> ## Documentation Index > Fetch the complete documentation index at: https://docs.together.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get FP4 preparation job > Retrieve a shaping job owned by the caller's project. ## OpenAPI ````yaml openapi.yaml GET /shaping/{id} openapi: 3.1.0 info: title: Together APIs description: The Together REST API. See https://docs.together.ai for more details. version: 2.0.0 termsOfService: https://www.together.ai/terms-of-service contact: name: Together Support url: https://www.together.ai/contact license: name: MIT url: https://github.com/togethercomputer/openapi/blob/main/LICENSE servers: - url: https://api.together.ai/v1 description: Default environment for APIs - url: https://api-inference.together.ai/v2 description: Optimized environment for inference security: - bearerAuth: [] paths: /shaping/{id}: get: tags: - Shaping summary: Get shaping job description: Retrieve a shaping job owned by the caller's project. operationId: getShapingJob parameters: - name: id in: path required: true schema: description: Shaping job ID beginning with `shp-quant-`. type: string pattern: ^shp-quant-[a-f0-9-]+$ responses: '200': description: Shaping job retrieved successfully. content: application/json: schema: $ref: '#/components/schemas/QuantizationJob' '401': description: Missing or invalid API key. content: application/json: schema: $ref: '#/components/schemas/ErrorData' '404': description: Shaping job not found. content: application/json: schema: $ref: '#/components/schemas/ErrorData' '500': description: Internal server error. content: application/json: schema: $ref: '#/components/schemas/ErrorData' components: schemas: QuantizationJob: description: Quantization job that prepares an adapter for FP4 inference. allOf: - $ref: '#/components/schemas/BaseShapingJob' - type: object description: Quantization job that prepares an adapter for FP4 inference. required: - params - events properties: params: $ref: '#/components/schemas/QuantizationPipelineSpec' description: Job specification. results: $ref: '#/components/schemas/QuantizationResults' description: Model artifacts produced by the job. events: type: array description: Events emitted by the job. items: $ref: '#/components/schemas/QuantizationEvent' ErrorData: type: object required: - error properties: error: type: object properties: message: type: string nullable: false type: type: string nullable: false param: type: string nullable: true default: null code: type: string nullable: true default: null required: - type - message BaseShapingJob: type: object description: Public fields common to shaping jobs. required: - id - job_type - status - created_at - updated_at - user_id properties: id: type: string pattern: ^shp-quant-[a-f0-9-]+$ description: Unique shaping job ID. job_type: $ref: '#/components/schemas/ShapingJobType' description: Type of shaping job. status: $ref: '#/components/schemas/ShapingJobStatus' description: Current job status. created_at: type: string format: date-time description: Time when the job was created. updated_at: type: string format: date-time description: Time when the job was last updated. user_id: type: string description: User that created the job. QuantizationPipelineSpec: type: object description: >- Stored job specification containing the request and resolved configuration. required: - inputs - configuration properties: inputs: $ref: '#/components/schemas/QuantizationPipelineInputs' description: Adapter inputs requested by the caller. configuration: $ref: '#/components/schemas/QuantizationPipelineConfiguration' description: Server-resolved configuration for the run. QuantizationResults: type: object description: Model artifact produced by a completed quantization job. properties: model_object_id: type: string description: Model object ID registered by the job. model_revision_id: type: string description: Model revision ID registered by the job. QuantizationEvent: description: Event emitted by a quantization job. allOf: - $ref: '#/components/schemas/BaseShapingEvent' - type: object description: Event emitted by a quantization job. properties: type: type: string description: Quantization event type. enum: - SHAPING_ERROR - SHAPING_USER_ERROR - QUANTIZATION_JOB_START - QUANTIZATION_MODEL_DOWNLOAD_COMPLETE - QUANTIZATION_MERGE_COMPLETE - QUANTIZATION_QUANTIZE_PROCESS_START - QUANTIZATION_QUANTIZE_PROCESS_COMPLETE - QUANTIZATION_MODEL_UPLOAD_COMPLETE - QUANTIZATION_JOB_COMPLETE result: $ref: '#/components/schemas/QuantizationResults' description: Result attached to completion events. ShapingJobType: type: string description: Kind of shaping job. enum: - quantization ShapingJobStatus: type: string description: Lifecycle status of a shaping job. enum: - pending - queued - running - completed - cancelled - cancel_requested - error - user_error QuantizationPipelineInputs: type: object description: Adapter identifiers to prepare. required: - adapter_object_id properties: adapter_object_id: type: string pattern: ^ml_.+ description: Model object ID of the adapter to prepare. adapter_revision_id: type: string pattern: ^rv_.+ description: >- Adapter revision ID to prepare. Omit to use the adapter's current revision. calibration_file_id: type: string pattern: ^file-.+ description: > Conversation dataset file ID to use for calibration. Upload it first with `POST /v1/files` using purpose `calibration` and file type `jsonl`. Each JSONL row must contain a `messages` array and may contain a `tools` array. When provided, the job draws half of the calibration corpus from this file and half from a general-text corpus. When omitted, the job calibrates on the general-text corpus only. The request is rejected unless the file exists in the request project, has finished uploading, has passed files API validation as a conversation dataset, is not empty, and is at most 64 MiB. A `fine-tune` purpose file is also accepted so a training file can be reused. example: file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35 example: adapter_object_id: ml_CeG3fF6pyEViU8dE8pk7R adapter_revision_id: rv_CeG3faPBj2ABwbAaHPTmx calibration_file_id: file-5f1b0c7a-2d19-4a3e-9c60-8ab41c2f7d35 QuantizationPipelineConfiguration: type: object description: Server-resolved configuration for a quantization job. readOnly: true required: - user_id - adapter_project_id - adapter_revision_id - adapter_model_name - base_object_id - base_revision_id - base_model_name properties: user_id: type: string description: User whose scope is used to fetch the adapter weights. example: user_CKfewYkQBpaEmN7wuQS3W adapter_project_id: type: string description: Project that owns the adapter. example: proj_CczF9KYFantA84sNYDTJd adapter_revision_id: type: string description: Adapter revision selected for preparation. example: rv_CeERyXMBQCJTRC1yqGTpk adapter_model_name: type: string description: Qualified adapter model name. example: ft-qa-artifacts/glm-5.3-e2e-test-adapter base_object_id: type: string description: Model object ID of the adapter's base model. example: ml_CbJ9yCnij7A47b1xkpioB base_revision_id: type: string description: Revision ID of the adapter's base model. example: rv_CbJ9yNrws93VQrZum1fTE base_model_name: type: string description: Qualified name of the base model. example: zai-org/GLM-5.3-NVFP4 BaseShapingEvent: type: object description: Public fields common to shaping events. required: - object - created_at - level - message - type properties: object: type: string const: shaping description: Object type, always `shaping`. created_at: type: string format: date-time description: Time when the event was created. level: $ref: '#/components/schemas/EventLevel' description: Event severity level. message: type: string description: Human-readable event message. type: type: string description: Event type identifier. hash: type: string description: Event hash used for deduplication. EventLevel: type: string description: Severity level for a shaping event. enum: - Info - Warning - Error securitySchemes: bearerAuth: type: http scheme: bearer x-bearer-format: bearer x-default: default ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.