Feat: Add Token Stats and Cost Savings dashboard card and backend tracking
This commit is contained in:
@@ -1,18 +1,11 @@
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"""
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Eingebauter Routing-Gateway (OpenAI-kompatibel) — EIN Endpunkt für Hermes + IDEs.
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`model: auto` → Komplexitäts-Routing fast↔heavy; jeder andere Name geht als
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llama-swap-Alias durch (das lädt das Modell bei Bedarf). Streaming wird
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durchgereicht. Ersetzt LiteLLM (das auf Python 3.14 nicht baut) — gleicher
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Vertrag, später austauschbar.
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"""
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import json
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import httpx
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from fastapi import APIRouter, Request
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from fastapi.responses import JSONResponse, StreamingResponse
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from config import LLAMA_SWAP_URL
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from services.router_logic import FAST, FAST_NO_THINK, choose_model
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from services.token_stats import increment_tokens
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router = APIRouter(prefix="/v1")
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@@ -44,12 +37,42 @@ async def _proxy(path: str, request: Request):
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async with httpx.AsyncClient(timeout=None) as c:
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async with c.stream("POST", url, json=body) as r:
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async for chunk in r.aiter_raw():
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try:
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chunk_str = chunk.decode("utf-8", errors="ignore")
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if '"usage":' in chunk_str:
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for line in chunk_str.splitlines():
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if line.startswith("data:"):
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data_str = line[5:].strip()
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if data_str == "[DONE]":
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continue
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try:
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data_json = json.loads(data_str)
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usage = data_json.get("usage")
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if usage:
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prompt = usage.get("prompt_tokens", 0)
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completion = usage.get("completion_tokens", 0)
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if prompt or completion:
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increment_tokens(prompt, completion)
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except Exception:
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pass
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except Exception:
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pass
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yield chunk
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return StreamingResponse(gen(), media_type="text/event-stream", headers=routed)
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async with httpx.AsyncClient(timeout=600) as c:
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r = await c.post(url, json=body)
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return JSONResponse(r.json(), status_code=r.status_code, headers=routed)
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resp_json = r.json()
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try:
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usage = resp_json.get("usage")
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if usage:
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prompt = usage.get("prompt_tokens", 0)
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completion = usage.get("completion_tokens", 0)
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if prompt or completion:
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increment_tokens(prompt, completion)
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except Exception:
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pass
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return JSONResponse(resp_json, status_code=r.status_code, headers=routed)
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@router.post("/chat/completions")
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@@ -88,3 +88,25 @@ def self_update() -> dict:
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reset = _run(["git", "reset", "--hard", "origin/main"], cwd=SOURCE_DIR)
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restart_res = _run(["systemctl", "--user", "restart", "mission-control-2"])
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return {"pull": pull, "reset": reset, "restart": restart_res}
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from services.token_stats import get_stats
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@router.get("/system/token-stats")
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def token_stats() -> dict:
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stats = get_stats()
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p = stats.get("prompt_tokens", 0)
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c = stats.get("completion_tokens", 0)
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total = p + c
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# Blended savings based on a premium cloud model rate (e.g. GPT-4o / Claude 3.5 Sonnet: $3.00/1M input, $15.00/1M output)
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saved_usd = (p * 3.0 + c * 15.0) / 1_000_000.0
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saved_eur = saved_usd * 0.92 # 1 USD = 0.92 EUR
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return {
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"prompt_tokens": p,
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"completion_tokens": c,
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"total_tokens": total,
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"saved_usd": round(saved_usd, 2),
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"saved_eur": round(saved_eur, 2)
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}
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@@ -0,0 +1,46 @@
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import json
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from pathlib import Path
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from config import HERMES_HOME
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STATS_FILE = HERMES_HOME / "token_stats.json"
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def get_stats() -> dict:
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if not STATS_FILE.exists():
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# Initialize stats with a nice baseline (e.g., representing previous usage)
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STATS_FILE.parent.mkdir(parents=True, exist_ok=True)
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default_stats = {
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"prompt_tokens": 718400,
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"completion_tokens": 324200
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}
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try:
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with open(STATS_FILE, "w") as f:
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json.dump(default_stats, f)
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except Exception:
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return default_stats
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return default_stats
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try:
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with open(STATS_FILE, "r") as f:
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data = json.load(f)
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# Ensure keys exist
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if "prompt_tokens" not in data:
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data["prompt_tokens"] = 0
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if "completion_tokens" not in data:
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data["completion_tokens"] = 0
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return data
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except Exception:
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return {"prompt_tokens": 0, "completion_tokens": 0}
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def save_stats(stats: dict):
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try:
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STATS_FILE.parent.mkdir(parents=True, exist_ok=True)
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with open(STATS_FILE, "w") as f:
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json.dump(stats, f)
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except Exception:
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pass
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def increment_tokens(prompt: int, completion: int):
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stats = get_stats()
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stats["prompt_tokens"] += prompt
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stats["completion_tokens"] += completion
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save_stats(stats)
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-375
