Crawler Summary

ai-engineer-portfolio answer-first brief

Proyectos de AI Engineering — CrewAI, agentes y sistemas multi-agente AI Engineer Portfolio Proyectos de AI Engineering construidos con CrewAI, LangChain y LangGraph. Cubren sistemas multi-agente, RAG, tool use y flujos conversacionales con estados. --- Proyectos 1. Crew Investigador de Temas **Archivo:** mi_primer_crew.py Equipo de 3 agentes que trabajan en cadena para investigar cualquier tema y producir un resumen ejecutivo. **Agentes:** Investigador Senior → Analista Crítico → Reda Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

ai-engineer-portfolio is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

ai-engineer-portfolio

Proyectos de AI Engineering — CrewAI, agentes y sistemas multi-agente AI Engineer Portfolio Proyectos de AI Engineering construidos con CrewAI, LangChain y LangGraph. Cubren sistemas multi-agente, RAG, tool use y flujos conversacionales con estados. --- Proyectos 1. Crew Investigador de Temas **Archivo:** mi_primer_crew.py Equipo de 3 agentes que trabajan en cadena para investigar cualquier tema y producir un resumen ejecutivo. **Agentes:** Investigador Senior → Analista Crítico → Reda

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Tonellijavier

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Tonellijavier

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

pip install crewai crewai-tools python-dotenv litellm pdfplumber

bash

pip install langchain langchain-community langchain-groq langchain-classic chromadb pypdf sentence-transformers python-dotenv

bash

python -m venv venv
venv\Scripts\activate
pip install langgraph langchain-groq langchain-community langchain-core pdfplumber python-dotenv google-auth google-auth-oauthlib google-auth-httplib2 google-api-python-client

bash

pip install langgraph langchain-groq langchain-core python-dotenv psycopg2-binary

text

GROQ_API_KEY=tu-key              # gratis en console.groq.com
SERPER_API_KEY=tu-key            # gratis en serper.dev (proyectos 3 y 5)
DATABASE_URL=postgresql://...    # gratis en console.neon.tech (proyecto 6)
LANGCHAIN_API_KEY=tu-key         # gratis en smith.langchain.com (proyecto 6)
LANGCHAIN_TRACING_V2=true
LANGCHAIN_PROJECT=chatbot-bancario

bash

python mi_primer_crew.py

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Proyectos de AI Engineering — CrewAI, agentes y sistemas multi-agente AI Engineer Portfolio Proyectos de AI Engineering construidos con CrewAI, LangChain y LangGraph. Cubren sistemas multi-agente, RAG, tool use y flujos conversacionales con estados. --- Proyectos 1. Crew Investigador de Temas **Archivo:** mi_primer_crew.py Equipo de 3 agentes que trabajan en cadena para investigar cualquier tema y producir un resumen ejecutivo. **Agentes:** Investigador Senior → Analista Crítico → Reda

Full README

AI Engineer Portfolio

Proyectos de AI Engineering construidos con CrewAI, LangChain y LangGraph. Cubren sistemas multi-agente, RAG, tool use y flujos conversacionales con estados.


Proyectos

1. Crew Investigador de Temas

Archivo: mi_primer_crew.py

Equipo de 3 agentes que trabajan en cadena para investigar cualquier tema y producir un resumen ejecutivo.

Agentes: Investigador Senior → Analista Crítico → Redactor Ejecutivo

Conceptos aplicados: multi-agente secuencial, context entre tareas, system prompt dinámico, temperature diferenciada por agente.


2. Analizador de CVs

Archivo: crew-analiza-cvs.py

Lee un CV en PDF y produce un análisis completo con score, fortalezas, áreas de mejora y las preguntas difíciles que te van a hacer en la entrevista.

Agentes: Evaluador de Perfiles (temperature 0.5) → Coach de Entrevistas (temperature 0.9)

Conceptos aplicados: procesamiento de PDFs con pdfplumber, temperatures distintas según el rol, outputs separados por agente.


3. Investigador de Empresas

Archivo: crew-analiza-empresas.py

Le pasás el nombre de una empresa y un rol, y el crew investiga todo lo que necesitás saber antes de una entrevista — buscando en Google en tiempo real.

Agentes: Investigador con SerperDevTool → Analista → Coach

Conceptos aplicados: tool use real con SerperDevTool, búsquedas en Google en tiempo real, tres temperatures distintas (0.1 / 0.3 / 0.9).


