Prompt Engineering Instructor 提供方

# 提供商配置 关于如何将 Instructor 与不同 LLM 提供商配合使用的指南。 ## Anthropic Claude python import instructor from anthropic import Anthropic # 基础设置 client = instructor.from_anthropic(Anthropic()) # 使用 API 密钥 client = instructor.from_anthropic( Anthropic(api_key="your-api-key") ) # 推荐模式 client = instructor.from_anthropic( Anthropic(), mode=instructor.Mode.ANTHROPIC_TOOLS ) # 使用 result = client.messages.create( model="claude-sonnet-4-5-20250929", max_tokens=1024, messages=[{"role": "user", "content": "..."}], response_model=YourModel ) ## OpenAI python from openai import OpenAI client = instructor.from_openai(OpenAI()) result = client.chat.completions.create( model="gpt-4o-mini", response_model=YourModel, messages=[{"role": "user", "content": "..."}] ) ## 本地模型 (Ollama) python client = instructor.from_openai( OpenAI( base_url="http://localhost:11434/v1", api_key="ollama" ), mode=instructor.Mode.JSON ) result = client.chat.completions.create( model="llama3.1", response_model=YourModel, messages=[...] ) ## 模式 - `Mode.ANTHROPIC_TOOLS`: Claude 推荐模式 - `Mode.TOOLS`: OpenAI 函数调用 - `Mode.JSON`: 不支持工具调用的提供商的后备方案