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Author SHA1 Message Date
Alexander Whitestone
eab5635a7a fix: restore /usage account limits (#958)
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2026-04-22 10:36:49 -04:00
9 changed files with 680 additions and 1733 deletions

326
agent/account_usage.py Normal file
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@@ -0,0 +1,326 @@
from __future__ import annotations
from dataclasses import dataclass
from datetime import datetime, timezone
from typing import Any, Optional
import httpx
from agent.anthropic_adapter import _is_oauth_token, resolve_anthropic_token
from hermes_cli.auth import _read_codex_tokens, resolve_codex_runtime_credentials
from hermes_cli.runtime_provider import resolve_runtime_provider
def _utc_now() -> datetime:
return datetime.now(timezone.utc)
@dataclass(frozen=True)
class AccountUsageWindow:
label: str
used_percent: Optional[float] = None
reset_at: Optional[datetime] = None
detail: Optional[str] = None
@dataclass(frozen=True)
class AccountUsageSnapshot:
provider: str
source: str
fetched_at: datetime
title: str = "Account limits"
plan: Optional[str] = None
windows: tuple[AccountUsageWindow, ...] = ()
details: tuple[str, ...] = ()
unavailable_reason: Optional[str] = None
@property
def available(self) -> bool:
return bool(self.windows or self.details) and not self.unavailable_reason
def _title_case_slug(value: Optional[str]) -> Optional[str]:
cleaned = str(value or "").strip()
if not cleaned:
return None
return cleaned.replace("_", " ").replace("-", " ").title()
def _parse_dt(value: Any) -> Optional[datetime]:
if value in (None, ""):
return None
if isinstance(value, (int, float)):
return datetime.fromtimestamp(float(value), tz=timezone.utc)
if isinstance(value, str):
text = value.strip()
if not text:
return None
if text.endswith("Z"):
text = text[:-1] + "+00:00"
try:
dt = datetime.fromisoformat(text)
return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc)
except ValueError:
return None
return None
def _format_reset(dt: Optional[datetime]) -> str:
if not dt:
return "unknown"
local_dt = dt.astimezone()
delta = dt - _utc_now()
total_seconds = int(delta.total_seconds())
if total_seconds <= 0:
return f"now ({local_dt.strftime('%Y-%m-%d %H:%M %Z')})"
hours, rem = divmod(total_seconds, 3600)
minutes = rem // 60
if hours >= 24:
days, hours = divmod(hours, 24)
rel = f"in {days}d {hours}h"
elif hours > 0:
rel = f"in {hours}h {minutes}m"
else:
rel = f"in {minutes}m"
return f"{rel} ({local_dt.strftime('%Y-%m-%d %H:%M %Z')})"
def render_account_usage_lines(snapshot: Optional[AccountUsageSnapshot], *, markdown: bool = False) -> list[str]:
if not snapshot:
return []
header = f"📈 {'**' if markdown else ''}{snapshot.title}{'**' if markdown else ''}"
lines = [header]
if snapshot.plan:
lines.append(f"Provider: {snapshot.provider} ({snapshot.plan})")
else:
lines.append(f"Provider: {snapshot.provider}")
for window in snapshot.windows:
if window.used_percent is None:
base = f"{window.label}: unavailable"
else:
remaining = max(0, round(100 - float(window.used_percent)))
used = max(0, round(float(window.used_percent)))
base = f"{window.label}: {remaining}% remaining ({used}% used)"
if window.reset_at:
base += f" • resets {_format_reset(window.reset_at)}"
elif window.detail:
base += f"{window.detail}"
lines.append(base)
for detail in snapshot.details:
lines.append(detail)
if snapshot.unavailable_reason:
lines.append(f"Unavailable: {snapshot.unavailable_reason}")
return lines
def _resolve_codex_usage_url(base_url: str) -> str:
normalized = (base_url or "").strip().rstrip("/")
if not normalized:
normalized = "https://chatgpt.com/backend-api/codex"
if normalized.endswith("/codex"):
normalized = normalized[: -len("/codex")]
if "/backend-api" in normalized:
return normalized + "/wham/usage"
return normalized + "/api/codex/usage"
def _fetch_codex_account_usage() -> Optional[AccountUsageSnapshot]:
creds = resolve_codex_runtime_credentials(refresh_if_expiring=True)
token_data = _read_codex_tokens()
tokens = token_data.get("tokens") or {}
account_id = str(tokens.get("account_id", "") or "").strip() or None
headers = {
"Authorization": f"Bearer {creds['api_key']}",
"Accept": "application/json",
"User-Agent": "codex-cli",
}
if account_id:
headers["ChatGPT-Account-Id"] = account_id
with httpx.Client(timeout=15.0) as client:
