智能路由

http://localhost:3000/mcp/$smart/production

SMART_ROUTING_PROGRESSIVE_DISCLOSURE=true

SMART_ROUTING_SERVER_DESCRIPTION_MODE=full

# EmbeddingGemma
SMART_ROUTING_EMBEDDING_QUERY_PREFIX="task: search result | query: "
SMART_ROUTING_EMBEDDING_DOCUMENT_PREFIX="title: none | text: "

# 结果的最低相似度（0-1）。未设置时按查询长度决定：
# 短查询 0.2，长查询或包含 "specific"/"exact" 的查询 0.4，其余 0.3。
SMART_ROUTING_SIMILARITY_THRESHOLD=0.45

# 只有前 N 个结果带完整定义（inputSchema 等）；其余结果只有名称、描述和分数，
# 并会列出 describe_tool 以获取其 schema。未设置时所有结果都返回完整定义。启用渐进式披露时忽略。
SMART_ROUTING_FULL_SCHEMA_TOP_N=3

# 完整结果（以及 describe_tool）在名称、描述和 inputSchema 之外附带的可选工具字段：
# title、annotations、outputSchema、execution、icons、_meta。"none" 表示都不附带。默认：title,annotations。
SMART_ROUTING_TOOL_DEFINITION_FIELDS=title,annotations

{
  "tools": [
    {
      "name": "read_file",
      "description": "读取文件内容",
      "inputSchema": {
        "type": "object",
        "properties": {
          "path": { "type": "string", "description": "要读取的文件路径" },
          "encoding": { "type": "string", "default": "utf-8" }
        },
        "required": ["path"]
      },
      "score": 0.71
    }
  ]
}

{
  "tools": [
    {
      "name": "read_file",
      "description": "读取文件内容",
      "score": 0.71
    }
  ],
  "metadata": {
    "progressiveDisclosure": true,
    "guideline": "使用 describe_tool 获取完整的参数模式后再调用。"
  }
}

{
  "tool": {
    "name": "read_file",
    "description": "读取文件内容",
    "inputSchema": {
      "type": "object",
      "properties": {
        "path": { "type": "string", "description": "要读取的文件路径" },
        "encoding": { "type": "string", "default": "utf-8" }
      },
      "required": ["path"]
    }
  }
}

psql $DB_URL -c "SELECT 1;"

curl -X POST https://api.openai.com/v1/embeddings \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "test", "model": "text-embedding-3-small"}'

# 重新索引所有工具（全量强制：先清空 vector_embeddings，再对全部已启用服务器重新生成嵌入；
# 需要个人凭据的服务器会以已绑定凭据的用户身份（所有者优先）重建，并索引其可见工具的并集；
# 同步执行，逐台进度通过 SSE embedding-sync-progress 事件推送）
curl -X POST http://localhost:3000/api/smart-routing/reindex \
  -H "Authorization: Bearer YOUR_JWT_TOKEN"

# 查看向量库状态与性能指标（配置、数据库连接状态、行数、按模型/服务器统计、同步新鲜度、索引覆盖率）
curl http://localhost:3000/api/smart-routing/performance \
  -H "Authorization: Bearer YOUR_JWT_TOKEN"

curl -X POST "${OPENAI_API_BASE_URL:-https://api.openai.com/v1}/embeddings" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "test", "model": "text-embedding-3-small"}'