A rule-based review separates instruction components and calls no remote model.
48
AI tools
Token / Context Budget Planner
Calculates an approximate sectioned token budget for a chosen context limit and surfaces overflow risk. Model tokenizers, hidden system additions, and provider reserves can change actual usage; values are planning estimates.
✓ Free✓ No account✓ In-browser
QUICK ANSWER
What does this tool do?
Allocate a context window across system instructions, history, sources, user input, output, and safety margin.
Result
- Limit
- 128,000
- System
- 3,000
- History
- 24,000
- Sources
- 50,000
- User input
- 4,000
- Output allocation
- 8,000
- Safety reserve
- 12,800 (10%)
- Status
- Within budget
- Remaining
- 26,200
CONTEXT BUDGET The actual tokenizer, provider system additions, and tool calls can consume more tokens.
Operation completed
Within budget
APPLICATION AND DECISION GUIDE
Token / Context Budget Planner: method and usage
Calculates an approximate sectioned token budget for a chosen context limit and surfaces overflow risk. Model tokenizers, hidden system additions, and provider reserves can change actual usage; values are planning estimates.
an instruction with an explicit goal, audience, context, constraints, and expected output format Confirm the shape first with a small example containing no personal data.
an editable prompt draft, coverage metrics, and explicit improvement actions
Practical steps
- Enter the model context limit and expected output allocation.
- Add estimates for system, history, sources, and user input.
- Review remaining reserve and verify with the actual tokenizer.
model testing with representative normal, missing-context, conflicting, sensitive-data, and prompt-injection cases
The tool calls no remote model and neither generates nor verifies model output.
Suitable use cases
- RAG context allocation
- Long-conversation budgeting
- Output share and safety reserve
LEARN THE WORKFLOW
Guides for this tool
Token and Context Budgets: A Practical System-Prompt Checklist
Turn system instructions, history, sources, user input, output, and safety margin into a measurable context plan.
Read guide →Browser-Only Agentic AI: Designing Safe Tool Orchestration
Combine semantic search, multi-step plans, visible rationale, error translation, and on-device voice without uploading data.
Read guide →ABOUT THIS TOOL
Frequently asked questions
What input does Token / Context Budget Planner accept?+
an instruction with an explicit goal, audience, context, constraints, and expected output format Enter the model context limit and expected output allocation.
What does Token / Context Budget Planner return?+
an editable prompt draft, coverage metrics, and explicit improvement actions A rule-based review separates instruction components and calls no remote model.
How should I validate Token / Context Budget Planner output?+
model testing with representative normal, missing-context, conflicting, sensitive-data, and prompt-injection cases
Does Token / Context Budget Planner send or store input on a server?+
Tool input is processed in the active tab. Saving to the Workstation or transferring to another tool is a separate choice. Consider browser extensions and shared devices separately; the privacy page explains advertising and network connections.