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agent-trace v2 — FORGE Telemetry Backbone
Every agent sends events here.
Owns: ingest, retention, aggregation, real-time dashboard.
agent-learn reads rewards from here.
"""
import asyncio, json, os, sqlite3, time, uuid
from contextlib import asynccontextmanager
from pathlib import Path
from typing import Optional
import uvicorn
from fastapi import FastAPI, HTTPException, Query, Request
from fastapi.responses import HTMLResponse, JSONResponse, StreamingResponse
# ---------------------------------------------------------------------------
# Config
# ---------------------------------------------------------------------------
DB_PATH = Path(os.getenv("TRACE_DB", "/tmp/trace.db"))
PORT = int(os.getenv("PORT", "7860"))
INGEST_KEY = os.getenv("TRACE_KEY", "")
RETAIN_DAYS = int(os.getenv("RETAIN_DAYS", "7"))
VALID_TYPES = {"llm_call","tool_use","react_step","skill_load","kanban_move",
"slot_event","self_reflect","reward_signal","error","custom"}
# ---------------------------------------------------------------------------
# Database
# ---------------------------------------------------------------------------
def get_db():
conn = sqlite3.connect(str(DB_PATH), check_same_thread=False)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA journal_mode=WAL")
conn.execute("PRAGMA synchronous=NORMAL")
return conn
def init_db():
conn = get_db()
conn.executescript("""
CREATE TABLE IF NOT EXISTS traces (
id TEXT PRIMARY KEY,
agent TEXT NOT NULL DEFAULT 'unknown',
session_id TEXT NOT NULL DEFAULT '',
task_id TEXT NOT NULL DEFAULT '',
event_type TEXT NOT NULL DEFAULT 'custom',
status TEXT NOT NULL DEFAULT 'ok',
latency_ms REAL,
tokens_in INTEGER,
tokens_out INTEGER,
model TEXT,
tool_name TEXT,
skill_id TEXT,
reward REAL,
error_msg TEXT,
payload TEXT NOT NULL DEFAULT '{}',
tags TEXT NOT NULL DEFAULT '[]',
ts REAL NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_tr_ts ON traces(ts DESC);
CREATE INDEX IF NOT EXISTS idx_tr_agent ON traces(agent);
CREATE INDEX IF NOT EXISTS idx_tr_type ON traces(event_type);
CREATE INDEX IF NOT EXISTS idx_tr_sess ON traces(session_id);
CREATE INDEX IF NOT EXISTS idx_tr_task ON traces(task_id);
CREATE INDEX IF NOT EXISTS idx_tr_reward ON traces(reward);
CREATE TABLE IF NOT EXISTS hourly_stats (
hour TEXT NOT NULL,
agent TEXT NOT NULL,
event_type TEXT NOT NULL,
count INTEGER NOT NULL DEFAULT 0,
errors INTEGER NOT NULL DEFAULT 0,
total_lat REAL NOT NULL DEFAULT 0,
total_tok INTEGER NOT NULL DEFAULT 0,
PRIMARY KEY (hour, agent, event_type)
);
""")
conn.commit(); conn.close()
def purge_old():
cutoff = time.time() - RETAIN_DAYS * 86400
conn = get_db()
n = conn.execute("DELETE FROM traces WHERE ts < ?", (cutoff,)).rowcount
conn.execute("DELETE FROM hourly_stats WHERE hour < ?",
(time.strftime("%Y-%m-%dT%H", time.gmtime(cutoff)),))
conn.commit(); conn.close()
return n
# ---------------------------------------------------------------------------
# Write
# ---------------------------------------------------------------------------
def ingest_trace(data: dict) -> str:
event_type = str(data.get("event_type","custom"))
if event_type not in VALID_TYPES: event_type = "custom"
status = "error" if str(data.get("status","ok")).lower()=="error" else "ok"
latency_ms = float(data["latency_ms"]) if data.get("latency_ms") is not None else None
tokens_in = int(data["tokens_in"]) if data.get("tokens_in") is not None else None
tokens_out = int(data["tokens_out"]) if data.get("tokens_out") is not None else None
reward = float(data["reward"]) if data.get("reward") is not None else None
ts = float(data.get("ts") or time.time())
trace_id = str(data.get("id") or uuid.uuid4())
payload = json.dumps(data.get("payload") or {})
tags = json.dumps(data.get("tags") or [])
agent = str(data.get("agent","unknown"))[:64]
conn = get_db()
conn.execute("""
INSERT OR IGNORE INTO traces
(id,agent,session_id,task_id,event_type,status,
latency_ms,tokens_in,tokens_out,model,tool_name,skill_id,
reward,error_msg,payload,tags,ts)
VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)""",
(trace_id, agent,
str(data.get("session_id",""))[:128],
str(data.get("task_id",""))[:128],
event_type, status, latency_ms, tokens_in, tokens_out,
str(data.get("model","") or "")[:128],
str(data.get("tool_name","") or "")[:128],
str(data.get("skill_id","") or "")[:128],
reward, str(data.get("error_msg","") or "")[:1024],
payload, tags, ts))
hour = time.strftime("%Y-%m-%dT%H", time.gmtime(ts))
total_tok = (tokens_in or 0) + (tokens_out or 0)
conn.execute("""
INSERT INTO hourly_stats (hour,agent,event_type,count,errors,total_lat,total_tok)
VALUES (?,?,?,1,?,?,?)
