LLMWorkbook

Code Examples

This section contains practical examples demonstrating how to use LLMWorkbook with different providers and data formats.

Provider Examples

LLM Providers

• OpenAI Example - Basic OpenAI GPT integration
• Anthropic Example - Claude integration
• Ollama Example - Local Ollama deployment
• GPT4All Example - Local GPT4All usage

Advanced OpenAI Features

• Response Format - Structured output formatting
• JSON Response Unpacked - JSON parsing utilities

Data Format Examples

Data Sources

• DataFrames - Working with pandas DataFrames
• Excel - Excel workbook processing
• Arrays - Multi-dimensional array handling

Processing Examples

Workflow Patterns

• Batch Processing - Efficient batch operations
• PromptSeries - Sequential prompt execution

Utilities

• Sanitize Prompts - Input cleaning and validation

Quick Start

Most examples follow this pattern:

from llmworkbook import LLMConfig, LLMRunner, LLMDataFrameIntegrator

# 1. Configure provider
config = LLMConfig(provider="openai", ...)

# 2. Create runner
runner = LLMRunner(config)

# 3. Process data
integrator = LLMDataFrameIntegrator(runner=runner, df=df)
result = integrator.add_llm_responses(...)

Browse the individual files above to see complete, runnable examples for your specific use case.

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