---
title: "cv-santiago"
type: "tool"
slug: "santifer-cv-santiago"
canonical_url: "https://www.graphcanon.com/tools/santifer-cv-santiago"
github_url: "https://github.com/santifer/cv-santiago"
homepage_url: "https://santifer.io"
stars: 729
forks: 259
primary_language: "HTML"
license: null
categories: ["evaluation-observability", "ai-agents"]
tags: ["llmops", "llm", "ai", "portfolio", "observability", "claude", "chatbot", "langfuse"]
updated_at: "2026-07-07T18:49:15.848843+00:00"
---

# cv-santiago

> Interactive CV with AI chat integration

A portfolio website showcasing interactive features powered by an integrated AI chatbot. The site includes agentic retrieval-augmented generation, extensive evaluative tests, and observability tracking.

## Facts

- Repository: https://github.com/santifer/cv-santiago
- Homepage: https://santifer.io
- Stars: 729 · Forks: 259 · Open issues: 4 · Watchers: 4
- Primary language: HTML
- Last pushed: 2026-07-02T17:11:37+00:00

## Categories

- [Evaluation & Observability](/categories/evaluation-observability.md)
- [AI Agents](/categories/ai-agents.md)

## Tags

llmops, llm, ai, portfolio, observability, claude, chatbot, langfuse

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## README (excerpt)

```text
# santifer.io

**[:gb: English](#the-problem)** | **[:es: Español](#es-versión-en-español)**

> Interactive portfolio with AI chatbot (text + voice), agentic RAG, 71 automated evals, LLMOps dashboard, and 6-layer prompt injection defense




---

<p align="center">
  <img src="docs/hero.gif" alt="santifer.io in motion" width="100%" />
</p>

---

## The Problem

Static CVs don't show what you can actually build. A PDF lists skills — it doesn't prove them.

## The Solution

A production-grade interactive portfolio that **demonstrates the skills it describes**: dual-mode AI chatbot (text + voice) with agentic RAG, full LLMOps observability with custom dashboard, 71 automated evals as CI gate, prompt versioning, and a closed-loop that generates tests from production failures.

**Key Features:**
- **AI Chatbot "Santi"** — Text (Claude Sonnet) + Voice (OpenAI Realtime API). Responds in first person as Santiago. Agentic RAG with hybrid search (pgvector + BM25) and Haiku reranking
- **6-Layer Defense** — Keyword detection, canary tokens, fingerprinting, anti-extraction, online safety scoring, adversarial red team. Real-time jailbreak email alerts
- **71 Automated Evals** — 10 categories: factual accuracy, persona, boundaries, quality, safety, language, RAG quality, multi-turn, source badges, voice quality. CI gate on every push
- **LLMOps Dashboard** — Private `/ops` with 8 tabs: Overview, Conversations, Costs, RAG, Security, Evals, Voice, System. Real data from Langfuse + Supabase
- **Closed Loop** — Trace → online scoring → quality < 0.7 → auto-generate test → CI gate blocks deploy
- **Voice Mode** — OpenAI Realtime API, audio-to-audio, shared RAG pipeline, ~$0.25/session
- **6 Published Case Studies** — Bilingual (ES/EN) with JSON-LD, prerendered HTML, cross-linked RAG, and interactive architecture diagrams
- **Interactive Architecture Diagram** — GSAP-animated SVG with narrated audio, pan/zoom, dark mode sync. [Explore it →](https://santifer.io/self-healing-chatbot#architecture)
- **GEO-ready** — `llms.txt`, structured data (JSON-LD), AI crawler-friendly robots.txt

---

## Tech Stack












---

## Chatbot Architecture


> **[Explore the interactive diagram →](https://santifer.io/self-healing-chatbot#architecture)** 10 phases · narrated audio · zoom + pan

```
User message → FloatingChat.tsx → api/chat.js (Vercel Edge)
                                    ├── System prompt (Langfuse registry + fallback)
                                    ├── Claude Sonnet (tool_use decision)
                                    ├── Agentic RAG (if needed):
                                    │     ├── OpenAI embeddings (text-embedding-3-small)
                                    │     ├── Supabase pgvector (semantic) + full-text (BM25)
                                    │     └── Claude Haiku (reranking + diversification)
                                    ├── Claude Sonnet (streaming generation)
                                    ├── Langfuse tracing (every span with cost)
                                    └── waitUntil → Haiku scoring (0ms added latency)

Voice mode → useVoiceMode.ts → api/voice-token.js → OpenAI Realtime WebSocket
                                  └── api/rag-search.js (function calling for RAG)
```

### Key Files

| File | Path | Description |
|------|------|-------------|
| Chat edge function | `api/chat.js` | Main chatbot — RAG, tracing, scoring, streaming, defense |
| RAG pipeline | `api/_shared/rag.js` | Hybrid search, reranking, cost tracking, intent classification |
| Prompt management | `api/_shared/prompt.js` | Langfuse prompt registry with file fallback |
| Voice token | `api/voice-token.js` | OpenAI Realtime ephemeral token + rate limiting |
| Voice RAG | `api/rag-search.js` | RAG search for voice mode function calling |
| Voice trace | `api/voice-trace.js` | Voice session tracing with cost estimation |
| Chat widget | `src/FloatingChat.tsx` | React widget — streaming SSE, quick prompts, contact CTA |
| Voi
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/santifer-cv-santiago`](/api/graphcanon/tools/santifer-cv-santiago)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_