1cc7988953
- Add shell_exec to orchestrator tool suite (system.py + __init__.py) Runs arbitrary shell commands on the Cortex host with timeout (1–120s), combined stdout/stderr output, optional working_dir, and exit code reporting. Enables system diagnostics (df, ls, ps, journalctl, etc.) from Agent mode. - Fix orchestrator_engine.run() to use model_name from resolved registry entry Previously used settings.orchestrator_model (.env hardcode) regardless of what model was assigned to the orchestrator role. Now accepts model_name param and falls back to settings value only when registry has no model_name. - Update ARCH__FUTURE.md: date, running host, local orchestrator status, model registry V2 progress, added Cortex Mesh concept (section 9) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
643 lines
22 KiB
Python
643 lines
22 KiB
Python
"""
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Orchestrator tool registry.
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Each tool has two parts:
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1. A Gemini FunctionDeclaration — tells the model what the tool does and what args it takes
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2. A Python async callable — the actual implementation
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To add a new tool:
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1. Implement it in a tools/<domain>.py module
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2. Import it here and add (declaration, callable) to _REGISTRY
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3. Add a FunctionDeclaration below and include it in TOOL_DECLARATIONS
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IMPORTANT: These tools are separate from the ae_* MCP tools used by the fleet agents.
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Do not modify the ae_* MCP server to support orchestrator needs.
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"""
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from google.genai import types
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from tools.web import search as _web_search
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from tools.ae_knowledge import journal_search as _ae_journal_search
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from tools.ae_knowledge import journal_entry_create as _ae_journal_entry_create
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from tools.ae_tasks import task_list as _ae_task_list
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from tools.files import file_read as _file_read
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from tools.system import claude_allow_dir as _claude_allow_dir, shell_exec as _shell_exec
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from tools.tasks import task_list as _task_list, task_create as _task_create
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from tools.tasks import task_update as _task_update, task_complete as _task_complete
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from tools.cron import (
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cron_list as _cron_list,
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cron_add as _cron_add,
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cron_remove as _cron_remove,
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cron_toggle as _cron_toggle,
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)
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from tools.reminders import (
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reminders_add as _reminders_add,
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reminders_list as _reminders_list,
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reminders_clear as _reminders_clear,
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)
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from tools.scratch import (
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scratch_read as _scratch_read,
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scratch_write as _scratch_write,
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scratch_append as _scratch_append,
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scratch_clear as _scratch_clear,
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)
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# ---------------------------------------------------------------------------
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# Gemini function declarations
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# ---------------------------------------------------------------------------
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_web_search_declaration = types.FunctionDeclaration(
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name="web_search",
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description=(
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"Search the web for current information. Use this when you need up-to-date "
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"facts, news, documentation, or anything not in your training data."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"query": types.Schema(
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type=types.Type.STRING,
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description="The search query string",
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),
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"max_results": types.Schema(
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type=types.Type.INTEGER,
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description="Number of results to return (default 5, max 10)",
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),
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},
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required=["query"],
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),
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)
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_ae_journal_search_declaration = types.FunctionDeclaration(
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name="ae_journal_search",
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description=(
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"Search the Aether Journals knowledge base by keyword. "
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"Use this to look up notes, documentation, meeting summaries, or any saved knowledge. "
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"Always search before creating a new entry to avoid duplicates."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"query": types.Schema(
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type=types.Type.STRING,
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description="Keyword or phrase to search for",
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),
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"journal_id": types.Schema(
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type=types.Type.STRING,
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description=(
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"Optional: scope search to a specific journal by its id_random. "
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"Omit to search all journals."
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),
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),
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"max_results": types.Schema(
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type=types.Type.INTEGER,
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description="Maximum number of entries to return (default 10)",
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),
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},
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required=["query"],
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),
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)
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_ae_journal_entry_create_declaration = types.FunctionDeclaration(
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name="ae_journal_entry_create",
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description=(
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"Create a new entry in an Aether Journal. "
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"Use this to save notes, summaries, or any content the user wants to store. "
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"Always call ae_journal_search first to check for existing entries on the same topic."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"journal_id": types.Schema(
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type=types.Type.STRING,
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description=(
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"The id_random of the target journal. "
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"Ask the user which journal to write to if not specified."
