# Inspect Command

The `inspect` command can be used to inspect the details of a particular Konduit Server based on given the server's id. This command helps in getting the details of a server configuration which can be further filter and formatted through a query string. You can specify the query string with either the `--query` or `-q` option.

#### Examples

The following command will inspect the whole configuration of server with an id of 'inf\_server':

```bash
$ konduit inspect inf_server
```

The command will let you inspect the whole configuration setting based on your JSON/YAML file:

```bash
{
  "host" : "localhost",
  "port" : 42849,
  "useSsl" : false,
  "protocol" : "HTTP",
  "staticContentRoot" : "static-content",
  "staticContentUrl" : "/static-content",
  "staticContentIndexPage" : "/index.html",
  "kafkaConfiguration" : {
    "startHttpServerForKafka" : true,
    "httpKafkaHost" : "localhost",
    "httpKafkaPort" : 0,
    "consumerTopicName" : "inference-in",
    "consumerKeyDeserializerClass" : "io.vertx.kafka.client.serialization.JsonObjectDeserializer",
    "consumerValueDeserializerClass" : "io.vertx.kafka.client.serialization.JsonObjectDeserializer",
    "consumerGroupId" : "konduit-serving-consumer-group",
    "consumerAutoOffsetReset" : "earliest",
    "consumerAutoCommit" : "true",
    "producerTopicName" : "inference-out",
    "producerKeySerializerClass" : "io.vertx.kafka.client.serialization.JsonObjectSerializer",
    "producerValueSerializerClass" : "io.vertx.kafka.client.serialization.JsonObjectSerializer",
    "producerAcks" : "1"
  },
  "mqttConfiguration" : { },
  "customEndpoints" : [ ],
  "pipeline" : {
    "steps" : [ {
      "@type" : "IMAGE_TO_NDARRAY",
      "config" : {
        "height" : 28,
        "width" : 28,
        "dataType" : "FLOAT",
        "includeMinibatchDim" : true,
        "aspectRatioHandling" : "CENTER_CROP",
        "format" : "CHANNELS_FIRST",
        "channelLayout" : "GRAYSCALE",
        "normalization" : {
          "type" : "SCALE"
        },
        "listHandling" : "NONE"
      },
      "keys" : [ "image" ],
      "outputNames" : [ "layer0" ],
      "keepOtherValues" : true,
      "metadata" : false,
      "metadataKey" : "@ImageToNDArrayStepMetadata"
    }, {
      "@type" : "LOGGING",
      "logLevel" : "INFO",
      "log" : "KEYS_AND_VALUES"
    }, {
      "@type" : "DEEPLEARNING4J",
      "modelUri" : "dl4j-mnist.zip",
      "inputNames" : [ "layer0" ],
      "outputNames" : [ "layer5" ]
    }, {
      "@type" : "CLASSIFIER_OUTPUT",
      "inputName" : "layer5",
      "returnLabel" : true,
      "returnIndex" : true,
      "returnProb" : true,
      "labelName" : "label",
      "indexName" : "index",
      "probName" : "prob",
      "labels" : [ "0", "1", "2", "3", "4", "5", "6", "7", "8", "9" ],
      "allProbabilities" : false
    } ]
  }
}
```

You can use `--query` command flag to get specific fields of the server configuration. For example, the following command will print the host and port of the server: 

```bash
$ konduit inspect inf_server --query {host}:{port}
```

You'll get the output based on what you have specified:

```bash
localhost:42849
```

You can also use same command flag to get pipeline details, for example: 

```bash
$ konduit inspect inf_server --query {host}:{port}-{pipeline}
```

You'll be able to see similar output including pipeline details like this:

```bash
localhost:42849-{"steps":[{"@type":"IMAGE_TO_NDARRAY","config":{"height":28,"width":28,"dataType":"FLOAT","includeMinibatchDim":true,"aspectRatioHandling":"CENTER_CROP","format":"CHANNELS_FIRST","channelLayout":"GRAYSCALE","normalization":{"type":"SCALE"},"listHandling":"NONE"},"keys":["image"],"outputNames":["layer0"],"keepOtherValues":true,"metadata":false,"metadataKey":"@ImageToNDArrayStepMetadata"},{"@type":"LOGGING","logLevel":"INFO","log":"KEYS_AND_VALUES"},{"@type":"DEEPLEARNING4J","modelUri":"dl4j-mnist.zip","inputNames":["layer0"],"outputNames":["layer5"]},{"@type":"CLASSIFIER_OUTPUT","inputName":"layer5","returnLabel":true,"returnIndex":true,"returnProb":true,"labelName":"label","indexName":"index","probName":"prob","labels":["0","1","2","3","4","5","6","7","8","9"],"allProbabilities":false}]}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://serving.konduit.ai/examples/cli/commands/inspect-command.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.