How long does the integration take?

Change one base URL in an OpenAI-compatible client, or install the Python or TypeScript SDK; the quickstart routes a first request in a few minutes.

Will this lock us into another vendor?

No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.

What happens when a provider fails?

The router falls back to the next model your policy allows and records the fallback in the trace, so an outage costs a retry, not an incident.

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OpenSmartRoute

avance_iteracion - Prompt - OpenSmartRoute

Promptv1.0.0

avance_iteracion

Name: avance_iteracion
Author: GiovanniCieri

Lee primero:

by GiovanniCieri(0) 0 installs

Free

Free account. Installing gives you the manifest plus copy-paste snippets.

See reviews

About

Prompt file imported from GiovanniCieri/Machine_Learning (.codex/prompts/avance_iteracion.md). Copyright stays with the author.

Prompt - Avance de iteracion

Lee primero:

estado_actual.md
ruta_implementacion.md
roadmap_implementacion.md
La skill .codex/skills/unilink-rag/SKILL.md
El ultimo archivo en changes/

Luego:

Identifica la siguiente tarea no completada de mayor prioridad.
Implementala de punta a punta si es posible.
Ejecuta verificaciones relevantes.
Crea un nuevo archivo en changes/NNNN-descripcion.md.
Actualiza estado_actual.md.
Actualiza el estado de fases o hitos en ruta_implementacion.md y roadmap_implementacion.md.

Reglas:

No agregar mejoras sorpresa antes del MVP funcional.
No perder trazabilidad de decisiones.
No cerrar una fase sin criterio de salida verificable.
Si algo no se pudo verificar, registrarlo explicitamente.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

# Prompt - Avance de iteracion

Lee primero:

1. `estado_actual.md`
2. `ruta_implementacion.md`
3. `roadmap_implementacion.md`
4. La skill `.codex/skills/unilink-rag/SKILL.md`
5. El ultimo archivo en `changes/`

Luego:

1. Identifica la siguiente tarea no completada de mayor prioridad.
2. Implementala de punta a punta si es posible.
3. Ejecuta verificaciones relevantes.
4. Crea un nuevo archivo en `changes/NNNN-descripcion.md`.
5. Actualiza `estado_actual.md`.
6. Actualiza el estado de fases o hitos en `ruta_implementacion.md` y `roadmap_implementacion.md`.

Reglas:

- No agregar mejoras sorpresa antes del MVP funcional.
- No perder trazabilidad de decisiones.
- No cerrar una fase sin criterio de salida verificable.
- Si algo no se pudo verificar, registrarlo explicitamente.

Installed into a catalogue, chosen by a router

Install avance_iteracion and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

Photo: RDNE Stock project

For the business

What it costs to adopt - in engineering time.

Same client, same code
One base URL
The OpenAI-compatible endpoint answers your existing SDK calls; model=auto lets the router choose.
The SDKs
One URL, every vendor
No vendor lock-in
Point your OpenAI-compatible client at one address; add, swap or retire providers in the catalogue without touching application code.
Every vendor side by side
Next eligible model answers
Failover built in
When a provider is down or over quota the request moves on; the trace says it did.

Manifest

The prompt text and its fill-in variables. Copy it or fetch it by URL from your own code.

giovannicieri-machine-learning-avance-iteracion-codex-prompt.prompt.jsonjson

{
  "prompt": "# Prompt - Avance de iteracion\n\nLee primero:\n\n1. `estado_actual.md`\n2. `ruta_implementacion.md`\n3. `roadmap_implementacion.md`\n4. La skill `.codex/skills/unilink-rag/SKILL.md`\n5. El ultimo archivo en `changes/`\n\nLuego:\n\n1. Identifica la siguiente tarea no completada de mayor prioridad.\n2. Implementala de punta a punta si es posible.\n3. Ejecuta verificaciones relevantes.\n4. Crea un nuevo archivo en `changes/NNNN-descripcion.md`.\n5. Actualiza `estado_actual.md`.\n6. Actualiza el estado de fases o hitos en `ruta_implementacion.md` y `roadmap_implementacion.md`.\n\nReglas:\n\n- No agregar mejoras sorpresa antes del MVP funcional.\n- No perder trazabilidad de decisiones.\n- No cerrar una fase sin criterio de salida verificable.\n- Si algo no se pudo verificar, registrarlo explicitamente.",
  "variables": [],
  "notes": "Lee primero:",
  "metadata": {
    "source": {
      "provider": "github-codex-prompts",
      "repository": "https://github.com/GiovanniCieri/Machine_Learning",
      "path": ".codex/prompts/avance_iteracion.md",
      "ref": "4afd13229f823ed02eaf1c1622411dbdd2f6b443",
      "url": "https://github.com/GiovanniCieri/Machine_Learning/blob/4afd13229f823ed02eaf1c1622411dbdd2f6b443/.codex/prompts/avance_iteracion.md",
      "key": "GiovanniCieri/Machine_Learning/.codex/prompts/avance_iteracion.md"
    }
  }
}

Fetch it by URL: GET /api/v1/registry/giovannicieri-machine-learning-avance-iteracion-codex-prompt/manifest?version=1.0.0

About

Prompt - Avance de iteracion

Use it

Install avance_iteracion and it becomes one more candidate the router can pick - when it fits.

What it costs to adopt - in engineering time.

One base URL

No vendor lock-in

Failover built in

Manifest

Reviews