Replicate allows users to run AI models via a cloud API without managing infrastructure.
31
Available Tools
0
Triggers
Tool to get authenticated account information. Use when you need to retrieve details about the account associated with the API token.
Tool to cancel a prediction that is still running. Use when you need to stop an in-progress prediction to free up resources or halt execution.
Tool to get a specific collection of models by its slug. Use when you need detailed information about a collection and its models.
Tool to list all collections of models. Use when you need to retrieve available model collections. Collections are curated groupings of related models. Response includes only collection metadata (name, slug, description), not individual models within each collection; use REPLICATE_MODELS_GET for per-model details. Response may include a non-null `next` field indicating additional pages; follow it to enumerate all collections.
Tool to create a new Replicate model with specified owner, name, visibility, and hardware. Use when you need to create a destination model before launching LoRA/fine-tune training.
Tool to create a prediction for a Replicate Deployment. IMPORTANT: This action ONLY works with Replicate Deployments (persistent instances you create and manage), NOT public models. Deployments are created via REPLICATE_DEPLOYMENTS_CREATE. To run public models (e.g., 'meta/llama-2-70b-chat', 'stability-ai/sdxl'), use REPLICATE_MODELS_PREDICTIONS_CREATE instead. Use 'wait_for' to wait until the prediction completes.
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