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Persisting AI model parameters within specific document properties.
Distinct from Model Configuration Settings: Distinct from general Model Configuration Settings: focuses on the persistence of these settings within the editor buffer properties.
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gptel is an LLM Emacs client and multi-backend AI integration system that allows users to interact with large language models directly inside the Emacs text editor. It serves as an AI-powered text refactoring tool and a context-aware prompt manager, providing a unified interface to connect with various AI providers, including local Ollama instances, AWS Bedrock, and Gemini. The project distinguishes itself as a Model Context Protocol client, connecting to MCP servers to provide language models with external tools and data sources. It enables context-augmented prompting by aggregating text fro
Saves and restores model configurations and temperature settings directly within document properties.