ON CONFLICT(hour,agent,event_type) DO UPDATE SET
count=count+1, errors=errors+excluded.errors,
total_lat=total_lat+excluded.total_lat,
total_tok=total_tok+excluded.total_tok""",
(hour, agent, event_type,
1 if status=="error" else 0,
latency_ms or 0, total_tok))
conn.commit(); conn.close()
return trace_id
def ingest_batch(events: list) -> dict:
ok, errs = 0, []
for i, ev in enumerate(events):
try:
ingest_trace(ev); ok += 1
except Exception as e:
errs.append({"index":i,"error":str(e)})
return {"ingested":ok,"errors":errs}
def update_reward(trace_id: str, reward: float) -> bool:
conn = get_db()
n = conn.execute("UPDATE traces SET reward=? WHERE id=?", (reward, trace_id)).rowcount
conn.commit(); conn.close()
return n > 0
# ---------------------------------------------------------------------------
# Read
# ---------------------------------------------------------------------------
def query_traces(agent="", event_type="", session_id="", task_id="",
status="", has_reward=False, since_ts=0.0,
limit=100, offset=0) -> list:
conn = get_db()
where, params = [], []
if agent: where.append("agent=?"); params.append(agent)
if event_type: where.append("event_type=?"); params.append(event_type)
if session_id: where.append("session_id=?"); params.append(session_id)
if task_id: where.append("task_id=?"); params.append(task_id)
if status: where.append("status=?"); params.append(status)
if has_reward: where.append("reward IS NOT NULL")
if since_ts: where.append("ts >= ?"); params.append(since_ts)
sql = ("SELECT * FROM traces" +
(f" WHERE {' AND '.join(where)}" if where else "") +
" ORDER BY ts DESC LIMIT ? OFFSET ?")
rows = conn.execute(sql, params+[limit,offset]).fetchall()
conn.close()
result = []
for r in rows:
d = dict(r)
for f in ("payload","tags"):
try: d[f] = json.loads(d[f])
except Exception: pass
result.append(d)
return result
def get_agents() -> list:
conn = get_db()
rows = conn.execute("SELECT DISTINCT agent FROM traces ORDER BY agent").fetchall()
conn.close()
return [r[0] for r in rows]
def get_stats(window_hours=24) -> dict:
conn = get_db()
since = time.time() - window_hours * 3600
total = conn.execute("SELECT COUNT(*) FROM traces WHERE ts>=?",(since,)).fetchone()[0]
errors = conn.execute("SELECT COUNT(*) FROM traces WHERE ts>=? AND status='error'",(since,)).fetchone()[0]
by_agent = conn.execute(
"SELECT agent, COUNT(*) as cnt, SUM(CASE WHEN status='error' THEN 1 ELSE 0 END) as errs "
"FROM traces WHERE ts>=? GROUP BY agent ORDER BY cnt DESC",(since,)).fetchall()
by_type = conn.execute(
"SELECT event_type, COUNT(*) as cnt FROM traces WHERE ts>=? GROUP BY event_type ORDER BY cnt DESC",(since,)).fetchall()
avg_lat = conn.execute("SELECT AVG(latency_ms) FROM traces WHERE ts>=? AND latency_ms IS NOT NULL",(since,)).fetchone()[0]
total_tok = conn.execute(
"SELECT SUM(COALESCE(tokens_in,0)+COALESCE(tokens_out,0)) FROM traces WHERE ts>=?",(since,)).fetchone()[0]
rw = conn.execute(
"SELECT COUNT(*),AVG(reward),MIN(reward),MAX(reward) FROM traces WHERE ts>=? AND reward IS NOT NULL",(since,)).fetchone()
since_hour = time.strftime("%Y-%m-%dT%H", time.gmtime(since))
hourly = conn.execute(
"SELECT hour, SUM(count) as total, SUM(errors) as errs "
"FROM hourly_stats WHERE hour>=? GROUP BY hour ORDER BY hour",(since_hour,)).fetchall()
conn.close()
return {
"window_hours": window_hours,
"total_events": total,
"error_count": errors,
"error_rate": round(errors/max(total,1)*100,2),
"avg_latency_ms": round(avg_lat or 0,1),
"total_tokens": total_tok or 0,
"by_agent": [dict(r) for r in by_agent],
"by_event_type": [dict(r) for r in by_type],
"reward_stats": {"count":rw[0]or 0,"avg":round(rw[1]or 0,4),"min":rw[2],"max":rw[3]},
"hourly_trend": [dict(r) for r in hourly],
}
# ---------------------------------------------------------------------------
# Seed demo data
# ---------------------------------------------------------------------------
def seed_demo():
