What is Instructor?
If you’ve ever struggled to extract consistent, structured outputs from large language models (LLMs), Instructor is here to make your life easier. As the most popular Python library for managing structured LLM outputs, Instructor simplifies validation, retries, and streaming responses with a clean, intuitive API. Whether you’re extracting user data, parsing complex responses, or integrating with multiple LLM providers, Instructor ensures your workflows are efficient and reliable.
Key Features:
🚀 Response Models: Define the structure of your LLM outputs using Pydantic models. This ensures your data always adheres to the format you need.
Benefit: No more parsing unstructured text—get clean, validated data every time.
🔄 Retry Management: Configure the number of retry attempts for your requests with just a few lines of code.
Benefit: Handle transient errors gracefully without manual intervention.
✅ Validation: Use Pydantic validation to confirm LLM responses meet your expectations.
Benefit: Eliminate unexpected errors and maintain data integrity.
📥 Streaming Support: Work with lists and partial responses effortlessly, even for large datasets.
Benefit: Process data incrementally, saving time and memory.
🔗 Flexible Backends: Seamlessly integrate with OpenAI, Anthropic, Cohere, Gemini, and more.
Benefit: Adapt to your preferred LLM provider without rewriting your code.
🌍 Multilingual Support: Works with Python, TypeScript, Ruby, Go, and Elixir.
Benefit: Use Instructor across your tech stack, regardless of your language preference.
Use Cases:
Data Extraction: Extract structured user information (e.g., name, age) from unstructured text for use in applications like customer support or analytics.
Content Moderation: Validate and filter LLM-generated content to ensure it meets your guidelines.
Streaming Responses: Process large datasets incrementally, such as summarizing long documents or extracting key insights in real time.
Conclusion:
Instructor is the community’s top choice for simplifying structured LLM outputs. With features like response models, retry management, and flexible backends, it’s designed to make your workflows faster, more reliable, and easier to manage. Get started in minutes and see why over 1 million developers rely on Instructor every month.
More information on Instructor
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Instructor was manually vetted by our editorial team and was first featured on 2025-02-11.
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