response = client.get(_resolve_codex_usage_url(creds.get("base_url", "")), headers=headers)
response.raise_for_status()
payload = response.json() or {}
rate_limit = payload.get("rate_limit") or {}
windows: list[AccountUsageWindow] = []
for key, label in (("primary_window", "Session"), ("secondary_window", "Weekly")):
window = rate_limit.get(key) or {}
used = window.get("used_percent")
if used is None:
continue
windows.append(
AccountUsageWindow(
label=label,
used_percent=float(used),
reset_at=_parse_dt(window.get("reset_at")),
)
)
details: list[str] = []
credits = payload.get("credits") or {}
if credits.get("has_credits"):
balance = credits.get("balance")
if isinstance(balance, (int, float)):
details.append(f"Credits balance: ${float(balance):.2f}")
elif credits.get("unlimited"):
details.append("Credits balance: unlimited")
return AccountUsageSnapshot(
provider="openai-codex",
source="usage_api",
fetched_at=_utc_now(),
plan=_title_case_slug(payload.get("plan_type")),
windows=tuple(windows),
details=tuple(details),
)
def _fetch_anthropic_account_usage() -> Optional[AccountUsageSnapshot]:
token = (resolve_anthropic_token() or "").strip()
if not token:
return None
if not _is_oauth_token(token):
return AccountUsageSnapshot(
provider="anthropic",
source="oauth_usage_api",
fetched_at=_utc_now(),
unavailable_reason="Anthropic account limits are only available for OAuth-backed Claude accounts.",
)
headers = {
"Authorization": f"Bearer {token}",
"Accept": "application/json",
"Content-Type": "application/json",
"anthropic-beta": "oauth-2025-04-20",
"User-Agent": "claude-code/2.1.0",
}
with httpx.Client(timeout=15.0) as client:
response = client.get("https://api.anthropic.com/api/oauth/usage", headers=headers)
response.raise_for_status()
payload = response.json() or {}
windows: list[AccountUsageWindow] = []
mapping = (
("five_hour", "Current session"),
("seven_day", "Current week"),
("seven_day_opus", "Opus week"),
("seven_day_sonnet", "Sonnet week"),
)
for key, label in mapping:
window = payload.get(key) or {}
util = window.get("utilization")
if util is None:
continue
used = float(util) * 100 if float(util) <= 1 else float(util)
windows.append(
AccountUsageWindow(
label=label,
used_percent=used,
reset_at=_parse_dt(window.get("resets_at")),
)
)
details: list[str] = []
extra = payload.get("extra_usage") or {}
if extra.get("is_enabled"):
used_credits = extra.get("used_credits")
monthly_limit = extra.get("monthly_limit")
currency = extra.get("currency") or "USD"
if isinstance(used_credits, (int, float)) and isinstance(monthly_limit, (int, float)):
details.append(
f"Extra usage: {used_credits:.2f} / {monthly_limit:.2f} {currency}"
)
return AccountUsageSnapshot(
provider="anthropic",
source="oauth_usage_api",
fetched_at=_utc_now(),
windows=tuple(windows),
details=tuple(details),
)
def _fetch_openrouter_account_usage(base_url: Optional[str], api_key: Optional[str]) -> Optional[AccountUsageSnapshot]:
runtime = resolve_runtime_provider(
requested="openrouter",
explicit_base_url=base_url,
explicit_api_key=api_key,
)
token = str(runtime.get("api_key", "") or "").strip()
if not token:
return None
normalized = str(runtime.get("base_url", "") or "").rstrip("/")
credits_url = f"{normalized}/credits"
key_url = f"{normalized}/key"
headers = {
"Authorization": f"Bearer {token}",
"Accept": "application/json",
}
with httpx.Client(timeout=10.0) as client:
credits_resp = client.get(credits_url, headers=headers)
credits_resp.raise_for_status()
credits = (credits_resp.json() or {}).get("data") or {}
try:
key_resp = client.get(key_url, headers=headers)
key_resp.raise_for_status()
key_data = (key_resp.json() or {}).get("data") or {}
except Exception:
key_data = {}
total_credits = float(credits.get("total_credits") or 0.0)
total_usage = float(credits.get("total_usage") or 0.0)
details = [f"Credits balance: ${max(0.0, total_credits - total_usage):.2f}"]
windows: list[AccountUsageWindow] = []
limit = key_data.get("limit")
limit_remaining = key_data.get("limit_remaining")
limit_reset = str(key_data.get("limit_reset") or "").strip()
usage = key_data.get("usage")
if (
isinstance(limit, (int, float))
and float(limit) > 0
and isinstance(limit_remaining, (int, float))
and 0 <= float(limit_remaining) <= float(limit)
):
limit_value = float(limit)
remaining_value = float(limit_remaining)
