Files
omarchycn/bin/omarchy-agent-usage-codex
T
77cf58ccfe Add Fireworks balance usage panel (#6488)
* Add a Fireworks balance collector and teach the agents panel prepaid ledgers

The omarchy-agent-usage-fireworks collector reads serverless token usage
from the Fireworks billing API, grouped by day and model for the last 30
days, and reshapes it into the shared record contract. Fireworks does not
expose its prepaid ledger through the documented API, so the record carries
an estimated balance instead of rate limits: credits configured in
~/.config/omarchy/agents/fireworks.json minus rated account costs since the
funding date. Credentials come from FIREWORKS_API_KEY/FIREWORKS_ACCOUNT_ID,
the auth.ini that firectl set-api-key writes, or — last, so an explicit
login wins — the key opencode stores for its fireworks-ai provider.

The panel gains two generic capabilities any agent record can use: a
balance object draws a BALANCE section — remaining credit, a fuel-gauge
meter that drains toward empty and lights the bar alarm below 10%, and
funded-versus-spent detail — and hasPromptStats: false keeps prompt and
session counts out of today's tooltip for agents whose billing API only
ever reports tokens, on this machine and through synced snapshots.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* Feed Claude and Codex usage from pi, omp, and opencode sessions

A subscription burned entirely through another coding agent leaves no
native Claude Code transcripts and no Codex session files, so the panel
showed nothing for it. pi and omp write compatible JSONL sessions, and
opencode records per-message provider, model, and token usage in its
message database; the claude and codex collectors now scan all three —
filtered to Anthropic and OpenAI providers respectively — and merge those
numbers into their local stats. Fireworks stays out on purpose: its billing
API already sees that traffic server-side, and a local scan would count the
same tokens twice.

The collector tests pin XDG_DATA_HOME so a developer's real opencode
history cannot leak into fixture runs.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-08-07 23:49:43 +02:00

