50 lines
915 B
Markdown
50 lines
915 B
Markdown
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# PENNY - Personal ENgaging Natural Yielder
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## Descripción
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Asistente de voz conversacional que orquesta GRACE y Claude API.
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## Endpoint RunPod
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- ID: `0mxhaokgsmgee3`
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- URL: `https://api.runpod.ai/v2/0mxhaokgsmgee3/runsync`
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- Workers: 2
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- GPU: NVIDIA L4
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## Código
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Ubicación: `s3://architect/gpu-services/penny/code/handler.py`
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## Flujo
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```
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Audio → PENNY → GRACE/ASR → Claude API → GRACE/TTS → Audio
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↓
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CLARA (contexto)
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```
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## Uso
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```json
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{
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"input": {
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"audio_base64": "...",
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"session_id": "user_123",
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"language": "es",
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"personality": "...",
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"voice_id": "default"
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}
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}
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```
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## Respuesta
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```json
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{
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"text_input": "lo que dijo el usuario",
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"text_output": "respuesta de Claude",
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"audio_base64": "audio de respuesta",
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"trace_id": "...",
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"session_id": "user_123"
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}
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```
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## Dependencias
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- GRACE (ASR/TTS)
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- CLARA (contexto)
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- Claude API
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