com.mcparmory/replicate

Cancel an in-progress prediction. This stops the model execution and prevents further processing of the prediction.

Cancel an active or scheduled training session. Once cancelled, the training will no longer be available and participants will be notified of the cancellation.

Create a new deployment to run a specific model version on designated hardware with auto-scaling configuration. The deployment will be immediately available for inference requests.

Create a prediction by running a model on a deployment with specified inputs. The request can optionally wait synchronously for results (up to 60 seconds) or return immediately with a prediction ID for asynchronous polling.

Upload a file with its content and optional metadata. The file is stored and can be referenced by its returned ID for use in other operations.

Create a new model in your account. Each account is limited to 1,000 models; for iterative improvements, create new versions of an existing model instead.

Submit a prediction request to run a model with specified inputs. The request can optionally wait synchronously for results (up to 60 seconds) or return immediately with a prediction ID for asynchronous polling.

Create a prediction by running an official model. The request can optionally wait synchronously for up to 60 seconds for the model to complete, or return immediately with a starting status for asynchronous polling.

Start a new training job for a model version. The training will create a new version of the model at the specified destination when complete. Since training can take several minutes or longer, use webhooks or polling to track completion.

Delete a deployment that has been offline and unused for at least 15 minutes. The operation returns a 204 status code on successful deletion.

Permanently delete a file by its ID. Once deleted, the file resource will no longer be accessible and subsequent requests will return a 404 Not Found error.

Permanently delete a private model you own. The model must have no versions associated with it—delete all versions before attempting to delete the model itself.

Permanently delete a specific model version and all associated predictions and output files. Deletion is asynchronous and may take several minutes to complete.

Retrieve information about the authenticated account associated with the provided API token, including account type, username, display name, and GitHub URL.

Retrieve a collection of models by its slug, including the collection metadata and all models within it.

Retrieve the signing secret for the default webhook endpoint. Use this secret to verify that incoming webhook requests are authentically from Replicate.

Retrieve detailed information about a specific deployment, including its current release configuration, hardware settings, and scaling parameters.

Retrieve detailed metadata and information about a specific file by its ID.

Download a file using authenticated access credentials. Requires the file ID, owner information, and a cryptographically signed URL that includes an expiration timestamp.

Retrieve detailed metadata for a specific model, including its latest version, input/output schemas, and example prediction. Returns comprehensive information about the model's configuration, visibility, and usage statistics.

Retrieve the README documentation for a specific model. Returns the README content as plain text in Markdown format.

Retrieve detailed metadata and schema information for a specific version of a model, including its OpenAPI schema that describes the model's inputs and outputs.

Retrieve the current state and results of a prediction, including its status, output, logs, and performance metrics.

Retrieve the current state and results of a training job, including status, metrics, logs, and output artifacts.

Retrieve a list of all available hardware accelerators and compute resources that can be used for running models on Replicate.

Retrieve a paginated list of model collections available on Replicate, each containing curated groups of related models organized by use case or capability.

Retrieve a paginated list of all deployments associated with your account, sorted by most recent first. Each deployment includes its current release configuration with model, version, and hardware settings.

Retrieve a paginated list of all files created by the user or organization associated with the API token, sorted with the most recent file first.

Retrieve all example predictions that were saved by the model author to demonstrate the model's capabilities. Use this to browse illustrative examples; for just the default example, use the get_model operation instead.

Retrieve all versions of a model owned by a specific user or organization, sorted with the most recent version first. Returns paginated results including version metadata and OpenAPI schemas.

Retrieve a paginated list of publicly available models, optionally sorted by creation date or latest version update.

Retrieve a paginated list of all predictions created by your user or organization, including those from both API and web sources. Results are sorted with the most recent prediction first, returning up to 100 records per page.

Retrieve a paginated list of all trainings created by your user account or organization. Results include trainings from both API and web sources, sorted by most recent first, with 100 records per page.

Search for public models on Replicate using a text query. Returns a paginated list of models matching your search criteria.

Search across public models, collections, and documentation using a text query. Results include detailed metadata such as AI-generated descriptions, tags, and relevance scores to help identify the most suitable resources.

Modify an existing deployment's configuration, including hardware SKU, scaling limits, and model version. Each update increments the deployment's release number.

Update metadata properties for an existing model, including description, documentation, and resource links. Only specified properties are updated; omitted properties remain unchanged.