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),
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),
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"title": types.Schema(
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type=types.Type.STRING,
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description="Entry title",
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),
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"content": types.Schema(
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type=types.Type.STRING,
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description="Full entry content (markdown supported)",
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),
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"summary": types.Schema(
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type=types.Type.STRING,
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description="Optional short summary (1-2 sentences)",
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),
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"tags": types.Schema(
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type=types.Type.STRING,
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description="Optional comma-separated tags (e.g. 'wireguard, networking, homelab')",
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),
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},
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required=["journal_id", "title", "content"],
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),
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)
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_ae_task_list_declaration = types.FunctionDeclaration(
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name="ae_task_list",
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description=(
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"List tasks from the agents_sync Kanban board (todo and in-progress). "
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"Use this when asked about current work, pending tasks, or project status."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"include_done": types.Schema(
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type=types.Type.BOOLEAN,
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description="If true, also include completed tasks (default false)",
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),
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},
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),
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)
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_file_read_declaration = types.FunctionDeclaration(
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name="file_read",
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description=(
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"Read a local file and return its contents. "
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"Allowed directories: ~/agents_sync/, ~/OSIT_dev/, ~/DgrZone_Nextcloud/, ~/OSIT_Nextcloud/. "
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"Use this to read documentation, notes, CLAUDE.md files, or config references. "
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"If given a directory path, returns a directory listing instead."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"path": types.Schema(
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type=types.Type.STRING,
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description=(
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"Absolute or home-relative path to the file "
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"(e.g. ~/agents_sync/CLAUDE.md or /home/scott/agents_sync/tasks/01_todo/)"
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),
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),
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"max_lines": types.Schema(
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type=types.Type.INTEGER,
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description="Optional line limit (default 500)",
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),
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},
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required=["path"],
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),
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)
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# ---------------------------------------------------------------------------
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# Registry: maps tool name → async callable
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# ---------------------------------------------------------------------------
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_CALLABLES: dict[str, callable] = {
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"web_search": _web_search,
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"ae_journal_search": _ae_journal_search,
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"ae_journal_entry_create": _ae_journal_entry_create,
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"ae_task_list": _ae_task_list,
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"file_read": _file_read,
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"claude_allow_dir": _claude_allow_dir,
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"shell_exec": _shell_exec,
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"task_list": _task_list,
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"task_create": _task_create,
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"task_update": _task_update,
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"task_complete": _task_complete,
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"cron_list": _cron_list,
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"cron_add": _cron_add,
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"cron_remove": _cron_remove,
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"cron_toggle": _cron_toggle,
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"reminders_add": _reminders_add,
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"reminders_list": _reminders_list,
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"reminders_clear": _reminders_clear,
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"scratch_read": _scratch_read,
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"scratch_write": _scratch_write,
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"scratch_append": _scratch_append,
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"scratch_clear": _scratch_clear,
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}
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_claude_allow_dir_declaration = types.FunctionDeclaration(
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name="claude_allow_dir",
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description=(
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"Add a directory to Claude Code's auto-allow list so Claude can read or write "
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"files there without prompting. Edits ~/.claude/settings.json on the local machine. "
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"Use this when Claude is silently hanging or being blocked from accessing a directory. "
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"Changes take effect in the next Claude Code session."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"path": types.Schema(
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type=types.Type.STRING,
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description=(
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"Absolute or home-relative path to the directory "
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"(e.g. ~/OSIT_dev/aether_api_fastapi or /home/scott/agents_sync)"
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),
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),
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"mode": types.Schema(
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type=types.Type.STRING,
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description="Permission mode: 'r' (read-only), 'w' (write-only), or 'rw' (both). Default: rw",
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),
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},
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required=["path"],
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),
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)
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_shell_exec_declaration = types.FunctionDeclaration(
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name="shell_exec",
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description=(
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"Execute a shell command on the Cortex host machine and return its output. "
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"Use for system diagnostics: disk usage (df -h), process status (ps aux), "
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"directory listings (ls), memory (free -h), uptime, network info, log tails, etc. "
