conseguir_datos_con_agentes

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T

egutierrez 28e50b921c feat: Implement new sales data analysis agents and utilities

- Added Router_de_agentes.py to manage agent interactions for sales data analysis.
- Created Analizador_de_datos_de_ventas.yaml for generating structured text reports from sales data.
- Developed Generador_sql_ventas.yaml for generating SQL queries to analyze sales data.
- Established Router_de_agente.yaml as a routing mechanism for agent requests.
- Compiled centros_disponibles.md listing available sales centers.
- Introduced primera_ejecucion_de_un_agente.py as an example for executing agents.
- Added ver_los_prompts_de_un_agente.py to inspect prompts sent to OpenAI.
- Included service account key for BigQuery access in rag-datasets-reader-sa-key.json.
- Defined schema for sales data in Objeto_ventas.json.
- Implemented utility functions for querying BigQuery in conseguir_datos_bq.py.
- Created data transformation utilities in transformar_datos.py for handling decimal and date formats.

2025-10-06 18:48:19 +02:00

__marimo__/session

Implementa un agente financiero que consulta información sobre la inflación en Argentina utilizando OpenAI y herramientas de Wikipedia y Yahoo Finance. Se define un flujo de trabajo en Prefect para gestionar la ejecución y el registro de mensajes enviados al modelo.

2025-10-05 22:00:40 +02:00

agents

feat: Implement new sales data analysis agents and utilities

2025-10-06 18:48:19 +02:00

backend

2025-10-05 22:00:40 +02:00

config

2025-10-05 22:00:40 +02:00

detalles_para_agentes