Faraazuddin Mohammed
@faraa2m
Engineer building LLM cost & routing tools — tokenometer, llm-tokens-atlas, promptc, routerlab.
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Published Tools
2 MCP Servers2 Skillsacross 3 categoriesFaraazuddin Mohammed
Open benchmark of LLM tokenization across 5 providers — offline vs empirical calibration deltas.
Faraazuddin Mohammed
Model Context Protocol server for tokenometer — lets AI agents self-monitor LLM token spend, estimate costs, and budget-check before sending prompts.
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Empirical token-cost benchmarking CLI for LLM prompts. Tells you what your prompt actually costs across Claude, GPT-4o, and Gemini, in every format.
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Tokenometer core library — multi-provider LLM token cost, latency, and vision-token estimation with empirical countTokens fallback (Anthropic, OpenAI, Google, Mistral, Cohere).
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