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"Commands run as the Cortex service user. Timeout enforced (default 30s, max 120s). "
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"Avoid destructive commands — prefer read-only system queries."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"command": types.Schema(
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type=types.Type.STRING,
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description="Shell command to run (e.g. 'df -h', 'ls ~/agents_sync/', 'journalctl --user -u cortex -n 50')",
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),
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"working_dir": types.Schema(
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type=types.Type.STRING,
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description="Optional working directory (e.g. '~/agents_sync/projects'). Defaults to home directory.",
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),
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"timeout": types.Schema(
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type=types.Type.INTEGER,
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description="Timeout in seconds (default 30, max 120)",
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),
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},
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required=["command"],
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),
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)
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_task_list_declaration = types.FunctionDeclaration(
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name="task_list",
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description=(
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"List personal tasks from Inara's task list. "
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"Use this to check what's on the list, review pending work, or find a task ID. "
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"Optionally filter by status: 'todo', 'in_progress', or 'done'."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"status": types.Schema(
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type=types.Type.STRING,
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description="Filter by status: 'todo', 'in_progress', or 'done'. Omit to list all.",
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),
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},
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),
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)
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_task_create_declaration = types.FunctionDeclaration(
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name="task_create",
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description=(
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"Add a new task to Inara's personal task list. "
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"Use this when the user asks to remember something, add a to-do, or track a follow-up."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"title": types.Schema(
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type=types.Type.STRING,
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description="Short task title",
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),
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"description": types.Schema(
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type=types.Type.STRING,
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description="Optional longer description or context",
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),
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"priority": types.Schema(
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type=types.Type.STRING,
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description="Priority: 'low', 'normal', or 'high'. Default: normal.",
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),
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},
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required=["title"],
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),
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)
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_task_update_declaration = types.FunctionDeclaration(
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name="task_update",
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description=(
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"Update an existing task. Use task_list first to get the task ID. "
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"Can update status, title, description, or priority. "
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"To just mark complete, use task_complete instead."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"task_id": types.Schema(
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type=types.Type.STRING,
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description="Task ID (e.g. t_abc123) — get from task_list",
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),
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"status": types.Schema(
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type=types.Type.STRING,
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description="New status: 'todo', 'in_progress', or 'done'",
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),
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"title": types.Schema(
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type=types.Type.STRING,
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description="Updated title",
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),
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"description": types.Schema(
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type=types.Type.STRING,
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description="Updated description",
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),
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"priority": types.Schema(
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type=types.Type.STRING,
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description="Updated priority: 'low', 'normal', or 'high'",
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),
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},
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required=["task_id"],
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),
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)
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_task_complete_declaration = types.FunctionDeclaration(
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name="task_complete",
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description=(
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"Mark a task as done. Use task_list first to get the task ID. "
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"Shorthand for task_update with status='done'."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"task_id": types.Schema(
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type=types.Type.STRING,
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description="Task ID (e.g. t_abc123) — get from task_list",
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),
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},
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required=["task_id"],
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),
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)
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_cron_list_declaration = types.FunctionDeclaration(
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name="cron_list",
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description=(
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"List all scheduled cron jobs — their ID, label, schedule, type, and last run time. "
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"Use this to see what's scheduled before adding or removing jobs."
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),
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parameters=types.Schema(type=types.Type.OBJECT, properties={}),
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)
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_cron_add_declaration = types.FunctionDeclaration(
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name="cron_add",
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description=(
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"Create a new scheduled cron job and register it immediately (no restart needed). "
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"Two types: 'remind' writes to the pending reminders queue (Inara sees it automatically "
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"in context next session); 'note' appends to the scratchpad. "
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"Schedule formats: 'hourly' | 'daily' | 'daily:HH:MM' | 'weekly:DOW' | 'weekly:DOW:HH:MM'. "
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"Example: schedule='daily:09:00', type='remind', payload='Check in with Scott.'"
