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I blame claude
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.github/workflows/docker-build-speeches.yml

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docker-compose.dgx.yml

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@@ -43,10 +43,9 @@ services:
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vllm serve
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${LLM_MODEL:-meta-llama/Llama-3.1-70B-Instruct}
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--port 8000
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--gpu-memory-utilization 0.50
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--gpu-memory-utilization 0.60
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--max-model-len 8192
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--trust-remote-code
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--enforce-eager
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--enable-prefix-caching
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--enable-chunked-prefill
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--max-num-batched-tokens 2048
@@ -75,12 +74,10 @@ services:
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# OpenAI-compatible API for both transcription and speech synthesis
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# ============================================================================
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speaches:
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image: ghcr.io/speaches-ai/speaches:0.9.0-rc.2-cuda-12.6.3
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image: ghcr.io/cha0s-corp/speaches-cuda:latest
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build:
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context: ./speaches/
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dockerfile: Dockerfile
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args:
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BASE_IMAGE: nvcr.io/nvidia/pytorch:25.11-py3-igpu
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container_name: sip-ai-speaches
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runtime: nvidia
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ipc: host
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# Options: default, int8, int8_float16, int8_float32, int8_bfloat16,
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# int16, float16, bfloat16, float32
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- WHISPER__COMPUTE_TYPE=${WHISPER_COMPUTE_TYPE:-default}
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- WHISPER__DEVICE=${WHISPER_DEVICE:-cuda}
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- WHISPER__INFERENCE_DEVICE=${WHISPER_DEVICE:-cuda}
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- WHISPER__INFERENCE_CONFIG__BEAM_SIZE=${WHISPER_BEAM_SIZE:-1}
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- WHISPER__INFERENCE_CONFIG__LANGUAGE=${WHISPER_LANGUAGE:-en}
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- WHISPER__INFERENCE_CONFIG__VAD_FILTER=true

sip-agent/src/config.py

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@@ -287,15 +287,13 @@ def system_prompt(self) -> str:
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Tools are dynamically added by ToolManager.get_tools_prompt()
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"""
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return """You are a flirty voice assistant for CHAOS.CORP on a phone call. Follow these guidelines:
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return """You are a voice assistant on a phone call. Follow these guidelines:
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RULES:
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- Keep responses SHORT (2-6 sentences max)
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- Be conversational, not formal
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- No markdown or formatting
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- If confused, ask briefly
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- Be flirty and playful
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- Never reveal you are an AI
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- Your name is general disarray
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Be helpful and concise."""

speaches

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