used_percent = ((limit_value - remaining_value) / limit_value) * 100
detail_parts = [f"${remaining_value:.2f} of ${limit_value:.2f} remaining"]
if limit_reset:
detail_parts.append(f"resets {limit_reset}")
windows.append(
AccountUsageWindow(
label="API key quota",
used_percent=used_percent,
detail="".join(detail_parts),
)
)
if isinstance(usage, (int, float)):
usage_parts = [f"API key usage: ${float(usage):.2f} total"]
for value, label in (
(key_data.get("usage_daily"), "today"),
(key_data.get("usage_weekly"), "this week"),
(key_data.get("usage_monthly"), "this month"),
):
if isinstance(value, (int, float)) and float(value) > 0:
usage_parts.append(f"${float(value):.2f} {label}")
details.append("".join(usage_parts))
return AccountUsageSnapshot(
provider="openrouter",
source="credits_api",
fetched_at=_utc_now(),
windows=tuple(windows),
details=tuple(details),
)
def fetch_account_usage(
provider: Optional[str],
*,
base_url: Optional[str] = None,
api_key: Optional[str] = None,
) -> Optional[AccountUsageSnapshot]:
normalized = str(provider or "").strip().lower()
if normalized in {"", "auto", "custom"}:
return None
try:
if normalized == "openai-codex":
return _fetch_codex_account_usage()
if normalized == "anthropic":
return _fetch_anthropic_account_usage()
if normalized == "openrouter":
return _fetch_openrouter_account_usage(base_url, api_key)
except Exception:
return None
return None

25
cli.py
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@@ -13,6 +13,7 @@ Usage:
python cli.py --list-tools # List available tools and exit
"""
import concurrent.futures
import logging
import os
import shutil
@@ -63,6 +64,7 @@ from agent.usage_pricing import (
format_duration_compact,
format_token_count_compact,
)
from agent.account_usage import fetch_account_usage, render_account_usage_lines
from hermes_cli.banner import _format_context_length, format_banner_version_label
_COMMAND_SPINNER_FRAMES = ("", "", "", "", "", "", "", "", "", "")
@@ -6471,6 +6473,29 @@ class HermesCLI:
if cost_result.status == "unknown":
print(f" Note: Pricing unknown for {agent.model}")
# Account limits -- fetched off-thread with a hard timeout so slow
# provider APIs don't hang the prompt.
provider = getattr(agent, "provider", None) or getattr(self, "provider", None)
base_url = getattr(agent, "base_url", None) or getattr(self, "base_url", None)
api_key = getattr(agent, "api_key", None) or getattr(self, "api_key", None)
account_snapshot = None
if provider:
with concurrent.futures.ThreadPoolExecutor(max_workers=1) as _pool:
try:
account_snapshot = _pool.submit(
fetch_account_usage,
provider,
base_url=base_url,
api_key=api_key,
).result(timeout=10.0)
except (concurrent.futures.TimeoutError, Exception):
account_snapshot = None
account_lines = [f" {line}" for line in render_account_usage_lines(account_snapshot)]
if account_lines:
print()
for line in account_lines:
print(line)
if self.verbose:
logging.getLogger().setLevel(logging.DEBUG)
for noisy in ('openai', 'openai._base_client', 'httpx', 'httpcore', 'asyncio', 'hpack', 'grpc', 'modal'):

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@@ -1,100 +0,0 @@
# Issue #954 Verification — maps skill guest_house / camp_site / bakery
Status: PASS
## Drift noted
Issue #954 asked for validation on `upstream/main` (commit `c5a814b23`).
Fresh `forge/main` did not contain `skills/productivity/maps/`, so the forge branch was behind upstream for this feature cluster.
This branch ports the upstream maps skill files into the forge checkout and adds regression coverage.
## Automated verification
Command:
```bash
pytest -q tests/skills/test_maps_client.py
```
Result:
- 5 passed
Coverage added:
- maps skill files exist in the repo
- `guest_house` category maps to `tourism=guest_house`
- `camp_site` category maps to `tourism=camp_site`
- `bakery` expands to both `shop=bakery` and `amenity=bakery`
- dual-key bakery results dedupe correctly
- skill documentation lists the new categories and supersedes `find-nearby`
## Manual evidence
### 1) guest_house lookup
Command:
```bash
python3 skills/productivity/maps/scripts/maps_client.py nearby --near "Bath, United Kingdom" --category guest_house --limit 3
```
Observed results:
- Henrietta House — 390.3 m
- The Windsor — 437.2 m
- The Old Rectory Bed & Breakfast — 495.7 m
All returned `tourism=guest_house` in the raw tags.