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"label": types.Schema(
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type=types.Type.STRING,
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description="Short human-readable name for this job (e.g. 'Morning check-in')",
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),
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"schedule": types.Schema(
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type=types.Type.STRING,
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description=(
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"When to run. Formats: hourly | daily | daily:HH:MM | "
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"weekly:DOW | weekly:DOW:HH:MM (e.g. 'weekly:mon:09:00')"
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),
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),
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"job_type": types.Schema(
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type=types.Type.STRING,
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description="'remind' (→ REMINDERS.md, auto-surfaced in context) or 'note' (→ SCRATCH.md)",
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),
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"payload": types.Schema(
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type=types.Type.STRING,
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description="The text to write when the job fires",
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),
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},
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required=["label", "schedule", "job_type", "payload"],
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),
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)
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_cron_remove_declaration = types.FunctionDeclaration(
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name="cron_remove",
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description=(
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"Permanently delete a scheduled cron job. Use cron_list first to get the ID. "
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"To temporarily disable without deleting, use cron_toggle instead."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"cron_id": types.Schema(
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type=types.Type.STRING,
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description="Job ID (e.g. c_abc123) — get from cron_list",
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),
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},
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required=["cron_id"],
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),
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)
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_cron_toggle_declaration = types.FunctionDeclaration(
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name="cron_toggle",
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description=(
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"Pause a running cron job, or resume a paused one. "
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"The job stays in the list and can be re-enabled later. "
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"Use cron_list to see current enabled/paused state."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"cron_id": types.Schema(
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type=types.Type.STRING,
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description="Job ID (e.g. c_abc123) — get from cron_list",
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),
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},
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required=["cron_id"],
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),
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)
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_reminders_add_declaration = types.FunctionDeclaration(
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name="reminders_add",
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description=(
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"Add a new reminder to REMINDERS.md. Reminders are automatically surfaced "
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"in your context at the start of each session (Tier 2+). "
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"Use this when the user asks you to remember something, follow up on something, "
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"or surface a note at the next session."
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),
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parameters=types.Schema(
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type=types.Type.OBJECT,
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properties={
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"text": types.Schema(
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type=types.Type.STRING,
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description="The reminder text to add",
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),
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"label": types.Schema(
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type=types.Type.STRING,
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description="Optional heading for this reminder (e.g. 'Follow up on NC Talk'). Defaults to current timestamp.",
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),
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},
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required=["text"],
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),
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)
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_reminders_list_declaration = types.FunctionDeclaration(
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name="reminders_list",
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description=(
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"Read all current pending reminders from REMINDERS.md. "
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"Use this to check what reminders are queued before adding duplicates, "
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"or to show the user what's pending."
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),
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parameters=types.Schema(type=types.Type.OBJECT, properties={}),
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)
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_reminders_clear_declaration = types.FunctionDeclaration(
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name="reminders_clear",
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description=(
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"Erase all pending reminders from REMINDERS.md. "
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"Use this after you have acknowledged and acted on the reminders shown in your context."
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),
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parameters=types.Schema(type=types.Type.OBJECT, properties={}),
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)
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_scratch_read_declaration = types.FunctionDeclaration(
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name="scratch_read",
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description=(
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"Read the full contents of the scratchpad. "
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"Use this to recall working notes, mid-task context, or anything previously jotted down. "
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"The scratchpad is transient — nothing here is distilled or archived."
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),
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parameters=types.Schema(type=types.Type.OBJECT, properties={}),
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)
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_scratch_write_declaration = types.FunctionDeclaration(
|
|
name="scratch_write",
|
|
description=(
|
|
"Replace the entire scratchpad with new content. "
|
|
"Use this to set a clean working note, replacing whatever was there before. "
|
|
"For adding without replacing, use scratch_append instead."
|
|
),
|
|
parameters=types.Schema(
|
|
type=types.Type.OBJECT,
|
|
properties={
|
|
"content": types.Schema(
|
|
type=types.Type.STRING,
|
|
description="The new scratchpad content (markdown supported)",
|
|
),
|
|
},
|
|
required=["content"],
|
|
),
|
|
)
|
|
|
|
_scratch_append_declaration = types.FunctionDeclaration(
|
|
name="scratch_append",
|
|
description=(
|
|
"Add a new section to the bottom of the scratchpad without replacing existing content. "
|
|
"Each section gets a timestamp heading unless you supply one."
