lmeterx-llm-loadtest

name: lmeterx-llm-loadtest emoji: "\U0001F916" description: | LMeterX LLM API Load Test tool. When a user provides an LLM API endpoint URL (ending with /v1/chat/completions or /v1/messages) or a curl command targeting an LLM API, this skill executes a script to pre-check connectivity and create a load testing task. Supports OpenAI-compatible and Claude-compatible APIs. triggers:

• 压测这个LLM API
• 压测这个大模型接口
• 压测这个模型API
• 帮我压测 OpenAI
• 帮我压测 Claude API
• 压测 chat completions
• 压测 messages 接口
• load test this LLM API
• load test OpenAI endpoint
• stress test this model API
• 压测这个AI接口 requires: env:
  • LMETERX_BASE_URL

Skill: lmeterx-llm-loadtest

Intent Routing Rules (Highest Priority)

When to USE this Skill

• URL ends with /v1/chat/completions (OpenAI-compatible)
• URL ends with /v1/messages (Claude/Anthropic-compatible)
• User mentions "LLM", "大模型", "模型接口", "OpenAI", "Claude", "chat completions"
• curl command body contains "model" and "messages" fields

When NOT to use this Skill

Quick Decision Rule

URL ends with /v1/chat/completions or /v1/messages → THIS SKILL
URL is a normal webpage                            → lmeterx-web-loadtest
Everything else (REST API, GraphQL, etc.)          → lmeterx-http-loadtest

Execution Rules

1. Mandatory: You must and may only execute the provided script via Bash.
2. Prohibition: Do NOT manually construct HTTP requests using curl or requests to call LMeterX APIs.
3. Prohibition: Do NOT fabricate results. Execute the script and respond based on actual stdout output.

The Only Correct Way to Execute

With URL:

export LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"
python "${SKILL_DIR}/scripts/run.py" \
  --url "<LLM API URL>" \
  --header "Authorization: Bearer <api-key>"

With curl command:

export LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"
python "${SKILL_DIR}/scripts/run.py" \
  --curl '<full curl command>'

With custom load parameters:

export LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"
python "${SKILL_DIR}/scripts/run.py" \
  --url "<LLM API URL>" \
  --header "Authorization: Bearer <api-key>" \
  --body '{"model":"gpt-4","messages":[{"role":"user","content":"Hello"}]}' \
  --concurrent-users 50 \
  --duration 300 \
  --spawn-rate 30

Parameters

Presenting Results to the User

After execution, present:

1. API Type: OpenAI Chat or Claude Chat
2. Pre-check Result: Pass/Fail with categorized failure reason
3. Task ID and Report URL: {LMETERX_BASE_URL}/results/{task_id}

Exception Handling