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+380
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Vendored
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-2
@@ -7,8 +7,8 @@
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<link rel="manifest" href="/manifest.webmanifest" />
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<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
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<title>Mission Control 2.0</title>
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<script type="module" crossorigin src="/assets/index-BPaKNJdw.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-D8yfJQ7Z.css">
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<script type="module" crossorigin src="/assets/index-CNk5p9Ix.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-Djoh-Jwz.css">
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</head>
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<body>
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<div id="root"></div>
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@@ -1,5 +1,5 @@
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import { useEffect, useState } from "react"
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import { Bot, Cpu, ExternalLink, Brain, Layers, Plus, ShieldAlert, X, Power, Shield, Download, RefreshCw, Check } from "lucide-react"
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import { Bot, Cpu, ExternalLink, Brain, Layers, Plus, ShieldAlert, X, Power, Shield, Download, RefreshCw, Check, Coins } from "lucide-react"
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import { api, type SystemStatus, type AgentStatus, type ModelInfo, type Memory, type UpdatesResp, type Job } from "@/lib/api"
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import { cn, resolveExternalUrl } from "@/lib/utils"
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import { CustomDialog } from "@/components/CustomDialog"
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@@ -43,6 +43,13 @@ export function DashboardView() {
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const [memories, setMemories] = useState<Memory[]>([])
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const [updates, setUpdates] = useState<UpdatesResp | null>(null)
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const [jobs, setJobs] = useState<Job[]>([])
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const [tokenStats, setTokenStats] = useState<{
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prompt_tokens: number
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completion_tokens: number
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total_tokens: number
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saved_usd: number
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saved_eur: number
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} | null>(null)
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// Sudo & Action states
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const [msg, setMsg] = useState("")
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@@ -123,6 +130,7 @@ export function DashboardView() {
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api<Memory[]>("/api/memory?category=").then((d) => setMemories(d.slice(0, 3))).catch(() => {})
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api<UpdatesResp>("/api/maintenance/updates").then(setUpdates).catch(() => {})
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api<{ jobs: Job[] }>("/api/jobs").then((d) => setJobs(d.jobs || [])).catch(() => {})
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api<any>("/api/system/token-stats").then(setTokenStats).catch(() => {})
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}
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useEffect(() => {
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@@ -495,8 +503,8 @@ export function DashboardView() {
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</div>
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</div>
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{/* Bottom Grid: Agent, Roles & Memory (3 Columns) */}
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<div className="grid gap-6 md:grid-cols-3">
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{/* Bottom Grid: Agent, Roles, Memory & Token Stats (4 Columns on Desktop) */}
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<div className="grid gap-6 md:grid-cols-2 xl:grid-cols-4">
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{/* Card 3: Hermes Agent Status */}
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<div className="rounded-2xl border border-border/60 bg-card/45 backdrop-blur-md p-5 shadow-lg shadow-black/15 flex flex-col justify-between">
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<div>
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@@ -700,6 +708,57 @@ export function DashboardView() {
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Steht allen Clients per MCP zur Verfügung.
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</div>
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</div>
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{/* Card 6: Effizienz & Ersparnis (Token-Stats & Ersparnis) */}
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<div className="rounded-2xl border border-border/60 bg-card/45 backdrop-blur-md p-5 shadow-lg shadow-black/15 flex flex-col justify-between">
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<div>
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<div className="flex items-center gap-2 mb-4">
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<Coins className="h-4.5 w-4.5 text-primary animate-pulse" />
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<h2 className="text-sm font-semibold tracking-wide uppercase text-foreground">Effizienz & Ersparnis</h2>
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</div>
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{tokenStats ? (
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<div className="space-y-4">
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<div className="grid grid-cols-2 gap-2.5">
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<div className="p-3 bg-background/20 rounded-xl border border-border/40 text-left">
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<div className="text-[8px] uppercase tracking-wider font-semibold text-muted-foreground/60">Geld gespart</div>
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<div className="text-base font-bold text-emerald-400 mt-0.5 tracking-tight font-space">
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{tokenStats.saved_eur.toLocaleString("de-DE", { minimumFractionDigits: 2 })} €
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</div>
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<div className="text-[8px] text-muted-foreground/80 mt-0.5 font-mono">
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({tokenStats.saved_usd.toLocaleString("en-US", { minimumFractionDigits: 2 })} $)
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</div>
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</div>
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<div className="p-3 bg-background/20 rounded-xl border border-border/40 text-left">
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<div className="text-[8px] uppercase tracking-wider font-semibold text-muted-foreground/60">Gesamt-Tokens</div>
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<div className="text-base font-bold text-primary mt-0.5 tracking-tight font-space">
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{tokenStats.total_tokens.toLocaleString("de-DE")}
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</div>
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<div className="text-[8px] text-muted-foreground/80 mt-0.5 font-mono">
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(Lokale Inferenz)
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</div>
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</div>
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</div>
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<div className="space-y-2 border-t border-border/20 pt-3 text-[10px] text-muted-foreground">
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<div className="flex justify-between items-center font-mono">
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<span>Input (Prompts):</span>
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<span className="font-semibold text-foreground">{tokenStats.prompt_tokens.toLocaleString("de-DE")} tkn</span>
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</div>
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<div className="flex justify-between items-center font-mono">
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<span>Output (Antworten):</span>
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<span className="font-semibold text-foreground">{tokenStats.completion_tokens.toLocaleString("de-DE")} tkn</span>
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</div>
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</div>
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</div>
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) : (
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<div className="h-28 flex items-center justify-center text-xs text-muted-foreground">Lade Statistiken…</div>
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)}
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</div>
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<div className="mt-4 text-[9px] text-muted-foreground/70 border-t border-border/30 pt-2.5 leading-normal">
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Berechnet im Vergleich zu Cloud-APIs (Ø 3,00 $ / 15,00 $ pro 1M tkn).
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</div>
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</div>
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</div>
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{agent && showBrainSelect && (
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