AI & LLM tools
Token counts, cost estimates, prompt building and RAG helpers — locally, no API key.
Estimate tokens and cost
- Run DevSnip Pro: LLM Models, Tokens & Cost.
- Paste a real prompt, including the system prompt and a typical user message.
- Read the estimated tokens and the cost per request, per day and per month across 18 chat models, or compare context windows and prices side by side.
NoteToken counts are estimates, and model prices change often. Confirm against your provider’s pricing page before committing to a budget.
Other AI tools
| Tool | Use it to |
|---|---|
| Prompt Builder | Fill a template with {{variables}}, catch common mistakes and export the API payload |
| LLM Output Cleaner & JSON Validator | Pull JSON out of a model reply, repair it and validate it |
| JSON → TOON | Rewrite JSON into a compact notation to save prompt tokens |
| LLM Client Setup | Generate a configured client for OpenAI, Anthropic, Gemini, Azure OpenAI or Ollama |
| AI App Starter | Start a runnable AI app project for your stack |
| GPU Memory & Speed | Check whether a model fits on a GPU and how fast it will run |
Plan retrieval (RAG)
- Chunking Tester: compare chunk sizes and strategies on your own text.
- Context Window Budget: how many chunks fit next to the system prompt, history and answer.
- Chunk & Index Size Calculator: chunks, embedding cost, vector storage and index RAM for a corpus.
- Answer Grounding Checker: which sentences of an answer the retrieved context supports.
- All of them are in the Data & RAG section of the sidebar.