conn = get_db()
n = conn.execute("SELECT COUNT(*) FROM traces").fetchone()[0]
conn.close()
if n > 0: return
import random; random.seed(42)
now = time.time()
agents = ["nexus","pulse","kanban","memory","relay"]
types = list(VALID_TYPES)
for _ in range(80):
a = random.choice(agents)
et = random.choice(types)
ingest_trace({
"agent": a,
"event_type": et,
"session_id": f"demo-{random.randint(1,8)}",
"task_id": f"task-{random.randint(1,15)}",
"status": "error" if random.random()<0.08 else "ok",
"latency_ms": round(random.uniform(80,3500),1) if et=="llm_call" else round(random.uniform(5,400),1),
"tokens_in": random.randint(100,2000) if et=="llm_call" else None,
"tokens_out": random.randint(50,800) if et=="llm_call" else None,
"model": "qwen/qwen3.5-35b-a3b" if a=="nexus" else "",
"tool_name": random.choice(["web_search","calculator","kanban_create","slot_reserve"]) if et=="tool_use" else "",
"reward": round(random.uniform(-0.3,1.0),3) if random.random()<0.3 else None,
"ts": now - random.uniform(0, 23*3600),
})
# ---------------------------------------------------------------------------
# MCP
# ---------------------------------------------------------------------------
MCP_TOOLS = [
{"name":"trace_ingest","description":"Ingest a trace event into FORGE telemetry.",
"inputSchema":{"type":"object","required":["agent","event_type"],
"properties":{"agent":{"type":"string"},"event_type":{"type":"string"},
"session_id":{"type":"string"},"task_id":{"type":"string"},
"status":{"type":"string"},"latency_ms":{"type":"number"},
"tokens_in":{"type":"integer"},"tokens_out":{"type":"integer"},
"model":{"type":"string"},"tool_name":{"type":"string"},
"skill_id":{"type":"string"},"error_msg":{"type":"string"},
"payload":{"type":"object"},"tags":{"type":"array"}}}},
{"name":"trace_query","description":"Query trace events with filters.",
"inputSchema":{"type":"object","properties":{"agent":{"type":"string"},"event_type":{"type":"string"},
"session_id":{"type":"string"},"task_id":{"type":"string"},
"status":{"type":"string"},"since_hours":{"type":"number"},
"limit":{"type":"integer"}}}},
{"name":"trace_stats","description":"Get aggregated telemetry statistics.",
"inputSchema":{"type":"object","properties":{"window_hours":{"type":"integer","default":24}}}},
{"name":"trace_agents","description":"List all agents that have sent telemetry.",
"inputSchema":{"type":"object","properties":{}}},
{"name":"trace_session","description":"Get complete event timeline for a session.",
"inputSchema":{"type":"object","required":["session_id"],"properties":{"session_id":{"type":"string"}}}},
{"name":"trace_reward","description":"Assign reward score to a trace event (called by agent-learn).",
"inputSchema":{"type":"object","required":["trace_id","reward"],
"properties":{"trace_id":{"type":"string"},"reward":{"type":"number"}}}},
]
def handle_mcp(method, params, req_id):
def ok(r): return {"jsonrpc":"2.0","id":req_id,"result":r}
def txt(d): return ok({"content":[{"type":"text","text":json.dumps(d)}]})
if method=="initialize":
return ok({"protocolVersion":"2024-11-05","serverInfo":{"name":"agent-trace","version":"1.0.0"},"capabilities":{"tools":{}}})
if method=="tools/list": return ok({"tools":MCP_TOOLS})
if method=="tools/call":
n, a = params.get("name",""), params.get("arguments",{})
if n=="trace_ingest":
tid = ingest_trace(a); return txt({"ok":True,"trace_id":tid})
if n=="trace_query":
ev = query_traces(agent=a.get("agent",""),event_type=a.get("event_type",""),
session_id=a.get("session_id",""),task_id=a.get("task_id",""),
status=a.get("status",""),since_ts=time.time()-a.get("since_hours",1)*3600,
limit=min(a.get("limit",50),200))
return txt({"events":ev,"count":len(ev)})
if n=="trace_stats": return txt(get_stats(a.get("window_hours",24)))
if n=="trace_agents": return txt({"agents":get_agents()})
if n=="trace_session":
return txt({"session_id":a["session_id"],"events":query_traces(session_id=a["session_id"],limit=500)})
