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service-registry

npx machina-cli add skill athola/claude-night-market/service-registry --openclaw
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Table of Contents

Service Registry

Overview

A registry pattern for managing connections to external services. Handles configuration, health checking, and execution across multiple service integrations.

When To Use

  • Managing multiple external services.
  • Need consistent execution interface.
  • Want health monitoring across services.
  • Building service failover logic.

When NOT To Use

  • Single service integration without registry needs

Core Concepts

Service Configuration

@dataclass
class ServiceConfig:
    name: str
    command: str
    auth_method: str  # "api_key", "oauth", "token"
    auth_env_var: str
    quota_limits: dict
    models: list[str] = field(default_factory=list)

Verification: Run the command with --help flag to verify availability.

Execution Result

@dataclass
class ExecutionResult:
    success: bool
    stdout: str
    stderr: str
    exit_code: int
    duration: float
    tokens_used: int

Verification: Run the command with --help flag to verify availability.

Quick Start

Register Services

from leyline.service_registry import ServiceRegistry

registry = ServiceRegistry()

registry.register("gemini", ServiceConfig(
    name="gemini",
    command="gemini",
    auth_method="api_key",
    auth_env_var="GEMINI_API_KEY",
    quota_limits={"rpm": 60, "daily": 1000}
))

Verification: Run the command with --help flag to verify availability.

Execute via Service

result = registry.execute(
    service="gemini",
    prompt="Analyze this code",
    files=["src/main.py"],
    model="gemini-2.5-pro"
)

if result.success:
    print(result.stdout)

Verification: Run the command with --help flag to verify availability.

Health Checks

# Check single service
status = registry.health_check("gemini")

# Check all services
all_status = registry.health_check_all()
for service, healthy in all_status.items():
    print(f"{service}: {'OK' if healthy else 'FAILED'}")

Verification: Run the command with --help flag to verify availability.

Service Selection

Auto-Selection

# Select best service for task
service = registry.select_service(
    requirements={
        "large_context": True,
        "fast_response": False
    }
)

Verification: Run the command with --help flag to verify availability.

Failover Pattern

def execute_with_failover(prompt: str, files: list) -> ExecutionResult:
    for service in registry.get_healthy_services():
        result = registry.execute(service, prompt, files)
        if result.success:
            return result
    raise AllServicesFailedError()

Verification: Run the command with --help flag to verify availability.

Integration Pattern

# In your skill's frontmatter
dependencies: [leyline:service-registry]

Verification: Run the command with --help flag to verify availability.

Detailed Resources

  • Service Config: See modules/service-config.md for configuration options.
  • Execution Patterns: See modules/execution-patterns.md for advanced usage.

Exit Criteria

  • Services registered with configuration.
  • Health checks passing.
  • Execution results properly handled.

Troubleshooting

Common Issues

Command not found Ensure all dependencies are installed and in PATH

Permission errors Check file permissions and run with appropriate privileges

Unexpected behavior Enable verbose logging with --verbose flag

Source

git clone https://github.com/athola/claude-night-market/blob/master/plugins/leyline/skills/service-registry/SKILL.mdView on GitHub

Overview

A registry pattern for managing connections to multiple external services. It centralizes service configuration, health monitoring, and unified execution, enabling consistent interfaces and robust failover across integrations.

How This Skill Works

Define a ServiceConfig for each external service, including name, command, auth_method, quota_limits, and optional models. The ServiceRegistry stores these configurations, exposes execute, health_check, and select_service, and delegates actual work to the service-executor.

When to Use It

  • Managing and coordinating calls to multiple external services with a single interface
  • Needing a consistent execution pattern across different service integrations
  • Implementing health monitoring and status checks for all services
  • Building failover and automatic service selection to improve reliability
  • Centralizing configuration management for services and quotas

Quick Start

  1. Step 1: Register services with ServiceRegistry, specifying name, command, auth_method, and quotas
  2. Step 2: Execute tasks via registry.execute(service, ...), and inspect result.stdout or result.stderr
  3. Step 3: Run registry.health_check and registry.health_check_all to validate availability and monitor health

Best Practices

  • Define clear quotas and auth_method per service
  • Keep service configs versionable and include models if needed
  • Leverage health_check and health_check_all for proactive monitoring
  • Use unified-execution patterns to ensure consistent results
  • Test failover scenarios and auto-selection in staging

Example Use Cases

  • Orchestrating API calls to payment, identity, and analytics services via a single registry
  • Enforcing per-service quotas and rate limits across a multi-service backend
  • Health-check enabled routing to healthy services only
  • Automatic failover between competing providers for high availability
  • Centralized configuration for service endpoints in a microservices platform

Frequently Asked Questions

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