconds")
except AtlasError as e:
    print(f"Atlas error: {e}")

Fail-Safe Mode

By default, the SDK operates in fail-safe mode (fail_silently=True), which means:

• Errors are logged but don't crash your agent
• Methods return None on failure
• Your agent continues operating even if the Control Plane is unreachable

To receive exceptions instead:

client = ControlPlaneClient(fail_silently=False)

Retry Behavior

The SDK automatically retries transient errors with exponential backoff:

• Connection errors
• Rate limit errors (429)
• Server errors (5xx)

Non-retryable errors (4xx except 429) fail immediately.

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=atlas_sdk --cov-report=term-missing

# Type checking
mypy src/

# Linting
ruff check src/ tests/
ruff format src/ tests/

License

Proprietary - Atlas Team