dogebi.github.io

{
  "name": "get_model_overview",
  "kind": "answer",
  "impl": "imperative",
  "description": "Return this atlas model's headline facts: model_type, architectures, dtype, total parameter count, per-precision totals (native/nvfp4/bf16), layer count and category summary. Use this first to understand what model is on the page.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "list_categories",
  "kind": "answer",
  "impl": "imperative",
  "description": "List the atlas tensor categories (e.g. routed experts, attention, vision) with their tensor counts and total parameter counts, so an agent can decide where to look.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "search_tensors",
  "kind": "answer",
  "impl": "imperative",
  "description": "Search weight tensors by name substring, category, or storage format (e.g. \"experts.w1\", cat \"attention\", format \"fp4\"). Returns matching tensor names with shapes, formats, parameter counts and the module/layer they belong to.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "query": {
        "type": "string",
        "description": "Substring to match against the tensor name (case-insensitive). Leave empty to match all."
      },
      "category": {
        "type": "string",
        "description": "Exact category key, e.g. routed, attention, vision, engram, shared, vocab, dspark, other."
      },
      "format": {
        "type": "string",
        "description": "Storage format, e.g. fp4, fp8, bf16."
      },
      "module": {
        "type": "string",
        "description": "Restrict to one module id, e.g. embed or L0."
      },
      "limit": {
        "type": "integer",
        "description": "Max rows to return (default 20, max 200)."
      }
    },
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "get_tensor_detail",
  "kind": "answer",
  "impl": "imperative",
  "description": "Fetch the full record for one tensor by exact name (as returned by search_tensors), including its shape, storage format, parameter count, and the explanatory note the atlas shows in its inspector panel.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "name": {
        "type": "string",
        "description": "Exact tensor name, e.g. \"ffn.experts.w1.weight\"."
      }
    },
    "required": [
      "name"
    ],
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "focus_tensor",
  "kind": "act",
  "impl": "imperative",
  "description": "Navigate the atlas to a tensor so the user sees it highlighted in the 3D view and the inspector panel (uses the page's own selection logic). Use after search_tensors/get_tensor_detail. Returns the resulting view state.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "name": {
        "type": "string",
        "description": "Tensor name to focus, e.g. \"ffn.experts.w1.weight\"."
      },
      "module": {
        "type": "string",
        "description": "Optional module id to disambiguate (e.g. L0)."
      }
    },
    "required": [
      "name"
    ],
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "get_view_state",
  "kind": "answer",
  "impl": "imperative",
  "description": "Report what the user is currently looking at in the atlas: view mode, precision, layout, selected module/tensor, filter, and animation state. Use it to answer \"what am I looking at\" or to stay in sync with the user.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "list_benchmarks",
  "kind": "answer",
  "impl": "imperative",
  "description": "List every reported evaluation on this atlas model card (reasoning, agentic, visual) with each model's score and rank, so an agent can choose a benchmark to compare. Use compare_models for a focused head-to-head.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "category": {
        "type": "string",
        "description": "Optional filter: Reasoning, Agentic or Visual."
      }
    },
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}

{
  "name": "compare_models",
  "kind": "act",
  "impl": "imperative",
  "description": "Compare models on one reported benchmark of this model card. Give a benchmark name (e.g. \"DeepSWE v1.1\") and optionally the models to compare (e.g. [\"DS V4.1 Flash (this atlas)\", \"GLM-5.3\"]); returns each score with rank and delta vs the best reported score, plus the metric caveat.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "benchmark": {
        "type": "string",
        "description": "Benchmark name from list_benchmarks, e.g. \"DeepSWE v1.1\" (partial match allowed)."
      },
      "models": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Optional subset of models to focus the comparison on (partial names allowed)."
      }
    },
    "required": [
      "benchmark"
    ],
    "additionalProperties": false
  },
  "page": "/dsv41-atlas/"
}