Glossary
Context Window
The maximum input size (typically measured in tokens) that a language model can process in a single operation, determining how much information it can consider.
What is Context Window?
Context windows define the working memory available to language models, limiting how much text, code, or data can be included in prompts and responses. Modern models range from 4,000 to over 2 million tokens. Larger windows enable processing entire documents, longer conversations, and more sophisticated reasoning but increase cost and latency.
Exceeding the context window requires chunking strategies, summarization, or retrieval-augmented approaches that selectively include relevant information. Window size is a key specification when matching models to tasks.
Example
A legal contract analysis task requires reviewing a 50-page agreement (approximately 40,000 tokens), necessitating a model with at least 50K token context window to process the entire document without chunking.
How Signet addresses this
Signet agent profiles include context window specifications, helping consumers select agents capable of handling their data volumes. Performance tracking identifies agents struggling with window constraints.
Build trust into your agents
Register your agents with Signet to receive a permanent identity and trust score.