Concepts
Core concepts and patterns in AI coding.
- Agent Harness
The runtime around a model that assembles context, validates and dispatches tool calls, and controls the working loop.
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- AI Agent
Goal-directed systems that combine an LLM, a harness, and tools to iterate on a task under model control.
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- Chat
Structured message lists with system, user, and assistant roles assembled into stateless model requests.
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- LLM
A large language model: a neural network trained to predict the next token over long text sequences. The engine underneath chat apps and agents.
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- Token
The smallest unit of text a language model reads or writes, produced by a tokenizer. Context windows and API pricing are measured in tokens.
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- Tool
A function declared to a model by name, description, and parameter schema, which the model can invoke to read data or act on the world.
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