Bundle
xby-mm1-simulation
一个用于M/M/1和M/M/c队列系统模拟和分析的Model Context Protocol服务器,提供全面的资源、工具和提示。
- Source
- xby-skill
- License
- MIT
- Updated
- Updated 2 days ago
Readme
# xby-mm1-simulation
DeepSeek Harness (DSH) 的插件:队列模拟服务
一个用于M/M/1和M/M/c队列系统模拟和分析的Model Context Protocol服务器,提供全面的资源、工具和提示。
## 功能
- **set_xby_apikey** — 在聊天中设置 API 密钥(自动持久化,重启有效)
- **validate_config** — Validate M/M/1 configuration parameters
Checks parameter validity and system stability condition.
Args:
arrival_rate: Customer arrival rate (λ)
service_rate: Service rate (μ)
simulation_time: Simulation duration
Returns:
Dictionary with validation result:
- valid: bool
- errors: List[str] (if any)
- warnings: List[str] (if any)
- utilization: float (if valid)
- **calculate_metrics** — Calculate theoretical M/M/1 performance metrics
Uses exact formulas to compute steady-state performance.
Args:
arrival_rate: λ (customers per time unit)
service_rate: μ (customers per time unit)
Returns:
Dictionary of theoretical metrics:
- utilization: ρ = λ/μ
- avg_queue_length: L_q = ρ²/(1-ρ)
- avg_num_in_system: L = ρ/(1-ρ)
- avg_waiting_time: W_q
- avg_system_time: W
Raises:
ValueError: If system is unstable (λ >= μ)
- **run_simulation** — Run M/M/1 queue simulation using SimPy
Executes discrete event simulation and returns performance metrics.
Args:
arrival_rate: λ (customers per time unit)
service_rate: μ (customers per time unit)
simulation_time: Duration of simulation
random_seed: Random seed for reproducibility
Returns:
Dictionary with:
- simulation_metrics: Dict of simulated values
- theoretical_metrics: Dict of exact values
- comparison: Comparison analysis
- config: Simulation configuration used
- **compare_results** — Compare simulation results with theoretical values
Analyzes accuracy of simulation by comparing against exact formulas.
Args:
simulation_metrics: Dictionary of simulated performance metrics
arrival_rate: λ used in simulation
service_rate: μ used in simulation
Returns:
Comparison analysis with:
- comparisons: Per-metric comparison
- mean_abs_error_pct: Average error
- max_error_pct: Maximum error
- within_10pct: bool
- accuracy_grade: Quality assessment
- **recommend_parameters** — Recommend simulation parameters for target utilization
Suggests appropriate arrival rate, service rate, and simulation time
for a given target utilization level.
Args:
target_utilization: Desired ρ (default: 0.7)
service_rate: Fixed μ (if None, suggests μ=10)
min_customers: Minimum customers to simulate
Returns:
Recommended parameters and expected metrics
## 安装
### 方式一:从 GitHub 直接安装(推荐)
```bash
# 格式: dsh plugin --profile <profile> add github:<owner>/<repo>
dsh plugin --profile web add github:xby_skill/xby-mm1-simulation
```
### 方式二:从本地目录安装(开发模式)
```bash
# 仅用于本地开发调试
dsh plugin --profile web add /absolute/path/to/xby-mm1-simulation
```
### 方式三:通过 cordis.patch.yml 开发调试
```bash
dsh web --profile web --patch /absolute/path/to/dsh-ocr-plugin/cordis.patch.yml
```
## 配置
### 获取 API 密钥
前往 [小笨羊官网](https://xiaobenyang.com) 注册并获取 API 密钥。
Install
dsh plugin --profile web add github:xby-skill/xby-mm1-simulation
Profile: web
With the hub plugin installed, ask your agent to install it by name — it resolves the same plan shown here.
dsh plugin --profile web add github:stvlynn/dsh.fish#path:packages/dsh-plugin-hub
install xby-mm1-simulation from the hub
- This package builds from source on install. pnpm will ask you to allow its build script — that is permission to run the package’s code on your machine, outside the agent sandbox. Only allow sources you trust.
- This source has no pinned commit, so a later push upstream changes what installs. Prefer pinning a commit.