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switchboard-100.pages.dev

switchboard-100.pages.dev

live Unverified (seed import) AI & Agents 15 tools imperative implementation

Human + agent control center for LLM provider budgets, priced model catalogs and routing policy. Agent-ready via WebMCP.

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 11 · Act 3 · Transact 1 · Score: Not yet scored

Tool inspector

simulate_policy

answer imperative

Project what a candidate routing policy would cost and deliver, WITHOUT applying it. Classes you omit keep their current routing. Definitions: deliveredRatePct is the chain-level probability that some link succeeds, i.e. 1 minus the product of every link failing — this, not a single model's requestSuccessRate, is what a class's minSuccessRate is judged against. expectedLatencyMs is the probability-weighted median across the chain. worstCaseLatencyMs is the SUM of p95 across the WHOLE chain — what a request pays if every link but the last fails. It is reported unconditionally, so it never understates the tail; read tailRiskProbability alongside it, which is the chance of getting past the primary at all. HOW A LATENCY CEILING IS JUDGED, because the two rules interact: a fallback whose own p95 exceeds the ceiling is a WARNING, not a blocker, since a slow answer beats no answer — so the class stays permissible. But the chain's summed worst case is checked too and raises a CHAIN_LATENCY warning when it exceeds the ceiling. So a chain can be permissible and still carry a flagged tail. Say which you mean: "the primary meets your 4s ceiling; the chain can reach Xms in the Y% of cases where the primary fails" is the honest phrasing. Cost counts every attempt, since a failed call is still billed. The candidate's compliance verdict is returned here too and is the same computation check_compliance runs, so you do not need both — call check_compliance only when you want to audit the LIVE policy. One side effect: this repaints the projection on the operator's screen so they can follow your reasoning, so iterate deliberately rather than sweeping dozens of candidates.

Input schema

PropertyTypeRequiredDescription
rules array yes Candidate routing rules. One entry per traffic class you want to change; classes you omit keep their current rule.
label string no Short human-readable name for this candidate, shown on screen.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "rules": {
      "type": "array",
      "description": "Candidate routing rules. One entry per traffic class you want to change; classes you omit keep their current rule.",
      "items": {
        "type": "object",
        "properties": {
          "classId": {
            "type": "string",
            "description": "Traffic class this rule routes."
          },
          "primaryModelId": {
            "type": "string",
            "description": "Model tried first, e.g. 'opencode-go/minimax-m3'."
          },
          "fallbackModelIds": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Models tried in order if the primary fails. Pass [] for no fallback."
          }
        },
        "required": [
          "classId",
          "primaryModelId",
          "fallbackModelIds"
        ]
      }
    },
    "label": {
      "type": "string",
      "description": "Short human-readable name for this candidate, shown on screen."
    }
  },
  "required": [
    "rules"
  ]
}

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