weichen
b812d1d30f
Embed web/dist, run events in-process, manage brew PG18+pgvector, add PI host sidecar and launch --no-docker; unify MiniMax-M2.7-highspeed pins and record dev acceptance.
115 lines
3.3 KiB
Bash
Executable File
115 lines
3.3 KiB
Bash
Executable File
#!/bin/bash
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set -e
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# Host Go E2E shares bind-mounted workspaces; keep files group/world readable.
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umask 000
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# =============================================================================
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# Pi Agent Container Entrypoint
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# Dynamically configures MiniMax provider (4 core parameters) & Tavily search extension
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# =============================================================================
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# 1. 核心参数配置与规整
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# 1) ENDPOINT URL (默认: https://api.minimaxi.com/v1)
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ENDPOINT_URL="${MINIMAX_ENDPOINT_URL:-https://api.minimaxi.com/v1}"
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# 2) API TOKEN (用户自行设定)
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API_TOKEN="${MINIMAX_API_KEY:-${MINIMAX_API_TOKEN:-}}"
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# 3) MODEL ID (默认: MiniMax-M3)
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MODEL_ID="${MINIMAX_MODEL_ID:-MiniMax-M2.7-highspeed}"
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# 4) API 类型 (用户设定 openai-compatible，规整映射至 pi 的 openai-completions)
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RAW_API_TYPE="${MINIMAX_API_TYPE:-openai-compatible}"
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if [ "$RAW_API_TYPE" = "openai-compatible" ] || [ "$RAW_API_TYPE" = "openai" ]; then
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API_TYPE="openai-completions"
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else
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API_TYPE="$RAW_API_TYPE"
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fi
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echo "================================================================="
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echo " 🚀 Starting Pi-Agent Container"
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echo " - ENDPOINT URL : ${ENDPOINT_URL}"
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echo " - MODEL ID : ${MODEL_ID}"
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echo " - API TYPE : ${API_TYPE} (from ${RAW_API_TYPE})"
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if [ -z "$API_TOKEN" ]; then
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echo " - API TOKEN : [WARNING] MINIMAX_API_KEY is not set yet!"
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else
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MASKED_KEY="${API_TOKEN:0:4}...${API_TOKEN: -4}"
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echo " - API TOKEN : configured (${MASKED_KEY})"
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fi
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if [ -n "$TAVILY_API_KEYS" ] || [ -n "$TAVILY_API_KEY" ]; then
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echo " - TAVILY SEARCH: configured (API Key Pool active)"
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else
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echo " - TAVILY SEARCH: not configured (set TAVILY_API_KEYS to enable)"
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fi
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echo "================================================================="
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# 2. 准备 Pi Agent 运行时目录结构
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PI_DIR="${PI_CODING_AGENT_DIR:-/root/.pi/agent}"
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mkdir -p "${PI_DIR}/extensions"
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mkdir -p "${DATA_DIR:-/app/data/workspaces}"
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# 3. 注入 Tavily Web Search 扩展
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if [ -f "/app/extensions/tavily-search.mjs" ]; then
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cp -f "/app/extensions/tavily-search.mjs" "${PI_DIR}/extensions/tavily-search.mjs"
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fi
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# 4. 动态生成 models.json
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cat <<EOF > "${PI_DIR}/models.json"
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{
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"providers": {
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"minimax": {
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"name": "MiniMax",
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"baseUrl": "${ENDPOINT_URL}",
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"api": "${API_TYPE}",
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"apiKey": "${API_TOKEN}",
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"models": [
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{
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"id": "${MODEL_ID}",
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"name": "${MODEL_ID}",
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"reasoning": true,
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"input": ["text"],
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"contextWindow": 1000000,
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"maxTokens": 131072
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},
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{
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"id": "MiniMax-M2.7-highspeed",
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"name": "MiniMax-M2.7-highspeed",
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"reasoning": true,
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"input": ["text"],
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"contextWindow": 1000000,
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"maxTokens": 131072
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},
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{
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"id": "MiniMax-M3",
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"name": "MiniMax-M3",
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"reasoning": true,
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"input": ["text"],
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"contextWindow": 1000000,
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"maxTokens": 131072
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}
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]
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}
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}
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}
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EOF
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# 5. 生成 settings.json 设置默认 Provider、Model 与全局扩展
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cat <<EOF > "${PI_DIR}/settings.json"
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{
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"defaultProvider": "minimax",
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"defaultModel": "${MODEL_ID}",
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"extensions": [
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"/app/extensions/tavily-search.mjs"
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]
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}
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EOF
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# 6. 执行容器命令
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if [ "$#" -eq 0 ]; then
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exec node /app/runner.mjs
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else
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exec "$@"
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fi
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