llm-batch-annotate

llm-batch-annotate is a Python package and CLI for batch-oriented LLM annotation workflows over tabular datasets. It provides a typed configuration model, batching and grouping helpers, OpenAI Batch execution support, local artifact storage, and resumable orchestration.

Contents

• Overview
  • What the package does
  • Core concepts
  • Intended use cases
• Installation
  • Runtime install
  • Python version
  • Credentials
• Quickstart
  • Single-item example
  • Grouped example
  • Artifacts to inspect
• CLI
  • Commands
  • Polling options
  • Progress output
  • Exit codes
  • Path resolution
• Config Reference
  • Top-level shape
  • Component references
  • Important sections
  • Parsed Responses Artifact
• OpenAI Batch Provider
  • Current defaults
  • API key resolution
  • Structured outputs
  • Resume flow
  • Failure modes
• Examples
  • Single example
  • Grouped example
  • Artifact layout
  • What to inspect first
• Architecture
  • Data flow
  • Main modules
  • Design goals
• API Reference
  • Top-level package
  • Configuration models
  • Base contracts
  • Artifact store
  • OpenAI Batch provider
  • Manifest models
  • Orchestration
• Releases
  • v0.1.2
• Development and Release
  • Local development
  • GitHub Actions
  • One-time external setup
  • Release flow
  • Documentation source of truth