thermalmesh-webmcp-lab.pages.dev

{
  "name": "get_cluster_state",
  "kind": "answer",
  "impl": "imperative",
  "description": "Inspect the live ThermalMesh Lab workers, capacities, workload, active routing policy, and current simulated benchmark state before deciding what to change or run.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "configure_cluster",
  "kind": "act",
  "impl": "imperative",
  "description": "Replace the complete ordered list of simulated inference workers. This updates the visible Cluster panel immediately and invalidates benchmark results for the previous cluster.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "workers": {
        "type": "array",
        "minItems": 1,
        "maxItems": 12,
        "description": "The complete ordered worker list. Round Robin uses this order.",
        "items": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "minLength": 1,
              "maxLength": 40,
              "description": "A unique, human-readable worker name."
            },
            "capacity": {
              "type": "number",
              "minimum": 10,
              "maximum": 200,
              "description": "Abstract simulation capacity units, not a hardware benchmark."
            }
          },
          "required": [
            "name",
            "capacity"
          ],
          "additionalProperties": false
        }
      }
    },
    "required": [
      "workers"
    ],
    "additionalProperties": false
  }
}

{
  "name": "configure_workload",
  "kind": "act",
  "impl": "imperative",
  "description": "Update one or more simulated workload settings while preserving omitted values. This updates the visible Workload controls immediately and invalidates prior benchmark results.",
  "inputSchema": {
    "type": "object",
    "minProperties": 1,
    "properties": {
      "request_rate": {
        "type": "number",
        "minimum": 1,
        "maximum": 80,
        "description": "Average incoming requests per simulated second."
      },
      "input_tokens": {
        "type": "integer",
        "minimum": 32,
        "maximum": 32000,
        "description": "Prompt/input tokens per request."
      },
      "output_tokens": {
        "type": "integer",
        "minimum": 16,
        "maximum": 4096,
        "description": "Expected generated tokens per request."
      },
      "duration_seconds": {
        "type": "number",
        "minimum": 5,
        "maximum": 180,
        "description": "Simulated run duration in seconds."
      },
      "traffic_pattern": {
        "type": "string",
        "enum": [
          "steady",
          "bursty"
        ],
        "description": "Arrival pattern for the deterministic request trace."
      },
      "seed": {
        "type": "integer",
        "minimum": 1,
        "maximum": 2147483646,
        "description": "Optional deterministic random seed."
      }
    },
    "additionalProperties": false
  }
}

{
  "name": "run_benchmark",
  "kind": "act",
  "impl": "imperative",
  "description": "Run one routing policy through the deterministic browser simulation and update the visible benchmark results. Use compare_routing_policies for a fair side-by-side decision.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "policy": {
        "type": "string",
        "enum": [
          "round_robin",
          "thermalmesh"
        ],
        "description": "The routing policy to simulate or activate."
      }
    },
    "required": [
      "policy"
    ],
    "additionalProperties": false
  }
}

{
  "name": "compare_routing_policies",
  "kind": "act",
  "impl": "imperative",
  "description": "Run Round Robin and ThermalMesh against the exact same cluster, workload, and seeded request trace, update the visible comparison, and calculate a transparent winner in one operation.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "inspect_bottlenecks",
  "kind": "answer",
  "impl": "imperative",
  "description": "Analyze the current valid comparison, or the latest benchmark, and return evidence-based queue concentration, slow-worker overload, saturation, or homogeneous-cluster observations without changing state.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  }
}

{
  "name": "apply_routing_policy",
  "kind": "act",
  "impl": "imperative",
  "description": "Set Round Robin or ThermalMesh as the active routing policy and update the visible policy indicator without changing the cluster, workload, or benchmark results.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "policy": {
        "type": "string",
        "enum": [
          "round_robin",
          "thermalmesh"
        ],
        "description": "The routing policy to simulate or activate."
      }
    },
    "required": [
      "policy"
    ],
    "additionalProperties": false
  }
}