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service-registry

以注册表模式集中管理多个外部服务:用 ServiceConfig 配置服务命令、认证环境变量、配额与模型,通过统一接口执行并返回 ExecutionResult,支持健康检查、服务选择与故障转移。附带 Python 示例及配置、执行模式模块文档。

athola
athola
热度 61.58
最近更新 2026-08-26 21:17:09
分类:自动化依赖:代码执行 / 第三方 API应用场景:API 集成 / 工作流 / DevOps

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add nm-leyline-service-registry
Metadata
name
service-registry
description
Registers external services with health checks, central config, and unified execution
version
1.9.8
triggers
["services","registry","execution","health-checks","integration","integrating multiple external services needing coordination"]
metadata
{"openclaw":{"homepage":"https://github.com/athola/claude-night-market/tree/master/plugins/leyline","emoji":"🦞","requires":{"config":["night-market.quota-management","night-market.usage-logging"]}}}
source
claude-night-market
source_plugin
leyline

Night Market Skill — ported from claude-night-market/leyline. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

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.