# AI Agent Runtime

## Documentation for package ‘corteza’ version 0.7.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

add_observer | Add a tool-call observer to a session
chat | Start Interactive Chat
default_local_model | Detect the preferred local Ollama model
install_cli | Install corteza CLI
matrix_archive_all | Flush all in-memory matrix sessions to the pensar vault
matrix_configure | Configure the Matrix channel for this host
matrix_poll | One iteration of sync-and-reply
matrix_request_flush | Ask the running matrix bot to archive sessions to pensar
matrix_run | Run the Matrix adapter as a long-poll loop
matrix_run_init | Initialize the Matrix long-poll state
matrix_run_step | One Matrix long-poll iteration
matrix_send | Send a message to a Matrix room
mcp_tool_executor | Build a tool executor that routes through an MCP connection
new_session | Create a new turn session
observer_progress | Built-in progress observer that prints to stdout
policy | Evaluate policy for a tool call
serve | Start MCP Server
session_setup | Configure and construct a session for any channel
skill_install | Install a skill from a path or URL
skill_list_installed | List installed skills
skill_remove | Remove an installed skill
skill_test | Run skill tests
subagent_collect | Collect the result of a previously-fired async subagent query.
subagent_kill | Kill a subagent.
subagent_list | List active subagents.
subagent_query | Query a subagent.
subagent_spawn | Spawn a subagent.
turn | Run one agent turn
uninstall_cli | Uninstall corteza CLI