feat: show estimated tool token context in hermes tools checklist (#3805)

* feat: show estimated tool token context in hermes tools checklist

Adds a live token estimate indicator to the bottom of the interactive
tool configuration checklist (hermes tools / hermes setup). As users
toggle toolsets on/off, the total estimated context cost updates in
real time.

Implementation:
- tools/registry.py: Add get_schema() for check_fn-free schema access
- hermes_cli/curses_ui.py: Add optional status_fn callback to
  curses_checklist — renders at bottom-right of terminal, stays fixed
  while items scroll
- hermes_cli/tools_config.py: Add _estimate_tool_tokens() using
  tiktoken (cl100k_base, already installed) to count tokens in the
  JSON-serialised OpenAI-format tool schemas. Results are cached
  per-process. The status function deduplicates overlapping tools
  (e.g. browser includes web_search) for accurate totals.
- 12 new tests covering estimation, caching, graceful degradation
  when tiktoken is unavailable, status_fn wiring, deduplication,
  and the numbered fallback display

* fix: use effective toolsets (includes plugins) for token estimation index mapping

The status_fn closure built ts_keys from CONFIGURABLE_TOOLSETS but the
checklist uses _get_effective_configurable_toolsets() which appends plugin
toolsets. With plugins present, the indices would mismatch, causing
IndexError when selecting a plugin toolset.
This commit is contained in:
Teknium
2026-03-29 15:36:56 -07:00
committed by GitHub
parent 475205e30b
commit ee3d2941cc
4 changed files with 382 additions and 4 deletions

View File

@@ -4,7 +4,7 @@ Used by `hermes tools` and `hermes skills` for interactive checklists.
Provides a curses multi-select with keyboard navigation, plus a
text-based numbered fallback for terminals without curses support.
"""
from typing import List, Set
from typing import Callable, List, Optional, Set
from hermes_cli.colors import Colors, color
@@ -15,6 +15,7 @@ def curses_checklist(
selected: Set[int],
*,
cancel_returns: Set[int] | None = None,
status_fn: Optional[Callable[[Set[int]], str]] = None,
) -> Set[int]:
"""Curses multi-select checklist. Returns set of selected indices.
@@ -23,6 +24,9 @@ def curses_checklist(
items: Display labels for each row.
selected: Indices that start checked (pre-selected).
cancel_returns: Returned on ESC/q. Defaults to the original *selected*.
status_fn: Optional callback ``f(chosen_indices) -> str`` whose return
value is rendered on the bottom row of the terminal. Use this for
live aggregate info (e.g. estimated token counts).
"""
if cancel_returns is None:
cancel_returns = set(selected)
@@ -47,6 +51,9 @@ def curses_checklist(
stdscr.clear()
max_y, max_x = stdscr.getmaxyx()
# Reserve bottom row for status bar when status_fn provided
footer_rows = 1 if status_fn else 0
# Header
try:
hattr = curses.A_BOLD
@@ -62,7 +69,7 @@ def curses_checklist(
pass
# Scrollable item list
visible_rows = max_y - 3
visible_rows = max_y - 3 - footer_rows
if cursor < scroll_offset:
scroll_offset = cursor
elif cursor >= scroll_offset + visible_rows:
@@ -72,7 +79,7 @@ def curses_checklist(
range(scroll_offset, min(len(items), scroll_offset + visible_rows))
):
y = draw_i + 3
if y >= max_y - 1:
if y >= max_y - 1 - footer_rows:
break
check = "" if i in chosen else " "
arrow = "" if i == cursor else " "
@@ -87,6 +94,20 @@ def curses_checklist(
except curses.error:
pass
# Status bar (bottom row, right-aligned)
if status_fn:
try:
status_text = status_fn(chosen)
if status_text:
# Right-align on the bottom row
sx = max(0, max_x - len(status_text) - 1)
sattr = curses.A_DIM
if curses.has_colors():
sattr |= curses.color_pair(3)
stdscr.addnstr(max_y - 1, sx, status_text, max_x - sx - 1, sattr)
except curses.error:
pass
stdscr.refresh()
key = stdscr.getch()
@@ -107,7 +128,7 @@ def curses_checklist(
return result_holder[0] if result_holder[0] is not None else cancel_returns
except Exception:
return _numbered_fallback(title, items, selected, cancel_returns)
return _numbered_fallback(title, items, selected, cancel_returns, status_fn)
def _numbered_fallback(
@@ -115,6 +136,7 @@ def _numbered_fallback(
items: List[str],
selected: Set[int],
cancel_returns: Set[int],
status_fn: Optional[Callable[[Set[int]], str]] = None,
) -> Set[int]:
"""Text-based toggle fallback for terminals without curses."""
chosen = set(selected)
@@ -125,6 +147,10 @@ def _numbered_fallback(
for i, label in enumerate(items):
marker = color("[✓]", Colors.GREEN) if i in chosen else "[ ]"
print(f" {marker} {i + 1:>2}. {label}")
if status_fn:
status_text = status_fn(chosen)
if status_text:
print(color(f"\n {status_text}", Colors.DIM))
print()
try:
val = input(color(" Toggle # (or Enter to confirm): ", Colors.DIM)).strip()

