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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mocks/_example_mock/Dockerfile
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mocks/_example_mock/Dockerfile
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FROM python:3.12-slim
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WORKDIR /app
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COPY mocks/_example_mock/requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY mocks/_example_mock/app/ ./app/
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EXPOSE 8000
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# Healthcheck con `wget -qO-` (issue I-008)
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HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
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CMD wget -qO- http://localhost:8000/health || exit 1
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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mocks/_example_mock/app/__init__.py
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mocks/_example_mock/app/__init__.py
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mocks/_example_mock/app/main.py
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mocks/_example_mock/app/main.py
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"""Mock de ejemplo. Replicá esta estructura para tu mock real.
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Patrones aplicados:
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- /health endpoint (Coolify/Traefik)
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- /admin/reset endpoint (para rehearsals)
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- Pydantic con coerción de tipos (issue I-003)
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- Custom auth header X-Orchestrate-Token (regla C2)
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- Logs estructurados como JSON
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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 sys
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from datetime import datetime, timezone
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from typing import Optional
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from fastapi import FastAPI, Header, HTTPException
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from pydantic import BaseModel, field_validator
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# ─── Helpers de coerción (issue I-003) ──────────────────────────────────────
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def _coerce_int(v):
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if isinstance(v, str) and v.strip().lstrip("-").isdigit():
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return int(v)
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return v
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def _coerce_list(v):
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if isinstance(v, str):
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try:
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return json.loads(v)
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except Exception:
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return [v]
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return v
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# ─── Seed data ──────────────────────────────────────────────────────────────
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SEED = {
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"users": [
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{"username": "juan.perez", "email": "juan.perez@example.com", "active": True, "department": "Finanzas"},
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{"username": "maria.lopez", "email": "maria.lopez@example.com", "active": True, "department": "Operaciones"},
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{"username": "ana.torres", "email": "ana.torres@example.com", "active": False, "department": "RRHH"},
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],
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}
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state: dict = {}
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def _reset():
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global state
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state = {"users": [u.copy() for u in SEED["users"]]}
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_reset()
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# ─── Models ─────────────────────────────────────────────────────────────────
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class LookupInput(BaseModel):
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username: str
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class ExecuteInput(BaseModel):
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target_id: int
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options: list[str] = []
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notify: bool = True
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_coerce_id = field_validator("target_id", mode="before")(_coerce_int)
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_coerce_opts = field_validator("options", mode="before")(_coerce_list)
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# ─── App ────────────────────────────────────────────────────────────────────
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app = FastAPI(title="Example Mock")
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def _log(event: str, **kwargs):
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"""Structured log for Coolify aggregation."""
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payload = {"ts": datetime.now(timezone.utc).isoformat(), "event": event, **kwargs}
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print(json.dumps(payload), file=sys.stdout, flush=True)
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def _check_token(token: Optional[str]):
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expected = os.environ.get("MOCK_API_TOKEN")
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if expected and token != expected:
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raise HTTPException(status_code=401, detail="bad token")
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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.post("/admin/reset")
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def admin_reset():
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"""Para rehearsals: vuelve al seed."""
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_reset()
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_log("admin.reset")
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return {"reset": True}
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@app.post(
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"/users/lookup",
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description="Busca un usuario por username. Devuelve datos del usuario."
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)
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def lookup_user(
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payload: LookupInput,
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x_orchestrate_token: str | None = Header(default=None),
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):
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"""Lookup de usuario — para que el agente decida si actuar."""
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_check_token(x_orchestrate_token)
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user = next((u for u in state["users"] if u["username"] == payload.username), None)
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if not user:
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raise HTTPException(status_code=404, detail="user not found")
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_log("tool.lookup_user", username=payload.username, found=True)
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return user
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@app.post(
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"/execute",
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description="Ejecuta una acción sobre un target_id. Devuelve resultado."
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)
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def execute_action(
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payload: ExecuteInput,
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x_orchestrate_token: str | None = Header(default=None),
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):
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_check_token(x_orchestrate_token)
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_log("tool.execute", target_id=payload.target_id, options=payload.options)
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return {
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"ok": True,
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"target_id": payload.target_id,
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"completed_at": datetime.now(timezone.utc).isoformat(),
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}
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3
mocks/_example_mock/requirements.txt
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mocks/_example_mock/requirements.txt
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fastapi>=0.110.0
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uvicorn[standard]>=0.27.0
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pydantic>=2.5.0
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