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Tehisintellekt: orkestreerimine

Tehisintellekti orkestreerimine seob kolm kokku: mootor tuvastab hetke kasutaja olekus, valib kohordi ja valib tegevuse, nii et silmus töötab, ilma et sa peaksid iga sammu käsitsi ühendama.

At a glance

GraphQL
ai query: summarise, explain, suggest
MCP
Every prodantix.* tool, callable by an agent
MCP host
https://eu.mcp.prodantix.com
Auth
Access token
  • Tuvastab olulise hetke reaalajas olekus
  • Valib õige kohordi ja õige tegevuse
  • Sulgeb silmuse: tegevusest saab järgmine sündmus, millest mootor õpib

Kuidas see töötab

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.

Kust seda leida

SurfaceOperation
GraphQLai query: summarise, explain, suggest
MCPevery prodantix.* tool, callable by an agent

Näide

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>" }
    }
  }
}