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* feat(docker): add container deployment and multi-platform release workflow * fix(llm): initialize providers on model access and preserve runtime injection * test(llm): keep rejected model updates independent of credentials
18 lines
620 B
Bash
18 lines
620 B
Bash
# Copy to the repository's .env for Docker Compose; keep real credentials private.
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# File operations and BM25 search work without model credentials.
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LLM_API_KEY=
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LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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LLM_MODEL_NAME=qwen3.7-plus
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# Host settings: create this directory before starting Compose.
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REME_DATA_DIR=./.reme
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REME_PUBLISHED_PORT=2333
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# On Linux, set these to the outputs of `id -u` and `id -g` so files remain yours.
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REME_UID=1000
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REME_GID=1000
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# Optional container settings.
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# REME_TIMEZONE=Asia/Shanghai
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# REME_CONFIG=/etc/reme/config.yaml
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# REME_IMAGE=ghcr.io/agentscope-ai/reme:main
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