| Name | crewmaster JSON |
| Version |
0.1.13
JSON |
| download |
| home_page | None |
| Summary | Orchestrates interactions between AI agents, with built-in LLM vendor independence. |
| upload_time | 2025-09-02 18:36:44 |
| maintainer | None |
| docs_url | None |
| author | Imolko |
| requires_python | <3.14,>=3.12.3 |
| license | None |
| keywords |
ai
llm
agent
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Crewmaster
Orchestrates interactions between AI agents, with built-in LLM vendor independence.
## Getting Started
```
pip install crewmaster
```
## Variables de entorno
Necesitas crear un archivo .env con las siguientes variables de entorno de openai
```
LLM_API_KEY_OPEN_AI=DEFAULT
LLM_MODEL_OPEN_AI="gpt-3.5-turbo"
LLM_TEMPERATURE_OPEN_AI=0
```
## Instalar dependencias
1. Activar entorno virtual
```
poetry env use python
```
2. Instalar
```
poetry install
```
## Ejecutar los test
1. Ejecutar todos los test
```
poetry run pytest
```
2. Se puede utilizar pytest para hacer los tests:
```
poetry run pytest ./ruta/a/probar --capture=no
```
3. Pytest no ofrece un modo "watch". Si quiere utilizar un modo watch debes ejecutar:
```
poetry run ptw ./ruta/a/monitorear ./ruta/a/probar --capture=no
```
4. Si se quiere probar sólo algún test, se puede agregar la marca `@pytest.mark.mi_marca` y luego ejecutar con el parámetro -k=mi_marca.
```
# test.py
@pytest.mark.mi_marca
def test_check...
# console
poetry run ptw ./ruta/a/monitorear ./ruta/a/probar --capture=no -k=mi_marca
```
Publicación en pypi
=====
La librería se publica automáticamente en Pypi con cada merge que se hace en los branchs de develop (beta) y master (production).
Puedes ver más información en la [documentación para pypi](docs/pypi.md).
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