AI 智能体
llm-eval
更新于 2026-10-22
LLM Evaluation 工程规则
Eval rules: versioned prompt datasets and regression gates in CI
- 技术栈
- LLM Evaluation
- 主题
- 工程基线
- 条目
- 9 条
- 版本
- v0.2.0
✓ 应当这么做
- ✓ Write tests against user-visible behaviour, not private implementation details
- ✓ Mock at network or process boundaries rather than inside your own modules
- ✓ Keep every test independent and deterministic
✕ 常见反模式
- ✕ Brittle spies on internal call sequences
- ✕ Shared mutable fixtures across concurrent suites
- ✕ Sleeping for fixed durations to wait on async work
◎ 交付前验证
- ◎ Suite passes in random order and with concurrency enabled
- ◎ Coverage on the changed module did not drop
- ◎ Flaky tests reported rather than retried silently
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Vector search rules: chunking strategy, recall evaluation and index rebuild path
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Feature Store 工程规则
Feature store rules: point-in-time correctness and train/serve parity
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Agent Skill Design 工程规则
Skill design rules: narrow triggers, explicit boundaries and verifiable outputs
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Agent Tool Calls 工程规则
Tool-call rules: server-side authorisation and deny-by-default allow-lists
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Agent Memory 工程规则
Memory rules: scoped retrieval, expiry and user-visible deletion
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RAG Retrieval 工程规则
RAG rules: citation-grade retrieval and evaluated recall before shipping