|
|
),
|
|
parameters=types.Schema(
|
|
type=types.Type.OBJECT,
|
|
properties={
|
|
"content": types.Schema(
|
|
type=types.Type.STRING,
|
|
description="The content to append (markdown supported)",
|
|
),
|
|
"heading": types.Schema(
|
|
type=types.Type.STRING,
|
|
description="Optional section heading. Defaults to current UTC timestamp.",
|
|
),
|
|
},
|
|
required=["content"],
|
|
),
|
|
)
|
|
|
|
_scratch_clear_declaration = types.FunctionDeclaration(
|
|
name="scratch_clear",
|
|
description="Erase everything in the scratchpad. Use when the working notes are no longer needed.",
|
|
parameters=types.Schema(type=types.Type.OBJECT, properties={}),
|
|
)
|
|
|
|
|
|
# Gemini Tool object — pass this to GenerateContentConfig
|
|
TOOL_DECLARATIONS = [
|
|
types.Tool(function_declarations=[
|
|
_web_search_declaration,
|
|
_ae_journal_search_declaration,
|
|
_ae_journal_entry_create_declaration,
|
|
_ae_task_list_declaration,
|
|
_file_read_declaration,
|
|
_claude_allow_dir_declaration,
|
|
_shell_exec_declaration,
|
|
_task_list_declaration,
|
|
_task_create_declaration,
|
|
_task_update_declaration,
|
|
_task_complete_declaration,
|
|
_cron_list_declaration,
|
|
_cron_add_declaration,
|
|
_cron_remove_declaration,
|
|
_cron_toggle_declaration,
|
|
_reminders_add_declaration,
|
|
_reminders_list_declaration,
|
|
_reminders_clear_declaration,
|
|
_scratch_read_declaration,
|
|
_scratch_write_declaration,
|
|
_scratch_append_declaration,
|
|
_scratch_clear_declaration,
|
|
])
|
|
]
|
|
|
|
|
|
async def call_tool(name: str, args: dict) -> str:
|
|
"""Dispatch a tool call by name. Returns result as a string."""
|
|
fn = _CALLABLES.get(name)
|
|
if fn is None:
|
|
return f"Unknown tool: {name}"
|
|
return await fn(**args)
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# OpenAI JSON Schema format — auto-derived from the Gemini declarations above
|
|
# so there is a single source of truth for tool definitions.
|
|
# ---------------------------------------------------------------------------
|
|
|
|
_GEMINI_TYPE_TO_JSON = {
|
|
"OBJECT": "object",
|
|
"STRING": "string",
|
|
"INTEGER": "integer",
|
|
"NUMBER": "number",
|
|
"BOOLEAN": "boolean",
|
|
"ARRAY": "array",
|
|
}
|
|
|
|
|
|
def _schema_to_json(schema) -> dict:
|
|
"""Recursively convert a Gemini types.Schema to a JSON Schema dict."""
|
|
type_name = getattr(getattr(schema, "type", None), "name", "STRING")
|
|
result: dict = {"type": _GEMINI_TYPE_TO_JSON.get(type_name, "string")}
|
|
|
|
if getattr(schema, "description", None):
|
|
result["description"] = schema.description
|
|
|
|
props = getattr(schema, "properties", None) or {}
|
|
if result["type"] == "object":
|
|
result["properties"] = {k: _schema_to_json(v) for k, v in props.items()}
|
|
|
|
req = getattr(schema, "required", None)
|
|
if req:
|
|
result["required"] = list(req)
|
|
|
|
return result
|
|
|
|
|
|
def _build_openai_tools() -> list[dict]:
|
|
"""Convert TOOL_DECLARATIONS (Gemini format) to OpenAI tool schemas."""
|
|
out = []
|
|
for decl in TOOL_DECLARATIONS[0].function_declarations:
|
|
params = (
|
|
_schema_to_json(decl.parameters)
|
|
if decl.parameters
|
|
else {"type": "object", "properties": {}}
|
|
)
|
|
out.append({
|
|
"type": "function",
|
|
"function": {
|
|
"name": decl.name,
|
|
"description": decl.description or "",
|
|
"parameters": params,
|
|
},
|
|
})
|
|
return out
|
|
|
|
|
|
# OpenAI-format tool list — pass to client.chat.completions.create(tools=...)
|
|
OPENAI_TOOL_SCHEMAS: list[dict] = _build_openai_tools()
|