bryancostanich/Cercano - 2페이지

cercano-submit-usage

Submit cloud token usage data to Cercano (opt-in). This sends data, not a report — use cercano_stats to view usage. Helps track cloud tokens alongside local inference for accurate local-vs-cloud comparison.

원문 언어: 영어

cercano-init

Initialize Cercano for a project by scanning the repo and building a context file. Makes all Cercano tools project-aware with domain-specific knowledge. Run this once per project for dramatically better local AI responses.

원문 언어: 영어

cercano-classify

Classify or triage text using local AI via Cercano. Returns a category, confidence level, and brief reasoning. Use this for quick local triage of errors, logs, code quality issues, bug reports, or any content that needs categorization without sending it to…

원문 언어: 영어

cercano-explain

Explain code or text using local AI via Cercano. Returns a clear explanation of what the code does, its key interfaces, and data flow. Use this to understand unfamiliar code, complex algorithms, or dense documentation locally before deciding what context to…

원문 언어: 영어

cercano-extract

Extract specific information from text using local AI via Cercano. Returns only the relevant sections matching your query. Use this to pull function signatures, error messages, config values, API endpoints, or other targeted information from large text…

원문 언어: 영어

cercano-local

Run prompts against local AI models via Cercano and Ollama. Use this for local inference — faster, private, and zero cost. Handles chat-style queries and agentic code generation with automatic validation. Offload summarization, explanation, code writing, and…

원문 언어: 영어

cercano-models

List AI models available on the Ollama instance connected to Cercano. Returns model names, sizes, and modification dates. Use this to discover what local models are available before choosing one for inference or switching the active model.

원문 언어: 영어