Files
hermes-agent/tools/AGENTS.md
T
Teknium 028fe2c4c8 feat(delegation): per-task completion groups — ungrouped subagents return as they finish
A background delegate_task call used to be ONE async unit: the runner joined on
every child and a single consolidated message re-entered the conversation when
the SLOWEST finished. Fifteen independent PR reviews therefore waited on the
fifteenth before the parent could act on the first.

Each task now carries an optional `group`. `_units_of` partitions the call's
children into units — one per distinct group, one per ungrouped task — and each
unit is dispatched to the async registry on its own, so its results re-enter the
conversation as soon as THAT unit is done. Tasks that must be compared or merged
share a group and still return together.

Capacity is unchanged: every unit of one call joins the first unit's pool slot
(`slot_key` in `async_delegation._dispatch`), so splitting never consumes more of
`delegation.max_concurrent_children` than the call did. Unit ids suffix the
call's id (`deleg_xxxx-1`, `-2`, …) so live transcripts stay under one dir; the
completion block names the group and notes that sibling units report separately;
`active_task_count` counts a unit's own tasks.
2026-09-06 07:17:30 -07:00

6.8 KiB

tools/ + toolsets.py + model_tools.py — model tools

Applies on top of the root AGENTS.md: settle the Footprint Ladder before adding anything here. Most capabilities should NOT be core tools. Long-form: website/docs/developer-guide/adding-tools.md, tools-runtime.md.

Registry and discovery

tools/registry.py has no deps and is imported by every tool file; each tools/*.py calls registry.register() at import time; model_tools.py imports the registry and triggers discovery (discover_builtin_tools()), then run_agent.py, cli.py, batch_runner.py, environments/ consume it. Any tools/*.py with a top-level registry.register() is imported automatically — no manual import list. The registry handles schema collection, dispatch (handle_function_call()), availability (check_fn, TTL-cached process-wide), and error wrapping. All handlers return a JSON string.

Adding a core tool (2 files) — only when the user is explicitly contributing a core tool

For custom/local-only tools do NOT edit core: create ~/.hermes/plugins/<name>/plugin.yaml + __init__.py and call ctx.register_tool(...); plugin toolsets are discovered automatically and toggled without touching tools/ or toolsets.py (plugins/AGENTS.md).

  1. tools/your_tool.py:
    from tools.registry import registry
    def check_requirements() -> bool: return bool(os.getenv("EXAMPLE_API_KEY"))
    def example_tool(param: str, task_id: str = None) -> str: return json.dumps({"success": True, ...})
    registry.register(name="example_tool", toolset="example",
        schema={"name": "example_tool", "description": "...", "parameters": {...}},
        handler=lambda args, **kw: example_tool(param=args.get("param", ""), task_id=kw.get("task_id")),
        check_fn=check_requirements, requires_env=["EXAMPLE_API_KEY"])
    
  2. toolsets.py: add the name to _HERMES_CORE_TOOLS (all platforms) or a new toolset. Required — discovery registers the schema, but a tool is only exposed if a toolset names it. _HERMES_CORE_TOOLS is the default bundle every platform's base toolset inherits, not dead code.

Rules for tool code:

  • Schema descriptions must not name tools from other toolsets (browser_navigate saying "prefer web_search"). Those tools may be unavailable (missing key, disabled toolset) and the model hallucinates calls to them. Cross-references are added dynamically in get_tool_definitions() in model_tools.py — see the browser_navigate / execute_code post-processing blocks.
  • Paths in schema descriptions use display_hermes_home() (schema is built at import, after _apply_profile_override() set HERMES_HOME). State files use get_hermes_home(), never Path.home()/.hermes, so each profile gets its own state.
  • No offset/limit on instructional tools (skills, prompts, playbooks) — models read page 1 and skip the rest (root rubric).
  • check_fn answers reachability/opt-in, never surface. It is TTL-cached process-wide, and one process serves many sessions; GUI-only tools go in a named toolset (desktop_ui, project) folded in by _load_enabled_toolsets(platform) (root: capability is a property of the SESSION).
  • Agent-level tools (todo, memory) are intercepted before handle_function_call() via the INLINE_TOOL_EXECUTORS table (agent/inline_tool_executors.py; agent/AGENTS.md).
  • _last_resolved_tool_names is a process-global in model_tools.py; _run_single_child() in delegate_tool.py saves/restores it around child runs — readers may see it stale mid-delegation.
  • New tools integrate with existing setup UX (hermes tools, hermes setup, auto-install) rather than a raw env var; secrets go in OPTIONAL_ENV_VARS (hermes_cli/AGENTS.md).

Toolsets (toolsets.py)

Single TOOLSETS dict. Keys today: browser, clarify, code_execution, cronjob, debugging, delegation, discord, discord_admin, feishu_doc, feishu_drive, file, homeassistant, image_gen, kanban, memory, messaging, moa, rl, safe, search, session_search, skills, spotify, terminal, todo, tts, video, vision, web, yuanbao (don't assert the list in tests). Per-platform enable/disable via hermes tools (curses) or tools.<platform>.enabled/disabled in config.yaml. browser_exec replaces the other browser tools when browser.backend is browser-use.

Backends and providers inside tools/

Several tools front pluggable backends: terminal environments in tools/environments/ (local, docker, ssh, modal, daytona, singularity; terminal_tool_backends.py, tool_backend_helpers.py), browser (browser_tool_*.py: cdp, cloud, install, lifecycle, session, real_profile, vision), MCP client (mcp_tool_*.py: config, discovery, transport, registration, content, errors), TTS (tts_tool_providers.py, tts_command_provider.py), skills hub sources (skills_hub_official.py OptionalSkillSource). Adding a backend = a new sibling or provider entry in the existing table, never an elif on a backend name (root shape rules). Remote-backend file visibility problems are fixed at the mount, not by adding a tool.

Delegation (tools/delegate_tool.py)

Spawns a subagent with isolated context + terminal session; the parent waits for the summary unless background=true, which returns a delegation id and re-enters the result via the async-delegation completion queue. Shapes: single (goal + optional context, toolsets) or batch (tasks: [...], concurrency capped by delegation.max_concurrent_children, default 3). A background batch is split into completion units (delegate_tool_dispatch._units_of): tasks sharing a group join and report together; each ungrouped task reports alone as it finishes. Units of one call share ONE pool slot (slot_key in async_delegation._dispatch) — never count units against capacity. Roles: leaf (default; no delegate_task, clarify, memory, send_message, cronjob; keeps execute_code) and orchestrator (keeps delegate_task; gated by delegation.orchestrator_enabled, bounded by delegation.max_spawn_depth, default 2). Config knobs under delegation:: max_concurrent_children, max_spawn_depth, child_timeout_seconds, orchestrator_enabled, subagent_auto_approve, inherit_mcp_toolsets, max_iterations. Durability: background delegation is process-local; work that must survive restart uses cronjob or terminal(background=True, notify_on_complete=True). API: website/docs/developer-guide/subagent-lifecycle-api.md.

Tests

tests/tools/. Test the handler through the registry (real dispatch), not the bare function only; assert contracts ("every registered tool has a toolset", "no schema description names a tool from another toolset") rather than tool counts. Approval/security-boundary tools are E2E'd with real imports against a temp HERMES_HOME (see tests/tools/test_approval_config_readonly.py).