b089c2ef18
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>
44 lines
1.6 KiB
Bash
Executable File
44 lines
1.6 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Compara la versión pineada (2.1.0) con la última disponible en PyPI.
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# Warnea si hay nueva pero NO actualiza automáticamente — Felipe debe correr
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# las evals antes de bumpear.
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set -euo pipefail
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PINNED="2.1.0"
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PACKAGE="ibm-watsonx-orchestrate"
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echo "→ Checking ADK version..."
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echo " Pinned: $PINNED"
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INSTALLED=$(pip show "$PACKAGE" 2>/dev/null | grep -i '^version:' | awk '{print $2}' || echo "not-installed")
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echo " Installed: $INSTALLED"
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LATEST=$(curl -s "https://pypi.org/pypi/$PACKAGE/json" | python3 -c "import sys, json; print(json.load(sys.stdin)['info']['version'])" 2>/dev/null || echo "unknown")
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echo " Latest on PyPI: $LATEST"
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if [ "$INSTALLED" != "$PINNED" ]; then
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echo ""
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echo "⚠ Installed ($INSTALLED) does NOT match pinned ($PINNED)."
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echo " Run: pip install '${PACKAGE}==${PINNED}'"
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fi
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if [ "$LATEST" != "$PINNED" ] && [ "$LATEST" != "unknown" ]; then
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echo ""
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echo "ℹ Nueva versión disponible en PyPI: $LATEST (pin: $PINNED)"
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echo " ANTES de actualizar:"
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echo " 1. Crear branch chore/adk-$LATEST"
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echo " 2. pip install '${PACKAGE}==${LATEST}'"
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echo " 3. ./evals/eval-agents.sh ← TODAS deben pasar"
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echo " 4. Si pasan, bumpear el pin en wxo/tools/python/requirements.txt y este script"
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fi
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echo ""
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echo "→ Verificando modelo preferido (gpt-oss-120b)..."
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if orchestrate models list 2>/dev/null | grep -q "gpt-oss-120b"; then
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echo " ✓ gpt-oss-120b disponible"
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else
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echo " ⚠ gpt-oss-120b NO encontrado en este tenant"
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echo " Fallback documentado: meta-llama/llama-3-3-70b-instruct (con caveat I-002)"
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fi
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