if n=="trace_reward":
return txt({"ok":update_reward(a["trace_id"],float(a["reward"])),"trace_id":a["trace_id"]})
return {"jsonrpc":"2.0","id":req_id,"error":{"code":-32601,"message":f"Unknown tool: {n}"}}
if method in ("notifications/initialized","notifications/cancelled"): return None
return {"jsonrpc":"2.0","id":req_id,"error":{"code":-32601,"message":f"Method not found: {method}"}}
# ---------------------------------------------------------------------------
# App
# ---------------------------------------------------------------------------
@asynccontextmanager
async def lifespan(app):
init_db(); seed_demo()
asyncio.create_task(_purge_loop())
yield
async def _purge_loop():
while True:
await asyncio.sleep(3600); purge_old()
app = FastAPI(title="agent-trace", version="1.0.0", lifespan=lifespan)
#TODO
def _auth(r): return not INGEST_KEY or r.headers.get("x-trace-key","TRACE_KEY_SECRET") == INGEST_KEY
@app.post("/api/trace", status_code=201)
async def api_ingest(request: Request):
if not _auth(request): raise HTTPException(403,"Invalid X-Trace-Key")
body = await request.json()
if isinstance(body, list): return JSONResponse(ingest_batch(body))
tid = ingest_trace(body)
return JSONResponse({"ok":True,"trace_id":tid})
@app.post("/api/traces/batch", status_code=201)
async def api_batch(request: Request):
if not _auth(request): raise HTTPException(403,"Invalid X-Trace-Key")
body = await request.json()
return JSONResponse(ingest_batch(body if isinstance(body,list) else [body]))
@app.get("/api/traces")
async def api_query(
agent:str=Query(""), event_type:str=Query(""),
session_id:str=Query(""), task_id:str=Query(""),
status:str=Query(""), has_reward:bool=Query(False),
since_hours:float=Query(24.0), limit:int=Query(100,le=1000), offset:int=Query(0)):
ev = query_traces(agent=agent, event_type=event_type, session_id=session_id,
task_id=task_id, status=status, has_reward=has_reward,
since_ts=time.time()-since_hours*3600, limit=limit, offset=offset)
return JSONResponse({"events":ev,"count":len(ev)})
@app.get("/api/stats")
async def api_stats(window_hours:int=Query(24)):
return JSONResponse(get_stats(window_hours))
@app.get("/api/agents")
async def api_agents(): return JSONResponse({"agents":get_agents()})
@app.get("/api/session/{sid}")
async def api_session(sid:str):
return JSONResponse({"session_id":sid,"events":query_traces(session_id=sid,limit=500)})
@app.patch("/api/trace/{trace_id}/reward")
async def api_reward(trace_id:str, request:Request):
if not _auth(request): raise HTTPException(403,"Invalid X-Trace-Key")
body = await request.json()
updated = update_reward(trace_id, float(body.get("reward",0)))
return JSONResponse({"ok":updated,"trace_id":trace_id})
@app.delete("/api/purge")
async def api_purge(request:Request):
if not _auth(request): raise HTTPException(403,"Invalid X-Trace-Key")
return JSONResponse({"ok":True,"deleted":purge_old(),"retain_days":RETAIN_DAYS})
@app.get("/api/health")
async def api_health():
conn=get_db(); n=conn.execute("SELECT COUNT(*) FROM traces").fetchone()[0]; conn.close()
return JSONResponse({"ok":True,"total_traces":n,"retain_days":RETAIN_DAYS})
@app.delete("/api/traces/delete_person")
async def delete_person_traces(person_id: str):
conn = get_db()
# Scrub person_id from payload JSON rather than full delete
rows = conn.execute("SELECT id, payload FROM traces").fetchall()
scrubbed = 0
for row in rows:
p = row["payload"] or ""
if person_id in p:
new_p = p.replace(person_id, "[ERASED]")
conn.execute("UPDATE traces SET payload=? WHERE id=?", (new_p, row["id"]))
scrubbed += 1
conn.commit()
return JSONResponse({"scrubbed": scrubbed})
@app.get("/mcp/sse")
async def mcp_sse(request:Request):
async def gen():
yield f"data: {json.dumps({'jsonrpc':'2.0','method':'connected','params':{}})}\n\n"
yield f"data: {json.dumps({'jsonrpc':'2.0','method':'notifications/tools','params':{'tools':MCP_TOOLS}})}\n\n"