4. Chatbot RAG Dinámico

Carpeta: rag-langchain/

Chatbot que responde preguntas sobre tus documentos en lenguaje natural. Podés agregar PDFs en cualquier momento — el sistema empieza a buscar en todos los documentos cargados. Muestra de qué documento y qué página viene cada respuesta.

Conceptos aplicados: RAG completo, base de datos vectorial con Chroma, embeddings semánticos con HuggingFace, búsqueda por significado (no por palabras exactas).


5. Agente Analizador de Gastos

Carpeta: agente-gastos-gmail/

Agente que lee un extracto bancario en PDF, analiza los gastos, los compara con promedios del sector buscados en Google, y redacta un borrador de mail. El usuario puede pedir cambios antes de confirmar — el agente incorpora todo el feedback y guarda el borrador final en Gmail.

Conceptos aplicados: LangGraph con estados persistentes y edges condicionales, loop de confirmación, integración con Gmail API, feedback acumulativo entre iteraciones.


6. Chatbot Bancario

Carpeta: chatbot-bancario/

Simulador de chatbot bancario con memoria conversacional y base de datos real. El cliente puede consultar saldo, ver movimientos y realizar transferencias.

Decisión de diseño clave: el chatbot tiene dos modos completamente separados. El LLM maneja la conversación libre. Para transferencias, el código toma el control — sin LLM. En operaciones financieras se necesita código determinista, no probabilístico. Las llamadas al LLM se monitorean con LangSmith — las transferencias no generan trazas porque el modelo no participa.

Conceptos aplicados: system prompt dinámico, message history con LangGraph, código determinista para operaciones sensibles, PostgreSQL real con Neon, detección de duplicados, logs de auditoría separados del log de conversación, observabilidad con LangSmith.


Stack

| Framework | Proyectos | |---|---| | CrewAI + LiteLLM | Proyectos 1, 2 y 3 | | LangChain + Chroma | Proyecto 4 | | LangGraph | Proyectos 5 y 6 | | Neon (PostgreSQL) | Proyecto 6 | | LangSmith | Proyecto 6 |

Modelos: Groq (llama-3.3-70b-versatile) — compatible con Claude (Anthropic) y otros via LiteLLM

Tools: SerperDevTool (búsqueda web), pdfplumber (PDFs), HuggingFace Embeddings, Gmail API, psycopg2 (PostgreSQL)


Setup

Proyectos 1, 2 y 3 (CrewAI):

pip install crewai crewai-tools python-dotenv litellm pdfplumber

Proyecto 4 (RAG LangChain):

pip install langchain langchain-community langchain-groq langchain-classic chromadb pypdf sentence-transformers python-dotenv

Proyecto 5 (LangGraph + Gmail):

python -m venv venv
venv\Scripts\activate
pip install langgraph langchain-groq langchain-community langchain-core pdfplumber python-dotenv google-auth google-auth-oauthlib google-auth-httplib2 google-api-python-client

Proyecto 6 (Chatbot Bancario):

pip install langgraph langchain-groq langchain-core python-dotenv psycopg2-binary

Variables de entorno necesarias en .env:

GROQ_API_KEY=tu-key              # gratis en console.groq.com
SERPER_API_KEY=tu-key            # gratis en serper.dev (proyectos 3 y 5)
DATABASE_URL=postgresql://...    # gratis en console.neon.tech (proyecto 6)
LANGCHAIN_API_KEY=tu-key         # gratis en smith.langchain.com (proyecto 6)
LANGCHAIN_TRACING_V2=true
LANGCHAIN_PROJECT=chatbot-bancario

Correr los proyectos

Proyecto 1

python mi_primer_crew.py

Proyecto 2

python crew-analiza-cvs.py

Proyecto 3

python crew-analiza-empresas.py

Proyecto 4

cd rag-langchain
python rag_chatbot.py

Proyecto 5

cd agente-gastos-gmail
venv\Scripts\activate
python test_gmail.py    # solo la primera vez — autentica Gmail
python agente_gastos.py

Proyecto 6

cd chatbot-bancario
python setup_db.py     # solo la primera vez — crea las tablas en Neon
python main.py

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
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MCPOPENCLAW
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activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
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cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
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CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T21:52:35.752Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Tonellijavier",
    "href": "https://github.com/tonellijavier/ai-engineer-portfolio",
    "sourceUrl": "https://github.com/tonellijavier/ai-engineer-portfolio",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:22:13.023Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T20:22:13.023Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-tonellijavier-ai-engineer-portfolio/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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