Pine
7f25c8f6bb
- main.py：uv run main.py 一键启动——读取 backend/.env、TORCH_HOME/NLTK_DATA 指向项目内缓存、certifi SSL + NO_PROXY 网络直连、默认开启 s2s，启动横幅 - vendor/：补丁后 s2s 云化栈移入项目（backend/vendor/s2s-cloud），pyproject sources 改相对路径 - .gitignore：忽略 .torch-cache / nltk_data 缓存 - AGENTS.md：进程管理铁律（AI 不启动/重启服务，由用户操作）
73 lines
1.4 KiB
YAML
73 lines
1.4 KiB
YAML
---
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services:
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llama:
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image: ghcr.io/ggml-org/llama.cpp:server-cuda
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command:
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- -hf
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- ggml-org/gemma-4-E4B-it-GGUF
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- -np
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- "2"
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- -c
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- "65536"
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- -fa
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- "on"
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- --swa-full
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- --host
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- 0.0.0.0
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- --port
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- "8080"
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ports:
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- 8080:8080/tcp
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volumes:
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- ./cache/:/root/.cache/
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids: ['0']
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capabilities: [gpu]
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pipeline:
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depends_on:
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- llama
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build:
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context: .
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dockerfile: ${DOCKERFILE:-Dockerfile}
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command:
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- speech-to-speech
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- --mode
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- socket
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- --recv_host
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- 0.0.0.0
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- --send_host
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- 0.0.0.0
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- --llm_backend
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- responses-api
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- --model_name
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- ggml-org/gemma-4-E4B-it-GGUF
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- --responses_api_base_url
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- http://llama:8080/v1
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- --responses_api_api_key
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- ""
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- --init_chat_role
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- system
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- --init_chat_prompt
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- "You are a helpful assistant"
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expose:
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- 12345/tcp
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- 12346/tcp
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ports:
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- 12345:12345/tcp
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- 12346:12346/tcp
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volumes:
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- ./cache/:/root/.cache/
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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device_ids: ['0']
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capabilities: [gpu]
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