432 lines
14 KiB
Python
Executable File

#!/usr/bin/python3
# omarchy:summary=Print the Codex usage record as JSON
# omarchy:args=[--force] [--limits-only]
# omarchy:hidden=true
"""Collect Codex usage into one display-ready JSON record.
Local stats come from native Codex CLI session files, pi/omp sessions that
ran through openai-codex, and opencode sessions that ran on an OpenAI
provider; rate limits and the plan come from the Codex app-server RPC. The agents
panel only ever reads the JSON this prints.
"""
import argparse
import json
import os
import select
import shutil
import sqlite3
import subprocess
import time
from datetime import datetime, timedelta, timezone
from pathlib import Path
AGENT_ID = "codex"
AGENT_NAME = "Codex"
AUTH_HELP = "Run `codex login` to authenticate."
def local_day(value):
if value is None:
return datetime.now().strftime("%Y-%m-%d")
if isinstance(value, (int, float)):
# pi message timestamps are milliseconds; Codex timestamps are usually seconds.
if value > 10_000_000_000:
value = value / 1000
return datetime.fromtimestamp(value).strftime("%Y-%m-%d")
text = str(value)
try:
if text.endswith("Z"):
dt = datetime.fromisoformat(text[:-1] + "+00:00")
else:
dt = datetime.fromisoformat(text)
if dt.tzinfo is not None:
dt = dt.astimezone()
return dt.strftime("%Y-%m-%d")
except Exception:
return datetime.now().strftime("%Y-%m-%d")
def number(value):
try:
return int(value or 0)
except Exception:
return 0
def model_name(raw):
value = str(raw or "codex")
return value if value else "codex"
def runtime_env():
home = str(Path.home())
path_parts = [
os.environ.get("PATH", ""),
f"{home}/.local/bin",
f"{home}/.npm-global/bin",
f"{home}/.local/share/mise/shims",
]
env = os.environ.copy()
env["PATH"] = os.pathsep.join(part for part in path_parts if part)
return env
ENV = runtime_env()
def find_command(name):
return shutil.which(name, path=ENV.get("PATH"))
now = datetime.now()
today = now.strftime("%Y-%m-%d")
recent_dates = [(now - timedelta(days=offset)).strftime("%Y-%m-%d") for offset in range(6, -1, -1)]
recent = {day: {"date": day, "messageCount": 0} for day in recent_dates}
today_tokens_by_model = {}
model_usage = {}
today_sessions = set()
active_days = set()
today_prompts = 0
today_total_tokens = 0
total_prompts = 0
total_sessions = set()
seen_pi_messages = set()
def add_usage(day, session_key, model, input_tokens, output_tokens, cache_read, cache_write):
global today_prompts, today_total_tokens, total_prompts
total = input_tokens + output_tokens + cache_read + cache_write
total_prompts += 1
total_sessions.add(session_key)
active_days.add(day)
bucket = model_usage.setdefault(model, {
"inputTokens": 0,
"outputTokens": 0,
"cacheReadInputTokens": 0,
"cacheCreationInputTokens": 0,
})
bucket["inputTokens"] += input_tokens
bucket["outputTokens"] += output_tokens
bucket["cacheReadInputTokens"] += cache_read
bucket["cacheCreationInputTokens"] += cache_write
if day in recent:
recent[day]["messageCount"] += total
if day == today:
today_prompts += 1
today_sessions.add(session_key)
today_total_tokens += total
today_tokens_by_model[model] = today_tokens_by_model.get(model, 0) + total
def scan_pi_sessions():
roots = [
Path.home() / ".pi" / "agent" / "sessions",
Path.home() / ".omp" / "agent" / "sessions",
]
rg = find_command("rg") or "rg"
for root in roots:
if not root.exists():
continue
try:
proc = subprocess.Popen(
[rg, "--json", "-e", r'"provider"\s*:\s*"openai-codex"', "-e", r'"api"\s*:\s*"openai-codex', str(root)],
stdout=subprocess.PIPE,
stderr=subprocess.DEVNULL,
text=True,
errors="replace",
env=ENV,
)
except FileNotFoundError:
return
assert proc.stdout is not None
for raw in proc.stdout:
try:
event = json.loads(raw)
if event.get("type") != "match":
continue
line = event.get("data", {}).get("lines", {}).get("text", "")
path = event.get("data", {}).get("path", {}).get("text", "pi-session")
entry = json.loads(line)
except Exception:
continue
if entry.get("type") != "message":
continue
message_key = path + ":" + str(entry.get("id") or "")
if message_key in seen_pi_messages:
continue
seen_pi_messages.add(message_key)
message = entry.get("message") or {}
if message.get("role") != "assistant":
continue
provider = str(message.get("provider") or "")
api = str(message.get("api") or "")
if provider != "openai-codex" and not api.startswith("openai-codex"):
continue
usage = message.get("usage") or {}
if not usage:
continue
total = number(usage.get("totalTokens"))
input_tokens = number(usage.get("input"))
output_tokens = number(usage.get("output"))
cache_read = number(usage.get("cacheRead"))
cache_write = number(usage.get("cacheWrite"))
if total and not (input_tokens or output_tokens or cache_read or cache_write):
input_tokens = total
if not (input_tokens or output_tokens or cache_read or cache_write):
continue
day = local_day(entry.get("timestamp") or message.get("timestamp"))
session_key = path
add_usage(day, session_key, model_name(message.get("model")), input_tokens, output_tokens, cache_read, cache_write)
try:
proc.wait(timeout=1)
except Exception:
proc.kill()
def scan_opencode_sessions():
# A subscription burned entirely through opencode leaves no native session
# files, but opencode records per-message provider, model, and token usage
# in its own database. Read-only: opencode may be writing right now.
db = Path(os.environ.get("XDG_DATA_HOME") or (Path.home() / ".local" / "share")) / "opencode" / "opencode.db"
if not db.is_file():
return
try:
conn = sqlite3.connect(db.resolve().as_uri() + "?mode=ro", uri=True, timeout=2)
except sqlite3.Error:
return
try:
conn.execute("PRAGMA query_only = ON")
for session_id, raw in conn.execute("SELECT session_id, data FROM message"):
# One malformed row must not abort the scan, so every shape assumption
# lives inside the try.
try:
entry = json.loads(raw)
# Exact match: opencode provider ids are free-form, and a custom
# "openai-local" gateway is not this subscription.
if not isinstance(entry, dict) or entry.get("role") != "assistant":
continue
if str(entry.get("providerID") or "") != "openai":
continue
tokens = entry.get("tokens") or {}
cache = tokens.get("cache") or {}
input_tokens = number(tokens.get("input"))
# opencode keeps thinking tokens out of output; both are generated.
output_tokens = number(tokens.get("output")) + number(tokens.get("reasoning"))