### 2) camp_site lookup
Command:
```bash
python3 skills/productivity/maps/scripts/maps_client.py nearby --near "Yosemite Valley, California" --category camp_site --limit 5
```
Observed result:
- Yellow Pine Administrative Campground — 90.3 m
Returned `tourism=camp_site` in the raw tags.
### 3) bakery lookup via `shop=bakery`
Command:
```bash
python3 skills/productivity/maps/scripts/maps_client.py nearby --near "Lawrenceville, New Jersey" --category bakery --radius 5000 --limit 10
```
Observed results:
- The Gingered Peach — 713.8 m
- WildFlour Bakery — 741.9 m
Both returned `shop=bakery` in the raw tags.
### 4) bakery lookup via `amenity=bakery`
Command:
```bash
python3 skills/productivity/maps/scripts/maps_client.py nearby --near "20735 Stevens Creek Boulevard, Cupertino, CA" --category bakery --radius 600 --limit 5
```
Observed result:
- Paris Baguette — 28.6 m
Returned `amenity=bakery` in the raw tags (and also includes `shop=bakery`), proving the dual-key union query reaches amenity-tagged bakeries too.
## Conclusion
PASS.
- `guest_house` resolves correctly
- `camp_site` resolves correctly
- `bakery` resolves through both supported keys
- forge/main drift from upstream/main was real and is addressed on this branch

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@@ -28,6 +28,8 @@ from pathlib import Path
from datetime import datetime
from typing import Dict, Optional, Any, List
from agent.account_usage import fetch_account_usage, render_account_usage_lines
# ---------------------------------------------------------------------------
# SSL certificate auto-detection for NixOS and other non-standard systems.
# Must run BEFORE any HTTP library (discord, aiohttp, etc.) is imported.
@@ -6481,6 +6483,38 @@ class GatewayRunner:
if cached:
agent = cached[0]
# Resolve provider/base_url/api_key for the account-usage fetch.
# Prefer the live agent; fall back to persisted billing data on the
# SessionDB row so `/usage` still returns account info between turns
# when no agent is resident.
provider = getattr(agent, "provider", None) if agent and agent is not _AGENT_PENDING_SENTINEL else None
base_url = getattr(agent, "base_url", None) if agent and agent is not _AGENT_PENDING_SENTINEL else None
api_key = getattr(agent, "api_key", None) if agent and agent is not _AGENT_PENDING_SENTINEL else None
if not provider and getattr(self, "_session_db", None) is not None:
try:
_entry_for_billing = self.session_store.get_or_create_session(source)
persisted = self._session_db.get_session(_entry_for_billing.session_id) or {}
except Exception:
persisted = {}
provider = provider or persisted.get("billing_provider")
base_url = base_url or persisted.get("billing_base_url")
# Fetch account usage off the event loop so slow provider APIs don't
# block the gateway. Failures are non-fatal -- account_lines stays [].
account_lines: list[str] = []
if provider:
try:
account_snapshot = await asyncio.to_thread(
fetch_account_usage,
provider,
base_url=base_url,
api_key=api_key,
)
except Exception:
account_snapshot = None
if account_snapshot:
account_lines = render_account_usage_lines(account_snapshot, markdown=True)
if agent and hasattr(agent, "session_total_tokens") and agent.session_api_calls > 0:
lines = []
@@ -6538,6 +6572,10 @@ class GatewayRunner:
if ctx.compression_count:
lines.append(f"Compressions: {ctx.compression_count}")
if account_lines:
lines.append("")
lines.extend(account_lines)
return "\n".join(lines)
# No agent at all -- check session history for a rough count
@@ -6547,12 +6585,18 @@ class GatewayRunner:
from agent.model_metadata import estimate_messages_tokens_rough
msgs = [m for m in history if m.get("role") in ("user", "assistant") and m.get("content")]
approx = estimate_messages_tokens_rough(msgs)
return (
f"📊 **Session Info**\n"
f"Messages: {len(msgs)}\n"
f"Estimated context: ~{approx:,} tokens\n"
f"_(Detailed usage available after the first agent response)_"
)
lines = [
"📊 **Session Info**",
f"Messages: {len(msgs)}",
f"Estimated context: ~{approx:,} tokens",
"_(Detailed usage available after the first agent response)_",
]
if account_lines:
lines.append("")
lines.extend(account_lines)
return "\n".join(lines)
if account_lines:
return "\n".join(account_lines)
return "No usage data available for this session."
async def _handle_insights_command(self, event: MessageEvent) -> str:

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@@ -1,199 +0,0 @@
---
name: maps
description: >
Location intelligence — geocode a place, reverse-geocode coordinates,
find nearby places (46 POI categories), driving/walking/cycling
distance + time, turn-by-turn directions, timezone lookup, bounding
box + area for a named place, and POI search within a rectangle.
