Prompt Token Budget Planner
Paste text to auto-count tokens
Estimated at ~3.5 chars/token for Claude
Paste text to auto-count tokens
Estimated at ~3.5 chars/token for Claude
Paste text to auto-count tokens
Estimated at ~3.5 chars/token for Claude
Paste text to auto-count tokens
Estimated at ~3.5 chars/token for Claude
Paste text to auto-count tokens
Estimated at ~3.5 chars/token for Claude
About Token Budget Planning
This tool helps you plan how to allocate your model's context window across different sections of your AI system prompt. Use it to ensure you leave enough room for conversation history while including necessary context.
Token estimates use ~3.5 chars/token for Claude. Actual counts may vary. For precise counting, use the Token Counter tool.
What This Tool Does
Prompt Token Budget Planner is built for deterministic developer and agent workflows.
Plan your AI system prompt token budget visually across sections against model context limits.
Use How to Use for execution steps and FAQ for constraints, policies, and edge cases.
Last updated:
This tool is provided as-is for convenience. Output should be verified before use in any production or critical context.
Agent Invocation
Best Path For Builders
Browser workflow
Runs instantly in the browser with private local processing and copy/export-ready output.
Browser Workflow
This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.
/token-budget-planner/
For automation planning, fetch the canonical contract at /api/tool/token-budget-planner.json.
How to Use Prompt Token Budget Planner
- 1
Add system prompt
Paste your AI system prompt into the tool. It automatically calculates token count using the model's tokenizer (GPT, Claude, etc.).
- 2
Set input/output budgets
Specify maximum tokens for user input, expected output length, and total context window. The planner shows available budget visually.
- 3
Add example exchanges
Paste sample user questions and model responses to test real token usage under your expected load patterns.
- 4
Visualize token allocation
View a pie chart showing system prompt, user input, output buffer, and remaining tokens. Adjust ratios to optimize.
- 5
Export budget report
Download a summary showing per-token cost, recommended model size, and optimization suggestions for your use case.