AI Cost Optimization Glossary
Understand the concepts behind AI cost optimization. From prompt compression to model routing, learn how to reduce your AI API spend.
AI Cost Reduction
Comprehensive overview of strategies to reduce OpenClaw API costs: compression, routing, caching, prompt engineering, and more.
API Gateway
API gateways manage API traffic with routing, rate limiting, and auth. Learn how they compare to AI-specific proxies like claw.zip for OpenClaw users.
API Proxy
An API proxy sits between your application and an API, adding features like compression and routing. Learn how proxies optimize OpenClaw API usage.
Context Window
A context window is the maximum number of tokens an LLM can process. Learn about context limits and how claw.zip compression extends them for OpenClaw users.
LLM API Costs
LLM APIs charge per token for input and output. Learn how pricing works, what drives OpenClaw costs, and how to reduce AI API spend by 80-93%.
Lossless Prompt Compression
Lossless prompt compression reduces tokens without degrading model output quality. Learn how it differs from lossy compression and why it matters.
AI Model Routing
AI model routing automatically selects the cheapest capable model for each query. Learn how it reduces OpenClaw costs without sacrificing quality.
OpenClaw
OpenClaw provides direct access to Anthropic's Claude models via API. Learn what OpenClaw is and how claw.zip reduces its API costs by 80-93%.
Prompt Compression
Prompt compression reduces the number of tokens in AI prompts while preserving meaning. Learn how it works and why it matters for OpenClaw API costs.
Prompt Engineering
Prompt engineering is the art of designing prompts for optimal AI responses. Learn the difference between quality optimization and cost optimization.
API Rate Limiting
Rate limiting controls how many API requests you can make. Learn about rate limits on OpenClaw and strategies for managing them.
Semantic Compression
Semantic compression reduces tokens while preserving meaning. Learn how it differs from basic text compression and why it is better for AI.
Semantic Fidelity
Semantic fidelity measures how well a compressed prompt preserves the meaning of the original. Learn why 99.3% fidelity matters for production AI.
Token Counting
Token counting measures how many tokens are in a prompt or response. Learn why token counts matter for OpenClaw API costs and context windows.
Token Optimization
Token optimization reduces the number of tokens consumed by AI API calls. Learn techniques for minimizing token usage and OpenClaw costs.
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