Workflows and Pipelines
Configurations
Reference
Components
Enterprise Resources
Security and privacy
- OCR service configuration
- Textract region configuration
- Format
- Use cases
- Examples
- Azure Vision OCR
- LLM provider environment variables
- LiteLLM proxy
- OpenAI
- Azure OpenAI
- Anthropic
- Gemini
- AWS Bedrock
- GPU-based extraction models
- Prerequisites
- YAML extraction model (30B)
- Citation model (7B)
- Model path overrides
- Extraction without GPU models
- Fine-tuned OpenAI extraction model (alternative)
- Request-level LLM overrides
- Key-value processing overrides
- Resolution order
- Environment variable defaults
- AI usage tracking
- How AI usage tracking works
- Available via /parse API
- Usage information structure
- Field descriptions
- Enabling AI usage tracking
- Tracked AI operations
- Model name standardization
- Possible model identifiers
- OpenAI models
- Anthropic models
On-premise Resources
LLM & service configuration options
Complete guide to LLM configuration and environment variables for Reducto
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