Instructor:声明 Pydantic BaseModel 即可从 20 个 LLM provider 拿到类型化实例。核心是 monkey-patch(instructor.patch / from_*)拦截 create(),注入 schema-aware kwargs,tenacity 重试 + Instructor: declare a Pydantic BaseModel and receive a typed instance back from any of 20 LLM providers. Core mechanism is a monkey-patch (instructor.patch / from_*) that intercepts create(), injects schema-aware kwargs, runs the call inside a tenacity retry loop, and rewrites fa
Scanned 9/9/2026
Install to Claude Code
npx -y skills add Lord1Egypt/awesome-skill-forge --skill instructor-structured-output --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: instructor-structured-output
description: |-
Instructor:声明 Pydantic BaseModel 即可从 20 个 LLM provider 拿到类型化实例。核心是 monkey-patch(instructor.patch / from_*)拦截 create(),注入 schema-aware kwargs,tenacity 重试 +
Instructor: declare a Pydantic BaseModel and receive a typed instance back from any of 20 LLM providers. Core mechanism is a monkey-patch (instructor.patch / from_*) that intercepts create(), injects schema-aware kwargs, runs the call inside a tenacity retry loop, and rewrites fa
license: MIT-0
compatibility: AI engineering knowledge skill — host AI consumes seed.yaml directly. No installation required.
metadata:
version: "v0.1.0"
blueprint_id: "finance-bp-139"
blueprint_source: "jxnl/instructor"
blueprint_commit: "3f1d6ddb084b8a0da3eb0665051293d381383b41"
category: ai-engineering
doramagic_url: "https://doramagic.ai/zh/crystal/instructor-structured-output"
openclaw:
skillKey: instructor-structured-output
category: ai-engineering
primaryEnv: knowledge
---
# 这个 skill 适合什么用户?能做哪些任务?
## 概览
Instructor 是把 Pydantic BaseModel 直接绑到 LLM 输出的 Python 框架(github.com/jxnl/instructor)。核心机制:monkey-patch(instructor.patch / instructor.from_*)拦截 provider client 的 create() 调用,注入 schema-aware kwargs,在 tenacity 重试循环里跑,验证 JSON 响应到模型,ValidationError 时把 failed_attempts 作为 XML 重写 prompt 再试。
支持 20 个 provider...
**Doramagic 晶体页**: https://doramagic.ai/zh/crystal/instructor-structured-output
## 知识规模
- **47 条约束** (4 fatal + 43 non-fatal)
- 上游源码: `jxnl/instructor` @ commit `3f1d6ddb`
- 蓝图 ID: `finance-bp-139`
## 用法
Host AI(Claude Code / Cursor / OpenClaw)读 `references/seed.yaml`,按其中的:
- `intent_router` 匹配用户意图
- `architecture` 理解项目架构
- `constraints` 应用 anti-pattern 约束
- `business_decisions` 参考核心设计决策
## FAQ 摘要
### 这个 skill 适合什么用户?能做哪些任务?
适合需要从 LLM 拿到强类型结构化输出的工程师:信息抽取、表单解析、JSON API 直接返回 Pydantic 模型、agent 工具调用参数解析等。20 个 provider 一致 API。访问 doramagic.ai/r/instructor 查看完整用例。
### 需要准备什么环境?依赖什么?
Python 3.9+(instructor 在 pyproject 中声明 >=3.9)。Pydantic v2 事实上必须(function_calls.py 用 model_validate_json + TypeAdapter,都是 v2-only,v1 在 Partial 路径上 AttributeError)。
### 会踩哪些坑?这个 skill 怎么防护?
本 skill 内置 47 条约束(4 条 fatal)。典型踩坑:(1) failed_attempts XML 每次重试线性增长,max_retries=5 可超 context window;(2) from_openai 的 mode 验证用 assert,python -O 下静默剥离;
---
完整文档: 见 `references/seed.yaml` (v6.1 schema). 浏览页: https://doramagic.ai/zh/crystal/instructor-structured-output
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