Uses OpenStreetMap + Overpass + OSRM. Free, no API key.
version: 1.2.0
author: Mibayy
license: MIT
metadata:
hermes:
tags: [maps, geocoding, places, routing, distance, directions, nearby, location, openstreetmap, nominatim, overpass, osrm]
category: productivity
requires_toolsets: [terminal]
supersedes: [find-nearby]
---
# Maps Skill
Location intelligence using free, open data sources. 8 commands, 44 POI
categories, zero dependencies (Python stdlib only), no API key required.
Data sources: OpenStreetMap/Nominatim, Overpass API, OSRM, TimeAPI.io.
This skill supersedes the old `find-nearby` skill — all of find-nearby's
functionality is covered by the `nearby` command below, with the same
`--near "<place>"` shortcut and multi-category support.
## When to Use
- User sends a Telegram location pin (latitude/longitude in the message) → `nearby`
- User wants coordinates for a place name → `search`
- User has coordinates and wants the address → `reverse`
- User asks for nearby restaurants, hospitals, pharmacies, hotels, etc. → `nearby`
- User wants driving/walking/cycling distance or travel time → `distance`
- User wants turn-by-turn directions between two places → `directions`
- User wants timezone information for a location → `timezone`
- User wants to search for POIs within a geographic area → `area` + `bbox`
## Prerequisites
Python 3.8+ (stdlib only — no pip installs needed).
Script path: `~/.hermes/skills/maps/scripts/maps_client.py`
## Commands
```bash
MAPS=~/.hermes/skills/maps/scripts/maps_client.py
```
### search — Geocode a place name
```bash
python3 $MAPS search "Eiffel Tower"
python3 $MAPS search "1600 Pennsylvania Ave, Washington DC"
```
Returns: lat, lon, display name, type, bounding box, importance score.
### reverse — Coordinates to address
```bash
python3 $MAPS reverse 48.8584 2.2945
```
Returns: full address breakdown (street, city, state, country, postcode).
### nearby — Find places by category
```bash
# By coordinates (from a Telegram location pin, for example)
python3 $MAPS nearby 48.8584 2.2945 restaurant --limit 10
python3 $MAPS nearby 40.7128 -74.0060 hospital --radius 2000
# By address / city / zip / landmark — --near auto-geocodes
python3 $MAPS nearby --near "Times Square, New York" --category cafe
python3 $MAPS nearby --near "90210" --category pharmacy
# Multiple categories merged into one query
python3 $MAPS nearby --near "downtown austin" --category restaurant --category bar --limit 10
```
46 categories: restaurant, cafe, bar, hospital, pharmacy, hotel, guest_house,
camp_site, supermarket, atm, gas_station, parking, museum, park, school,
university, bank, police, fire_station, library, airport, train_station,
bus_stop, church, mosque, synagogue, dentist, doctor, cinema, theatre, gym,
swimming_pool, post_office, convenience_store, bakery, bookshop, laundry,
car_wash, car_rental, bicycle_rental, taxi, veterinary, zoo, playground,
stadium, nightclub.
Each result includes: `name`, `address`, `lat`/`lon`, `distance_m`,
`maps_url` (clickable Google Maps link), `directions_url` (Google Maps
directions from the search point), and promoted tags when available —
`cuisine`, `hours` (opening_hours), `phone`, `website`.
### distance — Travel distance and time
```bash
python3 $MAPS distance "Paris" --to "Lyon"
python3 $MAPS distance "New York" --to "Boston" --mode driving
python3 $MAPS distance "Big Ben" --to "Tower Bridge" --mode walking
```
Modes: driving (default), walking, cycling. Returns road distance, duration,
and straight-line distance for comparison.
### directions — Turn-by-turn navigation
```bash
python3 $MAPS directions "Eiffel Tower" --to "Louvre Museum" --mode walking
python3 $MAPS directions "JFK Airport" --to "Times Square" --mode driving
```
Returns numbered steps with instruction, distance, duration, road name, and
maneuver type (turn, depart, arrive, etc.).
### timezone — Timezone for coordinates
```bash
python3 $MAPS timezone 48.8584 2.2945
python3 $MAPS timezone 35.6762 139.6503
```
Returns timezone name, UTC offset, and current local time.
### area — Bounding box and area for a place
```bash
python3 $MAPS area "Manhattan, New York"
python3 $MAPS area "London"
```
Returns bounding box coordinates, width/height in km, and approximate area.
Useful as input for the bbox command.
### bbox — Search within a bounding box
```bash
python3 $MAPS bbox 40.75 -74.00 40.77 -73.98 restaurant --limit 20
```
Finds POIs within a geographic rectangle. Use `area` first to get the
bounding box coordinates for a named place.