View File

@@ -9,6 +9,8 @@ Saves per-platform tool configuration to ~/.hermes/config.yaml under
the `platform_toolsets` key.
"""
import json as _json
import logging
import sys
from pathlib import Path
from typing import Dict, List, Optional, Set
@@ -19,6 +21,8 @@ from hermes_cli.config import (
)
from hermes_cli.colors import Colors, color
logger = logging.getLogger(__name__)
PROJECT_ROOT = Path(__file__).parent.parent.resolve()
@@ -653,9 +657,61 @@ def _prompt_choice(question: str, choices: list, default: int = 0) -> int:
return default
# ─── Token Estimation ────────────────────────────────────────────────────────
# Module-level cache so discovery + tokenization runs at most once per process.
_tool_token_cache: Optional[Dict[str, int]] = None
def _estimate_tool_tokens() -> Dict[str, int]:
"""Return estimated token counts per individual tool name.
Uses tiktoken (cl100k_base) to count tokens in the JSON-serialised
OpenAI-format tool schema. Triggers tool discovery on first call,
then caches the result for the rest of the process.
Returns an empty dict when tiktoken or the registry is unavailable.
"""
global _tool_token_cache
if _tool_token_cache is not None:
return _tool_token_cache
try:
import tiktoken
enc = tiktoken.get_encoding("cl100k_base")
except Exception:
logger.debug("tiktoken unavailable; skipping tool token estimation")
_tool_token_cache = {}
return _tool_token_cache
try:
# Trigger full tool discovery (imports all tool modules).
import model_tools # noqa: F401
from tools.registry import registry
except Exception:
logger.debug("Tool registry unavailable; skipping token estimation")
_tool_token_cache = {}
return _tool_token_cache
counts: Dict[str, int] = {}
for name in registry.get_all_tool_names():
schema = registry.get_schema(name)
if schema:
# Mirror what gets sent to the API:
# {"type": "function", "function": <schema>}
text = _json.dumps({"type": "function", "function": schema})
counts[name] = len(enc.encode(text))
_tool_token_cache = counts
return _tool_token_cache
def _prompt_toolset_checklist(platform_label: str, enabled: Set[str]) -> Set[str]:
"""Multi-select checklist of toolsets. Returns set of selected toolset keys."""
from hermes_cli.curses_ui import curses_checklist
from toolsets import resolve_toolset
# Pre-compute per-tool token counts (cached after first call).
tool_tokens = _estimate_tool_tokens()
effective = _get_effective_configurable_toolsets()
@@ -671,11 +727,27 @@ def _prompt_toolset_checklist(platform_label: str, enabled: Set[str]) -> Set[str
if ts_key in enabled
}
# Build a live status function that shows deduplicated total token cost.
status_fn = None
if tool_tokens:
ts_keys = [ts_key for ts_key, _, _ in effective]
def status_fn(chosen: set) -> str:
# Collect unique tool names across all selected toolsets
all_tools: set = set()
for idx in chosen:
all_tools.update(resolve_toolset(ts_keys[idx]))
total = sum(tool_tokens.get(name, 0) for name in all_tools)
if total >= 1000:
return f"Est. tool context: ~{total / 1000:.1f}k tokens"
return f"Est. tool context: ~{total} tokens"
chosen = curses_checklist(
f"Tools for {platform_label}",
labels,
pre_selected,
cancel_returns=pre_selected,
status_fn=status_fn,
)
return {effective[i][0] for i in chosen}