AI Context Window Planner
Select a model, allocate tokens across your system prompt, few-shot examples, RAG documents, conversation history, and output reserve. See exactly how much room you have left — before you hit the wall.
- Always reserve at least 10% for output — a model that runs out of output tokens mid-sentence wastes the entire request cost.
- System prompts rarely need more than 2,000 tokens. If yours is larger, consider moving static instructions into a retrievable document.
- For RAG, chunk documents to 500-1,000 tokens each. Retrieve 3-5 relevant chunks rather than stuffing the full document.
- Conversation history fills fast in multi-turn chats. Implement a sliding window or summarize older turns to stay within budget.
- Few-shot examples are powerful but expensive. Two high-quality examples usually outperform five mediocre ones at half the token cost.
- Larger context windows cost more per token on some models. A 200K window at 80% usage is 8x the cost of a 200K window at 10% — only fill what you need.
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ABUZ8 OS runs AI models on your own hardware. No context window rental fees, no per-token billing, no data leaving your machine. Ship with sovereignty.
What is a context window in AI models?
A context window is the maximum number of tokens a language model can process in one request. Everything — system prompt, examples, retrieved documents, conversation, and the output — must fit inside it. Exceed it and the API errors or silently truncates your input.
How should I allocate tokens across my context window?
A starting point: 10-15% for system prompt, 5-10% for few-shot, 30-50% for RAG, 15-25% for conversation history, and 10-15% for output reserve. Adjust based on whether your app is chat-heavy or document-heavy.
What happens when I exceed the context window?
Most providers return an error. Some older models silently truncate from the start. Either way, you lose critical context. This tool flags yellow at 80% and red at 95%.
How do I estimate token count for my text?
For English: roughly 1.3 tokens per word, or about 4 characters per token. Code runs closer to 1.5-2 tokens per word. A 1,000-word system prompt is about 1,300 tokens.
Is my data sent to a server?
No. Everything runs in your browser. Nothing is uploaded, logged, or stored.