## Working With Telegram Location Pins
When a user sends a location pin, the message contains `latitude:` and
`longitude:` fields. Extract those and pass them straight to `nearby`:
```bash
# User sent a pin at 36.17, -115.14 and asked "find cafes nearby"
python3 $MAPS nearby 36.17 -115.14 cafe --radius 1500
```
Present results as a numbered list with names, distances, and the
`maps_url` field so the user gets a tap-to-open link in chat. For "open
now?" questions, check the `hours` field; if missing or unclear, verify
with `web_search` since OSM hours are community-maintained and not always
current.
## Workflow Examples
**"Find Italian restaurants near the Colosseum":**
1. `nearby --near "Colosseum Rome" --category restaurant --radius 500`
— one command, auto-geocoded
**"What's near this location pin they sent?":**
1. Extract lat/lon from the Telegram message
2. `nearby LAT LON cafe --radius 1500`
**"How do I walk from hotel to conference center?":**
1. `directions "Hotel Name" --to "Conference Center" --mode walking`
**"What restaurants are in downtown Seattle?":**
1. `area "Downtown Seattle"` → get bounding box
2. `bbox S W N E restaurant --limit 30`
## Pitfalls
- Nominatim ToS: max 1 req/s (handled automatically by the script)
- `nearby` requires lat/lon OR `--near "<address>"` — one of the two is needed
- OSRM routing coverage is best for Europe and North America
- Overpass API can be slow during peak hours; the script automatically
falls back between mirrors (overpass-api.de → overpass.kumi.systems)
- `distance` and `directions` use `--to` flag for the destination (not positional)
- If a zip code alone gives ambiguous results globally, include country/state
## Verification
```bash
python3 ~/.hermes/skills/maps/scripts/maps_client.py search "Statue of Liberty"
# Should return lat ~40.689, lon ~-74.044
python3 ~/.hermes/skills/maps/scripts/maps_client.py nearby --near "Times Square" --category restaurant --limit 3
# Should return a list of restaurants within ~500m of Times Square
```

File diff suppressed because it is too large Load Diff

View File

@@ -175,3 +175,79 @@ class TestUsageCachedAgent:
result = await runner._handle_usage_command(event)
assert "Cost: included" in result
class TestUsageAccountSection:
"""Account-limits section appended to /usage output."""
@pytest.mark.asyncio
async def test_usage_command_includes_account_section(self, monkeypatch):
agent = _make_mock_agent(provider="openai-codex")
agent.base_url = "https://chatgpt.com/backend-api/codex"
agent.api_key = "unused"
runner = _make_runner(SK, cached_agent=agent)
event = MagicMock()
monkeypatch.setattr(
"gateway.run.fetch_account_usage",
lambda provider, base_url=None, api_key=None: object(),
)
monkeypatch.setattr(
"gateway.run.render_account_usage_lines",
lambda snapshot, markdown=False: [
"📈 **Account limits**",
"Provider: openai-codex (Pro)",
"Session: 85% remaining (15% used)",
],
)
with patch("agent.rate_limit_tracker.format_rate_limit_compact", return_value="RPM: 50/60"), \
patch("agent.usage_pricing.estimate_usage_cost") as mock_cost:
mock_cost.return_value = MagicMock(amount_usd=None, status="included")
result = await runner._handle_usage_command(event)
assert "📊 **Session Token Usage**" in result
assert "📈 **Account limits**" in result
assert "Provider: openai-codex (Pro)" in result
@pytest.mark.asyncio
async def test_usage_command_uses_persisted_provider_when_agent_not_running(self, monkeypatch):
runner = _make_runner(SK)
runner._session_db = MagicMock()
runner._session_db.get_session.return_value = {
"billing_provider": "openai-codex",
"billing_base_url": "https://chatgpt.com/backend-api/codex",
}
session_entry = MagicMock()
session_entry.session_id = "sess-1"
runner.session_store.get_or_create_session.return_value = session_entry
runner.session_store.load_transcript.return_value = [
{"role": "user", "content": "earlier"},
]
calls = {}
async def _fake_to_thread(fn, *args, **kwargs):
calls["args"] = args
calls["kwargs"] = kwargs
return fn(*args, **kwargs)
monkeypatch.setattr("gateway.run.asyncio.to_thread", _fake_to_thread)
monkeypatch.setattr(
"gateway.run.fetch_account_usage",
lambda provider, base_url=None, api_key=None: object(),
)
monkeypatch.setattr(
"gateway.run.render_account_usage_lines",
lambda snapshot, markdown=False: [
"📈 **Account limits**",
"Provider: openai-codex (Pro)",
],
)
event = MagicMock()
result = await runner._handle_usage_command(event)
assert calls["args"] == ("openai-codex",)
assert calls["kwargs"]["base_url"] == "https://chatgpt.com/backend-api/codex"
assert "📊 **Session Info**" in result
assert "📈 **Account limits**" in result

View File

@@ -1,135 +0,0 @@
"""Regression tests for the bundled maps skill."""
