AI:编排
AI 编排将三者串联:引擎在用户状态中检测时机、选定群组并选择行动,于是无需手动逐步接线,闭环即可运行。
At a glance
- GraphQL
aiquery: summarise, explain, suggest- MCP
- Every
prodantix.*tool, callable by an agent - MCP host
https://eu.mcp.prodantix.com- Auth
- Access token
- 在实时状态中检测关键时刻
- 选择合适的群组和合适的行动
- 闭合循环:行动成为引擎从中学习的下一个事件
工作原理
Every answer is grounded in rows the caller could already read. Citations are resolved server-side from a built candidate list rather than taken from the model’s reply, so an answer can only point at something that exists and the caller is entitled to see.
如何访问
| Surface | Operation |
|---|---|
| GraphQL | ai query: summarise, explain, suggest |
| MCP | every prodantix.* tool, callable by an agent |
示例
GraphQL
query Explain($projectId: String!) {
ai {
explainMetric(
projectId: $projectId
metric: "order.completed"
window: "P7D"
) {
summary
citations { kind id }
}
}
}Pointing an agent at prodantix
The MCP surface exposes the same capabilities to an autonomous agent. See MCP for the tool list and protocol details.
JSON
{
"mcpServers": {
"prodantix": {
"url": "https://eu.mcp.prodantix.com/mcp",
"headers": { "Authorization": "Bearer <access token>" }
}
}
}