El agente de codificación Pi funciona bien para la generación de código, pero carece de acceso web para buscar documentos, API y las mejores prácticas actuales. Agregar una herramienta de búsqueda permite a Pi verificar las versiones de los paquetes, buscar documentación y verificar cambios importantes recientes antes de escribir el código. Cada búsqueda cuesta $0,005.
Requisitos previos
- Agente de codificación Pi instalado
- Python 3.8+
- Una clave API de Scavio de scavio.dev
- Conocimientos básicos de configuración del agente Pi
Guia paso a paso
Paso 1: Crear herramienta de búsqueda para el agente Pi
Cree la función de búsqueda a la que Pi puede llamar durante la generación de código.
Python
import os, requests, json
API_KEY = os.environ['SCAVIO_API_KEY']
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
def pi_web_search(query, num_results=5):
"""Web search tool for Pi coding agent.
Use to look up current documentation, package versions,
API references, and recent breaking changes."""
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': query, 'country_code': 'us', 'num_results': num_results}).json()
results = []
for r in data.get('organic_results', [])[:num_results]:
results.append({'title': r.get('title', ''), 'url': r.get('link', ''),
'snippet': r.get('snippet', '')})
return results
def pi_extract_page(url):
"""Extract content from a documentation page.
Use after search to read full API docs or tutorials."""
data = requests.post('https://api.scavio.dev/api/v1/extract',
headers=SH, json={'url': url}).json()
return data.get('content', '')[:3000]
# Pi tool registration format
tools = [
{'name': 'web_search', 'fn': pi_web_search,
'desc': 'Search web for docs, versions, APIs. Returns title, url, snippet.'},
{'name': 'read_page', 'fn': pi_extract_page,
'desc': 'Read content from a URL. Use for documentation pages.'}
]
print(f'Registered {len(tools)} tools for Pi agent')
for t in tools:
print(f' {t["name"]}: {t["desc"]}')Paso 2: Configurar el agente Pi para utilizar la búsqueda
Agregue la herramienta de búsqueda a la configuración del agente Pi.
Python
# Pi agent config: ~/.pi/tools.json
pi_config = {
'tools': [
{
'name': 'web_search',
'description': 'Search the web for documentation, package versions, and API references. Use before recommending specific versions or APIs.',
'input_schema': {
'type': 'object',
'properties': {
'query': {'type': 'string', 'description': 'What to search for'}
},
'required': ['query']
}
},
{
'name': 'read_page',
'description': 'Read full content from a documentation URL found via search.',
'input_schema': {
'type': 'object',
'properties': {
'url': {'type': 'string', 'description': 'URL to read'}
},
'required': ['url']
}
}
]
}
print('Pi agent tool config:')
print(json.dumps(pi_config, indent=2))
print(f'\nSave to ~/.pi/tools.json and restart Pi agent.')Paso 3: Pruebe el agente Pi con tareas dependientes de la búsqueda
Verifique que el agente utilice la búsqueda para verificaciones de versiones y búsquedas de API.
Python
def simulate_pi_workflow(task):
"""Simulate Pi agent using search during code generation."""
print(f'\n=== Pi Agent: "{task}" ===')
# Step 1: Search for current info
search_query = task.replace('write code to ', '').replace('how to ', '')
results = pi_web_search(f'{search_query} python 2026')
print(f' [Search] {len(results)} results for: {search_query}')
# Step 2: Read top doc
if results and results[0]['url']:
print(f' [Read] {results[0]["title"][:50]}')
print(f' [Snippet] {results[0]["snippet"][:80]}')
# Step 3: Agent generates code with correct info
print(f' [Generate] Code generated with verified versions and APIs')
print(f' [Cost] $0.005 per search')
tasks = [
'write code to connect to PostgreSQL with latest asyncpg',
'how to use FastAPI 0.115 WebSocket middleware',
'create a Pydantic v2 model with computed fields',
]
for task in tasks:
simulate_pi_workflow(task)
print(f'\nTotal cost: ${len(tasks) * 0.005:.3f}')Ejemplo en Python
Python
import os, requests
SH = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
def pi_search(query):
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': query, 'country_code': 'us', 'num_results': 3}).json()
for r in data.get('organic_results', [])[:3]:
print(f' {r["title"]}: {r.get("snippet", "")[:60]}')
pi_search('fastapi latest version 2026')
print('Cost: $0.005')Ejemplo en JavaScript
JavaScript
const SH = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
const data = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: SH,
body: JSON.stringify({ query: 'fastapi latest version 2026', country_code: 'us', num_results: 3 })
}).then(r => r.json());
(data.organic_results || []).slice(0, 3).forEach(r => console.log(r.title));Salida esperada
JSON
Registered 2 tools for Pi agent
web_search: Search web for docs, versions, APIs. Returns title, url, snippet.
read_page: Read content from a URL. Use for documentation pages.
=== Pi Agent: "write code to connect to PostgreSQL with latest asyncpg" ===
[Search] 5 results for: connect to PostgreSQL with latest asyncpg
[Read] asyncpg Documentation - Connection Pool Setup
[Generate] Code generated with verified versions and APIs
[Cost] $0.005 per search
Total cost: $0.015