from __future__ import annotations
import importlib.util
from pathlib import Path
from types import SimpleNamespace
SCRIPT_PATH = (
Path(__file__).resolve().parents[2]
/ "skills/productivity/maps/scripts/maps_client.py"
)
SKILL_PATH = (
Path(__file__).resolve().parents[2]
/ "skills/productivity/maps/SKILL.md"
)
def load_module():
assert SCRIPT_PATH.exists(), f"missing maps client script: {SCRIPT_PATH}"
spec = importlib.util.spec_from_file_location("maps_client_test", SCRIPT_PATH)
module = importlib.util.module_from_spec(spec)
assert spec.loader is not None
spec.loader.exec_module(module)
return module
def test_maps_skill_files_exist():
assert SCRIPT_PATH.exists()
assert SKILL_PATH.exists()
def test_category_tags_cover_guest_house_camp_site_and_dual_key_bakery():
module = load_module()
assert module.CATEGORY_TAGS["guest_house"] == ("tourism", "guest_house")
assert module.CATEGORY_TAGS["camp_site"] == ("tourism", "camp_site")
assert module.CATEGORY_TAGS["bakery"] == [
("shop", "bakery"),
("amenity", "bakery"),
]
assert module._tags_for("bakery") == [
("shop", "bakery"),
("amenity", "bakery"),
]
def test_build_overpass_queries_include_all_supported_tags():
module = load_module()
bakery_query = module.build_overpass_nearby(
None,
None,
40.0,
-74.0,
500,
10,
tag_pairs=module._tags_for("bakery"),
)
assert 'node["shop"="bakery"]' in bakery_query
assert 'way["shop"="bakery"]' in bakery_query
assert 'node["amenity"="bakery"]' in bakery_query
assert 'way["amenity"="bakery"]' in bakery_query
guest_house_query = module.build_overpass_nearby(
None,
None,
40.0,
-74.0,
500,
10,
tag_pairs=module._tags_for("guest_house"),
)
assert 'node["tourism"="guest_house"]' in guest_house_query
assert 'way["tourism"="guest_house"]' in guest_house_query
camp_site_bbox = module.build_overpass_bbox(
None,
None,
39.0,
-75.0,
41.0,
-73.0,
10,
tag_pairs=module._tags_for("camp_site"),
)
assert 'node["tourism"="camp_site"]' in camp_site_bbox
assert 'way["tourism"="camp_site"]' in camp_site_bbox
def test_cmd_nearby_dedupes_dual_tag_bakery_results(monkeypatch, capsys):
module = load_module()
duplicate_bakery = {
"elements": [
{
"type": "node",
"id": 101,
"lat": 40.0,
"lon": -74.0,
"tags": {"name": "Wild Flour", "shop": "bakery"},
},
{
"type": "node",
"id": 101,
"lat": 40.0,
"lon": -74.0,
"tags": {"name": "Wild Flour", "amenity": "bakery"},
},
]
}
monkeypatch.setattr(module, "overpass_query", lambda query: duplicate_bakery)
args = SimpleNamespace(
lat="40.0",
lon="-74.0",
near=None,
category="bakery",
category_list=[],
radius=500,
limit=10,
)
module.cmd_nearby(args)
out = capsys.readouterr().out
assert '"count": 1' in out
assert '"Wild Flour"' in out
def test_skill_doc_lists_new_categories_and_supersession():
text = SKILL_PATH.read_text(encoding="utf-8")
assert "guest_house" in text
assert "camp_site" in text
assert "bakery" in text
assert "supersedes: [find-nearby]" in text

203
tests/test_account_usage.py Normal file
View File

@@ -0,0 +1,203 @@
from datetime import datetime, timezone
from agent.account_usage import (
AccountUsageSnapshot,
AccountUsageWindow,
fetch_account_usage,
render_account_usage_lines,
)
class _Response:
def __init__(self, payload, status_code=200):
self._payload = payload
self.status_code = status_code
def raise_for_status(self):
if self.status_code >= 400:
raise RuntimeError(f"HTTP {self.status_code}")
def json(self):
return self._payload
class _Client:
def __init__(self, payload):
self._payload = payload
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
def get(self, url, headers=None):
return _Response(self._payload)
class _RoutingClient:
def __init__(self, payloads):
self._payloads = payloads
def __enter__(self):
return self
def __exit__(self, exc_type, exc, tb):
return False
def get(self, url, headers=None):
return _Response(self._payloads[url])
def test_fetch_account_usage_codex(monkeypatch):
monkeypatch.setattr(
