## Create Classify Job

`client.Classify.New(ctx, params) (*ClassifyNewResponse, error)`

**post** `/api/v2/classify`

Create a classify job.

Classifies a document against a set of rules. Set `file_input`
to a file ID (`dfl-...`) or parse job ID (`pjb-...`), and provide
either inline `configuration` with rules or a `configuration_id`
referencing a saved preset.

Each rule has a `type` (the label to assign) and a `description`
(natural language criteria). The classifier returns the best
matching rule with a confidence score.

The job runs asynchronously. Poll `GET /classify/{job_id}` to
check status and retrieve results.

### Parameters

- `params ClassifyNewParams`

  - `ClassifyCreateRequest param.Field[ClassifyCreateRequest]`

    Body param: Request to create a classify job.

  - `OrganizationID param.Field[string]`

    Query param

  - `ProjectID param.Field[string]`

    Query param

### Returns

- `type ClassifyNewResponse struct{…}`

  Response for a classify job.

  - `ID string`

    Unique identifier

  - `Configuration ClassifyConfiguration`

    Classify configuration used for this job

    - `Rules []ClassifyConfigurationRule`

      Classify rules to evaluate against the document (at least one required)

      - `Description string`

        Natural language criteria for matching this rule

      - `Type string`

        Document type to assign when rule matches

    - `Mode ClassifyConfigurationMode`

      Classify execution mode

      - `const ClassifyConfigurationModeFast ClassifyConfigurationMode = "FAST"`

    - `ParsingConfiguration ClassifyConfigurationParsingConfiguration`

      Parsing configuration for classify jobs.

      - `Lang string`

        ISO 639-1 language code for the document

      - `MaxPages int64`

        Maximum number of pages to process. Omit for no limit.

      - `TargetPages string`

        Comma-separated page numbers or ranges to process (1-based). Omit to process all pages.

  - `DocumentInputType ClassifyNewResponseDocumentInputType`

    Whether the input was a file or parse job (FILE or PARSE_JOB)

    - `const ClassifyNewResponseDocumentInputTypeURL ClassifyNewResponseDocumentInputType = "url"`

    - `const ClassifyNewResponseDocumentInputTypeFileID ClassifyNewResponseDocumentInputType = "file_id"`

    - `const ClassifyNewResponseDocumentInputTypeParseJobID ClassifyNewResponseDocumentInputType = "parse_job_id"`

  - `FileInput string`

    ID of the input file or parse job

  - `ProjectID string`

    Project this job belongs to

  - `Status ClassifyNewResponseStatus`

    Current job status: PENDING, RUNNING, COMPLETED, or FAILED

    - `const ClassifyNewResponseStatusPending ClassifyNewResponseStatus = "PENDING"`

    - `const ClassifyNewResponseStatusRunning ClassifyNewResponseStatus = "RUNNING"`

    - `const ClassifyNewResponseStatusCompleted ClassifyNewResponseStatus = "COMPLETED"`

    - `const ClassifyNewResponseStatusFailed ClassifyNewResponseStatus = "FAILED"`

  - `UserID string`

    User who created this job

  - `ConfigurationID string`

    Product configuration ID

  - `CreatedAt Time`

    Creation datetime

  - `ErrorMessage string`

    Error message if job failed

  - `ParseJobID string`

    Associated parse job ID

  - `Result ClassifyResult`

    Result of classifying a document.

    - `Confidence float64`

      Confidence score between 0.0 and 1.0

    - `Reasoning string`

      Why the document matched (or didn't match) the returned rule

    - `Type string`

      Matched rule type, or null if no rule matched

  - `TransactionID string`

    Idempotency key

  - `UpdatedAt Time`

    Update datetime

### Example

```go
package main

import (
  "context"
  "fmt"

  "github.com/stainless-sdks/llamacloud-prod-go"
  "github.com/stainless-sdks/llamacloud-prod-go/option"
)

func main() {
  client := llamacloudprod.NewClient(
    option.WithAPIKey("My API Key"),
  )
  classify, err := client.Classify.New(context.TODO(), llamacloudprod.ClassifyNewParams{
    ClassifyCreateRequest: llamacloudprod.ClassifyCreateRequestParam{

    },
  })
  if err != nil {
    panic(err.Error())
  }
  fmt.Printf("%+v\n", classify.ID)
}
```

#### Response

```json
{
  "id": "id",
  "configuration": {
    "rules": [
      {
        "description": "contains invoice number, line items, and total amount",
        "type": "invoice"
      }
    ],
    "mode": "FAST",
    "parsing_configuration": {
      "lang": "en",
      "max_pages": 10,
      "target_pages": "1,3,5-7"
    }
  },
  "document_input_type": "url",
  "file_input": "file_input",
  "project_id": "project_id",
  "status": "PENDING",
  "user_id": "user_id",
  "configuration_id": "configuration_id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "error_message": "error_message",
  "parse_job_id": "parse_job_id",
  "result": {
    "confidence": 0,
    "reasoning": "reasoning",
    "type": "type"
  },
  "transaction_id": "transaction_id",
  "updated_at": "2019-12-27T18:11:19.117Z"
}
```