feat: v1 — boilerplate WxO + web
Boilerplate completo para construir soluciones agénticas sobre IBM watsonx Orchestrate (ADK 2.x) con una capa web encima. Destilado de cotemar-poc-n1 y dun-casos-prueba. Incluye: - 11 docs (best practices, architecture patterns, ADK cheatsheet, observability, tool authoring, deployment, RUNBOOK, DEPLOY_TO_NEW_WOX, known-issues con 16 errores reales y fix, eval strategy, INDEX) - 13 templates WxO (orchestrator/specialist/single-meta agents, 3 connections, KB + runbook, observable_tool decorator, coercion helpers, Python tools, OpenAPI spec, backend filter endpoint, webhook validator HMAC, MCP connection) - 6 scripts (deploy idempotente con fallback ADK, undeploy, reset, check-adk-version, new-specialist scaffold, eval-agents runner) - 4 eval pieces (linter de best practices, runner, smoke-test, direct backend probe) + scenario templates - 8 subagentes Claude (.claude/agents/) — wxo-architect, wxo-agent-author, wxo-tool-author, runbook-author, mock-builder, backend-tool-builder, eval-author, web-layer-builder - Skill bundle fit-wxo-bootstrap/ (SKILL.md + 3 templates) listo para copiar a ~/.claude/skills/ - Web layer default FastAPI+HTMX con vista timeline observable + endpoint receptor de trazas - Docker compose Coolify-ready (healthcheck wget -qO-, sin labels Traefik, network split internal:true) - CI Gitea workflow con lint + smoke Best practices enforced por evals/lint_wxo_yaml.py: - A1: máx 10 tools por agente - A3: orchestrator sin tools de remediación - A6: agente sin propósito (react sin tools ni KB) - T1: @observable_tool obligatorio, no @tool directo - T3: _compat shim inline en tools.py - D1: docker-compose sin wget --spider - I-005: OpenAPI con description per-operation - I-009: sin labels Traefik manuales Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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web/_default_fastapi_htmx/app/main.py
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web/_default_fastapi_htmx/app/main.py
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"""Web layer default — FastAPI + Jinja2 + HTMX.
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Estructura mínima viable para demos / control planes. Incluye:
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- / landing con embed WxO
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- /traces timeline observable de tool calls
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- /api/traces endpoint que recibe trazas del decorator @observable_tool
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- /health healthcheck para Coolify/Traefik
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Reemplazá lo que necesites o usá esto como base para extender.
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"""
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from __future__ import annotations
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import json
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import os
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import sqlite3
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from contextlib import asynccontextmanager
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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from fastapi import FastAPI, Request
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from fastapi.responses import HTMLResponse, JSONResponse
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from fastapi.staticfiles import StaticFiles
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from fastapi.templating import Jinja2Templates
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BASE_DIR = Path(__file__).resolve().parent
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TEMPLATES_DIR = BASE_DIR / "templates"
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STATIC_DIR = BASE_DIR / "static"
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TRACES_DB = os.environ.get("TRACES_DB_PATH", "/data/traces.db")
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# WxO embed config (capturar tras deploy)
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WXO_AGENT_ID = os.environ.get("WXO_AGENT_ID", "")
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WXO_INSTANCE_URL = os.environ.get("WXO_INSTANCE_URL", "")
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def _init_db():
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"""Crea la tabla de trazas si no existe."""
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Path(TRACES_DB).parent.mkdir(parents=True, exist_ok=True)
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conn = sqlite3.connect(TRACES_DB)
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conn.execute("""
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CREATE TABLE IF NOT EXISTS traces (
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trace_id TEXT PRIMARY KEY,
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tool TEXT,
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domain TEXT,
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agent_caller TEXT,
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correlation_id TEXT,
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started_at TEXT,
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duration_ms INTEGER,
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payload TEXT
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)
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""")
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conn.execute("CREATE INDEX IF NOT EXISTS ix_started ON traces (started_at)")
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conn.execute("CREATE INDEX IF NOT EXISTS ix_agent ON traces (agent_caller)")
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conn.commit()
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conn.close()
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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_init_db()
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yield
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app = FastAPI(title="Boilerplate Web Layer", lifespan=lifespan)
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templates = Jinja2Templates(directory=str(TEMPLATES_DIR))
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if STATIC_DIR.exists():
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app.mount("/static", StaticFiles(directory=str(STATIC_DIR)), name="static")
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# ─── Routes ─────────────────────────────────────────────────────────────────
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@app.get("/health")
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def health():
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return {"status": "ok"}
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@app.get("/", response_class=HTMLResponse)
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def landing(request: Request):
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return templates.TemplateResponse("index.html", {
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"request": request,
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"wxo_agent_id": WXO_AGENT_ID,
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"wxo_instance_url": WXO_INSTANCE_URL,
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})
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@app.get("/traces", response_class=HTMLResponse)
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def traces_page(request: Request):
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return templates.TemplateResponse("traces.html", {"request": request})
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@app.get("/api/traces/recent")
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def api_traces_recent(since: str | None = None, limit: int = 100):
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"""JSON endpoint — devuelve las últimas N trazas, opcionalmente desde un ISO timestamp."""
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conn = sqlite3.connect(TRACES_DB)
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if since:
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rows = conn.execute(
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"SELECT payload FROM traces WHERE started_at > ? ORDER BY started_at DESC LIMIT ?",
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(since, limit)
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).fetchall()
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else:
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rows = conn.execute(
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"SELECT payload FROM traces ORDER BY started_at DESC LIMIT ?",
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(limit,)
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).fetchall()
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conn.close()
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return {"traces": [json.loads(r[0]) for r in rows]}
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@app.post("/api/traces")
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async def api_traces_post(request: Request):
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"""Endpoint que recibe trazas del decorator @observable_tool con TRACE_SINK=http."""
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trace: dict[str, Any] = await request.json()
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conn = sqlite3.connect(TRACES_DB)
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conn.execute(
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"INSERT OR REPLACE INTO traces VALUES (?, ?, ?, ?, ?, ?, ?, ?)",
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(
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trace.get("trace_id"), trace.get("tool"), trace.get("domain"),
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trace.get("agent_caller"), trace.get("correlation_id"),
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trace.get("started_at"), trace.get("duration_ms"),
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json.dumps(trace),
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),
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)
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conn.commit()
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conn.close()
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return {"ok": True}
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@app.get("/partials/timeline", response_class=HTMLResponse)
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def partial_timeline(request: Request):
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"""HTMX partial — la tabla de trazas para refrescar via hx-trigger."""
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conn = sqlite3.connect(TRACES_DB)
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rows = conn.execute(
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"SELECT payload FROM traces ORDER BY started_at DESC LIMIT 50"
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).fetchall()
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conn.close()
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traces = [json.loads(r[0]) for r in rows]
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return templates.TemplateResponse("_timeline_rows.html", {
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"request": request, "traces": traces,
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})
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