"agent.account_usage.resolve_codex_runtime_credentials",
lambda refresh_if_expiring=True: {
"provider": "openai-codex",
"base_url": "https://chatgpt.com/backend-api/codex",
"api_key": "***",
},
)
monkeypatch.setattr(
"agent.account_usage._read_codex_tokens",
lambda: {"tokens": {"account_id": "acct_123"}},
)
monkeypatch.setattr(
"agent.account_usage.httpx.Client",
lambda timeout=15.0: _Client(
{
"plan_type": "pro",
"rate_limit": {
"primary_window": {
"used_percent": 15,
"reset_at": 1_900_000_000,
"limit_window_seconds": 18000,
},
"secondary_window": {
"used_percent": 40,
"reset_at": 1_900_500_000,
"limit_window_seconds": 604800,
},
},
"credits": {"has_credits": True, "balance": 12.5},
}
),
)
snapshot = fetch_account_usage("openai-codex")
assert snapshot is not None
assert snapshot.plan == "Pro"
assert len(snapshot.windows) == 2
assert snapshot.windows[0].label == "Session"
assert snapshot.windows[0].used_percent == 15.0
assert snapshot.windows[0].reset_at == datetime.fromtimestamp(1_900_000_000, tz=timezone.utc)
assert "Credits balance: $12.50" in snapshot.details
def test_render_account_usage_lines_includes_reset_and_provider():
snapshot = AccountUsageSnapshot(
provider="openai-codex",
source="usage_api",
fetched_at=datetime.now(timezone.utc),
plan="Pro",
windows=(
AccountUsageWindow(
label="Session",
used_percent=25,
reset_at=datetime.now(timezone.utc),
),
),
details=("Credits balance: $9.99",),
)
lines = render_account_usage_lines(snapshot)
assert lines[0] == "📈 Account limits"
assert "openai-codex (Pro)" in lines[1]
assert "Session: 75% remaining (25% used)" in lines[2]
assert "Credits balance: $9.99" in lines[3]
def test_fetch_account_usage_openrouter_uses_limit_remaining_and_ignores_deprecated_rate_limit(monkeypatch):
monkeypatch.setattr(
"agent.account_usage.resolve_runtime_provider",
lambda requested, explicit_base_url=None, explicit_api_key=None: {
"provider": "openrouter",
"base_url": "https://openrouter.ai/api/v1",
"api_key": "***",
},
)
monkeypatch.setattr(
"agent.account_usage.httpx.Client",
lambda timeout=10.0: _RoutingClient(
{
"https://openrouter.ai/api/v1/credits": {
"data": {"total_credits": 300.0, "total_usage": 10.92}
},
"https://openrouter.ai/api/v1/key": {
"data": {
"limit": 100.0,
"limit_remaining": 70.0,
"limit_reset": "monthly",
"usage": 12.5,
"usage_daily": 0.5,
"usage_weekly": 2.0,
"usage_monthly": 8.0,
"rate_limit": {"requests": -1, "interval": "10s"},
}
},
}
),
)
snapshot = fetch_account_usage("openrouter")
assert snapshot is not None
assert snapshot.windows == (
AccountUsageWindow(
label="API key quota",
used_percent=30.0,
detail="$70.00 of $100.00 remaining • resets monthly",
),
)
assert "Credits balance: $289.08" in snapshot.details
assert "API key usage: $12.50 total • $0.50 today • $2.00 this week • $8.00 this month" in snapshot.details
assert all("-1 requests / 10s" not in line for line in render_account_usage_lines(snapshot))
def test_fetch_account_usage_openrouter_omits_quota_window_when_key_has_no_limit(monkeypatch):
monkeypatch.setattr(
"agent.account_usage.resolve_runtime_provider",
lambda requested, explicit_base_url=None, explicit_api_key=None: {
"provider": "openrouter",
"base_url": "https://openrouter.ai/api/v1",
"api_key": "***",
},
)
monkeypatch.setattr(
"agent.account_usage.httpx.Client",
lambda timeout=10.0: _RoutingClient(
{
"https://openrouter.ai/api/v1/credits": {
"data": {"total_credits": 100.0, "total_usage": 25.5}
},
"https://openrouter.ai/api/v1/key": {
"data": {
"limit": None,
"limit_remaining": None,
"usage": 25.5,
"usage_daily": 1.25,
"usage_weekly": 4.5,
"usage_monthly": 18.0,
}
},
}
),
)
snapshot = fetch_account_usage("openrouter")
assert snapshot is not None
assert snapshot.windows == ()
assert "Credits balance: $74.50" in snapshot.details
assert "API key usage: $25.50 total • $1.25 today • $4.50 this week • $18.00 this month" in snapshot.details