
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 the cloud.
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 without sending everything to the cloud.
View Cercano usage statistics and cloud token savings. Shows total requests, tokens processed locally, cloud tokens reported by the host, percentage kept local, and breakdowns by tool, model, and day.
Generate doc comments for exported Go symbols using local AI and write them directly to the file. The host never sees the file contents — Cercano handles the entire read-think-write cycle locally.
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 general LLM tasks to a local model instead of sending them to the cloud.
Research a question using DuckDuckGo search and local AI analysis. Crafts search queries, fetches top results, and synthesizes a sourced answer — all locally.
Summarize text or files using local AI via Cercano without sending content to the cloud. Supports brief, medium, and detailed summary lengths.
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 send to the cloud.
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.
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 the cloud.
Query or update Cercano's runtime configuration without restarting the server. Use action 'get' to list available local models from Ollama. Use action 'set' to switch the active local model, change the Ollama endpoint URL, or change the cloud provider and model.
Query or update Cercano's runtime configuration without restarting the server. Use this to switch the active local model, change the Ollama endpoint URL, or change the cloud provider and model. Useful when you need a different model for a specific task or want to point at a different Ollama instance.
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 send to the cloud.
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 without sending everything to the cloud.
Fetch a URL and extract readable text content locally. Returns full extracted text (not a summary) — HTML is stripped to clean plain text.
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.
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.
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 general LLM tasks to a local model instead of sending them to the cloud.
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.
Research a question using DuckDuckGo search and local AI analysis. Crafts search queries, fetches top results, and synthesizes a sourced answer — all locally.
View Cercano usage statistics and cloud token savings. Shows total requests, tokens processed locally, cloud tokens reported by the host, percentage kept local, and breakdowns by tool, model, and day.
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.
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.
Summarize text or files using local AI via Cercano without sending content to the cloud. Supports brief, medium, and detailed summary lengths.
Fetch a URL and extract readable text content locally. Returns full extracted text (not a summary) — HTML is stripped to clean plain text.