General
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Getting Started
A step-by-step guide to getting started with Instructor for structured outputs from LLMs
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General
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Frequently Asked Questions
Common questions and answers about using Instructor
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General
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Contribute to Instructor: Evals, Issues, and Pull Requests
Join us in enhancing the Instructor library with evals, report issues, and submit pull requests on GitHub. Collaborate and contribute!
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General
PromptBeginner5 minmarkdown
Debugging Instructor Applications
Learn how to debug Instructor applications with hooks, logging, and exception handling. Practical techniques for inspecting inputs, outputs, and retries.
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General
PromptBeginner5 minmarkdown
Instructor Architecture Overview
Learn about the internal architecture and design decisions of the Instructor library
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General
PromptBeginner5 minmarkdown
API Reference Guide
Explore the comprehensive API reference with details on instructors, validation, iteration, and function calls.
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General
PromptBeginner5 minmarkdown
Documentation Agent Guide
Internal guide for maintaining and improving Instructor documentation
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General
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site
.cache
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General
PromptBeginner5 minmarkdown
**If you're looking to understand the framework, please go to the [DSPy Docs at dspy.ai](https://dspy.ai)**
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General
PromptBeginner5 minmarkdown
site_name: DSPy
site_description: The framework for programming—rather than prompting—language models.
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General
PromptBeginner5 minmarkdown
CrewAI Documentation
Build collaborative AI agents, crews, and flows — production ready from day one.
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General
PromptBeginner5 minmarkdown
openapi: 3.0.3
info:
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General
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openapi: 3.0.3
info:
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General
PromptBeginner5 minmarkdown
openapi: 3.0.3
info:
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General
PromptBeginner5 minmarkdown
openapi: 3.0.3
info:
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General
PromptBeginner5 minmarkdown
build output
dist/
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General
PromptBeginner5 minmarkdown
Documentation
This directory contains the documentation source code for LlamaIndex, available at https://docs.llamaindex.ai.
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General
PromptBeginner5 minmarkdown
LangGraph examples
This directory is retained purely for archival purposes and is no longer updated. The examples previously found here have been moved to the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview). Please refer to the LangChain docs for the most up-to-da
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General
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lockfileVersion: '9.0'
settings:
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General
PromptBeginner5 minmarkdown
<div align="center">
<img height="72" src="https://github.com/user-attachments/assets/45eff178-242f-4d84-863e-247b080cc6f5" />
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General
PromptBeginner5 minmarkdown
Vibe Tools Telemetry
This document describes the telemetry system used by Vibe Tools, covering the infrastructure, data structure, data flow/pipeline, and privacy considerations.
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General
PromptBeginner5 minmarkdown
Feature Behavior Testing with AI Agents
This document outlines our approach to regression testing for vibe-tools using AI agents. We'll create feature behavior files that describe desired behaviors, and AI agents will determine how to test these behaviors using vibe-tools. The agents will generate detailed reports and simple PASS/FAIL res
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General
PromptBeginner5 minmarkdown
vibe-tools Documentation Command Issues and Next Steps
Based on the test report (`tests/reports/feature/openrouter-mcp/doc-command_report_2025-03-12T16-57-15-257Z.md`), the following issues were identified with the `doc` command:
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General
PromptBeginner5 minmarkdown
Feature Behavior Testing Plan for vibe-tools
This document outlines our approach to regression testing for vibe-tools using AI agents. We create feature behavior files that describe desired behaviors, and AI agents determine how to test these behaviors using vibe-tools. The agents generate detailed reports and simple PASS/FAIL results for auto
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