cache_read = number(cache.get("read"))
cache_write = number(cache.get("write"))
if not (input_tokens or output_tokens or cache_read or cache_write):
continue
day = local_day((entry.get("time") or {}).get("created"))
model = model_name(str(entry.get("modelID") or "").rstrip("/").split("/")[-1])
except Exception:
continue
add_usage(day, "opencode:" + str(session_id), model, input_tokens, output_tokens, cache_read, cache_write)
except sqlite3.Error:
pass
finally:
conn.close()
def scan_native_codex_sessions():
codex_home = Path(os.environ.get("CODEX_HOME") or (Path.home() / ".codex"))
roots = [codex_home / "sessions", codex_home / "archived_sessions"]
files = []
cutoff = time.time() - 30 * 24 * 60 * 60
for root in roots:
if not root.exists():
continue
for path in root.rglob("*.jsonl"):
try:
if path.stat().st_mtime >= cutoff:
files.append(path)
except OSError:
pass
for path in files:
current_model = "codex"
try:
with path.open(errors="replace") as handle:
for raw in handle:
try:
entry = json.loads(raw)
except Exception:
continue
if entry.get("type") == "turn_context":
payload = entry.get("payload") or {}
current_model = model_name(payload.get("model") or payload.get("model_slug") or current_model)
continue
payload = entry.get("payload") or entry
if entry.get("type") == "response_item" and isinstance(payload, dict):
payload = payload.get("payload") or payload
if not isinstance(payload, dict):
continue
if payload.get("type") != "token_count":
continue
info = payload.get("info") or {}
# total_token_usage is cumulative for the session. Adding every
# snapshot makes usage grow quadratically, so count the last turn.
usage = info.get("last_token_usage") or {}
cache_read = number(usage.get("cached_input_tokens"))
cache_write = number(usage.get("cache_write_input_tokens"))
# Cached tokens are included in input_tokens, and reasoning tokens
# are included in output_tokens. Keep the cache split without
# counting either category twice.
input_tokens = max(0, number(usage.get("input_tokens")) - cache_read - cache_write)
output_tokens = number(usage.get("output_tokens"))
if not (input_tokens or output_tokens or cache_read or cache_write):
continue
day = local_day(entry.get("timestamp") or path.stat().st_mtime)
add_usage(day, str(path), current_model, input_tokens, output_tokens, cache_read, cache_write)
except Exception:
continue
def rpc_request(proc, request_id, method, params=None, timeout=8):
payload = {"id": request_id, "method": method, "params": params or {}}
proc.stdin.write(json.dumps(payload) + "\n")
proc.stdin.flush()
deadline = time.time() + timeout
while time.time() < deadline:
ready, _, _ = select.select([proc.stdout], [], [], 0.25)
if not ready:
continue
line = proc.stdout.readline()
if not line:
break
try:
message = json.loads(line)
except Exception:
continue
if message.get("id") == request_id:
return message
raise TimeoutError(method)
def limit_window(window):
if not isinstance(window, dict):
return None
used = window.get("usedPercent")
if used is None:
return None
mins = number(window.get("windowDurationMins"))
if mins == 10080:
label = "Weekly (7-day)"
elif mins and mins % 60 == 0:
label = f"{mins // 60}h window"
elif mins:
label = f"{mins}m window"
else:
label = "Limit"
reset = window.get("resetsAt")
return {
"label": label,
"percent": float(used) / 100.0,
"resetsAt": datetime.fromtimestamp(number(reset), timezone.utc).isoformat() if reset else "",
}
def fetch_codex_rpc():
result = {"limits": [], "tierLabel": "", "usageStatusText": "", "authHelpText": AUTH_HELP}
codex = find_command("codex")
if not codex:
result["usageStatusText"] = "Codex unavailable"
result["authHelpText"] = "codex not found in PATH"
return result
try:
proc = subprocess.Popen(
[codex, "-s", "read-only", "-a", "untrusted", "app-server"],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.DEVNULL,
text=True,
env=ENV,
)
except Exception as exc:
result["usageStatusText"] = "Codex unavailable"
result["authHelpText"] = str(exc)
return result
try:
rpc_request(proc, 1, "initialize", {"clientInfo": {"name": "omarchy-agent-usage", "version": "1"}}, timeout=8)
proc.stdin.write(json.dumps({"method": "initialized", "params": {}}) + "\n")
proc.stdin.flush()
account_msg = rpc_request(proc, 2, "account/read", timeout=4)
limits_msg = rpc_request(proc, 3, "account/rateLimits/read", timeout=4)
account = (account_msg.get("result") or {}).get("account") or {}
limits = (limits_msg.get("result") or {}).get("rateLimits") or {}
plan = limits.get("planType") or account.get("planType") or account.get("type") or ""
result["tierLabel"] = str(plan) if plan else ""
for window in (limits.get("primary"), limits.get("secondary")):
entry = limit_window(window)
if entry:
result["limits"].append(entry)
except Exception as exc:
result["usageStatusText"] = "Codex limits unavailable"
result["authHelpText"] = str(exc)
finally:
try:
proc.terminate()
proc.wait(timeout=1)
except Exception:
try:
proc.kill()
except Exception:
pass
return result
def main():
parser = argparse.ArgumentParser()
# Local stats and limits come from the same cheap scan, so there is no
# cache to force past and no faster limits-only path. The flags exist so
# every collector accepts the same invocation.
parser.add_argument("--force", action="store_true")
parser.add_argument("--limits-only", action="store_true")
parser.parse_args()
scan_pi_sessions()
scan_native_codex_sessions()
scan_opencode_sessions()
rpc = fetch_codex_rpc()
record = {
"schemaVersion": 1,
"id": AGENT_ID,
"name": AGENT_NAME,
"updatedAt": datetime.now(timezone.utc).isoformat(),
"ready": True,
"hasLocalStats": True,
"todayPrompts": today_prompts,
"todaySessions": len(today_sessions),
"todayTotalTokens": today_total_tokens,
"todayTokensByModel": today_tokens_by_model,
"recentDays": [recent[day] for day in recent_dates],
"totalPrompts": total_prompts,
"totalSessions": len(total_sessions),
# Days with any recorded usage, for the all-time "N days" summary. The
# dates travel too: merging snapshots from several machines needs their
# union, which a count alone cannot give.
"activeDays": len(active_days),
"activeDates": sorted(active_days),
"modelUsage": model_usage,
}
record.update(rpc)
print(json.dumps(record, separators=(",", ":")))
if __name__ == "__main__":
main()