while True:
if await request.is_disconnected(): break
yield ": ping\n\n"; await asyncio.sleep(15)
return StreamingResponse(gen(), media_type="text/event-stream",
headers={"Cache-Control":"no-cache","Connection":"keep-alive","X-Accel-Buffering":"no"})
@app.post("/mcp")
async def mcp_rpc(request:Request):
try: body = await request.json()
except Exception: return JSONResponse({"jsonrpc":"2.0","id":None,"error":{"code":-32700,"message":"Parse error"}})
if isinstance(body,list):
return JSONResponse([r for r in [handle_mcp(x.get("method",""),x.get("params",{}),x.get("id")) for x in body] if r])
r = handle_mcp(body.get("method",""), body.get("params",{}), body.get("id"))
return JSONResponse(r or {"jsonrpc":"2.0","id":body.get("id"),"result":{}})
# ---------------------------------------------------------------------------
# SPA
# ---------------------------------------------------------------------------
SPA = r"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8"><meta name="viewport" content="width=device-width,initial-scale=1">
<title>📊 TRACE — FORGE Telemetry</title>
<style>
@import url('https://fonts.googleapis.com/css2?family=Space+Mono:wght@400;700&family=Syne:wght@400;600;800&family=DM+Mono:wght@300;400;500&display=swap');
*{box-sizing:border-box;margin:0;padding:0}
:root{--bg:#07070e;--sf:#0e0e1a;--sf2:#131320;--br:#1c1c2e;--ac:#ff6b00;--ac2:#ff9500;--tx:#dde0f0;--mu:#55557a;--gr:#00ff88;--rd:#ff4455;--cy:#06b6d4;--pu:#8b5cf6;--ye:#f59e0b}
html,body{height:100%;background:var(--bg);color:var(--tx);font-family:'Syne',sans-serif;overflow:hidden}
::-webkit-scrollbar{width:5px;height:5px}::-webkit-scrollbar-track{background:var(--sf)}::-webkit-scrollbar-thumb{background:var(--br);border-radius:3px}
.app{display:grid;grid-template-rows:52px 1fr;height:100vh}
.hdr{display:flex;align-items:center;gap:1rem;padding:0 1.5rem;border-bottom:1px solid var(--br);background:var(--sf)}
.logo{font-family:'Space Mono',monospace;font-size:1.1rem;font-weight:700;color:var(--ac)}
.sub{font-family:'DM Mono',monospace;font-size:0.62rem;color:var(--mu);letter-spacing:0.2em;text-transform:uppercase}
.hs{text-align:center}.hs-n{font-family:'Space Mono',monospace;font-size:1rem;font-weight:700;color:var(--ac)}
.hs-l{font-family:'DM Mono',monospace;font-size:0.58rem;color:var(--mu);text-transform:uppercase;letter-spacing:.1em}
.hstats{display:flex;gap:1.5rem;margin-left:1rem}
.win-btn{padding:3px 10px;font-family:'DM Mono',monospace;font-size:.7rem;background:var(--sf2);border:1px solid var(--br);color:var(--mu);border-radius:4px;cursor:pointer;transition:all .15s}
.win-btn.active,.win-btn:hover{border-color:var(--ac);color:var(--ac)}
.dot{width:8px;height:8px;border-radius:50%;background:var(--gr);animation:pulse 2s ease-in-out infinite}
@keyframes pulse{0%,100%{opacity:1;box-shadow:0 0 0 0 rgba(0,255,136,.5)}50%{opacity:.6;box-shadow:0 0 0 6px rgba(0,255,136,0)}}
.body{display:grid;grid-template-columns:1fr 320px;overflow:hidden}
.left{display:flex;flex-direction:column;overflow:hidden;border-right:1px solid var(--br)}
.kpis{display:grid;grid-template-columns:repeat(5,1fr);gap:1px;border-bottom:1px solid var(--br);background:var(--br)}
.kpi{background:var(--sf);padding:.65rem 1rem;text-align:center}
.kpi-n{font-family:'Space Mono',monospace;font-size:1.3rem;font-weight:700;color:var(--ac);line-height:1}
.kpi-l{font-family:'DM Mono',monospace;font-size:.58rem;color:var(--mu);text-transform:uppercase;letter-spacing:.1em;margin-top:3px}
.charts{display:grid;grid-template-columns:1fr 1fr;gap:1px;border-bottom:1px solid var(--br);background:var(--br);height:155px}
.cpanel{background:var(--sf);padding:.6rem .9rem;display:flex;flex-direction:column;overflow:hidden}
.ct{font-family:'DM Mono',monospace;font-size:.62rem;color:var(--mu);text-transform:uppercase;letter-spacing:.12em;margin-bottom:.4rem}
.bars{flex:1;display:flex;align-items:flex-end;gap:2px}
