{
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    "title": "Conda Repodata Extractor",
    "description": "Point at any Conda channel's repodata.json and get one structured row per package: name, version, build, subdir, license, md5/sha256, size, timestamp, depends and constrains.",
    "version": "0.1",
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  },
  "components": {
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      "inputSchema": {
        "type": "object",
        "required": [
          "channelUrl"
        ],
        "properties": {
          "channelUrl": {
            "title": "Conda channel URL (or repodata.json URL)",
            "type": "string",
            "description": "A conda channel base OR a full repodata.json URL. Every conda channel publishes the identical repodata standard, so one actor works against any of them: https://conda.anaconda.org/pytorch (channel base — completed with the subdir below), https://conda.anaconda.org/bioconda, https://conda.anaconda.org/nvidia, https://conda.anaconda.org/conda-forge, https://repo.anaconda.com/pkgs/main (Anaconda defaults), or any self-hosted / org / anaconda.org channel. You can also paste a full URL like https://conda.anaconda.org/pytorch/noarch/repodata.json. A compressed .json.bz2 / .json.zst URL is rewritten to the plain .json."
          },
          "subdir": {
            "title": "Subdir (platform)",
            "enum": [
              "noarch",
              "linux-64",
              "linux-aarch64",
              "linux-ppc64le",
              "osx-64",
              "osx-arm64",
              "win-64",
              "win-arm64"
            ],
            "type": "string",
            "description": "The platform subdir to read when channelUrl is a channel BASE (ignored when channelUrl already points at a repodata.json). Common values: noarch (default, cross-platform packages), linux-64, linux-aarch64, osx-64, osx-arm64, win-64. Each subdir has its own repodata.json.",
            "default": "noarch"
          },
          "packageFilter": {
            "title": "Package name filter (substring)",
            "type": "string",
            "description": "Optional case-insensitive substring matched against each record's package name; records whose name does not contain it are skipped. Leave empty to extract every package in the subdir. Example: torch (matches pytorch, botorch, torchvision, …)."
          },
          "maxRecords": {
            "title": "Max records (global cap)",
            "minimum": 1,
            "type": "integer",
            "description": "A GLOBAL cap on the number of package-record rows to emit (each row is one package record and one billable event). Records are emitted in globally-sorted filename order and repodata.json is an immutable file, so a small cap is deterministic. Leave empty to emit every record — note a big channel subdir (e.g. conda-forge/linux-64) can hold hundreds of thousands of records."
          },
          "bearer": {
            "title": "Bearer token",
            "type": "string",
            "description": "Optional bearer token for a private/gated conda channel (sent as Authorization: Bearer ***). Not required for public channels. Never logged."
          },
          "extraHeaders": {
            "title": "Extra request headers",
            "type": "object",
            "description": "Optional extra HTTP headers as a JSON object, e.g. {\"x-api-key\": \"...\"} for gated/authenticated channels. Not required for public channels. Header values are never logged."
          }
        }
      },
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        "properties": {
          "data": {
            "type": "object",
            "properties": {
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                "type": "string",
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              },
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                  "userAgent": {
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              },
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                    "example": 0
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                }
              },
              "options": {
                "type": "object",
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                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
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                  },
                  "memoryMbytes": {
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
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              "defaultDatasetId": {
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              "defaultRequestQueueId": {
                "type": "string"
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