.bl{font-family:'DM Mono',monospace;font-size:.52rem;color:var(--mu);text-align:center;margin-top:2px;overflow:hidden;text-overflow:ellipsis;white-space:nowrap}
.dw{flex:1;display:flex;gap:.6rem;align-items:center}
.leg{flex:1;display:flex;flex-direction:column;gap:3px}
.li{display:flex;align-items:center;gap:4px;font-family:'DM Mono',monospace;font-size:.62rem;color:var(--mu)}
.ld{width:7px;height:7px;border-radius:50%;flex-shrink:0}.lv{margin-left:auto;color:var(--tx)}
.feed-hdr{display:flex;align-items:center;gap:.6rem;padding:.55rem .9rem;border-bottom:1px solid var(--br)}
.filt-sel{background:var(--sf2);border:1px solid var(--br);color:var(--tx);padding:2px 7px;font-family:'DM Mono',monospace;font-size:.68rem;border-radius:4px;outline:none}
.filt-sel:focus{border-color:var(--ac)}.filt-sel option{background:var(--sf)}
.feed{flex:1;overflow-y:auto}
.erow{display:grid;grid-template-columns:65px 75px 88px 1fr 75px;gap:.4rem;align-items:center;padding:.3rem .9rem;border-bottom:1px solid #11111d;font-family:'DM Mono',monospace;font-size:.7rem;cursor:pointer;transition:background .1s}
.erow:hover{background:var(--sf)}.erow.sel{background:var(--sf2);border-left:2px solid var(--ac)}
.et{font-size:.6rem;padding:1px 5px;border-radius:3px;text-align:center}
.type-llm_call{background:#1a1000;color:#ff9500;border:1px solid #3a2500}
.type-tool_use{background:#001a0a;color:#00ff88;border:1px solid #004422}
.type-react_step{background:#0a001a;color:#8b5cf6;border:1px solid #2a0066}
.type-skill_load{background:#001a1a;color:#06b6d4;border:1px solid #003344}
.type-kanban_move{background:#1a0a00;color:#f59e0b;border:1px solid #443000}
.type-slot_event{background:#0a0a1a;color:#6366f1;border:1px solid #22246a}
.type-self_reflect{background:#1a0010;color:#ec4899;border:1px solid #440033}
.type-reward_signal{background:#001a08;color:#10b981;border:1px solid #004422}
.type-error{background:#1a0000;color:#ff4455;border:1px solid #440011}
.type-custom{background:var(--sf2);color:var(--mu);border:1px solid var(--br)}
.right{display:flex;flex-direction:column;overflow:hidden}
.rt{font-family:'DM Mono',monospace;font-size:.62rem;color:var(--mu);text-transform:uppercase;letter-spacing:.15em;padding:.65rem 1rem;border-bottom:1px solid var(--br)}
.dp{flex:1;overflow-y:auto;padding:.7rem 1rem}
.df{margin-bottom:.55rem}
.dfl{font-family:'DM Mono',monospace;font-size:.6rem;color:var(--mu);text-transform:uppercase;letter-spacing:.1em;margin-bottom:2px}
.dfv{font-family:'DM Mono',monospace;font-size:.75rem;word-break:break-all}
pre.dj{background:#0a0a14;border:1px solid var(--br);border-radius:4px;padding:.55rem;font-size:.63rem;color:var(--gr);overflow-x:auto;white-space:pre-wrap;max-height:110px;overflow-y:auto}
.empty{display:flex;align-items:center;justify-content:center;height:100%;color:var(--mu);font-family:'DM Mono',monospace;font-size:.78rem}
</style></head><body>
<div class="app">
<header class="hdr">
<div><div class="logo">📊 TRACE</div><div class="sub">FORGE Telemetry Backbone</div></div>
<div class="hstats">
<div class="hs"><div class="hs-n" id="hT">—</div><div class="hs-l">Events</div></div>
<div class="hs"><div class="hs-n" id="hE" style="color:var(--rd)">—</div><div class="hs-l">Err%</div></div>
<div class="hs"><div class="hs-n" id="hL">—</div><div class="hs-l">Avg ms</div></div>
<div class="hs"><div class="hs-n" id="hTk" style="color:var(--cy)">—</div><div class="hs-l">Tokens</div></div>
</div>
<div style="display:flex;gap:.5rem;margin-left:1.5rem">
<button class="win-btn active" id="w1" onclick="setW(1)">1h</button>
<button class="win-btn" id="w6" onclick="setW(6)">6h</button>
<button class="win-btn" id="w24" onclick="setW(24)">24h</button>
</div>
<div style="margin-left:auto"><div class="dot"></div></div>
</header>
<div class="body">
<div class="left">
<div class="kpis" id="kpis"></div>
<div class="charts">
<div class="cpanel"><div class="ct">Hourly trend</div><div class="bars" id="bars"></div></div>
<div class="cpanel">
<div class="ct">By event type</div>
<div class="dw">
<svg width="80" height="80" viewBox="0 0 36 36" id="donut"></svg>
<div class="leg" id="leg"></div>
</div>
</div>
</div>
<div class="feed-hdr">
<span style="font-family:'DM Mono',monospace;font-size:.65rem;color:var(--mu);text-transform:uppercase;letter-spacing:.15em">Stream</span>
<div style="display:flex;gap:.4rem;margin-left:auto">
<select class="filt-sel" id="fA" onchange="loadFeed()">
<option value="">all agents</option>
</select>
<select class="filt-sel" id="fT" onchange="loadFeed()">
<option value="">all types</option>
<option>llm_call</option><option>tool_use</option><option>react_step</option>
<option>skill_load</option><option>kanban_move</option><option>slot_event</option>
<option>self_reflect</option><option>reward_signal</option><option>error</option><option>custom</option>
</select>
<select class="filt-sel" id="fS" onchange="loadFeed()">
<option value="">all</option><option value="ok">ok</option><option value="error">error</option>
</select>
</div>
</div>
<div class="feed" id="feed"><div class="empty">Loading...</div></div>
</div>
<div class="right">
<div class="rt" id="rtitle">Select an event</div>
<div class="dp" id="dp"><div class="empty" style="height:200px">← Click event to inspect</div></div>
</div>
</div>
</div>
<script>
const TC={llm_call:'#ff9500',tool_use:'#00ff88',react_step:'#8b5cf6',skill_load:'#06b6d4',kanban_move:'#f59e0b',slot_event:'#6366f1',self_reflect:'#ec4899',reward_signal:'#10b981',error:'#ff4455',custom:'#55557a'};
let W=1,events=[],selId=null;
function setW(h){W=h;['w1','w6','w24'].forEach(i=>document.getElementById(i).classList.remove('active'));document.getElementById('w'+h).classList.add('active');loadAll()}
async function loadAll(){await Promise.all([loadStats(),loadFeed()])}
async function loadStats(){
const s=await(await fetch('/api/stats?window_hours='+W)).json();
document.getElementById('hT').textContent=fmt(s.total_events);
document.getElementById('hE').textContent=s.error_rate+'%';
document.getElementById('hL').textContent=s.avg_latency_ms;
document.getElementById('hTk').textContent=fmtk(s.total_tokens);
// KPIs
const ba={};(s.by_agent||[]).forEach(a=>ba[a.agent]=a.cnt);
const aa=['nexus','pulse','kanban','memory'];
let other=0;Object.entries(ba).forEach(([a,c])=>{if(!aa.includes(a))other+=c});
document.getElementById('kpis').innerHTML=aa.map(a=>`<div class="kpi"><div class="kpi-n">${fmt(ba[a]||0)}</div><div class="kpi-l">${a}</div></div>`).join('')+`<div class="kpi"><div class="kpi-n" style="color:var(--mu)">${fmt(other)}</div><div class="kpi-l">other</div></div>`;
// Agent filter
const sel=document.getElementById('fA'),cur=sel.value;
sel.innerHTML='<option value="">all agents</option>';
(s.by_agent||[]).forEach(a=>{const o=document.createElement('option');o.value=a.agent;o.textContent=a.agent;if(a.agent===cur)o.selected=true;sel.appendChild(o)});
// Bars
const trend=s.hourly_trend||[],max=Math.max(...trend.map(r=>r.total||0),1);
const slots=[];for(let i=W-1;i>=0;i--){const d=new Date(Date.now()-i*3600000),k=d.toISOString().slice(0,13),f=trend.find(r=>r.hour===k);slots.push({h:d.getHours()+'h',n:f?f.total:0,e:f?f.errs:0})}
document.getElementById('bars').innerHTML=slots.map(s=>{const pct=Math.max(3,Math.round(s.n/max*100)),ep=s.n>0?Math.round(s.e/s.n*pct):0;return`<div style="flex:1;display:flex;flex-direction:column;align-items:center"><div style="width:100%;flex:1;display:flex;flex-direction:column;justify-content:flex-end"><div style="height:${pct}%;background:var(--ac);border-radius:2px 2px 0 0;min-height:2px;position:relative" title="${s.n} events">${ep>0?`<div style="height:${ep}px;max-height:100%;background:var(--rd);position:absolute;bottom:0;left:0;right:0;border-radius:2px 2px 0 0"></div>`:''}</div></div><div class="bl">${s.h}</div></div>`}).join('');
// Donut
const bt=s.by_event_type||[],tot=bt.reduce((s,d)=>s+(d.cnt||0),0)||1;
const top=bt.slice(0,6);let off=0;const cx=18,cy=18,r=15.9,c=2*Math.PI*r;
let paths='<circle cx="18" cy="18" r="15.9" fill="none" stroke="#1c1c2e" stroke-width="3.5"/>';
top.forEach(d=>{const p=d.cnt/tot,dash=p*c,col=TC[d.event_type]||'#555';paths+=`<circle cx="${cx}" cy="${cy}" r="${r}" fill="none" stroke="${col}" stroke-width="3.5" stroke-dasharray="${dash} ${c-dash}" stroke-dashoffset="${-off*c}" transform="rotate(-90 18 18)"/>`;off+=p});
document.getElementById('donut').innerHTML=paths;
document.getElementById('leg').innerHTML=top.slice(0,5).map(d=>`<div class="li"><span class="ld" style="background:${TC[d.event_type]||'#555'}"></span><span>${d.event_type}</span><span class="lv">${d.cnt}</span></div>`).join('');
}
async function loadFeed(){
const p=new URLSearchParams({since_hours:W,limit:120});
['fA','fT','fS'].forEach((id,i)=>{const v=document.getElementById(id).value,k=['agent','event_type','status'][i];if(v)p.set(k,v)});
events=(await(await fetch('/api/traces?'+p)).json()).events||[];
renderFeed();
}
function renderFeed(){
const f=document.getElementById('feed');
if(!events.length){f.innerHTML='<div class="empty">No events in window</div>';return}
f.innerHTML=events.map(e=>{const t=new Date(e.ts*1000).toTimeString().slice(0,8),lat=e.latency_ms?Math.round(e.latency_ms)+'ms':'',prev=e.error_msg||e.tool_name||e.skill_id||e.model||'';return`<div class="erow${e.id===selId?' sel':''}" onclick="selectEv('${e.id}')"><span style="color:var(--mu);font-size:.63rem">${t}</span><span style="color:var(--ac);font-weight:700">${e.agent}</span><span class="et type-${e.event_type}">${e.event_type}</span><span style="color:var(--mu);overflow:hidden;text-overflow:ellipsis;white-space:nowrap">${esc(prev)}</span><span style="text-align:right;color:${e.status==='error'?'var(--rd)':'var(--mu)'}">${lat||e.status}</span></div>`}).join('');
}
function selectEv(id){
selId=id;renderFeed();
const e=events.find(x=>x.id===id);if(!e)return;
document.getElementById('rtitle').textContent=e.event_type+' — '+e.agent;
const fields=[['ID',e.id],['Agent',e.agent],['Type',e.event_type],['Status',`<span style="color:${e.status==='error'?'var(--rd)':'var(--gr)'}">${e.status}</span>`],['Time',new Date(e.ts*1000).toISOString()],['Session',e.session_id||'—'],['Task',e.task_id||'—'],['Latency',e.latency_ms?e.latency_ms+'ms':'—'],['Model',e.model||'—'],['Tool',e.tool_name||'—'],['Skill',e.skill_id||'—'],['Tokens',e.tokens_in||e.tokens_out?`${e.tokens_in||0} in / ${e.tokens_out||0} out`:'—'],['Reward',e.reward!=null?e.reward:'—'],['Error',e.error_msg||'—']];
const fh=fields.filter(([,v])=>v&&v!=='—').map(([l,v])=>`<div class="df"><div class="dfl">${l}</div><div class="dfv">${v}</div></div>`).join('');
let ph='';try{const p=typeof e.payload==='string'?JSON.parse(e.payload):e.payload;if(p&&Object.keys(p).length)ph=`<div class="df"><div class="dfl">Payload</div><pre class="dj">${esc(JSON.stringify(p,null,2))}</pre></div>`}catch(x){}
const rw=e.reward!=null?`<div style="margin-top:.4rem;padding:.4rem;background:#001f08;border:1px solid var(--gr);border-radius:5px;font-family:'DM Mono',monospace;font-size:.72rem;color:var(--gr);text-align:center">🏆 Reward: <strong>${e.reward}</strong></div>`:'';
document.getElementById('dp').innerHTML=fh+ph+rw;
}
function fmt(n){return n>=1000?(n/1000).toFixed(1)+'k':String(n||0)}
function fmtk(n){return n>=1000000?(n/1000000).toFixed(1)+'M':n>=1000?(n/1000).toFixed(0)+'k':String(n||0)}
function esc(s){return String(s||'').replace(/&/g,'&').replace(/</g,'<').replace(/>/g,'>')}
loadAll();setInterval(loadAll,5000);
</script></body></html>"""
@app.get("/", response_class=HTMLResponse)
async def root(): return HTMLResponse(content=SPA, media_type="text/html; charset=utf-8")
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=PORT, log_level="info")
|